id	sid	tid	token	lemma	pos
ajst-5639	1	1	academic	academic	ADJ
ajst-5639	1	2	journal	journal	NOUN
ajst-5639	1	3	of	of	ADP
ajst-5639	1	4	science	science	NOUN
ajst-5639	1	5	and	and	CCONJ
ajst-5639	1	6	technology	technology	NOUN
ajst-5639	1	7	issn	issn	NOUN
ajst-5639	1	8	:	:	PUNCT
ajst-5639	1	9	2771	2771	NUM
ajst-5639	1	10	-	-	SYM
ajst-5639	1	11	3032	3032	NUM
ajst-5639	1	12	|	|	NOUN
ajst-5639	1	13	vol	vol	NOUN
ajst-5639	1	14	.	.	PROPN
ajst-5639	2	1	5	5	NUM
ajst-5639	2	2	,	,	PUNCT
ajst-5639	2	3	no	no	INTJ
ajst-5639	2	4	.	.	NOUN
ajst-5639	2	5	1	1	NUM
ajst-5639	2	6	,	,	PUNCT
ajst-5639	2	7	2023	2023	NUM
ajst-5639	2	8	233	233	NUM
ajst-5639	2	9	fault	fault	NOUN
ajst-5639	2	10	diagnosis	diagnosis	NOUN
ajst-5639	2	11	of	of	ADP
ajst-5639	2	12	wind	wind	NOUN
ajst-5639	2	13	turbine	turbine	NOUN
ajst-5639	2	14	rolling	roll	VERB
ajst-5639	2	15	bearing	bearing	NOUN
ajst-5639	2	16	based	base	VERB
ajst-5639	2	17	on	on	ADP
ajst-5639	2	18	vmd‐sg‐resnet	vmd‐sg‐resnet	NOUN
ajst-5639	2	19	chenggang	chenggang	PROPN
ajst-5639	2	20	zhen	zhen	PROPN
ajst-5639	2	21	,	,	PUNCT
ajst-5639	2	22	min	min	PROPN
ajst-5639	2	23	liu	liu	PROPN
ajst-5639	2	24	school	school	PROPN
ajst-5639	2	25	of	of	ADP
ajst-5639	2	26	control	control	NOUN
ajst-5639	2	27	and	and	CCONJ
ajst-5639	2	28	computer	computer	NOUN
ajst-5639	2	29	engineering	engineering	NOUN
ajst-5639	2	30	,	,	PUNCT
ajst-5639	2	31	north	north	PROPN
ajst-5639	2	32	china	china	PROPN
ajst-5639	2	33	electric	electric	PROPN
ajst-5639	2	34	power	power	PROPN
ajst-5639	2	35	university	university	PROPN
ajst-5639	2	36	,	,	PUNCT
ajst-5639	2	37	baoding	baoding	PROPN
ajst-5639	2	38	071003	071003	NUM
ajst-5639	2	39	,	,	PUNCT
ajst-5639	2	40	china	china	PROPN
ajst-5639	2	41	abstract	abstract	NOUN
ajst-5639	2	42	:	:	PUNCT
ajst-5639	2	43	in	in	ADP
ajst-5639	2	44	view	view	NOUN
ajst-5639	2	45	of	of	ADP
ajst-5639	2	46	the	the	DET
ajst-5639	2	47	noise	noise	NOUN
ajst-5639	2	48	existing	exist	VERB
ajst-5639	2	49	in	in	ADP
ajst-5639	2	50	the	the	DET
ajst-5639	2	51	original	original	ADJ
ajst-5639	2	52	vibration	vibration	NOUN
ajst-5639	2	53	data	datum	NOUN
ajst-5639	2	54	,	,	PUNCT
ajst-5639	2	55	the	the	DET
ajst-5639	2	56	vmd	vmd	PROPN
ajst-5639	2	57	-	-	PUNCT
ajst-5639	2	58	sg	sg	PROPN
ajst-5639	2	59	noise	noise	NOUN
ajst-5639	2	60	reduction	reduction	NOUN
ajst-5639	2	61	algorithm	algorithm	NOUN
ajst-5639	2	62	is	be	AUX
ajst-5639	2	63	proposed	propose	VERB
ajst-5639	2	64	,	,	PUNCT
ajst-5639	2	65	and	and	CCONJ
ajst-5639	2	66	the	the	DET
ajst-5639	2	67	fault	fault	NOUN
ajst-5639	2	68	diagnosis	diagnosis	NOUN
ajst-5639	2	69	of	of	ADP
ajst-5639	2	70	wind	wind	NOUN
ajst-5639	2	71	turbine	turbine	NOUN
ajst-5639	2	72	rolling	rolling	NOUN
ajst-5639	2	73	bearing	bearing	NOUN
ajst-5639	2	74	is	be	AUX
ajst-5639	2	75	realized	realize	VERB
ajst-5639	2	76	by	by	ADP
ajst-5639	2	77	combining	combine	VERB
ajst-5639	2	78	the	the	DET
ajst-5639	2	79	two	two	NUM
ajst-5639	2	80	-	-	PUNCT
ajst-5639	2	81	dimensional	dimensional	ADJ
ajst-5639	2	82	gray	gray	ADJ
ajst-5639	2	83	image	image	NOUN
ajst-5639	2	84	and	and	CCONJ
ajst-5639	2	85	resnet	resnet	NOUN
ajst-5639	2	86	.	.	PUNCT
ajst-5639	3	1	firstly	firstly	ADV
ajst-5639	3	2	,	,	PUNCT
ajst-5639	3	3	vmd	vmd	PROPN
ajst-5639	3	4	is	be	AUX
ajst-5639	3	5	used	use	VERB
ajst-5639	3	6	to	to	PART
ajst-5639	3	7	decompose	decompose	VERB
ajst-5639	3	8	the	the	DET
ajst-5639	3	9	original	original	ADJ
ajst-5639	3	10	signal	signal	NOUN
ajst-5639	3	11	to	to	PART
ajst-5639	3	12	get	get	VERB
ajst-5639	3	13	imf	imf	PROPN
ajst-5639	3	14	components	component	NOUN
ajst-5639	3	15	,	,	PUNCT
ajst-5639	3	16	and	and	CCONJ
ajst-5639	3	17	savitzky	savitzky	NOUN
ajst-5639	3	18	-	-	PUNCT
ajst-5639	3	19	golay	golay	NOUN
ajst-5639	3	20	filter	filter	NOUN
ajst-5639	3	21	is	be	AUX
ajst-5639	3	22	used	use	VERB
ajst-5639	3	23	to	to	PART
ajst-5639	3	24	denoise	denoise	VERB
ajst-5639	3	25	the	the	DET
ajst-5639	3	26	noisy	noisy	ADJ
ajst-5639	3	27	components	component	NOUN
ajst-5639	3	28	,	,	PUNCT
ajst-5639	3	29	and	and	CCONJ
ajst-5639	3	30	the	the	DET
ajst-5639	3	31	denoised	denoise	VERB
ajst-5639	3	32	components	component	NOUN
ajst-5639	3	33	and	and	CCONJ
ajst-5639	3	34	other	other	ADJ
ajst-5639	3	35	components	component	NOUN
ajst-5639	3	36	are	be	AUX
ajst-5639	3	37	reconstructed	reconstruct	VERB
ajst-5639	3	38	to	to	PART
ajst-5639	3	39	get	get	VERB
ajst-5639	3	40	a	a	DET
ajst-5639	3	41	pure	pure	ADJ
ajst-5639	3	42	signal.after	signal.after	NOUN
ajst-5639	3	43	the	the	DET
ajst-5639	3	44	one	one	NUM
ajst-5639	3	45	-	-	PUNCT
ajst-5639	3	46	dimensional	dimensional	ADJ
ajst-5639	3	47	signal	signal	NOUN
ajst-5639	3	48	is	be	AUX
ajst-5639	3	49	converted	convert	VERB
ajst-5639	3	50	into	into	ADP
ajst-5639	3	51	a	a	DET
ajst-5639	3	52	two	two	NUM
ajst-5639	3	53	-	-	PUNCT
ajst-5639	3	54	dimensional	dimensional	ADJ
ajst-5639	3	55	image	image	NOUN
ajst-5639	3	56	,	,	PUNCT
ajst-5639	3	57	a	a	DET
ajst-5639	3	58	diagnosis	diagnosis	NOUN
ajst-5639	3	59	model	model	NOUN
ajst-5639	3	60	is	be	AUX
ajst-5639	3	61	built	build	VERB
ajst-5639	3	62	based	base	VERB
ajst-5639	3	63	on	on	ADP
ajst-5639	3	64	resnet	resnet	ADJ
ajst-5639	3	65	network	network	NOUN
ajst-5639	3	66	.	.	PUNCT
ajst-5639	4	1	the	the	DET
ajst-5639	4	2	experimental	experimental	ADJ
ajst-5639	4	3	results	result	NOUN
ajst-5639	4	4	show	show	VERB
ajst-5639	4	5	that	that	SCONJ
ajst-5639	4	6	the	the	DET
ajst-5639	4	7	rolling	roll	VERB
ajst-5639	4	8	bearing	bear	VERB
ajst-5639	4	9	fault	fault	NOUN
ajst-5639	4	10	diagnosis	diagnosis	NOUN
ajst-5639	4	11	based	base	VERB
ajst-5639	4	12	on	on	ADP
ajst-5639	4	13	the	the	DET
ajst-5639	4	14	model	model	NOUN
ajst-5639	4	15	has	have	VERB
ajst-5639	4	16	a	a	DET
ajst-5639	4	17	high	high	ADJ
ajst-5639	4	18	diagnosis	diagnosis	NOUN
ajst-5639	4	19	accuracy	accuracy	NOUN
ajst-5639	4	20	.	.	PUNCT
ajst-5639	5	1	keywords	keyword	NOUN
ajst-5639	5	2	:	:	PUNCT
ajst-5639	5	3	olling	olle	VERB
ajst-5639	5	4	bearing	bearing	NOUN
ajst-5639	5	5	,	,	PUNCT
ajst-5639	5	6	two	two	NUM
ajst-5639	5	7	-	-	PUNCT
ajst-5639	5	8	dimensional	dimensional	ADJ
ajst-5639	5	9	gray	gray	ADJ
ajst-5639	5	10	image	image	NOUN
ajst-5639	5	11	,	,	PUNCT
ajst-5639	5	12	fault	fault	NOUN
ajst-5639	5	13	diagnosis	diagnosis	NOUN
ajst-5639	5	14	,	,	PUNCT
ajst-5639	5	15	resnet	resnet	NOUN
ajst-5639	5	16	network	network	NOUN
ajst-5639	5	17	,	,	PUNCT
ajst-5639	5	18	vmd	vmd	PROPN
ajst-5639	5	19	.	.	PROPN
ajst-5639	5	20	1	1	X
ajst-5639	5	21	.	.	X
ajst-5639	5	22	introduction	introduction	NOUN
ajst-5639	5	23	nowadays	nowadays	ADV
ajst-5639	5	24	,	,	PUNCT
ajst-5639	5	25	with	with	ADP
ajst-5639	5	26	the	the	DET
ajst-5639	5	27	rapid	rapid	ADJ
ajst-5639	5	28	development	development	NOUN
ajst-5639	5	29	of	of	ADP
ajst-5639	5	30	the	the	DET
ajst-5639	5	31	world	world	NOUN
ajst-5639	5	32	economy	economy	NOUN
ajst-5639	5	33	,	,	PUNCT
ajst-5639	5	34	non	non	ADJ
ajst-5639	5	35	-	-	ADJ
ajst-5639	5	36	renewable	renewable	ADJ
ajst-5639	5	37	energy	energy	NOUN
ajst-5639	5	38	has	have	AUX
ajst-5639	5	39	been	be	AUX
ajst-5639	5	40	over	over	ADV
ajst-5639	5	41	-	-	PUNCT
ajst-5639	5	42	exploited	exploit	VERB
ajst-5639	5	43	by	by	ADP
ajst-5639	5	44	human	human	ADJ
ajst-5639	5	45	beings	being	NOUN
ajst-5639	5	46	,	,	PUNCT
ajst-5639	5	47	resulting	result	VERB
ajst-5639	5	48	in	in	ADP
ajst-5639	5	49	an	an	DET
ajst-5639	5	50	urgent	urgent	ADJ
ajst-5639	5	51	need	need	NOUN
ajst-5639	5	52	for	for	ADP
ajst-5639	5	53	inventory	inventory	NOUN
ajst-5639	5	54	.	.	PUNCT
ajst-5639	6	1	wind	wind	NOUN
ajst-5639	6	2	energy	energy	NOUN
ajst-5639	6	3	,	,	PUNCT
ajst-5639	6	4	as	as	ADP
ajst-5639	6	5	a	a	DET
ajst-5639	6	6	stable	stable	ADJ
ajst-5639	6	7	and	and	CCONJ
ajst-5639	6	8	clean	clean	ADJ
ajst-5639	6	9	renewable	renewable	ADJ
ajst-5639	6	10	energy	energy	NOUN
ajst-5639	6	11	,	,	PUNCT
ajst-5639	6	12	is	be	AUX
ajst-5639	6	13	abundant	abundant	ADJ
ajst-5639	6	14	in	in	ADP
ajst-5639	6	15	energy	energy	NOUN
ajst-5639	6	16	storage	storage	NOUN
ajst-5639	6	17	.	.	PUNCT
ajst-5639	7	1	therefore	therefore	ADV
ajst-5639	7	2	,	,	PUNCT
ajst-5639	7	3	wind	wind	NOUN
ajst-5639	7	4	power	power	NOUN
ajst-5639	7	5	generation	generation	NOUN
ajst-5639	7	6	has	have	AUX
ajst-5639	7	7	become	become	VERB
ajst-5639	7	8	an	an	DET
ajst-5639	7	9	important	important	ADJ
ajst-5639	7	10	choice	choice	NOUN
ajst-5639	7	11	for	for	ADP
ajst-5639	7	12	energy	energy	NOUN
ajst-5639	7	13	development	development	NOUN
ajst-5639	7	14	in	in	ADP
ajst-5639	7	15	recent	recent	ADJ
ajst-5639	7	16	years	year	NOUN
ajst-5639	7	17	.	.	PUNCT
ajst-5639	8	1	according	accord	VERB
ajst-5639	8	2	to	to	ADP
ajst-5639	8	3	statistics	statistic	NOUN
ajst-5639	8	4	,	,	PUNCT
ajst-5639	8	5	the	the	DET
ajst-5639	8	6	installed	instal	VERB
ajst-5639	8	7	capacity	capacity	NOUN
ajst-5639	8	8	of	of	ADP
ajst-5639	8	9	the	the	DET
ajst-5639	8	10	fan	fan	NOUN
ajst-5639	8	11	is	be	AUX
ajst-5639	8	12	increasing	increase	VERB
ajst-5639	8	13	year	year	NOUN
ajst-5639	8	14	by	by	ADP
ajst-5639	8	15	year	year	NOUN
ajst-5639	8	16	,	,	PUNCT
ajst-5639	8	17	but	but	CCONJ
ajst-5639	8	18	due	due	ADP
ajst-5639	8	19	to	to	ADP
ajst-5639	8	20	the	the	DET
ajst-5639	8	21	harsh	harsh	ADJ
ajst-5639	8	22	environment	environment	NOUN
ajst-5639	8	23	of	of	ADP
ajst-5639	8	24	the	the	DET
ajst-5639	8	25	fan	fan	NOUN
ajst-5639	8	26	,	,	PUNCT
ajst-5639	8	27	it	it	PRON
ajst-5639	8	28	is	be	AUX
ajst-5639	8	29	easy	easy	ADJ
ajst-5639	8	30	to	to	PART
ajst-5639	8	31	cause	cause	VERB
ajst-5639	8	32	fan	fan	NOUN
ajst-5639	8	33	failure	failure	NOUN
ajst-5639	8	34	,	,	PUNCT
ajst-5639	8	35	and	and	CCONJ
ajst-5639	8	36	the	the	DET
ajst-5639	8	37	bearing	bearing	NOUN
ajst-5639	8	38	,	,	PUNCT
ajst-5639	8	39	as	as	ADP
ajst-5639	8	40	the	the	DET
ajst-5639	8	41	main	main	ADJ
ajst-5639	8	42	part	part	NOUN
ajst-5639	8	43	of	of	ADP
ajst-5639	8	44	the	the	DET
ajst-5639	8	45	fan	fan	NOUN
ajst-5639	8	46	,	,	PUNCT
ajst-5639	8	47	also	also	ADV
ajst-5639	8	48	has	have	VERB
ajst-5639	8	49	a	a	DET
ajst-5639	8	50	high	high	ADJ
ajst-5639	8	51	failure	failure	NOUN
ajst-5639	8	52	rate	rate	NOUN
ajst-5639	8	53	,	,	PUNCT
ajst-5639	8	54	so	so	ADV
ajst-5639	8	55	fault	fault	VERB
ajst-5639	8	56	diagnosis	diagnosis	NOUN
ajst-5639	8	57	is	be	AUX
ajst-5639	8	58	of	of	ADP
ajst-5639	8	59	great	great	ADJ
ajst-5639	8	60	significance	significance	NOUN
ajst-5639	8	61	for	for	ADP
ajst-5639	8	62	the	the	DET
ajst-5639	8	63	safe	safe	ADJ
ajst-5639	8	64	and	and	CCONJ
ajst-5639	8	65	stable	stable	ADJ
ajst-5639	8	66	operation	operation	NOUN
ajst-5639	8	67	of	of	ADP
ajst-5639	8	68	the	the	DET
ajst-5639	8	69	wind	wind	NOUN
ajst-5639	8	70	turbine	turbine	NOUN
ajst-5639	8	71	and	and	CCONJ
ajst-5639	8	72	reducing	reduce	VERB
ajst-5639	8	73	the	the	DET
ajst-5639	8	74	maintenance	maintenance	NOUN
ajst-5639	8	75	costs	cost	NOUN
ajst-5639	8	76	in	in	ADP
ajst-5639	8	77	the	the	DET
ajst-5639	8	78	later	later	ADJ
ajst-5639	8	79	period	period	NOUN
ajst-5639	8	80	.	.	PUNCT
ajst-5639	9	1	at	at	ADP
ajst-5639	9	2	present	present	ADJ
ajst-5639	9	3	,	,	PUNCT
ajst-5639	9	4	there	there	PRON
ajst-5639	9	5	are	be	VERB
ajst-5639	9	6	three	three	NUM
ajst-5639	9	7	main	main	ADJ
ajst-5639	9	8	methods	method	NOUN
ajst-5639	9	9	for	for	ADP
ajst-5639	9	10	bearing	bear	VERB
ajst-5639	9	11	fault	fault	NOUN
ajst-5639	9	12	diagnosis	diagnosis	NOUN
ajst-5639	9	13	:	:	PUNCT
ajst-5639	9	14	model	model	NOUN
ajst-5639	9	15	-	-	PUNCT
ajst-5639	9	16	based	base	VERB
ajst-5639	9	17	method	method	NOUN
ajst-5639	9	18	,	,	PUNCT
ajst-5639	9	19	signal	signal	VERB
ajst-5639	9	20	processing	processing	NOUN
ajst-5639	9	21	-	-	PUNCT
ajst-5639	9	22	based	base	VERB
ajst-5639	9	23	method	method	NOUN
ajst-5639	9	24	and	and	CCONJ
ajst-5639	9	25	deep	deep	ADJ
ajst-5639	9	26	learning	learning	NOUN
ajst-5639	9	27	-	-	PUNCT
ajst-5639	9	28	based	base	VERB
ajst-5639	9	29	method	method	NOUN
ajst-5639	9	30	.	.	PUNCT
ajst-5639	10	1	in	in	ADP
ajst-5639	10	2	practice	practice	NOUN
ajst-5639	10	3	,	,	PUNCT
ajst-5639	10	4	it	it	PRON
ajst-5639	10	5	is	be	AUX
ajst-5639	10	6	difficult	difficult	ADJ
ajst-5639	10	7	to	to	PART
ajst-5639	10	8	establish	establish	VERB
ajst-5639	10	9	an	an	DET
ajst-5639	10	10	accurate	accurate	ADJ
ajst-5639	10	11	model	model	NOUN
ajst-5639	10	12	due	due	ADP
ajst-5639	10	13	to	to	ADP
ajst-5639	10	14	noise	noise	NOUN
ajst-5639	10	15	disturbance	disturbance	NOUN
ajst-5639	10	16	,	,	PUNCT
ajst-5639	10	17	modeling	model	VERB
ajst-5639	10	18	error	error	NOUN
ajst-5639	10	19	and	and	CCONJ
ajst-5639	10	20	other	other	ADJ
ajst-5639	10	21	reasons	reason	NOUN
ajst-5639	10	22	,	,	PUNCT
ajst-5639	10	23	which	which	PRON
ajst-5639	10	24	makes	make	VERB
ajst-5639	10	25	the	the	DET
ajst-5639	10	26	effect	effect	NOUN
ajst-5639	10	27	of	of	ADP
ajst-5639	10	28	fault	fault	NOUN
ajst-5639	10	29	diagnosis	diagnosis	NOUN
ajst-5639	10	30	poor	poor	ADJ
ajst-5639	10	31	.	.	PUNCT
ajst-5639	11	1	relatively	relatively	ADV
ajst-5639	11	2	speaking	speak	VERB
ajst-5639	11	3	,	,	PUNCT
ajst-5639	11	4	the	the	DET
ajst-5639	11	5	latter	latter	ADJ
ajst-5639	11	6	two	two	NUM
ajst-5639	11	7	methods	method	NOUN
ajst-5639	11	8	are	be	AUX
ajst-5639	11	9	more	more	ADV
ajst-5639	11	10	popular	popular	ADJ
ajst-5639	11	11	with	with	ADP
ajst-5639	11	12	researchers	researcher	NOUN
ajst-5639	11	13	at	at	ADP
ajst-5639	11	14	home	home	NOUN
ajst-5639	11	15	and	and	CCONJ
ajst-5639	11	16	abroad	abroad	ADV
ajst-5639	11	17	.	.	PUNCT
ajst-5639	12	1	in	in	ADP
ajst-5639	12	2	reference	reference	NOUN
ajst-5639	12	3	[	[	X
ajst-5639	12	4	2	2	NUM
ajst-5639	12	5	]	]	PUNCT
ajst-5639	12	6	,	,	PUNCT
ajst-5639	12	7	the	the	DET
ajst-5639	12	8	bearing	bear	VERB
ajst-5639	12	9	vibration	vibration	NOUN
ajst-5639	12	10	acceleration	acceleration	NOUN
ajst-5639	12	11	signal	signal	NOUN
ajst-5639	12	12	is	be	AUX
ajst-5639	12	13	converted	convert	VERB
ajst-5639	12	14	into	into	ADP
ajst-5639	12	15	frequency	frequency	NOUN
ajst-5639	12	16	domain	domain	NOUN
ajst-5639	12	17	signal	signal	NOUN
ajst-5639	12	18	by	by	ADP
ajst-5639	12	19	using	use	VERB
ajst-5639	12	20	fast	fast	ADJ
ajst-5639	12	21	fourier	fourier	NOUN
ajst-5639	12	22	transform	transform	NOUN
ajst-5639	12	23	,	,	PUNCT
ajst-5639	12	24	and	and	CCONJ
ajst-5639	12	25	the	the	DET
ajst-5639	12	26	signal	signal	ADJ
ajst-5639	12	27	characteristics	characteristic	NOUN
ajst-5639	12	28	are	be	AUX
ajst-5639	12	29	extracted	extract	VERB
ajst-5639	12	30	by	by	ADP
ajst-5639	12	31	1d	1d	NUM
ajst-5639	12	32	-	-	PUNCT
ajst-5639	12	33	cnn	cnn	PROPN
ajst-5639	12	34	to	to	PART
ajst-5639	12	35	diagnose	diagnose	VERB
ajst-5639	12	36	the	the	DET
ajst-5639	12	37	fault	fault	NOUN
ajst-5639	12	38	.	.	PUNCT
ajst-5639	13	1	reference	reference	NOUN
ajst-5639	14	1	[	[	X
ajst-5639	14	2	3	3	NUM
ajst-5639	14	3	]	]	PUNCT
ajst-5639	14	4	proposed	propose	VERB
ajst-5639	14	5	an	an	DET
ajst-5639	14	6	improved	improved	ADJ
ajst-5639	14	7	coarse	coarse	NOUN
ajst-5639	14	8	-	-	PUNCT
ajst-5639	14	9	grained	grain	VERB
ajst-5639	14	10	multi	multi	ADJ
ajst-5639	14	11	-	-	ADJ
ajst-5639	14	12	scale	scale	ADJ
ajst-5639	14	13	scattered	scatter	VERB
ajst-5639	14	14	entropy	entropy	NOUN
ajst-5639	14	15	,	,	PUNCT
ajst-5639	14	16	and	and	CCONJ
ajst-5639	14	17	then	then	ADV
ajst-5639	14	18	used	use	VERB
ajst-5639	14	19	variational	variational	ADJ
ajst-5639	14	20	modal	modal	ADJ
ajst-5639	14	21	decomposition	decomposition	NOUN
ajst-5639	14	22	to	to	PART
ajst-5639	14	23	decompose	decompose	VERB
ajst-5639	14	24	the	the	DET
ajst-5639	14	25	vibration	vibration	NOUN
ajst-5639	14	26	data	datum	NOUN
ajst-5639	14	27	and	and	CCONJ
ajst-5639	14	28	selected	select	VERB
ajst-5639	14	29	the	the	DET
ajst-5639	14	30	best	good	ADJ
ajst-5639	14	31	imf	imf	PROPN
ajst-5639	14	32	component	component	NOUN
ajst-5639	14	33	according	accord	VERB
ajst-5639	14	34	to	to	ADP
ajst-5639	14	35	the	the	DET
ajst-5639	14	36	cross	cross	ADJ
ajst-5639	14	37	-	-	ADJ
ajst-5639	14	38	correlation	correlation	ADJ
ajst-5639	14	39	coefficient	coefficient	NOUN
ajst-5639	14	40	,	,	PUNCT
ajst-5639	14	41	and	and	CCONJ
ajst-5639	14	42	then	then	ADV
ajst-5639	14	43	used	use	VERB
ajst-5639	14	44	the	the	DET
ajst-5639	14	45	improved	improved	ADJ
ajst-5639	14	46	method	method	NOUN
ajst-5639	14	47	to	to	PART
ajst-5639	14	48	extract	extract	VERB
ajst-5639	14	49	the	the	DET
ajst-5639	14	50	nonlinear	nonlinear	ADJ
ajst-5639	14	51	characteristics	characteristic	NOUN
ajst-5639	14	52	of	of	ADP
ajst-5639	14	53	imf	imf	PROPN
ajst-5639	14	54	component	component	NOUN
ajst-5639	14	55	and	and	CCONJ
ajst-5639	14	56	used	use	VERB
ajst-5639	14	57	pnn	pnn	PROPN
ajst-5639	14	58	for	for	ADP
ajst-5639	14	59	fault	fault	NOUN
ajst-5639	14	60	diagnosis	diagnosis	NOUN
ajst-5639	14	61	.	.	PUNCT
ajst-5639	15	1	reference	reference	NOUN
ajst-5639	15	2	[	[	X
ajst-5639	15	3	4	4	NUM
ajst-5639	15	4	]	]	PUNCT
ajst-5639	15	5	uses	use	VERB
ajst-5639	15	6	pso	pso	NOUN
ajst-5639	15	7	to	to	PART
ajst-5639	15	8	determine	determine	VERB
ajst-5639	15	9	the	the	DET
ajst-5639	15	10	optimal	optimal	ADJ
ajst-5639	15	11	parameters	parameter	NOUN
ajst-5639	15	12	of	of	ADP
ajst-5639	15	13	morlet	morlet	PROPN
ajst-5639	15	14	wavelet	wavelet	NOUN
ajst-5639	15	15	,	,	PUNCT
ajst-5639	15	16	and	and	CCONJ
ajst-5639	15	17	uses	use	VERB
ajst-5639	15	18	the	the	DET
ajst-5639	15	19	improved	improve	VERB
ajst-5639	15	20	kurtosis	kurtosis	NOUN
ajst-5639	15	21	index	index	NOUN
ajst-5639	15	22	based	base	VERB
ajst-5639	15	23	on	on	ADP
ajst-5639	15	24	iterative	iterative	NOUN
ajst-5639	15	25	two	two	NUM
ajst-5639	15	26	-	-	PUNCT
ajst-5639	15	27	means	mean	NOUN
ajst-5639	15	28	combined	combine	VERB
ajst-5639	15	29	with	with	ADP
ajst-5639	15	30	envelope	envelope	NOUN
ajst-5639	15	31	demodulation	demodulation	NOUN
ajst-5639	15	32	to	to	PART
ajst-5639	15	33	classify	classify	VERB
ajst-5639	15	34	rolling	rolling	ADJ
ajst-5639	15	35	bearing	bearing	NOUN
ajst-5639	15	36	faults	fault	NOUN
ajst-5639	15	37	.	.	PUNCT
ajst-5639	16	1	reference	reference	NOUN
ajst-5639	16	2	[	[	X
ajst-5639	16	3	5	5	NUM
ajst-5639	16	4	]	]	PUNCT
ajst-5639	16	5	uses	use	VERB
ajst-5639	16	6	principal	principal	ADJ
ajst-5639	16	7	component	component	NOUN
ajst-5639	16	8	analysis	analysis	NOUN
ajst-5639	16	9	to	to	PART
ajst-5639	16	10	reduce	reduce	VERB
ajst-5639	16	11	the	the	DET
ajst-5639	16	12	dimension	dimension	NOUN
ajst-5639	16	13	of	of	ADP
ajst-5639	16	14	the	the	DET
ajst-5639	16	15	original	original	ADJ
ajst-5639	16	16	vibration	vibration	NOUN
ajst-5639	16	17	data	datum	NOUN
ajst-5639	16	18	and	and	CCONJ
ajst-5639	16	19	extract	extract	VERB
ajst-5639	16	20	the	the	DET
ajst-5639	16	21	corresponding	correspond	VERB
ajst-5639	16	22	features	feature	NOUN
ajst-5639	16	23	,	,	PUNCT
ajst-5639	16	24	and	and	CCONJ
ajst-5639	16	25	finally	finally	ADV
ajst-5639	16	26	uses	use	VERB
ajst-5639	16	27	the	the	DET
ajst-5639	16	28	deep	deep	ADJ
ajst-5639	16	29	belief	belief	NOUN
ajst-5639	16	30	network	network	NOUN
ajst-5639	16	31	to	to	PART
ajst-5639	16	32	realize	realize	VERB
ajst-5639	16	33	fault	fault	NOUN
ajst-5639	16	34	diagnosis	diagnosis	NOUN
ajst-5639	16	35	.	.	PUNCT
ajst-5639	17	1	reference	reference	NOUN
ajst-5639	17	2	[	[	X
ajst-5639	17	3	6	6	NUM
ajst-5639	17	4	]	]	PUNCT
ajst-5639	17	5	introduces	introduce	VERB
ajst-5639	17	6	a	a	DET
ajst-5639	17	7	multi	multi	ADJ
ajst-5639	17	8	-	-	ADJ
ajst-5639	17	9	attention	attention	ADJ
ajst-5639	17	10	module	module	NOUN
ajst-5639	17	11	based	base	VERB
ajst-5639	17	12	on	on	ADP
ajst-5639	17	13	the	the	DET
ajst-5639	17	14	one	one	NUM
ajst-5639	17	15	-	-	PUNCT
ajst-5639	17	16	dimensional	dimensional	ADJ
ajst-5639	17	17	convolutional	convolutional	ADJ
ajst-5639	17	18	neural	neural	ADJ
ajst-5639	17	19	network	network	NOUN
ajst-5639	17	20	to	to	PART
ajst-5639	17	21	improve	improve	VERB
ajst-5639	17	22	the	the	DET
ajst-5639	17	23	diagnosis	diagnosis	NOUN
ajst-5639	17	24	accuracy	accuracy	NOUN
ajst-5639	17	25	by	by	ADP
ajst-5639	17	26	enhancing	enhance	VERB
ajst-5639	17	27	the	the	DET
ajst-5639	17	28	fault	fault	NOUN
ajst-5639	17	29	-	-	PUNCT
ajst-5639	17	30	related	relate	VERB
ajst-5639	17	31	features	feature	NOUN
ajst-5639	17	32	.	.	PUNCT
ajst-5639	18	1	in	in	ADP
ajst-5639	18	2	the	the	DET
ajst-5639	18	3	process	process	NOUN
ajst-5639	18	4	of	of	ADP
ajst-5639	18	5	bearing	bear	VERB
ajst-5639	18	6	vibration	vibration	NOUN
ajst-5639	18	7	data	datum	NOUN
ajst-5639	18	8	acquisition	acquisition	NOUN
ajst-5639	18	9	,	,	PUNCT
ajst-5639	18	10	it	it	PRON
ajst-5639	18	11	is	be	AUX
ajst-5639	18	12	inevitable	inevitable	ADJ
ajst-5639	18	13	to	to	PART
ajst-5639	18	14	be	be	AUX
ajst-5639	18	15	polluted	pollute	VERB
ajst-5639	18	16	by	by	ADP
ajst-5639	18	17	noise	noise	NOUN
ajst-5639	18	18	,	,	PUNCT
ajst-5639	18	19	which	which	PRON
ajst-5639	18	20	will	will	AUX
ajst-5639	18	21	cover	cover	VERB
ajst-5639	18	22	up	up	ADP
ajst-5639	18	23	the	the	DET
ajst-5639	18	24	original	original	ADJ
ajst-5639	18	25	signal	signal	NOUN
ajst-5639	18	26	data	datum	NOUN
ajst-5639	18	27	and	and	CCONJ
ajst-5639	18	28	have	have	VERB
ajst-5639	18	29	a	a	DET
ajst-5639	18	30	certain	certain	ADJ
ajst-5639	18	31	impact	impact	NOUN
ajst-5639	18	32	on	on	ADP
ajst-5639	18	33	the	the	DET
ajst-5639	18	34	subsequent	subsequent	ADJ
ajst-5639	18	35	feature	feature	NOUN
ajst-5639	18	36	extraction	extraction	NOUN
ajst-5639	18	37	and	and	CCONJ
ajst-5639	18	38	fault	fault	VERB
ajst-5639	18	39	diagnosis	diagnosis	NOUN
ajst-5639	18	40	.	.	PUNCT
ajst-5639	19	1	reference	reference	NOUN
ajst-5639	19	2	[	[	X
ajst-5639	19	3	7	7	X
ajst-5639	19	4	]	]	PUNCT
ajst-5639	19	5	proposes	propose	VERB
ajst-5639	19	6	a	a	DET
ajst-5639	19	7	ceemdan	ceemdan	ADJ
ajst-5639	19	8	and	and	CCONJ
ajst-5639	19	9	wavelet	wavelet	NOUN
ajst-5639	19	10	threshold	threshold	NOUN
ajst-5639	19	11	joint	joint	ADJ
ajst-5639	19	12	denoising	denoising	NOUN
ajst-5639	19	13	method	method	NOUN
ajst-5639	19	14	,	,	PUNCT
ajst-5639	19	15	which	which	PRON
ajst-5639	19	16	first	first	ADV
ajst-5639	19	17	decomposes	decompose	VERB
ajst-5639	19	18	the	the	DET
ajst-5639	19	19	vibration	vibration	NOUN
ajst-5639	19	20	signal	signal	NOUN
ajst-5639	19	21	into	into	ADP
ajst-5639	19	22	imf	imf	PROPN
ajst-5639	19	23	components	component	NOUN
ajst-5639	19	24	through	through	ADP
ajst-5639	19	25	ceemdan	ceemdan	PROPN
ajst-5639	19	26	,	,	PUNCT
ajst-5639	19	27	and	and	CCONJ
ajst-5639	19	28	uses	use	VERB
ajst-5639	19	29	the	the	DET
ajst-5639	19	30	continuous	continuous	ADJ
ajst-5639	19	31	mean	mean	ADJ
ajst-5639	19	32	square	square	ADJ
ajst-5639	19	33	error	error	NOUN
ajst-5639	19	34	to	to	PART
ajst-5639	19	35	select	select	VERB
ajst-5639	19	36	the	the	DET
ajst-5639	19	37	imf	imf	PROPN
ajst-5639	19	38	components	component	NOUN
ajst-5639	19	39	with	with	ADP
ajst-5639	19	40	more	more	ADJ
ajst-5639	19	41	noise	noise	NOUN
ajst-5639	19	42	,	,	PUNCT
ajst-5639	19	43	and	and	CCONJ
ajst-5639	19	44	then	then	ADV
ajst-5639	19	45	uses	use	VERB
ajst-5639	19	46	wavelet	wavelet	NOUN
ajst-5639	19	47	threshold	threshold	NOUN
ajst-5639	19	48	denoising	denoise	VERB
ajst-5639	19	49	to	to	PART
ajst-5639	19	50	denoise	denoise	VERB
ajst-5639	19	51	these	these	DET
ajst-5639	19	52	components	component	NOUN
ajst-5639	19	53	.	.	PUNCT
ajst-5639	20	1	finally	finally	ADV
ajst-5639	20	2	,	,	PUNCT
ajst-5639	20	3	the	the	DET
ajst-5639	20	4	denoised	denoise	VERB
ajst-5639	20	5	components	component	NOUN
ajst-5639	20	6	are	be	AUX
ajst-5639	20	7	reconstructed	reconstruct	VERB
ajst-5639	20	8	to	to	PART
ajst-5639	20	9	obtain	obtain	VERB
ajst-5639	20	10	the	the	DET
ajst-5639	20	11	denoised	denoise	VERB
ajst-5639	20	12	signal	signal	NOUN
ajst-5639	20	13	.	.	PUNCT
ajst-5639	21	1	in	in	ADP
ajst-5639	21	2	reference	reference	NOUN
ajst-5639	21	3	[	[	X
ajst-5639	21	4	8	8	NUM
ajst-5639	21	5	]	]	PUNCT
ajst-5639	21	6	,	,	PUNCT
ajst-5639	21	7	the	the	DET
ajst-5639	21	8	vibration	vibration	NOUN
ajst-5639	21	9	signal	signal	NOUN
ajst-5639	21	10	is	be	AUX
ajst-5639	21	11	decomposed	decompose	VERB
ajst-5639	21	12	into	into	ADP
ajst-5639	21	13	imf	imf	PROPN
ajst-5639	21	14	components	component	NOUN
ajst-5639	21	15	by	by	ADP
ajst-5639	21	16	using	use	VERB
ajst-5639	21	17	integrated	integrate	VERB
ajst-5639	21	18	empirical	empirical	ADJ
ajst-5639	21	19	mode	mode	NOUN
ajst-5639	21	20	decomposition	decomposition	NOUN
ajst-5639	21	21	,	,	PUNCT
ajst-5639	21	22	and	and	CCONJ
ajst-5639	21	23	then	then	ADV
ajst-5639	21	24	the	the	DET
ajst-5639	21	25	noise	noise	NOUN
ajst-5639	21	26	level	level	NOUN
ajst-5639	21	27	of	of	ADP
ajst-5639	21	28	imf	imf	PROPN
ajst-5639	21	29	components	component	NOUN
ajst-5639	21	30	is	be	AUX
ajst-5639	21	31	analyzed	analyze	VERB
ajst-5639	21	32	by	by	ADP
ajst-5639	21	33	using	use	VERB
ajst-5639	21	34	grey	grey	PROPN
ajst-5639	21	35	relation	relation	NOUN
ajst-5639	21	36	,	,	PUNCT
ajst-5639	21	37	and	and	CCONJ
ajst-5639	21	38	the	the	DET
ajst-5639	21	39	components	component	NOUN
ajst-5639	21	40	with	with	ADP
ajst-5639	21	41	larger	large	ADJ
ajst-5639	21	42	noise	noise	NOUN
ajst-5639	21	43	are	be	AUX
ajst-5639	21	44	selected	select	VERB
ajst-5639	21	45	by	by	ADP
ajst-5639	21	46	using	use	VERB
ajst-5639	21	47	grey	grey	PROPN
ajst-5639	21	48	model	model	NOUN
ajst-5639	21	49	to	to	PART
ajst-5639	21	50	eliminate	eliminate	VERB
ajst-5639	21	51	the	the	DET
ajst-5639	21	52	noise	noise	NOUN
ajst-5639	21	53	,	,	PUNCT
ajst-5639	21	54	and	and	CCONJ
ajst-5639	21	55	finally	finally	ADV
ajst-5639	21	56	the	the	DET
ajst-5639	21	57	components	component	NOUN
ajst-5639	21	58	are	be	AUX
ajst-5639	21	59	reconstructed	reconstruct	VERB
ajst-5639	21	60	.	.	PUNCT
ajst-5639	22	1	in	in	ADP
ajst-5639	22	2	this	this	DET
ajst-5639	22	3	paper	paper	NOUN
ajst-5639	22	4	,	,	PUNCT
ajst-5639	22	5	we	we	PRON
ajst-5639	22	6	propose	propose	VERB
ajst-5639	22	7	a	a	DET
ajst-5639	22	8	deep	deep	ADJ
ajst-5639	22	9	learning	learning	NOUN
ajst-5639	22	10	model	model	NOUN
ajst-5639	22	11	based	base	VERB
ajst-5639	22	12	on	on	ADP
ajst-5639	22	13	vmd	vmd	PROPN
ajst-5639	22	14	denoising	denoising	PROPN
ajst-5639	22	15	(	(	PUNCT
ajst-5639	22	16	vmd	vmd	PROPN
ajst-5639	22	17	-	-	PUNCT
ajst-5639	22	18	sg	sg	NOUN
ajst-5639	22	19	-	-	PUNCT
ajst-5639	22	20	resnet	resnet	NOUN
ajst-5639	22	21	)	)	PUNCT
ajst-5639	22	22	.	.	PUNCT
ajst-5639	23	1	firstly	firstly	ADV
ajst-5639	23	2	,	,	PUNCT
ajst-5639	23	3	the	the	DET
ajst-5639	23	4	bearing	bear	VERB
ajst-5639	23	5	fault	fault	NOUN
ajst-5639	23	6	data	datum	NOUN
ajst-5639	23	7	is	be	AUX
ajst-5639	23	8	decomposed	decompose	VERB
ajst-5639	23	9	into	into	ADP
ajst-5639	23	10	several	several	ADJ
ajst-5639	23	11	imf	imf	PROPN
ajst-5639	23	12	components	component	NOUN
ajst-5639	23	13	by	by	ADP
ajst-5639	23	14	variational	variational	ADJ
ajst-5639	23	15	mode	mode	NOUN
ajst-5639	23	16	decomposition	decomposition	NOUN
ajst-5639	23	17	(	(	PUNCT
ajst-5639	23	18	variational	variational	ADJ
ajst-5639	23	19	mode	mode	NOUN
ajst-5639	23	20	decomposition	decomposition	NOUN
ajst-5639	23	21	,	,	PUNCT
ajst-5639	23	22	vmd	vmd	PROPN
ajst-5639	23	23	)	)	PUNCT
ajst-5639	23	24	,	,	PUNCT
ajst-5639	23	25	and	and	CCONJ
ajst-5639	23	26	the	the	DET
ajst-5639	23	27	correlation	correlation	NOUN
ajst-5639	23	28	coefficients	coefficient	VERB
ajst-5639	23	29	between	between	ADP
ajst-5639	23	30	each	each	DET
ajst-5639	23	31	imf	imf	PROPN
ajst-5639	23	32	component	component	NOUN
ajst-5639	23	33	and	and	CCONJ
ajst-5639	23	34	the	the	DET
ajst-5639	23	35	original	original	ADJ
ajst-5639	23	36	signal	signal	NOUN
ajst-5639	23	37	data	datum	NOUN
ajst-5639	23	38	are	be	AUX
ajst-5639	23	39	calculated	calculate	VERB
ajst-5639	23	40	,	,	PUNCT
ajst-5639	23	41	and	and	CCONJ
ajst-5639	23	42	the	the	DET
ajst-5639	23	43	high	high	ADJ
ajst-5639	23	44	noise	noise	NOUN
ajst-5639	23	45	imf	imf	PROPN
ajst-5639	23	46	components	component	NOUN
ajst-5639	23	47	with	with	ADP
ajst-5639	23	48	smaller	small	ADJ
ajst-5639	23	49	correlation	correlation	NOUN
ajst-5639	23	50	coefficients	coefficient	NOUN
ajst-5639	23	51	are	be	AUX
ajst-5639	23	52	selected	select	VERB
ajst-5639	23	53	.	.	PUNCT
ajst-5639	24	1	a	a	DET
ajst-5639	24	2	savitzky	savitzky	NOUN
ajst-5639	24	3	-	-	PUNCT
ajst-5639	24	4	golay	golay	NOUN
ajst-5639	24	5	filter	filter	NOUN
ajst-5639	24	6	is	be	AUX
ajst-5639	24	7	used	use	VERB
ajst-5639	24	8	for	for	ADP
ajst-5639	24	9	carrying	carry	VERB
ajst-5639	24	10	out	out	ADP
ajst-5639	24	11	smooth	smooth	ADJ
ajst-5639	24	12	filtering	filtering	NOUN
ajst-5639	24	13	and	and	CCONJ
ajst-5639	24	14	noise	noise	NOUN
ajst-5639	24	15	reduction	reduction	NOUN
ajst-5639	24	16	on	on	ADP
ajst-5639	24	17	the	the	DET
ajst-5639	24	18	signal	signal	NOUN
ajst-5639	24	19	,	,	PUNCT
ajst-5639	24	20	and	and	CCONJ
ajst-5639	24	21	then	then	ADV
ajst-5639	24	22	the	the	DET
ajst-5639	24	23	component	component	NOUN
ajst-5639	24	24	subjected	subject	VERB
ajst-5639	24	25	to	to	ADP
ajst-5639	24	26	noise	noise	NOUN
ajst-5639	24	27	reduction	reduction	NOUN
ajst-5639	24	28	and	and	CCONJ
ajst-5639	24	29	other	other	ADJ
ajst-5639	24	30	components	component	NOUN
ajst-5639	24	31	are	be	AUX
ajst-5639	24	32	reconstructed	reconstruct	VERB
ajst-5639	24	33	together	together	ADV
ajst-5639	24	34	to	to	PART
ajst-5639	24	35	obtain	obtain	VERB
ajst-5639	24	36	the	the	DET
ajst-5639	24	37	final	final	ADJ
ajst-5639	24	38	signal	signal	NOUN
ajst-5639	24	39	data	datum	NOUN
ajst-5639	24	40	subjected	subject	VERB
ajst-5639	24	41	to	to	ADP
ajst-5639	24	42	noise	noise	NOUN
ajst-5639	24	43	removal	removal	NOUN
ajst-5639	24	44	;	;	PUNCT
ajst-5639	24	45	this	this	DET
ajst-5639	24	46	paper	paper	NOUN
ajst-5639	24	47	will	will	AUX
ajst-5639	24	48	also	also	ADV
ajst-5639	24	49	build	build	VERB
ajst-5639	24	50	the	the	DET
ajst-5639	24	51	resnet	resnet	NOUN
ajst-5639	24	52	model	model	NOUN
ajst-5639	24	53	.	.	PUNCT
ajst-5639	25	1	after	after	SCONJ
ajst-5639	25	2	the	the	DET
ajst-5639	25	3	denoised	denoise	VERB
ajst-5639	25	4	data	datum	NOUN
ajst-5639	25	5	is	be	AUX
ajst-5639	25	6	converted	convert	VERB
ajst-5639	25	7	into	into	ADP
ajst-5639	25	8	a	a	DET
ajst-5639	25	9	two	two	NUM
ajst-5639	25	10	-	-	PUNCT
ajst-5639	25	11	dimensional	dimensional	ADJ
ajst-5639	25	12	gray	gray	ADJ
ajst-5639	25	13	map	map	NOUN
ajst-5639	25	14	,	,	PUNCT
ajst-5639	25	15	it	it	PRON
ajst-5639	25	16	will	will	AUX
ajst-5639	25	17	be	be	AUX
ajst-5639	25	18	input	input	VERB
ajst-5639	25	19	into	into	ADP
ajst-5639	25	20	the	the	DET
ajst-5639	25	21	model	model	NOUN
ajst-5639	25	22	to	to	PART
ajst-5639	25	23	improve	improve	VERB
ajst-5639	25	24	the	the	DET
ajst-5639	25	25	diagnostic	diagnostic	ADJ
ajst-5639	25	26	accuracy	accuracy	NOUN
ajst-5639	25	27	by	by	ADP
ajst-5639	25	28	extracting	extract	VERB
ajst-5639	25	29	deep	deep	ADJ
ajst-5639	25	30	-	-	PUNCT
ajst-5639	25	31	seated	seat	VERB
ajst-5639	25	32	features	feature	NOUN
ajst-5639	25	33	.	.	PUNCT
ajst-5639	26	1	the	the	DET
ajst-5639	26	2	effectiveness	effectiveness	NOUN
ajst-5639	26	3	of	of	ADP
ajst-5639	26	4	the	the	DET
ajst-5639	26	5	proposed	propose	VERB
ajst-5639	26	6	method	method	NOUN
ajst-5639	26	7	is	be	AUX
ajst-5639	26	8	verified	verify	VERB
ajst-5639	26	9	by	by	ADP
ajst-5639	26	10	the	the	DET
ajst-5639	26	11	fault	fault	NOUN
ajst-5639	26	12	diagnosis	diagnosis	NOUN
ajst-5639	26	13	of	of	ADP
ajst-5639	26	14	different	different	ADJ
ajst-5639	26	15	parts	part	NOUN
ajst-5639	26	16	of	of	ADP
ajst-5639	26	17	the	the	DET
ajst-5639	26	18	rolling	rolling	ADJ
ajst-5639	26	19	bearing	bearing	NOUN
ajst-5639	26	20	damage	damage	NOUN
ajst-5639	26	21	in	in	ADP
ajst-5639	26	22	west	west	PROPN
ajst-5639	26	23	reserve	reserve	PROPN
ajst-5639	26	24	university	university	PROPN
ajst-5639	26	25	.	.	PUNCT
ajst-5639	27	1	2	2	X
ajst-5639	27	2	.	.	X
ajst-5639	27	3	analysis	analysis	NOUN
ajst-5639	27	4	of	of	ADP
ajst-5639	27	5	diagnostic	diagnostic	ADJ
ajst-5639	27	6	methods	method	NOUN
ajst-5639	27	7	2.1	2.1	NUM
ajst-5639	27	8	.	.	PUNCT
ajst-5639	28	1	principle	principle	NOUN
ajst-5639	28	2	of	of	ADP
ajst-5639	28	3	vmd	vmd	PROPN
ajst-5639	28	4	decomposition	decomposition	NOUN
ajst-5639	28	5	variational	variational	ADJ
ajst-5639	28	6	modal	modal	ADJ
ajst-5639	28	7	decomposition	decomposition	NOUN
ajst-5639	28	8	is	be	AUX
ajst-5639	28	9	a	a	DET
ajst-5639	28	10	new	new	ADJ
ajst-5639	28	11	modal	modal	ADJ
ajst-5639	28	12	decomposition	decomposition	NOUN
ajst-5639	28	13	algorithm	algorithm	NOUN
ajst-5639	28	14	proposed	propose	VERB
ajst-5639	28	15	by	by	ADP
ajst-5639	28	16	konstanin	konstanin	PROPN
ajst-5639	28	17	et	et	PROPN
ajst-5639	28	18	al	al	PROPN
ajst-5639	28	19	.	.	PROPN
ajst-5639	28	20	compared	compare	VERB
ajst-5639	28	21	with	with	ADP
ajst-5639	28	22	the	the	DET
ajst-5639	28	23	emd	emd	PROPN
ajst-5639	28	24	family	family	NOUN
ajst-5639	28	25	of	of	ADP
ajst-5639	28	26	decomposition	decomposition	NOUN
ajst-5639	28	27	algorithms	algorithm	NOUN
ajst-5639	28	28	,	,	PUNCT
ajst-5639	28	29	234	234	NUM
ajst-5639	28	30	such	such	ADJ
ajst-5639	28	31	as	as	ADP
ajst-5639	28	32	emd	emd	PROPN
ajst-5639	28	33	,	,	PUNCT
ajst-5639	28	34	eemd	eemd	PROPN
ajst-5639	28	35	,	,	PUNCT
ajst-5639	28	36	ceemdan	ceemdan	PROPN
ajst-5639	28	37	,	,	PUNCT
ajst-5639	28	38	iceemdan	iceemdan	NOUN
ajst-5639	28	39	and	and	CCONJ
ajst-5639	28	40	so	so	ADV
ajst-5639	28	41	on	on	ADV
ajst-5639	28	42	,	,	PUNCT
ajst-5639	28	43	vmd	vmd	PROPN
ajst-5639	28	44	does	do	AUX
ajst-5639	28	45	not	not	PART
ajst-5639	28	46	need	need	VERB
ajst-5639	28	47	to	to	PART
ajst-5639	28	48	add	add	VERB
ajst-5639	28	49	gaussian	gaussian	ADJ
ajst-5639	28	50	noise	noise	NOUN
ajst-5639	28	51	before	before	ADP
ajst-5639	28	52	decomposition	decomposition	NOUN
ajst-5639	28	53	.	.	PUNCT
ajst-5639	29	1	although	although	SCONJ
ajst-5639	29	2	ceemdan	ceemdan	PROPN
ajst-5639	29	3	and	and	CCONJ
ajst-5639	29	4	other	other	ADJ
ajst-5639	29	5	algorithms	algorithm	NOUN
ajst-5639	29	6	add	add	VERB
ajst-5639	29	7	white	white	ADJ
ajst-5639	29	8	noise	noise	NOUN
ajst-5639	29	9	of	of	ADP
ajst-5639	29	10	positive	positive	ADJ
ajst-5639	29	11	and	and	CCONJ
ajst-5639	29	12	negative	negative	ADJ
ajst-5639	29	13	sequences	sequence	NOUN
ajst-5639	29	14	to	to	PART
ajst-5639	29	15	offset	offset	VERB
ajst-5639	29	16	each	each	DET
ajst-5639	29	17	other	other	ADJ
ajst-5639	29	18	in	in	ADP
ajst-5639	29	19	the	the	DET
ajst-5639	29	20	decomposition	decomposition	NOUN
ajst-5639	29	21	process	process	NOUN
ajst-5639	29	22	,	,	PUNCT
ajst-5639	29	23	there	there	PRON
ajst-5639	29	24	is	be	VERB
ajst-5639	29	25	still	still	ADV
ajst-5639	29	26	a	a	DET
ajst-5639	29	27	certain	certain	ADJ
ajst-5639	29	28	reconstruction	reconstruction	NOUN
ajst-5639	29	29	error	error	NOUN
ajst-5639	29	30	.	.	PUNCT
ajst-5639	30	1	the	the	DET
ajst-5639	30	2	variational	variational	ADJ
ajst-5639	30	3	mode	mode	NOUN
ajst-5639	30	4	decomposition	decomposition	NOUN
ajst-5639	30	5	is	be	AUX
ajst-5639	30	6	a	a	DET
ajst-5639	30	7	signal	signal	ADJ
ajst-5639	30	8	decomposition	decomposition	NOUN
ajst-5639	30	9	and	and	CCONJ
ajst-5639	30	10	estimation	estimation	NOUN
ajst-5639	30	11	method[8	method[8	PROPN
ajst-5639	30	12	]	]	PUNCT
ajst-5639	30	13	,	,	PUNCT
ajst-5639	30	14	,	,	PUNCT
ajst-5639	30	15	which	which	PRON
ajst-5639	30	16	determines	determine	VERB
ajst-5639	30	17	the	the	DET
ajst-5639	30	18	frequency	frequency	NOUN
ajst-5639	30	19	center	center	NOUN
ajst-5639	30	20	and	and	CCONJ
ajst-5639	30	21	bandwidth	bandwidth	NOUN
ajst-5639	30	22	of	of	ADP
ajst-5639	30	23	each	each	DET
ajst-5639	30	24	component	component	NOUN
ajst-5639	30	25	by	by	ADP
ajst-5639	30	26	iteratively	iteratively	ADV
ajst-5639	30	27	searching	search	VERB
ajst-5639	30	28	for	for	ADP
ajst-5639	30	29	the	the	DET
ajst-5639	30	30	optimal	optimal	ADJ
ajst-5639	30	31	solution	solution	NOUN
ajst-5639	30	32	of	of	ADP
ajst-5639	30	33	the	the	DET
ajst-5639	30	34	variational	variational	ADJ
ajst-5639	30	35	model	model	NOUN
ajst-5639	30	36	in	in	ADP
ajst-5639	30	37	the	the	DET
ajst-5639	30	38	process	process	NOUN
ajst-5639	30	39	of	of	ADP
ajst-5639	30	40	obtaining	obtain	VERB
ajst-5639	30	41	the	the	DET
ajst-5639	30	42	decomposed	decompose	VERB
ajst-5639	30	43	components	component	NOUN
ajst-5639	30	44	,	,	PUNCT
ajst-5639	30	45	so	so	SCONJ
ajst-5639	30	46	as	as	SCONJ
ajst-5639	30	47	to	to	PART
ajst-5639	30	48	adaptively	adaptively	ADV
ajst-5639	30	49	realize	realize	VERB
ajst-5639	30	50	the	the	DET
ajst-5639	30	51	frequency	frequency	NOUN
ajst-5639	30	52	domain	domain	NOUN
ajst-5639	30	53	subdivision	subdivision	NOUN
ajst-5639	30	54	of	of	ADP
ajst-5639	30	55	the	the	DET
ajst-5639	30	56	signal	signal	NOUN
ajst-5639	30	57	and	and	CCONJ
ajst-5639	30	58	the	the	DET
ajst-5639	30	59	effective	effective	ADJ
ajst-5639	30	60	separation	separation	NOUN
ajst-5639	30	61	of	of	ADP
ajst-5639	30	62	each	each	DET
ajst-5639	30	63	component[9	component[9	PROPN
ajst-5639	30	64	]	]	PUNCT
ajst-5639	30	65	.	.	PUNCT
ajst-5639	31	1	variational	variational	ADJ
ajst-5639	31	2	mode	mode	NOUN
ajst-5639	31	3	decomposition	decomposition	NOUN
ajst-5639	31	4	is	be	AUX
ajst-5639	31	5	an	an	DET
ajst-5639	31	6	adaptive	adaptive	ADJ
ajst-5639	31	7	decomposition	decomposition	NOUN
ajst-5639	31	8	method	method	NOUN
ajst-5639	31	9	,	,	PUNCT
ajst-5639	31	10	which	which	PRON
ajst-5639	31	11	can	can	AUX
ajst-5639	31	12	determine	determine	VERB
ajst-5639	31	13	the	the	DET
ajst-5639	31	14	number	number	NOUN
ajst-5639	31	15	of	of	ADP
ajst-5639	31	16	imf	imf	PROPN
ajst-5639	31	17	components	component	NOUN
ajst-5639	31	18	to	to	PART
ajst-5639	31	19	be	be	AUX
ajst-5639	31	20	decomposed	decompose	VERB
ajst-5639	31	21	according	accord	VERB
ajst-5639	31	22	to	to	ADP
ajst-5639	31	23	the	the	DET
ajst-5639	31	24	actual	actual	ADJ
ajst-5639	31	25	situation	situation	NOUN
ajst-5639	31	26	.	.	PUNCT
ajst-5639	32	1	the	the	DET
ajst-5639	32	2	goal	goal	NOUN
ajst-5639	32	3	of	of	ADP
ajst-5639	32	4	vmd	vmd	PROPN
ajst-5639	32	5	is	be	AUX
ajst-5639	32	6	to	to	PART
ajst-5639	32	7	decompose	decompose	VERB
ajst-5639	32	8	the	the	DET
ajst-5639	32	9	actual	actual	ADJ
ajst-5639	32	10	input	input	NOUN
ajst-5639	32	11	timing	timing	NOUN
ajst-5639	32	12	signal	signal	NOUN
ajst-5639	32	13	into	into	ADP
ajst-5639	32	14	k	k	PROPN
ajst-5639	32	15	discrete	discrete	ADJ
ajst-5639	32	16	sub	sub	NOUN
ajst-5639	32	17	-	-	NOUN
ajst-5639	32	18	signals	signal	NOUN
ajst-5639	32	19	,	,	PUNCT
ajst-5639	32	20	which	which	PRON
ajst-5639	32	21	have	have	VERB
ajst-5639	32	22	specific	specific	ADJ
ajst-5639	32	23	sparsity	sparsity	NOUN
ajst-5639	32	24	in	in	ADP
ajst-5639	32	25	reproducing	reproduce	VERB
ajst-5639	32	26	the	the	DET
ajst-5639	32	27	input	input	NOUN
ajst-5639	32	28	signal[10	signal[10	NOUN
ajst-5639	32	29	]	]	PUNCT
ajst-5639	32	30	.	.	PUNCT
ajst-5639	33	1	the	the	DET
ajst-5639	33	2	process	process	NOUN
ajst-5639	33	3	of	of	ADP
ajst-5639	33	4	vmd	vmd	PROPN
ajst-5639	33	5	decomposition	decomposition	NOUN
ajst-5639	33	6	is	be	AUX
ajst-5639	33	7	actually	actually	ADV
ajst-5639	33	8	the	the	DET
ajst-5639	33	9	process	process	NOUN
ajst-5639	33	10	of	of	ADP
ajst-5639	33	11	finding	find	VERB
ajst-5639	33	12	the	the	DET
ajst-5639	33	13	optimal	optimal	ADJ
ajst-5639	33	14	solution	solution	NOUN
ajst-5639	33	15	of	of	ADP
ajst-5639	33	16	the	the	DET
ajst-5639	33	17	variational	variational	ADJ
ajst-5639	33	18	problem	problem	NOUN
ajst-5639	33	19	,	,	PUNCT
ajst-5639	33	20	which	which	PRON
ajst-5639	33	21	can	can	AUX
ajst-5639	33	22	be	be	AUX
ajst-5639	33	23	realized	realize	VERB
ajst-5639	33	24	by	by	ADP
ajst-5639	33	25	solving	solve	VERB
ajst-5639	33	26	the	the	DET
ajst-5639	33	27	construction	construction	NOUN
ajst-5639	33	28	of	of	ADP
ajst-5639	33	29	the	the	DET
ajst-5639	33	30	corresponding	corresponding	ADJ
ajst-5639	33	31	variational	variational	ADJ
ajst-5639	33	32	problem	problem	NOUN
ajst-5639	33	33	.	.	PUNCT
ajst-5639	34	1	the	the	DET
ajst-5639	34	2	constrained	constrain	VERB
ajst-5639	34	3	variational	variational	ADJ
ajst-5639	34	4	problem	problem	NOUN
ajst-5639	34	5	corresponding	correspond	VERB
ajst-5639	34	6	to	to	ADP
ajst-5639	34	7	the	the	DET
ajst-5639	34	8	vmd	vmd	PROPN
ajst-5639	34	9	decomposition	decomposition	NOUN
ajst-5639	34	10	is	be	AUX
ajst-5639	34	11	as	as	SCONJ
ajst-5639	34	12	follows	follow	VERB
ajst-5639	34	13	:	:	PUNCT
ajst-5639	34	14	(	(	PUNCT
ajst-5639	34	15	1	1	X
ajst-5639	34	16	)	)	PUNCT
ajst-5639	34	17	among	among	ADP
ajst-5639	34	18	,	,	PUNCT
ajst-5639	34	19	is	be	AUX
ajst-5639	34	20	the	the	DET
ajst-5639	34	21	decomposed	decompose	VERB
ajst-5639	34	22	imf	imf	ADJ
ajst-5639	34	23	components	component	NOUN
ajst-5639	34	24	,	,	PUNCT
ajst-5639	34	25	represents	represent	VERB
ajst-5639	34	26	the	the	DET
ajst-5639	34	27	central	central	ADJ
ajst-5639	34	28	frequency	frequency	NOUN
ajst-5639	34	29	of	of	ADP
ajst-5639	34	30	each	each	DET
ajst-5639	34	31	imf	imf	PROPN
ajst-5639	34	32	component	component	NOUN
ajst-5639	34	33	.	.	PUNCT
ajst-5639	35	1	each	each	DET
ajst-5639	35	2	mode	mode	NOUN
ajst-5639	35	3	component	component	NOUN
ajst-5639	35	4	can	can	AUX
ajst-5639	35	5	be	be	AUX
ajst-5639	35	6	obtained	obtain	VERB
ajst-5639	35	7	by	by	ADP
ajst-5639	35	8	solving	solve	VERB
ajst-5639	35	9	the	the	DET
ajst-5639	35	10	above	above	ADJ
ajst-5639	35	11	formula	formula	NOUN
ajst-5639	35	12	..	..	PUNCT
ajst-5639	35	13	the	the	DET
ajst-5639	35	14	expression	expression	NOUN
ajst-5639	35	15	formula	formula	NOUN
ajst-5639	35	16	of	of	ADP
ajst-5639	35	17	is	be	AUX
ajst-5639	35	18	:	:	PUNCT
ajst-5639	35	19	(	(	PUNCT
ajst-5639	35	20	2	2	X
ajst-5639	35	21	)	)	PUNCT
ajst-5639	35	22	among	among	ADP
ajst-5639	35	23	,	,	PUNCT
ajst-5639	35	24	is	be	AUX
ajst-5639	35	25	a	a	DET
ajst-5639	35	26	quadratic	quadratic	ADJ
ajst-5639	35	27	penalty	penalty	NOUN
ajst-5639	35	28	parameter	parameter	NOUN
ajst-5639	35	29	,	,	PUNCT
ajst-5639	35	30	is	be	AUX
ajst-5639	35	31	the	the	DET
ajst-5639	35	32	lagrange	lagrange	ADJ
ajst-5639	35	33	multiplication	multiplication	NOUN
ajst-5639	35	34	operator	operator	NOUN
ajst-5639	35	35	.	.	PUNCT
ajst-5639	36	1	center	center	NOUN
ajst-5639	36	2	frequency	frequency	VERB
ajst-5639	36	3	the	the	DET
ajst-5639	36	4	expression	expression	NOUN
ajst-5639	36	5	formula	formula	NOUN
ajst-5639	36	6	of	of	ADP
ajst-5639	36	7	is	be	AUX
ajst-5639	36	8	:	:	PUNCT
ajst-5639	36	9	(	(	PUNCT
ajst-5639	36	10	3	3	X
ajst-5639	36	11	)	)	PUNCT
ajst-5639	36	12	the	the	DET
ajst-5639	36	13	specific	specific	ADJ
ajst-5639	36	14	steps	step	NOUN
ajst-5639	36	15	are	be	AUX
ajst-5639	36	16	as	as	SCONJ
ajst-5639	36	17	follows	follow	VERB
ajst-5639	36	18	:	:	PUNCT
ajst-5639	36	19	algorithm	algorithm	NOUN
ajst-5639	36	20	2	2	NUM
ajst-5639	36	21	:	:	PUNCT
ajst-5639	36	22	complete	complete	ADJ
ajst-5639	36	23	optimization	optimization	NOUN
ajst-5639	36	24	of	of	ADP
ajst-5639	36	25	vmd	vmd	PROPN
ajst-5639	36	26	initialize	initialize	NOUN
ajst-5639	36	27	,	,	PUNCT
ajst-5639	36	28	,	,	PUNCT
ajst-5639	36	29	,	,	PUNCT
ajst-5639	36	30	n0	n0	X
ajst-5639	36	31	repeat	repeat	PROPN
ajst-5639	36	32	nn+1	nn+1	PROPN
ajst-5639	36	33	for	for	ADP
ajst-5639	36	34	k=1	k=1	PROPN
ajst-5639	36	35	:	:	PUNCT
ajst-5639	36	36	k	k	NOUN
ajst-5639	36	37	do	do	AUX
ajst-5639	36	38	update	update	VERB
ajst-5639	36	39	for	for	ADP
ajst-5639	36	40	all	all	PRON
ajst-5639	36	41	:	:	PUNCT
ajst-5639	36	42	:	:	PUNCT
ajst-5639	36	43	end	end	VERB
ajst-5639	36	44	for	for	ADP
ajst-5639	36	45	dual	dual	ADJ
ajst-5639	36	46	ascent	ascent	NOUN
ajst-5639	36	47	for	for	ADP
ajst-5639	36	48	all	all	PRON
ajst-5639	36	49	:	:	PUNCT
ajst-5639	36	50	until	until	ADP
ajst-5639	36	51	convergence	convergence	NOUN
ajst-5639	36	52	:	:	PUNCT
ajst-5639	36	53	(	(	PUNCT
ajst-5639	36	54	7	7	X
ajst-5639	36	55	)	)	PUNCT
ajst-5639	36	56	in	in	ADP
ajst-5639	36	57	formula	formula	NOUN
ajst-5639	36	58	(	(	PUNCT
ajst-5639	36	59	7	7	NUM
ajst-5639	36	60	)	)	PUNCT
ajst-5639	36	61	,	,	PUNCT
ajst-5639	36	62	is	be	AUX
ajst-5639	36	63	the	the	DET
ajst-5639	36	64	accuracy	accuracy	NOUN
ajst-5639	36	65	of	of	ADP
ajst-5639	36	66	discrimination	discrimination	NOUN
ajst-5639	36	67	.	.	PUNCT
ajst-5639	37	1	2.2	2.2	NUM
ajst-5639	37	2	.	.	PUNCT
ajst-5639	37	3	smoothing	smooth	VERB
ajst-5639	37	4	noise	noise	NOUN
ajst-5639	37	5	reduction	reduction	NOUN
ajst-5639	37	6	by	by	ADP
ajst-5639	37	7	savitzkygolay	savitzkygolay	NOUN
ajst-5639	37	8	filter	filter	PROPN
ajst-5639	37	9	savitzky	savitzky	NOUN
ajst-5639	37	10	-	-	PUNCT
ajst-5639	37	11	golay	golay	NOUN
ajst-5639	37	12	filter	filter	NOUN
ajst-5639	37	13	was	be	AUX
ajst-5639	37	14	proposed	propose	VERB
ajst-5639	37	15	by	by	ADP
ajst-5639	37	16	savitzky	savitzky	NOUN
ajst-5639	37	17	and	and	CCONJ
ajst-5639	37	18	golay	golay	VERB
ajst-5639	37	19	many	many	ADJ
ajst-5639	37	20	years	year	NOUN
ajst-5639	37	21	ago	ago	ADV
ajst-5639	37	22	,	,	PUNCT
ajst-5639	37	23	and	and	CCONJ
ajst-5639	37	24	soon	soon	ADV
ajst-5639	37	25	after	after	SCONJ
ajst-5639	37	26	it	it	PRON
ajst-5639	37	27	was	be	AUX
ajst-5639	37	28	proposed	propose	VERB
ajst-5639	37	29	,	,	PUNCT
ajst-5639	37	30	it	it	PRON
ajst-5639	37	31	has	have	AUX
ajst-5639	37	32	been	be	AUX
ajst-5639	37	33	widely	widely	ADV
ajst-5639	37	34	used	use	VERB
ajst-5639	37	35	in	in	ADP
ajst-5639	37	36	data	data	NOUN
ajst-5639	37	37	stream	stream	NOUN
ajst-5639	37	38	smoothing	smoothing	NOUN
ajst-5639	37	39	and	and	CCONJ
ajst-5639	37	40	denoising	denoising	NOUN
ajst-5639	37	41	.	.	PUNCT
ajst-5639	38	1	this	this	DET
ajst-5639	38	2	method	method	NOUN
ajst-5639	38	3	can	can	AUX
ajst-5639	38	4	directly	directly	ADV
ajst-5639	38	5	deal	deal	VERB
ajst-5639	38	6	with	with	ADP
ajst-5639	38	7	the	the	DET
ajst-5639	38	8	problem	problem	NOUN
ajst-5639	38	9	of	of	ADP
ajst-5639	38	10	data	datum	NOUN
ajst-5639	38	11	smoothing	smooth	VERB
ajst-5639	38	12	in	in	ADP
ajst-5639	38	13	the	the	DET
ajst-5639	38	14	time	time	NOUN
ajst-5639	38	15	domain	domain	NOUN
ajst-5639	38	16	,	,	PUNCT
ajst-5639	38	17	and	and	CCONJ
ajst-5639	38	18	it	it	PRON
ajst-5639	38	19	uses	use	VERB
ajst-5639	38	20	the	the	DET
ajst-5639	38	21	least	least	ADJ
ajst-5639	38	22	square	square	ADJ
ajst-5639	38	23	method	method	NOUN
ajst-5639	38	24	to	to	PART
ajst-5639	38	25	fit	fit	VERB
ajst-5639	38	26	the	the	DET
ajst-5639	38	27	polynomial	polynomial	NOUN
ajst-5639	38	28	to	to	PART
ajst-5639	38	29	get	get	VERB
ajst-5639	38	30	the	the	DET
ajst-5639	38	31	denoised	denoise	VERB
ajst-5639	38	32	value	value	NOUN
ajst-5639	38	33	.	.	PUNCT
ajst-5639	39	1	2.3	2.3	NUM
ajst-5639	39	2	.	.	PUNCT
ajst-5639	39	3	resnet	resnet	NOUN
ajst-5639	39	4	model	model	NOUN
ajst-5639	39	5	in	in	ADP
ajst-5639	39	6	this	this	DET
ajst-5639	39	7	paper	paper	NOUN
ajst-5639	39	8	,	,	PUNCT
ajst-5639	39	9	the	the	DET
ajst-5639	39	10	signal	signal	NOUN
ajst-5639	39	11	-	-	PUNCT
ajst-5639	39	12	picture	picture	NOUN
ajst-5639	39	13	conversion	conversion	NOUN
ajst-5639	39	14	method	method	NOUN
ajst-5639	39	15	proposed	propose	VERB
ajst-5639	39	16	in	in	ADP
ajst-5639	39	17	reference	reference	NOUN
ajst-5639	39	18	[	[	X
ajst-5639	39	19	13	13	NUM
ajst-5639	39	20	]	]	PUNCT
ajst-5639	39	21	is	be	AUX
ajst-5639	39	22	used	use	VERB
ajst-5639	39	23	.	.	PUNCT
ajst-5639	40	1	in	in	ADP
ajst-5639	40	2	this	this	DET
ajst-5639	40	3	method	method	NOUN
ajst-5639	40	4	,	,	PUNCT
ajst-5639	40	5	segment	segment	NOUN
ajst-5639	40	6	data	datum	NOUN
ajst-5639	40	7	with	with	ADP
ajst-5639	40	8	the	the	DET
ajst-5639	40	9	size	size	NOUN
ajst-5639	40	10	of	of	ADP
ajst-5639	40	11	m	m	PROPN
ajst-5639	40	12	is	be	AUX
ajst-5639	40	13	randomly	randomly	ADV
ajst-5639	40	14	obtained	obtain	VERB
ajst-5639	40	15	from	from	ADP
ajst-5639	40	16	the	the	DET
ajst-5639	40	17	original	original	ADJ
ajst-5639	40	18	signal	signal	NOUN
ajst-5639	40	19	and	and	CCONJ
ajst-5639	40	20	combined	combine	VERB
ajst-5639	40	21	into	into	ADP
ajst-5639	40	22	an	an	DET
ajst-5639	40	23	image	image	NOUN
ajst-5639	40	24	of	of	ADP
ajst-5639	40	25	m	m	PROPN
ajst-5639	40	26	*	*	PROPN
ajst-5639	40	27	m	m	PROPN
ajst-5639	40	28	,	,	PUNCT
ajst-5639	40	29	and	and	CCONJ
ajst-5639	40	30	the	the	DET
ajst-5639	40	31	converted	converted	ADJ
ajst-5639	40	32	data	data	NOUN
ajst-5639	40	33	is	be	AUX
ajst-5639	40	34	guaranteed	guarantee	VERB
ajst-5639	40	35	to	to	PART
ajst-5639	40	36	be	be	AUX
ajst-5639	40	37	an	an	DET
ajst-5639	40	38	integer	integer	NOUN
ajst-5639	40	39	between	between	ADP
ajst-5639	40	40	0	0	NUM
ajst-5639	40	41	and	and	CCONJ
ajst-5639	40	42	255	255	NUM
ajst-5639	40	43	through	through	ADP
ajst-5639	40	44	formula	formula	NOUN
ajst-5639	40	45	(	(	PUNCT
ajst-5639	40	46	8)	8)	NUM
ajst-5639	40	47	.	.	PUNCT
ajst-5639	41	1	(	(	PUNCT
ajst-5639	41	2	8)	8)	NUM
ajst-5639	41	3	among	among	ADP
ajst-5639	41	4	,	,	PUNCT
ajst-5639	41	5	in	in	ADP
ajst-5639	41	6	the	the	DET
ajst-5639	41	7	two	two	NUM
ajst-5639	41	8	-	-	PUNCT
ajst-5639	41	9	dimensional	dimensional	ADJ
ajst-5639	41	10	gray	gray	ADJ
ajst-5639	41	11	scale	scale	NOUN
ajst-5639	41	12	map	map	NOUN
ajst-5639	41	13	,	,	PUNCT
ajst-5639	41	14	all	all	ADV
ajst-5639	41	15	right	right	ADJ
ajst-5639	41	16	,	,	PUNCT
ajst-5639	41	17	nothe	nothe	DET
ajst-5639	41	18	value	value	NOUN
ajst-5639	41	19	of	of	ADP
ajst-5639	41	20	the	the	DET
ajst-5639	41	21	column	column	NOUN
ajst-5639	41	22	;	;	PUNCT
ajst-5639	41	23	the	the	DET
ajst-5639	41	24	letter	letter	NOUN
ajst-5639	41	25	m	m	VERB
ajst-5639	41	26	is	be	AUX
ajst-5639	41	27	that	that	SCONJ
ajst-5639	41	28	the	the	DET
ajst-5639	41	29	size	size	NOUN
ajst-5639	41	30	of	of	ADP
ajst-5639	41	31	the	the	DET
ajst-5639	41	32	converted	convert	VERB
ajst-5639	41	33	picture	picture	NOUN
ajst-5639	41	34	is	be	AUX
ajst-5639	41	35	m	m	VERB
ajst-5639	41	36	*	*	PUNCT
ajst-5639	41	37	m	m	PRON
ajst-5639	41	38	;	;	PUNCT
ajst-5639	41	39	l	l	NOUN
ajst-5639	41	40	is	be	AUX
ajst-5639	41	41	the	the	DET
ajst-5639	41	42	value	value	NOUN
ajst-5639	41	43	of	of	ADP
ajst-5639	41	44	the	the	DET
ajst-5639	41	45	time	time	NOUN
ajst-5639	41	46	sequence	sequence	NOUN
ajst-5639	41	47	signal	signal	NOUN
ajst-5639	41	48	after	after	ADP
ajst-5639	41	49	single	single	ADJ
ajst-5639	41	50	sampling	sampling	NOUN
ajst-5639	41	51	,	,	PUNCT
ajst-5639	41	52	and	and	CCONJ
ajst-5639	41	53	its	its	PRON
ajst-5639	41	54	length	length	NOUN
ajst-5639	41	55	is	be	AUX
ajst-5639	41	56	m2	m2	PROPN
ajst-5639	41	57	;	;	PUNCT
ajst-5639	42	1	l	l	X
ajst-5639	42	2	(	(	PUNCT
ajst-5639	42	3	i	i	NOUN
ajst-5639	42	4	)	)	PUNCT
ajst-5639	42	5	is	be	AUX
ajst-5639	42	6	the	the	DET
ajst-5639	42	7	value	value	NOUN
ajst-5639	42	8	of	of	ADP
ajst-5639	42	9	the	the	DET
ajst-5639	42	10	ith	ith	PROPN
ajst-5639	42	11	data	data	NOUN
ajst-5639	42	12	point	point	NOUN
ajst-5639	42	13	in	in	ADP
ajst-5639	42	14	l	l	NOUN
ajst-5639	42	15	;	;	PUNCT
ajst-5639	42	16	round	round	ADJ
ajst-5639	42	17	(	(	PUNCT
ajst-5639	42	18	x	x	X
ajst-5639	42	19	)	)	PUNCT
ajst-5639	42	20	is	be	AUX
ajst-5639	42	21	a	a	DET
ajst-5639	42	22	rounding	round	VERB
ajst-5639	42	23	function	function	NOUN
ajst-5639	42	24	,	,	PUNCT
ajst-5639	42	25	which	which	PRON
ajst-5639	42	26	can	can	AUX
ajst-5639	42	27	round	round	VERB
ajst-5639	42	28	the	the	DET
ajst-5639	42	29	data	datum	NOUN
ajst-5639	42	30	.	.	PUNCT
ajst-5639	43	1	since	since	SCONJ
ajst-5639	43	2	cnn	cnn	PROPN
ajst-5639	43	3	came	come	VERB
ajst-5639	43	4	out	out	ADP
ajst-5639	43	5	,	,	PUNCT
ajst-5639	43	6	it	it	PRON
ajst-5639	43	7	has	have	AUX
ajst-5639	43	8	made	make	VERB
ajst-5639	43	9	great	great	ADJ
ajst-5639	43	10	achievements	achievement	NOUN
ajst-5639	43	11	in	in	ADP
ajst-5639	43	12	various	various	ADJ
ajst-5639	43	13	fields	field	NOUN
ajst-5639	43	14	.	.	PUNCT
ajst-5639	44	1	in	in	ADP
ajst-5639	44	2	the	the	DET
ajst-5639	44	3	early	early	ADJ
ajst-5639	44	4	stage	stage	NOUN
ajst-5639	44	5	,	,	PUNCT
ajst-5639	44	6	lenet5	lenet5	NOUN
ajst-5639	44	7	model	model	NOUN
ajst-5639	44	8	was	be	AUX
ajst-5639	44	9	the	the	DET
ajst-5639	44	10	most	most	ADV
ajst-5639	44	11	widely	widely	ADV
ajst-5639	44	12	used	use	VERB
ajst-5639	44	13	model	model	NOUN
ajst-5639	44	14	,	,	PUNCT
ajst-5639	44	15	but	but	CCONJ
ajst-5639	44	16	in	in	ADP
ajst-5639	44	17	the	the	DET
ajst-5639	44	18	more	more	ADV
ajst-5639	44	19	complex	complex	ADJ
ajst-5639	44	20	image	image	NOUN
ajst-5639	44	21	recognition	recognition	NOUN
ajst-5639	44	22	field	field	NOUN
ajst-5639	44	23	,	,	PUNCT
ajst-5639	44	24	the	the	DET
ajst-5639	44	25	model	model	NOUN
ajst-5639	44	26	is	be	AUX
ajst-5639	44	27	not	not	PART
ajst-5639	44	28	effective	effective	ADJ
ajst-5639	44	29	due	due	ADP
ajst-5639	44	30	to	to	ADP
ajst-5639	44	31	the	the	DET
ajst-5639	44	32	limitation	limitation	NOUN
ajst-5639	44	33	of	of	ADP
ajst-5639	44	34	the	the	DET
ajst-5639	44	35	number	number	NOUN
ajst-5639	44	36	of	of	ADP
ajst-5639	44	37	layers	layer	NOUN
ajst-5639	44	38	.	.	PUNCT
ajst-5639	45	1	since	since	SCONJ
ajst-5639	45	2	then	then	ADV
ajst-5639	45	3	,	,	PUNCT
ajst-5639	45	4	more	more	ADV
ajst-5639	45	5	excellent	excellent	ADJ
ajst-5639	45	6	models	model	NOUN
ajst-5639	45	7	have	have	AUX
ajst-5639	45	8	emerged	emerge	VERB
ajst-5639	45	9	,	,	PUNCT
ajst-5639	45	10	such	such	ADJ
ajst-5639	45	11	as	as	ADP
ajst-5639	45	12	alexnet[12	alexnet[12	PROPN
ajst-5639	45	13	]	]	X
ajst-5639	45	14	,	,	PUNCT
ajst-5639	45	15	googlenet	googlenet	NOUN
ajst-5639	45	16	,	,	PUNCT
ajst-5639	45	17	vgg	vgg	PROPN
ajst-5639	45	18	,	,	PUNCT
ajst-5639	45	19	etc	etc	X
ajst-5639	45	20	.	.	X
ajst-5639	46	1	these	these	DET
ajst-5639	46	2	models	model	NOUN
ajst-5639	46	3	use	use	VERB
ajst-5639	46	4	deep	deep	ADJ
ajst-5639	46	5	network	network	NOUN
ajst-5639	46	6	framework	framework	NOUN
ajst-5639	46	7	to	to	PART
ajst-5639	46	8	solve	solve	VERB
ajst-5639	46	9	the	the	DET
ajst-5639	46	10	above	above	ADJ
ajst-5639	46	11	problems	problem	NOUN
ajst-5639	46	12	.	.	PUNCT
ajst-5639	47	1	however	however	ADV
ajst-5639	47	2	,	,	PUNCT
ajst-5639	47	3	with	with	ADP
ajst-5639	47	4	the	the	DET
ajst-5639	47	5	increase	increase	NOUN
ajst-5639	47	6	of	of	ADP
ajst-5639	47	7	the	the	DET
ajst-5639	47	8	number	number	NOUN
ajst-5639	47	9	of	of	ADP
ajst-5639	47	10	network	network	NOUN
ajst-5639	47	11	layers	layer	NOUN
ajst-5639	47	12	,	,	PUNCT
ajst-5639	47	13	the	the	DET
ajst-5639	47	14	structure	structure	NOUN
ajst-5639	47	15	of	of	ADP
ajst-5639	47	16	these	these	DET
ajst-5639	47	17	models	model	NOUN
ajst-5639	47	18	is	be	AUX
ajst-5639	47	19	becoming	become	VERB
ajst-5639	47	20	more	more	ADV
ajst-5639	47	21	and	and	CCONJ
ajst-5639	47	22	more	more	ADV
ajst-5639	47	23	complex	complex	ADJ
ajst-5639	47	24	,	,	PUNCT
ajst-5639	47	25	and	and	CCONJ
ajst-5639	47	26	the	the	DET
ajst-5639	47	27	difficulty	difficulty	NOUN
ajst-5639	47	28	of	of	ADP
ajst-5639	47	29	training	training	NOUN
ajst-5639	47	30	is	be	AUX
ajst-5639	47	31	also	also	ADV
ajst-5639	47	32	increasing	increase	VERB
ajst-5639	47	33	,	,	PUNCT
ajst-5639	47	34	but	but	CCONJ
ajst-5639	47	35	the	the	DET
ajst-5639	47	36	performance	performance	NOUN
ajst-5639	47	37	of	of	ADP
ajst-5639	47	38	the	the	DET
ajst-5639	47	39	models	model	NOUN
ajst-5639	47	40	is	be	AUX
ajst-5639	47	41	declining	decline	VERB
ajst-5639	47	42	rapidly	rapidly	ADV
ajst-5639	47	43	,	,	PUNCT
ajst-5639	47	44	resulting	result	VERB
ajst-5639	47	45	in	in	ADP
ajst-5639	47	46	the	the	DET
ajst-5639	47	47	disappearance	disappearance	NOUN
ajst-5639	47	48	of	of	ADP
ajst-5639	47	49	gradients	gradient	NOUN
ajst-5639	47	50	and	and	CCONJ
ajst-5639	47	51	other	other	ADJ
ajst-5639	47	52	issues	issue	NOUN
ajst-5639	47	53	.	.	PUNCT
ajst-5639	48	1	in	in	ADP
ajst-5639	48	2	order	order	NOUN
ajst-5639	48	3	to	to	PART
ajst-5639	48	4	solve	solve	VERB
ajst-5639	48	5	the	the	DET
ajst-5639	48	6	above	above	ADJ
ajst-5639	48	7	problems	problem	NOUN
ajst-5639	48	8	,	,	PUNCT
ajst-5639	48	9	he	he	PRON
ajst-5639	48	10	kaiming	kaiming	NOUN
ajst-5639	48	11	,	,	PUNCT
ajst-5639	48	12	zhang	zhang	PROPN
ajst-5639	48	13	xiangyu	xiangyu	PROPN
ajst-5639	48	14	and	and	CCONJ
ajst-5639	48	15	others[11]proposed	others[11]propose	VERB
ajst-5639	48	16	the	the	DET
ajst-5639	48	17	resnet	resnet	NOUN
ajst-5639	48	18	network	network	NOUN
ajst-5639	48	19	in	in	ADP
ajst-5639	48	20	2015	2015	NUM
ajst-5639	48	21	.	.	PUNCT
ajst-5639	49	1	the	the	DET
ajst-5639	49	2	network	network	NOUN
ajst-5639	49	3	is	be	AUX
ajst-5639	49	4	composed	compose	VERB
ajst-5639	49	5	of	of	ADP
ajst-5639	49	6	multiple	multiple	ADJ
ajst-5639	49	7	residual	residual	ADJ
ajst-5639	49	8	blocks	block	NOUN
ajst-5639	49	9	,	,	PUNCT
ajst-5639	49	10	and	and	CCONJ
ajst-5639	49	11	its	its	PRON
ajst-5639	49	12	core	core	NOUN
ajst-5639	49	13	is	be	AUX
ajst-5639	49	14	to	to	PART
ajst-5639	49	15	introduce	introduce	VERB
ajst-5639	49	16	the	the	DET
ajst-5639	49	17	identity	identity	NOUN
ajst-5639	49	18	mapping	mapping	NOUN
ajst-5639	49	19	and	and	CCONJ
ajst-5639	49	20	directly	directly	ADV
ajst-5639	49	21	skip	skip	VERB
ajst-5639	49	22	one	one	NUM
ajst-5639	49	23	or	or	CCONJ
ajst-5639	49	24	more	more	ADJ
ajst-5639	49	25	layers	layer	NOUN
ajst-5639	49	26	of	of	ADP
ajst-5639	49	27	networks	network	NOUN
ajst-5639	49	28	,	,	PUNCT
ajst-5639	49	29	as	as	SCONJ
ajst-5639	49	30	shown	show	VERB
ajst-5639	49	31	in	in	ADP
ajst-5639	49	32	the	the	DET
ajst-5639	49	33	following	follow	VERB
ajst-5639	49	34	figure	figure	NOUN
ajst-5639	49	35	:	:	PUNCT
ajst-5639	49	36	figure	figure	NOUN
ajst-5639	49	37	1	1	NUM
ajst-5639	49	38	.	.	PUNCT
ajst-5639	49	39	residual	residual	ADJ
ajst-5639	49	40	module	module	NOUN
ajst-5639	49	41	compared	compare	VERB
ajst-5639	49	42	with	with	ADP
ajst-5639	49	43	the	the	DET
ajst-5639	49	44	serial	serial	ADJ
ajst-5639	49	45	structure	structure	NOUN
ajst-5639	49	46	of	of	ADP
ajst-5639	49	47	the	the	DET
ajst-5639	49	48	ordinary	ordinary	ADJ
ajst-5639	49	49	network	network	NOUN
ajst-5639	49	50	,	,	PUNCT
ajst-5639	49	51	the	the	DET
ajst-5639	49	52	residual	residual	ADJ
ajst-5639	49	53	module	module	NOUN
ajst-5639	49	54	adds	add	VERB
ajst-5639	49	55	the	the	DET
ajst-5639	49	56	jump	jump	NOUN
ajst-5639	49	57	mapping	mapping	NOUN
ajst-5639	49	58	.	.	PUNCT
ajst-5639	50	1	in	in	ADP
ajst-5639	50	2	order	order	NOUN
ajst-5639	50	3	to	to	PART
ajst-5639	50	4	supplement	supplement	VERB
ajst-5639	50	5	the	the	DET
ajst-5639	50	6	feature	feature	NOUN
ajst-5639	50	7	information	information	NOUN
ajst-5639	50	8	lost	lose	VERB
ajst-5639	50	9	in	in	ADP
ajst-5639	50	10	the	the	DET
ajst-5639	50	11	convolution	convolution	NOUN
ajst-5639	50	12	235	235	NUM
ajst-5639	50	13	process	process	NOUN
ajst-5639	50	14	,	,	PUNCT
ajst-5639	50	15	the	the	DET
ajst-5639	50	16	residual	residual	ADJ
ajst-5639	50	17	module	module	NOUN
ajst-5639	50	18	adds	add	VERB
ajst-5639	50	19	the	the	DET
ajst-5639	50	20	input	input	NOUN
ajst-5639	50	21	to	to	ADP
ajst-5639	50	22	the	the	DET
ajst-5639	50	23	output	output	NOUN
ajst-5639	50	24	directly	directly	ADV
ajst-5639	50	25	.	.	PUNCT
ajst-5639	51	1	in	in	ADP
ajst-5639	51	2	the	the	DET
ajst-5639	51	3	process	process	NOUN
ajst-5639	51	4	of	of	ADP
ajst-5639	51	5	addition	addition	NOUN
ajst-5639	51	6	,	,	PUNCT
ajst-5639	51	7	it	it	PRON
ajst-5639	51	8	is	be	AUX
ajst-5639	51	9	necessary	necessary	ADJ
ajst-5639	51	10	to	to	PART
ajst-5639	51	11	ensure	ensure	VERB
ajst-5639	51	12	the	the	DET
ajst-5639	51	13	calculation	calculation	NOUN
ajst-5639	51	14	of	of	ADP
ajst-5639	51	15	the	the	DET
ajst-5639	51	16	same	same	ADJ
ajst-5639	51	17	dimension	dimension	NOUN
ajst-5639	51	18	.	.	PUNCT
ajst-5639	52	1	if	if	SCONJ
ajst-5639	52	2	it	it	PRON
ajst-5639	52	3	is	be	AUX
ajst-5639	52	4	not	not	PART
ajst-5639	52	5	satisfied	satisfied	ADJ
ajst-5639	52	6	,	,	PUNCT
ajst-5639	52	7	it	it	PRON
ajst-5639	52	8	is	be	AUX
ajst-5639	52	9	necessary	necessary	ADJ
ajst-5639	52	10	to	to	PART
ajst-5639	52	11	match	match	VERB
ajst-5639	52	12	the	the	DET
ajst-5639	52	13	dimensions	dimension	NOUN
ajst-5639	52	14	through	through	ADP
ajst-5639	52	15	some	some	DET
ajst-5639	52	16	operations	operation	NOUN
ajst-5639	52	17	,	,	PUNCT
ajst-5639	52	18	such	such	ADJ
ajst-5639	52	19	as	as	ADP
ajst-5639	52	20	increasing	increase	VERB
ajst-5639	52	21	the	the	DET
ajst-5639	52	22	dimension	dimension	NOUN
ajst-5639	52	23	with	with	ADP
ajst-5639	52	24	zero	zero	NUM
ajst-5639	52	25	-	-	PUNCT
ajst-5639	52	26	padding	padding	NOUN
ajst-5639	52	27	or	or	CCONJ
ajst-5639	52	28	using	use	VERB
ajst-5639	52	29	1	1	NUM
ajst-5639	52	30	*	*	SYM
ajst-5639	52	31	1	1	NUM
ajst-5639	52	32	convolution	convolution	NOUN
ajst-5639	52	33	to	to	PART
ajst-5639	52	34	increase	increase	VERB
ajst-5639	52	35	the	the	DET
ajst-5639	52	36	dimension	dimension	NOUN
ajst-5639	52	37	.	.	PUNCT
ajst-5639	53	1	deep	deep	ADJ
ajst-5639	53	2	residual	residual	ADJ
ajst-5639	53	3	network	network	NOUN
ajst-5639	53	4	solves	solve	VERB
ajst-5639	53	5	the	the	DET
ajst-5639	53	6	degradation	degradation	NOUN
ajst-5639	53	7	problem	problem	NOUN
ajst-5639	53	8	of	of	ADP
ajst-5639	53	9	deep	deep	ADJ
ajst-5639	53	10	network	network	NOUN
ajst-5639	53	11	through	through	ADP
ajst-5639	53	12	residual	residual	ADJ
ajst-5639	53	13	learning	learning	NOUN
ajst-5639	53	14	,	,	PUNCT
ajst-5639	53	15	which	which	PRON
ajst-5639	53	16	makes	make	VERB
ajst-5639	53	17	the	the	DET
ajst-5639	53	18	model	model	NOUN
ajst-5639	53	19	training	train	VERB
ajst-5639	53	20	more	more	ADV
ajst-5639	53	21	stable	stable	ADJ
ajst-5639	53	22	and	and	CCONJ
ajst-5639	53	23	the	the	DET
ajst-5639	53	24	model	model	NOUN
ajst-5639	53	25	performance	performance	NOUN
ajst-5639	53	26	better	well	ADV
ajst-5639	53	27	.	.	PUNCT
ajst-5639	54	1	3	3	X
ajst-5639	54	2	.	.	X
ajst-5639	54	3	diagnostic	diagnostic	ADJ
ajst-5639	54	4	process	process	NOUN
ajst-5639	54	5	the	the	DET
ajst-5639	54	6	main	main	ADJ
ajst-5639	54	7	process	process	NOUN
ajst-5639	54	8	of	of	ADP
ajst-5639	54	9	this	this	DET
ajst-5639	54	10	study	study	NOUN
ajst-5639	54	11	includes	include	VERB
ajst-5639	54	12	denoising	denoising	NOUN
ajst-5639	54	13	preprocessing	preprocessing	NOUN
ajst-5639	54	14	of	of	ADP
ajst-5639	54	15	data	datum	NOUN
ajst-5639	54	16	sets	set	NOUN
ajst-5639	54	17	,	,	PUNCT
ajst-5639	54	18	signal	signal	NOUN
ajst-5639	54	19	-	-	PUNCT
ajst-5639	54	20	image	image	NOUN
ajst-5639	54	21	conversion	conversion	NOUN
ajst-5639	54	22	and	and	CCONJ
ajst-5639	54	23	model	model	NOUN
ajst-5639	54	24	training	training	NOUN
ajst-5639	54	25	and	and	CCONJ
ajst-5639	54	26	verification	verification	NOUN
ajst-5639	54	27	.	.	PUNCT
ajst-5639	55	1	the	the	DET
ajst-5639	55	2	process	process	NOUN
ajst-5639	55	3	is	be	AUX
ajst-5639	55	4	as	as	SCONJ
ajst-5639	55	5	follows	follow	VERB
ajst-5639	55	6	:	:	PUNCT
ajst-5639	55	7	figure	figure	NOUN
ajst-5639	55	8	2	2	NUM
ajst-5639	55	9	.	.	PUNCT
ajst-5639	55	10	diagnostic	diagnostic	ADJ
ajst-5639	55	11	process	process	NOUN
ajst-5639	55	12	the	the	DET
ajst-5639	55	13	vmd	vmd	PROPN
ajst-5639	55	14	-	-	PUNCT
ajst-5639	55	15	sg	sg	ADP
ajst-5639	55	16	-	-	PUNCT
ajst-5639	55	17	resnet	resnet	NOUN
ajst-5639	55	18	algorithm	algorithm	NOUN
ajst-5639	55	19	model	model	NOUN
ajst-5639	55	20	firstly	firstly	ADV
ajst-5639	55	21	decomposes	decompose	VERB
ajst-5639	55	22	the	the	DET
ajst-5639	55	23	vibration	vibration	NOUN
ajst-5639	55	24	data	datum	NOUN
ajst-5639	55	25	of	of	ADP
ajst-5639	55	26	the	the	DET
ajst-5639	55	27	rolling	rolling	ADJ
ajst-5639	55	28	bearing	bearing	NOUN
ajst-5639	55	29	by	by	ADP
ajst-5639	55	30	vmd	vmd	PROPN
ajst-5639	55	31	,	,	PUNCT
ajst-5639	55	32	calculates	calculate	VERB
ajst-5639	55	33	the	the	DET
ajst-5639	55	34	correlation	correlation	NOUN
ajst-5639	55	35	coefficient	coefficient	NOUN
ajst-5639	55	36	between	between	ADP
ajst-5639	55	37	each	each	DET
ajst-5639	55	38	imf	imf	PROPN
ajst-5639	55	39	component	component	NOUN
ajst-5639	55	40	and	and	CCONJ
ajst-5639	55	41	the	the	DET
ajst-5639	55	42	original	original	ADJ
ajst-5639	55	43	data	datum	NOUN
ajst-5639	55	44	,	,	PUNCT
ajst-5639	55	45	selects	select	VERB
ajst-5639	55	46	the	the	DET
ajst-5639	55	47	data	datum	NOUN
ajst-5639	55	48	with	with	ADP
ajst-5639	55	49	small	small	ADJ
ajst-5639	55	50	correlation	correlation	NOUN
ajst-5639	55	51	coefficient	coefficient	NOUN
ajst-5639	55	52	as	as	ADP
ajst-5639	55	53	the	the	DET
ajst-5639	55	54	noise	noise	NOUN
ajst-5639	55	55	data	datum	NOUN
ajst-5639	55	56	,	,	PUNCT
ajst-5639	55	57	and	and	CCONJ
ajst-5639	55	58	uses	use	VERB
ajst-5639	55	59	savitzky	savitzky	NOUN
ajst-5639	55	60	-	-	PUNCT
ajst-5639	55	61	golay	golay	NOUN
ajst-5639	55	62	filter	filter	NOUN
ajst-5639	55	63	to	to	PART
ajst-5639	55	64	smooth	smooth	VERB
ajst-5639	55	65	filter	filter	NOUN
ajst-5639	55	66	and	and	CCONJ
ajst-5639	55	67	reduce	reduce	VERB
ajst-5639	55	68	noise	noise	NOUN
ajst-5639	55	69	.	.	PUNCT
ajst-5639	56	1	after	after	ADP
ajst-5639	56	2	that	that	PRON
ajst-5639	56	3	,	,	PUNCT
ajst-5639	56	4	the	the	DET
ajst-5639	56	5	denoised	denoise	VERB
ajst-5639	56	6	components	component	NOUN
ajst-5639	56	7	and	and	CCONJ
ajst-5639	56	8	other	other	ADJ
ajst-5639	56	9	components	component	NOUN
ajst-5639	56	10	are	be	AUX
ajst-5639	56	11	reconstructed	reconstruct	VERB
ajst-5639	56	12	to	to	PART
ajst-5639	56	13	form	form	VERB
ajst-5639	56	14	denoised	denoise	VERB
ajst-5639	56	15	signal	signal	NOUN
ajst-5639	56	16	data	datum	NOUN
ajst-5639	56	17	,	,	PUNCT
ajst-5639	56	18	and	and	CCONJ
ajst-5639	56	19	then	then	ADV
ajst-5639	56	20	these	these	DET
ajst-5639	56	21	data	datum	NOUN
ajst-5639	56	22	are	be	AUX
ajst-5639	56	23	converted	convert	VERB
ajst-5639	56	24	into	into	ADP
ajst-5639	56	25	two	two	NUM
ajst-5639	56	26	-	-	PUNCT
ajst-5639	56	27	dimensional	dimensional	ADJ
ajst-5639	56	28	grayscale	grayscale	NOUN
ajst-5639	56	29	images	image	NOUN
ajst-5639	56	30	,	,	PUNCT
ajst-5639	56	31	which	which	PRON
ajst-5639	56	32	are	be	AUX
ajst-5639	56	33	input	input	VERB
ajst-5639	56	34	into	into	ADP
ajst-5639	56	35	the	the	DET
ajst-5639	56	36	resnet	resnet	NOUN
ajst-5639	56	37	model	model	NOUN
ajst-5639	56	38	for	for	ADP
ajst-5639	56	39	training	training	NOUN
ajst-5639	56	40	,	,	PUNCT
ajst-5639	56	41	and	and	CCONJ
ajst-5639	56	42	the	the	DET
ajst-5639	56	43	model	model	NOUN
ajst-5639	56	44	with	with	ADP
ajst-5639	56	45	optimal	optimal	ADJ
ajst-5639	56	46	parameters	parameter	NOUN
ajst-5639	56	47	is	be	AUX
ajst-5639	56	48	obtained	obtain	VERB
ajst-5639	56	49	through	through	ADP
ajst-5639	56	50	the	the	DET
ajst-5639	56	51	training	training	NOUN
ajst-5639	56	52	data	datum	NOUN
ajst-5639	56	53	set	set	VERB
ajst-5639	56	54	,	,	PUNCT
ajst-5639	56	55	and	and	CCONJ
ajst-5639	56	56	the	the	DET
ajst-5639	56	57	test	test	NOUN
ajst-5639	56	58	set	set	VERB
ajst-5639	56	59	data	datum	NOUN
ajst-5639	56	60	is	be	AUX
ajst-5639	56	61	input	input	VERB
ajst-5639	56	62	into	into	ADP
ajst-5639	56	63	the	the	DET
ajst-5639	56	64	model	model	NOUN
ajst-5639	56	65	for	for	ADP
ajst-5639	56	66	testing	testing	NOUN
ajst-5639	56	67	.	.	PUNCT
ajst-5639	57	1	4	4	X
ajst-5639	57	2	.	.	X
ajst-5639	57	3	experiment	experiment	NOUN
ajst-5639	57	4	and	and	CCONJ
ajst-5639	57	5	discussion	discussion	NOUN
ajst-5639	57	6	4.1	4.1	NUM
ajst-5639	57	7	.	.	PUNCT
ajst-5639	58	1	vmd	vmd	PROPN
ajst-5639	58	2	-	-	PUNCT
ajst-5639	58	3	sg	sg	PROPN
ajst-5639	58	4	noise	noise	NOUN
ajst-5639	58	5	reduction	reduction	NOUN
ajst-5639	58	6	as	as	ADP
ajst-5639	58	7	an	an	DET
ajst-5639	58	8	important	important	ADJ
ajst-5639	58	9	part	part	NOUN
ajst-5639	58	10	of	of	ADP
ajst-5639	58	11	wind	wind	NOUN
ajst-5639	58	12	turbine	turbine	NOUN
ajst-5639	58	13	,	,	PUNCT
ajst-5639	58	14	the	the	DET
ajst-5639	58	15	normal	normal	ADJ
ajst-5639	58	16	operation	operation	NOUN
ajst-5639	58	17	of	of	ADP
ajst-5639	58	18	rolling	rolling	ADJ
ajst-5639	58	19	bearing	bearing	NOUN
ajst-5639	58	20	is	be	AUX
ajst-5639	58	21	very	very	ADV
ajst-5639	58	22	important	important	ADJ
ajst-5639	58	23	for	for	ADP
ajst-5639	58	24	wind	wind	NOUN
ajst-5639	58	25	turbine	turbine	NOUN
ajst-5639	58	26	.	.	PUNCT
ajst-5639	59	1	in	in	ADP
ajst-5639	59	2	this	this	DET
ajst-5639	59	3	paper	paper	NOUN
ajst-5639	59	4	,	,	PUNCT
ajst-5639	59	5	the	the	DET
ajst-5639	59	6	vibration	vibration	NOUN
ajst-5639	59	7	data	datum	NOUN
ajst-5639	59	8	of	of	ADP
ajst-5639	59	9	rolling	rolling	ADJ
ajst-5639	59	10	bearing	bearing	NOUN
ajst-5639	59	11	from	from	ADP
ajst-5639	59	12	the	the	DET
ajst-5639	59	13	electrical	electrical	ADJ
ajst-5639	59	14	engineering	engineering	NOUN
ajst-5639	59	15	laboratory	laboratory	NOUN
ajst-5639	59	16	of	of	ADP
ajst-5639	59	17	case	case	NOUN
ajst-5639	59	18	western	western	PROPN
ajst-5639	59	19	reserve	reserve	PROPN
ajst-5639	59	20	university	university	PROPN
ajst-5639	59	21	in	in	ADP
ajst-5639	59	22	the	the	DET
ajst-5639	59	23	united	united	PROPN
ajst-5639	59	24	states	states	PROPN
ajst-5639	59	25	are	be	AUX
ajst-5639	59	26	used	use	VERB
ajst-5639	59	27	for	for	ADP
ajst-5639	59	28	experiments	experiment	NOUN
ajst-5639	59	29	,	,	PUNCT
ajst-5639	59	30	and	and	CCONJ
ajst-5639	59	31	the	the	DET
ajst-5639	59	32	fault	fault	NOUN
ajst-5639	59	33	types	type	NOUN
ajst-5639	59	34	include	include	VERB
ajst-5639	59	35	rolling	rolling	NOUN
ajst-5639	59	36	element	element	NOUN
ajst-5639	59	37	(	(	PUNCT
ajst-5639	59	38	re	re	NOUN
ajst-5639	59	39	)	)	PUNCT
ajst-5639	59	40	,	,	PUNCT
ajst-5639	59	41	inner	inner	ADJ
ajst-5639	59	42	ring	ring	NOUN
ajst-5639	59	43	(	(	PUNCT
ajst-5639	59	44	ir	ir	NOUN
ajst-5639	59	45	)	)	PUNCT
ajst-5639	59	46	and	and	CCONJ
ajst-5639	59	47	outer	outer	ADJ
ajst-5639	59	48	ring	ring	NOUN
ajst-5639	59	49	(	(	PUNCT
ajst-5639	59	50	or	or	CCONJ
ajst-5639	59	51	)	)	PUNCT
ajst-5639	59	52	.	.	PUNCT
ajst-5639	60	1	each	each	DET
ajst-5639	60	2	type	type	NOUN
ajst-5639	60	3	of	of	ADP
ajst-5639	60	4	fault	fault	NOUN
ajst-5639	60	5	includes	include	VERB
ajst-5639	60	6	three	three	NUM
ajst-5639	60	7	different	different	ADJ
ajst-5639	60	8	degrees	degree	NOUN
ajst-5639	60	9	of	of	ADP
ajst-5639	60	10	damage	damage	NOUN
ajst-5639	60	11	size	size	NOUN
ajst-5639	60	12	:	:	PUNCT
ajst-5639	60	13	0.01	0.01	NUM
ajst-5639	60	14	mm	mm	NOUN
ajst-5639	60	15	,	,	PUNCT
ajst-5639	60	16	0.36	0.36	NUM
ajst-5639	60	17	mm	mm	NOUN
ajst-5639	60	18	and	and	CCONJ
ajst-5639	60	19	0.54	0.54	NUM
ajst-5639	60	20	mm	mm	NOUN
ajst-5639	60	21	.	.	PUNCT
ajst-5639	61	1	the	the	DET
ajst-5639	61	2	above	above	ADJ
ajst-5639	61	3	nine	nine	NUM
ajst-5639	61	4	fault	fault	NOUN
ajst-5639	61	5	states	state	NOUN
ajst-5639	61	6	and	and	CCONJ
ajst-5639	61	7	the	the	DET
ajst-5639	61	8	normal	normal	ADJ
ajst-5639	61	9	state	state	NOUN
ajst-5639	61	10	of	of	ADP
ajst-5639	61	11	the	the	DET
ajst-5639	61	12	bearing	bearing	NOUN
ajst-5639	61	13	together	together	ADV
ajst-5639	61	14	constitute	constitute	VERB
ajst-5639	61	15	the	the	DET
ajst-5639	61	16	10	10	NUM
ajst-5639	61	17	health	health	NOUN
ajst-5639	61	18	states	state	NOUN
ajst-5639	61	19	of	of	ADP
ajst-5639	61	20	the	the	DET
ajst-5639	61	21	experiment	experiment	NOUN
ajst-5639	61	22	.	.	PUNCT
ajst-5639	62	1	each	each	DET
ajst-5639	62	2	health	health	NOUN
ajst-5639	62	3	state	state	NOUN
ajst-5639	62	4	has	have	VERB
ajst-5639	62	5	500	500	NUM
ajst-5639	62	6	samples	sample	NOUN
ajst-5639	62	7	,	,	PUNCT
ajst-5639	62	8	and	and	CCONJ
ajst-5639	62	9	each	each	DET
ajst-5639	62	10	sample	sample	NOUN
ajst-5639	62	11	is	be	AUX
ajst-5639	62	12	obtained	obtain	VERB
ajst-5639	62	13	by	by	ADP
ajst-5639	62	14	collecting	collect	VERB
ajst-5639	62	15	4096	4096	NUM
ajst-5639	62	16	continuous	continuous	ADJ
ajst-5639	62	17	data	datum	NOUN
ajst-5639	62	18	points	point	NOUN
ajst-5639	62	19	with	with	ADP
ajst-5639	62	20	a	a	DET
ajst-5639	62	21	frequency	frequency	NOUN
ajst-5639	62	22	of	of	ADP
ajst-5639	62	23	12	12	NUM
ajst-5639	62	24	kw	kw	NOUN
ajst-5639	62	25	.	.	PUNCT
ajst-5639	63	1	then	then	ADV
ajst-5639	63	2	these	these	DET
ajst-5639	63	3	samples	sample	NOUN
ajst-5639	63	4	are	be	AUX
ajst-5639	63	5	denoised	denoise	VERB
ajst-5639	63	6	by	by	ADP
ajst-5639	63	7	vmd	vmd	PROPN
ajst-5639	63	8	-	-	PROPN
ajst-5639	63	9	sg	sg	PROPN
ajst-5639	63	10	and	and	CCONJ
ajst-5639	63	11	converted	convert	VERB
ajst-5639	63	12	into	into	ADP
ajst-5639	63	13	two	two	NUM
ajst-5639	63	14	-	-	PUNCT
ajst-5639	63	15	dimensional	dimensional	ADJ
ajst-5639	63	16	gray	gray	ADJ
ajst-5639	63	17	images	image	NOUN
ajst-5639	63	18	and	and	CCONJ
ajst-5639	63	19	input	input	NOUN
ajst-5639	63	20	into	into	ADP
ajst-5639	63	21	resnet	resnet	ADJ
ajst-5639	63	22	model	model	NOUN
ajst-5639	63	23	for	for	ADP
ajst-5639	63	24	fault	fault	NOUN
ajst-5639	63	25	diagnosis	diagnosis	NOUN
ajst-5639	63	26	.	.	PUNCT
ajst-5639	64	1	fig	fig	NOUN
ajst-5639	64	2	.	.	PUNCT
ajst-5639	65	1	3	3	NUM
ajst-5639	65	2	shows	show	VERB
ajst-5639	65	3	the	the	DET
ajst-5639	65	4	waveform	waveform	NOUN
ajst-5639	65	5	of	of	ADP
ajst-5639	65	6	the	the	DET
ajst-5639	65	7	original	original	ADJ
ajst-5639	65	8	vibration	vibration	NOUN
ajst-5639	65	9	signal	signal	NOUN
ajst-5639	65	10	of	of	ADP
ajst-5639	65	11	the	the	DET
ajst-5639	65	12	bearing	bear	VERB
ajst-5639	65	13	outer	outer	ADJ
ajst-5639	65	14	ring	ring	NOUN
ajst-5639	65	15	with	with	ADP
ajst-5639	65	16	a	a	DET
ajst-5639	65	17	damage	damage	NOUN
ajst-5639	65	18	of	of	ADP
ajst-5639	65	19	0.18	0.18	NUM
ajst-5639	65	20	mm	mm	NOUN
ajst-5639	65	21	(	(	PUNCT
ajst-5639	65	22	500	500	NUM
ajst-5639	65	23	data	datum	NOUN
ajst-5639	65	24	points	point	NOUN
ajst-5639	65	25	are	be	AUX
ajst-5639	65	26	selected	select	VERB
ajst-5639	65	27	for	for	ADP
ajst-5639	65	28	clear	clear	ADJ
ajst-5639	65	29	observation	observation	NOUN
ajst-5639	65	30	)	)	PUNCT
ajst-5639	65	31	.	.	PUNCT
ajst-5639	66	1	figure	figure	NOUN
ajst-5639	66	2	3	3	NUM
ajst-5639	66	3	.	.	X
ajst-5639	67	1	waveform	waveform	NOUN
ajst-5639	67	2	of	of	ADP
ajst-5639	67	3	original	original	ADJ
ajst-5639	67	4	signal	signal	NOUN
ajst-5639	67	5	with	with	ADP
ajst-5639	67	6	outer	outer	ADJ
ajst-5639	67	7	ring	ring	NOUN
ajst-5639	67	8	damage	damage	NOUN
ajst-5639	67	9	size	size	NOUN
ajst-5639	67	10	of	of	ADP
ajst-5639	67	11	0.18	0.18	NUM
ajst-5639	67	12	after	after	ADP
ajst-5639	67	13	vmd	vmd	PROPN
ajst-5639	67	14	,	,	PUNCT
ajst-5639	67	15	the	the	DET
ajst-5639	67	16	original	original	ADJ
ajst-5639	67	17	vibration	vibration	NOUN
ajst-5639	67	18	signal	signal	NOUN
ajst-5639	67	19	is	be	AUX
ajst-5639	67	20	decomposed	decompose	VERB
ajst-5639	67	21	into	into	ADP
ajst-5639	67	22	10	10	NUM
ajst-5639	67	23	imf	imf	PROPN
ajst-5639	67	24	components	component	NOUN
ajst-5639	67	25	.	.	PUNCT
ajst-5639	68	1	the	the	DET
ajst-5639	68	2	characteristic	characteristic	ADJ
ajst-5639	68	3	parameters	parameter	NOUN
ajst-5639	68	4	of	of	ADP
ajst-5639	68	5	vmd	vmd	PROPN
ajst-5639	68	6	decomposition	decomposition	NOUN
ajst-5639	68	7	in	in	ADP
ajst-5639	68	8	this	this	DET
ajst-5639	68	9	experiment	experiment	NOUN
ajst-5639	68	10	are	be	AUX
ajst-5639	68	11	:	:	PUNCT
ajst-5639	68	12	penalty	penalty	NOUN
ajst-5639	68	13	factor	factor	NOUN
ajst-5639	68	14	alpha	alpha	NOUN
ajst-5639	68	15	=	=	SYM
ajst-5639	68	16	2000	2000	NUM
ajst-5639	68	17	,	,	PUNCT
ajst-5639	68	18	noise	noise	VERB
ajst-5639	68	19	tolerance	tolerance	NOUN
ajst-5639	68	20	tau	tau	NOUN
ajst-5639	68	21	=	=	SYM
ajst-5639	68	22	0	0	NUM
ajst-5639	68	23	,	,	PUNCT
ajst-5639	68	24	number	number	NOUN
ajst-5639	68	25	of	of	ADP
ajst-5639	68	26	decomposed	decompose	VERB
ajst-5639	68	27	modes	mode	NOUN
ajst-5639	68	28	k	k	NOUN
ajst-5639	69	1	=	=	SYM
ajst-5639	69	2	10	10	NUM
ajst-5639	69	3	,	,	PUNCT
ajst-5639	69	4	no	no	DET
ajst-5639	69	5	dc	dc	PROPN
ajst-5639	69	6	component	component	NOUN
ajst-5639	69	7	dc	dc	PROPN
ajst-5639	69	8	=	=	SYM
ajst-5639	69	9	0	0	PROPN
ajst-5639	69	10	,	,	PUNCT
ajst-5639	69	11	initialization	initialization	NOUN
ajst-5639	69	12	center	center	NOUN
ajst-5639	69	13	frequency	frequency	NOUN
ajst-5639	69	14	is	be	AUX
ajst-5639	69	15	uniformly	uniformly	ADV
ajst-5639	69	16	distributed	distribute	VERB
ajst-5639	69	17	,	,	PUNCT
ajst-5639	69	18	that	that	ADV
ajst-5639	69	19	is	is	ADV
ajst-5639	69	20	,	,	PUNCT
ajst-5639	69	21	init	init	VERB
ajst-5639	69	22	=	=	PROPN
ajst-5639	69	23	1	1	NUM
ajst-5639	69	24	,	,	PUNCT
ajst-5639	69	25	and	and	CCONJ
ajst-5639	69	26	convergence	convergence	NOUN
ajst-5639	69	27	criterion	criterion	NOUN
ajst-5639	69	28	tolerance	tolerance	NOUN
ajst-5639	69	29	tol	tol	NOUN
ajst-5639	69	30	=	=	PUNCT
ajst-5639	70	1	1e-7	1e-7	X
ajst-5639	70	2	.	.	PUNCT
ajst-5639	71	1	the	the	DET
ajst-5639	71	2	decomposed	decompose	VERB
ajst-5639	71	3	waveforms	waveform	NOUN
ajst-5639	71	4	of	of	ADP
ajst-5639	71	5	each	each	DET
ajst-5639	71	6	imf	imf	PROPN
ajst-5639	71	7	component	component	NOUN
ajst-5639	71	8	are	be	AUX
ajst-5639	71	9	shown	show	VERB
ajst-5639	71	10	in	in	ADP
ajst-5639	71	11	figure	figure	NOUN
ajst-5639	71	12	4	4	NUM
ajst-5639	71	13	.	.	PUNCT
ajst-5639	71	14	figure	figure	VERB
ajst-5639	71	15	4	4	NUM
ajst-5639	71	16	.	.	PUNCT
ajst-5639	72	1	waveform	waveform	NOUN
ajst-5639	72	2	of	of	ADP
ajst-5639	72	3	imf	imf	PROPN
ajst-5639	72	4	component	component	NOUN
ajst-5639	72	5	the	the	DET
ajst-5639	72	6	correlation	correlation	NOUN
ajst-5639	72	7	coefficient	coefficient	NOUN
ajst-5639	72	8	of	of	ADP
ajst-5639	72	9	each	each	DET
ajst-5639	72	10	imf	imf	PROPN
ajst-5639	72	11	component	component	NOUN
ajst-5639	72	12	with	with	ADP
ajst-5639	72	13	the	the	DET
ajst-5639	72	14	original	original	ADJ
ajst-5639	72	15	vibration	vibration	NOUN
ajst-5639	72	16	data	datum	NOUN
ajst-5639	72	17	is	be	AUX
ajst-5639	72	18	calculated	calculate	VERB
ajst-5639	72	19	using	use	VERB
ajst-5639	72	20	equation	equation	NOUN
ajst-5639	72	21	(	(	PUNCT
ajst-5639	72	22	9the	9the	DET
ajst-5639	72	23	236	236	NUM
ajst-5639	72	24	results	result	NOUN
ajst-5639	72	25	are	be	AUX
ajst-5639	72	26	shown	show	VERB
ajst-5639	72	27	in	in	ADP
ajst-5639	72	28	table	table	NOUN
ajst-5639	72	29	1	1	NUM
ajst-5639	72	30	.	.	PUNCT
ajst-5639	73	1	in	in	ADP
ajst-5639	73	2	the	the	DET
ajst-5639	73	3	formula	formula	NOUN
ajst-5639	73	4	,	,	PUNCT
ajst-5639	73	5	represents	represent	VERB
ajst-5639	73	6	each	each	DET
ajst-5639	73	7	imf	imf	PROPN
ajst-5639	73	8	component	component	NOUN
ajst-5639	73	9	,	,	PUNCT
ajst-5639	73	10	and	and	CCONJ
ajst-5639	73	11	y	y	PROPN
ajst-5639	73	12	represents	represent	VERB
ajst-5639	73	13	the	the	DET
ajst-5639	73	14	original	original	ADJ
ajst-5639	73	15	vibration	vibration	NOUN
ajst-5639	73	16	signal	signal	NOUN
ajst-5639	73	17	.	.	PUNCT
ajst-5639	74	1	table	table	NOUN
ajst-5639	74	2	1	1	NUM
ajst-5639	74	3	.	.	PUNCT
ajst-5639	74	4	table	table	NOUN
ajst-5639	74	5	of	of	ADP
ajst-5639	74	6	correlation	correlation	NOUN
ajst-5639	74	7	coefficients	coefficient	NOUN
ajst-5639	74	8	of	of	ADP
ajst-5639	74	9	each	each	DET
ajst-5639	74	10	imf	imf	PROPN
ajst-5639	74	11	component	component	NOUN
ajst-5639	74	12	modal	modal	NOUN
ajst-5639	74	13	components	component	NOUN
ajst-5639	75	1	imf1	imf1	PROPN
ajst-5639	75	2	imf2	imf2	VERB
ajst-5639	75	3	imf3	imf3	PROPN
ajst-5639	75	4	imf4	imf4	PROPN
ajst-5639	75	5	imf5	imf5	PROPN
ajst-5639	75	6	0.0499	0.0499	NUM
ajst-5639	75	7	0.0847	0.0847	NUM
ajst-5639	75	8	0.2819	0.2819	NUM
ajst-5639	75	9	0.3872	0.3872	NUM
ajst-5639	75	10	0.3725	0.3725	NUM
ajst-5639	75	11	modal	modal	ADJ
ajst-5639	75	12	components	component	NOUN
ajst-5639	75	13	imf6	imf6	PROPN
ajst-5639	75	14	imf7	imf7	PROPN
ajst-5639	75	15	imf8	imf8	PROPN
ajst-5639	75	16	imf9	imf9	VERB
ajst-5639	75	17	imf10	imf10	VERB
ajst-5639	75	18	0.5355	0.5355	NUM
ajst-5639	75	19	0.5754	0.5754	NUM
ajst-5639	75	20	0.4712	0.4712	NUM
ajst-5639	75	21	0.0797	0.0797	NUM
ajst-5639	75	22	0.0809	0.0809	NUM
ajst-5639	76	1	it	it	PRON
ajst-5639	76	2	can	can	AUX
ajst-5639	76	3	be	be	AUX
ajst-5639	76	4	seen	see	VERB
ajst-5639	76	5	from	from	ADP
ajst-5639	76	6	table	table	NOUN
ajst-5639	76	7	1	1	NUM
ajst-5639	76	8	that	that	SCONJ
ajst-5639	76	9	the	the	DET
ajst-5639	76	10	correlation	correlation	NOUN
ajst-5639	76	11	coefficients	coefficient	NOUN
ajst-5639	76	12	of	of	ADP
ajst-5639	76	13	each	each	DET
ajst-5639	76	14	imf	imf	PROPN
ajst-5639	76	15	component	component	NOUN
ajst-5639	76	16	and	and	CCONJ
ajst-5639	76	17	the	the	DET
ajst-5639	76	18	original	original	ADJ
ajst-5639	76	19	signal	signal	NOUN
ajst-5639	76	20	are	be	AUX
ajst-5639	76	21	quite	quite	ADV
ajst-5639	76	22	different	different	ADJ
ajst-5639	76	23	.	.	PUNCT
ajst-5639	77	1	among	among	ADP
ajst-5639	77	2	them	they	PRON
ajst-5639	77	3	,	,	PUNCT
ajst-5639	77	4	the	the	DET
ajst-5639	77	5	correlation	correlation	NOUN
ajst-5639	77	6	coefficients	coefficient	NOUN
ajst-5639	77	7	of	of	ADP
ajst-5639	77	8	imf	imf	PROPN
ajst-5639	77	9	3	3	NUM
ajst-5639	77	10	,	,	PUNCT
ajst-5639	77	11	imf4	imf4	PROPN
ajst-5639	77	12	,	,	PUNCT
ajst-5639	77	13	imf5	imf5	PROPN
ajst-5639	77	14	,	,	PUNCT
ajst-5639	77	15	imf5	imf5	PROPN
ajst-5639	77	16	,	,	PUNCT
ajst-5639	77	17	imf6	imf6	PROPN
ajst-5639	77	18	,	,	PUNCT
ajst-5639	77	19	imf7	imf7	PROPN
ajst-5639	77	20	and	and	CCONJ
ajst-5639	77	21	imf	imf	PROPN
ajst-5639	77	22	8	8	NUM
ajst-5639	77	23	are	be	AUX
ajst-5639	77	24	all	all	ADV
ajst-5639	77	25	greater	great	ADJ
ajst-5639	77	26	than	than	ADP
ajst-5639	77	27	0.2	0.2	NUM
ajst-5639	77	28	,	,	PUNCT
ajst-5639	77	29	which	which	PRON
ajst-5639	77	30	shows	show	VERB
ajst-5639	77	31	that	that	SCONJ
ajst-5639	77	32	they	they	PRON
ajst-5639	77	33	are	be	AUX
ajst-5639	77	34	the	the	DET
ajst-5639	77	35	dominant	dominant	ADJ
ajst-5639	77	36	imf	imf	PROPN
ajst-5639	77	37	components	component	NOUN
ajst-5639	77	38	.	.	PUNCT
ajst-5639	78	1	however	however	ADV
ajst-5639	78	2	,	,	PUNCT
ajst-5639	78	3	the	the	DET
ajst-5639	78	4	coefficients	coefficient	NOUN
ajst-5639	78	5	of	of	ADP
ajst-5639	78	6	imf	imf	PROPN
ajst-5639	78	7	1	1	NUM
ajst-5639	78	8	,	,	PUNCT
ajst-5639	78	9	imf	imf	PROPN
ajst-5639	78	10	2	2	NUM
ajst-5639	78	11	,	,	PUNCT
ajst-5639	78	12	imf	imf	PROPN
ajst-5639	78	13	9	9	NUM
ajst-5639	78	14	and	and	CCONJ
ajst-5639	78	15	imf	imf	PROPN
ajst-5639	78	16	10	10	NUM
ajst-5639	78	17	are	be	AUX
ajst-5639	78	18	all	all	ADV
ajst-5639	78	19	less	less	ADJ
ajst-5639	78	20	than	than	ADP
ajst-5639	78	21	0.09	0.09	NUM
ajst-5639	78	22	,	,	PUNCT
ajst-5639	78	23	and	and	CCONJ
ajst-5639	78	24	it	it	PRON
ajst-5639	78	25	is	be	AUX
ajst-5639	78	26	preliminarily	preliminarily	ADV
ajst-5639	78	27	determined	determine	VERB
ajst-5639	78	28	that	that	SCONJ
ajst-5639	78	29	these	these	DET
ajst-5639	78	30	four	four	NUM
ajst-5639	78	31	imf	imf	PROPN
ajst-5639	78	32	components	component	NOUN
ajst-5639	78	33	contain	contain	VERB
ajst-5639	78	34	more	more	ADJ
ajst-5639	78	35	noise	noise	NOUN
ajst-5639	78	36	signals	signal	NOUN
ajst-5639	78	37	.	.	PUNCT
ajst-5639	79	1	and	and	CCONJ
ajst-5639	79	2	performing	perform	VERB
ajst-5639	79	3	savitzky	savitzky	NOUN
ajst-5639	79	4	-	-	PUNCT
ajst-5639	79	5	golay	golay	NOUN
ajst-5639	79	6	smoothing	smooth	VERB
ajst-5639	79	7	filtering	filter	VERB
ajst-5639	79	8	on	on	ADP
ajst-5639	79	9	the	the	DET
ajst-5639	79	10	imf	imf	PROPN
ajst-5639	79	11	1	1	NUM
ajst-5639	79	12	,	,	PUNCT
ajst-5639	79	13	the	the	DET
ajst-5639	79	14	imf	imf	PROPN
ajst-5639	79	15	2	2	NUM
ajst-5639	79	16	,	,	PUNCT
ajst-5639	79	17	the	the	DET
ajst-5639	79	18	imf	imf	PROPN
ajst-5639	79	19	9	9	NUM
ajst-5639	79	20	and	and	CCONJ
ajst-5639	79	21	the	the	DET
ajst-5639	79	22	imf	imf	PROPN
ajst-5639	79	23	10	10	NUM
ajst-5639	79	24	,	,	PUNCT
ajst-5639	79	25	and	and	CCONJ
ajst-5639	79	26	reconstructing	reconstruct	VERB
ajst-5639	79	27	the	the	DET
ajst-5639	79	28	denoised	denoise	VERB
ajst-5639	79	29	four	four	NUM
ajst-5639	79	30	components	component	NOUN
ajst-5639	79	31	and	and	CCONJ
ajst-5639	79	32	other	other	ADJ
ajst-5639	79	33	imf	imf	PROPN
ajst-5639	79	34	components	component	NOUN
ajst-5639	79	35	to	to	PART
ajst-5639	79	36	obtain	obtain	VERB
ajst-5639	79	37	a	a	DET
ajst-5639	79	38	denoised	denoise	VERB
ajst-5639	79	39	signal	signal	NOUN
ajst-5639	79	40	.	.	PUNCT
ajst-5639	80	1	fig	fig	NOUN
ajst-5639	80	2	.	.	PUNCT
ajst-5639	81	1	5	5	NUM
ajst-5639	81	2	is	be	AUX
ajst-5639	81	3	a	a	DET
ajst-5639	81	4	waveform	waveform	NOUN
ajst-5639	81	5	diagram	diagram	NOUN
ajst-5639	81	6	of	of	ADP
ajst-5639	81	7	a	a	DET
ajst-5639	81	8	vibration	vibration	NOUN
ajst-5639	81	9	signal	signal	NOUN
ajst-5639	81	10	after	after	ADP
ajst-5639	81	11	noise	noise	NOUN
ajst-5639	81	12	reduction	reduction	NOUN
ajst-5639	81	13	.	.	PUNCT
ajst-5639	82	1	figure	figure	NOUN
ajst-5639	82	2	5	5	NUM
ajst-5639	82	3	.	.	PUNCT
ajst-5639	82	4	vibration	vibration	NOUN
ajst-5639	82	5	signal	signal	NOUN
ajst-5639	82	6	waveform	waveform	VERB
ajst-5639	82	7	after	after	ADP
ajst-5639	82	8	noise	noise	NOUN
ajst-5639	82	9	reduction	reduction	NOUN
ajst-5639	82	10	it	it	PRON
ajst-5639	82	11	can	can	AUX
ajst-5639	82	12	be	be	AUX
ajst-5639	82	13	seen	see	VERB
ajst-5639	82	14	from	from	ADP
ajst-5639	82	15	fig	fig	NOUN
ajst-5639	82	16	.	.	PUNCT
ajst-5639	83	1	1	1	NUM
ajst-5639	83	2	and	and	CCONJ
ajst-5639	83	3	fig	fig	NOUN
ajst-5639	83	4	.	.	PUNCT
ajst-5639	84	1	3	3	NUM
ajst-5639	84	2	that	that	PRON
ajst-5639	84	3	the	the	DET
ajst-5639	84	4	pure	pure	ADJ
ajst-5639	84	5	signal	signal	NOUN
ajst-5639	84	6	after	after	ADP
ajst-5639	84	7	noise	noise	NOUN
ajst-5639	84	8	reduction	reduction	NOUN
ajst-5639	84	9	and	and	CCONJ
ajst-5639	84	10	the	the	DET
ajst-5639	84	11	original	original	ADJ
ajst-5639	84	12	signal	signal	NOUN
ajst-5639	84	13	without	without	ADP
ajst-5639	84	14	processing	processing	NOUN
ajst-5639	84	15	have	have	VERB
ajst-5639	84	16	a	a	DET
ajst-5639	84	17	high	high	ADJ
ajst-5639	84	18	degree	degree	NOUN
ajst-5639	84	19	of	of	ADP
ajst-5639	84	20	coincidence	coincidence	NOUN
ajst-5639	84	21	in	in	ADP
ajst-5639	84	22	signal	signal	NOUN
ajst-5639	84	23	peak	peak	NOUN
ajst-5639	84	24	value	value	NOUN
ajst-5639	84	25	and	and	CCONJ
ajst-5639	84	26	local	local	ADJ
ajst-5639	84	27	waveform	waveform	NOUN
ajst-5639	84	28	characteristics	characteristic	NOUN
ajst-5639	84	29	;	;	PUNCT
ajst-5639	84	30	in	in	ADP
ajst-5639	84	31	order	order	NOUN
ajst-5639	84	32	to	to	PART
ajst-5639	84	33	further	far	ADV
ajst-5639	84	34	verify	verify	VERB
ajst-5639	84	35	the	the	DET
ajst-5639	84	36	similarity	similarity	NOUN
ajst-5639	84	37	between	between	ADP
ajst-5639	84	38	the	the	DET
ajst-5639	84	39	signal	signal	NOUN
ajst-5639	84	40	after	after	ADP
ajst-5639	84	41	vmd	vmd	PROPN
ajst-5639	84	42	-	-	PUNCT
ajst-5639	84	43	sd	sd	NOUN
ajst-5639	84	44	noise	noise	NOUN
ajst-5639	84	45	reduction	reduction	NOUN
ajst-5639	84	46	and	and	CCONJ
ajst-5639	84	47	the	the	DET
ajst-5639	84	48	original	original	ADJ
ajst-5639	84	49	signal	signal	NOUN
ajst-5639	84	50	,	,	PUNCT
ajst-5639	84	51	the	the	DET
ajst-5639	84	52	correlation	correlation	NOUN
ajst-5639	84	53	coefficients	coefficient	NOUN
ajst-5639	84	54	of	of	ADP
ajst-5639	84	55	10	10	NUM
ajst-5639	84	56	types	type	NOUN
ajst-5639	84	57	of	of	ADP
ajst-5639	84	58	two	two	NUM
ajst-5639	84	59	signals	signal	NOUN
ajst-5639	84	60	in	in	ADP
ajst-5639	84	61	the	the	DET
ajst-5639	84	62	experiment	experiment	NOUN
ajst-5639	84	63	are	be	AUX
ajst-5639	84	64	calculated	calculate	VERB
ajst-5639	84	65	,	,	PUNCT
ajst-5639	84	66	and	and	CCONJ
ajst-5639	84	67	the	the	DET
ajst-5639	84	68	results	result	NOUN
ajst-5639	84	69	are	be	AUX
ajst-5639	84	70	shown	show	VERB
ajst-5639	84	71	in	in	ADP
ajst-5639	84	72	table	table	NOUN
ajst-5639	84	73	2	2	NUM
ajst-5639	84	74	.	.	PUNCT
ajst-5639	84	75	table	table	NOUN
ajst-5639	84	76	2	2	NUM
ajst-5639	84	77	.	.	PUNCT
ajst-5639	84	78	table	table	NOUN
ajst-5639	84	79	of	of	ADP
ajst-5639	84	80	correlation	correlation	NOUN
ajst-5639	84	81	coefficients	coefficient	NOUN
ajst-5639	84	82	between	between	ADP
ajst-5639	84	83	various	various	ADJ
ajst-5639	84	84	health	health	NOUN
ajst-5639	84	85	states	state	NOUN
ajst-5639	84	86	and	and	CCONJ
ajst-5639	84	87	original	original	ADJ
ajst-5639	84	88	signals	signal	NOUN
ajst-5639	84	89	after	after	ADP
ajst-5639	84	90	noise	noise	NOUN
ajst-5639	84	91	reduction	reduction	NOUN
ajst-5639	84	92	signal	signal	NOUN
ajst-5639	84	93	type	type	NOUN
ajst-5639	84	94	b0.18	b0.18	PROPN
ajst-5639	84	95	b0.36	b0.36	NOUN
ajst-5639	84	96	b0.54	b0.54	PROPN
ajst-5639	84	97	i0.18	i0.18	PROPN
ajst-5639	84	98	i0.36	i0.36	PROPN
ajst-5639	84	99	0.9793	0.9793	NUM
ajst-5639	84	100	0.9791	0.9791	NUM
ajst-5639	84	101	0.9884	0.9884	NUM
ajst-5639	84	102	0.9885	0.9885	NUM
ajst-5639	84	103	0.9708	0.9708	NUM
ajst-5639	84	104	signal	signal	ADJ
ajst-5639	84	105	type	type	NOUN
ajst-5639	84	106	i0.54	i0.54	PROPN
ajst-5639	84	107	normal	normal	ADJ
ajst-5639	84	108	o0.18	o0.18	PROPN
ajst-5639	84	109	o0.36	o0.36	PROPN
ajst-5639	84	110	o0.54	o0.54	PROPN
ajst-5639	84	111	0.9584	0.9584	NUM
ajst-5639	84	112	0.9892	0.9892	NUM
ajst-5639	84	113	0.9894	0.9894	NUM
ajst-5639	84	114	0.9664	0.9664	NUM
ajst-5639	84	115	0.9777	0.9777	NUM
ajst-5639	84	116	it	it	PRON
ajst-5639	84	117	can	can	AUX
ajst-5639	84	118	be	be	AUX
ajst-5639	84	119	seen	see	VERB
ajst-5639	84	120	that	that	SCONJ
ajst-5639	84	121	the	the	DET
ajst-5639	84	122	two	two	NUM
ajst-5639	84	123	kinds	kind	NOUN
ajst-5639	84	124	of	of	ADP
ajst-5639	84	125	data	datum	NOUN
ajst-5639	84	126	still	still	ADV
ajst-5639	84	127	have	have	VERB
ajst-5639	84	128	a	a	DET
ajst-5639	84	129	high	high	ADJ
ajst-5639	84	130	correlation	correlation	NOUN
ajst-5639	84	131	after	after	ADP
ajst-5639	84	132	vmd	vmd	PROPN
ajst-5639	84	133	-	-	PUNCT
ajst-5639	84	134	sg	sg	PROPN
ajst-5639	84	135	noise	noise	NOUN
ajst-5639	84	136	reduction	reduction	NOUN
ajst-5639	84	137	.	.	PUNCT
ajst-5639	85	1	4.2	4.2	NUM
ajst-5639	85	2	.	.	PUNCT
ajst-5639	86	1	conversion	conversion	NOUN
ajst-5639	86	2	to	to	ADP
ajst-5639	86	3	grayscale	grayscale	NOUN
ajst-5639	86	4	image	image	NOUN
ajst-5639	86	5	the	the	DET
ajst-5639	86	6	vibration	vibration	NOUN
ajst-5639	86	7	signal	signal	NOUN
ajst-5639	86	8	denoised	denoise	VERB
ajst-5639	86	9	by	by	ADP
ajst-5639	86	10	vmd	vmd	PROPN
ajst-5639	86	11	-	-	PROPN
ajst-5639	86	12	sg	sg	PROPN
ajst-5639	86	13	is	be	AUX
ajst-5639	86	14	converted	convert	VERB
ajst-5639	86	15	into	into	ADP
ajst-5639	86	16	a	a	DET
ajst-5639	86	17	two	two	NUM
ajst-5639	86	18	-	-	PUNCT
ajst-5639	86	19	dimensional	dimensional	ADJ
ajst-5639	86	20	grayscale	grayscale	NOUN
ajst-5639	86	21	image	image	NOUN
ajst-5639	86	22	by	by	ADP
ajst-5639	86	23	using	use	VERB
ajst-5639	86	24	the	the	DET
ajst-5639	86	25	method	method	NOUN
ajst-5639	86	26	mentioned	mention	VERB
ajst-5639	86	27	in	in	ADP
ajst-5639	86	28	the	the	DET
ajst-5639	86	29	previous	previous	ADJ
ajst-5639	86	30	section	section	NOUN
ajst-5639	86	31	.	.	PUNCT
ajst-5639	87	1	each	each	DET
ajst-5639	87	2	state	state	NOUN
ajst-5639	87	3	contains	contain	VERB
ajst-5639	87	4	500	500	NUM
ajst-5639	87	5	image	image	NOUN
ajst-5639	87	6	samples	sample	NOUN
ajst-5639	87	7	with	with	ADP
ajst-5639	87	8	a	a	DET
ajst-5639	87	9	size	size	NOUN
ajst-5639	87	10	of	of	ADP
ajst-5639	87	11	64	64	NUM
ajst-5639	87	12	*	*	SYM
ajst-5639	87	13	64	64	NUM
ajst-5639	87	14	.	.	PUNCT
ajst-5639	88	1	finally	finally	ADV
ajst-5639	88	2	,	,	PUNCT
ajst-5639	88	3	a	a	DET
ajst-5639	88	4	data	datum	NOUN
ajst-5639	88	5	set	set	VERB
ajst-5639	88	6	with	with	ADP
ajst-5639	88	7	5000	5000	NUM
ajst-5639	88	8	image	image	NOUN
ajst-5639	88	9	samples	sample	NOUN
ajst-5639	88	10	is	be	AUX
ajst-5639	88	11	obtained	obtain	VERB
ajst-5639	88	12	.	.	PUNCT
ajst-5639	89	1	the	the	DET
ajst-5639	89	2	grayscale	grayscale	NOUN
ajst-5639	89	3	images	image	NOUN
ajst-5639	89	4	of	of	ADP
ajst-5639	89	5	various	various	ADJ
ajst-5639	89	6	types	type	NOUN
ajst-5639	89	7	are	be	AUX
ajst-5639	89	8	shown	show	VERB
ajst-5639	89	9	in	in	ADP
ajst-5639	89	10	figure	figure	NOUN
ajst-5639	89	11	6	6	NUM
ajst-5639	89	12	.	.	PUNCT
ajst-5639	89	13	figure	figure	VERB
ajst-5639	89	14	6	6	NUM
ajst-5639	89	15	.	.	PUNCT
ajst-5639	89	16	gray	gray	ADJ
ajst-5639	89	17	-	-	PUNCT
ajst-5639	89	18	scale	scale	NOUN
ajst-5639	89	19	maps	map	NOUN
ajst-5639	89	20	of	of	ADP
ajst-5639	89	21	health	health	NOUN
ajst-5639	89	22	states	state	NOUN
ajst-5639	89	23	in	in	ADP
ajst-5639	89	24	figure	figure	NOUN
ajst-5639	89	25	6	6	NUM
ajst-5639	89	26	and	and	CCONJ
ajst-5639	89	27	10	10	NUM
ajst-5639	89	28	90	90	NUM
ajst-5639	89	29	%	%	NOUN
ajst-5639	89	30	of	of	ADP
ajst-5639	89	31	the	the	DET
ajst-5639	89	32	images	image	NOUN
ajst-5639	89	33	were	be	AUX
ajst-5639	89	34	randomly	randomly	ADV
ajst-5639	89	35	selected	select	VERB
ajst-5639	89	36	as	as	ADP
ajst-5639	89	37	the	the	DET
ajst-5639	89	38	training	training	NOUN
ajst-5639	89	39	set	set	NOUN
ajst-5639	89	40	,	,	PUNCT
ajst-5639	89	41	and	and	CCONJ
ajst-5639	89	42	the	the	DET
ajst-5639	89	43	remaining	remain	VERB
ajst-5639	89	44	10	10	NUM
ajst-5639	89	45	%	%	NOUN
ajst-5639	89	46	of	of	ADP
ajst-5639	89	47	the	the	DET
ajst-5639	89	48	samples	sample	NOUN
ajst-5639	89	49	were	be	AUX
ajst-5639	89	50	used	use	VERB
ajst-5639	89	51	as	as	ADP
ajst-5639	89	52	the	the	DET
ajst-5639	89	53	237	237	NUM
ajst-5639	89	54	test	test	NOUN
ajst-5639	89	55	set	set	VERB
ajst-5639	89	56	to	to	PART
ajst-5639	89	57	verify	verify	VERB
ajst-5639	89	58	the	the	DET
ajst-5639	89	59	performance	performance	NOUN
ajst-5639	89	60	of	of	ADP
ajst-5639	89	61	the	the	DET
ajst-5639	89	62	model	model	NOUN
ajst-5639	89	63	,	,	PUNCT
ajst-5639	89	64	that	that	ADV
ajst-5639	89	65	is	is	ADV
ajst-5639	89	66	,	,	PUNCT
ajst-5639	89	67	4500	4500	NUM
ajst-5639	89	68	images	image	NOUN
ajst-5639	89	69	were	be	AUX
ajst-5639	89	70	used	use	VERB
ajst-5639	89	71	as	as	ADP
ajst-5639	89	72	the	the	DET
ajst-5639	89	73	training	training	NOUN
ajst-5639	89	74	set	set	NOUN
ajst-5639	89	75	and	and	CCONJ
ajst-5639	89	76	500	500	NUM
ajst-5639	89	77	images	image	NOUN
ajst-5639	89	78	as	as	ADP
ajst-5639	89	79	the	the	DET
ajst-5639	89	80	test	test	NOUN
ajst-5639	89	81	set	set	VERB
ajst-5639	89	82	.	.	PUNCT
ajst-5639	90	1	fig	fig	NOUN
ajst-5639	90	2	.	.	PUNCT
ajst-5639	91	1	7	7	NUM
ajst-5639	91	2	shows	show	VERB
ajst-5639	91	3	the	the	DET
ajst-5639	91	4	confusion	confusion	NOUN
ajst-5639	91	5	matrix	matrix	NOUN
ajst-5639	91	6	drawn	draw	VERB
ajst-5639	91	7	by	by	ADP
ajst-5639	91	8	the	the	DET
ajst-5639	91	9	diagnostic	diagnostic	ADJ
ajst-5639	91	10	model	model	NOUN
ajst-5639	91	11	for	for	ADP
ajst-5639	91	12	500	500	NUM
ajst-5639	91	13	images	image	NOUN
ajst-5639	91	14	in	in	ADP
ajst-5639	91	15	the	the	DET
ajst-5639	91	16	test	test	NOUN
ajst-5639	91	17	set	set	NOUN
ajst-5639	91	18	.	.	PUNCT
ajst-5639	92	1	it	it	PRON
ajst-5639	92	2	can	can	AUX
ajst-5639	92	3	be	be	AUX
ajst-5639	92	4	seen	see	VERB
ajst-5639	92	5	that	that	SCONJ
ajst-5639	92	6	only	only	ADV
ajst-5639	92	7	one	one	NUM
ajst-5639	92	8	image	image	NOUN
ajst-5639	92	9	is	be	AUX
ajst-5639	92	10	classified	classify	VERB
ajst-5639	92	11	incorrectly	incorrectly	ADV
ajst-5639	92	12	,	,	PUNCT
ajst-5639	92	13	that	that	ADV
ajst-5639	92	14	is	is	ADV
ajst-5639	92	15	,	,	PUNCT
ajst-5639	92	16	the	the	DET
ajst-5639	92	17	real	real	ADJ
ajst-5639	92	18	label	label	NOUN
ajst-5639	92	19	is	be	AUX
ajst-5639	92	20	ir0.18	ir0.18	NOUN
ajst-5639	92	21	and	and	CCONJ
ajst-5639	92	22	classified	classify	VERB
ajst-5639	92	23	as	as	ADP
ajst-5639	92	24	re0.18	re0.18	NOUN
ajst-5639	92	25	,	,	PUNCT
ajst-5639	92	26	and	and	CCONJ
ajst-5639	92	27	the	the	DET
ajst-5639	92	28	rest	rest	NOUN
ajst-5639	92	29	are	be	AUX
ajst-5639	92	30	classified	classify	VERB
ajst-5639	92	31	correctly	correctly	ADV
ajst-5639	92	32	,	,	PUNCT
ajst-5639	92	33	with	with	ADP
ajst-5639	92	34	an	an	DET
ajst-5639	92	35	accuracy	accuracy	NOUN
ajst-5639	92	36	rate	rate	NOUN
ajst-5639	92	37	of	of	ADP
ajst-5639	92	38	99.8	99.8	NUM
ajst-5639	92	39	%	%	NOUN
ajst-5639	92	40	.	.	PUNCT
ajst-5639	93	1	figure	figure	NOUN
ajst-5639	93	2	7	7	NUM
ajst-5639	93	3	.	.	PUNCT
ajst-5639	93	4	model	model	NOUN
ajst-5639	93	5	confusion	confusion	NOUN
ajst-5639	93	6	matrix	matrix	NOUN
ajst-5639	93	7	of	of	ADP
ajst-5639	93	8	vmd	vmd	PROPN
ajst-5639	93	9	-	-	PUNCT
ajst-5639	93	10	sg	sg	NOUN
ajst-5639	93	11	-	-	PUNCT
ajst-5639	93	12	resnet	resnet	NOUN
ajst-5639	93	13	in	in	ADP
ajst-5639	93	14	order	order	NOUN
ajst-5639	93	15	to	to	PART
ajst-5639	93	16	better	well	ADV
ajst-5639	93	17	observe	observe	VERB
ajst-5639	93	18	the	the	DET
ajst-5639	93	19	experimental	experimental	ADJ
ajst-5639	93	20	results	result	NOUN
ajst-5639	93	21	,	,	PUNCT
ajst-5639	93	22	500	500	NUM
ajst-5639	93	23	groups	group	NOUN
ajst-5639	93	24	of	of	ADP
ajst-5639	93	25	test	test	NOUN
ajst-5639	93	26	image	image	NOUN
ajst-5639	93	27	data	datum	NOUN
ajst-5639	93	28	were	be	AUX
ajst-5639	93	29	input	input	VERB
ajst-5639	93	30	into	into	ADP
ajst-5639	93	31	resnet	resnet	NOUN
ajst-5639	93	32	and	and	CCONJ
ajst-5639	93	33	vmdsg	vmdsg	NOUN
ajst-5639	93	34	-	-	PUNCT
ajst-5639	93	35	alexnet	alexnet	NOUN
ajst-5639	93	36	for	for	ADP
ajst-5639	93	37	comparative	comparative	ADJ
ajst-5639	93	38	experiments	experiment	NOUN
ajst-5639	93	39	.	.	PUNCT
ajst-5639	94	1	the	the	DET
ajst-5639	94	2	diagnosis	diagnosis	NOUN
ajst-5639	94	3	results	result	NOUN
ajst-5639	94	4	are	be	AUX
ajst-5639	94	5	shown	show	VERB
ajst-5639	94	6	in	in	ADP
ajst-5639	94	7	figure	figure	NOUN
ajst-5639	94	8	8	8	NUM
ajst-5639	94	9	and	and	CCONJ
ajst-5639	94	10	figure	figure	VERB
ajst-5639	94	11	9	9	NUM
ajst-5639	94	12	.	.	PUNCT
ajst-5639	94	13	figure	figure	NOUN
ajst-5639	94	14	8	8	NUM
ajst-5639	94	15	.	.	PUNCT
ajst-5639	94	16	resnet	resnet	NOUN
ajst-5639	94	17	model	model	NOUN
ajst-5639	94	18	confusion	confusion	NOUN
ajst-5639	94	19	matrix	matrix	NOUN
ajst-5639	94	20	figure	figure	NOUN
ajst-5639	94	21	9	9	NUM
ajst-5639	94	22	.	.	PUNCT
ajst-5639	94	23	vmd	vmd	PROPN
ajst-5639	94	24	-	-	PUNCT
ajst-5639	94	25	sg	sg	ADP
ajst-5639	94	26	-	-	PUNCT
ajst-5639	94	27	alexnet	alexnet	NOUN
ajst-5639	94	28	model	model	NOUN
ajst-5639	94	29	confusion	confusion	NOUN
ajst-5639	94	30	matrix	matrix	NOUN
ajst-5639	94	31	it	it	PRON
ajst-5639	94	32	can	can	AUX
ajst-5639	94	33	be	be	AUX
ajst-5639	94	34	seen	see	VERB
ajst-5639	94	35	from	from	ADP
ajst-5639	94	36	figure	figure	NOUN
ajst-5639	94	37	8	8	NUM
ajst-5639	94	38	that	that	SCONJ
ajst-5639	94	39	resnet	resnet	NOUN
ajst-5639	94	40	has	have	VERB
ajst-5639	94	41	16	16	NUM
ajst-5639	94	42	image	image	NOUN
ajst-5639	94	43	diagnosis	diagnosis	NOUN
ajst-5639	94	44	errors	error	NOUN
ajst-5639	94	45	,	,	PUNCT
ajst-5639	94	46	and	and	CCONJ
ajst-5639	94	47	the	the	DET
ajst-5639	94	48	rest	rest	NOUN
ajst-5639	94	49	are	be	AUX
ajst-5639	94	50	correct	correct	ADJ
ajst-5639	94	51	,	,	PUNCT
ajst-5639	94	52	with	with	ADP
ajst-5639	94	53	an	an	DET
ajst-5639	94	54	accuracy	accuracy	NOUN
ajst-5639	94	55	rate	rate	NOUN
ajst-5639	94	56	of	of	ADP
ajst-5639	94	57	96.8	96.8	NUM
ajst-5639	94	58	%	%	NOUN
ajst-5639	94	59	.	.	PUNCT
ajst-5639	95	1	it	it	PRON
ajst-5639	95	2	can	can	AUX
ajst-5639	95	3	be	be	AUX
ajst-5639	95	4	seen	see	VERB
ajst-5639	95	5	from	from	ADP
ajst-5639	95	6	figure	figure	NOUN
ajst-5639	95	7	9	9	NUM
ajst-5639	95	8	that	that	SCONJ
ajst-5639	95	9	490	490	NUM
ajst-5639	95	10	images	image	NOUN
ajst-5639	95	11	of	of	ADP
ajst-5639	95	12	vmd	vmd	PROPN
ajst-5639	95	13	-	-	PUNCT
ajst-5639	95	14	sg	sg	PROPN
ajst-5639	95	15	-	-	PUNCT
ajst-5639	95	16	alexnet	alexnet	NOUN
ajst-5639	95	17	are	be	AUX
ajst-5639	95	18	correctly	correctly	ADV
ajst-5639	95	19	diagnosed	diagnose	VERB
ajst-5639	95	20	,	,	PUNCT
ajst-5639	95	21	10	10	NUM
ajst-5639	95	22	images	image	NOUN
ajst-5639	95	23	are	be	AUX
ajst-5639	95	24	incorrectly	incorrectly	ADV
ajst-5639	95	25	diagnosed	diagnose	VERB
ajst-5639	95	26	,	,	PUNCT
ajst-5639	95	27	and	and	CCONJ
ajst-5639	95	28	the	the	DET
ajst-5639	95	29	diagnostic	diagnostic	ADJ
ajst-5639	95	30	accuracy	accuracy	NOUN
ajst-5639	95	31	rate	rate	NOUN
ajst-5639	95	32	reaches	reach	VERB
ajst-5639	95	33	98	98	NUM
ajst-5639	95	34	%	%	NOUN
ajst-5639	95	35	.	.	PUNCT
ajst-5639	96	1	finally	finally	ADV
ajst-5639	96	2	,	,	PUNCT
ajst-5639	96	3	the	the	DET
ajst-5639	96	4	test	test	NOUN
ajst-5639	96	5	results	result	NOUN
ajst-5639	96	6	of	of	ADP
ajst-5639	96	7	the	the	DET
ajst-5639	96	8	above	above	ADJ
ajst-5639	96	9	three	three	NUM
ajst-5639	96	10	models	model	NOUN
ajst-5639	96	11	are	be	AUX
ajst-5639	96	12	shown	show	VERB
ajst-5639	96	13	in	in	ADP
ajst-5639	96	14	table	table	NOUN
ajst-5639	96	15	3	3	NUM
ajst-5639	96	16	.	.	PUNCT
ajst-5639	97	1	it	it	PRON
ajst-5639	97	2	is	be	AUX
ajst-5639	97	3	obvious	obvious	ADJ
ajst-5639	97	4	that	that	SCONJ
ajst-5639	97	5	the	the	DET
ajst-5639	97	6	rolling	rolling	ADJ
ajst-5639	97	7	bearing	bear	VERB
ajst-5639	97	8	diagnosis	diagnosis	NOUN
ajst-5639	97	9	effect	effect	NOUN
ajst-5639	97	10	of	of	ADP
ajst-5639	97	11	vmd	vmd	PROPN
ajst-5639	97	12	-	-	PUNCT
ajst-5639	97	13	sg	sg	PROPN
ajst-5639	97	14	-	-	PUNCT
ajst-5639	97	15	resnet	resnet	NOUN
ajst-5639	97	16	model	model	NOUN
ajst-5639	97	17	is	be	AUX
ajst-5639	97	18	better	well	ADJ
ajst-5639	97	19	than	than	ADP
ajst-5639	97	20	that	that	PRON
ajst-5639	97	21	of	of	ADP
ajst-5639	97	22	resnet	resnet	NOUN
ajst-5639	97	23	and	and	CCONJ
ajst-5639	97	24	vmd	vmd	PROPN
ajst-5639	97	25	-	-	PUNCT
ajst-5639	97	26	sg	sg	ADP
ajst-5639	97	27	-	-	PUNCT
ajst-5639	97	28	alexnet	alexnet	NOUN
ajst-5639	97	29	,	,	PUNCT
ajst-5639	97	30	with	with	ADP
ajst-5639	97	31	an	an	DET
ajst-5639	97	32	increase	increase	NOUN
ajst-5639	97	33	of	of	ADP
ajst-5639	97	34	3	3	NUM
ajst-5639	97	35	%	%	NOUN
ajst-5639	97	36	and	and	CCONJ
ajst-5639	97	37	1.8	1.8	NUM
ajst-5639	97	38	%	%	NOUN
ajst-5639	97	39	respectively	respectively	ADV
ajst-5639	97	40	.	.	PUNCT
ajst-5639	97	41	table	table	NOUN
ajst-5639	97	42	3	3	NUM
ajst-5639	97	43	.	.	PUNCT
ajst-5639	98	1	diagnostic	diagnostic	ADJ
ajst-5639	98	2	results	result	NOUN
ajst-5639	98	3	of	of	ADP
ajst-5639	98	4	each	each	DET
ajst-5639	98	5	model	model	NOUN
ajst-5639	98	6	diagnostic	diagnostic	ADJ
ajst-5639	98	7	method	method	NOUN
ajst-5639	98	8	correct	correct	ADJ
ajst-5639	98	9	diagnosis	diagnosis	NOUN
ajst-5639	98	10	/	/	SYM
ajst-5639	98	11	sheet	sheet	NOUN
ajst-5639	98	12	error	error	NOUN
ajst-5639	98	13	diagnosis	diagnosis	NOUN
ajst-5639	98	14	/	/	SYM
ajst-5639	98	15	sheet	sheet	NOUN
ajst-5639	98	16	accuracy/%	accuracy/%	X
ajst-5639	98	17	vmd	vmd	PROPN
ajst-5639	98	18	-	-	NOUN
ajst-5639	98	19	sgresnet	sgresnet	NOUN
ajst-5639	98	20	499	499	NUM
ajst-5639	98	21	1	1	NUM
ajst-5639	98	22	99.8	99.8	NUM
ajst-5639	98	23	resnet	resnet	NOUN
ajst-5639	98	24	484	484	NUM
ajst-5639	98	25	16	16	NUM
ajst-5639	98	26	96.8	96.8	NUM
ajst-5639	98	27	vmd	vmd	NOUN
ajst-5639	98	28	-	-	NOUN
ajst-5639	98	29	sgalexnet	sgalexnet	NOUN
ajst-5639	98	30	490	490	NUM
ajst-5639	98	31	10	10	NUM
ajst-5639	98	32	98	98	NUM
ajst-5639	98	33	5	5	NUM
ajst-5639	98	34	.	.	PUNCT
ajst-5639	98	35	conclusion	conclusion	NOUN
ajst-5639	98	36	in	in	ADP
ajst-5639	98	37	this	this	DET
ajst-5639	98	38	paper	paper	NOUN
ajst-5639	98	39	,	,	PUNCT
ajst-5639	98	40	a	a	DET
ajst-5639	98	41	rolling	rolling	ADJ
ajst-5639	98	42	bearing	bear	VERB
ajst-5639	98	43	fault	fault	NOUN
ajst-5639	98	44	diagnosis	diagnosis	NOUN
ajst-5639	98	45	method	method	NOUN
ajst-5639	98	46	based	base	VERB
ajst-5639	98	47	on	on	ADP
ajst-5639	98	48	vmd	vmd	PROPN
ajst-5639	98	49	-	-	PUNCT
ajst-5639	98	50	sg	sg	NOUN
ajst-5639	98	51	-	-	PUNCT
ajst-5639	98	52	resnet	resnet	NOUN
ajst-5639	98	53	is	be	AUX
ajst-5639	98	54	proposed	propose	VERB
ajst-5639	98	55	.	.	PUNCT
ajst-5639	99	1	the	the	DET
ajst-5639	99	2	original	original	ADJ
ajst-5639	99	3	vibration	vibration	NOUN
ajst-5639	99	4	data	datum	NOUN
ajst-5639	99	5	is	be	AUX
ajst-5639	99	6	decomposed	decompose	VERB
ajst-5639	99	7	and	and	CCONJ
ajst-5639	99	8	denoised	denoise	VERB
ajst-5639	99	9	by	by	ADP
ajst-5639	99	10	using	use	VERB
ajst-5639	99	11	variational	variational	ADJ
ajst-5639	99	12	modal	modal	ADJ
ajst-5639	99	13	decomposition	decomposition	NOUN
ajst-5639	99	14	and	and	CCONJ
ajst-5639	99	15	savitzky	savitzky	NOUN
ajst-5639	99	16	-	-	PUNCT
ajst-5639	99	17	golay	golay	NOUN
ajst-5639	99	18	filter	filter	NOUN
ajst-5639	99	19	.	.	PUNCT
ajst-5639	100	1	the	the	DET
ajst-5639	100	2	denoising	denoising	NOUN
ajst-5639	100	3	method	method	NOUN
ajst-5639	100	4	not	not	PART
ajst-5639	100	5	only	only	ADV
ajst-5639	100	6	eliminates	eliminate	VERB
ajst-5639	100	7	the	the	DET
ajst-5639	100	8	noise	noise	NOUN
ajst-5639	100	9	,	,	PUNCT
ajst-5639	100	10	but	but	CCONJ
ajst-5639	100	11	also	also	ADV
ajst-5639	100	12	effectively	effectively	ADV
ajst-5639	100	13	retains	retain	VERB
ajst-5639	100	14	the	the	DET
ajst-5639	100	15	feature	feature	NOUN
ajst-5639	100	16	information	information	NOUN
ajst-5639	100	17	in	in	ADP
ajst-5639	100	18	the	the	DET
ajst-5639	100	19	original	original	ADJ
ajst-5639	100	20	signal	signal	NOUN
ajst-5639	100	21	,	,	PUNCT
ajst-5639	100	22	which	which	PRON
ajst-5639	100	23	lays	lay	VERB
ajst-5639	100	24	the	the	DET
ajst-5639	100	25	foundation	foundation	NOUN
ajst-5639	100	26	for	for	ADP
ajst-5639	100	27	the	the	DET
ajst-5639	100	28	subsequent	subsequent	ADJ
ajst-5639	100	29	fault	fault	NOUN
ajst-5639	100	30	diagnosis	diagnosis	NOUN
ajst-5639	100	31	.	.	PUNCT
ajst-5639	101	1	the	the	DET
ajst-5639	101	2	one	one	NUM
ajst-5639	101	3	-	-	PUNCT
ajst-5639	101	4	dimensional	dimensional	ADJ
ajst-5639	101	5	time	time	NOUN
ajst-5639	101	6	series	series	NOUN
ajst-5639	101	7	data	datum	NOUN
ajst-5639	101	8	is	be	AUX
ajst-5639	101	9	converted	convert	VERB
ajst-5639	101	10	into	into	ADP
ajst-5639	101	11	a	a	DET
ajst-5639	101	12	twodimensional	twodimensional	ADJ
ajst-5639	101	13	grayscale	grayscale	NOUN
ajst-5639	101	14	image	image	NOUN
ajst-5639	101	15	,	,	PUNCT
ajst-5639	101	16	and	and	CCONJ
ajst-5639	101	17	the	the	DET
ajst-5639	101	18	resnet	resnet	NOUN
ajst-5639	101	19	network	network	NOUN
ajst-5639	101	20	is	be	AUX
ajst-5639	101	21	built	build	VERB
ajst-5639	101	22	to	to	PART
ajst-5639	101	23	extract	extract	VERB
ajst-5639	101	24	the	the	DET
ajst-5639	101	25	two	two	NUM
ajst-5639	101	26	-	-	PUNCT
ajst-5639	101	27	dimensional	dimensional	ADJ
ajst-5639	101	28	features	feature	NOUN
ajst-5639	101	29	of	of	ADP
ajst-5639	101	30	the	the	DET
ajst-5639	101	31	image	image	NOUN
ajst-5639	101	32	independently	independently	ADV
ajst-5639	101	33	,	,	PUNCT
ajst-5639	101	34	which	which	PRON
ajst-5639	101	35	further	far	ADV
ajst-5639	101	36	improves	improve	VERB
ajst-5639	101	37	the	the	DET
ajst-5639	101	38	diagnostic	diagnostic	ADJ
ajst-5639	101	39	accuracy	accuracy	NOUN
ajst-5639	101	40	of	of	ADP
ajst-5639	101	41	the	the	DET
ajst-5639	101	42	model	model	NOUN
ajst-5639	101	43	.	.	PUNCT
ajst-5639	102	1	through	through	ADP
ajst-5639	102	2	comparative	comparative	ADJ
ajst-5639	102	3	experiments	experiment	NOUN
ajst-5639	102	4	,	,	PUNCT
ajst-5639	102	5	the	the	DET
ajst-5639	102	6	diagnosis	diagnosis	NOUN
ajst-5639	102	7	accuracy	accuracy	NOUN
ajst-5639	102	8	and	and	CCONJ
ajst-5639	102	9	performance	performance	NOUN
ajst-5639	102	10	of	of	ADP
ajst-5639	102	11	the	the	DET
ajst-5639	102	12	vmd	vmd	PROPN
ajst-5639	102	13	-	-	PUNCT
ajst-5639	102	14	sg	sg	ADP
ajst-5639	102	15	-	-	PUNCT
ajst-5639	102	16	resnet	resnet	NOUN
ajst-5639	102	17	model	model	NOUN
ajst-5639	102	18	are	be	AUX
ajst-5639	102	19	further	far	ADV
ajst-5639	102	20	verified	verify	VERB
ajst-5639	102	21	,	,	PUNCT
ajst-5639	102	22	and	and	CCONJ
ajst-5639	102	23	the	the	DET
ajst-5639	102	24	effectiveness	effectiveness	NOUN
ajst-5639	102	25	and	and	CCONJ
ajst-5639	102	26	feasibility	feasibility	NOUN
ajst-5639	102	27	of	of	ADP
ajst-5639	102	28	the	the	DET
ajst-5639	102	29	proposed	propose	VERB
ajst-5639	102	30	method	method	NOUN
ajst-5639	102	31	in	in	ADP
ajst-5639	102	32	fault	fault	NOUN
ajst-5639	102	33	diagnosis	diagnosis	NOUN
ajst-5639	102	34	are	be	AUX
ajst-5639	102	35	proved	prove	VERB
ajst-5639	102	36	.	.	PUNCT
ajst-5639	103	1	references	reference	NOUN
ajst-5639	103	2	[	[	X
ajst-5639	103	3	1	1	NUM
ajst-5639	103	4	]	]	PUNCT
ajst-5639	103	5	chen	chen	PROPN
ajst-5639	103	6	x	x	PROPN
ajst-5639	103	7	,	,	PUNCT
ajst-5639	103	8	yan	yan	PROPN
ajst-5639	103	9	r	r	PROPN
ajst-5639	103	10	,	,	PUNCT
ajst-5639	103	11	liu	liu	PROPN
ajst-5639	103	12	y.wind	y.wind	PROPN
ajst-5639	103	13	turbine	turbine	NOUN
ajst-5639	103	14	condition	condition	NOUN
ajst-5639	103	15	monitoring	monitoring	NOUN
ajst-5639	103	16	and	and	CCONJ
ajst-5639	103	17	fault	fault	VERB
ajst-5639	103	18	diagnosis	diagnosis	NOUN
ajst-5639	103	19	in	in	ADP
ajst-5639	103	20	china[j].ieee	china[j].ieee	NOUN
ajst-5639	103	21	instrumentation	instrumentation	NOUN
ajst-5639	103	22	&	&	CCONJ
ajst-5639	103	23	measurement	measurement	PROPN
ajst-5639	103	24	magazine	magazine	PROPN
ajst-5639	103	25	,	,	PUNCT
ajst-5639	103	26	2016	2016	NUM
ajst-5639	103	27	,	,	PUNCT
ajst-5639	103	28	19	19	NUM
ajst-5639	103	29	(	(	PUNCT
ajst-5639	103	30	2	2	NUM
ajst-5639	103	31	):	):	PUNCT
ajst-5639	103	32	22	22	NUM
ajst-5639	103	33	-	-	SYM
ajst-5639	103	34	28	28	NUM
ajst-5639	103	35	.	.	PUNCT
ajst-5639	104	1	[	[	X
ajst-5639	104	2	2	2	X
ajst-5639	104	3	]	]	X
ajst-5639	104	4	chen	chen	PROPN
ajst-5639	104	5	yuhang	yuhang	PROPN
ajst-5639	104	6	,	,	PUNCT
ajst-5639	104	7	li	li	PROPN
ajst-5639	104	8	zhengping	zhengping	PROPN
ajst-5639	104	9	,	,	PUNCT
ajst-5639	104	10	xiao	xiao	PROPN
ajst-5639	104	11	lei	lei	PROPN
ajst-5639	104	12	.	.	PUNCT
ajst-5639	104	13	fault	fault	VERB
ajst-5639	104	14	diagnosis	diagnosis	NOUN
ajst-5639	104	15	of	of	ADP
ajst-5639	104	16	roller	roller	NOUN
ajst-5639	104	17	bearing	bearing	NOUN
ajst-5639	104	18	in	in	ADP
ajst-5639	104	19	spinning	spinning	NOUN
ajst-5639	104	20	frame	frame	NOUN
ajst-5639	104	21	based	base	VERB
ajst-5639	104	22	on	on	ADP
ajst-5639	104	23	fft-1d	fft-1d	PROPN
ajst-5639	104	24	-	-	PUNCT
ajst-5639	104	25	cnn	cnn	PROPN
ajst-5639	104	26	.	.	PUNCT
ajst-5639	105	1	cotton	cotton	NOUN
ajst-5639	105	2	textile	textile	NOUN
ajst-5639	105	3	technology	technology	NOUN
ajst-5639	105	4	:	:	PUNCT
ajst-5639	105	5	1	1	NUM
ajst-5639	105	6	-	-	SYM
ajst-5639	105	7	7	7	NUM
ajst-5639	105	8	.	.	PUNCT
ajst-5639	106	1	[	[	X
ajst-5639	106	2	3	3	X
ajst-5639	106	3	]	]	X
ajst-5639	106	4	liu	liu	PROPN
ajst-5639	106	5	bei	bei	PROPN
ajst-5639	106	6	,	,	PUNCT
ajst-5639	106	7	cai	cai	PROPN
ajst-5639	106	8	jianhua	jianhua	PROPN
ajst-5639	106	9	,	,	PUNCT
ajst-5639	106	10	peng	peng	PROPN
ajst-5639	106	11	ziqi	ziqi	PROPN
ajst-5639	106	12	.	.	PUNCT
ajst-5639	107	1	fault	fault	VERB
ajst-5639	107	2	diagnosis	diagnosis	NOUN
ajst-5639	107	3	method	method	NOUN
ajst-5639	107	4	of	of	ADP
ajst-5639	107	5	rolling	rolling	ADJ
ajst-5639	107	6	bearing	bearing	NOUN
ajst-5639	107	7	based	base	VERB
ajst-5639	107	8	on	on	ADP
ajst-5639	107	9	vmd	vmd	PROPN
ajst-5639	107	10	-	-	PUNCT
ajst-5639	107	11	imde	imde	PROPN
ajst-5639	107	12	-	-	PUNCT
ajst-5639	107	13	pnn	pnn	NOUN
ajst-5639	108	1	[	[	X
ajst-5639	108	2	j	j	X
ajst-5639	108	3	]	]	X
ajst-5639	108	4	.	.	PUNCT
ajst-5639	109	1	noise	noise	NOUN
ajst-5639	109	2	and	and	CCONJ
ajst-5639	109	3	vibration	vibration	NOUN
ajst-5639	109	4	control	control	NOUN
ajst-5639	109	5	,	,	PUNCT
ajst-5639	109	6	2022	2022	NUM
ajst-5639	109	7	,	,	PUNCT
ajst-5639	109	8	42	42	NUM
ajst-5639	109	9	(	(	PUNCT
ajst-5639	109	10	05	05	NUM
ajst-5639	109	11	):	):	PUNCT
ajst-5639	109	12	96	96	NUM
ajst-5639	109	13	-	-	SYM
ajst-5639	109	14	101	101	NUM
ajst-5639	110	1	+	+	NUM
ajst-5639	110	2	133	133	NUM
ajst-5639	110	3	.	.	PUNCT
ajst-5639	111	1	[	[	X
ajst-5639	111	2	4	4	NUM
ajst-5639	111	3	]	]	X
ajst-5639	111	4	tian	tian	ADJ
ajst-5639	111	5	sai	sai	PROPN
ajst-5639	111	6	,	,	PUNCT
ajst-5639	111	7	yao	yao	PROPN
ajst-5639	111	8	bin	bin	PROPN
ajst-5639	111	9	,	,	PUNCT
ajst-5639	111	10	chen	chen	PROPN
ajst-5639	111	11	binqiang	binqiang	PROPN
ajst-5639	111	12	,	,	PUNCT
ajst-5639	111	13	wang	wang	PROPN
ajst-5639	111	14	jinglin	jinglin	PROPN
ajst-5639	111	15	,	,	PUNCT
ajst-5639	111	16	cao	cao	PROPN
ajst-5639	111	17	xincheng	xincheng	PROPN
ajst-5639	111	18	.	.	PUNCT
ajst-5639	112	1	rolling	roll	VERB
ajst-5639	112	2	bearing	bear	VERB
ajst-5639	112	3	fault	fault	NOUN
ajst-5639	112	4	diagnosis	diagnosis	NOUN
ajst-5639	112	5	method	method	NOUN
ajst-5639	112	6	based	base	VERB
ajst-5639	112	7	on	on	ADP
ajst-5639	112	8	morlet	morlet	PROPN
ajst-5639	112	9	wavelet	wavelet	NOUN
ajst-5639	112	10	and	and	CCONJ
ajst-5639	112	11	improved	improved	ADJ
ajst-5639	112	12	kurtosis	kurtosis	NOUN
ajst-5639	113	1	[	[	X
ajst-5639	113	2	j	j	X
ajst-5639	113	3	]	]	X
ajst-5639	113	4	.	.	PUNCT
ajst-5639	114	1	tools	tool	NOUN
ajst-5639	114	2	technology	technology	NOUN
ajst-5639	114	3	,	,	PUNCT
ajst-5639	114	4	2022	2022	NUM
ajst-5639	114	5	,	,	PUNCT
ajst-5639	114	6	56	56	NUM
ajst-5639	114	7	(	(	PUNCT
ajst-5639	114	8	10	10	NUM
ajst-5639	114	9	):	):	SYM
ajst-5639	114	10	141	141	NUM
ajst-5639	114	11	-	-	SYM
ajst-5639	114	12	146	146	NUM
ajst-5639	114	13	.	.	PUNCT
ajst-5639	115	1	[	[	X
ajst-5639	115	2	5	5	NUM
ajst-5639	115	3	]	]	PUNCT
ajst-5639	115	4	zhu	zhu	PROPN
ajst-5639	115	5	j	j	PROPN
ajst-5639	115	6	,	,	PUNCT
ajst-5639	115	7	hu	hu	PROPN
ajst-5639	115	8	t	t	PROPN
ajst-5639	115	9	,	,	PUNCT
ajst-5639	115	10	jiang	jiang	PROPN
ajst-5639	115	11	b	b	PROPN
ajst-5639	115	12	,	,	PUNCT
ajst-5639	115	13	et	et	PROPN
ajst-5639	115	14	al	al	PROPN
ajst-5639	115	15	.	.	PUNCT
ajst-5639	115	16	intelligent	intelligent	ADJ
ajst-5639	115	17	bearing	bearing	NOUN
ajst-5639	115	18	fault	fault	NOUN
ajst-5639	115	19	diagnosis	diagnosis	NOUN
ajst-5639	115	20	using	use	VERB
ajst-5639	115	21	pca	pca	PROPN
ajst-5639	115	22	–	–	PUNCT
ajst-5639	115	23	dbn	dbn	PROPN
ajst-5639	115	24	framework[j	framework[j	PROPN
ajst-5639	115	25	]	]	PUNCT
ajst-5639	115	26	.	.	PUNCT
ajst-5639	116	1	neural	neural	ADJ
ajst-5639	116	2	computing	computing	NOUN
ajst-5639	116	3	and	and	CCONJ
ajst-5639	116	4	applications	application	NOUN
ajst-5639	116	5	,	,	PUNCT
ajst-5639	116	6	2020	2020	NUM
ajst-5639	116	7	,	,	PUNCT
ajst-5639	116	8	32(14	32(14	NUM
ajst-5639	116	9	):	):	PUNCT
ajst-5639	116	10	10773	10773	NUM
ajst-5639	116	11	-	-	SYM
ajst-5639	116	12	10781	10781	NUM
ajst-5639	116	13	.	.	PUNCT
ajst-5639	117	1	[	[	X
ajst-5639	117	2	6	6	NUM
ajst-5639	117	3	]	]	PUNCT
ajst-5639	117	4	wang	wang	PROPN
ajst-5639	117	5	h	h	PROPN
ajst-5639	117	6	,	,	PUNCT
ajst-5639	117	7	liu	liu	PROPN
ajst-5639	117	8	z	z	PROPN
ajst-5639	117	9	,	,	PUNCT
ajst-5639	117	10	peng	peng	PROPN
ajst-5639	117	11	d	d	PROPN
ajst-5639	117	12	,	,	PUNCT
ajst-5639	117	13	et	et	PROPN
ajst-5639	117	14	al	al	PROPN
ajst-5639	117	15	.	.	PUNCT
ajst-5639	118	1	understanding	understanding	NOUN
ajst-5639	118	2	and	and	CCONJ
ajst-5639	118	3	learning	learn	VERB
ajst-5639	118	4	discriminant	discriminant	NOUN
ajst-5639	118	5	features	feature	NOUN
ajst-5639	118	6	based	base	VERB
ajst-5639	118	7	on	on	ADP
ajst-5639	118	8	multiattention	multiattention	PROPN
ajst-5639	118	9	1dcnn	1dcnn	NUM
ajst-5639	118	10	for	for	ADP
ajst-5639	118	11	wheelset	wheelset	NOUN
ajst-5639	118	12	bearing	bearing	NOUN
ajst-5639	118	13	fault	fault	VERB
ajst-5639	118	14	diagnosis[j	diagnosis[j	NOUN
ajst-5639	118	15	]	]	PUNCT
ajst-5639	118	16	.	.	PUNCT
ajst-5639	119	1	ieee	ieee	NOUN
ajst-5639	119	2	transactions	transaction	NOUN
ajst-5639	119	3	on	on	ADP
ajst-5639	119	4	industrial	industrial	ADJ
ajst-5639	119	5	informatics	informatic	NOUN
ajst-5639	119	6	,	,	PUNCT
ajst-5639	119	7	2019	2019	NUM
ajst-5639	119	8	,	,	PUNCT
ajst-5639	119	9	16(9	16(9	NUM
ajst-5639	119	10	):	):	PUNCT
ajst-5639	119	11	5735	5735	NUM
ajst-5639	119	12	-	-	SYM
ajst-5639	119	13	5745	5745	NUM
ajst-5639	119	14	.	.	PUNCT
ajst-5639	120	1	[	[	X
ajst-5639	120	2	7	7	X
ajst-5639	120	3	]	]	X
ajst-5639	120	4	cai	cai	X
ajst-5639	120	5	jianpin	jianpin	PROPN
ajst-5639	120	6	,	,	PUNCT
ajst-5639	120	7	zhao	zhao	PROPN
ajst-5639	120	8	xiaotao	xiaotao	PROPN
ajst-5639	120	9	,	,	PUNCT
ajst-5639	120	10	hu	hu	PROPN
ajst-5639	121	1	xianneng	xianneng	PROPN
ajst-5639	121	2	,	,	PUNCT
ajst-5639	121	3	huang	huang	PROPN
ajst-5639	121	4	xianghai	xianghai	PROPN
ajst-5639	121	5	,	,	PUNCT
ajst-5639	121	6	chen	chen	PROPN
ajst-5639	121	7	huiming	huiming	PROPN
ajst-5639	121	8	.	.	PUNCT
ajst-5639	122	1	study	study	NOUN
ajst-5639	122	2	on	on	ADP
ajst-5639	122	3	denoising	denoising	NOUN
ajst-5639	122	4	method	method	NOUN
ajst-5639	122	5	of	of	ADP
ajst-5639	122	6	ball	ball	NOUN
ajst-5639	122	7	mill	mill	NOUN
ajst-5639	122	8	shell	shell	NOUN
ajst-5639	122	9	vibration	vibration	NOUN
ajst-5639	122	10	signal	signal	NOUN
ajst-5639	122	11	based	base	VERB
ajst-5639	122	12	on	on	ADP
ajst-5639	122	13	ceemdan	ceemdan	PROPN
ajst-5639	122	14	and	and	CCONJ
ajst-5639	122	15	wavelet	wavelet	NOUN
ajst-5639	122	16	threshold	threshold	NOUN
ajst-5639	122	17	.	.	PUNCT
ajst-5639	123	1	238	238	NUM
ajst-5639	123	2	mechanical	mechanical	ADJ
ajst-5639	123	3	science	science	NOUN
ajst-5639	123	4	and	and	CCONJ
ajst-5639	123	5	technology	technology	NOUN
ajst-5639	123	6	,	,	PUNCT
ajst-5639	123	7	2020	2020	NUM
ajst-5639	123	8	,	,	PUNCT
ajst-5639	123	9	39	39	NUM
ajst-5639	123	10	(	(	PUNCT
ajst-5639	123	11	07	07	NUM
ajst-5639	123	12	):	):	PUNCT
ajst-5639	123	13	10771085	10771085	NUM
ajst-5639	123	14	.	.	PUNCT
ajst-5639	124	1	[	[	X
ajst-5639	124	2	8	8	NUM
ajst-5639	124	3	]	]	X
ajst-5639	124	4	liu	liu	PROPN
ajst-5639	124	5	changliang	changliang	PROPN
ajst-5639	124	6	,	,	PUNCT
ajst-5639	124	7	wu	wu	PROPN
ajst-5639	124	8	yingjie	yingjie	PROPN
ajst-5639	124	9	,	,	PUNCT
ajst-5639	124	10	zhen	zhen	PROPN
ajst-5639	124	11	chenggang	chenggang	PROPN
ajst-5639	124	12	.	.	PUNCT
ajst-5639	125	1	rolling	roll	VERB
ajst-5639	125	2	bearing	bear	VERB
ajst-5639	125	3	fault	fault	NOUN
ajst-5639	125	4	diagnosis	diagnosis	NOUN
ajst-5639	125	5	based	base	VERB
ajst-5639	125	6	on	on	ADP
ajst-5639	125	7	variational	variational	ADJ
ajst-5639	125	8	modal	modal	ADJ
ajst-5639	125	9	decomposition	decomposition	NOUN
ajst-5639	125	10	and	and	CCONJ
ajst-5639	125	11	fuzzy	fuzzy	ADJ
ajst-5639	125	12	c	c	NOUN
ajst-5639	125	13	-	-	PUNCT
ajst-5639	125	14	means	means	NOUN
ajst-5639	125	15	clustering	clustering	NOUN
ajst-5639	125	16	:	:	PUNCT
ajst-5639	125	17	proceedings	proceeding	NOUN
ajst-5639	125	18	of	of	ADP
ajst-5639	125	19	the	the	DET
ajst-5639	125	20	csee	csee	NOUN
ajst-5639	125	21	,	,	PUNCT
ajst-5639	125	22	2015	2015	NUM
ajst-5639	125	23	:	:	PUNCT
ajst-5639	125	24	3558	3558	NUM
ajst-5639	125	25	-	-	SYM
ajst-5639	125	26	3565	3565	NUM
ajst-5639	125	27	.	.	PUNCT
ajst-5639	126	1	[	[	X
ajst-5639	126	2	9	9	NUM
ajst-5639	126	3	]	]	PUNCT
ajst-5639	126	4	tang	tang	NOUN
ajst-5639	126	5	guiji	guiji	PROPN
ajst-5639	126	6	,	,	PUNCT
ajst-5639	126	7	wang	wang	PROPN
ajst-5639	126	8	xiaolong	xiaolong	PROPN
ajst-5639	126	9	.	.	PUNCT
ajst-5639	127	1	application	application	NOUN
ajst-5639	127	2	of	of	ADP
ajst-5639	127	3	parametric	parametric	ADJ
ajst-5639	127	4	optimization	optimization	NOUN
ajst-5639	127	5	variational	variational	ADJ
ajst-5639	127	6	modal	modal	ADJ
ajst-5639	127	7	decomposition	decomposition	NOUN
ajst-5639	127	8	method	method	NOUN
ajst-5639	127	9	in	in	ADP
ajst-5639	127	10	early	early	ADJ
ajst-5639	127	11	fault	fault	NOUN
ajst-5639	127	12	diagnosis	diagnosis	NOUN
ajst-5639	127	13	of	of	ADP
ajst-5639	127	14	rolling	rolling	ADJ
ajst-5639	127	15	bearings	bearing	NOUN
ajst-5639	127	16	:	:	PUNCT
ajst-5639	127	17	journal	journal	NOUN
ajst-5639	127	18	of	of	ADP
ajst-5639	127	19	xi'an	xi'an	PROPN
ajst-5639	127	20	jiaotong	jiaotong	PROPN
ajst-5639	127	21	university	university	PROPN
ajst-5639	127	22	,	,	PUNCT
ajst-5639	127	23	2015	2015	NUM
ajst-5639	127	24	:	:	PUNCT
ajst-5639	127	25	73	73	NUM
ajst-5639	127	26	-	-	SYM
ajst-5639	127	27	81	81	NUM
ajst-5639	127	28	.	.	PUNCT
ajst-5639	128	1	[	[	X
ajst-5639	128	2	10	10	NUM
ajst-5639	128	3	]	]	X
ajst-5639	128	4	konstantin	konstantin	PROPN
ajst-5639	128	5	dragomiretskiy	dragomiretskiy	PROPN
ajst-5639	128	6	,	,	PUNCT
ajst-5639	128	7	dominique	dominique	PROPN
ajst-5639	128	8	zosso	zosso	PROPN
ajst-5639	128	9	.	.	PUNCT
ajst-5639	129	1	variational	variational	ADJ
ajst-5639	129	2	mode	mode	NOUN
ajst-5639	129	3	decomposition	decomposition	NOUN
ajst-5639	129	4	:	:	PUNCT
ajst-5639	129	5	ieee	ieee	NOUN
ajst-5639	129	6	transactions	transaction	NOUN
ajst-5639	129	7	on	on	ADP
ajst-5639	129	8	signal	signal	ADJ
ajst-5639	129	9	processing	processing	NOUN
ajst-5639	129	10	,	,	PUNCT
ajst-5639	129	11	vol	vol	NOUN
ajst-5639	129	12	.	.	PROPN
ajst-5639	129	13	62	62	NUM
ajst-5639	129	14	,	,	PUNCT
ajst-5639	129	15	no	no	INTJ
ajst-5639	129	16	.	.	PUNCT
ajst-5639	130	1	3，2014：531	3，2014：531	NUM
ajst-5639	130	2	-	-	SYM
ajst-5639	130	3	544	544	NUM
ajst-5639	130	4	.	.	PUNCT
ajst-5639	131	1	[	[	X
ajst-5639	131	2	11	11	NUM
ajst-5639	131	3	]	]	PUNCT
ajst-5639	131	4	he	he	PRON
ajst-5639	131	5	k	k	PROPN
ajst-5639	131	6	m	m	PROPN
ajst-5639	131	7	,	,	PUNCT
ajst-5639	131	8	zhang	zhang	PROPN
ajst-5639	131	9	x	x	SYM
ajst-5639	131	10	y	y	PROPN
ajst-5639	131	11	,	,	PUNCT
ajst-5639	131	12	ren	ren	PROPN
ajst-5639	131	13	s	s	PROPN
ajst-5639	131	14	q.	q.	PROPN
ajst-5639	131	15	deep	deep	ADJ
ajst-5639	131	16	residual	residual	ADJ
ajst-5639	131	17	learning	learning	NOUN
ajst-5639	131	18	for	for	ADP
ajst-5639	131	19	image	image	NOUN
ajst-5639	131	20	recognition[c]//proceedings	recognition[c]//proceeding	NOUN
ajst-5639	131	21	of	of	ADP
ajst-5639	131	22	the	the	DET
ajst-5639	131	23	ieee	ieee	NOUN
ajst-5639	131	24	conference	conference	NOUN
ajst-5639	131	25	on	on	ADP
ajst-5639	131	26	computer	computer	NOUN
ajst-5639	131	27	vision	vision	NOUN
ajst-5639	131	28	and	and	CCONJ
ajst-5639	131	29	pattern	pattern	NOUN
ajst-5639	131	30	recognition	recognition	NOUN
ajst-5639	131	31	(	(	PUNCT
ajst-5639	131	32	cvpr	cvpr	NOUN
ajst-5639	131	33	)	)	PUNCT
ajst-5639	131	34	,	,	PUNCT
ajst-5639	131	35	las	las	PROPN
ajst-5639	131	36	vegas	vegas	PROPN
ajst-5639	131	37	,	,	PUNCT
ajst-5639	131	38	usa	usa	PROPN
ajst-5639	131	39	,	,	PUNCT
ajst-5639	131	40	2016	2016	NUM
ajst-5639	131	41	:	:	PUNCT
ajst-5639	131	42	770	770	NUM
ajst-5639	131	43	-	-	SYM
ajst-5639	131	44	778	778	NUM
ajst-5639	131	45	.	.	PUNCT
ajst-5639	132	1	[	[	X
ajst-5639	132	2	12	12	NUM
ajst-5639	132	3	]	]	PUNCT
ajst-5639	132	4	a.	a.	NOUN
ajst-5639	132	5	krizhevsky	krizhevsky	PROPN
ajst-5639	132	6	,	,	PUNCT
ajst-5639	132	7	i.	i.	PROPN
ajst-5639	132	8	sutskever	sutskever	PROPN
ajst-5639	132	9	,	,	PUNCT
ajst-5639	132	10	and	and	CCONJ
ajst-5639	132	11	g.	g.	PROPN
ajst-5639	132	12	e.	e.	PROPN
ajst-5639	132	13	hinton	hinton	PROPN
ajst-5639	132	14	.	.	PUNCT
ajst-5639	133	1	imagenet	imagenet	PROPN
ajst-5639	133	2	classification	classification	NOUN
ajst-5639	133	3	with	with	ADP
ajst-5639	133	4	deep	deep	ADJ
ajst-5639	133	5	convolutional	convolutional	ADJ
ajst-5639	133	6	neural	neural	ADJ
ajst-5639	133	7	networks	network	NOUN
ajst-5639	133	8	.	.	PUNCT
ajst-5639	134	1	in	in	ADP
ajst-5639	134	2	advances	advance	NOUN
ajst-5639	134	3	in	in	ADP
ajst-5639	134	4	neural	neural	ADJ
ajst-5639	134	5	information	information	NOUN
ajst-5639	134	6	processing	processing	NOUN
ajst-5639	134	7	systems	system	NOUN
ajst-5639	134	8	,	,	PUNCT
ajst-5639	134	9	pages	page	NOUN
ajst-5639	134	10	1097–1105	1097–1105	NUM
ajst-5639	134	11	,	,	PUNCT
ajst-5639	134	12	2012	2012	NUM
ajst-5639	134	13	.	.	PUNCT
ajst-5639	135	1	[	[	X
ajst-5639	135	2	13	13	NUM
ajst-5639	135	3	]	]	X
ajst-5639	135	4	wen	wen	NOUN
ajst-5639	135	5	long	long	ADV
ajst-5639	135	6	,	,	PUNCT
ajst-5639	135	7	li	li	PROPN
ajst-5639	135	8	xinyu	xinyu	PROPN
ajst-5639	135	9	,	,	PUNCT
ajst-5639	135	10	gao	gao	PROPN
ajst-5639	135	11	liang	liang	PROPN
ajst-5639	135	12	,	,	PUNCT
ajst-5639	135	13	et	et	PROPN
ajst-5639	135	14	al	al	PROPN
ajst-5639	135	15	.	.	PUNCT
ajst-5639	136	1	a	a	DET
ajst-5639	136	2	new	new	ADJ
ajst-5639	136	3	convolutional	convolutional	ADJ
ajst-5639	136	4	neural	neural	ADJ
ajst-5639	136	5	network	network	NOUN
ajst-5639	136	6	-	-	PUNCT
ajst-5639	136	7	based	base	VERB
ajst-5639	136	8	data	data	NOUN
ajst-5639	136	9	-	-	PUNCT
ajst-5639	136	10	driven	drive	VERB
ajst-5639	136	11	fault	fault	NOUN
ajst-5639	136	12	diagnosis	diagnosis	NOUN
ajst-5639	136	13	method[j	method[j	NOUN
ajst-5639	136	14	]	]	PUNCT
ajst-5639	136	15	.	.	PUNCT
ajst-5639	137	1	ieee	ieee	NOUN
ajst-5639	137	2	transactions	transaction	NOUN
ajst-5639	137	3	on	on	ADP
ajst-5639	137	4	industrial	industrial	ADJ
ajst-5639	137	5	electronics	electronic	NOUN
ajst-5639	137	6	,	,	PUNCT
ajst-5639	137	7	2018	2018	NUM
ajst-5639	137	8	,	,	PUNCT
ajst-5639	137	9	65(7):59905998	65(7):59905998	NUM
ajst-5639	137	10	.	.	PUNCT