id	sid	tid	token	lemma	pos
easat-5272	1	1	edelweiss	edelweiss	PROPN
easat-5272	1	2	applied	apply	VERB
easat-5272	1	3	science	science	NOUN
easat-5272	1	4	and	and	CCONJ
easat-5272	1	5	technology	technology	NOUN
easat-5272	1	6	issn	issn	PROPN
easat-5272	1	7	:	:	PUNCT
easat-5272	1	8	2576	2576	NUM
easat-5272	1	9	-	-	SYM
easat-5272	1	10	8484	8484	NUM
easat-5272	1	11	vol	vol	NOUN
easat-5272	1	12	.	.	PROPN
easat-5272	2	1	9	9	NUM
easat-5272	2	2	,	,	PUNCT
easat-5272	2	3	no	no	INTJ
easat-5272	2	4	.	.	NOUN
easat-5272	2	5	3	3	NUM
easat-5272	2	6	,	,	PUNCT
easat-5272	2	7	633	633	NUM
easat-5272	2	8	-	-	SYM
easat-5272	2	9	650	650	NUM
easat-5272	2	10	2025	2025	NUM
easat-5272	2	11	publisher	publisher	NOUN
easat-5272	2	12	:	:	PUNCT
easat-5272	2	13	learning	learn	VERB
easat-5272	2	14	gate	gate	NOUN
easat-5272	2	15	doi	doi	PROPN
easat-5272	2	16	:	:	PUNCT
easat-5272	2	17	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	2	18	©	©	PROPN
easat-5272	2	19	2025	2025	NUM
easat-5272	2	20	by	by	ADP
easat-5272	2	21	the	the	DET
easat-5272	2	22	authors	author	NOUN
easat-5272	2	23	;	;	PUNCT
easat-5272	2	24	licensee	licensee	PROPN
easat-5272	2	25	learning	learning	NOUN
easat-5272	2	26	gate	gate	NOUN
easat-5272	3	1	©	©	PROPN
easat-5272	3	2	2025	2025	NUM
easat-5272	3	3	by	by	ADP
easat-5272	3	4	the	the	DET
easat-5272	3	5	authors	author	NOUN
easat-5272	3	6	;	;	PUNCT
easat-5272	3	7	licensee	licensee	PROPN
easat-5272	3	8	learning	learning	NOUN
easat-5272	3	9	gate	gate	NOUN
easat-5272	3	10	history	history	NOUN
easat-5272	3	11	:	:	PUNCT
easat-5272	3	12	received	receive	VERB
easat-5272	3	13	:	:	PUNCT
easat-5272	3	14	7	7	NUM
easat-5272	3	15	january	january	NOUN
easat-5272	3	16	2025	2025	NUM
easat-5272	3	17	;	;	PUNCT
easat-5272	3	18	revised	revise	VERB
easat-5272	3	19	:	:	PUNCT
easat-5272	3	20	14	14	NUM
easat-5272	3	21	february	february	NOUN
easat-5272	3	22	2025	2025	NUM
easat-5272	3	23	;	;	PUNCT
easat-5272	3	24	accepted	accept	VERB
easat-5272	3	25	:	:	PUNCT
easat-5272	3	26	17	17	NUM
easat-5272	3	27	february	february	NOUN
easat-5272	3	28	2025	2025	NUM
easat-5272	3	29	;	;	PUNCT
easat-5272	3	30	published	publish	VERB
easat-5272	3	31	:	:	PUNCT
easat-5272	3	32	8	8	NUM
easat-5272	3	33	march	march	NOUN
easat-5272	3	34	2025	2025	NUM
easat-5272	3	35	*	*	PUNCT
easat-5272	3	36	correspondence	correspondence	NOUN
easat-5272	3	37	:	:	PUNCT
easat-5272	4	1	chonlatee.p@msu.ac.th	chonlatee.p@msu.ac.th	ADJ
easat-5272	4	2	a	a	DET
easat-5272	4	3	transfer	transfer	NOUN
easat-5272	4	4	learning	learning	NOUN
easat-5272	4	5	method	method	NOUN
easat-5272	4	6	based	base	VERB
easat-5272	4	7	on	on	ADP
easat-5272	4	8	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	4	9	for	for	ADP
easat-5272	4	10	elevator	elevator	NOUN
easat-5272	4	11	guideway	guideway	NOUN
easat-5272	4	12	fault	fault	NOUN
easat-5272	4	13	diagnosis	diagnosis	NOUN
easat-5272	4	14	zhiwei	zhiwei	PROPN
easat-5272	4	15	zhou1	zhou1	PROPN
easat-5272	4	16	,	,	PUNCT
easat-5272	4	17	xuwen	xuwen	PROPN
easat-5272	4	18	zheng1	zheng1	PROPN
easat-5272	4	19	,	,	PUNCT
easat-5272	4	20	tao	tao	PROPN
easat-5272	4	21	chen2	chen2	PROPN
easat-5272	4	22	,	,	PUNCT
easat-5272	4	23	chonlatee	chonlatee	NOUN
easat-5272	4	24	photong1	photong1	NOUN
easat-5272	4	25	*	*	PROPN
easat-5272	4	26	1faculty	1faculty	NUM
easat-5272	4	27	of	of	ADP
easat-5272	4	28	engineering	engineering	NOUN
easat-5272	4	29	,	,	PUNCT
easat-5272	4	30	mahasarakham	mahasarakham	PROPN
easat-5272	4	31	university	university	PROPN
easat-5272	4	32	,	,	PUNCT
easat-5272	4	33	maha	maha	PROPN
easat-5272	4	34	sarakham	sarakham	PROPN
easat-5272	4	35	,	,	PUNCT
easat-5272	4	36	44150	44150	NUM
easat-5272	4	37	,	,	PUNCT
easat-5272	4	38	thailand	thailand	PROPN
easat-5272	4	39	;	;	PUNCT
easat-5272	4	40	65010363010@msu.ac.th	65010363010@msu.ac.th	NUM
easat-5272	4	41	(	(	PUNCT
easat-5272	4	42	z.z	z.z	PROPN
easat-5272	4	43	.	.	PUNCT
easat-5272	4	44	)	)	PUNCT
easat-5272	5	1	2240053955@qq.com	2240053955@qq.com	NUM
easat-5272	5	2	(	(	PUNCT
easat-5272	5	3	x.z	x.z	PROPN
easat-5272	5	4	.	.	PUNCT
easat-5272	5	5	)	)	PUNCT
easat-5272	6	1	chonlatee.p@msu.ac.th	chonlatee.p@msu.ac.th	PROPN
easat-5272	6	2	(	(	PUNCT
easat-5272	6	3	c.p	c.p	PROPN
easat-5272	6	4	.	.	PROPN
easat-5272	6	5	)	)	PUNCT
easat-5272	6	6	.	.	PUNCT
easat-5272	7	1	2hunan	2hunan	NUM
easat-5272	7	2	mechanical	mechanical	ADJ
easat-5272	7	3	&	&	CCONJ
easat-5272	7	4	electrical	electrical	ADJ
easat-5272	7	5	polytechnic	polytechnic	ADJ
easat-5272	7	6	,	,	PUNCT
easat-5272	7	7	changsha	changsha	PROPN
easat-5272	7	8	,	,	PUNCT
easat-5272	7	9	410151	410151	NUM
easat-5272	7	10	,	,	PUNCT
easat-5272	7	11	hunan	hunan	PROPN
easat-5272	7	12	,	,	PUNCT
easat-5272	7	13	china	china	PROPN
easat-5272	7	14	;	;	PUNCT
easat-5272	7	15	583834529@qq.com	583834529@qq.com	NUM
easat-5272	7	16	(	(	PUNCT
easat-5272	7	17	t.c	t.c	PROPN
easat-5272	7	18	.	.	PROPN
easat-5272	7	19	)	)	PUNCT
easat-5272	7	20	.	.	PUNCT
easat-5272	8	1	abstract	abstract	ADJ
easat-5272	8	2	:	:	PUNCT
easat-5272	8	3	elevator	elevator	NOUN
easat-5272	8	4	guideway	guideway	NOUN
easat-5272	8	5	vibration	vibration	NOUN
easat-5272	8	6	fault	fault	NOUN
easat-5272	8	7	diagnosis	diagnosis	NOUN
easat-5272	8	8	is	be	AUX
easat-5272	8	9	essential	essential	ADJ
easat-5272	8	10	for	for	ADP
easat-5272	8	11	ensuring	ensure	VERB
easat-5272	8	12	elevator	elevator	NOUN
easat-5272	8	13	safety	safety	NOUN
easat-5272	8	14	and	and	CCONJ
easat-5272	8	15	stability	stability	NOUN
easat-5272	8	16	.	.	PUNCT
easat-5272	9	1	however	however	ADV
easat-5272	9	2	,	,	PUNCT
easat-5272	9	3	vibration	vibration	NOUN
easat-5272	9	4	signals	signal	NOUN
easat-5272	9	5	exhibit	exhibit	VERB
easat-5272	9	6	complex	complex	ADJ
easat-5272	9	7	non	non	ADJ
easat-5272	9	8	-	-	ADJ
easat-5272	9	9	stationary	stationary	ADJ
easat-5272	9	10	characteristics	characteristic	NOUN
easat-5272	9	11	,	,	PUNCT
easat-5272	9	12	and	and	CCONJ
easat-5272	9	13	abnormal	abnormal	ADJ
easat-5272	9	14	vibration	vibration	NOUN
easat-5272	9	15	samples	sample	NOUN
easat-5272	9	16	are	be	AUX
easat-5272	9	17	limited	limited	ADJ
easat-5272	9	18	.	.	PUNCT
easat-5272	10	1	this	this	DET
easat-5272	10	2	paper	paper	NOUN
easat-5272	10	3	proposes	propose	VERB
easat-5272	10	4	an	an	DET
easat-5272	10	5	advanced	advanced	ADJ
easat-5272	10	6	fault	fault	NOUN
easat-5272	10	7	diagnosis	diagnosis	NOUN
easat-5272	10	8	method	method	NOUN
easat-5272	10	9	combining	combine	VERB
easat-5272	10	10	multi	multi	ADJ
easat-5272	10	11	-	-	ADJ
easat-5272	10	12	channel	channel	ADJ
easat-5272	10	13	one	one	NUM
easat-5272	10	14	-	-	PUNCT
easat-5272	10	15	dimensional	dimensional	ADJ
easat-5272	10	16	convolutional	convolutional	ADJ
easat-5272	10	17	neural	neural	ADJ
easat-5272	10	18	networks	network	NOUN
easat-5272	10	19	(	(	PUNCT
easat-5272	10	20	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	10	21	)	)	PUNCT
easat-5272	10	22	with	with	ADP
easat-5272	10	23	transfer	transfer	NOUN
easat-5272	10	24	learning	learning	NOUN
easat-5272	10	25	for	for	ADP
easat-5272	10	26	elevator	elevator	NOUN
easat-5272	10	27	guideways	guideway	NOUN
easat-5272	10	28	.	.	PUNCT
easat-5272	11	1	1d	1d	NUM
easat-5272	11	2	-	-	PUNCT
easat-5272	11	3	cnn	cnn	PROPN
easat-5272	11	4	is	be	AUX
easat-5272	11	5	employed	employ	VERB
easat-5272	11	6	to	to	PART
easat-5272	11	7	extract	extract	VERB
easat-5272	11	8	local	local	ADJ
easat-5272	11	9	temporal	temporal	ADJ
easat-5272	11	10	correlations	correlation	NOUN
easat-5272	11	11	in	in	ADP
easat-5272	11	12	vibration	vibration	NOUN
easat-5272	11	13	signals	signal	NOUN
easat-5272	11	14	,	,	PUNCT
easat-5272	11	15	while	while	SCONJ
easat-5272	11	16	empirical	empirical	ADJ
easat-5272	11	17	mode	mode	NOUN
easat-5272	11	18	decomposition	decomposition	NOUN
easat-5272	11	19	(	(	PUNCT
easat-5272	11	20	emd	emd	NOUN
easat-5272	11	21	)	)	PUNCT
easat-5272	11	22	decomposes	decompose	VERB
easat-5272	11	23	signals	signal	NOUN
easat-5272	11	24	into	into	ADP
easat-5272	11	25	intrinsic	intrinsic	ADJ
easat-5272	11	26	mode	mode	NOUN
easat-5272	11	27	functions	function	NOUN
easat-5272	11	28	(	(	PUNCT
easat-5272	11	29	imfs	imfs	NOUN
easat-5272	11	30	)	)	PUNCT
easat-5272	11	31	to	to	PART
easat-5272	11	32	provide	provide	VERB
easat-5272	11	33	multi	multi	ADJ
easat-5272	11	34	-	-	ADJ
easat-5272	11	35	frequency	frequency	ADJ
easat-5272	11	36	features	feature	NOUN
easat-5272	11	37	as	as	ADP
easat-5272	11	38	multi	multi	ADJ
easat-5272	11	39	-	-	ADJ
easat-5272	11	40	channel	channel	NOUN
easat-5272	11	41	inputs	input	NOUN
easat-5272	11	42	.	.	PUNCT
easat-5272	12	1	the	the	DET
easat-5272	12	2	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	12	3	is	be	AUX
easat-5272	12	4	pre	pre	ADJ
easat-5272	12	5	-	-	VERB
easat-5272	12	6	trained	train	VERB
easat-5272	12	7	on	on	ADP
easat-5272	12	8	the	the	DET
easat-5272	12	9	case	case	NOUN
easat-5272	12	10	western	western	PROPN
easat-5272	12	11	reserve	reserve	PROPN
easat-5272	12	12	university	university	PROPN
easat-5272	12	13	(	(	PUNCT
easat-5272	12	14	cwru	cwru	PROPN
easat-5272	12	15	)	)	PUNCT
easat-5272	12	16	bearing	bear	VERB
easat-5272	12	17	fault	fault	NOUN
easat-5272	12	18	dataset	dataset	VERB
easat-5272	12	19	to	to	PART
easat-5272	12	20	learn	learn	VERB
easat-5272	12	21	general	general	ADJ
easat-5272	12	22	mechanical	mechanical	ADJ
easat-5272	12	23	fault	fault	NOUN
easat-5272	12	24	features	feature	NOUN
easat-5272	12	25	and	and	CCONJ
easat-5272	12	26	is	be	AUX
easat-5272	12	27	then	then	ADV
easat-5272	12	28	fine	fine	ADV
easat-5272	12	29	-	-	PUNCT
easat-5272	12	30	tuned	tune	VERB
easat-5272	12	31	on	on	ADP
easat-5272	12	32	the	the	DET
easat-5272	12	33	elevator	elevator	NOUN
easat-5272	12	34	guideway	guideway	NOUN
easat-5272	12	35	dataset	dataset	VERB
easat-5272	12	36	by	by	ADP
easat-5272	12	37	freezing	freeze	VERB
easat-5272	12	38	lower	low	ADJ
easat-5272	12	39	convolutional	convolutional	ADJ
easat-5272	12	40	layers	layer	NOUN
easat-5272	12	41	and	and	CCONJ
easat-5272	12	42	adjusting	adjust	VERB
easat-5272	12	43	higher	high	ADJ
easat-5272	12	44	layers	layer	NOUN
easat-5272	12	45	.	.	PUNCT
easat-5272	13	1	experimental	experimental	ADJ
easat-5272	13	2	results	result	NOUN
easat-5272	13	3	demonstrate	demonstrate	VERB
easat-5272	13	4	that	that	SCONJ
easat-5272	13	5	the	the	DET
easat-5272	13	6	proposed	propose	VERB
easat-5272	13	7	method	method	NOUN
easat-5272	13	8	achieves	achieve	VERB
easat-5272	13	9	high	high	ADJ
easat-5272	13	10	classification	classification	NOUN
easat-5272	13	11	accuracy	accuracy	NOUN
easat-5272	13	12	and	and	CCONJ
easat-5272	13	13	fast	fast	ADJ
easat-5272	13	14	convergence	convergence	NOUN
easat-5272	13	15	in	in	ADP
easat-5272	13	16	small	small	ADJ
easat-5272	13	17	-	-	PUNCT
easat-5272	13	18	sample	sample	NOUN
easat-5272	13	19	scenarios	scenario	NOUN
easat-5272	13	20	.	.	PUNCT
easat-5272	14	1	this	this	DET
easat-5272	14	2	study	study	NOUN
easat-5272	14	3	validates	validate	VERB
easat-5272	14	4	the	the	DET
easat-5272	14	5	effectiveness	effectiveness	NOUN
easat-5272	14	6	of	of	ADP
easat-5272	14	7	transfer	transfer	NOUN
easat-5272	14	8	learning	learning	NOUN
easat-5272	14	9	in	in	ADP
easat-5272	14	10	elevator	elevator	NOUN
easat-5272	14	11	fault	fault	NOUN
easat-5272	14	12	diagnosis	diagnosis	NOUN
easat-5272	14	13	and	and	CCONJ
easat-5272	14	14	provides	provide	VERB
easat-5272	14	15	a	a	DET
easat-5272	14	16	practical	practical	ADJ
easat-5272	14	17	solution	solution	NOUN
easat-5272	14	18	for	for	ADP
easat-5272	14	19	realworld	realworld	PROPN
easat-5272	14	20	applications	application	NOUN
easat-5272	14	21	.	.	PUNCT
easat-5272	15	1	keywords	keyword	NOUN
easat-5272	15	2	:	:	PUNCT
easat-5272	15	3	elevator	elevator	NOUN
easat-5272	15	4	guideway	guideway	NOUN
easat-5272	15	5	,	,	PUNCT
easat-5272	15	6	empirical	empirical	ADJ
easat-5272	15	7	mode	mode	NOUN
easat-5272	15	8	decomposition	decomposition	NOUN
easat-5272	15	9	(	(	PUNCT
easat-5272	15	10	emd	emd	PROPN
easat-5272	15	11	)	)	PUNCT
easat-5272	15	12	,	,	PUNCT
easat-5272	15	13	fault	fault	VERB
easat-5272	15	14	diagnosis	diagnosis	NOUN
easat-5272	15	15	,	,	PUNCT
easat-5272	15	16	one	one	NUM
easat-5272	15	17	-	-	PUNCT
easat-5272	15	18	dimensional	dimensional	ADJ
easat-5272	15	19	convolutional	convolutional	ADJ
easat-5272	15	20	neural	neural	ADJ
easat-5272	15	21	network	network	NOUN
easat-5272	15	22	(	(	PUNCT
easat-5272	15	23	1d	1d	PROPN
easat-5272	15	24	-	-	PUNCT
easat-5272	15	25	cnn	cnn	NOUN
easat-5272	15	26	)	)	PUNCT
easat-5272	15	27	,	,	PUNCT
easat-5272	15	28	transfer	transfer	NOUN
easat-5272	15	29	learning	learning	NOUN
easat-5272	15	30	.	.	PUNCT
easat-5272	16	1	1	1	X
easat-5272	16	2	.	.	X
easat-5272	16	3	introduction	introduction	NOUN
easat-5272	16	4	elevator	elevator	NOUN
easat-5272	16	5	guideway	guideway	NOUN
easat-5272	16	6	is	be	AUX
easat-5272	16	7	essential	essential	ADJ
easat-5272	16	8	for	for	ADP
easat-5272	16	9	maintaining	maintain	VERB
easat-5272	16	10	the	the	DET
easat-5272	16	11	safety	safety	NOUN
easat-5272	16	12	and	and	CCONJ
easat-5272	16	13	stability	stability	NOUN
easat-5272	16	14	of	of	ADP
easat-5272	16	15	elevator	elevator	NOUN
easat-5272	16	16	operations	operation	NOUN
easat-5272	16	17	,	,	PUNCT
easat-5272	16	18	particularly	particularly	ADV
easat-5272	16	19	in	in	ADP
easat-5272	16	20	high	high	ADJ
easat-5272	16	21	-	-	PUNCT
easat-5272	16	22	rise	rise	NOUN
easat-5272	16	23	buildings	building	NOUN
easat-5272	16	24	.	.	PUNCT
easat-5272	17	1	over	over	ADP
easat-5272	17	2	time	time	NOUN
easat-5272	17	3	,	,	PUNCT
easat-5272	17	4	these	these	DET
easat-5272	17	5	components	component	NOUN
easat-5272	17	6	are	be	AUX
easat-5272	17	7	subjected	subject	VERB
easat-5272	17	8	to	to	ADP
easat-5272	17	9	faults	fault	NOUN
easat-5272	17	10	such	such	ADJ
easat-5272	17	11	as	as	ADP
easat-5272	17	12	bending	bend	VERB
easat-5272	17	13	,	,	PUNCT
easat-5272	17	14	misalignment	misalignment	NOUN
easat-5272	17	15	and	and	CCONJ
easat-5272	17	16	step	step	VERB
easat-5272	17	17	[	[	X
easat-5272	17	18	1	1	X
easat-5272	17	19	]	]	PUNCT
easat-5272	17	20	often	often	ADV
easat-5272	17	21	caused	cause	VERB
easat-5272	17	22	by	by	ADP
easat-5272	17	23	prolonged	prolonged	ADJ
easat-5272	17	24	operation	operation	NOUN
easat-5272	17	25	and	and	CCONJ
easat-5272	17	26	external	external	ADJ
easat-5272	17	27	environmental	environmental	ADJ
easat-5272	17	28	factors	factor	NOUN
easat-5272	17	29	.	.	PUNCT
easat-5272	18	1	these	these	DET
easat-5272	18	2	faults	fault	NOUN
easat-5272	18	3	can	can	AUX
easat-5272	18	4	result	result	VERB
easat-5272	18	5	in	in	ADP
easat-5272	18	6	abnormal	abnormal	ADJ
easat-5272	18	7	vibrations	vibration	NOUN
easat-5272	18	8	,	,	PUNCT
easat-5272	18	9	compromising	compromise	VERB
easat-5272	18	10	the	the	DET
easat-5272	18	11	safety	safety	NOUN
easat-5272	18	12	and	and	CCONJ
easat-5272	18	13	reliability	reliability	NOUN
easat-5272	18	14	of	of	ADP
easat-5272	18	15	the	the	DET
easat-5272	18	16	elevator	elevator	NOUN
easat-5272	18	17	system	system	NOUN
easat-5272	18	18	[	[	X
easat-5272	18	19	2	2	NUM
easat-5272	18	20	]	]	PUNCT
easat-5272	18	21	.	.	PUNCT
easat-5272	19	1	early	early	ADJ
easat-5272	19	2	and	and	CCONJ
easat-5272	19	3	accurate	accurate	ADJ
easat-5272	19	4	diagnosis	diagnosis	NOUN
easat-5272	19	5	of	of	ADP
easat-5272	19	6	such	such	ADJ
easat-5272	19	7	faults	fault	NOUN
easat-5272	19	8	is	be	AUX
easat-5272	19	9	essential	essential	ADJ
easat-5272	19	10	for	for	ADP
easat-5272	19	11	timely	timely	ADJ
easat-5272	19	12	maintenance	maintenance	NOUN
easat-5272	19	13	and	and	CCONJ
easat-5272	19	14	failure	failure	NOUN
easat-5272	19	15	prevention	prevention	NOUN
easat-5272	19	16	.	.	PUNCT
easat-5272	20	1	commonly	commonly	ADV
easat-5272	20	2	used	use	VERB
easat-5272	20	3	fault	fault	NOUN
easat-5272	20	4	diagnosis	diagnosis	NOUN
easat-5272	20	5	methods	method	NOUN
easat-5272	20	6	usually	usually	ADV
easat-5272	20	7	depend	depend	VERB
easat-5272	20	8	on	on	ADP
easat-5272	20	9	manual	manual	ADJ
easat-5272	20	10	feature	feature	NOUN
easat-5272	20	11	extraction	extraction	NOUN
easat-5272	20	12	and	and	CCONJ
easat-5272	20	13	classical	classical	ADJ
easat-5272	20	14	machine	machine	NOUN
easat-5272	20	15	learning	learning	NOUN
easat-5272	20	16	approaches	approach	VERB
easat-5272	20	17	[	[	X
easat-5272	20	18	3	3	NUM
easat-5272	20	19	]	]	PUNCT
easat-5272	20	20	.	.	PUNCT
easat-5272	21	1	while	while	SCONJ
easat-5272	21	2	effective	effective	ADJ
easat-5272	21	3	in	in	ADP
easat-5272	21	4	specific	specific	ADJ
easat-5272	21	5	scenarios	scenario	NOUN
easat-5272	21	6	,	,	PUNCT
easat-5272	21	7	these	these	DET
easat-5272	21	8	approaches	approach	NOUN
easat-5272	21	9	are	be	AUX
easat-5272	21	10	limited	limit	VERB
easat-5272	21	11	in	in	ADP
easat-5272	21	12	their	their	PRON
easat-5272	21	13	ability	ability	NOUN
easat-5272	21	14	to	to	PART
easat-5272	21	15	process	process	VERB
easat-5272	21	16	the	the	DET
easat-5272	21	17	non	non	ADJ
easat-5272	21	18	-	-	ADJ
easat-5272	21	19	stationary	stationary	ADJ
easat-5272	21	20	and	and	CCONJ
easat-5272	21	21	complex	complex	ADJ
easat-5272	21	22	nature	nature	NOUN
easat-5272	21	23	of	of	ADP
easat-5272	21	24	vibration	vibration	NOUN
easat-5272	21	25	signals	signal	NOUN
easat-5272	21	26	in	in	ADP
easat-5272	21	27	real	real	ADJ
easat-5272	21	28	-	-	PUNCT
easat-5272	21	29	world	world	NOUN
easat-5272	21	30	applications	application	NOUN
easat-5272	21	31	.	.	PUNCT
easat-5272	22	1	recent	recent	ADJ
easat-5272	22	2	advancements	advancement	NOUN
easat-5272	22	3	in	in	ADP
easat-5272	22	4	deep	deep	ADJ
easat-5272	22	5	learning	learning	NOUN
easat-5272	22	6	have	have	AUX
easat-5272	22	7	introduced	introduce	VERB
easat-5272	22	8	effective	effective	ADJ
easat-5272	22	9	approaches	approach	NOUN
easat-5272	22	10	that	that	PRON
easat-5272	22	11	automatically	automatically	ADV
easat-5272	22	12	extract	extract	VERB
easat-5272	22	13	features	feature	NOUN
easat-5272	22	14	from	from	ADP
easat-5272	22	15	on	on	ADP
easat-5272	22	16	-	-	PUNCT
easat-5272	22	17	site	site	NOUN
easat-5272	22	18	raw	raw	ADJ
easat-5272	22	19	data	datum	NOUN
easat-5272	22	20	,	,	PUNCT
easat-5272	22	21	outperforming	outperform	VERB
easat-5272	22	22	traditional	traditional	ADJ
easat-5272	22	23	methods	method	NOUN
easat-5272	22	24	.	.	PUNCT
easat-5272	23	1	however	however	ADV
easat-5272	23	2	,	,	PUNCT
easat-5272	23	3	the	the	DET
easat-5272	23	4	effectiveness	effectiveness	NOUN
easat-5272	23	5	of	of	ADP
easat-5272	23	6	deep	deep	ADJ
easat-5272	23	7	learning	learning	NOUN
easat-5272	23	8	algorithms	algorithm	NOUN
easat-5272	23	9	typically	typically	ADV
easat-5272	23	10	depends	depend	VERB
easat-5272	23	11	on	on	ADP
easat-5272	23	12	large	large	ADJ
easat-5272	23	13	labeled	label	VERB
easat-5272	23	14	datasets	dataset	NOUN
easat-5272	23	15	,	,	PUNCT
easat-5272	23	16	which	which	PRON
easat-5272	23	17	are	be	AUX
easat-5272	23	18	often	often	ADV
easat-5272	23	19	unavailable	unavailable	ADJ
easat-5272	23	20	in	in	ADP
easat-5272	23	21	practical	practical	ADJ
easat-5272	23	22	scenarios	scenario	NOUN
easat-5272	23	23	such	such	ADJ
easat-5272	23	24	as	as	ADP
easat-5272	23	25	elevator	elevator	NOUN
easat-5272	23	26	guideway	guideway	NOUN
easat-5272	23	27	fault	fault	NOUN
easat-5272	23	28	diagnosis	diagnosis	NOUN
easat-5272	23	29	[	[	X
easat-5272	23	30	4].to	4].to	NOUN
easat-5272	23	31	overcome	overcome	VERB
easat-5272	23	32	these	these	DET
easat-5272	23	33	challenges	challenge	NOUN
easat-5272	23	34	,	,	PUNCT
easat-5272	23	35	transfer	transfer	NOUN
easat-5272	23	36	learning	learning	NOUN
easat-5272	23	37	provides	provide	VERB
easat-5272	23	38	an	an	DET
easat-5272	23	39	effective	effective	ADJ
easat-5272	23	40	approach	approach	NOUN
easat-5272	23	41	by	by	ADP
easat-5272	23	42	utilizing	utilize	VERB
easat-5272	23	43	knowledge	knowledge	NOUN
easat-5272	23	44	from	from	ADP
easat-5272	23	45	relevant	relevant	ADJ
easat-5272	23	46	source	source	NOUN
easat-5272	23	47	domain	domain	NOUN
easat-5272	23	48	to	to	PART
easat-5272	23	49	optimize	optimize	VERB
easat-5272	23	50	effectiveness	effectiveness	NOUN
easat-5272	23	51	in	in	ADP
easat-5272	23	52	the	the	DET
easat-5272	23	53	target	target	NOUN
easat-5272	23	54	domain	domain	NOUN
easat-5272	23	55	with	with	ADP
easat-5272	23	56	insufficient	insufficient	ADJ
easat-5272	23	57	data	datum	NOUN
easat-5272	23	58	[	[	X
easat-5272	23	59	5	5	NUM
easat-5272	23	60	]	]	PUNCT
easat-5272	23	61	.	.	PUNCT
easat-5272	24	1	in	in	ADP
easat-5272	24	2	this	this	DET
easat-5272	24	3	study	study	NOUN
easat-5272	24	4	,	,	PUNCT
easat-5272	24	5	a	a	DET
easat-5272	24	6	method	method	NOUN
easat-5272	24	7	(	(	PUNCT
easat-5272	24	8	tl	tl	PROPN
easat-5272	24	9	-	-	PUNCT
easat-5272	24	10	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	24	11	)	)	PUNCT
easat-5272	24	12	combining	combine	VERB
easat-5272	24	13	multi	multi	NOUN
easat-5272	24	14	-	-	NOUN
easat-5272	24	15	channel	channel	ADJ
easat-5272	24	16	(	(	PUNCT
easat-5272	24	17	mc	mc	PROPN
easat-5272	24	18	)	)	PUNCT
easat-5272	24	19	one	one	NUM
easat-5272	24	20	-	-	PUNCT
easat-5272	24	21	dimensional	dimensional	ADJ
easat-5272	24	22	convolutional	convolutional	ADJ
easat-5272	24	23	neural	neural	ADJ
easat-5272	24	24	networks	network	NOUN
easat-5272	24	25	(	(	PUNCT
easat-5272	24	26	1d	1d	NOUN
easat-5272	24	27	-	-	PUNCT
easat-5272	24	28	cnn	cnn	NOUN
easat-5272	24	29	)	)	PUNCT
easat-5272	24	30	with	with	ADP
easat-5272	24	31	transfer	transfer	NOUN
easat-5272	24	32	learning	learning	NOUN
easat-5272	24	33	(	(	PUNCT
easat-5272	24	34	tl	tl	PROPN
easat-5272	24	35	)	)	PUNCT
easat-5272	24	36	is	be	AUX
easat-5272	24	37	constructed	construct	VERB
easat-5272	24	38	for	for	ADP
easat-5272	24	39	fault	fault	NOUN
easat-5272	24	40	diagnosis	diagnosis	NOUN
easat-5272	24	41	of	of	ADP
easat-5272	24	42	elevator	elevator	NOUN
easat-5272	24	43	guideway	guideway	NOUN
easat-5272	24	44	.	.	PUNCT
easat-5272	25	1	the	the	DET
easat-5272	25	2	proposed	propose	VERB
easat-5272	25	3	method	method	NOUN
easat-5272	25	4	based	base	VERB
easat-5272	25	5	on	on	ADP
easat-5272	25	6	the	the	DET
easat-5272	25	7	advantages	advantage	NOUN
easat-5272	25	8	of	of	ADP
easat-5272	25	9	1d	1d	NUM
easat-5272	25	10	-	-	PUNCT
easat-5272	25	11	cnn	cnn	PROPN
easat-5272	25	12	's	's	PART
easat-5272	25	13	processing	processing	NOUN
easat-5272	25	14	634	634	NUM
easat-5272	25	15	edelweiss	edelweiss	PROPN
easat-5272	25	16	applied	apply	VERB
easat-5272	25	17	science	science	NOUN
easat-5272	25	18	and	and	CCONJ
easat-5272	25	19	technology	technology	NOUN
easat-5272	25	20	issn	issn	PROPN
easat-5272	25	21	:	:	PUNCT
easat-5272	25	22	2576	2576	NUM
easat-5272	25	23	-	-	SYM
easat-5272	25	24	8484	8484	NUM
easat-5272	25	25	vol	vol	NOUN
easat-5272	25	26	.	.	PROPN
easat-5272	26	1	9	9	NUM
easat-5272	26	2	,	,	PUNCT
easat-5272	26	3	no	no	INTJ
easat-5272	26	4	.	.	NOUN
easat-5272	27	1	3	3	NUM
easat-5272	27	2	:	:	PUNCT
easat-5272	27	3	633	633	NUM
easat-5272	27	4	-	-	SYM
easat-5272	27	5	650	650	NUM
easat-5272	27	6	,	,	PUNCT
easat-5272	27	7	2025	2025	NUM
easat-5272	27	8	doi	doi	NOUN
easat-5272	27	9	:	:	PUNCT
easat-5272	27	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	27	11	©	©	PROPN
easat-5272	27	12	2025	2025	NUM
easat-5272	27	13	by	by	ADP
easat-5272	27	14	the	the	DET
easat-5272	27	15	authors	author	NOUN
easat-5272	27	16	;	;	PUNCT
easat-5272	27	17	licensee	licensee	NOUN
easat-5272	27	18	learning	learn	VERB
easat-5272	27	19	gate	gate	NOUN
easat-5272	27	20	of	of	ADP
easat-5272	27	21	one	one	NUM
easat-5272	27	22	-	-	PUNCT
easat-5272	27	23	dimensional	dimensional	ADJ
easat-5272	27	24	time	time	NOUN
easat-5272	27	25	series	series	NOUN
easat-5272	27	26	signals	signal	VERB
easat-5272	27	27	[	[	X
easat-5272	27	28	6	6	NUM
easat-5272	27	29	]	]	PUNCT
easat-5272	27	30	and	and	CCONJ
easat-5272	27	31	employs	employ	VERB
easat-5272	27	32	empirical	empirical	ADJ
easat-5272	27	33	mode	mode	NOUN
easat-5272	27	34	decomposition	decomposition	NOUN
easat-5272	27	35	(	(	PUNCT
easat-5272	27	36	emd	emd	PROPN
easat-5272	27	37	)	)	PUNCT
easat-5272	27	38	to	to	PART
easat-5272	27	39	preprocess	preprocess	NOUN
easat-5272	27	40	vibration	vibration	NOUN
easat-5272	27	41	signals	signal	NOUN
easat-5272	27	42	into	into	ADP
easat-5272	27	43	multiple	multiple	ADJ
easat-5272	27	44	intrinsic	intrinsic	ADJ
easat-5272	27	45	mode	mode	NOUN
easat-5272	27	46	functions	function	NOUN
easat-5272	27	47	(	(	PUNCT
easat-5272	27	48	imfs	imfs	NOUN
easat-5272	27	49	)	)	PUNCT
easat-5272	28	1	[	[	X
easat-5272	28	2	7	7	X
easat-5272	28	3	]	]	X
easat-5272	28	4	serving	serve	VERB
easat-5272	28	5	as	as	ADP
easat-5272	28	6	multi	multi	ADJ
easat-5272	28	7	-	-	ADJ
easat-5272	28	8	channel	channel	ADJ
easat-5272	28	9	inputs	input	NOUN
easat-5272	28	10	for	for	ADP
easat-5272	28	11	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	28	12	.	.	PUNCT
easat-5272	29	1	the	the	DET
easat-5272	29	2	model	model	NOUN
easat-5272	29	3	is	be	AUX
easat-5272	29	4	pre	pre	ADJ
easat-5272	29	5	-	-	VERB
easat-5272	29	6	trained	train	VERB
easat-5272	29	7	on	on	ADP
easat-5272	29	8	the	the	DET
easat-5272	29	9	case	case	NOUN
easat-5272	29	10	western	western	PROPN
easat-5272	29	11	reserve	reserve	PROPN
easat-5272	29	12	university	university	PROPN
easat-5272	29	13	(	(	PUNCT
easat-5272	29	14	cwru	cwru	PROPN
easat-5272	29	15	)	)	PUNCT
easat-5272	29	16	bearing	bear	VERB
easat-5272	29	17	fault	fault	NOUN
easat-5272	29	18	dataset	dataset	VERB
easat-5272	29	19	[	[	X
easat-5272	29	20	8	8	NUM
easat-5272	29	21	]	]	PUNCT
easat-5272	29	22	to	to	PART
easat-5272	29	23	extract	extract	VERB
easat-5272	29	24	generalized	generalized	ADJ
easat-5272	29	25	fault	fault	NOUN
easat-5272	29	26	features	feature	NOUN
easat-5272	29	27	and	and	CCONJ
easat-5272	29	28	fine	fine	ADV
easat-5272	29	29	-	-	PUNCT
easat-5272	29	30	tuned	tune	VERB
easat-5272	29	31	on	on	ADP
easat-5272	29	32	the	the	DET
easat-5272	29	33	elevator	elevator	NOUN
easat-5272	29	34	guideway	guideway	NOUN
easat-5272	29	35	dataset	dataset	VERB
easat-5272	29	36	to	to	PART
easat-5272	29	37	enhance	enhance	VERB
easat-5272	29	38	fault	fault	VERB
easat-5272	29	39	classification	classification	NOUN
easat-5272	29	40	accuracy	accuracy	NOUN
easat-5272	29	41	under	under	ADP
easat-5272	29	42	limited	limited	ADJ
easat-5272	29	43	sample	sample	NOUN
easat-5272	29	44	conditions	condition	NOUN
easat-5272	29	45	.	.	PUNCT
easat-5272	30	1	the	the	DET
easat-5272	30	2	contributions	contribution	NOUN
easat-5272	30	3	of	of	ADP
easat-5272	30	4	this	this	DET
easat-5272	30	5	research	research	NOUN
easat-5272	30	6	include	include	VERB
easat-5272	30	7	:	:	PUNCT
easat-5272	30	8	the	the	DET
easat-5272	30	9	integration	integration	NOUN
easat-5272	30	10	of	of	ADP
easat-5272	30	11	emd	emd	PROPN
easat-5272	30	12	with	with	ADP
easat-5272	30	13	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	30	14	for	for	ADP
easat-5272	30	15	multi	multi	ADJ
easat-5272	30	16	-	-	ADJ
easat-5272	30	17	scale	scale	ADJ
easat-5272	30	18	fault	fault	NOUN
easat-5272	30	19	feature	feature	NOUN
easat-5272	30	20	extraction	extraction	NOUN
easat-5272	30	21	and	and	CCONJ
easat-5272	30	22	classification	classification	NOUN
easat-5272	30	23	.	.	PUNCT
easat-5272	31	1	the	the	DET
easat-5272	31	2	application	application	NOUN
easat-5272	31	3	of	of	ADP
easat-5272	31	4	transfer	transfer	NOUN
easat-5272	31	5	learning	learn	VERB
easat-5272	31	6	to	to	PART
easat-5272	31	7	adapt	adapt	VERB
easat-5272	31	8	pre	pre	ADJ
easat-5272	31	9	-	-	ADJ
easat-5272	31	10	trained	train	VERB
easat-5272	31	11	models	model	NOUN
easat-5272	31	12	from	from	ADP
easat-5272	31	13	the	the	DET
easat-5272	31	14	cwru	cwru	NOUN
easat-5272	31	15	dataset	dataset	VERB
easat-5272	31	16	to	to	ADP
easat-5272	31	17	the	the	DET
easat-5272	31	18	elevator	elevator	NOUN
easat-5272	31	19	guideway	guideway	NOUN
easat-5272	31	20	dataset	dataset	NOUN
easat-5272	31	21	.	.	PUNCT
easat-5272	32	1	experimental	experimental	ADJ
easat-5272	32	2	validation	validation	NOUN
easat-5272	32	3	demonstrating	demonstrate	VERB
easat-5272	32	4	the	the	DET
easat-5272	32	5	proposed	propose	VERB
easat-5272	32	6	method	method	NOUN
easat-5272	32	7	’s	’s	PART
easat-5272	32	8	effectiveness	effectiveness	NOUN
easat-5272	32	9	in	in	ADP
easat-5272	32	10	achieving	achieve	VERB
easat-5272	32	11	high	high	ADJ
easat-5272	32	12	fault	fault	NOUN
easat-5272	32	13	classification	classification	NOUN
easat-5272	32	14	accuracy	accuracy	NOUN
easat-5272	32	15	and	and	CCONJ
easat-5272	32	16	efficient	efficient	ADJ
easat-5272	32	17	convergence	convergence	NOUN
easat-5272	32	18	.	.	PUNCT
easat-5272	33	1	2	2	NUM
easat-5272	33	2	related	related	ADJ
easat-5272	33	3	work	work	NOUN
easat-5272	33	4	2.1	2.1	NUM
easat-5272	33	5	.	.	PUNCT
easat-5272	34	1	current	current	ADJ
easat-5272	34	2	status	status	NOUN
easat-5272	34	3	of	of	ADP
easat-5272	34	4	elevator	elevator	NOUN
easat-5272	34	5	fault	fault	NOUN
easat-5272	34	6	diagnosis	diagnosis	NOUN
easat-5272	34	7	as	as	SCONJ
easat-5272	34	8	elevators	elevator	NOUN
easat-5272	34	9	become	become	VERB
easat-5272	34	10	increasingly	increasingly	ADV
easat-5272	34	11	prevalent	prevalent	ADJ
easat-5272	34	12	in	in	ADP
easat-5272	34	13	modern	modern	ADJ
easat-5272	34	14	buildings	building	NOUN
easat-5272	34	15	,	,	PUNCT
easat-5272	34	16	their	their	PRON
easat-5272	34	17	safety	safety	NOUN
easat-5272	34	18	and	and	CCONJ
easat-5272	34	19	stability	stability	NOUN
easat-5272	34	20	have	have	AUX
easat-5272	34	21	garnered	garner	VERB
easat-5272	34	22	significant	significant	ADJ
easat-5272	34	23	attention	attention	NOUN
easat-5272	34	24	,	,	PUNCT
easat-5272	34	25	making	make	VERB
easat-5272	34	26	fault	fault	VERB
easat-5272	34	27	diagnosis	diagnosis	NOUN
easat-5272	34	28	technologies	technology	NOUN
easat-5272	34	29	for	for	ADP
easat-5272	34	30	elevators	elevator	NOUN
easat-5272	34	31	a	a	DET
easat-5272	34	32	long	long	ADV
easat-5272	34	33	-	-	PUNCT
easat-5272	34	34	standing	stand	VERB
easat-5272	34	35	focus	focus	NOUN
easat-5272	34	36	of	of	ADP
easat-5272	34	37	research	research	NOUN
easat-5272	34	38	.	.	PUNCT
easat-5272	35	1	these	these	DET
easat-5272	35	2	methods	method	NOUN
easat-5272	35	3	primarily	primarily	ADV
easat-5272	35	4	analyze	analyze	VERB
easat-5272	35	5	the	the	DET
easat-5272	35	6	time	time	NOUN
easat-5272	35	7	-	-	PUNCT
easat-5272	35	8	frequency	frequency	NOUN
easat-5272	35	9	domain	domain	NOUN
easat-5272	35	10	of	of	ADP
easat-5272	35	11	elevator	elevator	NOUN
easat-5272	35	12	vibration	vibration	NOUN
easat-5272	35	13	signals	signal	NOUN
easat-5272	35	14	to	to	PART
easat-5272	35	15	extract	extract	VERB
easat-5272	35	16	fault	fault	NOUN
easat-5272	35	17	features	feature	VERB
easat-5272	35	18	[	[	X
easat-5272	35	19	9	9	NUM
easat-5272	35	20	]	]	PUNCT
easat-5272	35	21	.	.	PUNCT
easat-5272	36	1	for	for	ADP
easat-5272	36	2	instance	instance	NOUN
easat-5272	36	3	,	,	PUNCT
easat-5272	36	4	qiu	qiu	PROPN
easat-5272	36	5	,	,	PUNCT
easat-5272	36	6	et	et	PROPN
easat-5272	36	7	al	al	PROPN
easat-5272	36	8	.	.	PUNCT
easat-5272	37	1	[	[	X
easat-5272	37	2	10	10	NUM
easat-5272	37	3	]	]	PUNCT
easat-5272	37	4	by	by	ADP
easat-5272	37	5	feature	feature	NOUN
easat-5272	37	6	extraction	extraction	NOUN
easat-5272	37	7	of	of	ADP
easat-5272	37	8	elevator	elevator	NOUN
easat-5272	37	9	vibration	vibration	NOUN
easat-5272	37	10	signals	signal	NOUN
easat-5272	37	11	,	,	PUNCT
easat-5272	37	12	realized	realize	VERB
easat-5272	37	13	the	the	DET
easat-5272	37	14	identification	identification	NOUN
easat-5272	37	15	of	of	ADP
easat-5272	37	16	elevator	elevator	NOUN
easat-5272	37	17	fault	fault	NOUN
easat-5272	37	18	states	state	NOUN
easat-5272	37	19	based	base	VERB
easat-5272	37	20	on	on	ADP
easat-5272	37	21	an	an	DET
easat-5272	37	22	enhanced	enhanced	ADJ
easat-5272	37	23	aquila	aquila	ADJ
easat-5272	37	24	optimizer	optimizer	NOUN
easat-5272	37	25	(	(	PUNCT
easat-5272	37	26	iao	iao	NOUN
easat-5272	37	27	)	)	PUNCT
easat-5272	37	28	combined	combine	VERB
easat-5272	37	29	with	with	ADP
easat-5272	37	30	extreme	extreme	ADJ
easat-5272	37	31	gradient	gradient	NOUN
easat-5272	37	32	boosting	boost	VERB
easat-5272	37	33	tree	tree	NOUN
easat-5272	37	34	(	(	PUNCT
easat-5272	37	35	xgboost	xgboost	ADJ
easat-5272	37	36	)	)	PUNCT
easat-5272	37	37	method	method	NOUN
easat-5272	37	38	.	.	PUNCT
easat-5272	38	1	liu	liu	PROPN
easat-5272	38	2	,	,	PUNCT
easat-5272	38	3	et	et	PROPN
easat-5272	38	4	al	al	PROPN
easat-5272	38	5	.	.	PUNCT
easat-5272	39	1	[	[	X
easat-5272	39	2	11	11	NUM
easat-5272	39	3	]	]	PUNCT
easat-5272	39	4	realized	realize	VERB
easat-5272	39	5	elevator	elevator	NOUN
easat-5272	39	6	traction	traction	NOUN
easat-5272	39	7	machine	machine	NOUN
easat-5272	39	8	fault	fault	NOUN
easat-5272	39	9	diagnosis	diagnosis	NOUN
easat-5272	39	10	using	use	VERB
easat-5272	39	11	an	an	DET
easat-5272	39	12	enhanced	enhance	VERB
easat-5272	39	13	complementary	complementary	ADJ
easat-5272	39	14	ensemble	ensemble	ADJ
easat-5272	39	15	empirical	empirical	ADJ
easat-5272	39	16	mode	mode	NOUN
easat-5272	39	17	decomposition	decomposition	NOUN
easat-5272	39	18	method	method	NOUN
easat-5272	39	19	combined	combine	VERB
easat-5272	39	20	with	with	ADP
easat-5272	39	21	a	a	DET
easat-5272	39	22	support	support	NOUN
easat-5272	39	23	vector	vector	NOUN
easat-5272	39	24	machine	machine	NOUN
easat-5272	39	25	(	(	PUNCT
easat-5272	39	26	svm	svm	ADJ
easat-5272	39	27	)	)	PUNCT
easat-5272	39	28	algorithm	algorithm	NOUN
easat-5272	39	29	.	.	PUNCT
easat-5272	40	1	song	song	PROPN
easat-5272	40	2	,	,	PUNCT
easat-5272	40	3	et	et	PROPN
easat-5272	40	4	al	al	PROPN
easat-5272	40	5	.	.	PUNCT
easat-5272	41	1	[	[	X
easat-5272	41	2	12	12	NUM
easat-5272	41	3	]	]	PUNCT
easat-5272	41	4	developed	develop	VERB
easat-5272	41	5	an	an	DET
easat-5272	41	6	innovative	innovative	ADJ
easat-5272	41	7	method	method	NOUN
easat-5272	41	8	for	for	ADP
easat-5272	41	9	diagnosing	diagnose	VERB
easat-5272	41	10	faults	fault	NOUN
easat-5272	41	11	in	in	ADP
easat-5272	41	12	elevator	elevator	NOUN
easat-5272	41	13	control	control	NOUN
easat-5272	41	14	transformers	transformer	NOUN
easat-5272	41	15	by	by	ADP
easat-5272	41	16	integrating	integrate	VERB
easat-5272	41	17	empirical	empirical	ADJ
easat-5272	41	18	mode	mode	NOUN
easat-5272	41	19	decomposition	decomposition	NOUN
easat-5272	41	20	(	(	PUNCT
easat-5272	41	21	emd	emd	PROPN
easat-5272	41	22	)	)	PUNCT
easat-5272	41	23	,	,	PUNCT
easat-5272	41	24	empirical	empirical	ADJ
easat-5272	41	25	wavelet	wavelet	NOUN
easat-5272	41	26	packet	packet	NOUN
easat-5272	41	27	transform	transform	NOUN
easat-5272	41	28	,	,	PUNCT
easat-5272	41	29	mental	mental	ADJ
easat-5272	41	30	evolutionary	evolutionary	ADJ
easat-5272	41	31	algorithm	algorithm	NOUN
easat-5272	41	32	(	(	PUNCT
easat-5272	41	33	mea	mea	NOUN
easat-5272	41	34	)	)	PUNCT
easat-5272	41	35	,	,	PUNCT
easat-5272	41	36	and	and	CCONJ
easat-5272	41	37	back	back	NOUN
easat-5272	41	38	propagation	propagation	NOUN
easat-5272	41	39	neural	neural	ADJ
easat-5272	41	40	network	network	NOUN
easat-5272	41	41	.	.	PUNCT
easat-5272	42	1	deep	deep	ADJ
easat-5272	42	2	learning	learning	NOUN
easat-5272	42	3	has	have	AUX
easat-5272	42	4	become	become	VERB
easat-5272	42	5	a	a	DET
easat-5272	42	6	robust	robust	ADJ
easat-5272	42	7	tool	tool	NOUN
easat-5272	42	8	for	for	ADP
easat-5272	42	9	fault	fault	NOUN
easat-5272	42	10	diagnosis	diagnosis	NOUN
easat-5272	42	11	due	due	ADP
easat-5272	42	12	to	to	ADP
easat-5272	42	13	its	its	PRON
easat-5272	42	14	ability	ability	NOUN
easat-5272	42	15	to	to	PART
easat-5272	42	16	automatically	automatically	ADV
easat-5272	42	17	extract	extract	VERB
easat-5272	42	18	features	feature	NOUN
easat-5272	42	19	and	and	CCONJ
easat-5272	42	20	recognize	recognize	VERB
easat-5272	42	21	patterns	pattern	NOUN
easat-5272	42	22	from	from	ADP
easat-5272	42	23	raw	raw	ADJ
easat-5272	42	24	data	datum	NOUN
easat-5272	42	25	,	,	PUNCT
easat-5272	42	26	avoiding	avoid	VERB
easat-5272	42	27	the	the	DET
easat-5272	42	28	complexity	complexity	NOUN
easat-5272	42	29	and	and	CCONJ
easat-5272	42	30	uncertainty	uncertainty	NOUN
easat-5272	42	31	of	of	ADP
easat-5272	42	32	manual	manual	ADJ
easat-5272	42	33	feature	feature	NOUN
easat-5272	42	34	extraction	extraction	NOUN
easat-5272	42	35	,	,	PUNCT
easat-5272	42	36	and	and	CCONJ
easat-5272	42	37	offering	offer	VERB
easat-5272	42	38	improved	improve	VERB
easat-5272	42	39	scalability	scalability	NOUN
easat-5272	42	40	and	and	CCONJ
easat-5272	42	41	adaptability	adaptability	NOUN
easat-5272	42	42	[	[	X
easat-5272	42	43	13	13	NUM
easat-5272	42	44	]	]	PUNCT
easat-5272	42	45	.	.	PUNCT
easat-5272	43	1	for	for	ADP
easat-5272	43	2	example	example	NOUN
easat-5272	43	3	,	,	PUNCT
easat-5272	43	4	surendran	surendran	NOUN
easat-5272	43	5	,	,	PUNCT
easat-5272	43	6	et	et	PROPN
easat-5272	43	7	al	al	PROPN
easat-5272	43	8	.	.	PUNCT
easat-5272	44	1	[	[	X
easat-5272	44	2	14	14	NUM
easat-5272	44	3	]	]	PUNCT
easat-5272	44	4	developed	develop	VERB
easat-5272	44	5	an	an	DET
easat-5272	44	6	intelligent	intelligent	ADJ
easat-5272	44	7	industrial	industrial	ADJ
easat-5272	44	8	fault	fault	NOUN
easat-5272	44	9	diagnosis	diagnosis	NOUN
easat-5272	44	10	approach	approach	NOUN
easat-5272	44	11	utilizing	utilize	VERB
easat-5272	44	12	a	a	DET
easat-5272	44	13	sailfish	sailfish	NOUN
easat-5272	44	14	algorithmoptimized	algorithmoptimize	VERB
easat-5272	44	15	inception	inception	NOUN
easat-5272	44	16	model	model	NOUN
easat-5272	44	17	integrated	integrate	VERB
easat-5272	44	18	with	with	ADP
easat-5272	44	19	a	a	DET
easat-5272	44	20	residual	residual	ADJ
easat-5272	44	21	network	network	NOUN
easat-5272	44	22	to	to	PART
easat-5272	44	23	identify	identify	VERB
easat-5272	44	24	faults	fault	NOUN
easat-5272	44	25	in	in	ADP
easat-5272	44	26	rotating	rotate	VERB
easat-5272	44	27	machinery	machinery	NOUN
easat-5272	44	28	,	,	PUNCT
easat-5272	44	29	and	and	CCONJ
easat-5272	44	30	zhou	zhou	PROPN
easat-5272	44	31	,	,	PUNCT
easat-5272	44	32	et	et	PROPN
easat-5272	44	33	al	al	PROPN
easat-5272	44	34	.	.	PUNCT
easat-5272	45	1	[	[	X
easat-5272	45	2	15	15	NUM
easat-5272	45	3	]	]	PUNCT
easat-5272	45	4	introduced	introduce	VERB
easat-5272	45	5	a	a	DET
easat-5272	45	6	deep	deep	ADJ
easat-5272	45	7	learning	learning	NOUN
easat-5272	45	8	-	-	PUNCT
easat-5272	45	9	based	base	VERB
easat-5272	45	10	fault	fault	NOUN
easat-5272	45	11	diagnosis	diagnosis	NOUN
easat-5272	45	12	approach	approach	NOUN
easat-5272	45	13	leveraging	leverage	VERB
easat-5272	45	14	globally	globally	ADV
easat-5272	45	15	optimized	optimize	VERB
easat-5272	45	16	gan	gan	NOUN
easat-5272	45	17	to	to	PART
easat-5272	45	18	deal	deal	VERB
easat-5272	45	19	with	with	ADP
easat-5272	45	20	the	the	DET
easat-5272	45	21	unbalanced	unbalanced	ADJ
easat-5272	45	22	fault	fault	NOUN
easat-5272	45	23	data	datum	NOUN
easat-5272	45	24	.	.	PUNCT
easat-5272	46	1	within	within	ADP
easat-5272	46	2	the	the	DET
easat-5272	46	3	domain	domain	NOUN
easat-5272	46	4	of	of	ADP
easat-5272	46	5	elevator	elevator	NOUN
easat-5272	46	6	fault	fault	NOUN
easat-5272	46	7	diagnosis	diagnosis	NOUN
easat-5272	46	8	,	,	PUNCT
easat-5272	46	9	chai	chai	NOUN
easat-5272	46	10	,	,	PUNCT
easat-5272	46	11	et	et	PROPN
easat-5272	46	12	al	al	PROPN
easat-5272	46	13	.	.	PUNCT
easat-5272	47	1	[	[	X
easat-5272	47	2	16	16	NUM
easat-5272	47	3	]	]	PUNCT
easat-5272	47	4	detect	detect	VERB
easat-5272	47	5	the	the	DET
easat-5272	47	6	anomalies	anomaly	NOUN
easat-5272	47	7	of	of	ADP
easat-5272	47	8	elevator	elevator	NOUN
easat-5272	47	9	by	by	ADP
easat-5272	47	10	utilizes	utilize	VERB
easat-5272	47	11	a	a	DET
easat-5272	47	12	deep	deep	ADJ
easat-5272	47	13	learning	learning	NOUN
easat-5272	47	14	algorithm	algorithm	NOUN
easat-5272	47	15	to	to	PART
easat-5272	47	16	analyze	analyze	VERB
easat-5272	47	17	the	the	DET
easat-5272	47	18	current	current	ADJ
easat-5272	47	19	signals	signal	NOUN
easat-5272	47	20	from	from	ADP
easat-5272	47	21	key	key	ADJ
easat-5272	47	22	circuits	circuit	NOUN
easat-5272	47	23	.	.	PUNCT
easat-5272	48	1	chae	chae	NOUN
easat-5272	48	2	,	,	PUNCT
easat-5272	48	3	et	et	PROPN
easat-5272	48	4	al	al	PROPN
easat-5272	48	5	.	.	PUNCT
easat-5272	49	1	[	[	X
easat-5272	49	2	17	17	NUM
easat-5272	49	3	]	]	PUNCT
easat-5272	49	4	use	use	NOUN
easat-5272	49	5	the	the	DET
easat-5272	49	6	autoencoder	autoencoder	NOUN
easat-5272	49	7	convert	convert	VERB
easat-5272	49	8	control	control	NOUN
easat-5272	49	9	state	state	NOUN
easat-5272	49	10	data	datum	NOUN
easat-5272	49	11	for	for	ADP
easat-5272	49	12	elevator	elevator	NOUN
easat-5272	49	13	doors	door	NOUN
easat-5272	49	14	fault	fault	VERB
easat-5272	49	15	diagnosis	diagnosis	NOUN
easat-5272	49	16	.	.	PUNCT
easat-5272	50	1	despite	despite	SCONJ
easat-5272	50	2	these	these	DET
easat-5272	50	3	advances	advance	NOUN
easat-5272	50	4	,	,	PUNCT
easat-5272	50	5	the	the	DET
easat-5272	50	6	outcome	outcome	NOUN
easat-5272	50	7	of	of	ADP
easat-5272	50	8	deep	deep	ADJ
easat-5272	50	9	learning	learning	NOUN
easat-5272	50	10	algorithms	algorithm	NOUN
easat-5272	50	11	is	be	AUX
easat-5272	50	12	still	still	ADV
easat-5272	50	13	limited	limit	VERB
easat-5272	50	14	by	by	ADP
easat-5272	50	15	the	the	DET
easat-5272	50	16	large	large	ADJ
easat-5272	50	17	amount	amount	NOUN
easat-5272	50	18	of	of	ADP
easat-5272	50	19	available	available	ADJ
easat-5272	50	20	labelled	label	VERB
easat-5272	50	21	data	datum	NOUN
easat-5272	50	22	,	,	PUNCT
easat-5272	50	23	which	which	PRON
easat-5272	50	24	poses	pose	VERB
easat-5272	50	25	a	a	DET
easat-5272	50	26	significant	significant	ADJ
easat-5272	50	27	challenge	challenge	NOUN
easat-5272	50	28	for	for	ADP
easat-5272	50	29	real	real	ADJ
easat-5272	50	30	-	-	PUNCT
easat-5272	50	31	world	world	NOUN
easat-5272	50	32	applications	application	NOUN
easat-5272	50	33	,	,	PUNCT
easat-5272	50	34	and	and	CCONJ
easat-5272	50	35	when	when	SCONJ
easat-5272	50	36	dealing	deal	VERB
easat-5272	50	37	with	with	ADP
easat-5272	50	38	complex	complex	ADJ
easat-5272	50	39	unsteady	unsteady	ADJ
easat-5272	50	40	vibration	vibration	NOUN
easat-5272	50	41	signals	signal	NOUN
easat-5272	50	42	,	,	PUNCT
easat-5272	50	43	it	it	PRON
easat-5272	50	44	is	be	AUX
easat-5272	50	45	difficult	difficult	ADJ
easat-5272	50	46	to	to	PART
easat-5272	50	47	deal	deal	VERB
easat-5272	50	48	with	with	ADP
easat-5272	50	49	the	the	DET
easat-5272	50	50	differences	difference	NOUN
easat-5272	50	51	between	between	ADP
easat-5272	50	52	various	various	ADJ
easat-5272	50	53	fault	fault	NOUN
easat-5272	50	54	signals	signal	NOUN
easat-5272	50	55	as	as	ADP
easat-5272	50	56	the	the	DET
easat-5272	50	57	complexity	complexity	NOUN
easat-5272	50	58	of	of	ADP
easat-5272	50	59	the	the	DET
easat-5272	50	60	elevator	elevator	NOUN
easat-5272	50	61	's	's	PART
easat-5272	50	62	operating	operate	VERB
easat-5272	50	63	environment	environment	NOUN
easat-5272	50	64	increases	increase	VERB
easat-5272	50	65	[	[	X
easat-5272	50	66	18	18	NUM
easat-5272	50	67	]	]	PUNCT
easat-5272	50	68	.	.	PUNCT
easat-5272	51	1	2.2	2.2	NUM
easat-5272	51	2	.	.	PUNCT
easat-5272	52	1	transfer	transfer	NOUN
easat-5272	52	2	learning	learning	NOUN
easat-5272	52	3	in	in	ADP
easat-5272	52	4	small	small	ADJ
easat-5272	52	5	-	-	PUNCT
easat-5272	52	6	sample	sample	NOUN
easat-5272	52	7	scenarios	scenario	NOUN
easat-5272	52	8	transfer	transfer	NOUN
easat-5272	52	9	learning	learn	VERB
easat-5272	52	10	techniques	technique	NOUN
easat-5272	52	11	have	have	AUX
easat-5272	52	12	shown	show	VERB
easat-5272	52	13	considerable	considerable	ADJ
easat-5272	52	14	promise	promise	NOUN
easat-5272	52	15	in	in	ADP
easat-5272	52	16	addressing	address	VERB
easat-5272	52	17	data	datum	NOUN
easat-5272	52	18	scarcity	scarcity	NOUN
easat-5272	52	19	by	by	ADP
easat-5272	52	20	leveraging	leverage	VERB
easat-5272	52	21	knowledge	knowledge	NOUN
easat-5272	52	22	from	from	ADP
easat-5272	52	23	the	the	DET
easat-5272	52	24	source	source	NOUN
easat-5272	52	25	domain	domain	NOUN
easat-5272	52	26	to	to	PART
easat-5272	52	27	benefit	benefit	VERB
easat-5272	52	28	the	the	DET
easat-5272	52	29	target	target	NOUN
easat-5272	52	30	domain	domain	NOUN
easat-5272	52	31	with	with	ADP
easat-5272	52	32	limited	limited	ADJ
easat-5272	52	33	labeled	label	VERB
easat-5272	52	34	data	datum	NOUN
easat-5272	52	35	.	.	PUNCT
easat-5272	53	1	for	for	ADP
easat-5272	53	2	instance	instance	NOUN
easat-5272	53	3	,	,	PUNCT
easat-5272	53	4	wu	wu	PROPN
easat-5272	53	5	,	,	PUNCT
easat-5272	53	6	et	et	PROPN
easat-5272	53	7	al	al	PROPN
easat-5272	53	8	.	.	PUNCT
easat-5272	54	1	[	[	X
easat-5272	54	2	19	19	NUM
easat-5272	54	3	]	]	PUNCT
easat-5272	54	4	developed	develop	VERB
easat-5272	54	5	a	a	DET
easat-5272	54	6	meta	meta	ADJ
easat-5272	54	7	-	-	PUNCT
easat-5272	54	8	learning	learning	NOUN
easat-5272	54	9	-	-	PUNCT
easat-5272	54	10	based	base	VERB
easat-5272	54	11	few	few	ADJ
easat-5272	54	12	-	-	PUNCT
easat-5272	54	13	shot	shot	NOUN
easat-5272	54	14	transfer	transfer	NOUN
easat-5272	54	15	learning	learn	VERB
easat-5272	54	16	approach	approach	NOUN
easat-5272	54	17	to	to	PART
easat-5272	54	18	address	address	VERB
easat-5272	54	19	the	the	DET
easat-5272	54	20	challenges	challenge	NOUN
easat-5272	54	21	in	in	ADP
easat-5272	54	22	rotating	rotate	VERB
easat-5272	54	23	machinery	machinery	NOUN
easat-5272	54	24	intelligent	intelligent	ADJ
easat-5272	54	25	diagnosis	diagnosis	NOUN
easat-5272	54	26	under	under	ADP
easat-5272	54	27	condition	condition	NOUN
easat-5272	54	28	transfer	transfer	NOUN
easat-5272	54	29	and	and	CCONJ
easat-5272	54	30	artificial	artificial	ADJ
easat-5272	54	31	-	-	PUNCT
easat-5272	54	32	to	to	ADP
easat-5272	54	33	-	-	PUNCT
easat-5272	54	34	natural	natural	ADJ
easat-5272	54	35	transfer	transfer	NOUN
easat-5272	54	36	scenarios	scenario	NOUN
easat-5272	54	37	.	.	PUNCT
easat-5272	55	1	dong	dong	PROPN
easat-5272	55	2	,	,	PUNCT
easat-5272	55	3	et	et	PROPN
easat-5272	55	4	al	al	PROPN
easat-5272	55	5	.	.	PUNCT
easat-5272	56	1	[	[	X
easat-5272	56	2	20	20	NUM
easat-5272	56	3	]	]	PUNCT
easat-5272	56	4	realized	realize	VERB
easat-5272	56	5	a	a	DET
easat-5272	56	6	fault	fault	NOUN
easat-5272	56	7	diagnosis	diagnosis	NOUN
easat-5272	56	8	method	method	NOUN
easat-5272	56	9	that	that	PRON
easat-5272	56	10	combines	combine	VERB
easat-5272	56	11	dynamic	dynamic	ADJ
easat-5272	56	12	modelling	modelling	NOUN
easat-5272	56	13	and	and	CCONJ
easat-5272	56	14	transfer	transfer	NOUN
easat-5272	56	15	learning	learning	NOUN
easat-5272	56	16	to	to	PART
easat-5272	56	17	generate	generate	VERB
easat-5272	56	18	diverse	diverse	ADJ
easat-5272	56	19	simulation	simulation	NOUN
easat-5272	56	20	data	datum	NOUN
easat-5272	56	21	through	through	ADP
easat-5272	56	22	dynamic	dynamic	ADJ
easat-5272	56	23	modelling	modelling	NOUN
easat-5272	56	24	,	,	PUNCT
easat-5272	56	25	and	and	CCONJ
easat-5272	56	26	uses	use	VERB
easat-5272	56	27	a	a	DET
easat-5272	56	28	convolutional	convolutional	ADJ
easat-5272	56	29	neural	neural	ADJ
easat-5272	56	30	network	network	NOUN
easat-5272	56	31	with	with	ADP
easat-5272	56	32	a	a	DET
easat-5272	56	33	parameter	parameter	NOUN
easat-5272	56	34	shifting	shift	VERB
easat-5272	56	35	strategy	strategy	NOUN
easat-5272	56	36	to	to	PART
easat-5272	56	37	tackle	tackle	VERB
easat-5272	56	38	the	the	DET
easat-5272	56	39	635	635	NUM
easat-5272	56	40	edelweiss	edelweiss	PROPN
easat-5272	56	41	applied	apply	VERB
easat-5272	56	42	science	science	NOUN
easat-5272	56	43	and	and	CCONJ
easat-5272	56	44	technology	technology	NOUN
easat-5272	56	45	issn	issn	PROPN
easat-5272	56	46	:	:	PUNCT
easat-5272	56	47	2576	2576	NUM
easat-5272	56	48	-	-	SYM
easat-5272	56	49	8484	8484	NUM
easat-5272	56	50	vol	vol	NOUN
easat-5272	56	51	.	.	PROPN
easat-5272	57	1	9	9	NUM
easat-5272	57	2	,	,	PUNCT
easat-5272	57	3	no	no	INTJ
easat-5272	57	4	.	.	NOUN
easat-5272	58	1	3	3	NUM
easat-5272	58	2	:	:	PUNCT
easat-5272	58	3	633	633	NUM
easat-5272	58	4	-	-	SYM
easat-5272	58	5	650	650	NUM
easat-5272	58	6	,	,	PUNCT
easat-5272	58	7	2025	2025	NUM
easat-5272	58	8	doi	doi	NOUN
easat-5272	58	9	:	:	PUNCT
easat-5272	58	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	58	11	©	©	PROPN
easat-5272	58	12	2025	2025	NUM
easat-5272	58	13	by	by	ADP
easat-5272	58	14	the	the	DET
easat-5272	58	15	authors	author	NOUN
easat-5272	58	16	;	;	PUNCT
easat-5272	58	17	licensee	licensee	PROPN
easat-5272	58	18	learning	learning	NOUN
easat-5272	58	19	gate	gate	VERB
easat-5272	58	20	small	small	ADJ
easat-5272	58	21	sample	sample	NOUN
easat-5272	58	22	problem	problem	NOUN
easat-5272	58	23	in	in	ADP
easat-5272	58	24	rolling	roll	VERB
easat-5272	58	25	bearing	bear	VERB
easat-5272	58	26	fault	fault	NOUN
easat-5272	58	27	diagnosis	diagnosis	NOUN
easat-5272	58	28	.	.	PUNCT
easat-5272	59	1	li	li	PROPN
easat-5272	59	2	,	,	PUNCT
easat-5272	59	3	et	et	PROPN
easat-5272	59	4	al	al	PROPN
easat-5272	59	5	.	.	PUNCT
easat-5272	60	1	[	[	X
easat-5272	60	2	21	21	NUM
easat-5272	60	3	]	]	PUNCT
easat-5272	60	4	proposed	propose	VERB
easat-5272	60	5	a	a	DET
easat-5272	60	6	fault	fault	NOUN
easat-5272	60	7	diagnosis	diagnosis	NOUN
easat-5272	60	8	method	method	NOUN
easat-5272	60	9	for	for	ADP
easat-5272	60	10	wind	wind	NOUN
easat-5272	60	11	turbines	turbine	NOUN
easat-5272	60	12	with	with	ADP
easat-5272	60	13	few	few	ADJ
easat-5272	60	14	sample	sample	NOUN
easat-5272	60	15	data	datum	NOUN
easat-5272	60	16	,	,	PUNCT
easat-5272	60	17	combining	combine	VERB
easat-5272	60	18	parameter	parameter	NOUN
easat-5272	60	19	-	-	PUNCT
easat-5272	60	20	based	base	VERB
easat-5272	60	21	transfer	transfer	NOUN
easat-5272	60	22	learning	learning	NOUN
easat-5272	60	23	and	and	CCONJ
easat-5272	60	24	convolutional	convolutional	ADJ
easat-5272	60	25	autoencoder	autoencoder	NOUN
easat-5272	60	26	(	(	PUNCT
easat-5272	60	27	cae	cae	NOUN
easat-5272	60	28	)	)	PUNCT
easat-5272	60	29	to	to	PART
easat-5272	60	30	adapt	adapt	VERB
easat-5272	60	31	knowledge	knowledge	NOUN
easat-5272	60	32	from	from	ADP
easat-5272	60	33	comparable	comparable	ADJ
easat-5272	60	34	wind	wind	NOUN
easat-5272	60	35	turbines	turbine	NOUN
easat-5272	60	36	to	to	ADP
easat-5272	60	37	the	the	DET
easat-5272	60	38	target	target	NOUN
easat-5272	60	39	turbine	turbine	NOUN
easat-5272	60	40	.	.	PUNCT
easat-5272	61	1	the	the	DET
easat-5272	61	2	method	method	NOUN
easat-5272	61	3	effectively	effectively	ADV
easat-5272	61	4	leverages	leverage	VERB
easat-5272	61	5	both	both	DET
easat-5272	61	6	target	target	NOUN
easat-5272	61	7	data	datum	NOUN
easat-5272	61	8	and	and	CCONJ
easat-5272	61	9	universal	universal	ADJ
easat-5272	61	10	failure	failure	NOUN
easat-5272	61	11	information	information	NOUN
easat-5272	61	12	from	from	ADP
easat-5272	61	13	other	other	ADJ
easat-5272	61	14	turbines	turbine	NOUN
easat-5272	61	15	,	,	PUNCT
easat-5272	61	16	outperforming	outperform	VERB
easat-5272	61	17	traditional	traditional	ADJ
easat-5272	61	18	and	and	CCONJ
easat-5272	61	19	non	non	ADJ
easat-5272	61	20	-	-	ADJ
easat-5272	61	21	transfer	transfer	ADJ
easat-5272	61	22	methods	method	NOUN
easat-5272	61	23	in	in	ADP
easat-5272	61	24	classification	classification	NOUN
easat-5272	61	25	accuracy	accuracy	NOUN
easat-5272	61	26	.	.	PUNCT
easat-5272	62	1	the	the	DET
easat-5272	62	2	above	above	ADJ
easat-5272	62	3	study	study	NOUN
easat-5272	62	4	suggests	suggest	VERB
easat-5272	62	5	that	that	SCONJ
easat-5272	62	6	transfer	transfer	NOUN
easat-5272	62	7	learning	learning	NOUN
easat-5272	62	8	may	may	AUX
easat-5272	62	9	have	have	VERB
easat-5272	62	10	good	good	ADJ
easat-5272	62	11	potential	potential	NOUN
easat-5272	62	12	for	for	ADP
easat-5272	62	13	application	application	NOUN
easat-5272	62	14	in	in	ADP
easat-5272	62	15	the	the	DET
easat-5272	62	16	area	area	NOUN
easat-5272	62	17	of	of	ADP
easat-5272	62	18	elevator	elevator	NOUN
easat-5272	62	19	guideway	guideway	NOUN
easat-5272	62	20	fault	fault	NOUN
easat-5272	62	21	diagnosis	diagnosis	NOUN
easat-5272	62	22	driven	drive	VERB
easat-5272	62	23	by	by	ADP
easat-5272	62	24	limited	limited	ADJ
easat-5272	62	25	data	datum	NOUN
easat-5272	62	26	.	.	PUNCT
easat-5272	63	1	3	3	X
easat-5272	63	2	.	.	X
easat-5272	63	3	methodology	methodology	NOUN
easat-5272	63	4	3.1	3.1	NUM
easat-5272	63	5	.	.	PUNCT
easat-5272	64	1	empirical	empirical	ADJ
easat-5272	64	2	mode	mode	NOUN
easat-5272	64	3	decomposition	decomposition	NOUN
easat-5272	64	4	(	(	PUNCT
easat-5272	64	5	emd	emd	NOUN
easat-5272	64	6	)	)	PUNCT
easat-5272	64	7	elevator	elevator	NOUN
easat-5272	64	8	guideway	guideway	NOUN
easat-5272	64	9	vibration	vibration	NOUN
easat-5272	64	10	signals	signal	NOUN
easat-5272	64	11	often	often	ADV
easat-5272	64	12	exhibit	exhibit	VERB
easat-5272	64	13	non	non	ADJ
easat-5272	64	14	-	-	ADJ
easat-5272	64	15	stationary	stationary	ADJ
easat-5272	64	16	and	and	CCONJ
easat-5272	64	17	complex	complex	ADJ
easat-5272	64	18	characteristics	characteristic	NOUN
easat-5272	64	19	,	,	PUNCT
easat-5272	64	20	influenced	influence	VERB
easat-5272	64	21	by	by	ADP
easat-5272	64	22	long	long	ADJ
easat-5272	64	23	-	-	PUNCT
easat-5272	64	24	term	term	NOUN
easat-5272	64	25	service	service	NOUN
easat-5272	64	26	and	and	CCONJ
easat-5272	64	27	operational	operational	ADJ
easat-5272	64	28	conditions	condition	NOUN
easat-5272	64	29	.	.	PUNCT
easat-5272	65	1	to	to	PART
easat-5272	65	2	address	address	VERB
easat-5272	65	3	these	these	DET
easat-5272	65	4	challenges	challenge	NOUN
easat-5272	65	5	,	,	PUNCT
easat-5272	65	6	emd	emd	PROPN
easat-5272	65	7	is	be	AUX
easat-5272	65	8	employed	employ	VERB
easat-5272	65	9	to	to	PART
easat-5272	65	10	preprocess	preprocess	VERB
easat-5272	65	11	the	the	DET
easat-5272	65	12	vibration	vibration	NOUN
easat-5272	65	13	signals	signal	NOUN
easat-5272	65	14	and	and	CCONJ
easat-5272	65	15	extract	extract	VERB
easat-5272	65	16	multi	multi	ADJ
easat-5272	65	17	-	-	ADJ
easat-5272	65	18	scale	scale	ADJ
easat-5272	65	19	features	feature	NOUN
easat-5272	65	20	[	[	X
easat-5272	65	21	22	22	NUM
easat-5272	65	22	]	]	PUNCT
easat-5272	65	23	.	.	PUNCT
easat-5272	66	1	as	as	ADP
easat-5272	66	2	an	an	DET
easat-5272	66	3	adaptive	adaptive	ADJ
easat-5272	66	4	and	and	CCONJ
easat-5272	66	5	data	data	NOUN
easat-5272	66	6	-	-	PUNCT
easat-5272	66	7	driven	drive	VERB
easat-5272	66	8	method	method	NOUN
easat-5272	66	9	,	,	PUNCT
easat-5272	66	10	emd	emd	PROPN
easat-5272	66	11	decomposes	decompose	VERB
easat-5272	66	12	a	a	DET
easat-5272	66	13	signal	signal	NOUN
easat-5272	66	14	into	into	ADP
easat-5272	66	15	several	several	ADJ
easat-5272	66	16	imfs	imfs	NOUN
easat-5272	66	17	,	,	PUNCT
easat-5272	66	18	each	each	PRON
easat-5272	66	19	representing	represent	VERB
easat-5272	66	20	a	a	DET
easat-5272	66	21	specific	specific	ADJ
easat-5272	66	22	frequency	frequency	NOUN
easat-5272	66	23	band	band	NOUN
easat-5272	66	24	.	.	PUNCT
easat-5272	67	1	the	the	DET
easat-5272	67	2	decomposition	decomposition	NOUN
easat-5272	67	3	process	process	NOUN
easat-5272	67	4	iteratively	iteratively	ADV
easat-5272	67	5	identifies	identify	VERB
easat-5272	67	6	the	the	DET
easat-5272	67	7	local	local	ADJ
easat-5272	67	8	extremes	extreme	NOUN
easat-5272	67	9	of	of	ADP
easat-5272	67	10	the	the	DET
easat-5272	67	11	signal	signal	NOUN
easat-5272	67	12	and	and	CCONJ
easat-5272	67	13	forms	form	VERB
easat-5272	67	14	a	a	DET
easat-5272	67	15	series	series	NOUN
easat-5272	67	16	of	of	ADP
easat-5272	67	17	imfs	imfs	PROPN
easat-5272	67	18	to	to	PART
easat-5272	67	19	extract	extract	VERB
easat-5272	67	20	meaningful	meaningful	ADJ
easat-5272	67	21	features	feature	NOUN
easat-5272	67	22	from	from	ADP
easat-5272	67	23	nonlinear	nonlinear	ADJ
easat-5272	67	24	and	and	CCONJ
easat-5272	67	25	nonstationary	nonstationary	ADJ
easat-5272	67	26	signals	signal	NOUN
easat-5272	67	27	.	.	PUNCT
easat-5272	68	1	given	give	VERB
easat-5272	68	2	a	a	DET
easat-5272	68	3	vibration	vibration	NOUN
easat-5272	68	4	signal	signal	NOUN
easat-5272	68	5	𝑥(𝑡	𝑥(𝑡	PROPN
easat-5272	68	6	)	)	PUNCT
easat-5272	68	7	,	,	PUNCT
easat-5272	68	8	the	the	DET
easat-5272	68	9	emd	emd	PROPN
easat-5272	68	10	process	process	NOUN
easat-5272	68	11	involves	involve	VERB
easat-5272	68	12	[	[	X
easat-5272	68	13	23	23	NUM
easat-5272	68	14	]	]	X
easat-5272	68	15	:	:	PUNCT
easat-5272	68	16	detecting	detect	VERB
easat-5272	68	17	all	all	DET
easat-5272	68	18	local	local	ADJ
easat-5272	68	19	peaks	peak	NOUN
easat-5272	68	20	and	and	CCONJ
easat-5272	68	21	valleys	valley	NOUN
easat-5272	68	22	in	in	ADP
easat-5272	68	23	𝑥(𝑡	𝑥(𝑡	NOUN
easat-5272	68	24	)	)	PUNCT
easat-5272	68	25	.	.	PUNCT
easat-5272	69	1	interpolating	interpolate	VERB
easat-5272	69	2	the	the	DET
easat-5272	69	3	maxima	maxima	NOUN
easat-5272	69	4	and	and	CCONJ
easat-5272	69	5	minima	minima	VERB
easat-5272	69	6	separately	separately	ADV
easat-5272	69	7	to	to	PART
easat-5272	69	8	form	form	VERB
easat-5272	69	9	upper	upper	ADJ
easat-5272	69	10	and	and	CCONJ
easat-5272	69	11	lower	low	ADJ
easat-5272	69	12	envelopes	envelope	NOUN
easat-5272	69	13	.	.	PUNCT
easat-5272	70	1	calculating	calculate	VERB
easat-5272	70	2	the	the	DET
easat-5272	70	3	mean	mean	NOUN
easat-5272	70	4	of	of	ADP
easat-5272	70	5	the	the	DET
easat-5272	70	6	envelopes	envelope	NOUN
easat-5272	70	7	𝑚(𝑡	𝑚(𝑡	VERB
easat-5272	70	8	)	)	PUNCT
easat-5272	70	9	,	,	PUNCT
easat-5272	70	10	and	and	CCONJ
easat-5272	70	11	subtracting	subtract	VERB
easat-5272	70	12	it	it	PRON
easat-5272	70	13	from	from	ADP
easat-5272	70	14	𝑥(𝑡	𝑥(𝑡	NOUN
easat-5272	70	15	)	)	PUNCT
easat-5272	70	16	to	to	PART
easat-5272	70	17	obtain	obtain	VERB
easat-5272	70	18	a	a	DET
easat-5272	70	19	candidate	candidate	NOUN
easat-5272	70	20	imf	imf	NOUN
easat-5272	70	21	:	:	PUNCT
easat-5272	70	22	ℎ(𝑡)=𝑥(𝑡)−𝑚(𝑡	ℎ(𝑡)=𝑥(𝑡)−𝑚(𝑡	NUM
easat-5272	70	23	)	)	PUNCT
easat-5272	70	24	repeating	repeat	VERB
easat-5272	70	25	the	the	DET
easat-5272	70	26	sifting	sift	VERB
easat-5272	70	27	process	process	NOUN
easat-5272	70	28	until	until	ADP
easat-5272	70	29	ℎ(𝑡	ℎ(𝑡	PROPN
easat-5272	70	30	)	)	PUNCT
easat-5272	70	31	satisfies	satisfy	VERB
easat-5272	70	32	the	the	DET
easat-5272	70	33	imf	imf	PROPN
easat-5272	70	34	conditions	condition	NOUN
easat-5272	70	35	.	.	PUNCT
easat-5272	71	1	the	the	DET
easat-5272	71	2	resulting	result	VERB
easat-5272	71	3	imf	imf	NOUN
easat-5272	71	4	represents	represent	VERB
easat-5272	71	5	one	one	NUM
easat-5272	71	6	component	component	NOUN
easat-5272	71	7	of	of	ADP
easat-5272	71	8	the	the	DET
easat-5272	71	9	signal	signal	NOUN
easat-5272	71	10	.	.	PUNCT
easat-5272	72	1	this	this	DET
easat-5272	72	2	procedure	procedure	NOUN
easat-5272	72	3	iterated	iterate	VERB
easat-5272	72	4	until	until	SCONJ
easat-5272	72	5	the	the	DET
easat-5272	72	6	residual	residual	ADJ
easat-5272	72	7	signal	signal	NOUN
easat-5272	72	8	becomes	become	VERB
easat-5272	72	9	monotonic	monotonic	ADJ
easat-5272	72	10	,	,	PUNCT
easat-5272	72	11	and	and	CCONJ
easat-5272	72	12	the	the	DET
easat-5272	72	13	results	result	NOUN
easat-5272	72	14	will	will	AUX
easat-5272	72	15	as	as	SCONJ
easat-5272	72	16	show	show	VERB
easat-5272	72	17	in	in	ADP
easat-5272	72	18	figure	figure	NOUN
easat-5272	72	19	1	1	NUM
easat-5272	72	20	.	.	NOUN
easat-5272	72	21	636	636	NUM
easat-5272	72	22	edelweiss	edelweiss	PROPN
easat-5272	72	23	applied	apply	VERB
easat-5272	72	24	science	science	NOUN
easat-5272	72	25	and	and	CCONJ
easat-5272	72	26	technology	technology	NOUN
easat-5272	72	27	issn	issn	PROPN
easat-5272	72	28	:	:	PUNCT
easat-5272	72	29	2576	2576	NUM
easat-5272	72	30	-	-	SYM
easat-5272	72	31	8484	8484	NUM
easat-5272	72	32	vol	vol	NOUN
easat-5272	72	33	.	.	PROPN
easat-5272	73	1	9	9	NUM
easat-5272	73	2	,	,	PUNCT
easat-5272	73	3	no	no	INTJ
easat-5272	73	4	.	.	NOUN
easat-5272	74	1	3	3	NUM
easat-5272	74	2	:	:	PUNCT
easat-5272	74	3	633	633	NUM
easat-5272	74	4	-	-	SYM
easat-5272	74	5	650	650	NUM
easat-5272	74	6	,	,	PUNCT
easat-5272	74	7	2025	2025	NUM
easat-5272	74	8	doi	doi	NOUN
easat-5272	74	9	:	:	PUNCT
easat-5272	74	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	74	11	©	©	PROPN
easat-5272	74	12	2025	2025	NUM
easat-5272	74	13	by	by	ADP
easat-5272	74	14	the	the	DET
easat-5272	74	15	authors	author	NOUN
easat-5272	74	16	;	;	PUNCT
easat-5272	74	17	licensee	licensee	PROPN
easat-5272	74	18	learning	learn	VERB
easat-5272	74	19	gate	gate	NOUN
easat-5272	74	20	figure	figure	NOUN
easat-5272	74	21	1	1	NUM
easat-5272	74	22	.	.	PUNCT
easat-5272	74	23	schematic	schematic	ADJ
easat-5272	74	24	of	of	ADP
easat-5272	74	25	empirical	empirical	ADJ
easat-5272	74	26	mode	mode	NOUN
easat-5272	74	27	decomposition	decomposition	NOUN
easat-5272	74	28	(	(	PUNCT
easat-5272	74	29	emd	emd	NOUN
easat-5272	74	30	)	)	PUNCT
easat-5272	74	31	processing	processing	NOUN
easat-5272	74	32	results	result	NOUN
easat-5272	74	33	.	.	PUNCT
easat-5272	75	1	3.2	3.2	NUM
easat-5272	75	2	.	.	X
easat-5272	76	1	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	76	2	process	process	NOUN
easat-5272	76	3	3.2.1	3.2.1	NUM
easat-5272	76	4	.	.	PUNCT
easat-5272	77	1	1d	1d	NUM
easat-5272	77	2	-	-	PUNCT
easat-5272	77	3	cnn	cnn	PROPN
easat-5272	77	4	:	:	PUNCT
easat-5272	77	5	a	a	DET
easat-5272	77	6	foundation	foundation	NOUN
easat-5272	77	7	for	for	ADP
easat-5272	77	8	sequential	sequential	ADJ
easat-5272	77	9	data	datum	NOUN
easat-5272	77	10	analysis	analysis	NOUN
easat-5272	77	11	one	one	NUM
easat-5272	77	12	-	-	PUNCT
easat-5272	77	13	dimensional	dimensional	ADJ
easat-5272	77	14	convolutional	convolutional	ADJ
easat-5272	77	15	neural	neural	ADJ
easat-5272	77	16	network	network	NOUN
easat-5272	77	17	(	(	PUNCT
easat-5272	77	18	1d	1d	PROPN
easat-5272	77	19	-	-	PUNCT
easat-5272	77	20	cnn	cnn	NOUN
easat-5272	77	21	)	)	PUNCT
easat-5272	77	22	is	be	AUX
easat-5272	77	23	particularly	particularly	ADV
easat-5272	77	24	effective	effective	ADJ
easat-5272	77	25	for	for	ADP
easat-5272	77	26	processing	process	VERB
easat-5272	77	27	sequential	sequential	ADJ
easat-5272	77	28	data	datum	NOUN
easat-5272	77	29	,	,	PUNCT
easat-5272	77	30	such	such	ADJ
easat-5272	77	31	as	as	ADP
easat-5272	77	32	vibration	vibration	NOUN
easat-5272	77	33	signals	signal	NOUN
easat-5272	77	34	,	,	PUNCT
easat-5272	77	35	since	since	SCONJ
easat-5272	77	36	it	it	PRON
easat-5272	77	37	is	be	AUX
easat-5272	77	38	capable	capable	ADJ
easat-5272	77	39	of	of	ADP
easat-5272	77	40	capture	capture	NOUN
easat-5272	77	41	local	local	ADJ
easat-5272	77	42	temporal	temporal	ADJ
easat-5272	77	43	dependencies	dependency	NOUN
easat-5272	77	44	and	and	CCONJ
easat-5272	77	45	automatically	automatically	ADV
easat-5272	77	46	extract	extract	VERB
easat-5272	77	47	hierarchical	hierarchical	ADJ
easat-5272	77	48	features	feature	NOUN
easat-5272	77	49	directly	directly	ADV
easat-5272	77	50	from	from	ADP
easat-5272	77	51	raw	raw	ADJ
easat-5272	77	52	inputs	input	NOUN
easat-5272	77	53	[	[	X
easat-5272	77	54	24	24	NUM
easat-5272	77	55	]	]	PUNCT
easat-5272	77	56	.	.	PUNCT
easat-5272	78	1	these	these	DET
easat-5272	78	2	characteristics	characteristic	NOUN
easat-5272	78	3	make	make	VERB
easat-5272	78	4	1d	1d	NUM
easat-5272	78	5	-	-	PUNCT
easat-5272	78	6	cnn	cnn	NOUN
easat-5272	78	7	well	well	ADV
easat-5272	78	8	-	-	PUNCT
easat-5272	78	9	suited	suit	VERB
easat-5272	78	10	for	for	ADP
easat-5272	78	11	elevator	elevator	NOUN
easat-5272	78	12	guideway	guideway	NOUN
easat-5272	78	13	fault	fault	NOUN
easat-5272	78	14	diagnosis	diagnosis	NOUN
easat-5272	78	15	,	,	PUNCT
easat-5272	78	16	where	where	SCONJ
easat-5272	78	17	vibration	vibration	NOUN
easat-5272	78	18	signals	signal	NOUN
easat-5272	78	19	often	often	ADV
easat-5272	78	20	exhibit	exhibit	VERB
easat-5272	78	21	overlapping	overlap	VERB
easat-5272	78	22	fault	fault	NOUN
easat-5272	78	23	characteristics	characteristic	NOUN
easat-5272	78	24	and	and	CCONJ
easat-5272	78	25	non	non	ADJ
easat-5272	78	26	-	-	ADJ
easat-5272	78	27	linear	linear	ADJ
easat-5272	78	28	variations	variation	NOUN
easat-5272	78	29	[	[	X
easat-5272	78	30	25	25	NUM
easat-5272	78	31	]	]	PUNCT
easat-5272	78	32	.	.	PUNCT
easat-5272	79	1	by	by	ADP
easat-5272	79	2	leveraging	leverage	VERB
easat-5272	79	3	convolutional	convolutional	ADJ
easat-5272	79	4	operations	operation	NOUN
easat-5272	79	5	,	,	PUNCT
easat-5272	79	6	1d	1d	NUM
easat-5272	79	7	-	-	PUNCT
easat-5272	79	8	cnn	cnn	PROPN
easat-5272	79	9	can	can	AUX
easat-5272	79	10	robustly	robustly	ADV
easat-5272	79	11	learn	learn	VERB
easat-5272	79	12	fault	fault	NOUN
easat-5272	79	13	-	-	PUNCT
easat-5272	79	14	related	relate	VERB
easat-5272	79	15	patterns	pattern	NOUN
easat-5272	79	16	,	,	PUNCT
easat-5272	79	17	ensuring	ensure	VERB
easat-5272	79	18	reliable	reliable	ADJ
easat-5272	79	19	performance	performance	NOUN
easat-5272	79	20	in	in	ADP
easat-5272	79	21	noisy	noisy	ADJ
easat-5272	79	22	environments	environment	NOUN
easat-5272	79	23	.	.	PUNCT
easat-5272	80	1	the	the	DET
easat-5272	80	2	basic	basic	ADJ
easat-5272	80	3	structure	structure	NOUN
easat-5272	80	4	of	of	ADP
easat-5272	80	5	1d	1d	NUM
easat-5272	80	6	-	-	PUNCT
easat-5272	80	7	cnn	cnn	NOUN
easat-5272	80	8	[	[	X
easat-5272	80	9	26	26	NUM
easat-5272	80	10	]	]	PUNCT
easat-5272	80	11	is	be	AUX
easat-5272	80	12	presented	present	VERB
easat-5272	80	13	in	in	ADP
easat-5272	80	14	figure	figure	NOUN
easat-5272	80	15	2	2	NUM
easat-5272	80	16	:	:	PUNCT
easat-5272	80	17	637	637	NUM
easat-5272	80	18	edelweiss	edelweiss	PROPN
easat-5272	80	19	applied	apply	VERB
easat-5272	80	20	science	science	NOUN
easat-5272	80	21	and	and	CCONJ
easat-5272	80	22	technology	technology	NOUN
easat-5272	80	23	issn	issn	PROPN
easat-5272	80	24	:	:	PUNCT
easat-5272	80	25	2576	2576	NUM
easat-5272	80	26	-	-	SYM
easat-5272	80	27	8484	8484	NUM
easat-5272	80	28	vol	vol	NOUN
easat-5272	80	29	.	.	PROPN
easat-5272	81	1	9	9	NUM
easat-5272	81	2	,	,	PUNCT
easat-5272	81	3	no	no	INTJ
easat-5272	81	4	.	.	NOUN
easat-5272	82	1	3	3	NUM
easat-5272	82	2	:	:	PUNCT
easat-5272	82	3	633	633	NUM
easat-5272	82	4	-	-	SYM
easat-5272	82	5	650	650	NUM
easat-5272	82	6	,	,	PUNCT
easat-5272	82	7	2025	2025	NUM
easat-5272	82	8	doi	doi	NOUN
easat-5272	82	9	:	:	PUNCT
easat-5272	82	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	82	11	©	©	PROPN
easat-5272	82	12	2025	2025	NUM
easat-5272	82	13	by	by	ADP
easat-5272	82	14	the	the	DET
easat-5272	82	15	authors	author	NOUN
easat-5272	82	16	;	;	PUNCT
easat-5272	82	17	licensee	licensee	PROPN
easat-5272	82	18	learning	learn	VERB
easat-5272	82	19	gate	gate	NOUN
easat-5272	82	20	figure	figure	NOUN
easat-5272	82	21	2	2	NUM
easat-5272	82	22	.	.	PUNCT
easat-5272	83	1	the	the	DET
easat-5272	83	2	basic	basic	ADJ
easat-5272	83	3	structure	structure	NOUN
easat-5272	83	4	of	of	ADP
easat-5272	83	5	one	one	NUM
easat-5272	83	6	-	-	PUNCT
easat-5272	83	7	dimensional	dimensional	ADJ
easat-5272	83	8	convolutional	convolutional	ADJ
easat-5272	83	9	neural	neural	ADJ
easat-5272	83	10	network	network	NOUN
easat-5272	83	11	(	(	PUNCT
easat-5272	83	12	1d	1d	NOUN
easat-5272	83	13	-	-	PUNCT
easat-5272	83	14	cnn	cnn	NOUN
easat-5272	83	15	)	)	PUNCT
easat-5272	83	16	.	.	PUNCT
easat-5272	84	1	3.2.2	3.2.2	X
easat-5272	84	2	.	.	PUNCT
easat-5272	84	3	input	input	NOUN
easat-5272	84	4	layer	layer	NOUN
easat-5272	84	5	accepts	accept	VERB
easat-5272	84	6	vibration	vibration	NOUN
easat-5272	84	7	signals	signal	NOUN
easat-5272	84	8	data	datum	NOUN
easat-5272	84	9	in	in	ADP
easat-5272	84	10	time	time	NOUN
easat-5272	84	11	-	-	PUNCT
easat-5272	84	12	series	series	NOUN
easat-5272	84	13	,	,	PUNCT
easat-5272	84	14	with	with	ADP
easat-5272	84	15	each	each	DET
easat-5272	84	16	channel	channel	NOUN
easat-5272	84	17	corresponding	correspond	VERB
easat-5272	84	18	to	to	ADP
easat-5272	84	19	an	an	DET
easat-5272	84	20	imf	imf	PROPN
easat-5272	84	21	derived	derive	VERB
easat-5272	84	22	from	from	ADP
easat-5272	84	23	emd	emd	PROPN
easat-5272	84	24	,	,	PUNCT
easat-5272	84	25	enabling	enable	VERB
easat-5272	84	26	the	the	DET
easat-5272	84	27	model	model	NOUN
easat-5272	84	28	to	to	PART
easat-5272	84	29	capture	capture	VERB
easat-5272	84	30	complementary	complementary	ADJ
easat-5272	84	31	information	information	NOUN
easat-5272	84	32	across	across	ADP
easat-5272	84	33	different	different	ADJ
easat-5272	84	34	scales	scale	NOUN
easat-5272	84	35	.	.	PUNCT
easat-5272	85	1	3.2.3	3.2.3	X
easat-5272	85	2	.	.	PUNCT
easat-5272	85	3	convolutional	convolutional	ADJ
easat-5272	85	4	layers	layer	NOUN
easat-5272	85	5	employed	employ	VERB
easat-5272	85	6	to	to	PART
easat-5272	85	7	extract	extract	VERB
easat-5272	85	8	hierarchical	hierarchical	ADJ
easat-5272	85	9	features	feature	NOUN
easat-5272	85	10	of	of	ADP
easat-5272	85	11	input	input	NOUN
easat-5272	85	12	data	datum	NOUN
easat-5272	85	13	from	from	ADP
easat-5272	85	14	each	each	DET
easat-5272	85	15	channel	channel	NOUN
easat-5272	85	16	,	,	PUNCT
easat-5272	85	17	identify	identify	VERB
easat-5272	85	18	patterns	pattern	NOUN
easat-5272	85	19	within	within	ADP
easat-5272	85	20	each	each	DET
easat-5272	85	21	imf	imf	NOUN
easat-5272	85	22	.	.	PUNCT
easat-5272	86	1	3.2.4	3.2.4	X
easat-5272	86	2	.	.	PUNCT
easat-5272	87	1	pooling	pool	VERB
easat-5272	87	2	layers	layer	NOUN
easat-5272	87	3	max	max	PROPN
easat-5272	87	4	-	-	PUNCT
easat-5272	87	5	pooling	pooling	NOUN
easat-5272	87	6	is	be	AUX
easat-5272	87	7	added	add	VERB
easat-5272	87	8	after	after	ADP
easat-5272	87	9	each	each	DET
easat-5272	87	10	convolutional	convolutional	ADJ
easat-5272	87	11	layer	layer	NOUN
easat-5272	87	12	to	to	PART
easat-5272	87	13	diminish	diminish	VERB
easat-5272	87	14	the	the	DET
easat-5272	87	15	dimensionality	dimensionality	NOUN
easat-5272	87	16	of	of	ADP
easat-5272	87	17	the	the	DET
easat-5272	87	18	feature	feature	NOUN
easat-5272	87	19	maps	map	NOUN
easat-5272	87	20	.	.	PUNCT
easat-5272	88	1	this	this	DET
easat-5272	88	2	step	step	NOUN
easat-5272	88	3	serves	serve	VERB
easat-5272	88	4	to	to	PART
easat-5272	88	5	decrease	decrease	VERB
easat-5272	88	6	computational	computational	ADJ
easat-5272	88	7	complexity	complexity	NOUN
easat-5272	88	8	while	while	SCONJ
easat-5272	88	9	also	also	ADV
easat-5272	88	10	helps	help	VERB
easat-5272	88	11	prevent	prevent	VERB
easat-5272	88	12	overfitting	overfitting	NOUN
easat-5272	88	13	by	by	ADP
easat-5272	88	14	retaining	retain	VERB
easat-5272	88	15	only	only	ADV
easat-5272	88	16	the	the	DET
easat-5272	88	17	most	most	ADV
easat-5272	88	18	salient	salient	NOUN
easat-5272	88	19	features	feature	NOUN
easat-5272	88	20	.	.	PUNCT
easat-5272	89	1	3.2.5	3.2.5	X
easat-5272	89	2	.	.	X
easat-5272	89	3	dropout	dropout	NOUN
easat-5272	89	4	layer	layer	NOUN
easat-5272	89	5	incorporated	incorporate	VERB
easat-5272	89	6	to	to	PART
easat-5272	89	7	deactivate	deactivate	VERB
easat-5272	89	8	a	a	DET
easat-5272	89	9	fraction	fraction	NOUN
easat-5272	89	10	of	of	ADP
easat-5272	89	11	neurons	neuron	NOUN
easat-5272	89	12	during	during	ADP
easat-5272	89	13	training	training	NOUN
easat-5272	89	14	,	,	PUNCT
easat-5272	89	15	reducing	reduce	VERB
easat-5272	89	16	overfitting	overfitting	NOUN
easat-5272	89	17	and	and	CCONJ
easat-5272	89	18	enhances	enhance	VERB
easat-5272	89	19	the	the	DET
easat-5272	89	20	model	model	NOUN
easat-5272	89	21	’s	’s	PART
easat-5272	89	22	generalization	generalization	NOUN
easat-5272	89	23	capability	capability	NOUN
easat-5272	89	24	,	,	PUNCT
easat-5272	89	25	especially	especially	ADV
easat-5272	89	26	when	when	SCONJ
easat-5272	89	27	training	train	VERB
easat-5272	89	28	with	with	ADP
easat-5272	89	29	limited	limited	ADJ
easat-5272	89	30	labeled	label	VERB
easat-5272	89	31	data	datum	NOUN
easat-5272	89	32	.	.	PUNCT
easat-5272	90	1	3.2.6	3.2.6	X
easat-5272	90	2	.	.	PUNCT
easat-5272	90	3	fully	fully	ADV
easat-5272	90	4	connected	connect	VERB
easat-5272	90	5	(	(	PUNCT
easat-5272	90	6	linear	linear	ADJ
easat-5272	90	7	)	)	PUNCT
easat-5272	90	8	layer	layer	NOUN
easat-5272	90	9	the	the	DET
easat-5272	90	10	features	feature	NOUN
easat-5272	90	11	extracted	extract	VERB
easat-5272	90	12	from	from	ADP
easat-5272	90	13	all	all	DET
easat-5272	90	14	channels	channel	NOUN
easat-5272	90	15	are	be	AUX
easat-5272	90	16	flattened	flatten	VERB
easat-5272	90	17	and	and	CCONJ
easat-5272	90	18	conveyed	convey	VERB
easat-5272	90	19	to	to	ADP
easat-5272	90	20	a	a	DET
easat-5272	90	21	fully	fully	ADV
easat-5272	90	22	connected	connect	VERB
easat-5272	90	23	layer	layer	NOUN
easat-5272	90	24	,	,	PUNCT
easat-5272	90	25	integrating	integrate	VERB
easat-5272	90	26	multi	multi	ADJ
easat-5272	90	27	-	-	ADJ
easat-5272	90	28	scale	scale	ADJ
easat-5272	90	29	information	information	NOUN
easat-5272	90	30	into	into	ADP
easat-5272	90	31	a	a	DET
easat-5272	90	32	comprehensive	comprehensive	ADJ
easat-5272	90	33	representation	representation	NOUN
easat-5272	90	34	for	for	ADP
easat-5272	90	35	classification	classification	NOUN
easat-5272	90	36	.	.	PUNCT
easat-5272	91	1	3.2.7	3.2.7	NUM
easat-5272	91	2	.	.	PUNCT
easat-5272	91	3	activation	activation	NOUN
easat-5272	91	4	layer	layer	NOUN
easat-5272	91	5	(	(	PUNCT
easat-5272	91	6	classifier	classifier	NOUN
easat-5272	91	7	)	)	PUNCT
easat-5272	91	8	outputs	output	NOUN
easat-5272	91	9	probabilities	probability	NOUN
easat-5272	91	10	for	for	ADP
easat-5272	91	11	each	each	DET
easat-5272	91	12	fault	fault	NOUN
easat-5272	91	13	category	category	NOUN
easat-5272	91	14	,	,	PUNCT
easat-5272	91	15	and	and	CCONJ
easat-5272	91	16	enables	enable	VERB
easat-5272	91	17	precise	precise	ADJ
easat-5272	91	18	classification	classification	NOUN
easat-5272	91	19	by	by	ADP
easat-5272	91	20	leveraging	leverage	VERB
easat-5272	91	21	the	the	DET
easat-5272	91	22	hierarchical	hierarchical	ADJ
easat-5272	91	23	and	and	CCONJ
easat-5272	91	24	multi	multi	ADJ
easat-5272	91	25	-	-	ADJ
easat-5272	91	26	channel	channel	ADJ
easat-5272	91	27	features	feature	NOUN
easat-5272	91	28	extracted	extract	VERB
easat-5272	91	29	by	by	ADP
easat-5272	91	30	the	the	DET
easat-5272	91	31	preceding	precede	VERB
easat-5272	91	32	layers	layer	NOUN
easat-5272	91	33	.	.	PUNCT
easat-5272	92	1	3.2.8	3.2.8	X
easat-5272	92	2	.	.	PUNCT
easat-5272	92	3	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	92	4	:	:	PUNCT
easat-5272	92	5	with	with	ADP
easat-5272	92	6	multi	multi	ADJ
easat-5272	92	7	-	-	ADJ
easat-5272	92	8	scale	scale	ADJ
easat-5272	92	9	feature	feature	NOUN
easat-5272	92	10	extraction	extraction	NOUN
easat-5272	92	11	in	in	ADP
easat-5272	92	12	order	order	NOUN
easat-5272	92	13	to	to	PART
easat-5272	92	14	effectively	effectively	ADV
easat-5272	92	15	process	process	VERB
easat-5272	92	16	the	the	DET
easat-5272	92	17	multi	multi	ADJ
easat-5272	92	18	-	-	ADJ
easat-5272	92	19	scale	scale	ADJ
easat-5272	92	20	fault	fault	NOUN
easat-5272	92	21	-	-	PUNCT
easat-5272	92	22	related	relate	VERB
easat-5272	92	23	information	information	NOUN
easat-5272	92	24	embedded	embed	VERB
easat-5272	92	25	in	in	ADP
easat-5272	92	26	the	the	DET
easat-5272	92	27	vibration	vibration	NOUN
easat-5272	92	28	signals	signal	NOUN
easat-5272	92	29	,	,	PUNCT
easat-5272	92	30	emd	emd	PROPN
easat-5272	92	31	is	be	AUX
easat-5272	92	32	adopted	adopt	VERB
easat-5272	92	33	as	as	ADP
easat-5272	92	34	a	a	DET
easat-5272	92	35	preprocessing	preprocessing	NOUN
easat-5272	92	36	step	step	NOUN
easat-5272	92	37	,	,	PUNCT
easat-5272	92	38	in	in	ADP
easat-5272	92	39	which	which	PRON
easat-5272	92	40	the	the	DET
easat-5272	92	41	vibration	vibration	NOUN
easat-5272	92	42	signals	signal	NOUN
easat-5272	92	43	are	be	AUX
easat-5272	92	44	decomposed	decompose	VERB
easat-5272	92	45	into	into	ADP
easat-5272	92	46	imfs	imfs	NOUN
easat-5272	92	47	,	,	PUNCT
easat-5272	92	48	each	each	PRON
easat-5272	92	49	represents	represent	VERB
easat-5272	92	50	a	a	DET
easat-5272	92	51	specific	specific	ADJ
easat-5272	92	52	frequency	frequency	NOUN
easat-5272	92	53	range	range	NOUN
easat-5272	92	54	,	,	PUNCT
easat-5272	92	55	and	and	CCONJ
easat-5272	92	56	used	use	VERB
easat-5272	92	57	to	to	PART
easat-5272	92	58	retain	retain	VERB
easat-5272	92	59	the	the	DET
easat-5272	92	60	key	key	ADJ
easat-5272	92	61	features	feature	NOUN
easat-5272	92	62	at	at	ADP
easat-5272	92	63	different	different	ADJ
easat-5272	92	64	scales	scale	NOUN
easat-5272	92	65	.	.	PUNCT
easat-5272	93	1	these	these	DET
easat-5272	93	2	imfs	imfs	NOUN
easat-5272	93	3	are	be	AUX
easat-5272	93	4	first	first	ADV
easat-5272	93	5	used	use	VERB
easat-5272	93	6	as	as	ADP
easat-5272	93	7	inputs	input	NOUN
easat-5272	93	8	to	to	ADP
easat-5272	93	9	the	the	DET
easat-5272	93	10	1d	1d	NUM
easat-5272	93	11	-	-	PUNCT
easat-5272	93	12	cnn	cnn	NOUN
easat-5272	93	13	for	for	ADP
easat-5272	93	14	convolutional	convolutional	ADJ
easat-5272	93	15	operations	operation	NOUN
easat-5272	93	16	to	to	PART
easat-5272	93	17	capture	capture	VERB
easat-5272	93	18	fault	fault	NOUN
easat-5272	93	19	-	-	PUNCT
easat-5272	93	20	related	relate	VERB
easat-5272	93	21	features	feature	NOUN
easat-5272	93	22	in	in	ADP
easat-5272	93	23	different	different	ADJ
easat-5272	93	24	frequency	frequency	NOUN
easat-5272	93	25	bands	band	NOUN
easat-5272	93	26	sequentially	sequentially	ADV
easat-5272	93	27	,	,	PUNCT
easat-5272	93	28	and	and	CCONJ
easat-5272	93	29	then	then	ADV
easat-5272	93	30	the	the	DET
easat-5272	93	31	computational	computational	ADJ
easat-5272	93	32	results	result	NOUN
easat-5272	93	33	within	within	ADP
easat-5272	93	34	each	each	DET
easat-5272	93	35	channel	channel	NOUN
easat-5272	93	36	are	be	AUX
easat-5272	93	37	summed	sum	VERB
easat-5272	93	38	to	to	PART
easat-5272	93	39	obtain	obtain	VERB
easat-5272	93	40	the	the	DET
easat-5272	93	41	fusion	fusion	NOUN
easat-5272	93	42	results	result	NOUN
easat-5272	93	43	of	of	ADP
easat-5272	93	44	each	each	DET
easat-5272	93	45	channel	channel	NOUN
easat-5272	93	46	.	.	PUNCT
easat-5272	94	1	this	this	DET
easat-5272	94	2	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	94	3	method	method	NOUN
easat-5272	94	4	integrates	integrate	VERB
easat-5272	94	5	the	the	DET
easat-5272	94	6	multi	multi	ADJ
easat-5272	94	7	-	-	ADJ
easat-5272	94	8	frequency	frequency	ADJ
easat-5272	94	9	feature	feature	NOUN
easat-5272	94	10	extraction	extraction	NOUN
easat-5272	94	11	capability	capability	NOUN
easat-5272	94	12	of	of	ADP
easat-5272	94	13	emd	emd	PROPN
easat-5272	94	14	with	with	ADP
easat-5272	94	15	the	the	DET
easat-5272	94	16	hierarchical	hierarchical	ADJ
easat-5272	94	17	learning	learning	NOUN
easat-5272	94	18	capability	capability	NOUN
easat-5272	94	19	of	of	ADP
easat-5272	94	20	1d	1d	NUM
easat-5272	94	21	-	-	PUNCT
easat-5272	94	22	cnn	cnn	NOUN
easat-5272	94	23	to	to	PART
easat-5272	94	24	enhance	enhance	VERB
easat-5272	94	25	its	its	PRON
easat-5272	94	26	fault	fault	NOUN
easat-5272	94	27	classification	classification	NOUN
easat-5272	94	28	capability	capability	NOUN
easat-5272	94	29	[	[	X
easat-5272	94	30	27	27	NUM
easat-5272	94	31	]	]	PUNCT
easat-5272	94	32	.	.	PUNCT
easat-5272	95	1	638	638	NUM
easat-5272	95	2	edelweiss	edelweiss	PROPN
easat-5272	95	3	applied	apply	VERB
easat-5272	95	4	science	science	NOUN
easat-5272	95	5	and	and	CCONJ
easat-5272	95	6	technology	technology	NOUN
easat-5272	95	7	issn	issn	PROPN
easat-5272	95	8	:	:	PUNCT
easat-5272	95	9	2576	2576	NUM
easat-5272	95	10	-	-	SYM
easat-5272	95	11	8484	8484	NUM
easat-5272	95	12	vol	vol	NOUN
easat-5272	95	13	.	.	PROPN
easat-5272	96	1	9	9	NUM
easat-5272	96	2	,	,	PUNCT
easat-5272	96	3	no	no	INTJ
easat-5272	96	4	.	.	NOUN
easat-5272	97	1	3	3	NUM
easat-5272	97	2	:	:	PUNCT
easat-5272	97	3	633	633	NUM
easat-5272	97	4	-	-	SYM
easat-5272	97	5	650	650	NUM
easat-5272	97	6	,	,	PUNCT
easat-5272	97	7	2025	2025	NUM
easat-5272	97	8	doi	doi	NOUN
easat-5272	97	9	:	:	PUNCT
easat-5272	97	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	97	11	©	©	PROPN
easat-5272	97	12	2025	2025	NUM
easat-5272	97	13	by	by	ADP
easat-5272	97	14	the	the	DET
easat-5272	97	15	authors	author	NOUN
easat-5272	97	16	;	;	PUNCT
easat-5272	97	17	licensee	licensee	PROPN
easat-5272	97	18	learning	learning	NOUN
easat-5272	97	19	gate	gate	VERB
easat-5272	97	20	the	the	DET
easat-5272	97	21	process	process	NOUN
easat-5272	97	22	of	of	ADP
easat-5272	97	23	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	97	24	is	be	AUX
easat-5272	97	25	illustrated	illustrate	VERB
easat-5272	97	26	in	in	ADP
easat-5272	97	27	figure	figure	NOUN
easat-5272	97	28	3	3	NUM
easat-5272	97	29	,	,	PUNCT
easat-5272	97	30	where	where	SCONJ
easat-5272	97	31	convolutional	convolutional	ADJ
easat-5272	97	32	operations	operation	NOUN
easat-5272	97	33	are	be	AUX
easat-5272	97	34	employed	employ	VERB
easat-5272	97	35	to	to	PART
easat-5272	97	36	extract	extract	VERB
easat-5272	97	37	hierarchical	hierarchical	ADJ
easat-5272	97	38	features	feature	NOUN
easat-5272	97	39	from	from	ADP
easat-5272	97	40	the	the	DET
easat-5272	97	41	imfs	imfs	NOUN
easat-5272	97	42	.	.	PUNCT
easat-5272	98	1	figure	figure	VERB
easat-5272	98	2	3	3	NUM
easat-5272	98	3	.	.	PUNCT
easat-5272	99	1	the	the	DET
easat-5272	99	2	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	99	3	process	process	NOUN
easat-5272	99	4	and	and	CCONJ
easat-5272	99	5	convolutional	convolutional	ADJ
easat-5272	99	6	operations	operation	NOUN
easat-5272	99	7	.	.	PUNCT
easat-5272	100	1	3.3	3.3	NUM
easat-5272	100	2	.	.	PUNCT
easat-5272	101	1	the	the	DET
easat-5272	101	2	proposed	propose	VERB
easat-5272	101	3	tl	tl	PROPN
easat-5272	101	4	-	-	PUNCT
easat-5272	101	5	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	101	6	framework	framework	NOUN
easat-5272	101	7	the	the	DET
easat-5272	101	8	overall	overall	ADJ
easat-5272	101	9	framework	framework	NOUN
easat-5272	101	10	of	of	ADP
easat-5272	101	11	the	the	DET
easat-5272	101	12	constructed	construct	VERB
easat-5272	101	13	elevator	elevator	NOUN
easat-5272	101	14	guideway	guideway	NOUN
easat-5272	101	15	fault	fault	NOUN
easat-5272	101	16	diagnosis	diagnosis	NOUN
easat-5272	101	17	method	method	NOUN
easat-5272	101	18	(	(	PUNCT
easat-5272	101	19	tl	tl	PROPN
easat-5272	101	20	-	-	PUNCT
easat-5272	101	21	mc1dcnn	mc1dcnn	PROPN
easat-5272	101	22	)	)	PUNCT
easat-5272	101	23	is	be	AUX
easat-5272	101	24	depicted	depict	VERB
easat-5272	101	25	in	in	ADP
easat-5272	101	26	figure	figure	NOUN
easat-5272	101	27	4	4	NUM
easat-5272	101	28	,	,	PUNCT
easat-5272	101	29	which	which	PRON
easat-5272	101	30	integrates	integrate	VERB
easat-5272	101	31	emd	emd	PROPN
easat-5272	101	32	,	,	PUNCT
easat-5272	101	33	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	101	34	,	,	PUNCT
easat-5272	101	35	and	and	CCONJ
easat-5272	101	36	tl	tl	PROPN
easat-5272	101	37	to	to	PART
easat-5272	101	38	tackle	tackle	VERB
easat-5272	101	39	the	the	DET
easat-5272	101	40	challenges	challenge	NOUN
easat-5272	101	41	of	of	ADP
easat-5272	101	42	limited	limited	ADJ
easat-5272	101	43	labeled	label	VERB
easat-5272	101	44	data	datum	NOUN
easat-5272	101	45	in	in	ADP
easat-5272	101	46	elevator	elevator	NOUN
easat-5272	101	47	guideway	guideway	NOUN
easat-5272	101	48	fault	fault	NOUN
easat-5272	101	49	diagnosis	diagnosis	NOUN
easat-5272	101	50	.	.	PUNCT
easat-5272	102	1	639	639	NUM
easat-5272	102	2	edelweiss	edelweiss	PROPN
easat-5272	102	3	applied	apply	VERB
easat-5272	102	4	science	science	NOUN
easat-5272	102	5	and	and	CCONJ
easat-5272	102	6	technology	technology	NOUN
easat-5272	102	7	issn	issn	PROPN
easat-5272	102	8	:	:	PUNCT
easat-5272	102	9	2576	2576	NUM
easat-5272	102	10	-	-	SYM
easat-5272	102	11	8484	8484	NUM
easat-5272	102	12	vol	vol	NOUN
easat-5272	102	13	.	.	PROPN
easat-5272	103	1	9	9	NUM
easat-5272	103	2	,	,	PUNCT
easat-5272	103	3	no	no	INTJ
easat-5272	103	4	.	.	NOUN
easat-5272	104	1	3	3	NUM
easat-5272	104	2	:	:	PUNCT
easat-5272	104	3	633	633	NUM
easat-5272	104	4	-	-	SYM
easat-5272	104	5	650	650	NUM
easat-5272	104	6	,	,	PUNCT
easat-5272	104	7	2025	2025	NUM
easat-5272	104	8	doi	doi	NOUN
easat-5272	104	9	:	:	PUNCT
easat-5272	104	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	104	11	©	©	PROPN
easat-5272	104	12	2025	2025	NUM
easat-5272	104	13	by	by	ADP
easat-5272	104	14	the	the	DET
easat-5272	104	15	authors	author	NOUN
easat-5272	104	16	;	;	PUNCT
easat-5272	104	17	licensee	licensee	PROPN
easat-5272	104	18	learning	learn	VERB
easat-5272	104	19	gate	gate	NOUN
easat-5272	104	20	figure	figure	NOUN
easat-5272	104	21	4	4	NUM
easat-5272	104	22	.	.	PUNCT
easat-5272	105	1	the	the	DET
easat-5272	105	2	proposed	propose	VERB
easat-5272	105	3	tl	tl	PROPN
easat-5272	105	4	-	-	PUNCT
easat-5272	105	5	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	105	6	framework	framework	NOUN
easat-5272	105	7	3.4	3.4	NUM
easat-5272	105	8	.	.	PUNCT
easat-5272	106	1	data	datum	NOUN
easat-5272	106	2	processing	process	VERB
easat-5272	106	3	the	the	DET
easat-5272	106	4	dataset	dataset	NOUN
easat-5272	106	5	includes	include	VERB
easat-5272	106	6	the	the	DET
easat-5272	106	7	case	case	NOUN
easat-5272	106	8	western	western	PROPN
easat-5272	106	9	reserve	reserve	PROPN
easat-5272	106	10	university	university	PROPN
easat-5272	106	11	(	(	PUNCT
easat-5272	106	12	cwru	cwru	PROPN
easat-5272	106	13	)	)	PUNCT
easat-5272	106	14	bearing	bear	VERB
easat-5272	106	15	fault	fault	NOUN
easat-5272	106	16	dataset	dataset	NOUN
easat-5272	106	17	(	(	PUNCT
easat-5272	106	18	source	source	NOUN
easat-5272	106	19	domain	domain	NOUN
easat-5272	106	20	)	)	PUNCT
easat-5272	106	21	and	and	CCONJ
easat-5272	106	22	the	the	DET
easat-5272	106	23	elevator	elevator	NOUN
easat-5272	106	24	guideway	guideway	NOUN
easat-5272	106	25	vibration	vibration	NOUN
easat-5272	106	26	dataset	dataset	NOUN
easat-5272	106	27	(	(	PUNCT
easat-5272	106	28	target	target	NOUN
easat-5272	106	29	domain	domain	NOUN
easat-5272	106	30	)	)	PUNCT
easat-5272	106	31	.	.	PUNCT
easat-5272	107	1	both	both	DET
easat-5272	107	2	datasets	dataset	NOUN
easat-5272	107	3	are	be	AUX
easat-5272	107	4	normalized	normalize	VERB
easat-5272	107	5	[	[	X
easat-5272	107	6	28	28	NUM
easat-5272	107	7	]	]	PUNCT
easat-5272	107	8	to	to	ADP
easat-5272	107	9	a	a	DET
easat-5272	107	10	range	range	NOUN
easat-5272	107	11	of	of	ADP
easat-5272	107	12	[	[	X
easat-5272	107	13	0	0	NUM
easat-5272	107	14	,	,	PUNCT
easat-5272	107	15	1	1	NUM
easat-5272	107	16	]	]	PUNCT
easat-5272	107	17	to	to	PART
easat-5272	107	18	eliminate	eliminate	VERB
easat-5272	107	19	the	the	DET
easat-5272	107	20	influence	influence	NOUN
easat-5272	107	21	of	of	ADP
easat-5272	107	22	amplitude	amplitude	NOUN
easat-5272	107	23	variations	variation	NOUN
easat-5272	107	24	,	,	PUNCT
easat-5272	107	25	and	and	CCONJ
easat-5272	107	26	processed	process	VERB
easat-5272	107	27	using	use	VERB
easat-5272	107	28	emd	emd	PROPN
easat-5272	107	29	to	to	PART
easat-5272	107	30	decompose	decompose	VERB
easat-5272	107	31	the	the	DET
easat-5272	107	32	vibration	vibration	NOUN
easat-5272	107	33	signals	signal	NOUN
easat-5272	107	34	into	into	ADP
easat-5272	107	35	imfs	imfs	PROPN
easat-5272	107	36	.	.	PUNCT
easat-5272	108	1	the	the	DET
easat-5272	108	2	first	first	ADJ
easat-5272	108	3	five	five	NUM
easat-5272	108	4	imfs	imfs	NOUN
easat-5272	108	5	,	,	PUNCT
easat-5272	108	6	containing	contain	VERB
easat-5272	108	7	the	the	DET
easat-5272	108	8	most	most	ADV
easat-5272	108	9	relevant	relevant	ADJ
easat-5272	108	10	faultrelated	faultrelate	VERB
easat-5272	108	11	frequency	frequency	NOUN
easat-5272	108	12	components	component	NOUN
easat-5272	108	13	,	,	PUNCT
easat-5272	108	14	were	be	AUX
easat-5272	108	15	selected	select	VERB
easat-5272	108	16	as	as	ADP
easat-5272	108	17	multi	multi	ADJ
easat-5272	108	18	-	-	ADJ
easat-5272	108	19	channel	channel	ADJ
easat-5272	108	20	inputs	input	NOUN
easat-5272	108	21	for	for	ADP
easat-5272	108	22	the	the	DET
easat-5272	108	23	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	108	24	model	model	NOUN
easat-5272	108	25	,	,	PUNCT
easat-5272	108	26	enabling	enable	VERB
easat-5272	108	27	the	the	DET
easat-5272	108	28	extraction	extraction	NOUN
easat-5272	108	29	of	of	ADP
easat-5272	108	30	multi	multi	ADJ
easat-5272	108	31	-	-	ADJ
easat-5272	108	32	scale	scale	ADJ
easat-5272	108	33	features	feature	NOUN
easat-5272	108	34	critical	critical	ADJ
easat-5272	108	35	for	for	ADP
easat-5272	108	36	fault	fault	NOUN
easat-5272	108	37	classification	classification	NOUN
easat-5272	108	38	.	.	PUNCT
easat-5272	109	1	3.5	3.5	NUM
easat-5272	109	2	.	.	PUNCT
easat-5272	110	1	source	source	NOUN
easat-5272	110	2	domain	domain	NOUN
easat-5272	110	3	pre	pre	NOUN
easat-5272	111	1	-	-	NOUN
easat-5272	111	2	training	training	NOUN
easat-5272	111	3	after	after	ADP
easat-5272	111	4	the	the	DET
easat-5272	111	5	signal	signal	NOUN
easat-5272	111	6	processing	processing	NOUN
easat-5272	111	7	step	step	NOUN
easat-5272	111	8	,	,	PUNCT
easat-5272	111	9	the	the	DET
easat-5272	111	10	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	111	11	is	be	AUX
easat-5272	111	12	pre	pre	ADJ
easat-5272	111	13	-	-	VERB
easat-5272	111	14	trained	train	VERB
easat-5272	111	15	on	on	ADP
easat-5272	111	16	the	the	DET
easat-5272	111	17	cwru	cwru	NOUN
easat-5272	111	18	dataset	dataset	VERB
easat-5272	111	19	to	to	PART
easat-5272	111	20	learn	learn	VERB
easat-5272	111	21	universal	universal	ADJ
easat-5272	111	22	fault	fault	NOUN
easat-5272	111	23	features	feature	NOUN
easat-5272	111	24	from	from	ADP
easat-5272	111	25	the	the	DET
easat-5272	111	26	sufficient	sufficient	ADJ
easat-5272	111	27	labeled	label	VERB
easat-5272	111	28	data	datum	NOUN
easat-5272	111	29	available	available	ADJ
easat-5272	111	30	in	in	ADP
easat-5272	111	31	the	the	DET
easat-5272	111	32	source	source	NOUN
easat-5272	111	33	domain	domain	NOUN
easat-5272	111	34	.	.	PUNCT
easat-5272	112	1	this	this	DET
easat-5272	112	2	step	step	NOUN
easat-5272	112	3	captures	capture	VERB
easat-5272	112	4	transferable	transferable	ADJ
easat-5272	112	5	knowledge	knowledge	NOUN
easat-5272	112	6	and	and	CCONJ
easat-5272	112	7	establishes	establish	VERB
easat-5272	112	8	a	a	DET
easat-5272	112	9	solid	solid	ADJ
easat-5272	112	10	foundation	foundation	NOUN
easat-5272	112	11	for	for	ADP
easat-5272	112	12	adaptation	adaptation	NOUN
easat-5272	112	13	to	to	ADP
easat-5272	112	14	the	the	DET
easat-5272	112	15	target	target	NOUN
easat-5272	112	16	domain	domain	NOUN
easat-5272	112	17	.	.	PUNCT
easat-5272	113	1	3.6	3.6	NUM
easat-5272	113	2	.	.	PUNCT
easat-5272	114	1	target	target	NOUN
easat-5272	114	2	domain	domain	NOUN
easat-5272	114	3	fine	fine	ADV
easat-5272	114	4	-	-	PUNCT
easat-5272	114	5	tuning	tune	VERB
easat-5272	114	6	the	the	DET
easat-5272	114	7	pre	pre	ADJ
easat-5272	114	8	-	-	ADJ
easat-5272	114	9	trained	train	VERB
easat-5272	114	10	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	114	11	is	be	AUX
easat-5272	114	12	fine	fine	ADV
easat-5272	114	13	-	-	PUNCT
easat-5272	114	14	tuned	tune	VERB
easat-5272	114	15	using	use	VERB
easat-5272	114	16	the	the	DET
easat-5272	114	17	elevator	elevator	NOUN
easat-5272	114	18	guideway	guideway	NOUN
easat-5272	114	19	dataset	dataset	VERB
easat-5272	114	20	to	to	PART
easat-5272	114	21	study	study	VERB
easat-5272	114	22	its	its	PRON
easat-5272	114	23	specific	specific	ADJ
easat-5272	114	24	characteristics	characteristic	NOUN
easat-5272	114	25	.	.	PUNCT
easat-5272	115	1	during	during	ADP
easat-5272	115	2	fine	fine	ADV
easat-5272	115	3	-	-	PUNCT
easat-5272	115	4	tuning	tuning	NOUN
easat-5272	115	5	,	,	PUNCT
easat-5272	115	6	some	some	DET
easat-5272	115	7	lower	low	ADJ
easat-5272	115	8	layers	layer	NOUN
easat-5272	115	9	of	of	ADP
easat-5272	115	10	the	the	DET
easat-5272	115	11	network	network	NOUN
easat-5272	115	12	,	,	PUNCT
easat-5272	115	13	which	which	PRON
easat-5272	115	14	capture	capture	VERB
easat-5272	115	15	generic	generic	ADJ
easat-5272	115	16	features	feature	NOUN
easat-5272	115	17	,	,	PUNCT
easat-5272	115	18	are	be	AUX
easat-5272	115	19	frozen	freeze	VERB
easat-5272	115	20	,	,	PUNCT
easat-5272	115	21	while	while	SCONJ
easat-5272	115	22	the	the	DET
easat-5272	115	23	upper	upper	ADJ
easat-5272	115	24	layers	layer	NOUN
easat-5272	115	25	are	be	AUX
easat-5272	115	26	fine	fine	ADV
easat-5272	115	27	-	-	PUNCT
easat-5272	115	28	tuned	tune	VERB
easat-5272	115	29	to	to	PART
easat-5272	115	30	learn	learn	VERB
easat-5272	115	31	domain	domain	NOUN
easat-5272	115	32	-	-	PUNCT
easat-5272	115	33	specific	specific	ADJ
easat-5272	115	34	features	feature	NOUN
easat-5272	115	35	.	.	PUNCT
easat-5272	116	1	this	this	DET
easat-5272	116	2	transfer	transfer	NOUN
easat-5272	116	3	learning	learn	VERB
easat-5272	116	4	640	640	NUM
easat-5272	116	5	edelweiss	edelweiss	PROPN
easat-5272	116	6	applied	apply	VERB
easat-5272	116	7	science	science	NOUN
easat-5272	116	8	and	and	CCONJ
easat-5272	116	9	technology	technology	NOUN
easat-5272	116	10	issn	issn	PROPN
easat-5272	116	11	:	:	PUNCT
easat-5272	116	12	2576	2576	NUM
easat-5272	116	13	-	-	SYM
easat-5272	116	14	8484	8484	NUM
easat-5272	116	15	vol	vol	NOUN
easat-5272	116	16	.	.	PROPN
easat-5272	117	1	9	9	NUM
easat-5272	117	2	,	,	PUNCT
easat-5272	117	3	no	no	INTJ
easat-5272	117	4	.	.	NOUN
easat-5272	118	1	3	3	NUM
easat-5272	118	2	:	:	PUNCT
easat-5272	118	3	633	633	NUM
easat-5272	118	4	-	-	SYM
easat-5272	118	5	650	650	NUM
easat-5272	118	6	,	,	PUNCT
easat-5272	118	7	2025	2025	NUM
easat-5272	118	8	doi	doi	NOUN
easat-5272	118	9	:	:	PUNCT
easat-5272	118	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	118	11	©	©	PROPN
easat-5272	118	12	2025	2025	NUM
easat-5272	118	13	by	by	ADP
easat-5272	118	14	the	the	DET
easat-5272	118	15	authors	author	NOUN
easat-5272	118	16	;	;	PUNCT
easat-5272	118	17	licensee	licensee	PROPN
easat-5272	118	18	learning	learning	NOUN
easat-5272	118	19	gate	gate	NOUN
easat-5272	118	20	approach	approach	NOUN
easat-5272	118	21	ensures	ensure	VERB
easat-5272	118	22	effective	effective	ADJ
easat-5272	118	23	knowledge	knowledge	NOUN
easat-5272	118	24	adaptation	adaptation	NOUN
easat-5272	118	25	while	while	SCONJ
easat-5272	118	26	preventing	prevent	VERB
easat-5272	118	27	overfitting	overfitting	NOUN
easat-5272	118	28	in	in	ADP
easat-5272	118	29	the	the	DET
easat-5272	118	30	small	small	ADJ
easat-5272	118	31	-	-	PUNCT
easat-5272	118	32	sample	sample	NOUN
easat-5272	118	33	target	target	NOUN
easat-5272	118	34	domain	domain	NOUN
easat-5272	118	35	[	[	X
easat-5272	118	36	29	29	NUM
easat-5272	118	37	]	]	SYM
easat-5272	118	38	.	.	PUNCT
easat-5272	119	1	3.7	3.7	NUM
easat-5272	119	2	.	.	PUNCT
easat-5272	119	3	model	model	NOUN
easat-5272	119	4	validation	validation	NOUN
easat-5272	119	5	after	after	ADP
easat-5272	119	6	fine	fine	ADV
easat-5272	119	7	-	-	PUNCT
easat-5272	119	8	tuning	tuning	NOUN
easat-5272	119	9	,	,	PUNCT
easat-5272	119	10	the	the	DET
easat-5272	119	11	tl	tl	PROPN
easat-5272	119	12	-	-	PUNCT
easat-5272	119	13	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	119	14	is	be	AUX
easat-5272	119	15	measured	measure	VERB
easat-5272	119	16	on	on	ADP
easat-5272	119	17	the	the	DET
easat-5272	119	18	test	test	NOUN
easat-5272	119	19	set	set	NOUN
easat-5272	119	20	of	of	ADP
easat-5272	119	21	the	the	DET
easat-5272	119	22	elevator	elevator	NOUN
easat-5272	119	23	guideway	guideway	NOUN
easat-5272	119	24	dataset	dataset	NOUN
easat-5272	119	25	.	.	PUNCT
easat-5272	120	1	validation	validation	NOUN
easat-5272	120	2	ensures	ensure	VERB
easat-5272	120	3	the	the	DET
easat-5272	120	4	model	model	NOUN
easat-5272	120	5	achieves	achieve	VERB
easat-5272	120	6	stable	stable	ADJ
easat-5272	120	7	convergence	convergence	NOUN
easat-5272	120	8	and	and	CCONJ
easat-5272	120	9	satisfactory	satisfactory	ADJ
easat-5272	120	10	classification	classification	NOUN
easat-5272	120	11	accuracy	accuracy	NOUN
easat-5272	120	12	.	.	PUNCT
easat-5272	121	1	once	once	ADV
easat-5272	121	2	validated	validate	VERB
easat-5272	121	3	,	,	PUNCT
easat-5272	121	4	the	the	DET
easat-5272	121	5	model	model	NOUN
easat-5272	121	6	parameters	parameter	NOUN
easat-5272	121	7	are	be	AUX
easat-5272	121	8	saved	save	VERB
easat-5272	121	9	for	for	ADP
easat-5272	121	10	deployment	deployment	NOUN
easat-5272	121	11	in	in	ADP
easat-5272	121	12	real	real	ADJ
easat-5272	121	13	-	-	PUNCT
easat-5272	121	14	world	world	NOUN
easat-5272	121	15	fault	fault	NOUN
easat-5272	121	16	diagnosis	diagnosis	NOUN
easat-5272	121	17	scenarios	scenario	NOUN
easat-5272	121	18	.	.	PUNCT
easat-5272	122	1	4	4	NUM
easat-5272	122	2	experiments	experiment	NOUN
easat-5272	122	3	and	and	CCONJ
easat-5272	122	4	results	result	VERB
easat-5272	122	5	analysis	analysis	NOUN
easat-5272	122	6	4.1	4.1	NUM
easat-5272	122	7	.	.	PUNCT
easat-5272	123	1	description	description	NOUN
easat-5272	123	2	of	of	ADP
easat-5272	123	3	data	datum	NOUN
easat-5272	123	4	sets	set	VERB
easat-5272	123	5	4.1.1	4.1.1	PROPN
easat-5272	123	6	.	.	PUNCT
easat-5272	124	1	cwru	cwru	PROPN
easat-5272	124	2	dataset	dataset	VERB
easat-5272	124	3	publicly	publicly	ADV
easat-5272	124	4	available	available	ADJ
easat-5272	124	5	,	,	PUNCT
easat-5272	124	6	whose	whose	DET
easat-5272	124	7	bearing	bearing	NOUN
easat-5272	124	8	model	model	NOUN
easat-5272	124	9	is	be	AUX
easat-5272	124	10	skf	skf	PROPN
easat-5272	124	11	6205	6205	NUM
easat-5272	124	12	-	-	PUNCT
easat-5272	124	13	2rs	2rs	ADJ
easat-5272	124	14	(	(	PUNCT
easat-5272	124	15	figure	figure	NOUN
easat-5272	124	16	5	5	NUM
easat-5272	124	17	)	)	PUNCT
easat-5272	124	18	.	.	PUNCT
easat-5272	125	1	for	for	ADP
easat-5272	125	2	the	the	DET
easat-5272	125	3	pre	pre	NOUN
easat-5272	125	4	-	-	NOUN
easat-5272	125	5	training	training	NOUN
easat-5272	125	6	of	of	ADP
easat-5272	125	7	mc1dcnn	mc1dcnn	PROPN
easat-5272	125	8	,	,	PUNCT
easat-5272	125	9	2000	2000	NUM
easat-5272	125	10	samples	sample	NOUN
easat-5272	125	11	(	(	PUNCT
easat-5272	125	12	including	include	VERB
easat-5272	125	13	four	four	NUM
easat-5272	125	14	types	type	NOUN
easat-5272	125	15	:	:	PUNCT
easat-5272	125	16	normal	normal	ADJ
easat-5272	125	17	,	,	PUNCT
easat-5272	125	18	inner	inner	ADJ
easat-5272	125	19	race	race	NOUN
easat-5272	125	20	,	,	PUNCT
easat-5272	125	21	outer	outer	ADJ
easat-5272	125	22	race	race	NOUN
easat-5272	125	23	and	and	CCONJ
easat-5272	125	24	ball	ball	NOUN
easat-5272	125	25	faults	fault	NOUN
easat-5272	125	26	)	)	PUNCT
easat-5272	125	27	are	be	AUX
easat-5272	125	28	randomly	randomly	ADV
easat-5272	125	29	selected	select	VERB
easat-5272	125	30	from	from	ADP
easat-5272	125	31	the	the	DET
easat-5272	125	32	dataset	dataset	NOUN
easat-5272	125	33	with	with	ADP
easat-5272	125	34	a	a	DET
easat-5272	125	35	sampling	sample	VERB
easat-5272	125	36	frequency	frequency	NOUN
easat-5272	125	37	of	of	ADP
easat-5272	125	38	12	12	NUM
easat-5272	125	39	khz	khz	NOUN
easat-5272	125	40	.	.	PUNCT
easat-5272	126	1	the	the	DET
easat-5272	126	2	raw	raw	ADJ
easat-5272	126	3	signals	signal	NOUN
easat-5272	126	4	were	be	AUX
easat-5272	126	5	segmented	segment	VERB
easat-5272	126	6	into	into	ADP
easat-5272	126	7	1024	1024	NUM
easat-5272	126	8	-	-	PUNCT
easat-5272	126	9	point	point	NOUN
easat-5272	126	10	samples	sample	NOUN
easat-5272	126	11	using	use	VERB
easat-5272	126	12	a	a	DET
easat-5272	126	13	sliding	slide	VERB
easat-5272	126	14	window	window	NOUN
easat-5272	126	15	[	[	X
easat-5272	126	16	30	30	NUM
easat-5272	126	17	]	]	PUNCT
easat-5272	126	18	with	with	ADP
easat-5272	126	19	a	a	DET
easat-5272	126	20	50	50	NUM
easat-5272	126	21	%	%	NOUN
easat-5272	126	22	overlap	overlap	NOUN
easat-5272	126	23	,	,	PUNCT
easat-5272	126	24	resulting	result	VERB
easat-5272	126	25	in	in	ADP
easat-5272	126	26	1400	1400	NUM
easat-5272	126	27	samples	sample	NOUN
easat-5272	126	28	per	per	ADP
easat-5272	126	29	category	category	NOUN
easat-5272	126	30	and	and	CCONJ
easat-5272	126	31	altogether	altogether	ADV
easat-5272	126	32	5600	5600	NUM
easat-5272	126	33	samples	sample	NOUN
easat-5272	126	34	.	.	PUNCT
easat-5272	127	1	the	the	DET
easat-5272	127	2	dataset	dataset	NOUN
easat-5272	127	3	was	be	AUX
easat-5272	127	4	partitioned	partition	VERB
easat-5272	127	5	into	into	ADP
easat-5272	127	6	a	a	DET
easat-5272	127	7	training	training	NOUN
easat-5272	127	8	set	set	NOUN
easat-5272	127	9	(	(	PUNCT
easat-5272	127	10	80	80	NUM
easat-5272	127	11	%	%	NOUN
easat-5272	127	12	)	)	PUNCT
easat-5272	127	13	for	for	ADP
easat-5272	127	14	pretraining	pretraine	VERB
easat-5272	127	15	the	the	DET
easat-5272	127	16	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	127	17	model	model	NOUN
easat-5272	127	18	and	and	CCONJ
easat-5272	127	19	a	a	DET
easat-5272	127	20	testing	testing	NOUN
easat-5272	127	21	set	set	NOUN
easat-5272	127	22	(	(	PUNCT
easat-5272	127	23	20	20	NUM
easat-5272	127	24	%	%	NOUN
easat-5272	127	25	)	)	PUNCT
easat-5272	127	26	for	for	ADP
easat-5272	127	27	evaluating	evaluate	VERB
easat-5272	127	28	model	model	NOUN
easat-5272	127	29	performance	performance	NOUN
easat-5272	127	30	in	in	ADP
easat-5272	127	31	the	the	DET
easat-5272	127	32	source	source	NOUN
easat-5272	127	33	domain	domain	NOUN
easat-5272	127	34	[	[	X
easat-5272	127	35	31	31	NUM
easat-5272	127	36	]	]	PUNCT
easat-5272	127	37	.	.	PUNCT
easat-5272	128	1	figure	figure	NOUN
easat-5272	128	2	5	5	NUM
easat-5272	128	3	.	.	PUNCT
easat-5272	128	4	test	test	NOUN
easat-5272	128	5	stand	stand	NOUN
easat-5272	128	6	of	of	ADP
easat-5272	128	7	cwru	cwru	NOUN
easat-5272	128	8	bearing	bear	VERB
easat-5272	128	9	dataset	dataset	NOUN
easat-5272	128	10	.	.	PUNCT
easat-5272	129	1	figure	figure	NOUN
easat-5272	129	2	6	6	NUM
easat-5272	129	3	.	.	PUNCT
easat-5272	130	1	sensor	sensor	NOUN
easat-5272	130	2	mounted	mount	VERB
easat-5272	130	3	on	on	ADP
easat-5272	130	4	the	the	DET
easat-5272	130	5	elevator	elevator	NOUN
easat-5272	130	6	car	car	NOUN
easat-5272	130	7	.	.	PUNCT
easat-5272	131	1	641	641	NUM
easat-5272	131	2	edelweiss	edelweiss	PROPN
easat-5272	131	3	applied	apply	VERB
easat-5272	131	4	science	science	NOUN
easat-5272	131	5	and	and	CCONJ
easat-5272	131	6	technology	technology	NOUN
easat-5272	131	7	issn	issn	PROPN
easat-5272	131	8	:	:	PUNCT
easat-5272	131	9	2576	2576	NUM
easat-5272	131	10	-	-	SYM
easat-5272	131	11	8484	8484	NUM
easat-5272	131	12	vol	vol	NOUN
easat-5272	131	13	.	.	PROPN
easat-5272	132	1	9	9	NUM
easat-5272	132	2	,	,	PUNCT
easat-5272	132	3	no	no	INTJ
easat-5272	132	4	.	.	NOUN
easat-5272	133	1	3	3	NUM
easat-5272	133	2	:	:	PUNCT
easat-5272	133	3	633	633	NUM
easat-5272	133	4	-	-	SYM
easat-5272	133	5	650	650	NUM
easat-5272	133	6	,	,	PUNCT
easat-5272	133	7	2025	2025	NUM
easat-5272	133	8	doi	doi	NOUN
easat-5272	133	9	:	:	PUNCT
easat-5272	133	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	133	11	©	©	PROPN
easat-5272	133	12	2025	2025	NUM
easat-5272	133	13	by	by	ADP
easat-5272	133	14	the	the	DET
easat-5272	133	15	authors	author	NOUN
easat-5272	133	16	;	;	PUNCT
easat-5272	133	17	licensee	licensee	PROPN
easat-5272	133	18	learning	learning	NOUN
easat-5272	133	19	gate	gate	VERB
easat-5272	133	20	4.2	4.2	NUM
easat-5272	133	21	.	.	PUNCT
easat-5272	134	1	elevator	elevator	NOUN
easat-5272	134	2	guideway	guideway	NOUN
easat-5272	134	3	dataset	dataset	VERB
easat-5272	134	4	vibration	vibration	NOUN
easat-5272	134	5	signals	signal	NOUN
easat-5272	134	6	from	from	ADP
easat-5272	134	7	the	the	DET
easat-5272	134	8	elevator	elevator	NOUN
easat-5272	134	9	guideway	guideway	NOUN
easat-5272	134	10	dataset	dataset	NOUN
easat-5272	134	11	were	be	AUX
easat-5272	134	12	acquired	acquire	VERB
easat-5272	134	13	from	from	ADP
easat-5272	134	14	a	a	DET
easat-5272	134	15	corporation	corporation	NOUN
easat-5272	134	16	's	's	PART
easat-5272	134	17	elevator	elevator	NOUN
easat-5272	134	18	iot	iot	NOUN
easat-5272	134	19	platform	platform	NOUN
easat-5272	134	20	,	,	PUNCT
easat-5272	134	21	using	use	VERB
easat-5272	134	22	a	a	DET
easat-5272	134	23	tri	tri	ADJ
easat-5272	134	24	-	-	ADJ
easat-5272	134	25	axial	axial	ADJ
easat-5272	134	26	acceleration	acceleration	NOUN
easat-5272	134	27	sensor	sensor	NOUN
easat-5272	134	28	mounted	mount	VERB
easat-5272	134	29	at	at	ADP
easat-5272	134	30	the	the	DET
easat-5272	134	31	top	top	ADJ
easat-5272	134	32	center	center	NOUN
easat-5272	134	33	of	of	ADP
easat-5272	134	34	the	the	DET
easat-5272	134	35	elevator	elevator	NOUN
easat-5272	134	36	car	car	NOUN
easat-5272	134	37	(	(	PUNCT
easat-5272	134	38	figure	figure	NOUN
easat-5272	134	39	6	6	NUM
easat-5272	134	40	)	)	PUNCT
easat-5272	134	41	,	,	PUNCT
easat-5272	134	42	recorded	record	VERB
easat-5272	134	43	at	at	ADP
easat-5272	134	44	a	a	DET
easat-5272	134	45	sampling	sample	VERB
easat-5272	134	46	frequency	frequency	NOUN
easat-5272	134	47	of	of	ADP
easat-5272	134	48	50	50	NUM
easat-5272	134	49	hz	hz	NOUN
easat-5272	134	50	.	.	PUNCT
easat-5272	135	1	the	the	DET
easat-5272	135	2	dataset	dataset	NOUN
easat-5272	135	3	comprises	comprise	VERB
easat-5272	135	4	four	four	NUM
easat-5272	135	5	fault	fault	NOUN
easat-5272	135	6	categories	category	NOUN
easat-5272	135	7	:	:	PUNCT
easat-5272	135	8	normal	normal	ADJ
easat-5272	135	9	,	,	PUNCT
easat-5272	135	10	bending	bending	NOUN
easat-5272	135	11	,	,	PUNCT
easat-5272	135	12	misalignment	misalignment	NOUN
easat-5272	135	13	,	,	PUNCT
easat-5272	135	14	and	and	CCONJ
easat-5272	135	15	step	step	NOUN
easat-5272	135	16	faults	fault	NOUN
easat-5272	135	17	.	.	PUNCT
easat-5272	136	1	after	after	ADP
easat-5272	136	2	segmentation	segmentation	NOUN
easat-5272	136	3	using	use	VERB
easat-5272	136	4	the	the	DET
easat-5272	136	5	same	same	ADJ
easat-5272	136	6	sliding	slide	VERB
easat-5272	136	7	window	window	NOUN
easat-5272	136	8	method	method	NOUN
easat-5272	136	9	as	as	ADP
easat-5272	136	10	the	the	DET
easat-5272	136	11	cwru	cwru	PROPN
easat-5272	136	12	dataset	dataset	NOUN
easat-5272	136	13	,	,	PUNCT
easat-5272	136	14	300	300	NUM
easat-5272	136	15	samples	sample	NOUN
easat-5272	136	16	per	per	ADP
easat-5272	136	17	category	category	NOUN
easat-5272	136	18	were	be	AUX
easat-5272	136	19	obtained	obtain	VERB
easat-5272	136	20	,	,	PUNCT
easat-5272	136	21	yielding	yield	VERB
easat-5272	136	22	a	a	DET
easat-5272	136	23	total	total	NOUN
easat-5272	136	24	of	of	ADP
easat-5272	136	25	1200	1200	NUM
easat-5272	136	26	samples	sample	NOUN
easat-5272	136	27	.	.	PUNCT
easat-5272	137	1	the	the	DET
easat-5272	137	2	dataset	dataset	NOUN
easat-5272	137	3	was	be	AUX
easat-5272	137	4	also	also	ADV
easat-5272	137	5	partitioned	partition	VERB
easat-5272	137	6	into	into	ADP
easat-5272	137	7	training	training	NOUN
easat-5272	137	8	and	and	CCONJ
easat-5272	137	9	testing	testing	NOUN
easat-5272	137	10	subsets	subset	NOUN
easat-5272	137	11	with	with	ADP
easat-5272	137	12	an	an	DET
easat-5272	137	13	8:2	8:2	NUM
easat-5272	137	14	ratio	ratio	NOUN
easat-5272	137	15	for	for	ADP
easat-5272	137	16	fine	fine	ADV
easat-5272	137	17	-	-	PUNCT
easat-5272	137	18	tuning	tuning	NOUN
easat-5272	137	19	and	and	CCONJ
easat-5272	137	20	evaluation	evaluation	NOUN
easat-5272	137	21	(	(	PUNCT
easat-5272	137	22	detailed	detail	VERB
easat-5272	137	23	in	in	ADP
easat-5272	137	24	table	table	NOUN
easat-5272	137	25	1	1	NUM
easat-5272	137	26	)	)	PUNCT
easat-5272	137	27	.	.	PUNCT
easat-5272	138	1	table	table	NOUN
easat-5272	138	2	1	1	NUM
easat-5272	138	3	.	.	PUNCT
easat-5272	138	4	dataset	dataset	NOUN
easat-5272	138	5	list	list	NOUN
easat-5272	138	6	.	.	PUNCT
easat-5272	139	1	data	datum	NOUN
easat-5272	139	2	set	set	VERB
easat-5272	139	3	category	category	NOUN
easat-5272	139	4	label	label	NOUN
easat-5272	139	5	train	train	NOUN
easat-5272	139	6	sample	sample	NOUN
easat-5272	139	7	test	test	NOUN
easat-5272	139	8	sample	sample	NOUN
easat-5272	139	9	source	source	NOUN
easat-5272	139	10	domain	domain	NOUN
easat-5272	139	11	(	(	PUNCT
easat-5272	139	12	pre	pre	ADJ
easat-5272	139	13	-	-	ADJ
easat-5272	139	14	train	train	ADJ
easat-5272	139	15	)	)	PUNCT
easat-5272	139	16	cwru	cwru	NOUN
easat-5272	139	17	bearing	bear	VERB
easat-5272	139	18	normal	normal	ADJ
easat-5272	139	19	0	0	NUM
easat-5272	139	20	1120	1120	NUM
easat-5272	139	21	280	280	NUM
easat-5272	139	22	ball	ball	NOUN
easat-5272	139	23	fault	fault	NOUN
easat-5272	139	24	1	1	NUM
easat-5272	139	25	1120	1120	NUM
easat-5272	139	26	280	280	NUM
easat-5272	139	27	inner	inner	ADJ
easat-5272	139	28	fault	fault	NOUN
easat-5272	139	29	2	2	NUM
easat-5272	139	30	1120	1120	NUM
easat-5272	139	31	280	280	NUM
easat-5272	139	32	outer	outer	ADJ
easat-5272	139	33	fault	fault	NOUN
easat-5272	139	34	3	3	NUM
easat-5272	139	35	1120	1120	NUM
easat-5272	139	36	280	280	NUM
easat-5272	139	37	target	target	NOUN
easat-5272	139	38	domain	domain	NOUN
easat-5272	139	39	elevator	elevator	NOUN
easat-5272	139	40	guideway	guideway	NOUN
easat-5272	139	41	normal	normal	ADJ
easat-5272	139	42	0	0	NUM
easat-5272	139	43	240	240	NUM
easat-5272	139	44	60	60	NUM
easat-5272	139	45	bending	bend	VERB
easat-5272	139	46	1	1	NUM
easat-5272	139	47	240	240	NUM
easat-5272	139	48	60	60	NUM
easat-5272	139	49	misalignment	misalignment	NOUN
easat-5272	139	50	2	2	NUM
easat-5272	139	51	240	240	NUM
easat-5272	139	52	60	60	NUM
easat-5272	139	53	step	step	NOUN
easat-5272	139	54	3	3	NUM
easat-5272	139	55	240	240	NUM
easat-5272	139	56	60	60	NUM
easat-5272	139	57	4.3	4.3	NUM
easat-5272	139	58	.	.	PUNCT
easat-5272	140	1	experimental	experimental	ADJ
easat-5272	140	2	settings	setting	NOUN
easat-5272	140	3	and	and	CCONJ
easat-5272	140	4	model	model	NOUN
easat-5272	140	5	training	train	VERB
easat-5272	140	6	the	the	DET
easat-5272	140	7	experiments	experiment	NOUN
easat-5272	140	8	were	be	AUX
easat-5272	140	9	performed	perform	VERB
easat-5272	140	10	in	in	ADP
easat-5272	140	11	a	a	DET
easat-5272	140	12	computing	compute	VERB
easat-5272	140	13	environment	environment	NOUN
easat-5272	140	14	equipped	equip	VERB
easat-5272	140	15	with	with	ADP
easat-5272	140	16	a	a	DET
easat-5272	140	17	64	64	NUM
easat-5272	140	18	-	-	PUNCT
easat-5272	140	19	bit	bit	NOUN
easat-5272	140	20	windows	window	NOUN
easat-5272	140	21	11	11	NUM
easat-5272	140	22	system	system	NOUN
easat-5272	140	23	,	,	PUNCT
easat-5272	140	24	32	32	NUM
easat-5272	140	25	gb	gb	NOUN
easat-5272	140	26	ram	ram	NOUN
easat-5272	140	27	,	,	PUNCT
easat-5272	140	28	an	an	DET
easat-5272	140	29	intel	intel	PROPN
easat-5272	140	30	core	core	NOUN
easat-5272	140	31	i7	i7	NOUN
easat-5272	140	32	-	-	PUNCT
easat-5272	140	33	12700k	12700k	NUM
easat-5272	140	34	cpu	cpu	NOUN
easat-5272	140	35	,	,	PUNCT
easat-5272	140	36	and	and	CCONJ
easat-5272	140	37	an	an	DET
easat-5272	140	38	nvidia	nvidia	PROPN
easat-5272	140	39	geforce	geforce	NOUN
easat-5272	140	40	rtx	rtx	PROPN
easat-5272	140	41	3080	3080	NUM
easat-5272	140	42	gpu	gpu	PROPN
easat-5272	140	43	.	.	PROPN
easat-5272	140	44	python	python	PROPN
easat-5272	140	45	3.9	3.9	NUM
easat-5272	140	46	and	and	CCONJ
easat-5272	140	47	the	the	DET
easat-5272	140	48	pytorch	pytorch	NOUN
easat-5272	140	49	1.0	1.0	NUM
easat-5272	140	50	deep	deep	ADJ
easat-5272	140	51	learning	learning	NOUN
easat-5272	140	52	framework	framework	NOUN
easat-5272	140	53	were	be	AUX
easat-5272	140	54	used	use	VERB
easat-5272	140	55	for	for	ADP
easat-5272	140	56	implementation	implementation	NOUN
easat-5272	140	57	.	.	PUNCT
easat-5272	141	1	table	table	NOUN
easat-5272	141	2	2	2	NUM
easat-5272	141	3	.	.	PUNCT
easat-5272	142	1	parameters	parameter	NOUN
easat-5272	142	2	of	of	ADP
easat-5272	142	3	basic	basic	ADJ
easat-5272	142	4	1d	1d	NUM
easat-5272	142	5	-	-	PUNCT
easat-5272	142	6	cnn	cnn	PROPN
easat-5272	142	7	.	.	PUNCT
easat-5272	143	1	network	network	NOUN
easat-5272	143	2	layer	layer	NOUN
easat-5272	143	3	parameter	parameter	NOUN
easat-5272	143	4	structure	structure	NOUN
easat-5272	143	5	input	input	NOUN
easat-5272	143	6	channel	channel	NOUN
easat-5272	143	7	*	*	PUNCT
easat-5272	143	8	5	5	NUM
easat-5272	143	9	1024×1	1024×1	NUM
easat-5272	143	10	convolutional	convolutional	ADJ
easat-5272	143	11	layer	layer	NOUN
easat-5272	143	12	1	1	NUM
easat-5272	143	13	50@64×1	50@64×1	NUM
easat-5272	143	14	pooling	pool	VERB
easat-5272	143	15	layer	layer	NOUN
easat-5272	143	16	max	max	PROPN
easat-5272	143	17	pooling	pooling	NOUN
easat-5272	143	18	(	(	PUNCT
easat-5272	143	19	3×1	3×1	NUM
easat-5272	143	20	)	)	PUNCT
easat-5272	143	21	convolutional	convolutional	ADJ
easat-5272	143	22	layer	layer	NOUN
easat-5272	143	23	2	2	NUM
easat-5272	143	24	100@3×1	100@3×1	NUM
easat-5272	143	25	pooling	pool	VERB
easat-5272	143	26	layer	layer	NOUN
easat-5272	143	27	max	max	PROPN
easat-5272	143	28	pooling	pooling	NOUN
easat-5272	143	29	(	(	PUNCT
easat-5272	143	30	3×1	3×1	NUM
easat-5272	143	31	)	)	PUNCT
easat-5272	143	32	convolutional	convolutional	ADJ
easat-5272	143	33	layer	layer	NOUN
easat-5272	143	34	3	3	NUM
easat-5272	143	35	160@3×1	160@3×1	NUM
easat-5272	143	36	pooling	pool	VERB
easat-5272	143	37	layer	layer	NOUN
easat-5272	143	38	max	max	PROPN
easat-5272	143	39	pooling	pooling	NOUN
easat-5272	143	40	(	(	PUNCT
easat-5272	143	41	3×1	3×1	NUM
easat-5272	143	42	)	)	PUNCT
easat-5272	143	43	convolutional	convolutional	ADJ
easat-5272	143	44	layer	layer	NOUN
easat-5272	143	45	4	4	NUM
easat-5272	143	46	160@3×1	160@3×1	NUM
easat-5272	143	47	pooling	pool	VERB
easat-5272	143	48	layer	layer	NOUN
easat-5272	143	49	max	max	PROPN
easat-5272	143	50	pooling	pooling	NOUN
easat-5272	143	51	(	(	PUNCT
easat-5272	143	52	3×1	3×1	NUM
easat-5272	143	53	)	)	PUNCT
easat-5272	143	54	dropout	dropout	NOUN
easat-5272	143	55	layer	layer	NOUN
easat-5272	143	56	0.5	0.5	NUM
easat-5272	143	57	full	full	ADJ
easat-5272	143	58	connectivity	connectivity	NOUN
easat-5272	143	59	layer	layer	NOUN
easat-5272	143	60	4	4	NUM
easat-5272	143	61	activation	activation	NOUN
easat-5272	143	62	layer	layer	NOUN
easat-5272	143	63	softmax	softmax	NOUN
easat-5272	143	64	the	the	DET
easat-5272	143	65	constructed	constructed	ADJ
easat-5272	143	66	tl	tl	PROPN
easat-5272	143	67	-	-	PUNCT
easat-5272	143	68	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	143	69	consists	consist	VERB
easat-5272	143	70	of	of	ADP
easat-5272	143	71	five	five	NUM
easat-5272	143	72	input	input	NOUN
easat-5272	143	73	channels	channel	NOUN
easat-5272	143	74	corresponding	correspond	VERB
easat-5272	143	75	to	to	ADP
easat-5272	143	76	the	the	DET
easat-5272	143	77	first	first	ADJ
easat-5272	143	78	five	five	NUM
easat-5272	143	79	imfs	imfs	NOUN
easat-5272	143	80	decomposed	decompose	VERB
easat-5272	143	81	from	from	ADP
easat-5272	143	82	vibration	vibration	NOUN
easat-5272	143	83	signals	signal	NOUN
easat-5272	143	84	.	.	PUNCT
easat-5272	144	1	the	the	DET
easat-5272	144	2	basic	basic	ADJ
easat-5272	144	3	1d	1d	NUM
easat-5272	144	4	-	-	PUNCT
easat-5272	144	5	cnn	cnn	PROPN
easat-5272	144	6	(	(	PUNCT
easat-5272	144	7	detailed	detail	VERB
easat-5272	144	8	in	in	ADP
easat-5272	144	9	table	table	NOUN
easat-5272	144	10	2	2	NUM
easat-5272	144	11	)	)	PUNCT
easat-5272	144	12	comprises	comprise	VERB
easat-5272	144	13	four	four	NUM
easat-5272	144	14	convolutional	convolutional	ADJ
easat-5272	144	15	layers	layer	NOUN
easat-5272	144	16	,	,	PUNCT
easat-5272	144	17	each	each	PRON
easat-5272	144	18	along	along	ADP
easat-5272	144	19	with	with	ADP
easat-5272	144	20	max	max	PROPN
easat-5272	144	21	-	-	PUNCT
easat-5272	144	22	pooling	pool	VERB
easat-5272	144	23	layers	layer	NOUN
easat-5272	144	24	with	with	ADP
easat-5272	144	25	a	a	DET
easat-5272	144	26	window	window	NOUN
easat-5272	144	27	size	size	NOUN
easat-5272	144	28	of	of	ADP
easat-5272	144	29	3×1	3×1	NUM
easat-5272	144	30	.	.	PUNCT
easat-5272	145	1	the	the	DET
easat-5272	145	2	convolutional	convolutional	ADJ
easat-5272	145	3	layers	layer	NOUN
easat-5272	145	4	progressively	progressively	ADV
easat-5272	145	5	extract	extract	VERB
easat-5272	145	6	hierarchical	hierarchical	ADJ
easat-5272	145	7	features	feature	NOUN
easat-5272	145	8	with	with	ADP
easat-5272	145	9	filter	filter	NOUN
easat-5272	145	10	sizes	size	NOUN
easat-5272	145	11	of	of	ADP
easat-5272	145	12	50	50	NUM
easat-5272	145	13	,	,	PUNCT
easat-5272	145	14	100	100	NUM
easat-5272	145	15	,	,	PUNCT
easat-5272	145	16	and	and	CCONJ
easat-5272	145	17	160	160	NUM
easat-5272	145	18	.	.	PUNCT
easat-5272	146	1	a	a	DET
easat-5272	146	2	dropout	dropout	NOUN
easat-5272	146	3	layer	layer	NOUN
easat-5272	146	4	with	with	ADP
easat-5272	146	5	a	a	DET
easat-5272	146	6	rate	rate	NOUN
easat-5272	146	7	of	of	ADP
easat-5272	146	8	50	50	NUM
easat-5272	146	9	%	%	NOUN
easat-5272	146	10	is	be	AUX
easat-5272	146	11	included	include	VERB
easat-5272	146	12	before	before	ADP
easat-5272	146	13	the	the	DET
easat-5272	146	14	fully	fully	ADV
easat-5272	146	15	connected	connected	ADJ
easat-5272	146	16	layer	layer	NOUN
easat-5272	146	17	to	to	PART
easat-5272	146	18	enhance	enhance	VERB
easat-5272	146	19	generalization	generalization	NOUN
easat-5272	146	20	.	.	PUNCT
easat-5272	147	1	finally	finally	ADV
easat-5272	147	2	,	,	PUNCT
easat-5272	147	3	the	the	DET
easat-5272	147	4	fully	fully	ADV
easat-5272	147	5	connected	connect	VERB
easat-5272	147	6	layer	layer	NOUN
easat-5272	147	7	outputs	output	VERB
easat-5272	147	8	the	the	DET
easat-5272	147	9	probabilities	probability	NOUN
easat-5272	147	10	of	of	ADP
easat-5272	147	11	the	the	DET
easat-5272	147	12	four	four	NUM
easat-5272	147	13	categories	category	NOUN
easat-5272	147	14	through	through	ADP
easat-5272	147	15	the	the	DET
easat-5272	147	16	softmax	softmax	NOUN
easat-5272	147	17	activation	activation	NOUN
easat-5272	147	18	.	.	PUNCT
easat-5272	148	1	to	to	PART
easat-5272	148	2	adapt	adapt	VERB
easat-5272	148	3	the	the	DET
easat-5272	148	4	pre	pre	ADJ
easat-5272	148	5	-	-	ADJ
easat-5272	148	6	trained	train	VERB
easat-5272	148	7	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	148	8	to	to	ADP
easat-5272	148	9	the	the	DET
easat-5272	148	10	small	small	ADJ
easat-5272	148	11	-	-	PUNCT
easat-5272	148	12	scale	scale	NOUN
easat-5272	148	13	targe	targe	NOUN
easat-5272	148	14	dataset	dataset	NOUN
easat-5272	148	15	of	of	ADP
easat-5272	148	16	elevator	elevator	NOUN
easat-5272	148	17	guideway	guideway	NOUN
easat-5272	148	18	,	,	PUNCT
easat-5272	148	19	a	a	DET
easat-5272	148	20	transfer	transfer	NOUN
easat-5272	148	21	learning	learn	VERB
easat-5272	148	22	strategy	strategy	NOUN
easat-5272	148	23	was	be	AUX
easat-5272	148	24	applied	apply	VERB
easat-5272	148	25	:	:	PUNCT
easat-5272	148	26	the	the	DET
easat-5272	148	27	first	first	ADJ
easat-5272	148	28	two	two	NUM
easat-5272	148	29	convolutional	convolutional	ADJ
easat-5272	148	30	layers	layer	NOUN
easat-5272	148	31	were	be	AUX
easat-5272	148	32	frozen	freeze	VERB
easat-5272	148	33	to	to	PART
easat-5272	148	34	retain	retain	VERB
easat-5272	148	35	transferable	transferable	ADJ
easat-5272	148	36	features	feature	NOUN
easat-5272	148	37	learned	learn	VERB
easat-5272	148	38	from	from	ADP
easat-5272	148	39	the	the	DET
easat-5272	148	40	source	source	NOUN
easat-5272	148	41	domain	domain	NOUN
easat-5272	148	42	(	(	PUNCT
easat-5272	148	43	cwru	cwru	PROPN
easat-5272	148	44	dataset	dataset	PROPN
easat-5272	148	45	)	)	PUNCT
easat-5272	148	46	,	,	PUNCT
easat-5272	148	47	and	and	CCONJ
easat-5272	148	48	higher	high	ADJ
easat-5272	148	49	convolutional	convolutional	ADJ
easat-5272	148	50	layers	layer	NOUN
easat-5272	148	51	and	and	CCONJ
easat-5272	148	52	the	the	DET
easat-5272	148	53	fully	fully	ADV
easat-5272	148	54	connected	connected	ADJ
easat-5272	148	55	layer	layer	NOUN
easat-5272	148	56	were	be	AUX
easat-5272	148	57	fine	fine	ADV
easat-5272	148	58	-	-	PUNCT
easat-5272	148	59	tuned	tune	VERB
easat-5272	148	60	to	to	PART
easat-5272	148	61	adapt	adapt	VERB
easat-5272	148	62	to	to	ADP
easat-5272	148	63	the	the	DET
easat-5272	148	64	specific	specific	ADJ
easat-5272	148	65	fault	fault	NOUN
easat-5272	148	66	characteristics	characteristic	NOUN
easat-5272	148	67	of	of	ADP
easat-5272	148	68	the	the	DET
easat-5272	148	69	elevator	elevator	NOUN
easat-5272	148	70	guideway	guideway	NOUN
easat-5272	148	71	dataset	dataset	VERB
easat-5272	148	72	in	in	ADP
easat-5272	148	73	target	target	NOUN
easat-5272	148	74	domain	domain	NOUN
easat-5272	148	75	.	.	PUNCT
easat-5272	149	1	training	training	NOUN
easat-5272	149	2	used	use	VERB
easat-5272	149	3	the	the	DET
easat-5272	149	4	adam	adam	PROPN
easat-5272	149	5	optimizer	optimizer	NOUN
easat-5272	149	6	(	(	PUNCT
easat-5272	149	7	initial	initial	ADJ
easat-5272	149	8	learning	learning	NOUN
easat-5272	149	9	rate	rate	NOUN
easat-5272	149	10	:	:	PUNCT
easat-5272	149	11	0.0001	0.0001	NUM
easat-5272	149	12	,	,	PUNCT
easat-5272	149	13	642	642	NUM
easat-5272	149	14	edelweiss	edelweiss	PROPN
easat-5272	149	15	applied	apply	VERB
easat-5272	149	16	science	science	NOUN
easat-5272	149	17	and	and	CCONJ
easat-5272	149	18	technology	technology	NOUN
easat-5272	149	19	issn	issn	PROPN
easat-5272	149	20	:	:	PUNCT
easat-5272	149	21	2576	2576	NUM
easat-5272	149	22	-	-	SYM
easat-5272	149	23	8484	8484	NUM
easat-5272	149	24	vol	vol	NOUN
easat-5272	149	25	.	.	PROPN
easat-5272	150	1	9	9	NUM
easat-5272	150	2	,	,	PUNCT
easat-5272	150	3	no	no	INTJ
easat-5272	150	4	.	.	NOUN
easat-5272	151	1	3	3	NUM
easat-5272	151	2	:	:	PUNCT
easat-5272	151	3	633	633	NUM
easat-5272	151	4	-	-	SYM
easat-5272	151	5	650	650	NUM
easat-5272	151	6	,	,	PUNCT
easat-5272	151	7	2025	2025	NUM
easat-5272	151	8	doi	doi	NOUN
easat-5272	151	9	:	:	PUNCT
easat-5272	151	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	151	11	©	©	PROPN
easat-5272	151	12	2025	2025	NUM
easat-5272	151	13	by	by	ADP
easat-5272	151	14	the	the	DET
easat-5272	151	15	authors	author	NOUN
easat-5272	151	16	;	;	PUNCT
easat-5272	151	17	licensee	licensee	PROPN
easat-5272	151	18	learning	learn	VERB
easat-5272	151	19	gate	gate	NOUN
easat-5272	151	20	halved	halve	VERB
easat-5272	151	21	every	every	DET
easat-5272	151	22	10	10	NUM
easat-5272	151	23	epochs	epoch	NOUN
easat-5272	151	24	)	)	PUNCT
easat-5272	151	25	,	,	PUNCT
easat-5272	151	26	with	with	ADP
easat-5272	151	27	50	50	NUM
easat-5272	151	28	epochs	epoch	NOUN
easat-5272	151	29	(	(	PUNCT
easat-5272	151	30	stop	stop	VERB
easat-5272	151	31	to	to	PART
easat-5272	151	32	prevent	prevent	VERB
easat-5272	151	33	overfitting	overfitting	NOUN
easat-5272	151	34	)	)	PUNCT
easat-5272	151	35	,	,	PUNCT
easat-5272	151	36	a	a	DET
easat-5272	151	37	batch	batch	NOUN
easat-5272	151	38	size	size	NOUN
easat-5272	151	39	of	of	ADP
easat-5272	151	40	32	32	NUM
easat-5272	151	41	,	,	PUNCT
easat-5272	151	42	and	and	CCONJ
easat-5272	151	43	the	the	DET
easat-5272	151	44	crossentropy	crossentropy	NOUN
easat-5272	151	45	loss	loss	NOUN
easat-5272	151	46	function	function	NOUN
easat-5272	151	47	.	.	PUNCT
easat-5272	152	1	to	to	PART
easat-5272	152	2	ensure	ensure	VERB
easat-5272	152	3	robust	robust	ADJ
easat-5272	152	4	evaluation	evaluation	NOUN
easat-5272	152	5	,	,	PUNCT
easat-5272	152	6	5	5	NUM
easat-5272	152	7	-	-	ADJ
easat-5272	152	8	fold	fold	ADJ
easat-5272	152	9	cross	cross	NOUN
easat-5272	152	10	-	-	NOUN
easat-5272	152	11	validation	validation	ADJ
easat-5272	152	12	[	[	X
easat-5272	152	13	32	32	NUM
easat-5272	152	14	]	]	PUNCT
easat-5272	152	15	was	be	AUX
easat-5272	152	16	implemented	implement	VERB
easat-5272	152	17	in	in	ADP
easat-5272	152	18	the	the	DET
easat-5272	152	19	training	training	NOUN
easat-5272	152	20	set	set	NOUN
easat-5272	152	21	of	of	ADP
easat-5272	152	22	the	the	DET
easat-5272	152	23	elevator	elevator	NOUN
easat-5272	152	24	guideway	guideway	NOUN
easat-5272	152	25	dataset	dataset	NOUN
easat-5272	152	26	.	.	PUNCT
easat-5272	153	1	the	the	DET
easat-5272	153	2	results	result	NOUN
easat-5272	153	3	reported	report	VERB
easat-5272	153	4	in	in	ADP
easat-5272	153	5	subsequent	subsequent	ADJ
easat-5272	153	6	sections	section	NOUN
easat-5272	153	7	represent	represent	VERB
easat-5272	153	8	the	the	DET
easat-5272	153	9	average	average	ADJ
easat-5272	153	10	performance	performance	NOUN
easat-5272	153	11	across	across	ADP
easat-5272	153	12	the	the	DET
easat-5272	153	13	five	five	NUM
easat-5272	153	14	folds	fold	NOUN
easat-5272	153	15	,	,	PUNCT
easat-5272	153	16	while	while	SCONJ
easat-5272	153	17	the	the	DET
easat-5272	153	18	independent	independent	ADJ
easat-5272	153	19	test	test	NOUN
easat-5272	153	20	set	set	NOUN
easat-5272	153	21	was	be	AUX
easat-5272	153	22	used	use	VERB
easat-5272	153	23	to	to	PART
easat-5272	153	24	evaluate	evaluate	VERB
easat-5272	153	25	the	the	DET
easat-5272	153	26	final	final	ADJ
easat-5272	153	27	generalization	generalization	NOUN
easat-5272	153	28	performance	performance	NOUN
easat-5272	153	29	.	.	PUNCT
easat-5272	154	1	4.4	4.4	NUM
easat-5272	154	2	.	.	PUNCT
easat-5272	155	1	evaluation	evaluation	NOUN
easat-5272	155	2	metrics	metric	NOUN
easat-5272	155	3	the	the	DET
easat-5272	155	4	effectiveness	effectiveness	NOUN
easat-5272	155	5	of	of	ADP
easat-5272	155	6	the	the	DET
easat-5272	155	7	tl	tl	PROPN
easat-5272	155	8	-	-	PUNCT
easat-5272	155	9	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	155	10	approach	approach	NOUN
easat-5272	155	11	was	be	AUX
easat-5272	155	12	evaluated	evaluate	VERB
easat-5272	155	13	by	by	ADP
easat-5272	155	14	commonly	commonly	ADV
easat-5272	155	15	adopted	adopt	VERB
easat-5272	155	16	indicators	indicator	NOUN
easat-5272	155	17	of	of	ADP
easat-5272	155	18	accuracy	accuracy	NOUN
easat-5272	155	19	and	and	CCONJ
easat-5272	155	20	confusion	confusion	NOUN
easat-5272	155	21	matrix	matrix	NOUN
easat-5272	155	22	.	.	PUNCT
easat-5272	156	1	the	the	DET
easat-5272	156	2	definitions	definition	NOUN
easat-5272	156	3	are	be	AUX
easat-5272	156	4	shown	show	VERB
easat-5272	156	5	in	in	ADP
easat-5272	156	6	equations	equation	NOUN
easat-5272	156	7	(	(	PUNCT
easat-5272	156	8	1	1	NUM
easat-5272	156	9	)	)	PUNCT
easat-5272	156	10	and	and	CCONJ
easat-5272	156	11	(	(	PUNCT
easat-5272	156	12	2	2	X
easat-5272	156	13	)	)	PUNCT
easat-5272	157	1	[	[	X
easat-5272	157	2	33	33	NUM
easat-5272	157	3	]	]	X
easat-5272	157	4	:	:	PUNCT
easat-5272	157	5	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
easat-5272	157	6	=	=	X
easat-5272	157	7	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
easat-5272	157	8	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
easat-5272	157	9	(	(	PUNCT
easat-5272	157	10	1	1	X
easat-5272	157	11	)	)	PUNCT
easat-5272	157	12	𝐶𝑜𝑛𝑓𝑢𝑠𝑖𝑜𝑛	𝐶𝑜𝑛𝑓𝑢𝑠𝑖𝑜𝑛	PROPN
easat-5272	157	13	𝑀𝑎𝑡𝑟𝑖𝑥	𝑀𝑎𝑡𝑟𝑖𝑥	PROPN
easat-5272	157	14	=	=	PUNCT
easat-5272	158	1	[	[	PUNCT
easat-5272	158	2	𝑇𝑃	𝑇𝑃	NOUN
easat-5272	158	3	𝐹𝑃	𝐹𝑃	NOUN
easat-5272	158	4	𝐹𝑁	𝐹𝑁	PROPN
easat-5272	158	5	𝑇𝑁	𝑇𝑁	PROPN
easat-5272	158	6	]	]	PUNCT
easat-5272	158	7	(	(	PUNCT
easat-5272	158	8	2	2	NUM
easat-5272	158	9	)	)	PUNCT
easat-5272	158	10	where	where	SCONJ
easat-5272	158	11	:	:	PUNCT
easat-5272	158	12	tp	tp	X
easat-5272	158	13	(	(	PUNCT
easat-5272	158	14	true	true	ADJ
easat-5272	158	15	positive	positive	ADJ
easat-5272	158	16	):	):	PUNCT
easat-5272	158	17	the	the	DET
easat-5272	158	18	sum	sum	NOUN
easat-5272	158	19	of	of	ADP
easat-5272	158	20	positive	positive	ADJ
easat-5272	158	21	samples	sample	NOUN
easat-5272	158	22	that	that	PRON
easat-5272	158	23	are	be	AUX
easat-5272	158	24	correctly	correctly	ADV
easat-5272	158	25	identified	identify	VERB
easat-5272	158	26	as	as	ADP
easat-5272	158	27	positive	positive	ADJ
easat-5272	158	28	.	.	PUNCT
easat-5272	159	1	tn	tn	PROPN
easat-5272	159	2	(	(	PUNCT
easat-5272	159	3	true	true	ADJ
easat-5272	159	4	negative	negative	ADJ
easat-5272	159	5	):	):	PUNCT
easat-5272	159	6	the	the	DET
easat-5272	159	7	sum	sum	NOUN
easat-5272	159	8	of	of	ADP
easat-5272	159	9	negative	negative	ADJ
easat-5272	159	10	samples	sample	NOUN
easat-5272	159	11	that	that	PRON
easat-5272	159	12	are	be	AUX
easat-5272	159	13	accurately	accurately	ADV
easat-5272	159	14	classified	classify	VERB
easat-5272	159	15	as	as	ADP
easat-5272	159	16	negative	negative	ADJ
easat-5272	159	17	.	.	PUNCT
easat-5272	160	1	fp	fp	X
easat-5272	160	2	(	(	PUNCT
easat-5272	160	3	false	false	ADJ
easat-5272	160	4	positive	positive	ADJ
easat-5272	160	5	):	):	PUNCT
easat-5272	160	6	the	the	DET
easat-5272	160	7	sum	sum	NOUN
easat-5272	160	8	of	of	ADP
easat-5272	160	9	negative	negative	ADJ
easat-5272	160	10	samples	sample	NOUN
easat-5272	160	11	that	that	PRON
easat-5272	160	12	are	be	AUX
easat-5272	160	13	mistakenly	mistakenly	ADV
easat-5272	160	14	identified	identify	VERB
easat-5272	160	15	as	as	ADP
easat-5272	160	16	positive	positive	ADJ
easat-5272	160	17	.	.	PUNCT
easat-5272	161	1	fn	fn	INTJ
easat-5272	161	2	(	(	PUNCT
easat-5272	161	3	false	false	ADJ
easat-5272	161	4	negative	negative	ADJ
easat-5272	161	5	):	):	PUNCT
easat-5272	161	6	the	the	DET
easat-5272	161	7	sum	sum	NOUN
easat-5272	161	8	of	of	ADP
easat-5272	161	9	positive	positive	ADJ
easat-5272	161	10	samples	sample	NOUN
easat-5272	161	11	that	that	PRON
easat-5272	161	12	are	be	AUX
easat-5272	161	13	incorrectly	incorrectly	ADV
easat-5272	161	14	classified	classify	VERB
easat-5272	161	15	as	as	ADP
easat-5272	161	16	negative	negative	ADJ
easat-5272	161	17	.	.	PUNCT
easat-5272	162	1	accuracy	accuracy	NOUN
easat-5272	162	2	:	:	PUNCT
easat-5272	162	3	proportion	proportion	NOUN
easat-5272	162	4	of	of	ADP
easat-5272	162	5	correctly	correctly	ADV
easat-5272	162	6	classified	classify	VERB
easat-5272	162	7	samples	sample	NOUN
easat-5272	162	8	across	across	ADP
easat-5272	162	9	all	all	DET
easat-5272	162	10	categories	category	NOUN
easat-5272	162	11	.	.	PUNCT
easat-5272	163	1	confusion	confusion	NOUN
easat-5272	163	2	matrix	matrix	NOUN
easat-5272	163	3	:	:	PUNCT
easat-5272	163	4	visualization	visualization	NOUN
easat-5272	163	5	of	of	ADP
easat-5272	163	6	true	true	ADJ
easat-5272	163	7	vs.	vs.	VERB
easat-5272	163	8	predicted	predict	VERB
easat-5272	163	9	labels	label	NOUN
easat-5272	163	10	across	across	ADP
easat-5272	163	11	fault	fault	NOUN
easat-5272	163	12	categories	category	NOUN
easat-5272	163	13	.	.	PUNCT
easat-5272	164	1	4.5	4.5	NUM
easat-5272	164	2	.	.	PUNCT
easat-5272	164	3	results	result	NOUN
easat-5272	164	4	and	and	CCONJ
easat-5272	164	5	analysis	analysis	NOUN
easat-5272	164	6	when	when	SCONJ
easat-5272	164	7	the	the	DET
easat-5272	164	8	pre	pre	ADJ
easat-5272	164	9	-	-	ADJ
easat-5272	164	10	trained	trained	ADJ
easat-5272	164	11	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	164	12	is	be	AUX
easat-5272	164	13	migrated	migrate	VERB
easat-5272	164	14	to	to	ADP
easat-5272	164	15	the	the	DET
easat-5272	164	16	elevator	elevator	NOUN
easat-5272	164	17	dataset	dataset	NOUN
easat-5272	164	18	,	,	PUNCT
easat-5272	164	19	the	the	DET
easat-5272	164	20	training	training	NOUN
easat-5272	164	21	process	process	NOUN
easat-5272	164	22	involves	involve	VERB
easat-5272	164	23	5	5	NUM
easat-5272	164	24	-	-	ADJ
easat-5272	164	25	fold	fold	ADJ
easat-5272	164	26	cross	cross	NOUN
easat-5272	164	27	-	-	NOUN
easat-5272	164	28	validation	validation	NOUN
easat-5272	164	29	on	on	ADP
easat-5272	164	30	the	the	DET
easat-5272	164	31	training	training	NOUN
easat-5272	164	32	set	set	NOUN
easat-5272	164	33	,	,	PUNCT
easat-5272	164	34	where	where	SCONJ
easat-5272	164	35	the	the	DET
easat-5272	164	36	accuracy	accuracy	NOUN
easat-5272	164	37	and	and	CCONJ
easat-5272	164	38	loss	loss	NOUN
easat-5272	164	39	curves	curve	NOUN
easat-5272	164	40	gradually	gradually	ADV
easat-5272	164	41	converge	converge	VERB
easat-5272	164	42	after	after	ADP
easat-5272	164	43	20	20	NUM
easat-5272	164	44	rounds	round	NOUN
easat-5272	164	45	of	of	ADP
easat-5272	164	46	training	training	NOUN
easat-5272	164	47	,	,	PUNCT
easat-5272	164	48	and	and	CCONJ
easat-5272	164	49	the	the	DET
easat-5272	164	50	accuracy	accuracy	NOUN
easat-5272	164	51	basically	basically	ADV
easat-5272	164	52	remains	remain	VERB
easat-5272	164	53	stable	stable	ADJ
easat-5272	164	54	when	when	SCONJ
easat-5272	164	55	the	the	DET
easat-5272	164	56	epoch	epoch	NOUN
easat-5272	164	57	continues	continue	VERB
easat-5272	164	58	to	to	PART
easat-5272	164	59	increase	increase	VERB
easat-5272	164	60	(	(	PUNCT
easat-5272	164	61	as	as	SCONJ
easat-5272	164	62	shown	show	VERB
easat-5272	164	63	in	in	ADP
easat-5272	164	64	figure	figure	NOUN
easat-5272	164	65	7	7	NUM
easat-5272	164	66	)	)	PUNCT
easat-5272	164	67	.	.	PUNCT
easat-5272	165	1	subsequently	subsequently	ADV
easat-5272	165	2	,	,	PUNCT
easat-5272	165	3	the	the	DET
easat-5272	165	4	classification	classification	NOUN
easat-5272	165	5	effect	effect	NOUN
easat-5272	165	6	of	of	ADP
easat-5272	165	7	the	the	DET
easat-5272	165	8	test	test	NOUN
easat-5272	165	9	samples	sample	NOUN
easat-5272	165	10	is	be	AUX
easat-5272	165	11	given	give	VERB
easat-5272	165	12	through	through	ADP
easat-5272	165	13	the	the	DET
easat-5272	165	14	confusion	confusion	NOUN
easat-5272	165	15	matrix	matrix	NOUN
easat-5272	165	16	(	(	PUNCT
easat-5272	165	17	shown	show	VERB
easat-5272	165	18	in	in	ADP
easat-5272	165	19	figure	figure	NOUN
easat-5272	165	20	8)	8)	NUM
easat-5272	165	21	,	,	PUNCT
easat-5272	165	22	and	and	CCONJ
easat-5272	165	23	the	the	DET
easat-5272	165	24	feature	feature	NOUN
easat-5272	165	25	distribution	distribution	NOUN
easat-5272	165	26	of	of	ADP
easat-5272	165	27	the	the	DET
easat-5272	165	28	test	test	NOUN
easat-5272	165	29	samples	sample	NOUN
easat-5272	165	30	visualized	visualize	VERB
easat-5272	165	31	using	use	VERB
easat-5272	165	32	the	the	DET
easat-5272	165	33	t	t	PROPN
easat-5272	165	34	-	-	PUNCT
easat-5272	165	35	sne	sne	NOUN
easat-5272	165	36	algorithm	algorithm	NOUN
easat-5272	165	37	[	[	X
easat-5272	165	38	34	34	NUM
easat-5272	165	39	]	]	PUNCT
easat-5272	165	40	are	be	AUX
easat-5272	165	41	presented	present	VERB
easat-5272	165	42	in	in	ADP
easat-5272	165	43	figure	figure	NOUN
easat-5272	165	44	9	9	NUM
easat-5272	165	45	,	,	PUNCT
easat-5272	165	46	demonstrating	demonstrate	VERB
easat-5272	165	47	the	the	DET
easat-5272	165	48	model	model	NOUN
easat-5272	165	49	’s	’s	PART
easat-5272	165	50	robustness	robustness	NOUN
easat-5272	165	51	in	in	ADP
easat-5272	165	52	distinguishing	distinguish	VERB
easat-5272	165	53	different	different	ADJ
easat-5272	165	54	fault	fault	NOUN
easat-5272	165	55	types	type	NOUN
easat-5272	165	56	.	.	PUNCT
easat-5272	166	1	643	643	NUM
easat-5272	166	2	edelweiss	edelweiss	PROPN
easat-5272	166	3	applied	apply	VERB
easat-5272	166	4	science	science	NOUN
easat-5272	166	5	and	and	CCONJ
easat-5272	166	6	technology	technology	NOUN
easat-5272	166	7	issn	issn	PROPN
easat-5272	166	8	:	:	PUNCT
easat-5272	166	9	2576	2576	NUM
easat-5272	166	10	-	-	SYM
easat-5272	166	11	8484	8484	NUM
easat-5272	166	12	vol	vol	NOUN
easat-5272	166	13	.	.	PROPN
easat-5272	167	1	9	9	NUM
easat-5272	167	2	,	,	PUNCT
easat-5272	167	3	no	no	INTJ
easat-5272	167	4	.	.	NOUN
easat-5272	168	1	3	3	NUM
easat-5272	168	2	:	:	PUNCT
easat-5272	168	3	633	633	NUM
easat-5272	168	4	-	-	SYM
easat-5272	168	5	650	650	NUM
easat-5272	168	6	,	,	PUNCT
easat-5272	168	7	2025	2025	NUM
easat-5272	168	8	doi	doi	NOUN
easat-5272	168	9	:	:	PUNCT
easat-5272	168	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	168	11	©	©	PROPN
easat-5272	168	12	2025	2025	NUM
easat-5272	168	13	by	by	ADP
easat-5272	168	14	the	the	DET
easat-5272	168	15	authors	author	NOUN
easat-5272	168	16	;	;	PUNCT
easat-5272	168	17	licensee	licensee	PROPN
easat-5272	168	18	learning	learn	VERB
easat-5272	168	19	gate	gate	NOUN
easat-5272	168	20	figure	figure	NOUN
easat-5272	168	21	7	7	NUM
easat-5272	168	22	.	.	PUNCT
easat-5272	168	23	iterative	iterative	ADJ
easat-5272	168	24	convergence	convergence	NOUN
easat-5272	168	25	of	of	ADP
easat-5272	168	26	accuracy	accuracy	NOUN
easat-5272	168	27	and	and	CCONJ
easat-5272	168	28	loss	loss	NOUN
easat-5272	168	29	.	.	PUNCT
easat-5272	169	1	644	644	NUM
easat-5272	169	2	edelweiss	edelweiss	PROPN
easat-5272	169	3	applied	apply	VERB
easat-5272	169	4	science	science	NOUN
easat-5272	169	5	and	and	CCONJ
easat-5272	169	6	technology	technology	NOUN
easat-5272	169	7	issn	issn	PROPN
easat-5272	169	8	:	:	PUNCT
easat-5272	169	9	2576	2576	NUM
easat-5272	169	10	-	-	SYM
easat-5272	169	11	8484	8484	NUM
easat-5272	169	12	vol	vol	NOUN
easat-5272	169	13	.	.	PROPN
easat-5272	170	1	9	9	NUM
easat-5272	170	2	,	,	PUNCT
easat-5272	170	3	no	no	INTJ
easat-5272	170	4	.	.	NOUN
easat-5272	171	1	3	3	NUM
easat-5272	171	2	:	:	PUNCT
easat-5272	171	3	633	633	NUM
easat-5272	171	4	-	-	SYM
easat-5272	171	5	650	650	NUM
easat-5272	171	6	,	,	PUNCT
easat-5272	171	7	2025	2025	NUM
easat-5272	171	8	doi	doi	NOUN
easat-5272	171	9	:	:	PUNCT
easat-5272	171	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	171	11	©	©	PROPN
easat-5272	171	12	2025	2025	NUM
easat-5272	171	13	by	by	ADP
easat-5272	171	14	the	the	DET
easat-5272	171	15	authors	author	NOUN
easat-5272	171	16	;	;	PUNCT
easat-5272	171	17	licensee	licensee	PROPN
easat-5272	171	18	learning	learn	VERB
easat-5272	171	19	gate	gate	PROPN
easat-5272	171	20	figure	figure	NOUN
easat-5272	171	21	8	8	NUM
easat-5272	171	22	.	.	PUNCT
easat-5272	171	23	confusion	confusion	NOUN
easat-5272	171	24	matrix	matrix	NOUN
easat-5272	171	25	for	for	ADP
easat-5272	171	26	classification	classification	NOUN
easat-5272	171	27	results	result	NOUN
easat-5272	171	28	.	.	PUNCT
easat-5272	172	1	645	645	NUM
easat-5272	172	2	edelweiss	edelweiss	PROPN
easat-5272	172	3	applied	apply	VERB
easat-5272	172	4	science	science	NOUN
easat-5272	172	5	and	and	CCONJ
easat-5272	172	6	technology	technology	NOUN
easat-5272	172	7	issn	issn	PROPN
easat-5272	172	8	:	:	PUNCT
easat-5272	172	9	2576	2576	NUM
easat-5272	172	10	-	-	SYM
easat-5272	172	11	8484	8484	NUM
easat-5272	172	12	vol	vol	NOUN
easat-5272	172	13	.	.	PROPN
easat-5272	173	1	9	9	NUM
easat-5272	173	2	,	,	PUNCT
easat-5272	173	3	no	no	INTJ
easat-5272	173	4	.	.	NOUN
easat-5272	174	1	3	3	NUM
easat-5272	174	2	:	:	PUNCT
easat-5272	174	3	633	633	NUM
easat-5272	174	4	-	-	SYM
easat-5272	174	5	650	650	NUM
easat-5272	174	6	,	,	PUNCT
easat-5272	174	7	2025	2025	NUM
easat-5272	174	8	doi	doi	NOUN
easat-5272	174	9	:	:	PUNCT
easat-5272	174	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	174	11	©	©	PROPN
easat-5272	174	12	2025	2025	NUM
easat-5272	174	13	by	by	ADP
easat-5272	174	14	the	the	DET
easat-5272	174	15	authors	author	NOUN
easat-5272	174	16	;	;	PUNCT
easat-5272	174	17	licensee	licensee	PROPN
easat-5272	174	18	learning	learn	VERB
easat-5272	174	19	gate	gate	NOUN
easat-5272	174	20	figure	figure	NOUN
easat-5272	174	21	9	9	NUM
easat-5272	174	22	.	.	PUNCT
easat-5272	174	23	visualized	visualize	VERB
easat-5272	174	24	feature	feature	NOUN
easat-5272	174	25	distribution	distribution	NOUN
easat-5272	174	26	.	.	PUNCT
easat-5272	175	1	the	the	DET
easat-5272	175	2	proposed	propose	VERB
easat-5272	175	3	tl	tl	PROPN
easat-5272	175	4	-	-	PUNCT
easat-5272	175	5	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	175	6	model	model	NOUN
easat-5272	175	7	achieves	achieve	VERB
easat-5272	175	8	perfect	perfect	ADJ
easat-5272	175	9	classification	classification	NOUN
easat-5272	175	10	for	for	ADP
easat-5272	175	11	normal	normal	ADJ
easat-5272	175	12	samples	sample	NOUN
easat-5272	175	13	,	,	PUNCT
easat-5272	175	14	indicating	indicate	VERB
easat-5272	175	15	its	its	PRON
easat-5272	175	16	ability	ability	NOUN
easat-5272	175	17	to	to	PART
easat-5272	175	18	accurately	accurately	ADV
easat-5272	175	19	identify	identify	VERB
easat-5272	175	20	healthy	healthy	ADJ
easat-5272	175	21	elevator	elevator	NOUN
easat-5272	175	22	guideway	guideway	NOUN
easat-5272	175	23	conditions	condition	NOUN
easat-5272	175	24	.	.	PUNCT
easat-5272	176	1	however	however	ADV
easat-5272	176	2	,	,	PUNCT
easat-5272	176	3	for	for	ADP
easat-5272	176	4	bending	bend	VERB
easat-5272	176	5	faults	fault	NOUN
easat-5272	176	6	,	,	PUNCT
easat-5272	176	7	8	8	NUM
easat-5272	176	8	%	%	NOUN
easat-5272	176	9	and	and	CCONJ
easat-5272	176	10	3	3	NUM
easat-5272	176	11	%	%	NOUN
easat-5272	176	12	of	of	ADP
easat-5272	176	13	samples	sample	NOUN
easat-5272	176	14	are	be	AUX
easat-5272	176	15	misclassified	misclassifie	VERB
easat-5272	176	16	as	as	ADP
easat-5272	176	17	misalignment	misalignment	NOUN
easat-5272	176	18	and	and	CCONJ
easat-5272	176	19	step	step	NOUN
easat-5272	176	20	faults	fault	NOUN
easat-5272	176	21	,	,	PUNCT
easat-5272	176	22	respectively	respectively	ADV
easat-5272	176	23	.	.	PUNCT
easat-5272	177	1	similarly	similarly	ADV
easat-5272	177	2	,	,	PUNCT
easat-5272	177	3	7	7	NUM
easat-5272	177	4	%	%	NOUN
easat-5272	177	5	and	and	CCONJ
easat-5272	177	6	2	2	NUM
easat-5272	177	7	%	%	NOUN
easat-5272	177	8	of	of	ADP
easat-5272	177	9	misalignment	misalignment	NOUN
easat-5272	177	10	fault	fault	NOUN
easat-5272	177	11	samples	sample	NOUN
easat-5272	177	12	are	be	AUX
easat-5272	177	13	misclassified	misclassifie	VERB
easat-5272	177	14	as	as	ADP
easat-5272	177	15	bending	bend	VERB
easat-5272	177	16	and	and	CCONJ
easat-5272	177	17	step	step	NOUN
easat-5272	177	18	faults	fault	NOUN
easat-5272	177	19	,	,	PUNCT
easat-5272	177	20	and	and	CCONJ
easat-5272	177	21	for	for	ADP
easat-5272	177	22	step	step	NOUN
easat-5272	177	23	faults	fault	NOUN
easat-5272	177	24	,	,	PUNCT
easat-5272	177	25	2	2	NUM
easat-5272	177	26	%	%	NOUN
easat-5272	177	27	and	and	CCONJ
easat-5272	177	28	3	3	NUM
easat-5272	177	29	%	%	NOUN
easat-5272	177	30	of	of	ADP
easat-5272	177	31	samples	sample	NOUN
easat-5272	177	32	are	be	AUX
easat-5272	177	33	misclassified	misclassifie	VERB
easat-5272	177	34	as	as	ADP
easat-5272	177	35	bending	bend	VERB
easat-5272	177	36	and	and	CCONJ
easat-5272	177	37	misalignment	misalignment	NOUN
easat-5272	177	38	faults	fault	NOUN
easat-5272	177	39	,	,	PUNCT
easat-5272	177	40	respectively	respectively	ADV
easat-5272	177	41	.	.	PUNCT
easat-5272	178	1	the	the	DET
easat-5272	178	2	misclassification	misclassification	NOUN
easat-5272	178	3	is	be	AUX
easat-5272	178	4	likely	likely	ADJ
easat-5272	178	5	due	due	ADJ
easat-5272	178	6	to	to	ADP
easat-5272	178	7	overlapping	overlap	VERB
easat-5272	178	8	or	or	CCONJ
easat-5272	178	9	shared	share	VERB
easat-5272	178	10	features	feature	NOUN
easat-5272	178	11	among	among	ADP
easat-5272	178	12	these	these	DET
easat-5272	178	13	fault	fault	NOUN
easat-5272	178	14	types	type	NOUN
easat-5272	178	15	,	,	PUNCT
easat-5272	178	16	especially	especially	ADV
easat-5272	178	17	between	between	ADP
easat-5272	178	18	bending	bending	NOUN
easat-5272	178	19	and	and	CCONJ
easat-5272	178	20	misalignment	misalignment	NOUN
easat-5272	178	21	faults	fault	NOUN
easat-5272	178	22	,	,	PUNCT
easat-5272	178	23	which	which	PRON
easat-5272	178	24	are	be	AUX
easat-5272	178	25	more	more	ADV
easat-5272	178	26	similar	similar	ADJ
easat-5272	178	27	than	than	ADP
easat-5272	178	28	step	step	NOUN
easat-5272	178	29	faults	fault	NOUN
easat-5272	178	30	.	.	PUNCT
easat-5272	179	1	despite	despite	SCONJ
easat-5272	179	2	these	these	DET
easat-5272	179	3	minor	minor	ADJ
easat-5272	179	4	errors	error	NOUN
easat-5272	179	5	,	,	PUNCT
easat-5272	179	6	the	the	DET
easat-5272	179	7	overall	overall	ADJ
easat-5272	179	8	classification	classification	NOUN
easat-5272	179	9	accuracy	accuracy	NOUN
easat-5272	179	10	of	of	ADP
easat-5272	179	11	the	the	DET
easat-5272	179	12	proposed	propose	VERB
easat-5272	179	13	model	model	NOUN
easat-5272	179	14	meets	meet	VERB
easat-5272	179	15	practical	practical	ADJ
easat-5272	179	16	requirements	requirement	NOUN
easat-5272	179	17	,	,	PUNCT
easat-5272	179	18	effectively	effectively	ADV
easat-5272	179	19	distinguishing	distinguish	VERB
easat-5272	179	20	abnormal	abnormal	ADJ
easat-5272	179	21	vibration	vibration	NOUN
easat-5272	179	22	conditions	condition	NOUN
easat-5272	179	23	.	.	PUNCT
easat-5272	180	1	4.6	4.6	NUM
easat-5272	180	2	.	.	PUNCT
easat-5272	180	3	comparison	comparison	NOUN
easat-5272	180	4	with	with	ADP
easat-5272	180	5	other	other	ADJ
easat-5272	180	6	models	model	NOUN
easat-5272	180	7	to	to	PART
easat-5272	180	8	evaluate	evaluate	VERB
easat-5272	180	9	the	the	DET
easat-5272	180	10	competitive	competitive	ADJ
easat-5272	180	11	advantage	advantage	NOUN
easat-5272	180	12	of	of	ADP
easat-5272	180	13	the	the	DET
easat-5272	180	14	proposed	propose	VERB
easat-5272	180	15	tl	tl	PROPN
easat-5272	180	16	-	-	PUNCT
easat-5272	180	17	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	180	18	,	,	PUNCT
easat-5272	180	19	comparative	comparative	ADJ
easat-5272	180	20	experiments	experiment	NOUN
easat-5272	180	21	were	be	AUX
easat-5272	180	22	conducted	conduct	VERB
easat-5272	180	23	using	use	VERB
easat-5272	180	24	two	two	NUM
easat-5272	180	25	commonly	commonly	ADV
easat-5272	180	26	employed	employ	VERB
easat-5272	180	27	deep	deep	ADJ
easat-5272	180	28	learning	learning	NOUN
easat-5272	180	29	models	model	NOUN
easat-5272	180	30	:	:	PUNCT
easat-5272	180	31	mlp	mlp	NOUN
easat-5272	180	32	and	and	CCONJ
easat-5272	180	33	lstm	lstm	PROPN
easat-5272	180	34	.	.	PUNCT
easat-5272	181	1	model	model	NOUN
easat-5272	181	2	configurations	configuration	NOUN
easat-5272	181	3	:	:	PUNCT
easat-5272	181	4	mlp	mlp	NOUN
easat-5272	181	5	(	(	PUNCT
easat-5272	181	6	multi	multi	ADJ
easat-5272	181	7	-	-	ADJ
easat-5272	181	8	layer	layer	ADJ
easat-5272	181	9	perceptron	perceptron	PROPN
easat-5272	181	10	):	):	PUNCT
easat-5272	181	11	input	input	PROPN
easat-5272	181	12	:	:	PUNCT
easat-5272	181	13	emd	emd	PROPN
easat-5272	181	14	-	-	PUNCT
easat-5272	181	15	extracted	extract	VERB
easat-5272	181	16	imf	imf	PROPN
easat-5272	181	17	features	feature	NOUN
easat-5272	181	18	.	.	PUNCT
easat-5272	182	1	646	646	NUM
easat-5272	182	2	edelweiss	edelweiss	PROPN
easat-5272	182	3	applied	apply	VERB
easat-5272	182	4	science	science	NOUN
easat-5272	182	5	and	and	CCONJ
easat-5272	182	6	technology	technology	NOUN
easat-5272	182	7	issn	issn	PROPN
easat-5272	182	8	:	:	PUNCT
easat-5272	182	9	2576	2576	NUM
easat-5272	182	10	-	-	SYM
easat-5272	182	11	8484	8484	NUM
easat-5272	182	12	vol	vol	NOUN
easat-5272	182	13	.	.	PROPN
easat-5272	183	1	9	9	NUM
easat-5272	183	2	,	,	PUNCT
easat-5272	183	3	no	no	INTJ
easat-5272	183	4	.	.	NOUN
easat-5272	184	1	3	3	NUM
easat-5272	184	2	:	:	PUNCT
easat-5272	184	3	633	633	NUM
easat-5272	184	4	-	-	SYM
easat-5272	184	5	650	650	NUM
easat-5272	184	6	,	,	PUNCT
easat-5272	184	7	2025	2025	NUM
easat-5272	184	8	doi	doi	NOUN
easat-5272	184	9	:	:	PUNCT
easat-5272	184	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	184	11	©	©	PROPN
easat-5272	184	12	2025	2025	NUM
easat-5272	184	13	by	by	ADP
easat-5272	184	14	the	the	DET
easat-5272	184	15	authors	author	NOUN
easat-5272	184	16	;	;	PUNCT
easat-5272	184	17	licensee	licensee	PROPN
easat-5272	184	18	learning	learn	VERB
easat-5272	184	19	gate	gate	NOUN
easat-5272	184	20	architecture	architecture	NOUN
easat-5272	184	21	:	:	PUNCT
easat-5272	184	22	three	three	NUM
easat-5272	184	23	fully	fully	ADV
easat-5272	184	24	connected	connected	ADJ
easat-5272	184	25	layers	layer	NOUN
easat-5272	184	26	with	with	ADP
easat-5272	184	27	128	128	NUM
easat-5272	184	28	,	,	PUNCT
easat-5272	184	29	64	64	NUM
easat-5272	184	30	,	,	PUNCT
easat-5272	184	31	and	and	CCONJ
easat-5272	184	32	32	32	NUM
easat-5272	184	33	neurons	neuron	NOUN
easat-5272	184	34	,	,	PUNCT
easat-5272	184	35	each	each	PRON
easat-5272	184	36	followed	follow	VERB
easat-5272	184	37	by	by	ADP
easat-5272	184	38	relu	relu	NOUN
easat-5272	184	39	activations	activation	NOUN
easat-5272	184	40	and	and	CCONJ
easat-5272	184	41	a	a	DET
easat-5272	184	42	dropout	dropout	NOUN
easat-5272	184	43	rate	rate	NOUN
easat-5272	184	44	of	of	ADP
easat-5272	184	45	0.5	0.5	NUM
easat-5272	184	46	.	.	PUNCT
easat-5272	185	1	training	training	NOUN
easat-5272	185	2	:	:	PUNCT
easat-5272	185	3	adam	adam	PROPN
easat-5272	185	4	optimizer	optimizer	NOUN
easat-5272	185	5	(	(	PUNCT
easat-5272	185	6	𝑙𝑟=0.001	𝑙𝑟=0.001	PROPN
easat-5272	185	7	)	)	PUNCT
easat-5272	185	8	,	,	PUNCT
easat-5272	185	9	50	50	NUM
easat-5272	185	10	epochs	epoch	NOUN
easat-5272	185	11	.	.	PUNCT
easat-5272	186	1	lstm	lstm	NOUN
easat-5272	186	2	(	(	PUNCT
easat-5272	186	3	long	long	ADJ
easat-5272	186	4	short	short	ADJ
easat-5272	186	5	-	-	PUNCT
easat-5272	186	6	term	term	NOUN
easat-5272	186	7	memory	memory	NOUN
easat-5272	186	8	):	):	PUNCT
easat-5272	186	9	input	input	NOUN
easat-5272	186	10	:	:	PUNCT
easat-5272	186	11	raw	raw	ADJ
easat-5272	186	12	vibration	vibration	NOUN
easat-5272	186	13	signals	signal	NOUN
easat-5272	186	14	reshaped	reshape	VERB
easat-5272	186	15	into	into	ADP
easat-5272	186	16	time	time	NOUN
easat-5272	186	17	-	-	PUNCT
easat-5272	186	18	series	series	NOUN
easat-5272	186	19	sequences	sequence	NOUN
easat-5272	186	20	.	.	PUNCT
easat-5272	187	1	architecture	architecture	NOUN
easat-5272	187	2	:	:	PUNCT
easat-5272	187	3	one	one	NUM
easat-5272	187	4	lstm	lstm	NOUN
easat-5272	187	5	layer	layer	NOUN
easat-5272	187	6	with	with	ADP
easat-5272	187	7	64	64	NUM
easat-5272	187	8	units	unit	NOUN
easat-5272	187	9	,	,	PUNCT
easat-5272	187	10	along	along	ADP
easat-5272	187	11	with	with	ADP
easat-5272	187	12	a	a	DET
easat-5272	187	13	fully	fully	ADV
easat-5272	187	14	connected	connect	VERB
easat-5272	187	15	layer	layer	NOUN
easat-5272	187	16	with	with	ADP
easat-5272	187	17	32	32	NUM
easat-5272	187	18	neurons	neuron	NOUN
easat-5272	187	19	.	.	PUNCT
easat-5272	188	1	training	training	NOUN
easat-5272	188	2	:	:	PUNCT
easat-5272	188	3	adam	adam	PROPN
easat-5272	188	4	optimizer	optimizer	NOUN
easat-5272	188	5	(	(	PUNCT
easat-5272	188	6	𝑙𝑟=0.001	𝑙𝑟=0.001	PROPN
easat-5272	188	7	)	)	PUNCT
easat-5272	188	8	,	,	PUNCT
easat-5272	188	9	50	50	NUM
easat-5272	188	10	epochs	epoch	NOUN
easat-5272	188	11	.	.	PUNCT
easat-5272	189	1	5	5	X
easat-5272	189	2	.	.	X
easat-5272	189	3	comparison	comparison	NOUN
easat-5272	189	4	results	result	VERB
easat-5272	189	5	the	the	DET
easat-5272	189	6	classification	classification	NOUN
easat-5272	189	7	accuracies	accuracy	NOUN
easat-5272	189	8	of	of	ADP
easat-5272	189	9	the	the	DET
easat-5272	189	10	three	three	NUM
easat-5272	189	11	models	model	NOUN
easat-5272	189	12	,	,	PUNCT
easat-5272	189	13	averaged	average	VERB
easat-5272	189	14	across	across	ADP
easat-5272	189	15	5	5	NUM
easat-5272	189	16	-	-	ADJ
easat-5272	189	17	fold	fold	ADJ
easat-5272	189	18	cross	cross	NOUN
easat-5272	189	19	-	-	NOUN
easat-5272	189	20	validation	validation	NOUN
easat-5272	189	21	on	on	ADP
easat-5272	189	22	the	the	DET
easat-5272	189	23	elevator	elevator	NOUN
easat-5272	189	24	guideway	guideway	NOUN
easat-5272	189	25	dataset	dataset	NOUN
easat-5272	189	26	,	,	PUNCT
easat-5272	189	27	are	be	AUX
easat-5272	189	28	summarized	summarize	VERB
easat-5272	189	29	in	in	ADP
easat-5272	189	30	table	table	NOUN
easat-5272	189	31	3	3	NUM
easat-5272	189	32	.	.	PUNCT
easat-5272	190	1	the	the	DET
easat-5272	190	2	proposed	propose	VERB
easat-5272	190	3	tl	tl	PROPN
easat-5272	190	4	-	-	PUNCT
easat-5272	190	5	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	190	6	achieves	achieve	VERB
easat-5272	190	7	the	the	DET
easat-5272	190	8	highest	high	ADJ
easat-5272	190	9	classification	classification	NOUN
easat-5272	190	10	accuracy	accuracy	NOUN
easat-5272	190	11	of	of	ADP
easat-5272	190	12	94.5	94.5	NUM
easat-5272	190	13	%	%	NOUN
easat-5272	190	14	,	,	PUNCT
easat-5272	190	15	outperforming	outperform	VERB
easat-5272	190	16	mlp	mlp	NOUN
easat-5272	190	17	(	(	PUNCT
easat-5272	190	18	92.7	92.7	NUM
easat-5272	190	19	%	%	NOUN
easat-5272	190	20	)	)	PUNCT
easat-5272	190	21	and	and	CCONJ
easat-5272	190	22	lstm	lstm	NOUN
easat-5272	190	23	(	(	PUNCT
easat-5272	190	24	93.1	93.1	NUM
easat-5272	190	25	%	%	NOUN
easat-5272	190	26	)	)	PUNCT
easat-5272	190	27	.	.	PUNCT
easat-5272	191	1	the	the	DET
easat-5272	191	2	advantageous	advantageous	ADJ
easat-5272	191	3	effect	effect	NOUN
easat-5272	191	4	of	of	ADP
easat-5272	191	5	tl	tl	PROPN
easat-5272	191	6	-	-	PUNCT
easat-5272	191	7	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	191	8	is	be	AUX
easat-5272	191	9	due	due	ADJ
easat-5272	191	10	to	to	ADP
easat-5272	191	11	its	its	PRON
easat-5272	191	12	ability	ability	NOUN
easat-5272	191	13	to	to	PART
easat-5272	191	14	leverage	leverage	VERB
easat-5272	191	15	emd	emd	PROPN
easat-5272	191	16	for	for	ADP
easat-5272	191	17	multi	multi	ADJ
easat-5272	191	18	-	-	ADJ
easat-5272	191	19	scale	scale	ADJ
easat-5272	191	20	feature	feature	NOUN
easat-5272	191	21	extraction	extraction	NOUN
easat-5272	191	22	and	and	CCONJ
easat-5272	191	23	its	its	PRON
easat-5272	191	24	multi	multi	ADJ
easat-5272	191	25	-	-	ADJ
easat-5272	191	26	channel	channel	ADJ
easat-5272	191	27	structure	structure	NOUN
easat-5272	191	28	,	,	PUNCT
easat-5272	191	29	which	which	PRON
easat-5272	191	30	captures	capture	VERB
easat-5272	191	31	fault	fault	NOUN
easat-5272	191	32	-	-	PUNCT
easat-5272	191	33	related	relate	VERB
easat-5272	191	34	features	feature	NOUN
easat-5272	191	35	across	across	ADP
easat-5272	191	36	different	different	ADJ
easat-5272	191	37	frequency	frequency	NOUN
easat-5272	191	38	bands	band	NOUN
easat-5272	191	39	.	.	PUNCT
easat-5272	192	1	in	in	ADP
easat-5272	192	2	contrast	contrast	NOUN
easat-5272	192	3	,	,	PUNCT
easat-5272	192	4	mlp	mlp	PROPN
easat-5272	192	5	lacks	lack	VERB
easat-5272	192	6	temporal	temporal	ADJ
easat-5272	192	7	feature	feature	NOUN
easat-5272	192	8	extraction	extraction	NOUN
easat-5272	192	9	,	,	PUNCT
easat-5272	192	10	while	while	SCONJ
easat-5272	192	11	lstm	lstm	ADJ
easat-5272	192	12	,	,	PUNCT
easat-5272	192	13	though	though	SCONJ
easat-5272	192	14	suitable	suitable	ADJ
easat-5272	192	15	for	for	ADP
easat-5272	192	16	sequence	sequence	NOUN
easat-5272	192	17	learning	learning	NOUN
easat-5272	192	18	,	,	PUNCT
easat-5272	192	19	struggles	struggle	VERB
easat-5272	192	20	with	with	ADP
easat-5272	192	21	overlapping	overlap	VERB
easat-5272	192	22	fault	fault	NOUN
easat-5272	192	23	characteristics	characteristic	NOUN
easat-5272	192	24	.	.	PUNCT
easat-5272	193	1	table	table	NOUN
easat-5272	193	2	3	3	NUM
easat-5272	193	3	.	.	PUNCT
easat-5272	193	4	comparative	comparative	ADJ
easat-5272	193	5	results	result	NOUN
easat-5272	193	6	of	of	ADP
easat-5272	193	7	model	model	NOUN
easat-5272	193	8	accuracy	accuracy	NOUN
easat-5272	193	9	.	.	PUNCT
easat-5272	194	1	model	model	NOUN
easat-5272	194	2	0	0	NUM
easat-5272	195	1	(	(	PUNCT
easat-5272	195	2	normal	normal	ADJ
easat-5272	195	3	)	)	PUNCT
easat-5272	195	4	1	1	NUM
easat-5272	195	5	(	(	PUNCT
easat-5272	195	6	bending	bend	VERB
easat-5272	195	7	)	)	PUNCT
easat-5272	195	8	2	2	NUM
easat-5272	195	9	(	(	PUNCT
easat-5272	195	10	misalignment	misalignment	NOUN
easat-5272	195	11	)	)	PUNCT
easat-5272	195	12	3	3	NUM
easat-5272	195	13	(	(	PUNCT
easat-5272	195	14	step	step	NOUN
easat-5272	195	15	)	)	PUNCT
easat-5272	195	16	average	average	NOUN
easat-5272	195	17	mlp	mlp	NOUN
easat-5272	195	18	100.0	100.0	NUM
easat-5272	195	19	88.2	88.2	NUM
easat-5272	195	20	89.6	89.6	NUM
easat-5272	195	21	93.1	93.1	NUM
easat-5272	195	22	92.7	92.7	NUM
easat-5272	195	23	lstm	lstm	NOUN
easat-5272	195	24	100.0	100.0	NUM
easat-5272	195	25	89.4	89.4	NUM
easat-5272	195	26	88.7	88.7	NUM
easat-5272	195	27	94.3	94.3	NUM
easat-5272	195	28	93.1	93.1	NUM
easat-5272	195	29	tl	tl	PROPN
easat-5272	195	30	-	-	PUNCT
easat-5272	195	31	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	195	32	100.0	100.0	NUM
easat-5272	195	33	90.7	90.7	NUM
easat-5272	195	34	91.4	91.4	NUM
easat-5272	195	35	95.8	95.8	NUM
easat-5272	195	36	94.5	94.5	NUM
easat-5272	195	37	5.1	5.1	NUM
easat-5272	195	38	.	.	PUNCT
easat-5272	196	1	ablation	ablation	NOUN
easat-5272	196	2	study	study	NOUN
easat-5272	196	3	to	to	PART
easat-5272	196	4	evaluate	evaluate	VERB
easat-5272	196	5	the	the	DET
easat-5272	196	6	contributions	contribution	NOUN
easat-5272	196	7	of	of	ADP
easat-5272	196	8	emd	emd	PROPN
easat-5272	196	9	and	and	CCONJ
easat-5272	196	10	transfer	transfer	NOUN
easat-5272	196	11	learning	learning	NOUN
easat-5272	196	12	,	,	PUNCT
easat-5272	196	13	ablation	ablation	NOUN
easat-5272	196	14	experiments	experiment	NOUN
easat-5272	196	15	were	be	AUX
easat-5272	196	16	conducted	conduct	VERB
easat-5272	196	17	using	use	VERB
easat-5272	196	18	two	two	NUM
easat-5272	196	19	simplified	simplified	ADJ
easat-5272	196	20	configurations	configuration	NOUN
easat-5272	196	21	:	:	PUNCT
easat-5272	196	22	without	without	ADP
easat-5272	196	23	emd	emd	PROPN
easat-5272	196	24	:	:	PUNCT
easat-5272	196	25	the	the	DET
easat-5272	196	26	raw	raw	ADJ
easat-5272	196	27	vibration	vibration	NOUN
easat-5272	196	28	signals	signal	NOUN
easat-5272	196	29	were	be	AUX
easat-5272	196	30	segmented	segment	VERB
easat-5272	196	31	and	and	CCONJ
easat-5272	196	32	directly	directly	ADV
easat-5272	196	33	input	input	VERB
easat-5272	196	34	into	into	ADP
easat-5272	196	35	the	the	DET
easat-5272	196	36	1d	1d	NUM
easat-5272	196	37	-	-	PUNCT
easat-5272	196	38	cnn	cnn	NOUN
easat-5272	196	39	for	for	ADP
easat-5272	196	40	transfer	transfer	NOUN
easat-5272	196	41	learning	learning	NOUN
easat-5272	196	42	.	.	PUNCT
easat-5272	197	1	without	without	ADP
easat-5272	197	2	transfer	transfer	NOUN
easat-5272	197	3	learning	learning	NOUN
easat-5272	197	4	:	:	PUNCT
easat-5272	197	5	the	the	DET
easat-5272	197	6	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	197	7	model	model	NOUN
easat-5272	197	8	was	be	AUX
easat-5272	197	9	trained	train	VERB
easat-5272	197	10	and	and	CCONJ
easat-5272	197	11	tested	test	VERB
easat-5272	197	12	directly	directly	ADV
easat-5272	197	13	on	on	ADP
easat-5272	197	14	the	the	DET
easat-5272	197	15	elevator	elevator	NOUN
easat-5272	197	16	guideway	guideway	NOUN
easat-5272	197	17	dataset	dataset	VERB
easat-5272	197	18	without	without	ADP
easat-5272	197	19	pre	pre	NOUN
easat-5272	197	20	-	-	NOUN
easat-5272	197	21	training	training	NOUN
easat-5272	197	22	on	on	ADP
easat-5272	197	23	the	the	DET
easat-5272	197	24	cwru	cwru	NOUN
easat-5272	197	25	dataset	dataset	PROPN
easat-5272	197	26	.	.	PUNCT
easat-5272	198	1	ablation	ablation	NOUN
easat-5272	198	2	results	result	NOUN
easat-5272	198	3	:	:	PUNCT
easat-5272	198	4	the	the	DET
easat-5272	198	5	classification	classification	NOUN
easat-5272	198	6	accuracies	accuracy	NOUN
easat-5272	198	7	across	across	ADP
easat-5272	198	8	training	training	NOUN
easat-5272	198	9	epochs	epoch	NOUN
easat-5272	198	10	for	for	ADP
easat-5272	198	11	the	the	DET
easat-5272	198	12	three	three	NUM
easat-5272	198	13	setups	setup	NOUN
easat-5272	198	14	are	be	AUX
easat-5272	198	15	presented	present	VERB
easat-5272	198	16	in	in	ADP
easat-5272	198	17	figure	figure	NOUN
easat-5272	198	18	10	10	NUM
easat-5272	198	19	.	.	PUNCT
easat-5272	199	1	the	the	DET
easat-5272	199	2	constructed	construct	VERB
easat-5272	199	3	method	method	NOUN
easat-5272	199	4	possesses	possess	VERB
easat-5272	199	5	the	the	DET
easat-5272	199	6	highest	high	ADJ
easat-5272	199	7	classification	classification	NOUN
easat-5272	199	8	accuracy	accuracy	NOUN
easat-5272	199	9	,	,	PUNCT
easat-5272	199	10	stabilizing	stabilize	VERB
easat-5272	199	11	after	after	ADP
easat-5272	199	12	20	20	NUM
easat-5272	199	13	epochs	epoch	NOUN
easat-5272	199	14	.	.	PUNCT
easat-5272	200	1	in	in	ADP
easat-5272	200	2	comparison	comparison	NOUN
easat-5272	200	3	:	:	PUNCT
easat-5272	200	4	647	647	NUM
easat-5272	200	5	edelweiss	edelweiss	PROPN
easat-5272	200	6	applied	apply	VERB
easat-5272	200	7	science	science	NOUN
easat-5272	200	8	and	and	CCONJ
easat-5272	200	9	technology	technology	NOUN
easat-5272	200	10	issn	issn	PROPN
easat-5272	200	11	:	:	PUNCT
easat-5272	200	12	2576	2576	NUM
easat-5272	200	13	-	-	SYM
easat-5272	200	14	8484	8484	NUM
easat-5272	200	15	vol	vol	NOUN
easat-5272	200	16	.	.	PROPN
easat-5272	201	1	9	9	NUM
easat-5272	201	2	,	,	PUNCT
easat-5272	201	3	no	no	INTJ
easat-5272	201	4	.	.	NOUN
easat-5272	202	1	3	3	NUM
easat-5272	202	2	:	:	PUNCT
easat-5272	202	3	633	633	NUM
easat-5272	202	4	-	-	SYM
easat-5272	202	5	650	650	NUM
easat-5272	202	6	,	,	PUNCT
easat-5272	202	7	2025	2025	NUM
easat-5272	202	8	doi	doi	NOUN
easat-5272	202	9	:	:	PUNCT
easat-5272	202	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	202	11	©	©	PROPN
easat-5272	202	12	2025	2025	NUM
easat-5272	202	13	by	by	ADP
easat-5272	202	14	the	the	DET
easat-5272	202	15	authors	author	NOUN
easat-5272	202	16	;	;	PUNCT
easat-5272	203	1	licensee	licensee	PROPN
easat-5272	203	2	learning	learn	VERB
easat-5272	203	3	gate	gate	PROPN
easat-5272	203	4	figure	figure	NOUN
easat-5272	203	5	10	10	NUM
easat-5272	203	6	.	.	PUNCT
easat-5272	203	7	results	result	NOUN
easat-5272	203	8	of	of	ADP
easat-5272	203	9	ablation	ablation	NOUN
easat-5272	203	10	experiments	experiment	NOUN
easat-5272	203	11	.	.	PUNCT
easat-5272	204	1	the	the	DET
easat-5272	204	2	without	without	ADP
easat-5272	204	3	emd	emd	PROPN
easat-5272	204	4	configuration	configuration	NOUN
easat-5272	204	5	exhibits	exhibit	VERB
easat-5272	204	6	slower	slow	ADJ
easat-5272	204	7	convergence	convergence	NOUN
easat-5272	204	8	and	and	CCONJ
easat-5272	204	9	lower	low	ADJ
easat-5272	204	10	final	final	ADJ
easat-5272	204	11	accuracy	accuracy	NOUN
easat-5272	204	12	,	,	PUNCT
easat-5272	204	13	highlighting	highlight	VERB
easat-5272	204	14	the	the	DET
easat-5272	204	15	importance	importance	NOUN
easat-5272	204	16	of	of	ADP
easat-5272	204	17	multi	multi	ADJ
easat-5272	204	18	-	-	ADJ
easat-5272	204	19	scale	scale	ADJ
easat-5272	204	20	feature	feature	NOUN
easat-5272	204	21	extraction	extraction	NOUN
easat-5272	204	22	provided	provide	VERB
easat-5272	204	23	by	by	ADP
easat-5272	204	24	emd	emd	PROPN
easat-5272	204	25	.	.	PUNCT
easat-5272	205	1	the	the	DET
easat-5272	205	2	without	without	ADP
easat-5272	205	3	transfer	transfer	NOUN
easat-5272	205	4	learning	learn	VERB
easat-5272	205	5	configuration	configuration	NOUN
easat-5272	205	6	struggles	struggle	NOUN
easat-5272	205	7	to	to	PART
easat-5272	205	8	converge	converge	VERB
easat-5272	205	9	efficiently	efficiently	ADV
easat-5272	205	10	,	,	PUNCT
easat-5272	205	11	emphasizing	emphasize	VERB
easat-5272	205	12	the	the	DET
easat-5272	205	13	value	value	NOUN
easat-5272	205	14	of	of	ADP
easat-5272	205	15	pre	pre	NOUN
easat-5272	205	16	-	-	NOUN
easat-5272	205	17	training	training	NOUN
easat-5272	205	18	on	on	ADP
easat-5272	205	19	the	the	DET
easat-5272	205	20	source	source	NOUN
easat-5272	205	21	domain	domain	NOUN
easat-5272	205	22	for	for	ADP
easat-5272	205	23	capturing	capture	VERB
easat-5272	205	24	transferable	transferable	ADJ
easat-5272	205	25	knowledge	knowledge	NOUN
easat-5272	205	26	.	.	PUNCT
easat-5272	206	1	these	these	DET
easat-5272	206	2	results	result	NOUN
easat-5272	206	3	validate	validate	VERB
easat-5272	206	4	the	the	DET
easat-5272	206	5	necessity	necessity	NOUN
easat-5272	206	6	of	of	ADP
easat-5272	206	7	incorporating	incorporate	VERB
easat-5272	206	8	both	both	DET
easat-5272	206	9	emd	emd	PROPN
easat-5272	206	10	and	and	CCONJ
easat-5272	206	11	transfer	transfer	VERB
easat-5272	206	12	learning	learning	NOUN
easat-5272	206	13	into	into	ADP
easat-5272	206	14	the	the	DET
easat-5272	206	15	proposed	propose	VERB
easat-5272	206	16	tl	tl	PROPN
easat-5272	206	17	-	-	PUNCT
easat-5272	206	18	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	206	19	framework	framework	NOUN
easat-5272	206	20	,	,	PUNCT
easat-5272	206	21	demonstrating	demonstrate	VERB
easat-5272	206	22	their	their	PRON
easat-5272	206	23	significant	significant	ADJ
easat-5272	206	24	impact	impact	NOUN
easat-5272	206	25	on	on	ADP
easat-5272	206	26	improving	improve	VERB
easat-5272	206	27	classification	classification	NOUN
easat-5272	206	28	accuracy	accuracy	NOUN
easat-5272	206	29	and	and	CCONJ
easat-5272	206	30	convergence	convergence	NOUN
easat-5272	206	31	speed	speed	NOUN
easat-5272	206	32	.	.	PUNCT
easat-5272	207	1	6	6	X
easat-5272	207	2	.	.	X
easat-5272	207	3	conclusion	conclusion	NOUN
easat-5272	207	4	in	in	ADP
easat-5272	207	5	this	this	DET
easat-5272	207	6	study	study	NOUN
easat-5272	207	7	,	,	PUNCT
easat-5272	207	8	a	a	DET
easat-5272	207	9	tl	tl	PROPN
easat-5272	207	10	-	-	PUNCT
easat-5272	207	11	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	207	12	incorporating	incorporate	VERB
easat-5272	207	13	transfer	transfer	NOUN
easat-5272	207	14	learning	learning	NOUN
easat-5272	207	15	is	be	AUX
easat-5272	207	16	proposed	propose	VERB
easat-5272	207	17	for	for	ADP
easat-5272	207	18	fault	fault	NOUN
easat-5272	207	19	diagnosis	diagnosis	NOUN
easat-5272	207	20	of	of	ADP
easat-5272	207	21	elevator	elevator	NOUN
easat-5272	207	22	guideways	guideway	NOUN
easat-5272	207	23	.	.	PUNCT
easat-5272	208	1	the	the	DET
easat-5272	208	2	model	model	NOUN
easat-5272	208	3	is	be	AUX
easat-5272	208	4	pre	pre	ADJ
easat-5272	208	5	-	-	VERB
easat-5272	208	6	trained	train	VERB
easat-5272	208	7	on	on	ADP
easat-5272	208	8	the	the	DET
easat-5272	208	9	cwru	cwru	NOUN
easat-5272	208	10	bearing	bear	VERB
easat-5272	208	11	dataset	dataset	NOUN
easat-5272	208	12	that	that	PRON
easat-5272	208	13	also	also	ADV
easat-5272	208	14	contains	contain	VERB
easat-5272	208	15	four	four	NUM
easat-5272	208	16	fault	fault	NOUN
easat-5272	208	17	types	type	NOUN
easat-5272	208	18	(	(	PUNCT
easat-5272	208	19	normal	normal	ADJ
easat-5272	208	20	,	,	PUNCT
easat-5272	208	21	inner	inner	ADJ
easat-5272	208	22	raceway	raceway	NOUN
easat-5272	208	23	,	,	PUNCT
easat-5272	208	24	outer	outer	ADJ
easat-5272	208	25	raceway	raceway	NOUN
easat-5272	208	26	,	,	PUNCT
easat-5272	208	27	and	and	CCONJ
easat-5272	208	28	ball	ball	NOUN
easat-5272	208	29	faults	fault	NOUN
easat-5272	208	30	)	)	PUNCT
easat-5272	208	31	,	,	PUNCT
easat-5272	208	32	which	which	PRON
easat-5272	208	33	provides	provide	VERB
easat-5272	208	34	transferable	transferable	ADJ
easat-5272	208	35	features	feature	NOUN
easat-5272	208	36	relevant	relevant	ADJ
easat-5272	208	37	to	to	ADP
easat-5272	208	38	elevator	elevator	NOUN
easat-5272	208	39	vibration	vibration	NOUN
easat-5272	208	40	signals	signal	NOUN
easat-5272	208	41	.	.	PUNCT
easat-5272	209	1	by	by	ADP
easat-5272	209	2	fine	fine	ADV
easat-5272	209	3	-	-	PUNCT
easat-5272	209	4	tuning	tune	VERB
easat-5272	209	5	the	the	DET
easat-5272	209	6	pre	pre	ADJ
easat-5272	209	7	-	-	ADJ
easat-5272	209	8	trained	train	VERB
easat-5272	209	9	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	209	10	on	on	ADP
easat-5272	209	11	the	the	DET
easat-5272	209	12	elevator	elevator	NOUN
easat-5272	209	13	guideway	guideway	NOUN
easat-5272	209	14	dataset	dataset	NOUN
easat-5272	209	15	,	,	PUNCT
easat-5272	209	16	the	the	DET
easat-5272	209	17	framework	framework	NOUN
easat-5272	209	18	effectively	effectively	ADV
easat-5272	209	19	addressed	address	VERB
easat-5272	209	20	the	the	DET
easat-5272	209	21	challenges	challenge	NOUN
easat-5272	209	22	posed	pose	VERB
easat-5272	209	23	by	by	ADP
easat-5272	209	24	small	small	ADJ
easat-5272	209	25	-	-	PUNCT
easat-5272	209	26	sample	sample	NOUN
easat-5272	209	27	scenarios	scenario	NOUN
easat-5272	209	28	,	,	PUNCT
easat-5272	209	29	mitigating	mitigate	VERB
easat-5272	209	30	overfitting	overfitting	NOUN
easat-5272	209	31	,	,	PUNCT
easat-5272	209	32	and	and	CCONJ
easat-5272	209	33	exhibits	exhibit	VERB
easat-5272	209	34	stable	stable	ADJ
easat-5272	209	35	convergence	convergence	NOUN
easat-5272	209	36	.	.	PUNCT
easat-5272	210	1	emd	emd	PROPN
easat-5272	210	2	is	be	AUX
easat-5272	210	3	utilized	utilize	VERB
easat-5272	210	4	to	to	PART
easat-5272	210	5	decompose	decompose	VERB
easat-5272	210	6	the	the	DET
easat-5272	210	7	complex	complex	ADJ
easat-5272	210	8	vibration	vibration	NOUN
easat-5272	210	9	signals	signal	NOUN
easat-5272	210	10	into	into	ADP
easat-5272	210	11	multiple	multiple	ADJ
easat-5272	210	12	imfs	imfs	NOUN
easat-5272	210	13	as	as	ADP
easat-5272	210	14	multi	multi	ADJ
easat-5272	210	15	-	-	ADJ
easat-5272	210	16	channel	channel	ADJ
easat-5272	210	17	inputs	input	NOUN
easat-5272	210	18	to	to	ADP
easat-5272	210	19	the	the	DET
easat-5272	210	20	mc-1dcnn	mc-1dcnn	NOUN
easat-5272	210	21	,	,	PUNCT
easat-5272	210	22	which	which	PRON
easat-5272	210	23	allows	allow	VERB
easat-5272	210	24	the	the	DET
easat-5272	210	25	network	network	NOUN
easat-5272	210	26	to	to	PART
easat-5272	210	27	perform	perform	VERB
easat-5272	210	28	convolution	convolution	NOUN
easat-5272	210	29	operations	operation	NOUN
easat-5272	210	30	on	on	ADP
easat-5272	210	31	different	different	ADJ
easat-5272	210	32	frequency	frequency	NOUN
easat-5272	210	33	bands	band	NOUN
easat-5272	210	34	to	to	PART
easat-5272	210	35	capture	capture	VERB
easat-5272	210	36	complementary	complementary	ADJ
easat-5272	210	37	multi	multi	ADJ
easat-5272	210	38	-	-	ADJ
easat-5272	210	39	scale	scale	ADJ
easat-5272	210	40	features	feature	NOUN
easat-5272	210	41	,	,	PUNCT
easat-5272	210	42	greatly	greatly	ADV
easat-5272	210	43	improving	improve	VERB
easat-5272	210	44	the	the	DET
easat-5272	210	45	model	model	NOUN
easat-5272	210	46	's	's	PART
easat-5272	210	47	ability	ability	NOUN
easat-5272	210	48	to	to	PART
easat-5272	210	49	analyze	analyze	VERB
easat-5272	210	50	non	non	ADJ
easat-5272	210	51	-	-	ADJ
easat-5272	210	52	stationary	stationary	ADJ
easat-5272	210	53	and	and	CCONJ
easat-5272	210	54	overlapping	overlap	VERB
easat-5272	210	55	fault	fault	NOUN
easat-5272	210	56	features	feature	NOUN
easat-5272	210	57	,	,	PUNCT
easat-5272	210	58	and	and	CCONJ
easat-5272	210	59	achieving	achieve	VERB
easat-5272	210	60	higher	high	ADJ
easat-5272	210	61	classification	classification	NOUN
easat-5272	210	62	accuracy	accuracy	NOUN
easat-5272	210	63	.	.	PUNCT
easat-5272	211	1	648	648	NUM
easat-5272	211	2	edelweiss	edelweiss	PROPN
easat-5272	211	3	applied	apply	VERB
easat-5272	211	4	science	science	NOUN
easat-5272	211	5	and	and	CCONJ
easat-5272	211	6	technology	technology	NOUN
easat-5272	211	7	issn	issn	PROPN
easat-5272	211	8	:	:	PUNCT
easat-5272	211	9	2576	2576	NUM
easat-5272	211	10	-	-	SYM
easat-5272	211	11	8484	8484	NUM
easat-5272	211	12	vol	vol	NOUN
easat-5272	211	13	.	.	PROPN
easat-5272	212	1	9	9	NUM
easat-5272	212	2	,	,	PUNCT
easat-5272	212	3	no	no	INTJ
easat-5272	212	4	.	.	NOUN
easat-5272	213	1	3	3	NUM
easat-5272	213	2	:	:	PUNCT
easat-5272	213	3	633	633	NUM
easat-5272	213	4	-	-	SYM
easat-5272	213	5	650	650	NUM
easat-5272	213	6	,	,	PUNCT
easat-5272	213	7	2025	2025	NUM
easat-5272	213	8	doi	doi	NOUN
easat-5272	213	9	:	:	PUNCT
easat-5272	213	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	213	11	©	©	PROPN
easat-5272	213	12	2025	2025	NUM
easat-5272	213	13	by	by	ADP
easat-5272	213	14	the	the	DET
easat-5272	213	15	authors	author	NOUN
easat-5272	213	16	;	;	PUNCT
easat-5272	213	17	licensee	licensee	PROPN
easat-5272	213	18	learning	learning	NOUN
easat-5272	213	19	gate	gate	VERB
easat-5272	213	20	comparative	comparative	ADJ
easat-5272	213	21	experiments	experiment	NOUN
easat-5272	213	22	with	with	ADP
easat-5272	213	23	mlp	mlp	NOUN
easat-5272	213	24	and	and	CCONJ
easat-5272	213	25	lstm	lstm	NOUN
easat-5272	213	26	validate	validate	VERB
easat-5272	213	27	the	the	DET
easat-5272	213	28	relative	relative	ADJ
easat-5272	213	29	superiority	superiority	NOUN
easat-5272	213	30	of	of	ADP
easat-5272	213	31	the	the	DET
easat-5272	213	32	proposed	propose	VERB
easat-5272	213	33	approach	approach	NOUN
easat-5272	213	34	,	,	PUNCT
easat-5272	213	35	and	and	CCONJ
easat-5272	213	36	ablation	ablation	NOUN
easat-5272	213	37	studies	study	NOUN
easat-5272	213	38	emphasize	emphasize	VERB
easat-5272	213	39	the	the	DET
easat-5272	213	40	critical	critical	ADJ
easat-5272	213	41	contribution	contribution	NOUN
easat-5272	213	42	of	of	ADP
easat-5272	213	43	emd	emd	PROPN
easat-5272	213	44	preprocessing	preprocessing	NOUN
easat-5272	213	45	and	and	CCONJ
easat-5272	213	46	transfer	transfer	VERB
easat-5272	213	47	learning	learning	NOUN
easat-5272	213	48	to	to	ADP
easat-5272	213	49	the	the	DET
easat-5272	213	50	framework	framework	NOUN
easat-5272	213	51	’s	’s	PART
easat-5272	213	52	performance	performance	NOUN
easat-5272	213	53	.	.	PUNCT
easat-5272	214	1	6.1	6.1	NUM
easat-5272	214	2	.	.	PUNCT
easat-5272	214	3	study	study	NOUN
easat-5272	214	4	limitation	limitation	NOUN
easat-5272	214	5	although	although	SCONJ
easat-5272	214	6	the	the	DET
easat-5272	214	7	proposed	propose	VERB
easat-5272	214	8	tl	tl	PROPN
easat-5272	214	9	-	-	PUNCT
easat-5272	214	10	mc-1dcnn	mc-1dcnn	PROPN
easat-5272	214	11	framework	framework	NOUN
easat-5272	214	12	performs	perform	VERB
easat-5272	214	13	well	well	ADV
easat-5272	214	14	in	in	ADP
easat-5272	214	15	diagnosing	diagnose	VERB
easat-5272	214	16	elevator	elevator	NOUN
easat-5272	214	17	guideway	guideway	NOUN
easat-5272	214	18	faults	fault	NOUN
easat-5272	214	19	,	,	PUNCT
easat-5272	214	20	it	it	PRON
easat-5272	214	21	still	still	ADV
easat-5272	214	22	suffers	suffer	VERB
easat-5272	214	23	from	from	ADP
easat-5272	214	24	several	several	ADJ
easat-5272	214	25	limitations	limitation	NOUN
easat-5272	214	26	.	.	PUNCT
easat-5272	215	1	first	first	ADV
easat-5272	215	2	,	,	PUNCT
easat-5272	215	3	the	the	DET
easat-5272	215	4	model	model	NOUN
easat-5272	215	5	relies	rely	VERB
easat-5272	215	6	heavily	heavily	ADV
easat-5272	215	7	on	on	ADP
easat-5272	215	8	the	the	DET
easat-5272	215	9	characteristic	characteristic	NOUN
easat-5272	215	10	and	and	CCONJ
easat-5272	215	11	diversity	diversity	NOUN
easat-5272	215	12	of	of	ADP
easat-5272	215	13	the	the	DET
easat-5272	215	14	training	training	NOUN
easat-5272	215	15	data	datum	NOUN
easat-5272	215	16	;	;	PUNCT
easat-5272	215	17	while	while	SCONJ
easat-5272	215	18	transfer	transfer	NOUN
easat-5272	215	19	learning	learning	NOUN
easat-5272	215	20	alleviates	alleviate	VERB
easat-5272	215	21	the	the	DET
easat-5272	215	22	challenge	challenge	NOUN
easat-5272	215	23	of	of	ADP
easat-5272	215	24	small	small	ADJ
easat-5272	215	25	sample	sample	NOUN
easat-5272	215	26	size	size	NOUN
easat-5272	215	27	,	,	PUNCT
easat-5272	215	28	real	real	ADJ
easat-5272	215	29	fault	fault	NOUN
easat-5272	215	30	datasets	dataset	NOUN
easat-5272	215	31	with	with	ADP
easat-5272	215	32	different	different	ADJ
easat-5272	215	33	operating	operating	NOUN
easat-5272	215	34	conditions	condition	NOUN
easat-5272	215	35	may	may	AUX
easat-5272	215	36	affect	affect	VERB
easat-5272	215	37	its	its	PRON
easat-5272	215	38	generalization	generalization	NOUN
easat-5272	215	39	to	to	ADP
easat-5272	215	40	completely	completely	ADV
easat-5272	215	41	new	new	ADJ
easat-5272	215	42	scenarios	scenario	NOUN
easat-5272	215	43	.	.	PUNCT
easat-5272	216	1	second	second	ADJ
easat-5272	216	2	,	,	PUNCT
easat-5272	216	3	the	the	DET
easat-5272	216	4	computational	computational	ADJ
easat-5272	216	5	complexity	complexity	NOUN
easat-5272	216	6	of	of	ADP
easat-5272	216	7	multi	multi	ADJ
easat-5272	216	8	-	-	ADJ
easat-5272	216	9	channel	channel	ADJ
easat-5272	216	10	convolutional	convolutional	ADJ
easat-5272	216	11	operations	operation	NOUN
easat-5272	216	12	and	and	CCONJ
easat-5272	216	13	emd	emd	PROPN
easat-5272	216	14	preprocessing	preprocessing	NOUN
easat-5272	216	15	may	may	AUX
easat-5272	216	16	pose	pose	VERB
easat-5272	216	17	challenges	challenge	NOUN
easat-5272	216	18	for	for	ADP
easat-5272	216	19	real	real	ADJ
easat-5272	216	20	-	-	PUNCT
easat-5272	216	21	time	time	NOUN
easat-5272	216	22	implementation	implementation	NOUN
easat-5272	216	23	in	in	ADP
easat-5272	216	24	resource	resource	NOUN
easat-5272	216	25	-	-	PUNCT
easat-5272	216	26	constrained	constrain	VERB
easat-5272	216	27	systems	system	NOUN
easat-5272	216	28	.	.	PUNCT
easat-5272	217	1	6.2	6.2	NUM
easat-5272	217	2	.	.	PUNCT
easat-5272	218	1	future	future	ADJ
easat-5272	218	2	work	work	NOUN
easat-5272	218	3	try	try	VERB
easat-5272	218	4	to	to	PART
easat-5272	218	5	enhancing	enhance	VERB
easat-5272	218	6	the	the	DET
easat-5272	218	7	generalization	generalization	NOUN
easat-5272	218	8	ability	ability	NOUN
easat-5272	218	9	of	of	ADP
easat-5272	218	10	the	the	DET
easat-5272	218	11	proposed	propose	VERB
easat-5272	218	12	framework	framework	NOUN
easat-5272	218	13	under	under	ADP
easat-5272	218	14	variable	variable	ADJ
easat-5272	218	15	operating	operating	NOUN
easat-5272	218	16	conditions	condition	NOUN
easat-5272	218	17	and	and	CCONJ
easat-5272	218	18	further	far	ADV
easat-5272	218	19	reducing	reduce	VERB
easat-5272	218	20	its	its	PRON
easat-5272	218	21	computational	computational	ADJ
easat-5272	218	22	complexity	complexity	NOUN
easat-5272	218	23	to	to	PART
easat-5272	218	24	enable	enable	VERB
easat-5272	218	25	real	real	ADJ
easat-5272	218	26	-	-	PUNCT
easat-5272	218	27	time	time	NOUN
easat-5272	218	28	fault	fault	NOUN
easat-5272	218	29	diagnosis	diagnosis	NOUN
easat-5272	218	30	in	in	ADP
easat-5272	218	31	resource	resource	NOUN
easat-5272	218	32	-	-	PUNCT
easat-5272	218	33	constrained	constrain	VERB
easat-5272	218	34	systems	system	NOUN
easat-5272	218	35	.	.	PUNCT
easat-5272	219	1	additionally	additionally	ADV
easat-5272	219	2	,	,	PUNCT
easat-5272	219	3	efforts	effort	NOUN
easat-5272	219	4	will	will	AUX
easat-5272	219	5	be	be	AUX
easat-5272	219	6	directed	direct	VERB
easat-5272	219	7	toward	toward	ADP
easat-5272	219	8	advancing	advance	VERB
easat-5272	219	9	its	its	PRON
easat-5272	219	10	applicability	applicability	NOUN
easat-5272	219	11	to	to	ADP
easat-5272	219	12	few	few	ADJ
easat-5272	219	13	-	-	PUNCT
easat-5272	219	14	shot	shot	NOUN
easat-5272	219	15	and	and	CCONJ
easat-5272	219	16	zero	zero	NUM
easat-5272	219	17	-	-	PUNCT
easat-5272	219	18	shot	shot	NOUN
easat-5272	219	19	learning	learn	VERB
easat-5272	219	20	scenarios	scenario	NOUN
easat-5272	219	21	,	,	PUNCT
easat-5272	219	22	enabling	enable	VERB
easat-5272	219	23	accurate	accurate	ADJ
easat-5272	219	24	diagnosis	diagnosis	NOUN
easat-5272	219	25	of	of	ADP
easat-5272	219	26	unseen	unseen	ADJ
easat-5272	219	27	fault	fault	NOUN
easat-5272	219	28	types	type	NOUN
easat-5272	219	29	with	with	ADP
easat-5272	219	30	minimal	minimal	ADJ
easat-5272	219	31	or	or	CCONJ
easat-5272	219	32	no	no	DET
easat-5272	219	33	labeled	label	VERB
easat-5272	219	34	samples	sample	NOUN
easat-5272	219	35	[	[	X
easat-5272	219	36	35	35	NUM
easat-5272	219	37	]	]	PUNCT
easat-5272	219	38	.	.	PUNCT
easat-5272	220	1	transparency	transparency	NOUN
easat-5272	220	2	:	:	PUNCT
easat-5272	220	3	the	the	DET
easat-5272	220	4	authors	author	NOUN
easat-5272	220	5	confirm	confirm	VERB
easat-5272	220	6	that	that	SCONJ
easat-5272	220	7	the	the	DET
easat-5272	220	8	manuscript	manuscript	NOUN
easat-5272	220	9	is	be	AUX
easat-5272	220	10	an	an	DET
easat-5272	220	11	honest	honest	ADJ
easat-5272	220	12	,	,	PUNCT
easat-5272	220	13	accurate	accurate	ADJ
easat-5272	220	14	and	and	CCONJ
easat-5272	220	15	transparent	transparent	ADJ
easat-5272	220	16	account	account	NOUN
easat-5272	220	17	of	of	ADP
easat-5272	220	18	the	the	DET
easat-5272	220	19	study	study	NOUN
easat-5272	220	20	that	that	SCONJ
easat-5272	220	21	no	no	DET
easat-5272	220	22	vital	vital	ADJ
easat-5272	220	23	features	feature	NOUN
easat-5272	220	24	of	of	ADP
easat-5272	220	25	the	the	DET
easat-5272	220	26	study	study	NOUN
easat-5272	220	27	have	have	AUX
easat-5272	220	28	been	be	AUX
easat-5272	220	29	omitted	omit	VERB
easat-5272	220	30	and	and	CCONJ
easat-5272	220	31	that	that	SCONJ
easat-5272	220	32	any	any	DET
easat-5272	220	33	discrepancies	discrepancy	NOUN
easat-5272	220	34	from	from	ADP
easat-5272	220	35	the	the	DET
easat-5272	220	36	study	study	NOUN
easat-5272	220	37	as	as	SCONJ
easat-5272	220	38	planned	plan	VERB
easat-5272	220	39	have	have	AUX
easat-5272	220	40	been	be	AUX
easat-5272	220	41	explained	explain	VERB
easat-5272	220	42	.	.	PUNCT
easat-5272	221	1	this	this	DET
easat-5272	221	2	study	study	NOUN
easat-5272	221	3	followed	follow	VERB
easat-5272	221	4	all	all	DET
easat-5272	221	5	ethical	ethical	ADJ
easat-5272	221	6	practices	practice	NOUN
easat-5272	221	7	during	during	ADP
easat-5272	221	8	writing	writing	NOUN
easat-5272	221	9	.	.	PUNCT
easat-5272	222	1	acknowledgments	acknowledgment	NOUN
easat-5272	222	2	:	:	PUNCT
easat-5272	222	3	this	this	DET
easat-5272	222	4	work	work	NOUN
easat-5272	222	5	was	be	AUX
easat-5272	222	6	supported	support	VERB
easat-5272	222	7	by	by	ADP
easat-5272	222	8	mahasarakham	mahasarakham	PROPN
easat-5272	222	9	university	university	PROPN
easat-5272	222	10	in	in	ADP
easat-5272	222	11	thailand	thailand	PROPN
easat-5272	222	12	.	.	PUNCT
easat-5272	223	1	the	the	DET
easat-5272	223	2	authors	author	NOUN
easat-5272	223	3	extend	extend	VERB
easat-5272	223	4	their	their	PRON
easat-5272	223	5	sincere	sincere	ADJ
easat-5272	223	6	appreciation	appreciation	NOUN
easat-5272	223	7	to	to	ADP
easat-5272	223	8	the	the	DET
easat-5272	223	9	faculty	faculty	NOUN
easat-5272	223	10	of	of	ADP
easat-5272	223	11	engineering	engineering	PROPN
easat-5272	223	12	,	,	PUNCT
easat-5272	223	13	mahasarakham	mahasarakham	PROPN
easat-5272	223	14	university	university	PROPN
easat-5272	223	15	,	,	PUNCT
easat-5272	223	16	and	and	CCONJ
easat-5272	223	17	hunan	hunan	PROPN
easat-5272	223	18	mechanical	mechanical	PROPN
easat-5272	223	19	&	&	CCONJ
easat-5272	223	20	electrical	electrical	ADJ
easat-5272	223	21	polytechnic	polytechnic	NOUN
easat-5272	223	22	in	in	ADP
easat-5272	223	23	china	china	PROPN
easat-5272	223	24	,	,	PUNCT
easat-5272	223	25	for	for	ADP
easat-5272	223	26	providing	provide	VERB
easat-5272	223	27	essential	essential	ADJ
easat-5272	223	28	facilities	facility	NOUN
easat-5272	223	29	and	and	CCONJ
easat-5272	223	30	support	support	NOUN
easat-5272	223	31	.	.	PUNCT
easat-5272	224	1	copyright	copyright	NOUN
easat-5272	224	2	:	:	PUNCT
easat-5272	224	3	©	©	PROPN
easat-5272	224	4	2024	2024	NUM
easat-5272	224	5	by	by	ADP
easat-5272	224	6	the	the	DET
easat-5272	224	7	authors	author	NOUN
easat-5272	224	8	.	.	PUNCT
easat-5272	225	1	this	this	DET
easat-5272	225	2	article	article	NOUN
easat-5272	225	3	is	be	AUX
easat-5272	225	4	an	an	DET
easat-5272	225	5	open	open	ADJ
easat-5272	225	6	access	access	NOUN
easat-5272	225	7	article	article	NOUN
easat-5272	225	8	distributed	distribute	VERB
easat-5272	225	9	under	under	ADP
easat-5272	225	10	the	the	DET
easat-5272	225	11	terms	term	NOUN
easat-5272	225	12	and	and	CCONJ
easat-5272	225	13	conditions	condition	NOUN
easat-5272	225	14	of	of	ADP
easat-5272	225	15	the	the	DET
easat-5272	225	16	creative	creative	ADJ
easat-5272	225	17	commons	common	NOUN
easat-5272	225	18	attribution	attribution	NOUN
easat-5272	225	19	(	(	PUNCT
easat-5272	225	20	cc	cc	NOUN
easat-5272	225	21	by	by	ADP
easat-5272	225	22	)	)	PUNCT
easat-5272	225	23	license	license	NOUN
easat-5272	225	24	(	(	PUNCT
easat-5272	225	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5272	225	26	)	)	PUNCT
easat-5272	225	27	.	.	PUNCT
easat-5272	226	1	references	reference	NOUN
easat-5272	226	2	[	[	X
easat-5272	226	3	1	1	NUM
easat-5272	226	4	]	]	PUNCT
easat-5272	226	5	l.	l.	PROPN
easat-5272	226	6	qiu	qiu	PROPN
easat-5272	226	7	et	et	PROPN
easat-5272	226	8	al	al	PROPN
easat-5272	226	9	.	.	PROPN
easat-5272	226	10	,	,	PUNCT
easat-5272	226	11	"	"	PUNCT
easat-5272	226	12	energy	energy	NOUN
easat-5272	226	13	-	-	PUNCT
easat-5272	226	14	based	base	VERB
easat-5272	226	15	vibration	vibration	NOUN
easat-5272	226	16	modeling	modeling	NOUN
easat-5272	226	17	and	and	CCONJ
easat-5272	226	18	solution	solution	NOUN
easat-5272	226	19	of	of	ADP
easat-5272	226	20	high	high	ADJ
easat-5272	226	21	-	-	PUNCT
easat-5272	226	22	speed	speed	NOUN
easat-5272	226	23	elevators	elevator	NOUN
easat-5272	226	24	considering	consider	VERB
easat-5272	226	25	the	the	DET
easat-5272	226	26	multi	multi	ADJ
easat-5272	226	27	-	-	ADJ
easat-5272	226	28	direction	direction	ADJ
easat-5272	226	29	coupling	coupling	NOUN
easat-5272	226	30	property	property	NOUN
easat-5272	226	31	,	,	PUNCT
easat-5272	226	32	"	"	PUNCT
easat-5272	226	33	energies	energy	NOUN
easat-5272	226	34	,	,	PUNCT
easat-5272	226	35	vol	vol	NOUN
easat-5272	226	36	.	.	PROPN
easat-5272	226	37	13	13	NUM
easat-5272	226	38	,	,	PUNCT
easat-5272	226	39	no	no	INTJ
easat-5272	226	40	.	.	NOUN
easat-5272	226	41	18	18	NUM
easat-5272	226	42	,	,	PUNCT
easat-5272	226	43	p.	p.	NOUN
easat-5272	226	44	4821	4821	NUM
easat-5272	226	45	,	,	PUNCT
easat-5272	226	46	2020	2020	NUM
easat-5272	226	47	.	.	PUNCT
easat-5272	227	1	https://doi.org/10.3390/en13184821	https://doi.org/10.3390/en13184821	VERB
easat-5272	228	1	[	[	X
easat-5272	228	2	2	2	NUM
easat-5272	228	3	]	]	PUNCT
easat-5272	228	4	h.	h.	PROPN
easat-5272	228	5	zhou	zhou	PROPN
easat-5272	228	6	,	,	PUNCT
easat-5272	228	7	s.	s.	PROPN
easat-5272	228	8	zhang	zhang	PROPN
easat-5272	228	9	,	,	PUNCT
easat-5272	228	10	l.	l.	PROPN
easat-5272	228	11	qiu	qiu	PROPN
easat-5272	228	12	,	,	PUNCT
easat-5272	228	13	z.	z.	PROPN
easat-5272	228	14	wang	wang	PROPN
easat-5272	228	15	,	,	PUNCT
easat-5272	228	16	and	and	CCONJ
easat-5272	228	17	h.	h.	PROPN
easat-5272	228	18	li	li	PROPN
easat-5272	228	19	,	,	PUNCT
easat-5272	228	20	"	"	PUNCT
easat-5272	228	21	the	the	DET
easat-5272	228	22	multi	multi	ADJ
easat-5272	228	23	-	-	ADJ
easat-5272	228	24	component	component	ADJ
easat-5272	228	25	coupling	couple	VERB
easat-5272	228	26	horizontal	horizontal	ADJ
easat-5272	228	27	vibration	vibration	NOUN
easat-5272	228	28	modeling	model	VERB
easat-5272	228	29	technology	technology	NOUN
easat-5272	228	30	of	of	ADP
easat-5272	228	31	the	the	DET
easat-5272	228	32	high	high	ADJ
easat-5272	228	33	-	-	PUNCT
easat-5272	228	34	speed	speed	NOUN
easat-5272	228	35	elevator	elevator	NOUN
easat-5272	228	36	and	and	CCONJ
easat-5272	228	37	analysis	analysis	NOUN
easat-5272	228	38	of	of	ADP
easat-5272	228	39	its	its	PRON
easat-5272	228	40	influencing	influence	VERB
easat-5272	228	41	factors	factor	NOUN
easat-5272	228	42	,	,	PUNCT
easat-5272	228	43	"	"	PUNCT
easat-5272	228	44	proceedings	proceeding	NOUN
easat-5272	228	45	of	of	ADP
easat-5272	228	46	the	the	DET
easat-5272	228	47	institution	institution	NOUN
easat-5272	228	48	of	of	ADP
easat-5272	228	49	mechanical	mechanical	ADJ
easat-5272	228	50	engineers	engineer	NOUN
easat-5272	228	51	,	,	PUNCT
easat-5272	228	52	part	part	NOUN
easat-5272	228	53	c	c	NOUN
easat-5272	228	54	:	:	PUNCT
easat-5272	228	55	journal	journal	NOUN
easat-5272	228	56	of	of	ADP
easat-5272	228	57	mechanical	mechanical	ADJ
easat-5272	228	58	engineering	engineering	NOUN
easat-5272	228	59	science	science	NOUN
easat-5272	228	60	,	,	PUNCT
easat-5272	228	61	vol	vol	NOUN
easat-5272	228	62	.	.	PROPN
easat-5272	228	63	236	236	NUM
easat-5272	228	64	,	,	PUNCT
easat-5272	228	65	no	no	INTJ
easat-5272	228	66	.	.	NOUN
easat-5272	228	67	11	11	NUM
easat-5272	228	68	,	,	PUNCT
easat-5272	228	69	pp	pp	ADJ
easat-5272	228	70	.	.	PUNCT
easat-5272	228	71	5850	5850	NUM
easat-5272	228	72	-	-	SYM
easat-5272	228	73	5869	5869	NUM
easat-5272	228	74	,	,	PUNCT
easat-5272	228	75	2022	2022	NUM
easat-5272	228	76	.	.	PUNCT
easat-5272	229	1	https://doi.org/10.1177/095440622110631	https://doi.org/10.1177/095440622110631	PRON
easat-5272	230	1	[	[	X
easat-5272	230	2	3	3	X
easat-5272	230	3	]	]	PUNCT
easat-5272	230	4	j.	j.	PROPN
easat-5272	230	5	cen	cen	PROPN
easat-5272	230	6	,	,	PUNCT
easat-5272	230	7	z.	z.	PROPN
easat-5272	230	8	yang	yang	PROPN
easat-5272	230	9	,	,	PUNCT
easat-5272	230	10	x.	x.	PROPN
easat-5272	230	11	liu	liu	PROPN
easat-5272	230	12	,	,	PUNCT
easat-5272	230	13	j.	j.	PROPN
easat-5272	230	14	xiong	xiong	PROPN
easat-5272	230	15	,	,	PUNCT
easat-5272	230	16	and	and	CCONJ
easat-5272	230	17	h.	h.	PROPN
easat-5272	230	18	chen	chen	PROPN
easat-5272	230	19	,	,	PUNCT
easat-5272	230	20	"	"	PUNCT
easat-5272	230	21	a	a	DET
easat-5272	230	22	review	review	NOUN
easat-5272	230	23	of	of	ADP
easat-5272	230	24	data	data	NOUN
easat-5272	230	25	-	-	PUNCT
easat-5272	230	26	driven	drive	VERB
easat-5272	230	27	machinery	machinery	NOUN
easat-5272	230	28	fault	fault	NOUN
easat-5272	230	29	diagnosis	diagnosis	NOUN
easat-5272	230	30	using	use	VERB
easat-5272	230	31	machine	machine	NOUN
easat-5272	230	32	learning	learning	NOUN
easat-5272	230	33	algorithms	algorithm	NOUN
easat-5272	230	34	,	,	PUNCT
easat-5272	230	35	"	"	PUNCT
easat-5272	230	36	journal	journal	NOUN
easat-5272	230	37	of	of	ADP
easat-5272	230	38	vibration	vibration	NOUN
easat-5272	230	39	engineering	engineering	NOUN
easat-5272	230	40	&	&	CCONJ
easat-5272	230	41	technologies	technologies	PROPN
easat-5272	230	42	,	,	PUNCT
easat-5272	230	43	vol	vol	NOUN
easat-5272	230	44	.	.	PROPN
easat-5272	230	45	10	10	NUM
easat-5272	230	46	,	,	PUNCT
easat-5272	230	47	no	no	INTJ
easat-5272	230	48	.	.	NOUN
easat-5272	230	49	7	7	NUM
easat-5272	230	50	,	,	PUNCT
easat-5272	230	51	pp	pp	ADJ
easat-5272	230	52	.	.	PUNCT
easat-5272	231	1	2481	2481	NUM
easat-5272	231	2	-	-	SYM
easat-5272	231	3	2507	2507	NUM
easat-5272	231	4	,	,	PUNCT
easat-5272	231	5	2022	2022	NUM
easat-5272	231	6	.	.	PUNCT
easat-5272	232	1	https://doi.org/10.1007/s42417-022-00498-9	https://doi.org/10.1007/s42417-022-00498-9	NOUN
easat-5272	233	1	[	[	X
easat-5272	233	2	4	4	X
easat-5272	233	3	]	]	PUNCT
easat-5272	233	4	s.	s.	PROPN
easat-5272	233	5	dargan	dargan	PROPN
easat-5272	233	6	,	,	PUNCT
easat-5272	233	7	m.	m.	PROPN
easat-5272	233	8	kumar	kumar	PROPN
easat-5272	233	9	,	,	PUNCT
easat-5272	233	10	m.	m.	PROPN
easat-5272	233	11	r.	r.	PROPN
easat-5272	233	12	ayyagari	ayyagari	PROPN
easat-5272	233	13	,	,	PUNCT
easat-5272	233	14	and	and	CCONJ
easat-5272	233	15	g.	g.	PROPN
easat-5272	233	16	kumar	kumar	PROPN
easat-5272	233	17	,	,	PUNCT
easat-5272	233	18	"	"	PUNCT
easat-5272	233	19	a	a	DET
easat-5272	233	20	survey	survey	NOUN
easat-5272	233	21	of	of	ADP
easat-5272	233	22	deep	deep	ADJ
easat-5272	233	23	learning	learning	NOUN
easat-5272	233	24	and	and	CCONJ
easat-5272	233	25	its	its	PRON
easat-5272	233	26	applications	application	NOUN
easat-5272	233	27	:	:	PUNCT
easat-5272	233	28	a	a	DET
easat-5272	233	29	new	new	ADJ
easat-5272	233	30	paradigm	paradigm	NOUN
easat-5272	233	31	to	to	ADP
easat-5272	233	32	machine	machine	NOUN
easat-5272	233	33	learning	learning	NOUN
easat-5272	233	34	,	,	PUNCT
easat-5272	233	35	"	"	PUNCT
easat-5272	233	36	archives	archive	NOUN
easat-5272	233	37	of	of	ADP
easat-5272	233	38	computational	computational	ADJ
easat-5272	233	39	methods	method	NOUN
easat-5272	233	40	in	in	ADP
easat-5272	233	41	engineering	engineering	NOUN
easat-5272	233	42	,	,	PUNCT
easat-5272	233	43	vol	vol	NOUN
easat-5272	233	44	.	.	PROPN
easat-5272	234	1	27	27	NUM
easat-5272	234	2	,	,	PUNCT
easat-5272	234	3	pp	pp	ADJ
easat-5272	234	4	.	.	PUNCT
easat-5272	235	1	1071	1071	NUM
easat-5272	235	2	-	-	SYM
easat-5272	235	3	1092	1092	NUM
easat-5272	235	4	,	,	PUNCT
easat-5272	235	5	2020	2020	NUM
easat-5272	235	6	.	.	PUNCT
easat-5272	236	1	https://doi.org/10.1007/s11831-019-09344-w	https://doi.org/10.1007/s11831-019-09344-w	X
easat-5272	237	1	[	[	X
easat-5272	237	2	5	5	NUM
easat-5272	237	3	]	]	PUNCT
easat-5272	237	4	m.	m.	NOUN
easat-5272	237	5	iman	iman	PROPN
easat-5272	237	6	,	,	PUNCT
easat-5272	237	7	h.	h.	PROPN
easat-5272	237	8	r.	r.	PROPN
easat-5272	237	9	arabnia	arabnia	PROPN
easat-5272	237	10	,	,	PUNCT
easat-5272	237	11	and	and	CCONJ
easat-5272	237	12	k.	k.	PROPN
easat-5272	237	13	rasheed	rasheed	PROPN
easat-5272	237	14	,	,	PUNCT
easat-5272	237	15	"	"	PUNCT
easat-5272	237	16	a	a	DET
easat-5272	237	17	review	review	NOUN
easat-5272	237	18	of	of	ADP
easat-5272	237	19	deep	deep	ADJ
easat-5272	237	20	transfer	transfer	NOUN
easat-5272	237	21	learning	learning	NOUN
easat-5272	237	22	and	and	CCONJ
easat-5272	237	23	recent	recent	ADJ
easat-5272	237	24	advancements	advancement	NOUN
easat-5272	237	25	,	,	PUNCT
easat-5272	237	26	"	"	PUNCT
easat-5272	237	27	technologies	technology	NOUN
easat-5272	237	28	,	,	PUNCT
easat-5272	237	29	vol	vol	NOUN
easat-5272	237	30	.	.	PROPN
easat-5272	237	31	11	11	NUM
easat-5272	237	32	,	,	PUNCT
easat-5272	237	33	no	no	INTJ
easat-5272	237	34	.	.	NOUN
easat-5272	237	35	2	2	NUM
easat-5272	237	36	,	,	PUNCT
easat-5272	237	37	p.	p.	NOUN
easat-5272	237	38	40	40	NUM
easat-5272	237	39	,	,	PUNCT
easat-5272	237	40	2023	2023	NUM
easat-5272	237	41	.	.	PUNCT
easat-5272	238	1	https://doi.org/10.3390/technologies11020040	https://doi.org/10.3390/technologies11020040	NOUN
easat-5272	238	2	[	[	PUNCT
easat-5272	238	3	6	6	NUM
easat-5272	238	4	]	]	PUNCT
easat-5272	238	5	f.	f.	PROPN
easat-5272	238	6	lu	lu	PROPN
easat-5272	238	7	et	et	PROPN
easat-5272	238	8	al	al	PROPN
easat-5272	238	9	.	.	PROPN
easat-5272	238	10	,	,	PUNCT
easat-5272	238	11	"	"	PUNCT
easat-5272	238	12	explainable	explainable	ADJ
easat-5272	238	13	1dcnn	1dcnn	NUM
easat-5272	238	14	with	with	ADP
easat-5272	238	15	demodulated	demodulated	ADJ
easat-5272	238	16	frequency	frequency	NOUN
easat-5272	238	17	features	feature	NOUN
easat-5272	238	18	method	method	NOUN
easat-5272	238	19	for	for	ADP
easat-5272	238	20	fault	fault	NOUN
easat-5272	238	21	diagnosis	diagnosis	NOUN
easat-5272	238	22	of	of	ADP
easat-5272	238	23	rolling	rolling	ADJ
easat-5272	238	24	bearing	bearing	NOUN
easat-5272	238	25	under	under	ADP
easat-5272	238	26	time	time	NOUN
easat-5272	238	27	-	-	PUNCT
easat-5272	238	28	varying	vary	VERB
easat-5272	238	29	speed	speed	NOUN
easat-5272	238	30	conditions	condition	NOUN
easat-5272	238	31	,	,	PUNCT
easat-5272	238	32	"	"	PUNCT
easat-5272	238	33	measurement	measurement	NOUN
easat-5272	238	34	science	science	NOUN
easat-5272	238	35	and	and	CCONJ
easat-5272	238	36	technology	technology	NOUN
easat-5272	238	37	,	,	PUNCT
easat-5272	238	38	vol	vol	NOUN
easat-5272	238	39	.	.	PROPN
easat-5272	239	1	33	33	NUM
easat-5272	239	2	,	,	PUNCT
easat-5272	239	3	no	no	INTJ
easat-5272	239	4	.	.	NOUN
easat-5272	239	5	9	9	NUM
easat-5272	239	6	,	,	PUNCT
easat-5272	239	7	p.	p.	NOUN
easat-5272	239	8	095022	095022	NUM
easat-5272	239	9	,	,	PUNCT
easat-5272	239	10	2022	2022	NUM
easat-5272	239	11	.	.	PUNCT
easat-5272	240	1	https://doi.org/10.1088/1361-6501/ac78c5	https://doi.org/10.1088/1361-6501/ac78c5	PROPN
easat-5272	240	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5272	240	3	https://doi.org/10.3390/en13184821	https://doi.org/10.3390/en13184821	VERB
easat-5272	240	4	https://doi.org/10.1177/095440622110631	https://doi.org/10.1177/095440622110631	NOUN
easat-5272	240	5	https://doi.org/10.1007/s42417-022-00498-9	https://doi.org/10.1007/s42417-022-00498-9	NOUN
easat-5272	240	6	https://doi.org/10.1007/s11831-019-09344-w	https://doi.org/10.1007/s11831-019-09344-w	INTJ
easat-5272	240	7	https://doi.org/10.3390/technologies11020040	https://doi.org/10.3390/technologies11020040	VERB
easat-5272	240	8	https://doi.org/10.1088/1361-6501/ac78c5	https://doi.org/10.1088/1361-6501/ac78c5	PROPN
easat-5272	240	9	649	649	NUM
easat-5272	240	10	edelweiss	edelweiss	PROPN
easat-5272	240	11	applied	apply	VERB
easat-5272	240	12	science	science	NOUN
easat-5272	240	13	and	and	CCONJ
easat-5272	240	14	technology	technology	NOUN
easat-5272	240	15	issn	issn	PROPN
easat-5272	240	16	:	:	PUNCT
easat-5272	240	17	2576	2576	NUM
easat-5272	240	18	-	-	SYM
easat-5272	240	19	8484	8484	NUM
easat-5272	240	20	vol	vol	NOUN
easat-5272	240	21	.	.	PROPN
easat-5272	241	1	9	9	NUM
easat-5272	241	2	,	,	PUNCT
easat-5272	241	3	no	no	INTJ
easat-5272	241	4	.	.	NOUN
easat-5272	242	1	3	3	NUM
easat-5272	242	2	:	:	PUNCT
easat-5272	242	3	633	633	NUM
easat-5272	242	4	-	-	SYM
easat-5272	242	5	650	650	NUM
easat-5272	242	6	,	,	PUNCT
easat-5272	242	7	2025	2025	NUM
easat-5272	242	8	doi	doi	NOUN
easat-5272	242	9	:	:	PUNCT
easat-5272	242	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	242	11	©	©	PROPN
easat-5272	242	12	2025	2025	NUM
easat-5272	242	13	by	by	ADP
easat-5272	242	14	the	the	DET
easat-5272	242	15	authors	author	NOUN
easat-5272	242	16	;	;	PUNCT
easat-5272	242	17	licensee	licensee	PROPN
easat-5272	242	18	learning	learning	NOUN
easat-5272	242	19	gate	gate	NOUN
easat-5272	243	1	[	[	X
easat-5272	243	2	7	7	NUM
easat-5272	243	3	]	]	X
easat-5272	243	4	y.	y.	PROPN
easat-5272	243	5	shen	shen	PROPN
easat-5272	243	6	,	,	PUNCT
easat-5272	243	7	p.	p.	PROPN
easat-5272	243	8	wang	wang	PROPN
easat-5272	243	9	,	,	PUNCT
easat-5272	243	10	x.	x.	PROPN
easat-5272	243	11	wang	wang	PROPN
easat-5272	243	12	,	,	PUNCT
easat-5272	243	13	and	and	CCONJ
easat-5272	243	14	k.	k.	PROPN
easat-5272	243	15	sun	sun	PROPN
easat-5272	243	16	,	,	PUNCT
easat-5272	243	17	"	"	PUNCT
easat-5272	243	18	application	application	NOUN
easat-5272	243	19	of	of	ADP
easat-5272	243	20	empirical	empirical	ADJ
easat-5272	243	21	mode	mode	NOUN
easat-5272	243	22	decomposition	decomposition	NOUN
easat-5272	243	23	and	and	CCONJ
easat-5272	243	24	extreme	extreme	ADJ
easat-5272	243	25	learning	learn	VERB
easat-5272	243	26	machine	machine	NOUN
easat-5272	243	27	algorithms	algorithm	NOUN
easat-5272	243	28	on	on	ADP
easat-5272	243	29	prediction	prediction	NOUN
easat-5272	243	30	of	of	ADP
easat-5272	243	31	the	the	DET
easat-5272	243	32	surface	surface	NOUN
easat-5272	243	33	vibration	vibration	NOUN
easat-5272	243	34	signal	signal	NOUN
easat-5272	243	35	,	,	PUNCT
easat-5272	243	36	"	"	PUNCT
easat-5272	243	37	energies	energy	NOUN
easat-5272	243	38	,	,	PUNCT
easat-5272	243	39	vol	vol	NOUN
easat-5272	243	40	.	.	PROPN
easat-5272	243	41	14	14	NUM
easat-5272	243	42	,	,	PUNCT
easat-5272	243	43	no	no	INTJ
easat-5272	243	44	.	.	NOUN
easat-5272	243	45	22	22	NUM
easat-5272	243	46	,	,	PUNCT
easat-5272	243	47	p.	p.	NOUN
easat-5272	243	48	7519	7519	NUM
easat-5272	243	49	,	,	PUNCT
easat-5272	243	50	2021	2021	NUM
easat-5272	243	51	.	.	PUNCT
easat-5272	243	52	https://doi.org/10.3390/en14227519	https://doi.org/10.3390/en14227519	PART
easat-5272	244	1	[	[	X
easat-5272	244	2	8	8	NUM
easat-5272	244	3	]	]	PUNCT
easat-5272	244	4	j.	j.	PROPN
easat-5272	244	5	hendriks	hendriks	PROPN
easat-5272	244	6	,	,	PUNCT
easat-5272	244	7	p.	p.	PROPN
easat-5272	244	8	dumond	dumond	PROPN
easat-5272	244	9	,	,	PUNCT
easat-5272	244	10	and	and	CCONJ
easat-5272	244	11	d.	d.	PROPN
easat-5272	244	12	knox	knox	PROPN
easat-5272	244	13	,	,	PUNCT
easat-5272	244	14	"	"	PUNCT
easat-5272	244	15	towards	towards	ADP
easat-5272	244	16	better	well	ADV
easat-5272	244	17	benchmarking	benchmarking	NOUN
easat-5272	244	18	using	use	VERB
easat-5272	244	19	the	the	DET
easat-5272	244	20	cwru	cwru	NOUN
easat-5272	244	21	bearing	bear	VERB
easat-5272	244	22	fault	fault	NOUN
easat-5272	244	23	dataset	dataset	VERB
easat-5272	244	24	,	,	PUNCT
easat-5272	244	25	"	"	PUNCT
easat-5272	244	26	mechanical	mechanical	ADJ
easat-5272	244	27	systems	system	NOUN
easat-5272	244	28	and	and	CCONJ
easat-5272	244	29	signal	signal	NOUN
easat-5272	244	30	processing	processing	NOUN
easat-5272	244	31	,	,	PUNCT
easat-5272	244	32	vol	vol	NOUN
easat-5272	244	33	.	.	NOUN
easat-5272	244	34	169	169	NUM
easat-5272	244	35	,	,	PUNCT
easat-5272	244	36	p.	p.	NOUN
easat-5272	244	37	108732	108732	NUM
easat-5272	244	38	,	,	PUNCT
easat-5272	244	39	2022	2022	NUM
easat-5272	244	40	.	.	PUNCT
easat-5272	245	1	https://doi.org/10.1016/j.ymssp.2021.108732	https://doi.org/10.1016/j.ymssp.2021.108732	ADJ
easat-5272	245	2	[	[	X
easat-5272	245	3	9	9	NUM
easat-5272	245	4	]	]	X
easat-5272	245	5	m.	m.	NOUN
easat-5272	245	6	jia	jia	PROPN
easat-5272	245	7	,	,	PUNCT
easat-5272	245	8	x.	x.	PROPN
easat-5272	245	9	gao	gao	PROPN
easat-5272	245	10	,	,	PUNCT
easat-5272	245	11	h.	h.	PROPN
easat-5272	245	12	li	li	PROPN
easat-5272	245	13	,	,	PUNCT
easat-5272	245	14	and	and	CCONJ
easat-5272	245	15	h.	h.	PROPN
easat-5272	245	16	pang	pang	PROPN
easat-5272	245	17	,	,	PUNCT
easat-5272	245	18	"	"	PUNCT
easat-5272	245	19	elevator	elevator	NOUN
easat-5272	245	20	running	run	VERB
easat-5272	245	21	fault	fault	NOUN
easat-5272	245	22	monitoring	monitoring	NOUN
easat-5272	245	23	method	method	NOUN
easat-5272	245	24	based	base	VERB
easat-5272	245	25	on	on	ADP
easat-5272	245	26	vibration	vibration	NOUN
easat-5272	245	27	signal	signal	NOUN
easat-5272	245	28	,	,	PUNCT
easat-5272	245	29	"	"	PUNCT
easat-5272	245	30	shock	shock	NOUN
easat-5272	245	31	and	and	CCONJ
easat-5272	245	32	vibration	vibration	NOUN
easat-5272	245	33	,	,	PUNCT
easat-5272	245	34	vol	vol	NOUN
easat-5272	245	35	.	.	PROPN
easat-5272	245	36	2021	2021	NUM
easat-5272	245	37	,	,	PUNCT
easat-5272	245	38	no	no	INTJ
easat-5272	245	39	.	.	NOUN
easat-5272	245	40	1	1	NUM
easat-5272	245	41	,	,	PUNCT
easat-5272	245	42	p.	p.	NOUN
easat-5272	245	43	4547030	4547030	NUM
easat-5272	245	44	,	,	PUNCT
easat-5272	245	45	2021	2021	NUM
easat-5272	245	46	.	.	PUNCT
easat-5272	246	1	https://doi.org/10.1155/2021/4547030	https://doi.org/10.1155/2021/4547030	PROPN
easat-5272	247	1	[	[	X
easat-5272	247	2	10	10	NUM
easat-5272	247	3	]	]	X
easat-5272	247	4	c.	c.	PROPN
easat-5272	247	5	qiu	qiu	PROPN
easat-5272	247	6	,	,	PUNCT
easat-5272	247	7	l.	l.	PROPN
easat-5272	247	8	zhang	zhang	PROPN
easat-5272	247	9	,	,	PUNCT
easat-5272	247	10	m.	m.	PROPN
easat-5272	247	11	li	li	PROPN
easat-5272	247	12	,	,	PUNCT
easat-5272	247	13	p.	p.	PROPN
easat-5272	247	14	zhang	zhang	PROPN
easat-5272	247	15	,	,	PUNCT
easat-5272	247	16	and	and	CCONJ
easat-5272	247	17	x.	x.	NOUN
easat-5272	247	18	zheng	zheng	PROPN
easat-5272	247	19	,	,	PUNCT
easat-5272	247	20	"	"	PUNCT
easat-5272	247	21	elevator	elevator	NOUN
easat-5272	247	22	fault	fault	NOUN
easat-5272	247	23	diagnosis	diagnosis	NOUN
easat-5272	247	24	method	method	NOUN
easat-5272	247	25	based	base	VERB
easat-5272	247	26	on	on	ADP
easat-5272	247	27	iao	iao	PROPN
easat-5272	247	28	-	-	PUNCT
easat-5272	247	29	xgboost	xgboost	NOUN
easat-5272	247	30	under	under	ADP
easat-5272	247	31	unbalanced	unbalanced	ADJ
easat-5272	247	32	samples	sample	NOUN
easat-5272	247	33	,	,	PUNCT
easat-5272	247	34	"	"	PUNCT
easat-5272	247	35	applied	apply	VERB
easat-5272	247	36	sciences	science	NOUN
easat-5272	247	37	,	,	PUNCT
easat-5272	247	38	vol	vol	NOUN
easat-5272	247	39	.	.	PROPN
easat-5272	247	40	13	13	NUM
easat-5272	247	41	,	,	PUNCT
easat-5272	247	42	no	no	INTJ
easat-5272	247	43	.	.	NOUN
easat-5272	247	44	19	19	NUM
easat-5272	247	45	,	,	PUNCT
easat-5272	247	46	p.	p.	NOUN
easat-5272	247	47	10968	10968	NUM
easat-5272	247	48	,	,	PUNCT
easat-5272	247	49	2023	2023	NUM
easat-5272	247	50	.	.	PUNCT
easat-5272	248	1	https://doi.org/10.3390/app131910968	https://doi.org/10.3390/app131910968	NOUN
easat-5272	249	1	[	[	X
easat-5272	249	2	11	11	NUM
easat-5272	249	3	]	]	PUNCT
easat-5272	249	4	h.	h.	PROPN
easat-5272	249	5	liu	liu	PROPN
easat-5272	249	6	,	,	PUNCT
easat-5272	249	7	l.	l.	PROPN
easat-5272	249	8	yang	yang	PROPN
easat-5272	249	9	,	,	PUNCT
easat-5272	249	10	and	and	CCONJ
easat-5272	249	11	y.	y.	PROPN
easat-5272	249	12	wei	wei	PROPN
easat-5272	249	13	,	,	PUNCT
easat-5272	249	14	"	"	PUNCT
easat-5272	249	15	elevator	elevator	NOUN
easat-5272	249	16	traction	traction	NOUN
easat-5272	249	17	machine	machine	NOUN
easat-5272	249	18	fault	fault	NOUN
easat-5272	249	19	diagnosis	diagnosis	NOUN
easat-5272	249	20	based	base	VERB
easat-5272	249	21	on	on	ADP
easat-5272	249	22	improved	improved	ADJ
easat-5272	249	23	ceemd	ceemd	NOUN
easat-5272	249	24	and	and	CCONJ
easat-5272	249	25	svm	svm	ADJ
easat-5272	249	26	algorithm	algorithm	NOUN
easat-5272	249	27	,	,	PUNCT
easat-5272	249	28	"	"	PUNCT
easat-5272	249	29	presented	present	VERB
easat-5272	249	30	at	at	ADP
easat-5272	249	31	the	the	DET
easat-5272	249	32	2022	2022	NUM
easat-5272	249	33	global	global	ADJ
easat-5272	249	34	reliability	reliability	NOUN
easat-5272	249	35	and	and	CCONJ
easat-5272	249	36	prognostics	prognostic	NOUN
easat-5272	249	37	and	and	CCONJ
easat-5272	249	38	health	health	NOUN
easat-5272	249	39	management	management	NOUN
easat-5272	249	40	(	(	PUNCT
easat-5272	249	41	phm	phm	PROPN
easat-5272	249	42	-	-	PUNCT
easat-5272	249	43	yantai	yantai	PROPN
easat-5272	249	44	)	)	PUNCT
easat-5272	249	45	,	,	PUNCT
easat-5272	249	46	2022	2022	NUM
easat-5272	249	47	:	:	PUNCT
easat-5272	249	48	ieee	ieee	NOUN
easat-5272	249	49	,	,	PUNCT
easat-5272	249	50	1	1	NUM
easat-5272	249	51	-	-	SYM
easat-5272	249	52	6	6	NUM
easat-5272	249	53	.	.	PUNCT
easat-5272	250	1	[	[	X
easat-5272	250	2	12	12	NUM
easat-5272	250	3	]	]	PUNCT
easat-5272	250	4	q.	q.	NOUN
easat-5272	250	5	song	song	PROPN
easat-5272	250	6	,	,	PUNCT
easat-5272	250	7	q.	q.	NOUN
easat-5272	250	8	song	song	PROPN
easat-5272	250	9	,	,	PUNCT
easat-5272	250	10	l.	l.	PROPN
easat-5272	250	11	xiao	xiao	PROPN
easat-5272	250	12	,	,	PUNCT
easat-5272	250	13	h.	h.	PROPN
easat-5272	250	14	jiang	jiang	PROPN
easat-5272	250	15	,	,	PUNCT
easat-5272	250	16	and	and	CCONJ
easat-5272	250	17	l.	l.	PROPN
easat-5272	250	18	li	li	PROPN
easat-5272	250	19	,	,	PUNCT
easat-5272	250	20	"	"	PUNCT
easat-5272	250	21	state	state	NOUN
easat-5272	250	22	diagnosis	diagnosis	NOUN
easat-5272	250	23	of	of	ADP
easat-5272	250	24	elevator	elevator	NOUN
easat-5272	250	25	control	control	NOUN
easat-5272	250	26	transformer	transformer	NOUN
easat-5272	250	27	over	over	ADP
easat-5272	250	28	vibration	vibration	NOUN
easat-5272	250	29	signal	signal	NOUN
easat-5272	250	30	based	base	VERB
easat-5272	250	31	on	on	ADP
easat-5272	250	32	mea‐bp	mea‐bp	ADJ
easat-5272	250	33	neural	neural	ADJ
easat-5272	250	34	network	network	NOUN
easat-5272	250	35	,	,	PUNCT
easat-5272	250	36	"	"	PUNCT
easat-5272	250	37	shock	shock	NOUN
easat-5272	250	38	and	and	CCONJ
easat-5272	250	39	vibration	vibration	NOUN
easat-5272	250	40	,	,	PUNCT
easat-5272	250	41	vol	vol	NOUN
easat-5272	250	42	.	.	PROPN
easat-5272	250	43	2021	2021	NUM
easat-5272	250	44	,	,	PUNCT
easat-5272	250	45	no	no	INTJ
easat-5272	250	46	.	.	NOUN
easat-5272	250	47	1	1	NUM
easat-5272	250	48	,	,	PUNCT
easat-5272	250	49	p.	p.	NOUN
easat-5272	250	50	9755094	9755094	NUM
easat-5272	250	51	,	,	PUNCT
easat-5272	250	52	2021	2021	NUM
easat-5272	250	53	.	.	PUNCT
easat-5272	251	1	https://doi.org/10.1155/2021/9755094	https://doi.org/10.1155/2021/9755094	X
easat-5272	252	1	[	[	X
easat-5272	252	2	13	13	NUM
easat-5272	252	3	]	]	PUNCT
easat-5272	252	4	z.	z.	PROPN
easat-5272	252	5	zhu	zhu	PROPN
easat-5272	252	6	et	et	PROPN
easat-5272	252	7	al	al	PROPN
easat-5272	252	8	.	.	PROPN
easat-5272	252	9	,	,	PUNCT
easat-5272	252	10	"	"	PUNCT
easat-5272	252	11	a	a	DET
easat-5272	252	12	review	review	NOUN
easat-5272	252	13	of	of	ADP
easat-5272	252	14	the	the	DET
easat-5272	252	15	application	application	NOUN
easat-5272	252	16	of	of	ADP
easat-5272	252	17	deep	deep	ADJ
easat-5272	252	18	learning	learning	NOUN
easat-5272	252	19	in	in	ADP
easat-5272	252	20	intelligent	intelligent	ADJ
easat-5272	252	21	fault	fault	NOUN
easat-5272	252	22	diagnosis	diagnosis	NOUN
easat-5272	252	23	of	of	ADP
easat-5272	252	24	rotating	rotate	VERB
easat-5272	252	25	machinery	machinery	NOUN
easat-5272	252	26	,	,	PUNCT
easat-5272	252	27	"	"	PUNCT
easat-5272	252	28	measurement	measurement	NOUN
easat-5272	252	29	,	,	PUNCT
easat-5272	252	30	vol	vol	NOUN
easat-5272	252	31	.	.	PROPN
easat-5272	252	32	206	206	NUM
easat-5272	252	33	,	,	PUNCT
easat-5272	252	34	p.	p.	NOUN
easat-5272	252	35	112346	112346	NUM
easat-5272	252	36	,	,	PUNCT
easat-5272	252	37	2023	2023	NUM
easat-5272	252	38	.	.	PUNCT
easat-5272	253	1	https://doi.org/10.1016/j.measurement.2022.112346	https://doi.org/10.1016/j.measurement.2022.112346	VERB
easat-5272	253	2	[	[	X
easat-5272	253	3	14	14	NUM
easat-5272	253	4	]	]	PUNCT
easat-5272	253	5	r.	r.	PROPN
easat-5272	253	6	surendran	surendran	PROPN
easat-5272	253	7	,	,	PUNCT
easat-5272	253	8	o.	o.	PROPN
easat-5272	253	9	i.	i.	PROPN
easat-5272	253	10	khalaf	khalaf	PROPN
easat-5272	253	11	,	,	PUNCT
easat-5272	253	12	and	and	CCONJ
easat-5272	253	13	c.	c.	PROPN
easat-5272	253	14	a.	a.	PROPN
easat-5272	253	15	tavera	tavera	PROPN
easat-5272	253	16	romero	romero	PROPN
easat-5272	253	17	,	,	PUNCT
easat-5272	253	18	"	"	PUNCT
easat-5272	253	19	deep	deep	ADJ
easat-5272	253	20	learning	learning	NOUN
easat-5272	253	21	based	base	VERB
easat-5272	253	22	intelligent	intelligent	ADJ
easat-5272	253	23	industrial	industrial	ADJ
easat-5272	253	24	fault	fault	NOUN
easat-5272	253	25	diagnosis	diagnosis	NOUN
easat-5272	253	26	model	model	NOUN
easat-5272	253	27	,	,	PUNCT
easat-5272	253	28	"	"	PUNCT
easat-5272	253	29	computers	computer	NOUN
easat-5272	253	30	,	,	PUNCT
easat-5272	253	31	materials	material	NOUN
easat-5272	253	32	&	&	CCONJ
easat-5272	253	33	continua	continua	PROPN
easat-5272	253	34	,	,	PUNCT
easat-5272	253	35	vol	vol	NOUN
easat-5272	253	36	.	.	PROPN
easat-5272	253	37	70	70	NUM
easat-5272	253	38	,	,	PUNCT
easat-5272	253	39	no	no	INTJ
easat-5272	253	40	.	.	NOUN
easat-5272	253	41	3	3	NUM
easat-5272	253	42	,	,	PUNCT
easat-5272	253	43	pp	pp	ADJ
easat-5272	253	44	.	.	PUNCT
easat-5272	254	1	1	1	NUM
easat-5272	254	2	-	-	SYM
easat-5272	254	3	16	16	NUM
easat-5272	254	4	,	,	PUNCT
easat-5272	254	5	2022	2022	NUM
easat-5272	254	6	.	.	PUNCT
easat-5272	255	1	https://doi.org/10.32604/cmc.2022.021716	https://doi.org/10.32604/cmc.2022.021716	NOUN
easat-5272	256	1	[	[	X
easat-5272	256	2	15	15	NUM
easat-5272	256	3	]	]	X
easat-5272	256	4	f.	f.	PROPN
easat-5272	256	5	zhou	zhou	PROPN
easat-5272	256	6	,	,	PUNCT
easat-5272	256	7	s.	s.	PROPN
easat-5272	256	8	yang	yang	PROPN
easat-5272	256	9	,	,	PUNCT
easat-5272	256	10	h.	h.	PROPN
easat-5272	256	11	fujita	fujita	PROPN
easat-5272	256	12	,	,	PUNCT
easat-5272	256	13	d.	d.	PROPN
easat-5272	256	14	chen	chen	PROPN
easat-5272	256	15	,	,	PUNCT
easat-5272	256	16	and	and	CCONJ
easat-5272	256	17	c.	c.	PROPN
easat-5272	256	18	wen	wen	PROPN
easat-5272	256	19	,	,	PUNCT
easat-5272	256	20	"	"	PUNCT
easat-5272	256	21	deep	deep	ADJ
easat-5272	256	22	learning	learn	VERB
easat-5272	256	23	fault	fault	VERB
easat-5272	256	24	diagnosis	diagnosis	NOUN
easat-5272	256	25	method	method	NOUN
easat-5272	256	26	based	base	VERB
easat-5272	256	27	on	on	ADP
easat-5272	256	28	global	global	ADJ
easat-5272	256	29	optimization	optimization	NOUN
easat-5272	256	30	gan	gan	NOUN
easat-5272	256	31	for	for	ADP
easat-5272	256	32	unbalanced	unbalanced	ADJ
easat-5272	256	33	data	datum	NOUN
easat-5272	256	34	,	,	PUNCT
easat-5272	256	35	"	"	PUNCT
easat-5272	256	36	knowledge	knowledge	NOUN
easat-5272	256	37	-	-	PUNCT
easat-5272	256	38	based	base	VERB
easat-5272	256	39	systems	system	NOUN
easat-5272	256	40	,	,	PUNCT
easat-5272	256	41	vol	vol	NOUN
easat-5272	256	42	.	.	PROPN
easat-5272	256	43	187	187	NUM
easat-5272	256	44	,	,	PUNCT
easat-5272	256	45	p.	p.	NOUN
easat-5272	256	46	104837	104837	NUM
easat-5272	256	47	,	,	PUNCT
easat-5272	256	48	2020	2020	NUM
easat-5272	256	49	.	.	PUNCT
easat-5272	257	1	https://doi.org/10.1016/j.knosys.2019.07.008	https://doi.org/10.1016/j.knosys.2019.07.008	NOUN
easat-5272	257	2	[	[	X
easat-5272	257	3	16	16	NUM
easat-5272	257	4	]	]	PUNCT
easat-5272	257	5	s.	s.	PROPN
easat-5272	257	6	chai	chai	PROPN
easat-5272	257	7	et	et	PROPN
easat-5272	257	8	al	al	PROPN
easat-5272	257	9	.	.	PROPN
easat-5272	257	10	,	,	PUNCT
easat-5272	257	11	"	"	PUNCT
easat-5272	257	12	a	a	DET
easat-5272	257	13	non	non	ADJ
easat-5272	257	14	-	-	ADJ
easat-5272	257	15	intrusive	intrusive	ADJ
easat-5272	257	16	deep	deep	ADJ
easat-5272	257	17	learning	learning	NOUN
easat-5272	257	18	based	base	VERB
easat-5272	257	19	diagnosis	diagnosis	NOUN
easat-5272	257	20	system	system	NOUN
easat-5272	257	21	for	for	ADP
easat-5272	257	22	elevators	elevator	NOUN
easat-5272	257	23	,	,	PUNCT
easat-5272	257	24	"	"	PUNCT
easat-5272	257	25	ieee	ieee	NOUN
easat-5272	257	26	access	access	NOUN
easat-5272	257	27	,	,	PUNCT
easat-5272	257	28	vol	vol	NOUN
easat-5272	257	29	.	.	NOUN
easat-5272	257	30	9	9	NUM
easat-5272	257	31	,	,	PUNCT
easat-5272	257	32	pp	pp	ADJ
easat-5272	257	33	.	.	PUNCT
easat-5272	257	34	2099321003	2099321003	NUM
easat-5272	257	35	,	,	PUNCT
easat-5272	257	36	2021	2021	NUM
easat-5272	257	37	.	.	PUNCT
easat-5272	258	1	https://doi.org/10.1109/access.2021.3053858	https://doi.org/10.1109/access.2021.3053858	NOUN
easat-5272	258	2	[	[	X
easat-5272	258	3	17	17	NUM
easat-5272	258	4	]	]	X
easat-5272	258	5	h.	h.	PROPN
easat-5272	258	6	chae	chae	PROPN
easat-5272	258	7	,	,	PUNCT
easat-5272	258	8	j.	j.	PROPN
easat-5272	258	9	e.	e.	PROPN
easat-5272	258	10	lee	lee	PROPN
easat-5272	258	11	,	,	PUNCT
easat-5272	258	12	and	and	CCONJ
easat-5272	258	13	k.-y	k.-y	NOUN
easat-5272	258	14	.	.	PUNCT
easat-5272	259	1	oh	oh	INTJ
easat-5272	259	2	,	,	PUNCT
easat-5272	259	3	"	"	PUNCT
easat-5272	259	4	fault	fault	VERB
easat-5272	259	5	diagnosis	diagnosis	NOUN
easat-5272	259	6	of	of	ADP
easat-5272	259	7	elevator	elevator	NOUN
easat-5272	259	8	doors	door	NOUN
easat-5272	259	9	using	use	VERB
easat-5272	259	10	control	control	NOUN
easat-5272	259	11	state	state	NOUN
easat-5272	259	12	information	information	NOUN
easat-5272	259	13	,	,	PUNCT
easat-5272	259	14	"	"	PUNCT
easat-5272	259	15	ieee	ieee	NOUN
easat-5272	259	16	access	access	NOUN
easat-5272	259	17	,	,	PUNCT
easat-5272	259	18	vol	vol	NOUN
easat-5272	259	19	.	.	PROPN
easat-5272	259	20	10	10	NUM
easat-5272	259	21	,	,	PUNCT
easat-5272	259	22	pp	pp	ADJ
easat-5272	259	23	.	.	PUNCT
easat-5272	260	1	7207	7207	NUM
easat-5272	260	2	-	-	SYM
easat-5272	260	3	7222	7222	NUM
easat-5272	260	4	,	,	PUNCT
easat-5272	260	5	2022	2022	NUM
easat-5272	260	6	.	.	PUNCT
easat-5272	261	1	https://doi.org/10.1109/access.2022.3141074	https://doi.org/10.1109/access.2022.3141074	PROPN
easat-5272	262	1	[	[	X
easat-5272	262	2	18	18	NUM
easat-5272	262	3	]	]	PUNCT
easat-5272	262	4	z.	z.	PROPN
easat-5272	262	5	wang	wang	PROPN
easat-5272	262	6	,	,	PUNCT
easat-5272	262	7	j.	j.	PROPN
easat-5272	262	8	yang	yang	PROPN
easat-5272	262	9	,	,	PUNCT
easat-5272	262	10	and	and	CCONJ
easat-5272	262	11	y.	y.	PROPN
easat-5272	262	12	guo	guo	PROPN
easat-5272	262	13	,	,	PUNCT
easat-5272	262	14	"	"	PUNCT
easat-5272	262	15	unknown	unknown	ADJ
easat-5272	262	16	fault	fault	NOUN
easat-5272	262	17	feature	feature	NOUN
easat-5272	262	18	extraction	extraction	NOUN
easat-5272	262	19	of	of	ADP
easat-5272	262	20	rolling	rolling	ADJ
easat-5272	262	21	bearings	bearing	NOUN
easat-5272	262	22	under	under	ADP
easat-5272	262	23	variable	variable	ADJ
easat-5272	262	24	speed	speed	NOUN
easat-5272	262	25	conditions	condition	NOUN
easat-5272	262	26	based	base	VERB
easat-5272	262	27	on	on	ADP
easat-5272	262	28	statistical	statistical	ADJ
easat-5272	262	29	complexity	complexity	NOUN
easat-5272	262	30	measures	measure	NOUN
easat-5272	262	31	,	,	PUNCT
easat-5272	262	32	"	"	PUNCT
easat-5272	262	33	mechanical	mechanical	ADJ
easat-5272	262	34	systems	system	NOUN
easat-5272	262	35	and	and	CCONJ
easat-5272	262	36	signal	signal	NOUN
easat-5272	262	37	processing	processing	NOUN
easat-5272	262	38	,	,	PUNCT
easat-5272	262	39	vol	vol	NOUN
easat-5272	262	40	.	.	PUNCT
easat-5272	262	41	172	172	NUM
easat-5272	262	42	,	,	PUNCT
easat-5272	262	43	p.	p.	NOUN
easat-5272	262	44	108964	108964	NUM
easat-5272	262	45	,	,	PUNCT
easat-5272	262	46	2022	2022	NUM
easat-5272	262	47	.	.	PUNCT
easat-5272	263	1	https://doi.org/10.1016/j.ymssp.2022.108964	https://doi.org/10.1016/j.ymssp.2022.108964	PROPN
easat-5272	263	2	[	[	X
easat-5272	263	3	19	19	NUM
easat-5272	263	4	]	]	X
easat-5272	263	5	j.	j.	PROPN
easat-5272	263	6	wu	wu	PROPN
easat-5272	263	7	,	,	PUNCT
easat-5272	263	8	z.	z.	PROPN
easat-5272	263	9	zhao	zhao	PROPN
easat-5272	263	10	,	,	PUNCT
easat-5272	263	11	c.	c.	PROPN
easat-5272	263	12	sun	sun	PROPN
easat-5272	263	13	,	,	PUNCT
easat-5272	263	14	r.	r.	PROPN
easat-5272	263	15	yan	yan	PROPN
easat-5272	263	16	,	,	PUNCT
easat-5272	263	17	and	and	CCONJ
easat-5272	263	18	x.	x.	PROPN
easat-5272	263	19	chen	chen	PROPN
easat-5272	263	20	,	,	PUNCT
easat-5272	263	21	"	"	PUNCT
easat-5272	263	22	few	few	ADJ
easat-5272	263	23	-	-	PUNCT
easat-5272	263	24	shot	shot	NOUN
easat-5272	263	25	transfer	transfer	NOUN
easat-5272	263	26	learning	learning	NOUN
easat-5272	263	27	for	for	ADP
easat-5272	263	28	intelligent	intelligent	ADJ
easat-5272	263	29	fault	fault	NOUN
easat-5272	263	30	diagnosis	diagnosis	NOUN
easat-5272	263	31	of	of	ADP
easat-5272	263	32	machine	machine	NOUN
easat-5272	263	33	,	,	PUNCT
easat-5272	263	34	"	"	PUNCT
easat-5272	263	35	measurement	measurement	NOUN
easat-5272	263	36	,	,	PUNCT
easat-5272	263	37	vol	vol	NOUN
easat-5272	263	38	.	.	PROPN
easat-5272	263	39	166	166	NUM
easat-5272	263	40	,	,	PUNCT
easat-5272	263	41	p.	p.	NOUN
easat-5272	263	42	108202	108202	NUM
easat-5272	263	43	,	,	PUNCT
easat-5272	263	44	2020	2020	NUM
easat-5272	263	45	.	.	PUNCT
easat-5272	264	1	https://doi.org/10.1016/j.measurement.2020.108202	https://doi.org/10.1016/j.measurement.2020.108202	NOUN
easat-5272	264	2	[	[	X
easat-5272	264	3	20	20	NUM
easat-5272	264	4	]	]	X
easat-5272	264	5	y.	y.	PROPN
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easat-5272	264	7	,	,	PUNCT
easat-5272	264	8	y.	y.	PROPN
easat-5272	264	9	li	li	PROPN
easat-5272	264	10	,	,	PUNCT
easat-5272	264	11	h.	h.	PROPN
easat-5272	264	12	zheng	zheng	PROPN
easat-5272	264	13	,	,	PUNCT
easat-5272	264	14	r.	r.	PROPN
easat-5272	264	15	wang	wang	PROPN
easat-5272	264	16	,	,	PUNCT
easat-5272	264	17	and	and	CCONJ
easat-5272	264	18	m.	m.	PROPN
easat-5272	264	19	xu	xu	PROPN
easat-5272	264	20	,	,	PUNCT
easat-5272	264	21	"	"	PUNCT
easat-5272	264	22	a	a	DET
easat-5272	264	23	new	new	ADJ
easat-5272	264	24	dynamic	dynamic	ADJ
easat-5272	264	25	model	model	NOUN
easat-5272	264	26	and	and	CCONJ
easat-5272	264	27	transfer	transfer	NOUN
easat-5272	264	28	learning	learning	NOUN
easat-5272	264	29	based	base	VERB
easat-5272	264	30	intelligent	intelligent	ADJ
easat-5272	264	31	fault	fault	NOUN
easat-5272	264	32	diagnosis	diagnosis	NOUN
easat-5272	264	33	framework	framework	NOUN
easat-5272	264	34	for	for	ADP
easat-5272	264	35	rolling	rolling	ADJ
easat-5272	264	36	element	element	NOUN
easat-5272	264	37	bearings	bearing	NOUN
easat-5272	264	38	race	race	NOUN
easat-5272	264	39	faults	fault	NOUN
easat-5272	264	40	:	:	PUNCT
easat-5272	264	41	solving	solve	VERB
easat-5272	264	42	the	the	DET
easat-5272	264	43	small	small	ADJ
easat-5272	264	44	sample	sample	NOUN
easat-5272	264	45	problem	problem	NOUN
easat-5272	264	46	,	,	PUNCT
easat-5272	264	47	"	"	PUNCT
easat-5272	264	48	isa	isa	NOUN
easat-5272	264	49	transactions	transaction	NOUN
easat-5272	264	50	,	,	PUNCT
easat-5272	264	51	vol	vol	NOUN
easat-5272	264	52	.	.	PROPN
easat-5272	264	53	121	121	NUM
easat-5272	264	54	,	,	PUNCT
easat-5272	264	55	pp	pp	ADJ
easat-5272	264	56	.	.	PUNCT
easat-5272	265	1	327	327	NUM
easat-5272	265	2	-	-	SYM
easat-5272	265	3	348	348	NUM
easat-5272	265	4	,	,	PUNCT
easat-5272	265	5	2022	2022	NUM
easat-5272	265	6	.	.	PUNCT
easat-5272	266	1	https://doi.org/10.1016/j.isatra.2021.03.042	https://doi.org/10.1016/j.isatra.2021.03.042	NOUN
easat-5272	266	2	[	[	X
easat-5272	266	3	21	21	NUM
easat-5272	266	4	]	]	X
easat-5272	266	5	y.	y.	PROPN
easat-5272	266	6	li	li	PROPN
easat-5272	266	7	,	,	PUNCT
easat-5272	266	8	w.	w.	PROPN
easat-5272	266	9	jiang	jiang	PROPN
easat-5272	266	10	,	,	PUNCT
easat-5272	266	11	g.	g.	PROPN
easat-5272	266	12	zhang	zhang	PROPN
easat-5272	266	13	,	,	PUNCT
easat-5272	266	14	and	and	CCONJ
easat-5272	266	15	l.	l.	PROPN
easat-5272	266	16	shu	shu	PROPN
easat-5272	266	17	,	,	PUNCT
easat-5272	266	18	"	"	PUNCT
easat-5272	266	19	wind	wind	NOUN
easat-5272	266	20	turbine	turbine	NOUN
easat-5272	266	21	fault	fault	NOUN
easat-5272	266	22	diagnosis	diagnosis	NOUN
easat-5272	266	23	based	base	VERB
easat-5272	266	24	on	on	ADP
easat-5272	266	25	transfer	transfer	NOUN
easat-5272	266	26	learning	learning	NOUN
easat-5272	266	27	and	and	CCONJ
easat-5272	266	28	convolutional	convolutional	ADJ
easat-5272	266	29	autoencoder	autoencoder	NOUN
easat-5272	266	30	with	with	ADP
easat-5272	266	31	small	small	ADJ
easat-5272	266	32	-	-	PUNCT
easat-5272	266	33	scale	scale	NOUN
easat-5272	266	34	data	datum	NOUN
easat-5272	266	35	,	,	PUNCT
easat-5272	266	36	"	"	PUNCT
easat-5272	266	37	renewable	renewable	ADJ
easat-5272	266	38	energy	energy	NOUN
easat-5272	266	39	,	,	PUNCT
easat-5272	266	40	vol	vol	NOUN
easat-5272	266	41	.	.	PROPN
easat-5272	266	42	171	171	NUM
easat-5272	266	43	,	,	PUNCT
easat-5272	266	44	pp	pp	ADJ
easat-5272	266	45	.	.	PUNCT
easat-5272	267	1	103	103	NUM
easat-5272	267	2	-	-	SYM
easat-5272	267	3	115	115	NUM
easat-5272	267	4	,	,	PUNCT
easat-5272	267	5	2021	2021	NUM
easat-5272	267	6	.	.	PUNCT
easat-5272	268	1	https://doi.org/10.1016/j.renene.2021.01.143	https://doi.org/10.1016/j.renene.2021.01.143	VERB
easat-5272	269	1	[	[	X
easat-5272	269	2	22	22	NUM
easat-5272	269	3	]	]	X
easat-5272	269	4	d.	d.	PROPN
easat-5272	269	5	niu	niu	PROPN
easat-5272	269	6	and	and	CCONJ
easat-5272	269	7	j.	j.	PROPN
easat-5272	269	8	wang	wang	PROPN
easat-5272	269	9	,	,	PUNCT
easat-5272	269	10	"	"	PUNCT
easat-5272	269	11	elevator	elevator	NOUN
easat-5272	269	12	car	car	NOUN
easat-5272	269	13	vibration	vibration	NOUN
easat-5272	269	14	signal	signal	NOUN
easat-5272	269	15	denoising	denoising	NOUN
easat-5272	269	16	method	method	NOUN
easat-5272	269	17	based	base	VERB
easat-5272	269	18	on	on	ADP
easat-5272	269	19	ceemd	ceemd	NOUN
easat-5272	269	20	and	and	CCONJ
easat-5272	269	21	bilateral	bilateral	ADJ
easat-5272	269	22	filtering	filtering	NOUN
easat-5272	269	23	,	,	PUNCT
easat-5272	269	24	"	"	PUNCT
easat-5272	269	25	sensors	sensor	NOUN
easat-5272	269	26	,	,	PUNCT
easat-5272	269	27	vol	vol	NOUN
easat-5272	269	28	.	.	PROPN
easat-5272	269	29	22	22	NUM
easat-5272	269	30	,	,	PUNCT
easat-5272	269	31	no	no	INTJ
easat-5272	269	32	.	.	NOUN
easat-5272	269	33	17	17	NUM
easat-5272	269	34	,	,	PUNCT
easat-5272	269	35	p.	p.	NOUN
easat-5272	269	36	6602	6602	NUM
easat-5272	269	37	,	,	PUNCT
easat-5272	269	38	2022	2022	NUM
easat-5272	269	39	.	.	PUNCT
easat-5272	270	1	https://doi.org/10.3390/s22176602	https://doi.org/10.3390/s22176602	NUM
easat-5272	271	1	[	[	X
easat-5272	271	2	23	23	NUM
easat-5272	271	3	]	]	PUNCT
easat-5272	271	4	x.	x.	PROPN
easat-5272	271	5	liu	liu	PROPN
easat-5272	271	6	,	,	PUNCT
easat-5272	271	7	g.	g.	PROPN
easat-5272	271	8	shi	shi	PROPN
easat-5272	271	9	,	,	PUNCT
easat-5272	271	10	and	and	CCONJ
easat-5272	271	11	w.	w.	PROPN
easat-5272	271	12	liu	liu	PROPN
easat-5272	271	13	,	,	PUNCT
easat-5272	271	14	"	"	PUNCT
easat-5272	271	15	an	an	DET
easat-5272	271	16	improved	improve	VERB
easat-5272	271	17	empirical	empirical	ADJ
easat-5272	271	18	mode	mode	NOUN
easat-5272	271	19	decomposition	decomposition	NOUN
easat-5272	271	20	method	method	NOUN
easat-5272	271	21	for	for	ADP
easat-5272	271	22	vibration	vibration	NOUN
easat-5272	271	23	signal	signal	NOUN
easat-5272	271	24	,	,	PUNCT
easat-5272	271	25	"	"	PUNCT
easat-5272	271	26	wireless	wireless	ADJ
easat-5272	271	27	communications	communication	NOUN
easat-5272	271	28	and	and	CCONJ
easat-5272	271	29	mobile	mobile	NOUN
easat-5272	271	30	computing	computing	NOUN
easat-5272	271	31	,	,	PUNCT
easat-5272	271	32	vol	vol	NOUN
easat-5272	271	33	.	.	PROPN
easat-5272	271	34	2021	2021	NUM
easat-5272	271	35	,	,	PUNCT
easat-5272	271	36	no	no	INTJ
easat-5272	271	37	.	.	NOUN
easat-5272	271	38	1	1	NUM
easat-5272	271	39	,	,	PUNCT
easat-5272	271	40	p.	p.	NOUN
easat-5272	271	41	5525270	5525270	NUM
easat-5272	271	42	,	,	PUNCT
easat-5272	271	43	2021	2021	NUM
easat-5272	271	44	.	.	PUNCT
easat-5272	272	1	https://doi.org/10.1155/2021/5525270	https://doi.org/10.1155/2021/5525270	PROPN
easat-5272	272	2	[	[	X
easat-5272	272	3	24	24	NUM
easat-5272	272	4	]	]	X
easat-5272	272	5	y.	y.	PROPN
easat-5272	272	6	long	long	PROPN
easat-5272	272	7	,	,	PUNCT
easat-5272	272	8	w.	w.	PROPN
easat-5272	272	9	zhou	zhou	PROPN
easat-5272	272	10	,	,	PUNCT
easat-5272	272	11	and	and	CCONJ
easat-5272	272	12	y.	y.	PROPN
easat-5272	272	13	luo	luo	PROPN
easat-5272	272	14	,	,	PUNCT
easat-5272	272	15	"	"	PUNCT
easat-5272	272	16	a	a	DET
easat-5272	272	17	fault	fault	NOUN
easat-5272	272	18	diagnosis	diagnosis	NOUN
easat-5272	272	19	method	method	NOUN
easat-5272	272	20	based	base	VERB
easat-5272	272	21	on	on	ADP
easat-5272	272	22	one	one	NUM
easat-5272	272	23	-	-	PUNCT
easat-5272	272	24	dimensional	dimensional	ADJ
easat-5272	272	25	data	datum	NOUN
easat-5272	272	26	enhancement	enhancement	NOUN
easat-5272	272	27	and	and	CCONJ
easat-5272	272	28	convolutional	convolutional	ADJ
easat-5272	272	29	neural	neural	ADJ
easat-5272	272	30	network	network	NOUN
easat-5272	272	31	,	,	PUNCT
easat-5272	272	32	"	"	PUNCT
easat-5272	272	33	measurement	measurement	NOUN
easat-5272	272	34	,	,	PUNCT
easat-5272	272	35	vol	vol	NOUN
easat-5272	272	36	.	.	PROPN
easat-5272	272	37	180	180	NUM
easat-5272	272	38	,	,	PUNCT
easat-5272	272	39	p.	p.	NOUN
easat-5272	272	40	109532	109532	NUM
easat-5272	272	41	,	,	PUNCT
easat-5272	272	42	2021	2021	NUM
easat-5272	272	43	.	.	PUNCT
easat-5272	273	1	https://doi.org/10.1016/j.measurement.2021.109532	https://doi.org/10.1016/j.measurement.2021.109532	NOUN
easat-5272	273	2	[	[	X
easat-5272	273	3	25	25	NUM
easat-5272	273	4	]	]	PUNCT
easat-5272	273	5	c.	c.	PROPN
easat-5272	273	6	du	du	PROPN
easat-5272	273	7	et	et	PROPN
easat-5272	273	8	al	al	PROPN
easat-5272	273	9	.	.	PROPN
easat-5272	273	10	,	,	PUNCT
easat-5272	273	11	"	"	PUNCT
easat-5272	273	12	unmanned	unmanned	ADJ
easat-5272	273	13	aerial	aerial	ADJ
easat-5272	273	14	vehicle	vehicle	NOUN
easat-5272	273	15	rotor	rotor	NOUN
easat-5272	273	16	fault	fault	NOUN
easat-5272	273	17	diagnosis	diagnosis	NOUN
easat-5272	273	18	based	base	VERB
easat-5272	273	19	on	on	ADP
easat-5272	273	20	interval	interval	NOUN
easat-5272	273	21	sampling	sample	VERB
easat-5272	273	22	reconstruction	reconstruction	NOUN
easat-5272	273	23	of	of	ADP
easat-5272	273	24	vibration	vibration	NOUN
easat-5272	273	25	signals	signal	NOUN
easat-5272	273	26	and	and	CCONJ
easat-5272	273	27	a	a	DET
easat-5272	273	28	one	one	NUM
easat-5272	273	29	-	-	PUNCT
easat-5272	273	30	dimensional	dimensional	ADJ
easat-5272	273	31	convolutional	convolutional	ADJ
easat-5272	273	32	neural	neural	ADJ
easat-5272	273	33	network	network	NOUN
easat-5272	273	34	deep	deep	ADJ
easat-5272	273	35	learning	learning	NOUN
easat-5272	273	36	method	method	NOUN
easat-5272	273	37	,	,	PUNCT
easat-5272	273	38	"	"	PUNCT
easat-5272	273	39	measurement	measurement	NOUN
easat-5272	273	40	science	science	NOUN
easat-5272	273	41	and	and	CCONJ
easat-5272	273	42	technology	technology	NOUN
easat-5272	273	43	,	,	PUNCT
easat-5272	273	44	vol	vol	NOUN
easat-5272	273	45	.	.	PROPN
easat-5272	274	1	33	33	NUM
easat-5272	274	2	,	,	PUNCT
easat-5272	274	3	no	no	INTJ
easat-5272	274	4	.	.	NOUN
easat-5272	274	5	6	6	NUM
easat-5272	274	6	,	,	PUNCT
easat-5272	274	7	p.	p.	NOUN
easat-5272	274	8	065003	065003	NUM
easat-5272	274	9	,	,	PUNCT
easat-5272	274	10	2022	2022	NUM
easat-5272	274	11	.	.	PUNCT
easat-5272	275	1	https://doi.org/10.1088/1361-6501/ac491e	https://doi.org/10.1088/1361-6501/ac491e	NOUN
easat-5272	276	1	[	[	X
easat-5272	276	2	26	26	NUM
easat-5272	276	3	]	]	PUNCT
easat-5272	276	4	s.	s.	PROPN
easat-5272	276	5	kiranyaz	kiranyaz	PROPN
easat-5272	276	6	,	,	PUNCT
easat-5272	276	7	o.	o.	PROPN
easat-5272	276	8	avci	avci	PROPN
easat-5272	276	9	,	,	PUNCT
easat-5272	276	10	o.	o.	PROPN
easat-5272	276	11	abdeljaber	abdeljaber	PROPN
easat-5272	276	12	,	,	PUNCT
easat-5272	276	13	t.	t.	PROPN
easat-5272	276	14	ince	ince	PROPN
easat-5272	276	15	,	,	PUNCT
easat-5272	276	16	m.	m.	NOUN
easat-5272	276	17	gabbouj	gabbouj	NOUN
easat-5272	276	18	,	,	PUNCT
easat-5272	276	19	and	and	CCONJ
easat-5272	276	20	d.	d.	PROPN
easat-5272	276	21	j.	j.	PROPN
easat-5272	276	22	inman	inman	PROPN
easat-5272	276	23	,	,	PUNCT
easat-5272	276	24	"	"	PUNCT
easat-5272	276	25	1d	1d	NUM
easat-5272	276	26	convolutional	convolutional	ADJ
easat-5272	276	27	neural	neural	ADJ
easat-5272	276	28	networks	network	NOUN
easat-5272	276	29	and	and	CCONJ
easat-5272	276	30	applications	application	NOUN
easat-5272	276	31	:	:	PUNCT
easat-5272	276	32	a	a	DET
easat-5272	276	33	survey	survey	NOUN
easat-5272	276	34	,	,	PUNCT
easat-5272	276	35	"	"	PUNCT
easat-5272	276	36	mechanical	mechanical	ADJ
easat-5272	276	37	systems	system	NOUN
easat-5272	276	38	and	and	CCONJ
easat-5272	276	39	signal	signal	NOUN
easat-5272	276	40	processing	processing	NOUN
easat-5272	276	41	,	,	PUNCT
easat-5272	276	42	vol	vol	NOUN
easat-5272	276	43	.	.	PROPN
easat-5272	276	44	151	151	NUM
easat-5272	276	45	,	,	PUNCT
easat-5272	276	46	p.	p.	NOUN
easat-5272	276	47	107398	107398	NUM
easat-5272	276	48	,	,	PUNCT
easat-5272	276	49	2021	2021	NUM
easat-5272	276	50	.	.	PUNCT
easat-5272	277	1	https://doi.org/10.1016/j.ymssp.2020.107398	https://doi.org/10.1016/j.ymssp.2020.107398	PROPN
easat-5272	277	2	[	[	X
easat-5272	277	3	27	27	NUM
easat-5272	277	4	]	]	PUNCT
easat-5272	277	5	j.	j.	PROPN
easat-5272	277	6	yu	yu	PROPN
easat-5272	277	7	,	,	PUNCT
easat-5272	277	8	c.	c.	PROPN
easat-5272	277	9	zhang	zhang	PROPN
easat-5272	277	10	,	,	PUNCT
easat-5272	277	11	and	and	CCONJ
easat-5272	277	12	s.	s.	PROPN
easat-5272	277	13	wang	wang	PROPN
easat-5272	277	14	,	,	PUNCT
easat-5272	277	15	"	"	PUNCT
easat-5272	277	16	multichannel	multichannel	VERB
easat-5272	277	17	one	one	NUM
easat-5272	277	18	-	-	PUNCT
easat-5272	277	19	dimensional	dimensional	ADJ
easat-5272	277	20	convolutional	convolutional	ADJ
easat-5272	277	21	neural	neural	ADJ
easat-5272	277	22	network	network	NOUN
easat-5272	277	23	-	-	PUNCT
easat-5272	277	24	based	base	VERB
easat-5272	277	25	feature	feature	NOUN
easat-5272	277	26	learning	learn	VERB
easat-5272	277	27	for	for	ADP
easat-5272	277	28	fault	fault	VERB
easat-5272	277	29	diagnosis	diagnosis	NOUN
easat-5272	277	30	of	of	ADP
easat-5272	277	31	industrial	industrial	ADJ
easat-5272	277	32	processes	process	NOUN
easat-5272	277	33	,	,	PUNCT
easat-5272	277	34	"	"	PUNCT
easat-5272	277	35	neural	neural	ADJ
easat-5272	277	36	computing	computing	NOUN
easat-5272	277	37	and	and	CCONJ
easat-5272	277	38	applications	application	NOUN
easat-5272	277	39	,	,	PUNCT
easat-5272	277	40	vol	vol	NOUN
easat-5272	277	41	.	.	PROPN
easat-5272	278	1	33	33	NUM
easat-5272	278	2	,	,	PUNCT
easat-5272	278	3	no	no	INTJ
easat-5272	278	4	.	.	NOUN
easat-5272	278	5	8	8	NUM
easat-5272	278	6	,	,	PUNCT
easat-5272	278	7	pp	pp	ADJ
easat-5272	278	8	.	.	PUNCT
easat-5272	279	1	3085	3085	NUM
easat-5272	279	2	-	-	SYM
easat-5272	279	3	3104	3104	NUM
easat-5272	279	4	,	,	PUNCT
easat-5272	279	5	2021	2021	NUM
easat-5272	279	6	.	.	PUNCT
easat-5272	280	1	https://doi.org/10.1007/s00521-020-05171-4	https://doi.org/10.1007/s00521-020-05171-4	NUM
easat-5272	281	1	[	[	X
easat-5272	281	2	28	28	NUM
easat-5272	281	3	]	]	X
easat-5272	281	4	m.	m.	PROPN
easat-5272	281	5	r.	r.	PROPN
easat-5272	281	6	i.	i.	PROPN
easat-5272	281	7	bhuiyan	bhuiyan	PROPN
easat-5272	281	8	,	,	PUNCT
easat-5272	281	9	m.	m.	PROPN
easat-5272	281	10	r.	r.	PROPN
easat-5272	281	11	faraji	faraji	PROPN
easat-5272	281	12	,	,	PUNCT
easat-5272	281	13	m.	m.	NOUN
easat-5272	281	14	n.	n.	PROPN
easat-5272	281	15	tabassum	tabassum	NOUN
easat-5272	281	16	,	,	PUNCT
easat-5272	281	17	p.	p.	PROPN
easat-5272	281	18	ghose	ghose	PROPN
easat-5272	281	19	,	,	PUNCT
easat-5272	281	20	s.	s.	PROPN
easat-5272	281	21	sarbabidya	sarbabidya	PROPN
easat-5272	281	22	,	,	PUNCT
easat-5272	281	23	and	and	CCONJ
easat-5272	281	24	r.	r.	PROPN
easat-5272	281	25	akter	akter	PROPN
easat-5272	281	26	,	,	PUNCT
easat-5272	281	27	"	"	PUNCT
easat-5272	281	28	leveraging	leverage	VERB
easat-5272	281	29	machine	machine	NOUN
easat-5272	281	30	learning	learning	NOUN
easat-5272	281	31	for	for	ADP
easat-5272	281	32	cybersecurity	cybersecurity	NOUN
easat-5272	281	33	:	:	PUNCT
easat-5272	281	34	techniques	technique	NOUN
easat-5272	281	35	,	,	PUNCT
easat-5272	281	36	challenges	challenge	NOUN
easat-5272	281	37	,	,	PUNCT
easat-5272	281	38	and	and	CCONJ
easat-5272	281	39	future	future	ADJ
easat-5272	281	40	directions	direction	NOUN
easat-5272	281	41	,	,	PUNCT
easat-5272	281	42	"	"	PUNCT
easat-5272	281	43	edelweiss	edelweiss	PROPN
easat-5272	281	44	applied	apply	VERB
easat-5272	281	45	science	science	NOUN
easat-5272	281	46	and	and	CCONJ
easat-5272	281	47	technology	technology	NOUN
easat-5272	281	48	,	,	PUNCT
easat-5272	281	49	vol	vol	NOUN
easat-5272	281	50	.	.	PROPN
easat-5272	281	51	8	8	NUM
easat-5272	281	52	,	,	PUNCT
easat-5272	281	53	no	no	INTJ
easat-5272	281	54	.	.	NOUN
easat-5272	281	55	6	6	NUM
easat-5272	281	56	,	,	PUNCT
easat-5272	281	57	pp	pp	ADJ
easat-5272	281	58	.	.	PUNCT
easat-5272	281	59	4291	4291	NUM
easat-5272	281	60	-	-	SYM
easat-5272	281	61	4307	4307	NUM
easat-5272	281	62	,	,	PUNCT
easat-5272	281	63	2024	2024	NUM
easat-5272	281	64	.	.	PUNCT
easat-5272	282	1	https://doi.org/10.55214/25768484.v8i6.2930	https://doi.org/10.55214/25768484.v8i6.2930	NOUN
easat-5272	283	1	[	[	X
easat-5272	283	2	29	29	NUM
easat-5272	283	3	]	]	X
easat-5272	283	4	h.	h.	PROPN
easat-5272	283	5	zhao	zhao	PROPN
easat-5272	283	6	,	,	PUNCT
easat-5272	283	7	x.	x.	PROPN
easat-5272	283	8	yang	yang	PROPN
easat-5272	283	9	,	,	PUNCT
easat-5272	283	10	b.	b.	PROPN
easat-5272	283	11	chen	chen	PROPN
easat-5272	283	12	,	,	PUNCT
easat-5272	283	13	h.	h.	PROPN
easat-5272	283	14	chen	chen	PROPN
easat-5272	283	15	,	,	PUNCT
easat-5272	283	16	and	and	CCONJ
easat-5272	283	17	w.	w.	PROPN
easat-5272	283	18	deng	deng	PROPN
easat-5272	283	19	,	,	PUNCT
easat-5272	283	20	"	"	PUNCT
easat-5272	283	21	bearing	bear	VERB
easat-5272	283	22	fault	fault	NOUN
easat-5272	283	23	diagnosis	diagnosis	NOUN
easat-5272	283	24	using	use	VERB
easat-5272	283	25	transfer	transfer	NOUN
easat-5272	283	26	learning	learning	NOUN
easat-5272	283	27	and	and	CCONJ
easat-5272	283	28	optimized	optimize	VERB
easat-5272	283	29	deep	deep	ADJ
easat-5272	283	30	belief	belief	NOUN
easat-5272	283	31	network	network	NOUN
easat-5272	283	32	,	,	PUNCT
easat-5272	283	33	"	"	PUNCT
easat-5272	283	34	measurement	measurement	NOUN
easat-5272	283	35	science	science	NOUN
easat-5272	283	36	and	and	CCONJ
easat-5272	283	37	technology	technology	NOUN
easat-5272	283	38	,	,	PUNCT
easat-5272	283	39	vol	vol	NOUN
easat-5272	283	40	.	.	PROPN
easat-5272	284	1	33	33	NUM
easat-5272	284	2	,	,	PUNCT
easat-5272	284	3	no	no	INTJ
easat-5272	284	4	.	.	NOUN
easat-5272	284	5	6	6	NUM
easat-5272	284	6	,	,	PUNCT
easat-5272	284	7	p.	p.	NOUN
easat-5272	284	8	065009	065009	NUM
easat-5272	284	9	,	,	PUNCT
easat-5272	284	10	2022	2022	NUM
easat-5272	284	11	.	.	PUNCT
easat-5272	285	1	https://doi.org/10.1088/1361-6501/ac5341	https://doi.org/10.1088/1361-6501/ac5341	PRON
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easat-5272	285	7	https://doi.org/10.1016/j.measurement.2022.112346	https://doi.org/10.1016/j.measurement.2022.112346	ADJ
easat-5272	285	8	https://doi.org/10.32604/cmc.2022.021716	https://doi.org/10.32604/cmc.2022.021716	NOUN
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easat-5272	285	10	https://doi.org/10.1109/access.2021.3053858	https://doi.org/10.1109/access.2021.3053858	PROPN
easat-5272	285	11	https://doi.org/10.1109/access.2022.3141074	https://doi.org/10.1109/access.2022.3141074	PROPN
easat-5272	285	12	https://doi.org/10.1016/j.ymssp.2022.108964	https://doi.org/10.1016/j.ymssp.2022.108964	PROPN
easat-5272	285	13	https://doi.org/10.1016/j.measurement.2020.108202	https://doi.org/10.1016/j.measurement.2020.108202	PROPN
easat-5272	285	14	https://doi.org/10.1016/j.isatra.2021.03.042	https://doi.org/10.1016/j.isatra.2021.03.042	PROPN
easat-5272	285	15	https://doi.org/10.1016/j.renene.2021.01.143	https://doi.org/10.1016/j.renene.2021.01.143	VERB
easat-5272	285	16	https://doi.org/10.3390/s22176602	https://doi.org/10.3390/s22176602	PROPN
easat-5272	285	17	https://doi.org/10.1155/2021/5525270	https://doi.org/10.1155/2021/5525270	PROPN
easat-5272	285	18	https://doi.org/10.1016/j.measurement.2021.109532	https://doi.org/10.1016/j.measurement.2021.109532	NOUN
easat-5272	285	19	https://doi.org/10.1088/1361-6501/ac491e	https://doi.org/10.1088/1361-6501/ac491e	NUM
easat-5272	285	20	https://doi.org/10.1016/j.ymssp.2020.107398	https://doi.org/10.1016/j.ymssp.2020.107398	PROPN
easat-5272	285	21	https://doi.org/10.1007/s00521-020-05171-4	https://doi.org/10.1007/s00521-020-05171-4	NUM
easat-5272	285	22	https://doi.org/10.55214/25768484.v8i6.2930	https://doi.org/10.55214/25768484.v8i6.2930	NOUN
easat-5272	285	23	https://doi.org/10.1088/1361-6501/ac5341	https://doi.org/10.1088/1361-6501/ac5341	NOUN
easat-5272	285	24	650	650	NUM
easat-5272	285	25	edelweiss	edelweiss	PROPN
easat-5272	285	26	applied	apply	VERB
easat-5272	285	27	science	science	NOUN
easat-5272	285	28	and	and	CCONJ
easat-5272	285	29	technology	technology	NOUN
easat-5272	285	30	issn	issn	PROPN
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easat-5272	285	32	2576	2576	NUM
easat-5272	285	33	-	-	SYM
easat-5272	285	34	8484	8484	NUM
easat-5272	285	35	vol	vol	NOUN
easat-5272	285	36	.	.	PROPN
easat-5272	286	1	9	9	NUM
easat-5272	286	2	,	,	PUNCT
easat-5272	286	3	no	no	INTJ
easat-5272	286	4	.	.	NOUN
easat-5272	287	1	3	3	NUM
easat-5272	287	2	:	:	PUNCT
easat-5272	287	3	633	633	NUM
easat-5272	287	4	-	-	SYM
easat-5272	287	5	650	650	NUM
easat-5272	287	6	,	,	PUNCT
easat-5272	287	7	2025	2025	NUM
easat-5272	287	8	doi	doi	NOUN
easat-5272	287	9	:	:	PUNCT
easat-5272	287	10	10.55214/25768484.v9i3.5272	10.55214/25768484.v9i3.5272	NUM
easat-5272	287	11	©	©	PROPN
easat-5272	287	12	2025	2025	NUM
easat-5272	287	13	by	by	ADP
easat-5272	287	14	the	the	DET
easat-5272	287	15	authors	author	NOUN
easat-5272	287	16	;	;	PUNCT
easat-5272	287	17	licensee	licensee	PROPN
easat-5272	287	18	learning	learning	NOUN
easat-5272	287	19	gate	gate	NOUN
easat-5272	288	1	[	[	X
easat-5272	288	2	30	30	NUM
easat-5272	288	3	]	]	PUNCT
easat-5272	288	4	l.	l.	PROPN
easat-5272	288	5	zhu	zhu	PROPN
easat-5272	288	6	,	,	PUNCT
easat-5272	288	7	y.	y.	PROPN
easat-5272	288	8	zhou	zhou	PROPN
easat-5272	288	9	,	,	PUNCT
easat-5272	288	10	r.	r.	PROPN
easat-5272	288	11	jia	jia	PROPN
easat-5272	288	12	,	,	PUNCT
easat-5272	288	13	w.	w.	PROPN
easat-5272	288	14	gu	gu	PROPN
easat-5272	288	15	,	,	PUNCT
easat-5272	288	16	t.	t.	PROPN
easat-5272	288	17	h.	h.	PROPN
easat-5272	288	18	luan	luan	PROPN
easat-5272	288	19	,	,	PUNCT
easat-5272	288	20	and	and	CCONJ
easat-5272	288	21	m.	m.	PROPN
easat-5272	288	22	li	li	PROPN
easat-5272	288	23	,	,	PUNCT
easat-5272	288	24	"	"	PUNCT
easat-5272	288	25	real	real	ADJ
easat-5272	288	26	-	-	PUNCT
easat-5272	288	27	time	time	NOUN
easat-5272	288	28	fault	fault	NOUN
easat-5272	288	29	diagnosis	diagnosis	NOUN
easat-5272	288	30	for	for	ADP
easat-5272	288	31	evs	evs	NOUN
easat-5272	288	32	with	with	ADP
easat-5272	288	33	multilabel	multilabel	NOUN
easat-5272	288	34	feature	feature	NOUN
easat-5272	288	35	selection	selection	NOUN
easat-5272	288	36	and	and	CCONJ
easat-5272	288	37	sliding	slide	VERB
easat-5272	288	38	window	window	NOUN
easat-5272	288	39	control	control	NOUN
easat-5272	288	40	,	,	PUNCT
easat-5272	288	41	"	"	PUNCT
easat-5272	288	42	ieee	ieee	NOUN
easat-5272	288	43	internet	internet	NOUN
easat-5272	288	44	of	of	ADP
easat-5272	288	45	things	thing	NOUN
easat-5272	288	46	journal	journal	NOUN
easat-5272	288	47	,	,	PUNCT
easat-5272	288	48	vol	vol	NOUN
easat-5272	288	49	.	.	PROPN
easat-5272	288	50	9	9	NUM
easat-5272	288	51	,	,	PUNCT
easat-5272	288	52	no	no	INTJ
easat-5272	288	53	.	.	NOUN
easat-5272	288	54	19	19	NUM
easat-5272	288	55	,	,	PUNCT
easat-5272	288	56	pp	pp	ADJ
easat-5272	288	57	.	.	PUNCT
easat-5272	289	1	18346	18346	NUM
easat-5272	289	2	-	-	SYM
easat-5272	289	3	18359	18359	NUM
easat-5272	289	4	,	,	PUNCT
easat-5272	289	5	2022	2022	NUM
easat-5272	289	6	.	.	PUNCT
easat-5272	290	1	https://doi.org/10.1109/jiot.2022.3160298	https://doi.org/10.1109/jiot.2022.3160298	PROPN
easat-5272	291	1	[	[	X
easat-5272	291	2	31	31	NUM
easat-5272	291	3	]	]	PUNCT
easat-5272	291	4	s.	s.	PROPN
easat-5272	291	5	r.	r.	PROPN
easat-5272	291	6	saufi	saufi	PROPN
easat-5272	291	7	,	,	PUNCT
easat-5272	291	8	z.	z.	PROPN
easat-5272	291	9	a.	a.	PROPN
easat-5272	291	10	b.	b.	PROPN
easat-5272	291	11	ahmad	ahmad	PROPN
easat-5272	291	12	,	,	PUNCT
easat-5272	291	13	m.	m.	NOUN
easat-5272	291	14	s.	s.	PROPN
easat-5272	291	15	leong	leong	PROPN
easat-5272	291	16	,	,	PUNCT
easat-5272	291	17	and	and	CCONJ
easat-5272	291	18	m.	m.	PROPN
easat-5272	291	19	h.	h.	PROPN
easat-5272	291	20	lim	lim	PROPN
easat-5272	291	21	,	,	PUNCT
easat-5272	291	22	"	"	PUNCT
easat-5272	291	23	gearbox	gearbox	ADJ
easat-5272	291	24	fault	fault	NOUN
easat-5272	291	25	diagnosis	diagnosis	NOUN
easat-5272	291	26	using	use	VERB
easat-5272	291	27	a	a	DET
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easat-5272	291	29	learning	learning	NOUN
easat-5272	291	30	model	model	NOUN
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easat-5272	291	33	data	data	NOUN
easat-5272	291	34	sample	sample	NOUN
easat-5272	291	35	,	,	PUNCT
easat-5272	291	36	"	"	PUNCT
easat-5272	291	37	ieee	ieee	NOUN
easat-5272	291	38	transactions	transaction	NOUN
easat-5272	291	39	on	on	ADP
easat-5272	291	40	industrial	industrial	ADJ
easat-5272	291	41	informatics	informatic	NOUN
easat-5272	291	42	,	,	PUNCT
easat-5272	291	43	vol	vol	NOUN
easat-5272	291	44	.	.	PROPN
easat-5272	291	45	16	16	NUM
easat-5272	291	46	,	,	PUNCT
easat-5272	291	47	no	no	INTJ
easat-5272	291	48	.	.	NOUN
easat-5272	291	49	10	10	NUM
easat-5272	291	50	,	,	PUNCT
easat-5272	291	51	pp	pp	ADJ
easat-5272	291	52	.	.	PUNCT
easat-5272	292	1	6263	6263	NUM
easat-5272	292	2	-	-	SYM
easat-5272	292	3	6271	6271	NUM
easat-5272	292	4	,	,	PUNCT
easat-5272	292	5	2020	2020	NUM
easat-5272	292	6	.	.	PUNCT
easat-5272	293	1	https://doi.org/10.1109/tii.2020.2967822	https://doi.org/10.1109/tii.2020.2967822	NOUN
easat-5272	294	1	[	[	X
easat-5272	294	2	32	32	NUM
easat-5272	294	3	]	]	PUNCT
easat-5272	294	4	x.	x.	PROPN
easat-5272	295	1	p.	p.	PROPN
easat-5272	295	2	duro	duro	PROPN
easat-5272	295	3	,	,	PUNCT
easat-5272	295	4	a.	a.	PROPN
easat-5272	295	5	uka	uka	PROPN
easat-5272	295	6	,	,	PUNCT
easat-5272	295	7	g.	g.	PROPN
easat-5272	295	8	alushllari	alushllari	PROPN
easat-5272	295	9	,	,	PUNCT
easat-5272	295	10	a.	a.	PROPN
easat-5272	295	11	n.	n.	PROPN
easat-5272	295	12	halili	halili	PROPN
easat-5272	295	13	,	,	PUNCT
easat-5272	295	14	d.	d.	PROPN
easat-5272	295	15	a.	a.	PROPN
easat-5272	295	16	karras	karras	PROPN
easat-5272	295	17	,	,	PUNCT
easat-5272	295	18	and	and	CCONJ
easat-5272	295	19	n.	n.	PROPN
easat-5272	295	20	e.	e.	PROPN
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easat-5272	295	22	,	,	PUNCT
easat-5272	295	23	"	"	PUNCT
easat-5272	295	24	optimizing	optimize	VERB
easat-5272	295	25	combination	combination	NOUN
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easat-5272	295	27	feature	feature	NOUN
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easat-5272	295	38	"	"	PUNCT
easat-5272	295	39	edelweiss	edelweiss	PROPN
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easat-5272	295	41	science	science	NOUN
easat-5272	295	42	and	and	CCONJ
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easat-5272	295	44	,	,	PUNCT
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easat-5272	295	52	,	,	PUNCT
easat-5272	295	53	pp	pp	ADJ
easat-5272	295	54	.	.	PUNCT
easat-5272	296	1	682	682	NUM
easat-5272	296	2	-	-	SYM
easat-5272	296	3	707	707	NUM
easat-5272	296	4	,	,	PUNCT
easat-5272	296	5	2025	2025	NUM
easat-5272	296	6	.	.	PUNCT
easat-5272	297	1	https://doi.org/10.55214/25768484.v9i2.4570	https://doi.org/10.55214/25768484.v9i2.4570	NOUN
easat-5272	298	1	[	[	X
easat-5272	298	2	33	33	NUM
easat-5272	298	3	]	]	PUNCT
easat-5272	298	4	m.	m.	NOUN
easat-5272	298	5	a.	a.	PROPN
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easat-5272	298	10	.	.	PROPN
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easat-5272	298	12	"	"	PUNCT
easat-5272	298	13	sentiment	sentiment	NOUN
easat-5272	298	14	analysis	analysis	NOUN
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easat-5272	298	16	social	social	ADJ
easat-5272	298	17	media	medium	NOUN
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easat-5272	298	19	:	:	PUNCT
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easat-5272	298	29	,	,	PUNCT
easat-5272	298	30	"	"	PUNCT
easat-5272	298	31	edelweiss	edelweiss	PROPN
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easat-5272	298	33	science	science	NOUN
easat-5272	298	34	and	and	CCONJ
easat-5272	298	35	technology	technology	NOUN
easat-5272	298	36	,	,	PUNCT
easat-5272	298	37	vol	vol	NOUN
easat-5272	298	38	.	.	PROPN
easat-5272	299	1	9	9	NUM
easat-5272	299	2	,	,	PUNCT
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easat-5272	299	6	,	,	PUNCT
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easat-5272	299	8	.	.	PUNCT
easat-5272	300	1	545	545	NUM
easat-5272	300	2	-	-	SYM
easat-5272	300	3	565	565	NUM
easat-5272	300	4	,	,	PUNCT
easat-5272	300	5	2025	2025	NUM
easat-5272	300	6	.	.	PUNCT
easat-5272	301	1	https://doi.org/10.55214/25768484.v9i1.4164	https://doi.org/10.55214/25768484.v9i1.4164	NOUN
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easat-5272	301	4	]	]	X
easat-5272	301	5	w.	w.	PROPN
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easat-5272	301	7	,	,	PUNCT
easat-5272	301	8	y.	y.	PROPN
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easat-5272	301	10	,	,	PUNCT
easat-5272	301	11	z.	z.	PROPN
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easat-5272	301	13	,	,	PUNCT
easat-5272	301	14	n.	n.	PROPN
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easat-5272	301	16	,	,	PUNCT
easat-5272	301	17	and	and	CCONJ
easat-5272	301	18	j.	j.	PROPN
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easat-5272	301	20	,	,	PUNCT
easat-5272	301	21	"	"	PUNCT
easat-5272	301	22	fault	fault	VERB
easat-5272	301	23	diagnosis	diagnosis	NOUN
easat-5272	301	24	for	for	ADP
easat-5272	301	25	rolling	rolling	ADJ
easat-5272	301	26	bearing	bearing	NOUN
easat-5272	301	27	using	use	VERB
easat-5272	301	28	a	a	DET
easat-5272	301	29	hybrid	hybrid	ADJ
easat-5272	301	30	hierarchical	hierarchical	ADJ
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easat-5272	301	35	-	-	PUNCT
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easat-5272	301	37	dispersion	dispersion	NOUN
easat-5272	301	38	entropy	entropy	NOUN
easat-5272	301	39	and	and	CCONJ
easat-5272	301	40	parametric	parametric	PROPN
easat-5272	301	41	t	t	PROPN
easat-5272	301	42	-	-	PUNCT
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easat-5272	301	44	algorithm	algorithm	NOUN
easat-5272	301	45	,	,	PUNCT
easat-5272	301	46	"	"	PUNCT
easat-5272	301	47	measurement	measurement	NOUN
easat-5272	301	48	,	,	PUNCT
easat-5272	301	49	vol	vol	NOUN
easat-5272	301	50	.	.	PROPN
easat-5272	301	51	191	191	NUM
easat-5272	301	52	,	,	PUNCT
easat-5272	301	53	p.	p.	NOUN
easat-5272	301	54	110843	110843	NUM
easat-5272	301	55	,	,	PUNCT
easat-5272	301	56	2022	2022	NUM
easat-5272	301	57	.	.	PUNCT
easat-5272	302	1	https://doi.org/10.1016/j.measurement.2022.110843	https://doi.org/10.1016/j.measurement.2022.110843	PROPN
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easat-5272	302	3	35	35	NUM
easat-5272	302	4	]	]	PUNCT
easat-5272	302	5	l.	l.	PROPN
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easat-5272	302	7	,	,	PUNCT
easat-5272	302	8	h.	h.	PROPN
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easat-5272	302	10	,	,	PUNCT
easat-5272	302	11	j.	j.	PROPN
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easat-5272	302	14	d.	d.	PROPN
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easat-5272	302	17	and	and	CCONJ
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easat-5272	302	20	,	,	PUNCT
easat-5272	302	21	"	"	PUNCT
easat-5272	302	22	a	a	DET
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easat-5272	302	33	,	,	PUNCT
easat-5272	302	34	"	"	PUNCT
easat-5272	302	35	ieee	ieee	NOUN
easat-5272	302	36	transactions	transaction	NOUN
easat-5272	302	37	on	on	ADP
easat-5272	302	38	industrial	industrial	ADJ
easat-5272	302	39	informatics	informatic	NOUN
easat-5272	302	40	,	,	PUNCT
easat-5272	302	41	pp	pp	ADP
easat-5272	302	42	.	.	PUNCT
easat-5272	302	43	9633	9633	NUM
easat-5272	302	44	9643	9643	NUM
easat-5272	302	45	,	,	PUNCT
easat-5272	302	46	2024	2024	NUM
easat-5272	302	47	.	.	PUNCT
easat-5272	303	1	https://doi.org/10.1109/tii.2024.3383459	https://doi.org/10.1109/tii.2024.3383459	X
easat-5272	303	2	https://doi.org/10.1109/jiot.2022.3160298	https://doi.org/10.1109/jiot.2022.3160298	PROPN
easat-5272	303	3	https://doi.org/10.1109/tii.2020.2967822	https://doi.org/10.1109/tii.2020.2967822	NOUN
easat-5272	303	4	https://doi.org/10.55214/25768484.v9i2.4570	https://doi.org/10.55214/25768484.v9i2.4570	NOUN
easat-5272	303	5	https://doi.org/10.55214/25768484.v9i1.4164	https://doi.org/10.55214/25768484.v9i1.4164	NOUN
easat-5272	303	6	https://doi.org/10.1016/j.measurement.2022.110843	https://doi.org/10.1016/j.measurement.2022.110843	ADJ
easat-5272	303	7	https://doi.org/10.1109/tii.2024.3383459	https://doi.org/10.1109/tii.2024.3383459	NOUN