id	sid	tid	token	lemma	pos
ajst-18329	1	1	academic	academic	ADJ
ajst-18329	1	2	journal	journal	NOUN
ajst-18329	1	3	of	of	ADP
ajst-18329	1	4	science	science	NOUN
ajst-18329	1	5	and	and	CCONJ
ajst-18329	1	6	technology	technology	NOUN
ajst-18329	1	7	issn	issn	NOUN
ajst-18329	1	8	:	:	PUNCT
ajst-18329	1	9	2771	2771	NUM
ajst-18329	1	10	-	-	SYM
ajst-18329	1	11	3032	3032	NUM
ajst-18329	1	12	|	|	NOUN
ajst-18329	1	13	vol	vol	NOUN
ajst-18329	1	14	.	.	PROPN
ajst-18329	2	1	9	9	NUM
ajst-18329	2	2	,	,	PUNCT
ajst-18329	2	3	no	no	INTJ
ajst-18329	2	4	.	.	NOUN
ajst-18329	2	5	3	3	NUM
ajst-18329	2	6	,	,	PUNCT
ajst-18329	2	7	2024	2024	NUM
ajst-18329	2	8	78	78	NUM
ajst-18329	2	9	bearing	bear	VERB
ajst-18329	2	10	fault	fault	NOUN
ajst-18329	2	11	diagnosis	diagnosis	NOUN
ajst-18329	2	12	based	base	VERB
ajst-18329	2	13	on	on	ADP
ajst-18329	2	14	vmd‐wpt‐vit	vmd‐wpt‐vit	NOUN
ajst-18329	2	15	for	for	ADP
ajst-18329	2	16	wind	wind	NOUN
ajst-18329	2	17	turbine	turbine	NOUN
ajst-18329	2	18	hao	hao	PROPN
ajst-18329	2	19	zhen1	zhen1	PROPN
ajst-18329	2	20	,	,	PUNCT
ajst-18329	2	21	shaoting	shaote	VERB
ajst-18329	2	22	wang2	wang2	NOUN
ajst-18329	2	23	,	,	PUNCT
ajst-18329	2	24	longfeng	longfeng	ADJ
ajst-18329	2	25	han3	han3	PROPN
ajst-18329	2	26	,	,	PUNCT
ajst-18329	2	27	min	min	PROPN
ajst-18329	2	28	liu3	liu3	PROPN
ajst-18329	2	29	1huaneng	1huaneng	NUM
ajst-18329	2	30	beijing	beijing	PROPN
ajst-18329	2	31	thermal	thermal	PROPN
ajst-18329	2	32	power	power	PROPN
ajst-18329	2	33	co.	co.	PROPN
ajst-18329	2	34	ltd	ltd	PROPN
ajst-18329	2	35	.	.	PROPN
ajst-18329	2	36	,	,	PUNCT
ajst-18329	2	37	beijing	beijing	PROPN
ajst-18329	2	38	100023	100023	NUM
ajst-18329	2	39	,	,	PUNCT
ajst-18329	2	40	china	china	PROPN
ajst-18329	2	41	2state	2state	PROPN
ajst-18329	2	42	grid	grid	NOUN
ajst-18329	2	43	digital	digital	ADJ
ajst-18329	2	44	technology	technology	PROPN
ajst-18329	2	45	holding	holding	PROPN
ajst-18329	2	46	co.	co.	PROPN
ajst-18329	2	47	,ltd	,ltd	PROPN
ajst-18329	2	48	,	,	PUNCT
ajst-18329	2	49	beijing	beijing	PROPN
ajst-18329	2	50	100032	100032	NUM
ajst-18329	2	51	,	,	PUNCT
ajst-18329	2	52	china	china	PROPN
ajst-18329	2	53	3school	3school	NUM
ajst-18329	2	54	of	of	ADP
ajst-18329	2	55	control	control	NOUN
ajst-18329	2	56	and	and	CCONJ
ajst-18329	2	57	computer	computer	NOUN
ajst-18329	2	58	engineering	engineering	NOUN
ajst-18329	2	59	,	,	PUNCT
ajst-18329	2	60	north	north	PROPN
ajst-18329	2	61	china	china	PROPN
ajst-18329	2	62	electric	electric	PROPN
ajst-18329	2	63	power	power	PROPN
ajst-18329	2	64	university	university	PROPN
ajst-18329	2	65	,	,	PUNCT
ajst-18329	2	66	baoding	baoding	PROPN
ajst-18329	2	67	071003	071003	NUM
ajst-18329	2	68	,	,	PUNCT
ajst-18329	2	69	china	china	PROPN
ajst-18329	2	70	abstract	abstract	NOUN
ajst-18329	2	71	:	:	PUNCT
ajst-18329	2	72	as	as	ADP
ajst-18329	2	73	an	an	DET
ajst-18329	2	74	important	important	ADJ
ajst-18329	2	75	part	part	NOUN
ajst-18329	2	76	of	of	ADP
ajst-18329	2	77	wind	wind	NOUN
ajst-18329	2	78	turbine	turbine	NOUN
ajst-18329	2	79	,	,	PUNCT
ajst-18329	2	80	the	the	DET
ajst-18329	2	81	fault	fault	NOUN
ajst-18329	2	82	diagnosis	diagnosis	NOUN
ajst-18329	2	83	of	of	ADP
ajst-18329	2	84	rolling	rolling	ADJ
ajst-18329	2	85	bearings	bearing	NOUN
ajst-18329	2	86	is	be	AUX
ajst-18329	2	87	helpful	helpful	ADJ
ajst-18329	2	88	to	to	PART
ajst-18329	2	89	maintain	maintain	VERB
ajst-18329	2	90	the	the	DET
ajst-18329	2	91	stable	stable	ADJ
ajst-18329	2	92	operation	operation	NOUN
ajst-18329	2	93	of	of	ADP
ajst-18329	2	94	the	the	DET
ajst-18329	2	95	fan	fan	NOUN
ajst-18329	2	96	.	.	PUNCT
ajst-18329	3	1	however	however	ADV
ajst-18329	3	2	,	,	PUNCT
ajst-18329	3	3	most	most	ADJ
ajst-18329	3	4	of	of	ADP
ajst-18329	3	5	the	the	DET
ajst-18329	3	6	existing	exist	VERB
ajst-18329	3	7	fault	fault	NOUN
ajst-18329	3	8	diagnosis	diagnosis	NOUN
ajst-18329	3	9	methods	method	NOUN
ajst-18329	3	10	focus	focus	VERB
ajst-18329	3	11	on	on	ADP
ajst-18329	3	12	one	one	NUM
ajst-18329	3	13	-	-	PUNCT
ajst-18329	3	14	dimensional	dimensional	ADJ
ajst-18329	3	15	time	time	NOUN
ajst-18329	3	16	series	series	PROPN
ajst-18329	3	17	data	data	PROPN
ajst-18329	3	18	,	,	PUNCT
ajst-18329	3	19	which	which	PRON
ajst-18329	3	20	is	be	AUX
ajst-18329	3	21	not	not	PART
ajst-18329	3	22	only	only	ADV
ajst-18329	3	23	difficult	difficult	ADJ
ajst-18329	3	24	to	to	PART
ajst-18329	3	25	extract	extract	VERB
ajst-18329	3	26	multi	multi	ADJ
ajst-18329	3	27	-	-	ADJ
ajst-18329	3	28	level	level	ADJ
ajst-18329	3	29	feature	feature	NOUN
ajst-18329	3	30	information	information	NOUN
ajst-18329	3	31	,	,	PUNCT
ajst-18329	3	32	but	but	CCONJ
ajst-18329	3	33	also	also	ADV
ajst-18329	3	34	fails	fail	VERB
ajst-18329	3	35	to	to	PART
ajst-18329	3	36	consider	consider	VERB
ajst-18329	3	37	the	the	DET
ajst-18329	3	38	noise	noise	NOUN
ajst-18329	3	39	problem	problem	NOUN
ajst-18329	3	40	in	in	ADP
ajst-18329	3	41	the	the	DET
ajst-18329	3	42	signal	signal	NOUN
ajst-18329	3	43	.	.	PUNCT
ajst-18329	4	1	therefore	therefore	ADV
ajst-18329	4	2	,	,	PUNCT
ajst-18329	4	3	to	to	PART
ajst-18329	4	4	solve	solve	VERB
ajst-18329	4	5	the	the	DET
ajst-18329	4	6	above	above	ADJ
ajst-18329	4	7	problems	problem	NOUN
ajst-18329	4	8	,	,	PUNCT
ajst-18329	4	9	a	a	DET
ajst-18329	4	10	noise	noise	NOUN
ajst-18329	4	11	reduction	reduction	NOUN
ajst-18329	4	12	algorithm	algorithm	NOUN
ajst-18329	4	13	combining	combine	VERB
ajst-18329	4	14	variational	variational	ADJ
ajst-18329	4	15	mode	mode	NOUN
ajst-18329	4	16	decomposition	decomposition	NOUN
ajst-18329	4	17	(	(	PUNCT
ajst-18329	4	18	vmd	vmd	NOUN
ajst-18329	4	19	)	)	PUNCT
ajst-18329	4	20	and	and	CCONJ
ajst-18329	4	21	wavelet	wavelet	NOUN
ajst-18329	4	22	packet	packet	NOUN
ajst-18329	4	23	threshold	threshold	NOUN
ajst-18329	4	24	noise	noise	NOUN
ajst-18329	4	25	reduction	reduction	NOUN
ajst-18329	4	26	(	(	PUNCT
ajst-18329	4	27	wpt	wpt	PROPN
ajst-18329	4	28	)	)	PUNCT
ajst-18329	4	29	is	be	AUX
ajst-18329	4	30	proposed	propose	VERB
ajst-18329	4	31	,	,	PUNCT
ajst-18329	4	32	and	and	CCONJ
ajst-18329	4	33	vision	vision	NOUN
ajst-18329	4	34	-	-	PUNCT
ajst-18329	4	35	transformer	transformer	NOUN
ajst-18329	4	36	(	(	PUNCT
ajst-18329	4	37	vit	vit	NOUN
ajst-18329	4	38	)	)	PUNCT
ajst-18329	4	39	model	model	NOUN
ajst-18329	4	40	is	be	AUX
ajst-18329	4	41	combined	combine	VERB
ajst-18329	4	42	to	to	PART
ajst-18329	4	43	realize	realize	VERB
ajst-18329	4	44	the	the	DET
ajst-18329	4	45	fault	fault	NOUN
ajst-18329	4	46	diagnosis	diagnosis	NOUN
ajst-18329	4	47	of	of	ADP
ajst-18329	4	48	rolling	rolling	ADJ
ajst-18329	4	49	bearings	bearing	NOUN
ajst-18329	4	50	of	of	ADP
ajst-18329	4	51	wind	wind	NOUN
ajst-18329	4	52	turbines	turbine	NOUN
ajst-18329	4	53	.	.	PUNCT
ajst-18329	5	1	vmd	vmd	PROPN
ajst-18329	5	2	is	be	AUX
ajst-18329	5	3	used	use	VERB
ajst-18329	5	4	to	to	PART
ajst-18329	5	5	decompose	decompose	VERB
ajst-18329	5	6	the	the	DET
ajst-18329	5	7	original	original	ADJ
ajst-18329	5	8	signal	signal	NOUN
ajst-18329	5	9	and	and	CCONJ
ajst-18329	5	10	find	find	VERB
ajst-18329	5	11	out	out	ADP
ajst-18329	5	12	the	the	DET
ajst-18329	5	13	noisy	noisy	ADJ
ajst-18329	5	14	component	component	NOUN
ajst-18329	5	15	.	.	PUNCT
ajst-18329	6	1	wpt	wpt	PROPN
ajst-18329	6	2	is	be	AUX
ajst-18329	6	3	used	use	VERB
ajst-18329	6	4	to	to	AUX
ajst-18329	6	5	de	de	NOUN
ajst-18329	6	6	-	-	VERB
ajst-18329	6	7	noise	noise	VERB
ajst-18329	6	8	the	the	DET
ajst-18329	6	9	component	component	NOUN
ajst-18329	6	10	,	,	PUNCT
ajst-18329	6	11	and	and	CCONJ
ajst-18329	6	12	the	the	DET
ajst-18329	6	13	de	de	ADJ
ajst-18329	6	14	-	-	ADJ
ajst-18329	6	15	noised	noised	ADJ
ajst-18329	6	16	component	component	NOUN
ajst-18329	6	17	and	and	CCONJ
ajst-18329	6	18	other	other	ADJ
ajst-18329	6	19	components	component	NOUN
ajst-18329	6	20	are	be	AUX
ajst-18329	6	21	reconstructed	reconstruct	VERB
ajst-18329	6	22	to	to	PART
ajst-18329	6	23	form	form	VERB
ajst-18329	6	24	a	a	DET
ajst-18329	6	25	pure	pure	ADJ
ajst-18329	6	26	signal	signal	NOUN
ajst-18329	6	27	and	and	CCONJ
ajst-18329	6	28	converted	convert	VERB
ajst-18329	6	29	into	into	ADP
ajst-18329	6	30	a	a	DET
ajst-18329	6	31	two	two	NUM
ajst-18329	6	32	-	-	PUNCT
ajst-18329	6	33	dimensional	dimensional	ADJ
ajst-18329	6	34	image	image	NOUN
ajst-18329	6	35	.	.	PUNCT
ajst-18329	7	1	finally	finally	ADV
ajst-18329	7	2	,	,	PUNCT
ajst-18329	7	3	a	a	DET
ajst-18329	7	4	diagnostic	diagnostic	ADJ
ajst-18329	7	5	model	model	NOUN
ajst-18329	7	6	is	be	AUX
ajst-18329	7	7	built	build	VERB
ajst-18329	7	8	based	base	VERB
ajst-18329	7	9	on	on	ADP
ajst-18329	7	10	vision	vision	NOUN
ajst-18329	7	11	-	-	PUNCT
ajst-18329	7	12	transformer	transformer	NOUN
ajst-18329	7	13	.	.	PUNCT
ajst-18329	8	1	the	the	DET
ajst-18329	8	2	experimental	experimental	ADJ
ajst-18329	8	3	results	result	NOUN
ajst-18329	8	4	show	show	VERB
ajst-18329	8	5	that	that	SCONJ
ajst-18329	8	6	the	the	DET
ajst-18329	8	7	proposed	propose	VERB
ajst-18329	8	8	method	method	NOUN
ajst-18329	8	9	can	can	AUX
ajst-18329	8	10	effectively	effectively	ADV
ajst-18329	8	11	improve	improve	VERB
ajst-18329	8	12	the	the	DET
ajst-18329	8	13	diagnostic	diagnostic	ADJ
ajst-18329	8	14	accuracy	accuracy	NOUN
ajst-18329	8	15	by	by	ADP
ajst-18329	8	16	extracting	extract	VERB
ajst-18329	8	17	the	the	DET
ajst-18329	8	18	advanced	advanced	ADJ
ajst-18329	8	19	global	global	ADJ
ajst-18329	8	20	features	feature	NOUN
ajst-18329	8	21	of	of	ADP
ajst-18329	8	22	the	the	DET
ajst-18329	8	23	signal	signal	NOUN
ajst-18329	8	24	.	.	PUNCT
ajst-18329	9	1	keywords	keyword	NOUN
ajst-18329	9	2	:	:	PUNCT
ajst-18329	9	3	lrolling	lrolle	VERB
ajst-18329	9	4	bearing	bearing	NOUN
ajst-18329	9	5	;	;	PUNCT
ajst-18329	9	6	two	two	NUM
ajst-18329	9	7	-	-	PUNCT
ajst-18329	9	8	dimensional	dimensional	ADJ
ajst-18329	9	9	gray	gray	ADJ
ajst-18329	9	10	map	map	NOUN
ajst-18329	9	11	;	;	PUNCT
ajst-18329	9	12	fault	fault	VERB
ajst-18329	9	13	diagnosis	diagnosis	NOUN
ajst-18329	9	14	;	;	PUNCT
ajst-18329	9	15	vision	vision	NOUN
ajst-18329	9	16	-	-	PUNCT
ajst-18329	9	17	transformer	transformer	NOUN
ajst-18329	9	18	;	;	PUNCT
ajst-18329	9	19	vmd	vmd	PROPN
ajst-18329	9	20	;	;	PUNCT
ajst-18329	9	21	wavelet	wavelet	NOUN
ajst-18329	9	22	packet	packet	NOUN
ajst-18329	9	23	threshold	threshold	NOUN
ajst-18329	9	24	denoising	denoise	VERB
ajst-18329	9	25	.	.	PUNCT
ajst-18329	10	1	1	1	X
ajst-18329	10	2	.	.	X
ajst-18329	10	3	introduction	introduction	NOUN
ajst-18329	10	4	in	in	ADP
ajst-18329	10	5	today	today	NOUN
ajst-18329	10	6	's	's	PART
ajst-18329	10	7	society	society	NOUN
ajst-18329	10	8	,	,	PUNCT
ajst-18329	10	9	with	with	ADP
ajst-18329	10	10	the	the	DET
ajst-18329	10	11	rapid	rapid	ADJ
ajst-18329	10	12	development	development	NOUN
ajst-18329	10	13	of	of	ADP
ajst-18329	10	14	the	the	DET
ajst-18329	10	15	world	world	NOUN
ajst-18329	10	16	economy	economy	NOUN
ajst-18329	10	17	,	,	PUNCT
ajst-18329	10	18	non	non	ADJ
ajst-18329	10	19	-	-	ADJ
ajst-18329	10	20	renewable	renewable	ADJ
ajst-18329	10	21	energy	energy	NOUN
ajst-18329	10	22	has	have	AUX
ajst-18329	10	23	been	be	AUX
ajst-18329	10	24	over	over	ADV
ajst-18329	10	25	-	-	PUNCT
ajst-18329	10	26	exploited	exploit	VERB
ajst-18329	10	27	by	by	ADP
ajst-18329	10	28	human	human	ADJ
ajst-18329	10	29	beings	being	NOUN
ajst-18329	10	30	,	,	PUNCT
ajst-18329	10	31	resulting	result	VERB
ajst-18329	10	32	in	in	ADP
ajst-18329	10	33	an	an	DET
ajst-18329	10	34	urgent	urgent	ADJ
ajst-18329	10	35	inventory	inventory	NOUN
ajst-18329	10	36	.	.	PUNCT
ajst-18329	11	1	wind	wind	NOUN
ajst-18329	11	2	energy	energy	NOUN
ajst-18329	11	3	as	as	ADP
ajst-18329	11	4	a	a	DET
ajst-18329	11	5	stable	stable	ADJ
ajst-18329	11	6	and	and	CCONJ
ajst-18329	11	7	clean	clean	ADJ
ajst-18329	11	8	renewable	renewable	ADJ
ajst-18329	11	9	energy	energy	NOUN
ajst-18329	11	10	storage	storage	NOUN
ajst-18329	11	11	is	be	AUX
ajst-18329	11	12	rich	rich	ADJ
ajst-18329	11	13	,	,	PUNCT
ajst-18329	11	14	so	so	SCONJ
ajst-18329	11	15	wind	wind	NOUN
ajst-18329	11	16	power	power	NOUN
ajst-18329	11	17	has	have	AUX
ajst-18329	11	18	become	become	VERB
ajst-18329	11	19	an	an	DET
ajst-18329	11	20	important	important	ADJ
ajst-18329	11	21	choice	choice	NOUN
ajst-18329	11	22	for	for	ADP
ajst-18329	11	23	energy	energy	NOUN
ajst-18329	11	24	development	development	NOUN
ajst-18329	11	25	in	in	ADP
ajst-18329	11	26	recent	recent	ADJ
ajst-18329	11	27	years	year	NOUN
ajst-18329	11	28	.	.	PUNCT
ajst-18329	12	1	according	accord	VERB
ajst-18329	12	2	to	to	ADP
ajst-18329	12	3	the	the	DET
ajst-18329	12	4	statistics	statistic	NOUN
ajst-18329	12	5	of	of	ADP
ajst-18329	12	6	relevant	relevant	ADJ
ajst-18329	12	7	departments	department	NOUN
ajst-18329	12	8	,	,	PUNCT
ajst-18329	12	9	in	in	ADP
ajst-18329	12	10	2021	2021	NUM
ajst-18329	12	11	,	,	PUNCT
ajst-18329	12	12	china	china	PROPN
ajst-18329	12	13	's	's	PART
ajst-18329	12	14	installed	instal	VERB
ajst-18329	12	15	capacity	capacity	NOUN
ajst-18329	12	16	of	of	ADP
ajst-18329	12	17	wind	wind	NOUN
ajst-18329	12	18	turbines	turbine	NOUN
ajst-18329	12	19	increased	increase	VERB
ajst-18329	12	20	by	by	ADP
ajst-18329	12	21	15,911	15,911	NUM
ajst-18329	12	22	units	unit	NOUN
ajst-18329	12	23	,	,	PUNCT
ajst-18329	12	24	until	until	ADP
ajst-18329	12	25	the	the	DET
ajst-18329	12	26	end	end	NOUN
ajst-18329	12	27	of	of	ADP
ajst-18329	12	28	2021	2021	NUM
ajst-18329	12	29	,	,	PUNCT
ajst-18329	12	30	the	the	DET
ajst-18329	12	31	total	total	ADJ
ajst-18329	12	32	installed	instal	VERB
ajst-18329	12	33	capacity	capacity	NOUN
ajst-18329	12	34	of	of	ADP
ajst-18329	12	35	more	more	ADJ
ajst-18329	12	36	than	than	ADP
ajst-18329	12	37	170,000	170,000	NUM
ajst-18329	12	38	units	unit	NOUN
ajst-18329	12	39	,	,	PUNCT
ajst-18329	12	40	compared	compare	VERB
ajst-18329	12	41	with	with	ADP
ajst-18329	12	42	thermal	thermal	ADJ
ajst-18329	12	43	power	power	NOUN
ajst-18329	12	44	generation	generation	NOUN
ajst-18329	12	45	and	and	CCONJ
ajst-18329	12	46	hydroelectric	hydroelectric	ADJ
ajst-18329	12	47	power	power	NOUN
ajst-18329	12	48	generation	generation	NOUN
ajst-18329	12	49	,	,	PUNCT
ajst-18329	12	50	wind	wind	NOUN
ajst-18329	12	51	power	power	NOUN
ajst-18329	12	52	ranked	rank	VERB
ajst-18329	12	53	third	third	ADV
ajst-18329	12	54	in	in	ADP
ajst-18329	12	55	the	the	DET
ajst-18329	12	56	total	total	ADJ
ajst-18329	12	57	installed	instal	VERB
ajst-18329	12	58	capacity	capacity	NOUN
ajst-18329	12	59	of	of	ADP
ajst-18329	12	60	the	the	DET
ajst-18329	12	61	grid	grid	NOUN
ajst-18329	12	62	,	,	PUNCT
ajst-18329	12	63	accounting	account	VERB
ajst-18329	12	64	for	for	ADP
ajst-18329	12	65	13.5	13.5	NUM
ajst-18329	12	66	%	%	NOUN
ajst-18329	12	67	.	.	PUNCT
ajst-18329	13	1	in	in	ADP
ajst-18329	13	2	2022	2022	NUM
ajst-18329	13	3	,	,	PUNCT
ajst-18329	13	4	the	the	DET
ajst-18329	13	5	newly	newly	ADV
ajst-18329	13	6	installed	instal	VERB
ajst-18329	13	7	capacity	capacity	NOUN
ajst-18329	13	8	affected	affect	VERB
ajst-18329	13	9	by	by	ADP
ajst-18329	13	10	the	the	DET
ajst-18329	13	11	epidemic	epidemic	NOUN
ajst-18329	13	12	will	will	AUX
ajst-18329	13	13	be	be	AUX
ajst-18329	13	14	22.52gw	22.52gw	NUM
ajst-18329	13	15	,	,	PUNCT
ajst-18329	13	16	down	down	ADV
ajst-18329	13	17	8.83	8.83	NUM
ajst-18329	13	18	%	%	NOUN
ajst-18329	13	19	year	year	NOUN
ajst-18329	13	20	-	-	PUNCT
ajst-18329	13	21	on	on	ADP
ajst-18329	13	22	-	-	PUNCT
ajst-18329	13	23	year	year	NOUN
ajst-18329	13	24	,	,	PUNCT
ajst-18329	13	25	but	but	CCONJ
ajst-18329	13	26	in	in	ADP
ajst-18329	13	27	terms	term	NOUN
ajst-18329	13	28	of	of	ADP
ajst-18329	13	29	the	the	DET
ajst-18329	13	30	bidding	bidding	NOUN
ajst-18329	13	31	situation	situation	NOUN
ajst-18329	13	32	,	,	PUNCT
ajst-18329	13	33	2023	2023	NUM
ajst-18329	13	34	may	may	AUX
ajst-18329	13	35	usher	usher	PROPN
ajst-18329	13	36	in	in	ADP
ajst-18329	13	37	the	the	DET
ajst-18329	13	38	first	first	ADJ
ajst-18329	13	39	peak	peak	NOUN
ajst-18329	13	40	in	in	ADP
ajst-18329	13	41	the	the	DET
ajst-18329	13	42	history	history	NOUN
ajst-18329	13	43	of	of	ADP
ajst-18329	13	44	wind	wind	NOUN
ajst-18329	13	45	power	power	NOUN
ajst-18329	13	46	installed	instal	VERB
ajst-18329	13	47	capacity	capacity	NOUN
ajst-18329	13	48	[	[	X
ajst-18329	13	49	1][2	1][2	PROPN
ajst-18329	13	50	]	]	PUNCT
ajst-18329	13	51	.	.	PUNCT
ajst-18329	14	1	due	due	ADP
ajst-18329	14	2	to	to	ADP
ajst-18329	14	3	the	the	DET
ajst-18329	14	4	harsh	harsh	ADJ
ajst-18329	14	5	environment	environment	NOUN
ajst-18329	14	6	of	of	ADP
ajst-18329	14	7	the	the	DET
ajst-18329	14	8	fan	fan	NOUN
ajst-18329	14	9	,	,	PUNCT
ajst-18329	14	10	it	it	PRON
ajst-18329	14	11	is	be	AUX
ajst-18329	14	12	easy	easy	ADJ
ajst-18329	14	13	to	to	PART
ajst-18329	14	14	fail	fail	VERB
ajst-18329	14	15	,	,	PUNCT
ajst-18329	14	16	and	and	CCONJ
ajst-18329	14	17	the	the	DET
ajst-18329	14	18	bearing	bearing	NOUN
ajst-18329	14	19	,	,	PUNCT
ajst-18329	14	20	as	as	ADP
ajst-18329	14	21	the	the	DET
ajst-18329	14	22	main	main	ADJ
ajst-18329	14	23	part	part	NOUN
ajst-18329	14	24	of	of	ADP
ajst-18329	14	25	the	the	DET
ajst-18329	14	26	fan	fan	NOUN
ajst-18329	14	27	,	,	PUNCT
ajst-18329	14	28	also	also	ADV
ajst-18329	14	29	has	have	VERB
ajst-18329	14	30	a	a	DET
ajst-18329	14	31	high	high	ADJ
ajst-18329	14	32	incidence	incidence	NOUN
ajst-18329	14	33	of	of	ADP
ajst-18329	14	34	failure	failure	NOUN
ajst-18329	14	35	.	.	PUNCT
ajst-18329	15	1	fault	fault	NOUN
ajst-18329	15	2	diagnosis	diagnosis	NOUN
ajst-18329	15	3	is	be	AUX
ajst-18329	15	4	of	of	ADP
ajst-18329	15	5	great	great	ADJ
ajst-18329	15	6	significance	significance	NOUN
ajst-18329	15	7	for	for	ADP
ajst-18329	15	8	the	the	DET
ajst-18329	15	9	safe	safe	ADJ
ajst-18329	15	10	and	and	CCONJ
ajst-18329	15	11	stable	stable	ADJ
ajst-18329	15	12	operation	operation	NOUN
ajst-18329	15	13	of	of	ADP
ajst-18329	15	14	the	the	DET
ajst-18329	15	15	fan	fan	NOUN
ajst-18329	15	16	and	and	CCONJ
ajst-18329	15	17	the	the	DET
ajst-18329	15	18	reduction	reduction	NOUN
ajst-18329	15	19	of	of	ADP
ajst-18329	15	20	later	later	ADJ
ajst-18329	15	21	maintenance	maintenance	NOUN
ajst-18329	15	22	costs	cost	NOUN
ajst-18329	15	23	.	.	PUNCT
ajst-18329	16	1	at	at	ADP
ajst-18329	16	2	present	present	ADJ
ajst-18329	16	3	,	,	PUNCT
ajst-18329	16	4	the	the	DET
ajst-18329	16	5	fault	fault	NOUN
ajst-18329	16	6	diagnosis	diagnosis	NOUN
ajst-18329	16	7	methods	method	NOUN
ajst-18329	16	8	of	of	ADP
ajst-18329	16	9	rolling	rolling	ADJ
ajst-18329	16	10	bearings	bearing	NOUN
ajst-18329	16	11	mainly	mainly	ADV
ajst-18329	16	12	include	include	VERB
ajst-18329	16	13	methods	method	NOUN
ajst-18329	16	14	based	base	VERB
ajst-18329	16	15	on	on	ADP
ajst-18329	16	16	signal	signal	NOUN
ajst-18329	16	17	processing	processing	NOUN
ajst-18329	16	18	,	,	PUNCT
ajst-18329	16	19	modelbased	modelbase	VERB
ajst-18329	16	20	methods	method	NOUN
ajst-18329	16	21	and	and	CCONJ
ajst-18329	16	22	deep	deep	ADJ
ajst-18329	16	23	learning	learning	NOUN
ajst-18329	16	24	methods	method	NOUN
ajst-18329	16	25	[	[	X
ajst-18329	16	26	3	3	NUM
ajst-18329	16	27	]	]	PUNCT
ajst-18329	16	28	.	.	PUNCT
ajst-18329	17	1	however	however	ADV
ajst-18329	17	2	,	,	PUNCT
ajst-18329	17	3	in	in	ADP
ajst-18329	17	4	the	the	DET
ajst-18329	17	5	actual	actual	ADJ
ajst-18329	17	6	situation	situation	NOUN
ajst-18329	17	7	,	,	PUNCT
ajst-18329	17	8	due	due	ADP
ajst-18329	17	9	to	to	ADP
ajst-18329	17	10	noise	noise	NOUN
ajst-18329	17	11	disturbance	disturbance	NOUN
ajst-18329	17	12	,	,	PUNCT
ajst-18329	17	13	modeling	model	VERB
ajst-18329	17	14	error	error	NOUN
ajst-18329	17	15	and	and	CCONJ
ajst-18329	17	16	other	other	ADJ
ajst-18329	17	17	reasons	reason	NOUN
ajst-18329	17	18	,	,	PUNCT
ajst-18329	17	19	it	it	PRON
ajst-18329	17	20	is	be	AUX
ajst-18329	17	21	difficult	difficult	ADJ
ajst-18329	17	22	to	to	PART
ajst-18329	17	23	establish	establish	VERB
ajst-18329	17	24	an	an	DET
ajst-18329	17	25	accurate	accurate	ADJ
ajst-18329	17	26	model	model	NOUN
ajst-18329	17	27	,	,	PUNCT
ajst-18329	17	28	which	which	PRON
ajst-18329	17	29	makes	make	VERB
ajst-18329	17	30	the	the	DET
ajst-18329	17	31	fault	fault	NOUN
ajst-18329	17	32	diagnosis	diagnosis	NOUN
ajst-18329	17	33	effect	effect	NOUN
ajst-18329	17	34	poor	poor	ADJ
ajst-18329	17	35	,	,	PUNCT
ajst-18329	17	36	relatively	relatively	ADV
ajst-18329	17	37	speaking	speak	VERB
ajst-18329	17	38	,	,	PUNCT
ajst-18329	17	39	the	the	DET
ajst-18329	17	40	latter	latter	ADJ
ajst-18329	17	41	two	two	NUM
ajst-18329	17	42	methods	method	NOUN
ajst-18329	17	43	are	be	AUX
ajst-18329	17	44	more	more	ADV
ajst-18329	17	45	popular	popular	ADJ
ajst-18329	17	46	with	with	ADP
ajst-18329	17	47	researchers	researcher	NOUN
ajst-18329	17	48	at	at	ADP
ajst-18329	17	49	home	home	NOUN
ajst-18329	17	50	and	and	CCONJ
ajst-18329	17	51	abroad	abroad	ADV
ajst-18329	17	52	.	.	PUNCT
ajst-18329	18	1	in	in	ADP
ajst-18329	18	2	literature	literature	NOUN
ajst-18329	18	3	[	[	X
ajst-18329	18	4	4	4	NUM
ajst-18329	18	5	]	]	PUNCT
ajst-18329	18	6	,	,	PUNCT
ajst-18329	18	7	the	the	DET
ajst-18329	18	8	bearing	bear	VERB
ajst-18329	18	9	vibration	vibration	NOUN
ajst-18329	18	10	acceleration	acceleration	NOUN
ajst-18329	18	11	signal	signal	NOUN
ajst-18329	18	12	is	be	AUX
ajst-18329	18	13	converted	convert	VERB
ajst-18329	18	14	into	into	ADP
ajst-18329	18	15	frequency	frequency	NOUN
ajst-18329	18	16	domain	domain	NOUN
ajst-18329	18	17	signal	signal	NOUN
ajst-18329	18	18	by	by	ADP
ajst-18329	18	19	fast	fast	ADJ
ajst-18329	18	20	fourier	fourier	NOUN
ajst-18329	18	21	transform	transform	NOUN
ajst-18329	18	22	,	,	PUNCT
ajst-18329	18	23	and	and	CCONJ
ajst-18329	18	24	the	the	DET
ajst-18329	18	25	signal	signal	NOUN
ajst-18329	18	26	features	feature	NOUN
ajst-18329	18	27	are	be	AUX
ajst-18329	18	28	extracted	extract	VERB
ajst-18329	18	29	by	by	ADP
ajst-18329	18	30	1d	1d	NUM
ajst-18329	18	31	-	-	PUNCT
ajst-18329	18	32	cnn	cnn	NOUN
ajst-18329	18	33	for	for	ADP
ajst-18329	18	34	fault	fault	NOUN
ajst-18329	18	35	diagnosis	diagnosis	NOUN
ajst-18329	18	36	.	.	PUNCT
ajst-18329	19	1	in	in	ADP
ajst-18329	19	2	literature	literature	NOUN
ajst-18329	19	3	[	[	X
ajst-18329	19	4	5	5	NUM
ajst-18329	19	5	]	]	PUNCT
ajst-18329	19	6	,	,	PUNCT
ajst-18329	19	7	eemd	eemd	PROPN
ajst-18329	19	8	was	be	AUX
ajst-18329	19	9	first	first	ADV
ajst-18329	19	10	used	use	VERB
ajst-18329	19	11	to	to	PART
ajst-18329	19	12	decompose	decompose	VERB
ajst-18329	19	13	the	the	DET
ajst-18329	19	14	original	original	ADJ
ajst-18329	19	15	signal	signal	NOUN
ajst-18329	19	16	to	to	PART
ajst-18329	19	17	extract	extract	VERB
ajst-18329	19	18	its	its	PRON
ajst-18329	19	19	energy	energy	NOUN
ajst-18329	19	20	features	feature	NOUN
ajst-18329	19	21	,	,	PUNCT
ajst-18329	19	22	and	and	CCONJ
ajst-18329	19	23	then	then	ADV
ajst-18329	19	24	the	the	DET
ajst-18329	19	25	feature	feature	NOUN
ajst-18329	19	26	set	set	VERB
ajst-18329	19	27	was	be	AUX
ajst-18329	19	28	input	input	NOUN
ajst-18329	19	29	into	into	ADP
ajst-18329	19	30	the	the	DET
ajst-18329	19	31	svm	svm	ADJ
ajst-18329	19	32	model	model	NOUN
ajst-18329	19	33	optimized	optimize	VERB
ajst-18329	19	34	by	by	ADP
ajst-18329	19	35	differential	differential	ADJ
ajst-18329	19	36	evolution	evolution	NOUN
ajst-18329	19	37	algorithm	algorithm	NOUN
ajst-18329	19	38	to	to	PART
ajst-18329	19	39	identify	identify	VERB
ajst-18329	19	40	and	and	CCONJ
ajst-18329	19	41	monitor	monitor	VERB
ajst-18329	19	42	high	high	ADJ
ajst-18329	19	43	-	-	PUNCT
ajst-18329	19	44	speed	speed	NOUN
ajst-18329	19	45	bearings	bearing	NOUN
ajst-18329	19	46	.	.	PUNCT
ajst-18329	20	1	in	in	ADP
ajst-18329	20	2	literature	literature	NOUN
ajst-18329	20	3	[	[	X
ajst-18329	20	4	6	6	NUM
ajst-18329	20	5	]	]	PUNCT
ajst-18329	20	6	,	,	PUNCT
ajst-18329	20	7	an	an	DET
ajst-18329	20	8	improved	improved	ADJ
ajst-18329	20	9	coarse	coarse	ADV
ajst-18329	20	10	-	-	PUNCT
ajst-18329	20	11	grained	grain	VERB
ajst-18329	20	12	multiscale	multiscale	NOUN
ajst-18329	20	13	dispersal	dispersal	NOUN
ajst-18329	20	14	entropy	entropy	NOUN
ajst-18329	20	15	is	be	AUX
ajst-18329	20	16	proposed	propose	VERB
ajst-18329	20	17	.	.	PUNCT
ajst-18329	21	1	after	after	SCONJ
ajst-18329	21	2	the	the	DET
ajst-18329	21	3	vibration	vibration	NOUN
ajst-18329	21	4	data	datum	NOUN
ajst-18329	21	5	is	be	AUX
ajst-18329	21	6	decomposed	decompose	VERB
ajst-18329	21	7	by	by	ADP
ajst-18329	21	8	variational	variational	ADJ
ajst-18329	21	9	mode	mode	NOUN
ajst-18329	21	10	decomposition	decomposition	NOUN
ajst-18329	21	11	and	and	CCONJ
ajst-18329	21	12	the	the	DET
ajst-18329	21	13	optimal	optimal	ADJ
ajst-18329	21	14	imf	imf	PROPN
ajst-18329	21	15	component	component	NOUN
ajst-18329	21	16	is	be	AUX
ajst-18329	21	17	selected	select	VERB
ajst-18329	21	18	according	accord	VERB
ajst-18329	21	19	to	to	ADP
ajst-18329	21	20	the	the	DET
ajst-18329	21	21	mutual	mutual	ADJ
ajst-18329	21	22	relation	relation	NOUN
ajst-18329	21	23	number	number	NOUN
ajst-18329	21	24	,	,	PUNCT
ajst-18329	21	25	the	the	DET
ajst-18329	21	26	nonlinear	nonlinear	ADJ
ajst-18329	21	27	features	feature	NOUN
ajst-18329	21	28	of	of	ADP
ajst-18329	21	29	imf	imf	PROPN
ajst-18329	21	30	component	component	NOUN
ajst-18329	21	31	are	be	AUX
ajst-18329	21	32	extracted	extract	VERB
ajst-18329	21	33	by	by	ADP
ajst-18329	21	34	this	this	DET
ajst-18329	21	35	improved	improve	VERB
ajst-18329	21	36	method	method	NOUN
ajst-18329	21	37	and	and	CCONJ
ajst-18329	21	38	the	the	DET
ajst-18329	21	39	fault	fault	NOUN
ajst-18329	21	40	diagnosis	diagnosis	NOUN
ajst-18329	21	41	is	be	AUX
ajst-18329	21	42	performed	perform	VERB
ajst-18329	21	43	by	by	ADP
ajst-18329	21	44	pnn	pnn	PROPN
ajst-18329	21	45	.	.	PUNCT
ajst-18329	22	1	in	in	ADP
ajst-18329	22	2	literature	literature	NOUN
ajst-18329	22	3	[	[	X
ajst-18329	22	4	7	7	NUM
ajst-18329	22	5	]	]	PUNCT
ajst-18329	22	6	,	,	PUNCT
ajst-18329	22	7	the	the	DET
ajst-18329	22	8	optimal	optimal	ADJ
ajst-18329	22	9	parameters	parameter	NOUN
ajst-18329	22	10	of	of	ADP
ajst-18329	22	11	morlet	morlet	PROPN
ajst-18329	22	12	wavelet	wavelet	NOUN
ajst-18329	22	13	were	be	AUX
ajst-18329	22	14	determined	determine	VERB
ajst-18329	22	15	by	by	ADP
ajst-18329	22	16	pso	pso	NOUN
ajst-18329	22	17	,	,	PUNCT
ajst-18329	22	18	and	and	CCONJ
ajst-18329	22	19	combined	combined	ADJ
ajst-18329	22	20	envelope	envelope	NOUN
ajst-18329	22	21	demodulation	demodulation	NOUN
ajst-18329	22	22	based	base	VERB
ajst-18329	22	23	on	on	ADP
ajst-18329	22	24	iterative	iterative	NOUN
ajst-18329	22	25	two	two	NUM
ajst-18329	22	26	-	-	PUNCT
ajst-18329	22	27	mean	mean	NOUN
ajst-18329	22	28	improvement	improvement	NOUN
ajst-18329	22	29	of	of	ADP
ajst-18329	22	30	kurtosis	kurtosis	NOUN
ajst-18329	22	31	index	index	NOUN
ajst-18329	22	32	was	be	AUX
ajst-18329	22	33	used	use	VERB
ajst-18329	22	34	to	to	PART
ajst-18329	22	35	classify	classify	VERB
ajst-18329	22	36	rolling	rolling	ADJ
ajst-18329	22	37	bearing	bearing	NOUN
ajst-18329	22	38	faults	fault	NOUN
ajst-18329	22	39	.	.	PUNCT
ajst-18329	23	1	in	in	ADP
ajst-18329	23	2	literature	literature	NOUN
ajst-18329	23	3	[	[	X
ajst-18329	23	4	8	8	NUM
ajst-18329	23	5	]	]	PUNCT
ajst-18329	23	6	,	,	PUNCT
ajst-18329	23	7	principal	principal	ADJ
ajst-18329	23	8	component	component	NOUN
ajst-18329	23	9	analysis	analysis	NOUN
ajst-18329	23	10	is	be	AUX
ajst-18329	23	11	used	use	VERB
ajst-18329	23	12	to	to	PART
ajst-18329	23	13	reduce	reduce	VERB
ajst-18329	23	14	the	the	DET
ajst-18329	23	15	dimensionality	dimensionality	NOUN
ajst-18329	23	16	of	of	ADP
ajst-18329	23	17	the	the	DET
ajst-18329	23	18	original	original	ADJ
ajst-18329	23	19	vibration	vibration	NOUN
ajst-18329	23	20	data	datum	NOUN
ajst-18329	23	21	and	and	CCONJ
ajst-18329	23	22	extract	extract	VERB
ajst-18329	23	23	corresponding	corresponding	ADJ
ajst-18329	23	24	features	feature	NOUN
ajst-18329	23	25	.	.	PUNCT
ajst-18329	24	1	finally	finally	ADV
ajst-18329	24	2	,	,	PUNCT
ajst-18329	24	3	deep	deep	ADJ
ajst-18329	24	4	belief	belief	NOUN
ajst-18329	24	5	network	network	NOUN
ajst-18329	24	6	is	be	AUX
ajst-18329	24	7	used	use	VERB
ajst-18329	24	8	to	to	PART
ajst-18329	24	9	realize	realize	VERB
ajst-18329	24	10	fault	fault	NOUN
ajst-18329	24	11	diagnosis	diagnosis	NOUN
ajst-18329	24	12	.	.	PUNCT
ajst-18329	25	1	in	in	ADP
ajst-18329	25	2	literature	literature	NOUN
ajst-18329	25	3	[	[	X
ajst-18329	25	4	9	9	NUM
ajst-18329	25	5	]	]	PUNCT
ajst-18329	25	6	,	,	PUNCT
ajst-18329	25	7	multiple	multiple	ADJ
ajst-18329	25	8	attention	attention	NOUN
ajst-18329	25	9	modules	module	NOUN
ajst-18329	25	10	are	be	AUX
ajst-18329	25	11	introduced	introduce	VERB
ajst-18329	25	12	on	on	ADP
ajst-18329	25	13	the	the	DET
ajst-18329	25	14	basis	basis	NOUN
ajst-18329	25	15	of	of	ADP
ajst-18329	25	16	onedimensional	onedimensional	ADJ
ajst-18329	25	17	convolutional	convolutional	ADJ
ajst-18329	25	18	neural	neural	ADJ
ajst-18329	25	19	networks	network	NOUN
ajst-18329	25	20	to	to	PART
ajst-18329	25	21	improve	improve	VERB
ajst-18329	25	22	diagnosis	diagnosis	NOUN
ajst-18329	25	23	accuracy	accuracy	NOUN
ajst-18329	25	24	by	by	ADP
ajst-18329	25	25	enhancing	enhance	VERB
ajst-18329	25	26	fault	fault	NOUN
ajst-18329	25	27	correlation	correlation	NOUN
ajst-18329	25	28	features	feature	NOUN
ajst-18329	25	29	.	.	PUNCT
ajst-18329	26	1	although	although	SCONJ
ajst-18329	26	2	the	the	DET
ajst-18329	26	3	above	above	ADJ
ajst-18329	26	4	research	research	NOUN
ajst-18329	26	5	methods	method	NOUN
ajst-18329	26	6	have	have	AUX
ajst-18329	26	7	obtained	obtain	VERB
ajst-18329	26	8	good	good	ADJ
ajst-18329	26	9	diagnostic	diagnostic	ADJ
ajst-18329	26	10	results	result	NOUN
ajst-18329	26	11	,	,	PUNCT
ajst-18329	26	12	the	the	DET
ajst-18329	26	13	bearing	bear	VERB
ajst-18329	26	14	vibration	vibration	NOUN
ajst-18329	26	15	data	datum	NOUN
ajst-18329	26	16	is	be	AUX
ajst-18329	26	17	inevitably	inevitably	ADV
ajst-18329	26	18	polluted	pollute	VERB
ajst-18329	26	19	by	by	ADP
ajst-18329	26	20	noise	noise	NOUN
ajst-18329	26	21	in	in	ADP
ajst-18329	26	22	the	the	DET
ajst-18329	26	23	collection	collection	NOUN
ajst-18329	26	24	process	process	NOUN
ajst-18329	26	25	,	,	PUNCT
ajst-18329	26	26	and	and	CCONJ
ajst-18329	26	27	these	these	DET
ajst-18329	26	28	noises	noise	NOUN
ajst-18329	26	29	will	will	AUX
ajst-18329	26	30	cover	cover	VERB
ajst-18329	26	31	up	up	ADP
ajst-18329	26	32	the	the	DET
ajst-18329	26	33	original	original	ADJ
ajst-18329	26	34	signal	signal	NOUN
ajst-18329	26	35	data	datum	NOUN
ajst-18329	26	36	,	,	PUNCT
ajst-18329	26	37	and	and	CCONJ
ajst-18329	26	38	have	have	VERB
ajst-18329	26	39	a	a	DET
ajst-18329	26	40	certain	certain	ADJ
ajst-18329	26	41	impact	impact	NOUN
ajst-18329	26	42	on	on	ADP
ajst-18329	26	43	the	the	DET
ajst-18329	26	44	subsequent	subsequent	ADJ
ajst-18329	26	45	feature	feature	NOUN
ajst-18329	26	46	extraction	extraction	NOUN
ajst-18329	26	47	and	and	CCONJ
ajst-18329	26	48	fault	fault	VERB
ajst-18329	26	49	diagnosis	diagnosis	NOUN
ajst-18329	26	50	.	.	PUNCT
ajst-18329	27	1	in	in	ADP
ajst-18329	27	2	order	order	NOUN
ajst-18329	27	3	to	to	PART
ajst-18329	27	4	solve	solve	VERB
ajst-18329	27	5	the	the	DET
ajst-18329	27	6	noise	noise	NOUN
ajst-18329	27	7	problem	problem	NOUN
ajst-18329	27	8	of	of	ADP
ajst-18329	27	9	the	the	DET
ajst-18329	27	10	original	original	ADJ
ajst-18329	27	11	signal	signal	NOUN
ajst-18329	27	12	,	,	PUNCT
ajst-18329	27	13	literature	literature	NOUN
ajst-18329	27	14	[	[	X
ajst-18329	27	15	10	10	NUM
ajst-18329	27	16	]	]	PUNCT
ajst-18329	27	17	firstly	firstly	ADV
ajst-18329	27	18	uses	use	VERB
ajst-18329	27	19	ceemdan	ceemdan	PROPN
ajst-18329	27	20	(	(	PUNCT
ajst-18329	27	21	adaptive	adaptive	ADJ
ajst-18329	27	22	noise	noise	NOUN
ajst-18329	27	23	complete	complete	ADJ
ajst-18329	27	24	set	set	VERB
ajst-18329	27	25	empirical	empirical	ADJ
ajst-18329	27	26	mode	mode	NOUN
ajst-18329	27	27	decomposition	decomposition	NOUN
ajst-18329	27	28	)	)	PUNCT
ajst-18329	27	29	to	to	PART
ajst-18329	27	30	decompose	decompose	VERB
ajst-18329	27	31	the	the	DET
ajst-18329	27	32	original	original	ADJ
ajst-18329	27	33	signal	signal	NOUN
ajst-18329	27	34	,	,	PUNCT
ajst-18329	27	35	and	and	CCONJ
ajst-18329	27	36	combines	combine	VERB
ajst-18329	27	37	wavelet	wavelet	NOUN
ajst-18329	27	38	threshold	threshold	NOUN
ajst-18329	27	39	(	(	PUNCT
ajst-18329	27	40	wt	wt	NOUN
ajst-18329	27	41	)	)	PUNCT
ajst-18329	27	42	for	for	ADP
ajst-18329	27	43	noise	noise	NOUN
ajst-18329	27	44	reduction	reduction	NOUN
ajst-18329	27	45	.	.	PUNCT
ajst-18329	28	1	after	after	ADP
ajst-18329	28	2	signal	signal	ADJ
ajst-18329	28	3	decomposition	decomposition	NOUN
ajst-18329	28	4	,	,	PUNCT
ajst-18329	28	5	cmse	cmse	PROPN
ajst-18329	28	6	is	be	AUX
ajst-18329	28	7	used	use	VERB
ajst-18329	28	8	to	to	PART
ajst-18329	28	9	select	select	VERB
ajst-18329	28	10	noisy	noisy	ADJ
ajst-18329	28	11	components	component	NOUN
ajst-18329	28	12	,	,	PUNCT
ajst-18329	28	13	and	and	CCONJ
ajst-18329	28	14	then	then	ADV
ajst-18329	28	15	wt	wt	INTJ
ajst-18329	28	16	is	be	AUX
ajst-18329	28	17	used	use	VERB
ajst-18329	28	18	for	for	ADP
ajst-18329	28	19	noise	noise	NOUN
ajst-18329	28	20	reduction	reduction	NOUN
ajst-18329	28	21	of	of	ADP
ajst-18329	28	22	these	these	DET
ajst-18329	28	23	components	component	NOUN
ajst-18329	28	24	.	.	PUNCT
ajst-18329	29	1	the	the	DET
ajst-18329	29	2	vibration	vibration	NOUN
ajst-18329	29	3	signal	signal	NOUN
ajst-18329	29	4	after	after	SCONJ
ajst-18329	29	5	noise	noise	NOUN
ajst-18329	29	6	reduction	reduction	NOUN
ajst-18329	29	7	is	be	AUX
ajst-18329	29	8	reconstructed	reconstruct	VERB
ajst-18329	29	9	with	with	ADP
ajst-18329	29	10	other	other	ADJ
ajst-18329	29	11	components	component	NOUN
ajst-18329	29	12	,	,	PUNCT
ajst-18329	29	13	and	and	CCONJ
ajst-18329	29	14	the	the	DET
ajst-18329	29	15	experiment	experiment	NOUN
ajst-18329	29	16	shows	show	VERB
ajst-18329	29	17	that	that	SCONJ
ajst-18329	29	18	the	the	DET
ajst-18329	29	19	method	method	NOUN
ajst-18329	29	20	has	have	VERB
ajst-18329	29	21	a	a	DET
ajst-18329	29	22	good	good	ADJ
ajst-18329	29	23	effect	effect	NOUN
ajst-18329	29	24	of	of	ADP
ajst-18329	29	25	noise	noise	NOUN
ajst-18329	29	26	reduction	reduction	NOUN
ajst-18329	29	27	.	.	PUNCT
ajst-18329	30	1	in	in	ADP
ajst-18329	30	2	literature	literature	NOUN
ajst-18329	30	3	[	[	X
ajst-18329	30	4	11	11	NUM
ajst-18329	30	5	]	]	PUNCT
ajst-18329	30	6	,	,	PUNCT
ajst-18329	30	7	in	in	ADP
ajst-18329	30	8	order	order	NOUN
ajst-18329	30	9	to	to	PART
ajst-18329	30	10	solve	solve	VERB
ajst-18329	30	11	the	the	DET
ajst-18329	30	12	problem	problem	NOUN
ajst-18329	30	13	of	of	ADP
ajst-18329	30	14	noise	noise	NOUN
ajst-18329	30	15	interference	interference	NOUN
ajst-18329	30	16	,	,	PUNCT
ajst-18329	30	17	wavelet	wavelet	NOUN
ajst-18329	30	18	threshold	threshold	NOUN
ajst-18329	30	19	de	de	X
ajst-18329	30	20	-	-	ADJ
ajst-18329	30	21	noising	noising	ADJ
ajst-18329	30	22	79	79	NUM
ajst-18329	30	23	algorithm	algorithm	NOUN
ajst-18329	30	24	is	be	AUX
ajst-18329	30	25	used	use	VERB
ajst-18329	30	26	to	to	AUX
ajst-18329	30	27	de	de	NOUN
ajst-18329	30	28	-	-	VERB
ajst-18329	30	29	noise	noise	VERB
ajst-18329	30	30	the	the	DET
ajst-18329	30	31	original	original	ADJ
ajst-18329	30	32	signal	signal	NOUN
ajst-18329	30	33	,	,	PUNCT
ajst-18329	30	34	and	and	CCONJ
ajst-18329	30	35	finally	finally	ADV
ajst-18329	30	36	the	the	DET
ajst-18329	30	37	signal	signal	ADJ
ajst-18329	30	38	frequency	frequency	NOUN
ajst-18329	30	39	is	be	AUX
ajst-18329	30	40	extracted	extract	VERB
ajst-18329	30	41	by	by	ADP
ajst-18329	30	42	combining	combine	VERB
ajst-18329	30	43	the	the	DET
ajst-18329	30	44	analytic	analytic	ADJ
ajst-18329	30	45	mode	mode	NOUN
ajst-18329	30	46	decomposition	decomposition	NOUN
ajst-18329	30	47	algorithm	algorithm	NOUN
ajst-18329	30	48	,	,	PUNCT
ajst-18329	30	49	thus	thus	ADV
ajst-18329	30	50	improving	improve	VERB
ajst-18329	30	51	the	the	DET
ajst-18329	30	52	diagnostic	diagnostic	ADJ
ajst-18329	30	53	accuracy	accuracy	NOUN
ajst-18329	30	54	.	.	PUNCT
ajst-18329	31	1	literature	literature	NOUN
ajst-18329	32	1	[	[	X
ajst-18329	32	2	12	12	NUM
ajst-18329	32	3	]	]	PUNCT
ajst-18329	32	4	proposed	propose	VERB
ajst-18329	32	5	a	a	DET
ajst-18329	32	6	method	method	NOUN
ajst-18329	32	7	combining	combine	VERB
ajst-18329	32	8	emd	emd	PROPN
ajst-18329	32	9	decomposition	decomposition	NOUN
ajst-18329	32	10	and	and	CCONJ
ajst-18329	32	11	probabilistic	probabilistic	ADJ
ajst-18329	32	12	filtering	filtering	NOUN
ajst-18329	32	13	technology	technology	NOUN
ajst-18329	32	14	to	to	PART
ajst-18329	32	15	effectively	effectively	ADV
ajst-18329	32	16	remove	remove	VERB
ajst-18329	32	17	electromagnetic	electromagnetic	ADJ
ajst-18329	32	18	interference	interference	NOUN
ajst-18329	32	19	of	of	ADP
ajst-18329	32	20	rolling	roll	VERB
ajst-18329	32	21	body	body	NOUN
ajst-18329	32	22	bearings	bearing	NOUN
ajst-18329	32	23	.	.	PUNCT
ajst-18329	33	1	although	although	SCONJ
ajst-18329	33	2	the	the	DET
ajst-18329	33	3	above	above	ADJ
ajst-18329	33	4	research	research	NOUN
ajst-18329	33	5	carried	carry	VERB
ajst-18329	33	6	out	out	ADP
ajst-18329	33	7	noise	noise	NOUN
ajst-18329	33	8	reduction	reduction	NOUN
ajst-18329	33	9	processing	processing	NOUN
ajst-18329	33	10	on	on	ADP
ajst-18329	33	11	the	the	DET
ajst-18329	33	12	original	original	ADJ
ajst-18329	33	13	signal	signal	NOUN
ajst-18329	33	14	,	,	PUNCT
ajst-18329	33	15	the	the	DET
ajst-18329	33	16	one	one	NUM
ajst-18329	33	17	-	-	PUNCT
ajst-18329	33	18	dimensional	dimensional	ADJ
ajst-18329	33	19	model	model	NOUN
ajst-18329	33	20	was	be	AUX
ajst-18329	33	21	generally	generally	ADV
ajst-18329	33	22	used	use	VERB
ajst-18329	33	23	for	for	ADP
ajst-18329	33	24	diagnosis	diagnosis	NOUN
ajst-18329	33	25	,	,	PUNCT
ajst-18329	33	26	and	and	CCONJ
ajst-18329	33	27	the	the	DET
ajst-18329	33	28	signal	signal	NOUN
ajst-18329	33	29	features	feature	NOUN
ajst-18329	33	30	could	could	AUX
ajst-18329	33	31	not	not	PART
ajst-18329	33	32	be	be	AUX
ajst-18329	33	33	well	well	ADV
ajst-18329	33	34	extracted	extract	VERB
ajst-18329	33	35	,	,	PUNCT
ajst-18329	33	36	thus	thus	ADV
ajst-18329	33	37	reducing	reduce	VERB
ajst-18329	33	38	the	the	DET
ajst-18329	33	39	diagnostic	diagnostic	ADJ
ajst-18329	33	40	accuracy	accuracy	NOUN
ajst-18329	33	41	.	.	PUNCT
ajst-18329	34	1	to	to	PART
ajst-18329	34	2	solve	solve	VERB
ajst-18329	34	3	these	these	DET
ajst-18329	34	4	problems	problem	NOUN
ajst-18329	34	5	,	,	PUNCT
ajst-18329	34	6	this	this	DET
ajst-18329	34	7	paper	paper	NOUN
ajst-18329	34	8	proposes	propose	VERB
ajst-18329	34	9	a	a	DET
ajst-18329	34	10	wavelet	wavelet	NOUN
ajst-18329	34	11	packet	packet	NOUN
ajst-18329	34	12	threshold	threshold	NOUN
ajst-18329	34	13	(	(	PUNCT
ajst-18329	34	14	wpt	wpt	PROPN
ajst-18329	34	15	)	)	PUNCT
ajst-18329	34	16	algorithm	algorithm	NOUN
ajst-18329	34	17	based	base	VERB
ajst-18329	34	18	on	on	ADP
ajst-18329	34	19	variational	variational	ADJ
ajst-18329	34	20	mode	mode	NOUN
ajst-18329	34	21	decomposition	decomposition	NOUN
ajst-18329	34	22	(	(	PUNCT
ajst-18329	34	23	vmd	vmd	NOUN
ajst-18329	34	24	)	)	PUNCT
ajst-18329	34	25	.	.	PUNCT
ajst-18329	35	1	first	first	ADV
ajst-18329	35	2	,	,	PUNCT
ajst-18329	35	3	vmd	vmd	PROPN
ajst-18329	35	4	was	be	AUX
ajst-18329	35	5	used	use	VERB
ajst-18329	35	6	to	to	PART
ajst-18329	35	7	decompose	decompose	VERB
ajst-18329	35	8	the	the	DET
ajst-18329	35	9	original	original	ADJ
ajst-18329	35	10	signal	signal	NOUN
ajst-18329	35	11	,	,	PUNCT
ajst-18329	35	12	and	and	CCONJ
ajst-18329	35	13	the	the	DET
ajst-18329	35	14	imf	imf	PROPN
ajst-18329	35	15	component	component	NOUN
ajst-18329	35	16	containing	contain	VERB
ajst-18329	35	17	noise	noise	NOUN
ajst-18329	35	18	was	be	AUX
ajst-18329	35	19	found	find	VERB
ajst-18329	35	20	by	by	ADP
ajst-18329	35	21	calculating	calculate	VERB
ajst-18329	35	22	the	the	DET
ajst-18329	35	23	mutual	mutual	ADJ
ajst-18329	35	24	relation	relation	NOUN
ajst-18329	35	25	number	number	NOUN
ajst-18329	35	26	.	.	PUNCT
ajst-18329	36	1	in	in	ADP
ajst-18329	36	2	order	order	NOUN
ajst-18329	36	3	to	to	PART
ajst-18329	36	4	obtain	obtain	VERB
ajst-18329	36	5	the	the	DET
ajst-18329	36	6	pure	pure	ADJ
ajst-18329	36	7	signal	signal	NOUN
ajst-18329	36	8	,	,	PUNCT
ajst-18329	36	9	the	the	DET
ajst-18329	36	10	remaining	remain	VERB
ajst-18329	36	11	components	component	NOUN
ajst-18329	36	12	without	without	ADP
ajst-18329	36	13	noise	noise	NOUN
ajst-18329	36	14	were	be	AUX
ajst-18329	36	15	reconstructed	reconstruct	VERB
ajst-18329	36	16	with	with	ADP
ajst-18329	36	17	the	the	DET
ajst-18329	36	18	imf	imf	PROPN
ajst-18329	36	19	component	component	NOUN
ajst-18329	36	20	treated	treat	VERB
ajst-18329	36	21	with	with	ADP
ajst-18329	36	22	wpt	wpt	PROPN
ajst-18329	36	23	noise	noise	NOUN
ajst-18329	36	24	reduction	reduction	NOUN
ajst-18329	36	25	.	.	PUNCT
ajst-18329	37	1	as	as	SCONJ
ajst-18329	37	2	onedimensional	onedimensional	ADJ
ajst-18329	37	3	diagnostic	diagnostic	ADJ
ajst-18329	37	4	model	model	NOUN
ajst-18329	37	5	is	be	AUX
ajst-18329	37	6	difficult	difficult	ADJ
ajst-18329	37	7	to	to	PART
ajst-18329	37	8	train	train	VERB
ajst-18329	37	9	and	and	CCONJ
ajst-18329	37	10	feature	feature	NOUN
ajst-18329	37	11	extraction	extraction	NOUN
ajst-18329	37	12	is	be	AUX
ajst-18329	37	13	single	single	ADJ
ajst-18329	37	14	,	,	PUNCT
ajst-18329	37	15	this	this	DET
ajst-18329	37	16	paper	paper	NOUN
ajst-18329	37	17	will	will	AUX
ajst-18329	37	18	also	also	ADV
ajst-18329	37	19	build	build	VERB
ajst-18329	37	20	visiontransformer	visiontransformer	NOUN
ajst-18329	37	21	model	model	NOUN
ajst-18329	37	22	and	and	CCONJ
ajst-18329	37	23	input	input	NOUN
ajst-18329	37	24	de	de	ADJ
ajst-18329	37	25	-	-	ADJ
ajst-18329	37	26	noised	noised	ADJ
ajst-18329	37	27	data	datum	NOUN
ajst-18329	37	28	into	into	ADP
ajst-18329	37	29	the	the	DET
ajst-18329	37	30	model	model	NOUN
ajst-18329	37	31	after	after	ADP
ajst-18329	37	32	converting	convert	VERB
ajst-18329	37	33	it	it	PRON
ajst-18329	37	34	into	into	ADP
ajst-18329	37	35	two	two	NUM
ajst-18329	37	36	-	-	PUNCT
ajst-18329	37	37	dimensional	dimensional	ADJ
ajst-18329	37	38	grayscale	grayscale	NOUN
ajst-18329	37	39	images	image	NOUN
ajst-18329	37	40	to	to	PART
ajst-18329	37	41	extract	extract	VERB
ajst-18329	37	42	multi	multi	ADJ
ajst-18329	37	43	-	-	ADJ
ajst-18329	37	44	scale	scale	ADJ
ajst-18329	37	45	features	feature	NOUN
ajst-18329	37	46	to	to	PART
ajst-18329	37	47	improve	improve	VERB
ajst-18329	37	48	diagnostic	diagnostic	ADJ
ajst-18329	37	49	accuracy	accuracy	NOUN
ajst-18329	37	50	.	.	PUNCT
ajst-18329	38	1	the	the	DET
ajst-18329	38	2	feasibility	feasibility	NOUN
ajst-18329	38	3	and	and	CCONJ
ajst-18329	38	4	effectiveness	effectiveness	NOUN
ajst-18329	38	5	of	of	ADP
ajst-18329	38	6	the	the	DET
ajst-18329	38	7	proposed	propose	VERB
ajst-18329	38	8	method	method	NOUN
ajst-18329	38	9	are	be	AUX
ajst-18329	38	10	verified	verify	VERB
ajst-18329	38	11	by	by	ADP
ajst-18329	38	12	fault	fault	NOUN
ajst-18329	38	13	diagnosis	diagnosis	NOUN
ajst-18329	38	14	of	of	ADP
ajst-18329	38	15	different	different	ADJ
ajst-18329	38	16	parts	part	NOUN
ajst-18329	38	17	of	of	ADP
ajst-18329	38	18	rolling	rolling	ADJ
ajst-18329	38	19	bearing	bearing	NOUN
ajst-18329	38	20	damage	damage	NOUN
ajst-18329	38	21	in	in	ADP
ajst-18329	38	22	cwru	cwru	PROPN
ajst-18329	38	23	data	datum	NOUN
ajst-18329	38	24	set	set	VERB
ajst-18329	38	25	.	.	PUNCT
ajst-18329	39	1	2	2	X
ajst-18329	39	2	.	.	X
ajst-18329	39	3	vmd	vmd	PROPN
ajst-18329	39	4	-	-	ADJ
ajst-18329	39	5	wpt	wpt	PROPN
ajst-18329	39	6	joint	joint	ADJ
ajst-18329	39	7	noise	noise	NOUN
ajst-18329	39	8	reduction	reduction	NOUN
ajst-18329	39	9	principle	principle	NOUN
ajst-18329	39	10	2.1	2.1	NUM
ajst-18329	39	11	.	.	PUNCT
ajst-18329	40	1	vmd	vmd	PROPN
ajst-18329	40	2	decomposition	decomposition	PROPN
ajst-18329	40	3	principle	principle	NOUN
ajst-18329	40	4	variational	variational	ADJ
ajst-18329	40	5	mode	mode	NOUN
ajst-18329	40	6	decomposition	decomposition	NOUN
ajst-18329	40	7	is	be	AUX
ajst-18329	40	8	a	a	DET
ajst-18329	40	9	new	new	ADJ
ajst-18329	40	10	mode	mode	NOUN
ajst-18329	40	11	decomposition	decomposition	NOUN
ajst-18329	40	12	algorithm	algorithm	NOUN
ajst-18329	40	13	proposed	propose	VERB
ajst-18329	40	14	by	by	ADP
ajst-18329	40	15	konstantin	konstantin	PROPN
ajst-18329	40	16	et	et	PROPN
ajst-18329	40	17	al	al	PROPN
ajst-18329	40	18	in	in	ADP
ajst-18329	40	19	2014	2014	NUM
ajst-18329	40	20	.	.	PUNCT
ajst-18329	41	1	compared	compare	VERB
ajst-18329	41	2	with	with	ADP
ajst-18329	41	3	the	the	DET
ajst-18329	41	4	decomposition	decomposition	NOUN
ajst-18329	41	5	algorithms	algorithm	NOUN
ajst-18329	41	6	of	of	ADP
ajst-18329	41	7	emd	emd	PROPN
ajst-18329	41	8	family	family	NOUN
ajst-18329	41	9	,	,	PUNCT
ajst-18329	41	10	such	such	ADJ
ajst-18329	41	11	as	as	ADP
ajst-18329	41	12	emd	emd	PROPN
ajst-18329	41	13	,	,	PUNCT
ajst-18329	41	14	eemd	eemd	PROPN
ajst-18329	41	15	,	,	PUNCT
ajst-18329	41	16	ceemdan	ceemdan	PROPN
ajst-18329	41	17	,	,	PUNCT
ajst-18329	41	18	iceemdan	iceemdan	PROPN
ajst-18329	41	19	,	,	PUNCT
ajst-18329	41	20	etc	etc	X
ajst-18329	41	21	.	.	X
ajst-18329	41	22	,	,	PUNCT
ajst-18329	41	23	vmd	vmd	PROPN
ajst-18329	41	24	does	do	AUX
ajst-18329	41	25	not	not	PART
ajst-18329	41	26	need	need	VERB
ajst-18329	41	27	to	to	PART
ajst-18329	41	28	add	add	VERB
ajst-18329	41	29	gaussian	gaussian	ADJ
ajst-18329	41	30	noise	noise	NOUN
ajst-18329	41	31	before	before	ADP
ajst-18329	41	32	decomposition	decomposition	NOUN
ajst-18329	41	33	.	.	PUNCT
ajst-18329	42	1	although	although	SCONJ
ajst-18329	42	2	ceemdan	ceemdan	PROPN
ajst-18329	42	3	and	and	CCONJ
ajst-18329	42	4	other	other	ADJ
ajst-18329	42	5	algorithms	algorithm	NOUN
ajst-18329	42	6	add	add	VERB
ajst-18329	42	7	white	white	ADJ
ajst-18329	42	8	noise	noise	NOUN
ajst-18329	42	9	of	of	ADP
ajst-18329	42	10	positive	positive	ADJ
ajst-18329	42	11	and	and	CCONJ
ajst-18329	42	12	negative	negative	ADJ
ajst-18329	42	13	sequences	sequence	NOUN
ajst-18329	42	14	to	to	PART
ajst-18329	42	15	cancel	cancel	VERB
ajst-18329	42	16	each	each	DET
ajst-18329	42	17	other	other	ADJ
ajst-18329	42	18	in	in	ADP
ajst-18329	42	19	the	the	DET
ajst-18329	42	20	decomposition	decomposition	NOUN
ajst-18329	42	21	process	process	NOUN
ajst-18329	42	22	,	,	PUNCT
ajst-18329	42	23	there	there	PRON
ajst-18329	42	24	are	be	VERB
ajst-18329	42	25	still	still	ADV
ajst-18329	42	26	some	some	DET
ajst-18329	42	27	reconstruction	reconstruction	NOUN
ajst-18329	42	28	errors	error	NOUN
ajst-18329	42	29	.	.	PUNCT
ajst-18329	43	1	variational	variational	ADJ
ajst-18329	43	2	mode	mode	NOUN
ajst-18329	43	3	decomposition	decomposition	NOUN
ajst-18329	43	4	is	be	AUX
ajst-18329	43	5	a	a	DET
ajst-18329	43	6	frequency	frequency	NOUN
ajst-18329	43	7	decomposition	decomposition	NOUN
ajst-18329	43	8	estimation	estimation	NOUN
ajst-18329	43	9	method	method	NOUN
ajst-18329	43	10	[	[	X
ajst-18329	43	11	13	13	NUM
ajst-18329	43	12	]	]	PUNCT
ajst-18329	43	13	,	,	PUNCT
ajst-18329	43	14	which	which	PRON
ajst-18329	43	15	is	be	AUX
ajst-18329	43	16	based	base	VERB
ajst-18329	43	17	on	on	ADP
ajst-18329	43	18	wiener	wiener	NOUN
ajst-18329	43	19	filter	filter	NOUN
ajst-18329	43	20	,	,	PUNCT
ajst-18329	43	21	hilbert	hilbert	NOUN
ajst-18329	43	22	transformer	transformer	NOUN
ajst-18329	43	23	and	and	CCONJ
ajst-18329	43	24	heterodyne	heterodyne	NOUN
ajst-18329	43	25	demodulation	demodulation	NOUN
ajst-18329	43	26	for	for	ADP
ajst-18329	43	27	signal	signal	ADJ
ajst-18329	43	28	decomposition	decomposition	NOUN
ajst-18329	43	29	.	.	PUNCT
ajst-18329	44	1	using	use	VERB
ajst-18329	44	2	vmd	vmd	PROPN
ajst-18329	44	3	to	to	PART
ajst-18329	44	4	process	process	NOUN
ajst-18329	44	5	signals	signal	NOUN
ajst-18329	44	6	can	can	AUX
ajst-18329	44	7	avoid	avoid	VERB
ajst-18329	44	8	disadvantages	disadvantage	NOUN
ajst-18329	44	9	such	such	ADJ
ajst-18329	44	10	as	as	ADP
ajst-18329	44	11	emd	emd	PROPN
ajst-18329	44	12	family	family	NOUN
ajst-18329	44	13	mode	mode	NOUN
ajst-18329	44	14	confusion	confusion	NOUN
ajst-18329	44	15	and	and	CCONJ
ajst-18329	44	16	end	end	NOUN
ajst-18329	44	17	effect	effect	NOUN
ajst-18329	44	18	[	[	X
ajst-18329	44	19	14	14	NUM
ajst-18329	44	20	]	]	PUNCT
ajst-18329	44	21	.	.	PUNCT
ajst-18329	45	1	variational	variational	ADJ
ajst-18329	45	2	mode	mode	NOUN
ajst-18329	45	3	decomposition	decomposition	NOUN
ajst-18329	45	4	is	be	AUX
ajst-18329	45	5	an	an	DET
ajst-18329	45	6	adaptive	adaptive	ADJ
ajst-18329	45	7	decomposition	decomposition	NOUN
ajst-18329	45	8	method	method	NOUN
ajst-18329	45	9	,	,	PUNCT
ajst-18329	45	10	which	which	PRON
ajst-18329	45	11	can	can	AUX
ajst-18329	45	12	determine	determine	VERB
ajst-18329	45	13	the	the	DET
ajst-18329	45	14	number	number	NOUN
ajst-18329	45	15	of	of	ADP
ajst-18329	45	16	imf	imf	PROPN
ajst-18329	45	17	components	component	NOUN
ajst-18329	45	18	required	require	VERB
ajst-18329	45	19	by	by	ADP
ajst-18329	45	20	the	the	DET
ajst-18329	45	21	data	datum	NOUN
ajst-18329	45	22	according	accord	VERB
ajst-18329	45	23	to	to	ADP
ajst-18329	45	24	the	the	DET
ajst-18329	45	25	actual	actual	ADJ
ajst-18329	45	26	situation	situation	NOUN
ajst-18329	45	27	.	.	PUNCT
ajst-18329	46	1	the	the	DET
ajst-18329	46	2	vmd	vmd	PROPN
ajst-18329	46	3	algorithm	algorithm	PROPN
ajst-18329	46	4	decomposed	decompose	VERB
ajst-18329	46	5	the	the	DET
ajst-18329	46	6	actual	actual	ADJ
ajst-18329	46	7	signal	signal	NOUN
ajst-18329	46	8	into	into	ADP
ajst-18329	46	9	several	several	ADJ
ajst-18329	46	10	eigenmodal	eigenmodal	ADJ
ajst-18329	46	11	components	component	NOUN
ajst-18329	46	12	through	through	ADP
ajst-18329	46	13	iterative	iterative	NOUN
ajst-18329	46	14	search	search	NOUN
ajst-18329	46	15	,	,	PUNCT
ajst-18329	46	16	and	and	CCONJ
ajst-18329	46	17	the	the	DET
ajst-18329	46	18	bandwidth	bandwidth	NOUN
ajst-18329	46	19	of	of	ADP
ajst-18329	46	20	these	these	DET
ajst-18329	46	21	components	component	NOUN
ajst-18329	46	22	in	in	ADP
ajst-18329	46	23	the	the	DET
ajst-18329	46	24	frequency	frequency	NOUN
ajst-18329	46	25	domain	domain	NOUN
ajst-18329	46	26	has	have	VERB
ajst-18329	46	27	specific	specific	ADJ
ajst-18329	46	28	sparse	sparse	ADJ
ajst-18329	46	29	properties	property	NOUN
ajst-18329	46	30	[	[	X
ajst-18329	46	31	15	15	NUM
ajst-18329	46	32	]	]	PUNCT
ajst-18329	46	33	.	.	PUNCT
ajst-18329	47	1	the	the	DET
ajst-18329	47	2	decomposition	decomposition	NOUN
ajst-18329	47	3	process	process	NOUN
ajst-18329	47	4	of	of	ADP
ajst-18329	47	5	vmd	vmd	PROPN
ajst-18329	47	6	is	be	AUX
ajst-18329	47	7	actually	actually	ADV
ajst-18329	47	8	the	the	DET
ajst-18329	47	9	process	process	NOUN
ajst-18329	47	10	of	of	ADP
ajst-18329	47	11	finding	find	VERB
ajst-18329	47	12	the	the	DET
ajst-18329	47	13	optimal	optimal	ADJ
ajst-18329	47	14	solution	solution	NOUN
ajst-18329	47	15	of	of	ADP
ajst-18329	47	16	the	the	DET
ajst-18329	47	17	variational	variational	ADJ
ajst-18329	47	18	problem	problem	NOUN
ajst-18329	47	19	,	,	PUNCT
ajst-18329	47	20	which	which	PRON
ajst-18329	47	21	can	can	AUX
ajst-18329	47	22	be	be	AUX
ajst-18329	47	23	realized	realize	VERB
ajst-18329	47	24	by	by	ADP
ajst-18329	47	25	solving	solve	VERB
ajst-18329	47	26	the	the	DET
ajst-18329	47	27	construction	construction	NOUN
ajst-18329	47	28	sum	sum	NOUN
ajst-18329	47	29	of	of	ADP
ajst-18329	47	30	the	the	DET
ajst-18329	47	31	corresponding	corresponding	ADJ
ajst-18329	47	32	variational	variational	ADJ
ajst-18329	47	33	problem	problem	NOUN
ajst-18329	47	34	.	.	PUNCT
ajst-18329	48	1	the	the	DET
ajst-18329	48	2	constrained	constrain	VERB
ajst-18329	48	3	variational	variational	ADJ
ajst-18329	48	4	problems	problem	NOUN
ajst-18329	48	5	corresponding	correspond	VERB
ajst-18329	48	6	to	to	ADP
ajst-18329	48	7	vmd	vmd	PROPN
ajst-18329	48	8	decomposition	decomposition	NOUN
ajst-18329	48	9	are	be	AUX
ajst-18329	48	10	as	as	SCONJ
ajst-18329	48	11	follows	follow	VERB
ajst-18329	48	12	:	:	PUNCT
ajst-18329	48	13	(	(	PUNCT
ajst-18329	48	14	1	1	X
ajst-18329	48	15	)	)	PUNCT
ajst-18329	48	16	among	among	ADP
ajst-18329	48	17	,	,	PUNCT
ajst-18329	48	18	u	u	NOUN
ajst-18329	48	19	u	u	NOUN
ajst-18329	48	20	,	,	PUNCT
ajst-18329	48	21	…	…	PUNCT
ajst-18329	48	22	,	,	PUNCT
ajst-18329	48	23	u	u	NOUN
ajst-18329	48	24	is	be	AUX
ajst-18329	48	25	the	the	DET
ajst-18329	48	26	decomposed	decompose	VERB
ajst-18329	48	27	imf	imf	ADJ
ajst-18329	48	28	components	component	NOUN
ajst-18329	48	29	,	,	PUNCT
ajst-18329	48	30	ω	ω	PROPN
ajst-18329	48	31	ω	ω	PROPN
ajst-18329	48	32	,	,	PUNCT
ajst-18329	48	33	…	…	PUNCT
ajst-18329	48	34	,	,	PUNCT
ajst-18329	48	35	ω	ω	NOUN
ajst-18329	48	36	represents	represent	VERB
ajst-18329	48	37	the	the	DET
ajst-18329	48	38	central	central	ADJ
ajst-18329	48	39	frequency	frequency	NOUN
ajst-18329	48	40	of	of	ADP
ajst-18329	48	41	each	each	DET
ajst-18329	48	42	imf	imf	PROPN
ajst-18329	48	43	component	component	NOUN
ajst-18329	48	44	.	.	PUNCT
ajst-18329	49	1	each	each	DET
ajst-18329	49	2	mode	mode	NOUN
ajst-18329	49	3	component	component	NOUN
ajst-18329	49	4	can	can	AUX
ajst-18329	49	5	be	be	AUX
ajst-18329	49	6	obtained	obtain	VERB
ajst-18329	49	7	by	by	ADP
ajst-18329	49	8	solving	solve	VERB
ajst-18329	49	9	the	the	DET
ajst-18329	49	10	above	above	ADJ
ajst-18329	49	11	formula.u	formula.u	PROPN
ajst-18329	49	12	.the	.the	PUNCT
ajst-18329	49	13	expression	expression	NOUN
ajst-18329	49	14	formula	formula	NOUN
ajst-18329	49	15	of	of	ADP
ajst-18329	49	16	is	be	AUX
ajst-18329	49	17	:	:	PUNCT
ajst-18329	49	18	(	(	PUNCT
ajst-18329	49	19	2	2	X
ajst-18329	49	20	)	)	PUNCT
ajst-18329	49	21	among	among	ADP
ajst-18329	49	22	,	,	PUNCT
ajst-18329	49	23	αis	αis	CCONJ
ajst-18329	49	24	a	a	DET
ajst-18329	49	25	quadratic	quadratic	ADJ
ajst-18329	49	26	penalty	penalty	NOUN
ajst-18329	49	27	parameter	parameter	NOUN
ajst-18329	49	28	,	,	PUNCT
ajst-18329	49	29	λis	λis	DET
ajst-18329	49	30	the	the	DET
ajst-18329	49	31	lagrange	lagrange	ADJ
ajst-18329	49	32	multiplication	multiplication	NOUN
ajst-18329	49	33	operator.center	operator.center	AUX
ajst-18329	49	34	frequencyω	frequencyω	NOUN
ajst-18329	49	35	the	the	DET
ajst-18329	49	36	expression	expression	NOUN
ajst-18329	49	37	formula	formula	NOUN
ajst-18329	49	38	of	of	ADP
ajst-18329	49	39	is	be	AUX
ajst-18329	49	40	:	:	PUNCT
ajst-18329	49	41	(	(	PUNCT
ajst-18329	49	42	3	3	X
ajst-18329	49	43	)	)	PUNCT
ajst-18329	49	44	the	the	DET
ajst-18329	49	45	specific	specific	ADJ
ajst-18329	49	46	steps	step	NOUN
ajst-18329	49	47	are	be	AUX
ajst-18329	49	48	as	as	SCONJ
ajst-18329	49	49	follows	follow	VERB
ajst-18329	49	50	:	:	PUNCT
ajst-18329	49	51	algorithm	algorithm	NOUN
ajst-18329	49	52	2	2	NUM
ajst-18329	49	53	:	:	PUNCT
ajst-18329	49	54	complete	complete	ADJ
ajst-18329	49	55	optimization	optimization	NOUN
ajst-18329	49	56	of	of	ADP
ajst-18329	49	57	vmd	vmd	PROPN
ajst-18329	49	58	initialize	initialize	NOUN
ajst-18329	49	59	u	u	PROPN
ajst-18329	49	60	,	,	PUNCT
ajst-18329	49	61	ω	ω	PROPN
ajst-18329	49	62	,	,	PUNCT
ajst-18329	49	63	λ	λ	PROPN
ajst-18329	49	64	,	,	PUNCT
ajst-18329	49	65	n←0	n←0	PROPN
ajst-18329	49	66	repeat	repeat	NOUN
ajst-18329	49	67	n	n	PRON
ajst-18329	49	68	←	←	PROPN
ajst-18329	49	69	n+1	n+1	PROPN
ajst-18329	49	70	for	for	ADP
ajst-18329	49	71	k=1	k=1	NOUN
ajst-18329	49	72	:	:	PUNCT
ajst-18329	49	73	k	k	NOUN
ajst-18329	49	74	do	do	AUX
ajst-18329	49	75	update	update	VERB
ajst-18329	49	76	u	u	NOUN
ajst-18329	49	77	for	for	ADP
ajst-18329	49	78	all	all	DET
ajst-18329	49	79	ω	ω	NOUN
ajst-18329	49	80	0	0	NUM
ajst-18329	49	81	:	:	PUNCT
ajst-18329	50	1	u	u	PROPN
ajst-18329	50	2	ω	ω	PROPN
ajst-18329	50	3	←	←	PROPN
ajst-18329	50	4	f	f	PROPN
ajst-18329	50	5	ω	ω	PROPN
ajst-18329	50	6	∑	∑	PROPN
ajst-18329	50	7	u	u	PROPN
ajst-18329	50	8	ω	ω	NUM
ajst-18329	50	9	∑	∑	PROPN
ajst-18329	50	10	u	u	PROPN
ajst-18329	50	11	ω	ω	PROPN
ajst-18329	50	12	λ	λ	PROPN
ajst-18329	50	13	ω	ω	NUM
ajst-18329	50	14	2	2	NUM
ajst-18329	50	15	1	1	NUM
ajst-18329	50	16	2α	2α	NOUN
ajst-18329	50	17	ω	ω	PROPN
ajst-18329	50	18	ω	ω	PROPN
ajst-18329	50	19	4	4	NUM
ajst-18329	50	20	ω	ω	NOUN
ajst-18329	50	21	:	:	PUNCT
ajst-18329	50	22	ω	ω	NUM
ajst-18329	50	23	ω|u	ω|u	PUNCT
ajst-18329	50	24	ω	ω	NUM
ajst-18329	50	25	|	|	ADV
ajst-18329	50	26	dω	dω	ADP
ajst-18329	50	27	|u	|u	PROPN
ajst-18329	50	28	ω	ω	NOUN
ajst-18329	50	29	|	|	ADV
ajst-18329	50	30	dω	dω	PROPN
ajst-18329	50	31	5	5	NUM
ajst-18329	50	32	end	end	NOUN
ajst-18329	50	33	for	for	ADP
ajst-18329	50	34	dual	dual	ADJ
ajst-18329	50	35	ascent	ascent	NOUN
ajst-18329	50	36	for	for	ADP
ajst-18329	50	37	all	all	DET
ajst-18329	50	38	ω	ω	NOUN
ajst-18329	50	39	0	0	NUM
ajst-18329	50	40	:	:	PUNCT
ajst-18329	51	1	λ	λ	PROPN
ajst-18329	51	2	ω	ω	NUM
ajst-18329	51	3	←	←	PROPN
ajst-18329	51	4	λ	λ	PROPN
ajst-18329	51	5	ω	ω	PROPN
ajst-18329	51	6	τ	τ	PROPN
ajst-18329	51	7	f	f	PROPN
ajst-18329	51	8	ω	ω	NUM
ajst-18329	51	9	u	u	PROPN
ajst-18329	51	10	ω	ω	PROPN
ajst-18329	51	11	6	6	NUM
ajst-18329	51	12	until	until	ADP
ajst-18329	51	13	convergence	convergence	NOUN
ajst-18329	51	14	:	:	PUNCT
ajst-18329	51	15	∑	∑	PUNCT
ajst-18329	51	16	|	|	ADV
ajst-18329	51	17	u	u	X
ajst-18329	51	18	u	u	NOUN
ajst-18329	52	1	|	|	ADV
ajst-18329	52	2	/||u	/||u	SYM
ajst-18329	52	3	||	||	NOUN
ajst-18329	53	1	ϵ	ϵ	X
ajst-18329	53	2	(	(	PUNCT
ajst-18329	53	3	7	7	NUM
ajst-18329	53	4	)	)	PUNCT
ajst-18329	53	5	in	in	ADP
ajst-18329	53	6	formula	formula	NOUN
ajst-18329	53	7	(	(	PUNCT
ajst-18329	53	8	7),ϵ	7),ϵ	NOUN
ajst-18329	53	9	is	be	AUX
ajst-18329	53	10	the	the	DET
ajst-18329	53	11	accuracy	accuracy	NOUN
ajst-18329	53	12	of	of	ADP
ajst-18329	53	13	discrimination	discrimination	NOUN
ajst-18329	53	14	.	.	PUNCT
ajst-18329	54	1	2.2	2.2	NUM
ajst-18329	54	2	.	.	PUNCT
ajst-18329	54	3	wavelet	wavelet	NOUN
ajst-18329	54	4	packet	packet	NOUN
ajst-18329	54	5	threshold	threshold	NOUN
ajst-18329	54	6	denoising	denoise	VERB
ajst-18329	54	7	principle	principle	NOUN
ajst-18329	54	8	in	in	ADP
ajst-18329	54	9	engineering	engineering	NOUN
ajst-18329	54	10	applications	application	NOUN
ajst-18329	54	11	,	,	PUNCT
ajst-18329	54	12	wavelet	wavelet	NOUN
ajst-18329	54	13	denoising	denoising	NOUN
ajst-18329	54	14	and	and	CCONJ
ajst-18329	54	15	smoothing	smooth	VERB
ajst-18329	54	16	filter	filter	NOUN
ajst-18329	54	17	denoising	denoising	NOUN
ajst-18329	54	18	are	be	AUX
ajst-18329	54	19	often	often	ADV
ajst-18329	54	20	used	use	VERB
ajst-18329	54	21	.	.	PUNCT
ajst-18329	55	1	smoothing	smooth	VERB
ajst-18329	55	2	filter	filter	NOUN
ajst-18329	55	3	noise	noise	NOUN
ajst-18329	55	4	reduction	reduction	NOUN
ajst-18329	55	5	is	be	AUX
ajst-18329	55	6	mainly	mainly	ADV
ajst-18329	55	7	achieved	achieve	VERB
ajst-18329	55	8	by	by	ADP
ajst-18329	55	9	fitting	fit	VERB
ajst-18329	55	10	the	the	DET
ajst-18329	55	11	low	low	ADJ
ajst-18329	55	12	frequency	frequency	NOUN
ajst-18329	55	13	part	part	NOUN
ajst-18329	55	14	of	of	ADP
ajst-18329	55	15	the	the	DET
ajst-18329	55	16	signal	signal	NOUN
ajst-18329	55	17	and	and	CCONJ
ajst-18329	55	18	smoothing	smooth	VERB
ajst-18329	55	19	out	out	ADP
ajst-18329	55	20	the	the	DET
ajst-18329	55	21	high	high	ADJ
ajst-18329	55	22	frequency	frequency	NOUN
ajst-18329	55	23	part	part	NOUN
ajst-18329	55	24	.	.	PUNCT
ajst-18329	56	1	if	if	SCONJ
ajst-18329	56	2	the	the	DET
ajst-18329	56	3	noise	noise	NOUN
ajst-18329	56	4	is	be	AUX
ajst-18329	56	5	in	in	ADP
ajst-18329	56	6	the	the	DET
ajst-18329	56	7	high	high	ADJ
ajst-18329	56	8	frequency	frequency	NOUN
ajst-18329	56	9	part	part	NOUN
ajst-18329	56	10	of	of	ADP
ajst-18329	56	11	the	the	DET
ajst-18329	56	12	signal	signal	NOUN
ajst-18329	56	13	,	,	PUNCT
ajst-18329	56	14	it	it	PRON
ajst-18329	56	15	can	can	AUX
ajst-18329	56	16	be	be	AUX
ajst-18329	56	17	removed	remove	VERB
ajst-18329	56	18	by	by	ADP
ajst-18329	56	19	smoothing	smooth	VERB
ajst-18329	56	20	operation	operation	NOUN
ajst-18329	56	21	;	;	PUNCT
ajst-18329	56	22	otherwise	otherwise	ADV
ajst-18329	56	23	,	,	PUNCT
ajst-18329	56	24	the	the	DET
ajst-18329	56	25	noise	noise	NOUN
ajst-18329	56	26	will	will	AUX
ajst-18329	56	27	be	be	AUX
ajst-18329	56	28	left	leave	VERB
ajst-18329	56	29	[	[	X
ajst-18329	56	30	16	16	NUM
ajst-18329	56	31	]	]	PUNCT
ajst-18329	56	32	.	.	PUNCT
ajst-18329	57	1	the	the	DET
ajst-18329	57	2	wavelet	wavelet	NOUN
ajst-18329	57	3	denoising	denoising	NOUN
ajst-18329	57	4	is	be	AUX
ajst-18329	57	5	actually	actually	ADV
ajst-18329	57	6	to	to	PART
ajst-18329	57	7	decompose	decompose	VERB
ajst-18329	57	8	the	the	DET
ajst-18329	57	9	signal	signal	NOUN
ajst-18329	57	10	with	with	ADP
ajst-18329	57	11	multi	multi	NOUN
ajst-18329	57	12	-	-	NOUN
ajst-18329	57	13	resolution	resolution	NOUN
ajst-18329	57	14	,	,	PUNCT
ajst-18329	57	15	but	but	CCONJ
ajst-18329	57	16	due	due	ADP
ajst-18329	57	17	to	to	ADP
ajst-18329	57	18	the	the	DET
ajst-18329	57	19	limitation	limitation	NOUN
ajst-18329	57	20	of	of	ADP
ajst-18329	57	21	its	its	PRON
ajst-18329	57	22	function	function	NOUN
ajst-18329	57	23	scale	scale	NOUN
ajst-18329	57	24	,	,	PUNCT
ajst-18329	57	25	the	the	DET
ajst-18329	57	26	wavelet	wavelet	NOUN
ajst-18329	57	27	transform	transform	NOUN
ajst-18329	57	28	will	will	AUX
ajst-18329	57	29	only	only	ADV
ajst-18329	57	30	decompose	decompose	VERB
ajst-18329	57	31	the	the	DET
ajst-18329	57	32	low	low	ADJ
ajst-18329	57	33	frequency	frequency	NOUN
ajst-18329	57	34	part	part	NOUN
ajst-18329	57	35	,	,	PUNCT
ajst-18329	57	36	ignore	ignore	VERB
ajst-18329	57	37	the	the	DET
ajst-18329	57	38	high	high	ADJ
ajst-18329	57	39	80	80	NUM
ajst-18329	57	40	frequency	frequency	NOUN
ajst-18329	57	41	part	part	NOUN
ajst-18329	57	42	,	,	PUNCT
ajst-18329	57	43	and	and	CCONJ
ajst-18329	57	44	do	do	AUX
ajst-18329	57	45	not	not	PART
ajst-18329	57	46	further	far	ADV
ajst-18329	57	47	decompose	decompose	VERB
ajst-18329	57	48	.	.	PUNCT
ajst-18329	58	1	the	the	DET
ajst-18329	58	2	above	above	ADP
ajst-18329	58	3	two	two	NUM
ajst-18329	58	4	noise	noise	NOUN
ajst-18329	58	5	reduction	reduction	NOUN
ajst-18329	58	6	methods	method	NOUN
ajst-18329	58	7	do	do	AUX
ajst-18329	58	8	not	not	PART
ajst-18329	58	9	process	process	VERB
ajst-18329	58	10	the	the	DET
ajst-18329	58	11	high	high	ADJ
ajst-18329	58	12	-	-	PUNCT
ajst-18329	58	13	frequency	frequency	NOUN
ajst-18329	58	14	part	part	NOUN
ajst-18329	58	15	of	of	ADP
ajst-18329	58	16	the	the	DET
ajst-18329	58	17	signal	signal	NOUN
ajst-18329	58	18	,	,	PUNCT
ajst-18329	58	19	and	and	CCONJ
ajst-18329	58	20	can	can	AUX
ajst-18329	58	21	not	not	PART
ajst-18329	58	22	remove	remove	VERB
ajst-18329	58	23	the	the	DET
ajst-18329	58	24	noise	noise	NOUN
ajst-18329	58	25	point	point	NOUN
ajst-18329	58	26	well	well	ADV
ajst-18329	58	27	,	,	PUNCT
ajst-18329	58	28	which	which	PRON
ajst-18329	58	29	will	will	AUX
ajst-18329	58	30	greatly	greatly	ADV
ajst-18329	58	31	affect	affect	VERB
ajst-18329	58	32	the	the	DET
ajst-18329	58	33	diagnostic	diagnostic	ADJ
ajst-18329	58	34	accuracy	accuracy	NOUN
ajst-18329	58	35	of	of	ADP
ajst-18329	58	36	the	the	DET
ajst-18329	58	37	subsequent	subsequent	ADJ
ajst-18329	58	38	diagnostic	diagnostic	ADJ
ajst-18329	58	39	model	model	NOUN
ajst-18329	58	40	.	.	PUNCT
ajst-18329	59	1	wavelet	wavelet	NOUN
ajst-18329	59	2	packet	packet	NOUN
ajst-18329	59	3	threshold	threshold	NOUN
ajst-18329	59	4	noise	noise	NOUN
ajst-18329	59	5	reduction	reduction	NOUN
ajst-18329	59	6	algorithm	algorithm	NOUN
ajst-18329	59	7	is	be	AUX
ajst-18329	59	8	an	an	DET
ajst-18329	59	9	optimization	optimization	NOUN
ajst-18329	59	10	algorithm	algorithm	NOUN
ajst-18329	59	11	of	of	ADP
ajst-18329	59	12	wavelet	wavelet	NOUN
ajst-18329	59	13	noise	noise	NOUN
ajst-18329	59	14	reduction	reduction	NOUN
ajst-18329	59	15	,	,	PUNCT
ajst-18329	59	16	which	which	PRON
ajst-18329	59	17	provides	provide	VERB
ajst-18329	59	18	a	a	DET
ajst-18329	59	19	more	more	ADV
ajst-18329	59	20	delicate	delicate	ADJ
ajst-18329	59	21	and	and	CCONJ
ajst-18329	59	22	detailed	detailed	ADJ
ajst-18329	59	23	noise	noise	NOUN
ajst-18329	59	24	reduction	reduction	NOUN
ajst-18329	59	25	method	method	NOUN
ajst-18329	59	26	.	.	PUNCT
ajst-18329	60	1	in	in	ADP
ajst-18329	60	2	signal	signal	ADJ
ajst-18329	60	3	processing	processing	NOUN
ajst-18329	60	4	,	,	PUNCT
ajst-18329	60	5	the	the	DET
ajst-18329	60	6	algorithm	algorithm	NOUN
ajst-18329	60	7	will	will	AUX
ajst-18329	60	8	further	far	ADV
ajst-18329	60	9	decompose	decompose	VERB
ajst-18329	60	10	the	the	DET
ajst-18329	60	11	part	part	NOUN
ajst-18329	60	12	of	of	ADP
ajst-18329	60	13	the	the	DET
ajst-18329	60	14	high	high	ADJ
ajst-18329	60	15	-	-	PUNCT
ajst-18329	60	16	frequency	frequency	NOUN
ajst-18329	60	17	signal	signal	NOUN
ajst-18329	60	18	that	that	PRON
ajst-18329	60	19	is	be	AUX
ajst-18329	60	20	not	not	PART
ajst-18329	60	21	operated	operate	VERB
ajst-18329	60	22	by	by	ADP
ajst-18329	60	23	the	the	DET
ajst-18329	60	24	wavelet	wavelet	NOUN
ajst-18329	60	25	transform	transform	NOUN
ajst-18329	60	26	,	,	PUNCT
ajst-18329	60	27	and	and	CCONJ
ajst-18329	60	28	select	select	VERB
ajst-18329	60	29	the	the	DET
ajst-18329	60	30	frequency	frequency	NOUN
ajst-18329	60	31	band	band	NOUN
ajst-18329	60	32	with	with	ADP
ajst-18329	60	33	high	high	ADJ
ajst-18329	60	34	matching	matching	NOUN
ajst-18329	60	35	degree	degree	NOUN
ajst-18329	60	36	to	to	ADP
ajst-18329	60	37	the	the	DET
ajst-18329	60	38	original	original	ADJ
ajst-18329	60	39	signal	signal	NOUN
ajst-18329	60	40	spectrum	spectrum	NOUN
ajst-18329	60	41	features	feature	NOUN
ajst-18329	60	42	.	.	PUNCT
ajst-18329	61	1	this	this	DET
ajst-18329	61	2	method	method	NOUN
ajst-18329	61	3	will	will	AUX
ajst-18329	61	4	achieve	achieve	VERB
ajst-18329	61	5	better	well	ADJ
ajst-18329	61	6	noise	noise	NOUN
ajst-18329	61	7	reduction	reduction	NOUN
ajst-18329	61	8	effect	effect	NOUN
ajst-18329	61	9	for	for	ADP
ajst-18329	61	10	nonstationary	nonstationary	ADJ
ajst-18329	61	11	signals	signal	NOUN
ajst-18329	61	12	.	.	PUNCT
ajst-18329	62	1	the	the	DET
ajst-18329	62	2	effect	effect	NOUN
ajst-18329	62	3	diagrams	diagram	NOUN
ajst-18329	62	4	of	of	ADP
ajst-18329	62	5	the	the	DET
ajst-18329	62	6	two	two	NUM
ajst-18329	62	7	kinds	kind	NOUN
ajst-18329	62	8	of	of	ADP
ajst-18329	62	9	decomposition	decomposition	NOUN
ajst-18329	62	10	are	be	AUX
ajst-18329	62	11	shown	show	VERB
ajst-18329	62	12	in	in	ADP
ajst-18329	62	13	figure	figure	NOUN
ajst-18329	62	14	1	1	NUM
ajst-18329	62	15	and	and	CCONJ
ajst-18329	62	16	figure	figure	VERB
ajst-18329	62	17	2	2	NUM
ajst-18329	62	18	.	.	PUNCT
ajst-18329	63	1	it	it	PRON
ajst-18329	63	2	can	can	AUX
ajst-18329	63	3	be	be	AUX
ajst-18329	63	4	seen	see	VERB
ajst-18329	63	5	from	from	ADP
ajst-18329	63	6	the	the	DET
ajst-18329	63	7	figure	figure	NOUN
ajst-18329	63	8	that	that	SCONJ
ajst-18329	63	9	the	the	DET
ajst-18329	63	10	wavelet	wavelet	NOUN
ajst-18329	63	11	decomposition	decomposition	NOUN
ajst-18329	63	12	only	only	ADV
ajst-18329	63	13	processes	process	VERB
ajst-18329	63	14	the	the	DET
ajst-18329	63	15	low	low	ADJ
ajst-18329	63	16	-	-	PUNCT
ajst-18329	63	17	frequency	frequency	NOUN
ajst-18329	63	18	part	part	NOUN
ajst-18329	63	19	of	of	ADP
ajst-18329	63	20	the	the	DET
ajst-18329	63	21	signal	signal	NOUN
ajst-18329	63	22	,	,	PUNCT
ajst-18329	63	23	while	while	SCONJ
ajst-18329	63	24	the	the	DET
ajst-18329	63	25	wavelet	wavelet	NOUN
ajst-18329	63	26	packet	packet	NOUN
ajst-18329	63	27	decomposition	decomposition	NOUN
ajst-18329	63	28	processes	process	VERB
ajst-18329	63	29	the	the	DET
ajst-18329	63	30	high	high	ADJ
ajst-18329	63	31	-	-	PUNCT
ajst-18329	63	32	frequency	frequency	NOUN
ajst-18329	63	33	part	part	NOUN
ajst-18329	63	34	of	of	ADP
ajst-18329	63	35	the	the	DET
ajst-18329	63	36	signal	signal	NOUN
ajst-18329	63	37	while	while	SCONJ
ajst-18329	63	38	the	the	DET
ajst-18329	63	39	low	low	ADJ
ajst-18329	63	40	-	-	PUNCT
ajst-18329	63	41	frequency	frequency	NOUN
ajst-18329	63	42	part	part	NOUN
ajst-18329	63	43	is	be	AUX
ajst-18329	63	44	decomposed	decompose	VERB
ajst-18329	63	45	.	.	PUNCT
ajst-18329	64	1	initial	initial	ADJ
ajst-18329	64	2	signal	signal	NOUN
ajst-18329	64	3	s1	s1	PROPN
ajst-18329	64	4	s2	s2	PROPN
ajst-18329	64	5	s3	s3	PROPN
ajst-18329	64	6	s4	s4	PROPN
ajst-18329	64	7	d1	d1	PROPN
ajst-18329	64	8	d2	d2	PROPN
ajst-18329	64	9	d3	d3	PROPN
ajst-18329	64	10	d3	d3	PROPN
ajst-18329	64	11	ss1	ss1	PROPN
ajst-18329	64	12	ss2	ss2	PROPN
ajst-18329	64	13	ds1	ds1	PROPN
ajst-18329	64	14	ds2	ds2	PROPN
ajst-18329	64	15	sd1	sd1	PROPN
ajst-18329	64	16	sd2	sd2	PROPN
ajst-18329	64	17	dd1	dd1	PROPN
ajst-18329	64	18	dd2	dd2	PROPN
ajst-18329	64	19	sss	sss	PROPN
ajst-18329	64	20	dss	dss	PROPN
ajst-18329	64	21	sds	sds	PROPN
ajst-18329	64	22	dds	dds	PROPN
ajst-18329	64	23	ssd	ssd	PROPN
ajst-18329	64	24	dsd	dsd	PROPN
ajst-18329	64	25	sdd	sdd	NOUN
ajst-18329	64	26	ddd	ddd	PROPN
ajst-18329	64	27	figure	figure	NOUN
ajst-18329	64	28	1	1	NUM
ajst-18329	64	29	.	.	PUNCT
ajst-18329	64	30	wavelet	wavelet	NOUN
ajst-18329	64	31	packet	packet	NOUN
ajst-18329	64	32	decomposition	decomposition	NOUN
ajst-18329	64	33	diagram	diagram	NOUN
ajst-18329	64	34	initial	initial	ADJ
ajst-18329	64	35	signal	signal	NOUN
ajst-18329	64	36	s1	s1	PROPN
ajst-18329	64	37	s2	s2	PROPN
ajst-18329	64	38	s3	s3	PROPN
ajst-18329	64	39	s3	s3	PROPN
ajst-18329	64	40	d	d	PROPN
ajst-18329	64	41	ss1	ss1	PROPN
ajst-18329	64	42	ss2	ss2	PROPN
ajst-18329	64	43	ds	ds	PROPN
ajst-18329	64	44	sss	sss	PROPN
ajst-18329	64	45	dss	dss	NOUN
ajst-18329	64	46	figure	figure	NOUN
ajst-18329	64	47	2	2	NUM
ajst-18329	64	48	.	.	PUNCT
ajst-18329	64	49	wavelet	wavelet	NOUN
ajst-18329	64	50	decomposition	decomposition	NOUN
ajst-18329	64	51	diagram	diagram	NOUN
ajst-18329	64	52	mathematically	mathematically	ADV
ajst-18329	64	53	,	,	PUNCT
ajst-18329	64	54	the	the	DET
ajst-18329	64	55	wavelet	wavelet	NOUN
ajst-18329	64	56	packet	packet	NOUN
ajst-18329	64	57	is	be	AUX
ajst-18329	64	58	composed	compose	VERB
ajst-18329	64	59	of	of	ADP
ajst-18329	64	60	a	a	DET
ajst-18329	64	61	set	set	NOUN
ajst-18329	64	62	of	of	ADP
ajst-18329	64	63	linear	linear	PROPN
ajst-18329	64	64	functions	function	NOUN
ajst-18329	64	65	.	.	PUNCT
ajst-18329	65	1	if	if	SCONJ
ajst-18329	65	2	it	it	PRON
ajst-18329	65	3	is	be	AUX
ajst-18329	65	4	assumed	assume	VERB
ajst-18329	65	5	that	that	SCONJ
ajst-18329	65	6	φ	φ	PROPN
ajst-18329	65	7	t	t	PROPN
ajst-18329	65	8	∅	∅	NOUN
ajst-18329	65	9	t	t	PROPN
ajst-18329	65	10	and	and	CCONJ
ajst-18329	65	11	φ	φ	PROPN
ajst-18329	65	12	φ	φ	PROPN
ajst-18329	65	13	t	t	PROPN
ajst-18329	65	14	are	be	AUX
ajst-18329	65	15	scale	scale	NOUN
ajst-18329	65	16	functions	function	NOUN
ajst-18329	65	17	and	and	CCONJ
ajst-18329	65	18	wavelet	wavelet	NOUN
ajst-18329	65	19	functions	function	NOUN
ajst-18329	65	20	respectively	respectively	ADV
ajst-18329	65	21	,	,	PUNCT
ajst-18329	65	22	h	h	NOUN
ajst-18329	65	23	n	n	NOUN
ajst-18329	65	24	and	and	CCONJ
ajst-18329	65	25	g	g	PROPN
ajst-18329	65	26	n	n	PRON
ajst-18329	65	27	representing	represent	VERB
ajst-18329	65	28	the	the	DET
ajst-18329	65	29	coefficients	coefficient	NOUN
ajst-18329	65	30	of	of	ADP
ajst-18329	65	31	conjugate	conjugate	ADJ
ajst-18329	65	32	mirror	mirror	NOUN
ajst-18329	65	33	filter	filter	NOUN
ajst-18329	65	34	banks	bank	NOUN
ajst-18329	65	35	,	,	PUNCT
ajst-18329	65	36	the	the	DET
ajst-18329	65	37	wavelet	wavelet	NOUN
ajst-18329	65	38	packet	packet	NOUN
ajst-18329	65	39	can	can	AUX
ajst-18329	65	40	be	be	AUX
ajst-18329	65	41	expressed	express	VERB
ajst-18329	65	42	as	as	ADP
ajst-18329	65	43	the	the	DET
ajst-18329	65	44	following	follow	VERB
ajst-18329	65	45	recursive	recursive	ADJ
ajst-18329	65	46	relation	relation	NOUN
ajst-18329	65	47	17	17	NUM
ajst-18329	65	48	:	:	PUNCT
ajst-18329	65	49	φ	φ	PROPN
ajst-18329	65	50	t	t	PROPN
ajst-18329	65	51	√2	√2	PROPN
ajst-18329	65	52	∑	∑	PROPN
ajst-18329	65	53	h	h	PROPN
ajst-18329	65	54	n	n	PROPN
ajst-18329	65	55	φ	φ	NUM
ajst-18329	65	56	2	2	NUM
ajst-18329	65	57	t	t	NOUN
ajst-18329	65	58	n	n	X
ajst-18329	65	59	(	(	PUNCT
ajst-18329	65	60	8)	8)	NUM
ajst-18329	65	61	(	(	PUNCT
ajst-18329	65	62	9	9	NUM
ajst-18329	65	63	)	)	PUNCT
ajst-18329	65	64	the	the	DET
ajst-18329	65	65	steps	step	NOUN
ajst-18329	65	66	of	of	ADP
ajst-18329	65	67	wavelet	wavelet	NOUN
ajst-18329	65	68	packet	packet	NOUN
ajst-18329	65	69	threshold	threshold	NOUN
ajst-18329	65	70	denoising	denoising	NOUN
ajst-18329	65	71	are	be	AUX
ajst-18329	65	72	as	as	SCONJ
ajst-18329	65	73	follows	follow	VERB
ajst-18329	65	74	:	:	PUNCT
ajst-18329	65	75	(	(	PUNCT
ajst-18329	65	76	1	1	X
ajst-18329	65	77	)	)	PUNCT
ajst-18329	65	78	select	select	VERB
ajst-18329	65	79	the	the	DET
ajst-18329	65	80	appropriate	appropriate	ADJ
ajst-18329	65	81	wavelet	wavelet	NOUN
ajst-18329	65	82	basis	basis	NOUN
ajst-18329	65	83	function	function	NOUN
ajst-18329	65	84	and	and	CCONJ
ajst-18329	65	85	the	the	DET
ajst-18329	65	86	corresponding	corresponding	ADJ
ajst-18329	65	87	number	number	NOUN
ajst-18329	65	88	of	of	ADP
ajst-18329	65	89	decomposition	decomposition	NOUN
ajst-18329	65	90	layers	layer	NOUN
ajst-18329	65	91	according	accord	VERB
ajst-18329	65	92	to	to	ADP
ajst-18329	65	93	the	the	DET
ajst-18329	65	94	characteristics	characteristic	NOUN
ajst-18329	65	95	of	of	ADP
ajst-18329	65	96	the	the	DET
ajst-18329	65	97	original	original	ADJ
ajst-18329	65	98	signal	signal	NOUN
ajst-18329	65	99	,	,	PUNCT
ajst-18329	65	100	and	and	CCONJ
ajst-18329	65	101	decompose	decompose	VERB
ajst-18329	65	102	it	it	PRON
ajst-18329	65	103	.	.	PUNCT
ajst-18329	66	1	(	(	PUNCT
ajst-18329	66	2	2	2	X
ajst-18329	66	3	)	)	PUNCT
ajst-18329	66	4	the	the	DET
ajst-18329	66	5	optimal	optimal	ADJ
ajst-18329	66	6	wavelet	wavelet	NOUN
ajst-18329	66	7	basis	basis	NOUN
ajst-18329	66	8	is	be	AUX
ajst-18329	66	9	determined	determine	VERB
ajst-18329	66	10	according	accord	VERB
ajst-18329	66	11	to	to	ADP
ajst-18329	66	12	the	the	DET
ajst-18329	66	13	given	give	VERB
ajst-18329	66	14	standard	standard	ADJ
ajst-18329	66	15	entropy	entropy	NOUN
ajst-18329	66	16	.	.	PUNCT
ajst-18329	67	1	(	(	PUNCT
ajst-18329	67	2	3	3	X
ajst-18329	67	3	)	)	PUNCT
ajst-18329	67	4	the	the	DET
ajst-18329	67	5	optimal	optimal	ADJ
ajst-18329	67	6	threshold	threshold	NOUN
ajst-18329	67	7	is	be	AUX
ajst-18329	67	8	obtained	obtain	VERB
ajst-18329	67	9	through	through	ADP
ajst-18329	67	10	repeated	repeat	VERB
ajst-18329	67	11	tests	test	NOUN
ajst-18329	67	12	,	,	PUNCT
ajst-18329	67	13	and	and	CCONJ
ajst-18329	67	14	the	the	DET
ajst-18329	67	15	threshold	threshold	NOUN
ajst-18329	67	16	is	be	AUX
ajst-18329	67	17	used	use	VERB
ajst-18329	67	18	to	to	PART
ajst-18329	67	19	quantify	quantify	VERB
ajst-18329	67	20	the	the	DET
ajst-18329	67	21	high	high	ADJ
ajst-18329	67	22	-	-	PUNCT
ajst-18329	67	23	frequency	frequency	NOUN
ajst-18329	67	24	coefficients	coefficient	NOUN
ajst-18329	67	25	of	of	ADP
ajst-18329	67	26	different	different	ADJ
ajst-18329	67	27	scales	scale	NOUN
ajst-18329	67	28	.	.	PUNCT
ajst-18329	68	1	(	(	PUNCT
ajst-18329	68	2	4	4	X
ajst-18329	68	3	)	)	PUNCT
ajst-18329	68	4	the	the	DET
ajst-18329	68	5	low	low	ADJ
ajst-18329	68	6	frequency	frequency	NOUN
ajst-18329	68	7	coefficient	coefficient	NOUN
ajst-18329	68	8	and	and	CCONJ
ajst-18329	68	9	the	the	DET
ajst-18329	68	10	high	high	ADJ
ajst-18329	68	11	frequency	frequency	NOUN
ajst-18329	68	12	coefficient	coefficient	NOUN
ajst-18329	68	13	after	after	ADP
ajst-18329	68	14	quantization	quantization	NOUN
ajst-18329	68	15	are	be	AUX
ajst-18329	68	16	reconstructed	reconstruct	VERB
ajst-18329	68	17	by	by	ADP
ajst-18329	68	18	wavelet	wavelet	NOUN
ajst-18329	68	19	.	.	PUNCT
ajst-18329	69	1	in	in	ADP
ajst-18329	69	2	the	the	DET
ajst-18329	69	3	process	process	NOUN
ajst-18329	69	4	of	of	ADP
ajst-18329	69	5	wavelet	wavelet	NOUN
ajst-18329	69	6	packet	packet	NOUN
ajst-18329	69	7	threshold	threshold	NOUN
ajst-18329	69	8	denoising	denoising	PROPN
ajst-18329	69	9	,	,	PUNCT
ajst-18329	69	10	the	the	DET
ajst-18329	69	11	most	most	ADV
ajst-18329	69	12	important	important	ADJ
ajst-18329	69	13	is	be	AUX
ajst-18329	69	14	the	the	DET
ajst-18329	69	15	selection	selection	NOUN
ajst-18329	69	16	of	of	ADP
ajst-18329	69	17	threshold	threshold	NOUN
ajst-18329	69	18	,	,	PUNCT
ajst-18329	69	19	it	it	PRON
ajst-18329	69	20	can	can	AUX
ajst-18329	69	21	be	be	AUX
ajst-18329	69	22	said	say	VERB
ajst-18329	69	23	that	that	SCONJ
ajst-18329	69	24	whether	whether	SCONJ
ajst-18329	69	25	the	the	DET
ajst-18329	69	26	selected	select	VERB
ajst-18329	69	27	threshold	threshold	NOUN
ajst-18329	69	28	is	be	AUX
ajst-18329	69	29	appropriate	appropriate	ADJ
ajst-18329	69	30	will	will	AUX
ajst-18329	69	31	directly	directly	ADV
ajst-18329	69	32	affect	affect	VERB
ajst-18329	69	33	the	the	DET
ajst-18329	69	34	quality	quality	NOUN
ajst-18329	69	35	of	of	ADP
ajst-18329	69	36	noise	noise	NOUN
ajst-18329	69	37	reduction	reduction	NOUN
ajst-18329	69	38	.	.	PUNCT
ajst-18329	70	1	3	3	X
ajst-18329	70	2	.	.	X
ajst-18329	70	3	vision	vision	NOUN
ajst-18329	70	4	-	-	PUNCT
ajst-18329	70	5	transformer	transformer	NOUN
ajst-18329	70	6	model	model	NOUN
ajst-18329	70	7	this	this	DET
ajst-18329	70	8	paper	paper	NOUN
ajst-18329	70	9	adopts	adopt	VERB
ajst-18329	70	10	the	the	DET
ajst-18329	70	11	signal	signal	NOUN
ajst-18329	70	12	-	-	PUNCT
ajst-18329	70	13	image	image	NOUN
ajst-18329	70	14	conversion	conversion	NOUN
ajst-18329	70	15	method	method	NOUN
ajst-18329	70	16	proposed	propose	VERB
ajst-18329	70	17	in	in	ADP
ajst-18329	70	18	literature	literature	NOUN
ajst-18329	70	19	[	[	X
ajst-18329	70	20	18	18	NUM
ajst-18329	70	21	]	]	PUNCT
ajst-18329	70	22	,	,	PUNCT
ajst-18329	70	23	which	which	PRON
ajst-18329	70	24	randomly	randomly	ADV
ajst-18329	70	25	obtains	obtain	VERB
ajst-18329	70	26	fragment	fragment	ADJ
ajst-18329	70	27	data	datum	NOUN
ajst-18329	70	28	of	of	ADP
ajst-18329	70	29	size	size	NOUN
ajst-18329	70	30	m	m	PROPN
ajst-18329	70	31	from	from	ADP
ajst-18329	70	32	the	the	DET
ajst-18329	70	33	original	original	ADJ
ajst-18329	70	34	signal	signal	NOUN
ajst-18329	70	35	and	and	CCONJ
ajst-18329	70	36	combines	combine	VERB
ajst-18329	70	37	it	it	PRON
ajst-18329	70	38	into	into	ADP
ajst-18329	70	39	an	an	DET
ajst-18329	70	40	image	image	NOUN
ajst-18329	70	41	of	of	ADP
ajst-18329	70	42	m*m	m*m	PROPN
ajst-18329	70	43	.	.	PUNCT
ajst-18329	71	1	the	the	DET
ajst-18329	71	2	integer	integer	NOUN
ajst-18329	71	3	between	between	ADP
ajst-18329	71	4	0	0	NUM
ajst-18329	71	5	and	and	CCONJ
ajst-18329	71	6	255	255	NUM
ajst-18329	71	7	can	can	AUX
ajst-18329	71	8	be	be	AUX
ajst-18329	71	9	obtained	obtain	VERB
ajst-18329	71	10	from	from	ADP
ajst-18329	71	11	formula	formula	NOUN
ajst-18329	71	12	(	(	PUNCT
ajst-18329	71	13	10	10	NUM
ajst-18329	71	14	)	)	PUNCT
ajst-18329	71	15	,	,	PUNCT
ajst-18329	71	16	and	and	CCONJ
ajst-18329	71	17	the	the	DET
ajst-18329	71	18	value	value	NOUN
ajst-18329	71	19	in	in	ADP
ajst-18329	71	20	the	the	DET
ajst-18329	71	21	image	image	NOUN
ajst-18329	71	22	after	after	ADP
ajst-18329	71	23	conversion	conversion	NOUN
ajst-18329	71	24	in	in	ADP
ajst-18329	71	25	this	this	DET
ajst-18329	71	26	paper	paper	NOUN
ajst-18329	71	27	can	can	AUX
ajst-18329	71	28	be	be	AUX
ajst-18329	71	29	obtained	obtain	VERB
ajst-18329	71	30	through	through	ADP
ajst-18329	71	31	this	this	DET
ajst-18329	71	32	formula	formula	NOUN
ajst-18329	71	33	.	.	PUNCT
ajst-18329	72	1	(	(	PUNCT
ajst-18329	72	2	10	10	NUM
ajst-18329	72	3	)	)	PUNCT
ajst-18329	72	4	where	where	SCONJ
ajst-18329	72	5	,	,	PUNCT
ajst-18329	72	6	p	p	NOUN
ajst-18329	72	7	m	m	PROPN
ajst-18329	72	8	,	,	PUNCT
ajst-18329	72	9	n	n	PRON
ajst-18329	72	10	represents	represent	VERB
ajst-18329	72	11	the	the	DET
ajst-18329	72	12	specific	specific	ADJ
ajst-18329	72	13	data	datum	NOUN
ajst-18329	72	14	of	of	ADP
ajst-18329	72	15	a	a	DET
ajst-18329	72	16	certain	certain	ADJ
ajst-18329	72	17	position	position	NOUN
ajst-18329	72	18	in	in	ADP
ajst-18329	72	19	the	the	DET
ajst-18329	72	20	converted	converted	ADJ
ajst-18329	72	21	picture	picture	NOUN
ajst-18329	72	22	;	;	PUNCT
ajst-18329	72	23	the	the	DET
ajst-18329	72	24	size	size	NOUN
ajst-18329	72	25	of	of	ADP
ajst-18329	72	26	the	the	DET
ajst-18329	72	27	converted	converted	ADJ
ajst-18329	72	28	two	two	NUM
ajst-18329	72	29	-	-	PUNCT
ajst-18329	72	30	dimensional	dimensional	ADJ
ajst-18329	72	31	gray	gray	ADJ
ajst-18329	72	32	image	image	NOUN
ajst-18329	72	33	is	be	AUX
ajst-18329	72	34	m*m	m*m	ADJ
ajst-18329	72	35	;	;	PUNCT
ajst-18329	72	36	l(i	l(i	NOUN
ajst-18329	72	37	)	)	PUNCT
ajst-18329	72	38	represents	represent	VERB
ajst-18329	72	39	the	the	DET
ajst-18329	72	40	value	value	NOUN
ajst-18329	72	41	of	of	ADP
ajst-18329	72	42	the	the	DET
ajst-18329	72	43	i	i	PRON
ajst-18329	72	44	the	the	DET
ajst-18329	72	45	data	data	NOUN
ajst-18329	72	46	point	point	NOUN
ajst-18329	72	47	in	in	ADP
ajst-18329	72	48	the	the	DET
ajst-18329	72	49	sampled	sample	VERB
ajst-18329	72	50	timing	timing	NOUN
ajst-18329	72	51	signal	signal	NOUN
ajst-18329	72	52	,	,	PUNCT
ajst-18329	72	53	whose	whose	DET
ajst-18329	72	54	total	total	ADJ
ajst-18329	72	55	length	length	NOUN
ajst-18329	72	56	is	be	AUX
ajst-18329	72	57	m2	m2	PROPN
ajst-18329	72	58	;	;	PUNCT
ajst-18329	72	59	round(x	round(x	NOUN
ajst-18329	72	60	)	)	PUNCT
ajst-18329	72	61	is	be	AUX
ajst-18329	72	62	a	a	DET
ajst-18329	72	63	rounding	round	VERB
ajst-18329	72	64	function	function	NOUN
ajst-18329	72	65	that	that	PRON
ajst-18329	72	66	can	can	AUX
ajst-18329	72	67	round	round	VERB
ajst-18329	72	68	the	the	DET
ajst-18329	72	69	data	datum	NOUN
ajst-18329	72	70	.	.	PUNCT
ajst-18329	73	1	before	before	SCONJ
ajst-18329	73	2	vision	vision	NOUN
ajst-18329	73	3	-	-	PUNCT
ajst-18329	73	4	transformer	transformer	NOUN
ajst-18329	73	5	appeared	appear	VERB
ajst-18329	73	6	,	,	PUNCT
ajst-18329	73	7	cnns	cnn	NOUN
ajst-18329	73	8	have	have	AUX
ajst-18329	73	9	always	always	ADV
ajst-18329	73	10	been	be	AUX
ajst-18329	73	11	the	the	DET
ajst-18329	73	12	dominant	dominant	ADJ
ajst-18329	73	13	model	model	NOUN
ajst-18329	73	14	in	in	ADP
ajst-18329	73	15	vision	vision	PROPN
ajst-18329	73	16	research	research	NOUN
ajst-18329	73	17	.	.	PUNCT
ajst-18329	74	1	both	both	PRON
ajst-18329	74	2	in	in	ADP
ajst-18329	74	3	terms	term	NOUN
ajst-18329	74	4	of	of	ADP
ajst-18329	74	5	architecture	architecture	NOUN
ajst-18329	74	6	scale	scale	NOUN
ajst-18329	74	7	and	and	CCONJ
ajst-18329	74	8	convolutional	convolutional	ADJ
ajst-18329	74	9	structure	structure	NOUN
ajst-18329	74	10	,	,	PUNCT
ajst-18329	74	11	cnns	cnn	NOUN
ajst-18329	74	12	provide	provide	VERB
ajst-18329	74	13	strong	strong	ADJ
ajst-18329	74	14	feature	feature	NOUN
ajst-18329	74	15	extraction	extraction	NOUN
ajst-18329	74	16	capability	capability	NOUN
ajst-18329	74	17	in	in	ADP
ajst-18329	74	18	deep	deep	ADJ
ajst-18329	74	19	learning	learn	VERB
ajst-18329	74	20	vision	vision	PROPN
ajst-18329	74	21	research	research	NOUN
ajst-18329	74	22	tasks	task	NOUN
ajst-18329	74	23	.	.	PUNCT
ajst-18329	75	1	in	in	ADP
ajst-18329	75	2	the	the	DET
ajst-18329	75	3	field	field	NOUN
ajst-18329	75	4	of	of	ADP
ajst-18329	75	5	natural	natural	ADJ
ajst-18329	75	6	language	language	NOUN
ajst-18329	75	7	processing	processing	NOUN
ajst-18329	75	8	,	,	PUNCT
ajst-18329	75	9	transformer	transformer	NOUN
ajst-18329	75	10	,	,	PUNCT
ajst-18329	75	11	as	as	ADP
ajst-18329	75	12	a	a	DET
ajst-18329	75	13	basic	basic	ADJ
ajst-18329	75	14	model	model	NOUN
ajst-18329	75	15	,	,	PUNCT
ajst-18329	75	16	utilizes	utilize	VERB
ajst-18329	75	17	self	self	NOUN
ajst-18329	75	18	-	-	PUNCT
ajst-18329	75	19	attention	attention	NOUN
ajst-18329	75	20	mechanism	mechanism	NOUN
ajst-18329	75	21	to	to	PART
ajst-18329	75	22	greatly	greatly	ADV
ajst-18329	75	23	improve	improve	VERB
ajst-18329	75	24	the	the	DET
ajst-18329	75	25	performance	performance	NOUN
ajst-18329	75	26	of	of	ADP
ajst-18329	75	27	language	language	NOUN
ajst-18329	75	28	modeling	modeling	NOUN
ajst-18329	75	29	.	.	PUNCT
ajst-18329	76	1	it	it	PRON
ajst-18329	76	2	is	be	AUX
ajst-18329	76	3	the	the	DET
ajst-18329	76	4	success	success	NOUN
ajst-18329	76	5	of	of	ADP
ajst-18329	76	6	this	this	DET
ajst-18329	76	7	model	model	NOUN
ajst-18329	76	8	that	that	PRON
ajst-18329	76	9	has	have	AUX
ajst-18329	76	10	led	lead	VERB
ajst-18329	76	11	people	people	NOUN
ajst-18329	76	12	to	to	PART
ajst-18329	76	13	gradually	gradually	ADV
ajst-18329	76	14	explore	explore	VERB
ajst-18329	76	15	whether	whether	SCONJ
ajst-18329	76	16	the	the	DET
ajst-18329	76	17	transformer	transformer	NOUN
ajst-18329	76	18	model	model	NOUN
ajst-18329	76	19	can	can	AUX
ajst-18329	76	20	be	be	AUX
ajst-18329	76	21	used	use	VERB
ajst-18329	76	22	in	in	ADP
ajst-18329	76	23	the	the	DET
ajst-18329	76	24	field	field	NOUN
ajst-18329	76	25	of	of	ADP
ajst-18329	76	26	vision	vision	NOUN
ajst-18329	76	27	research	research	NOUN
ajst-18329	76	28	.	.	PUNCT
ajst-18329	77	1	the	the	DET
ajst-18329	77	2	2020	2020	NUM
ajst-18329	77	3	vision	vision	NOUN
ajst-18329	77	4	transformer	transformer	NOUN
ajst-18329	77	5	(	(	PUNCT
ajst-18329	77	6	vit	vit	NOUN
ajst-18329	77	7	)	)	PUNCT
ajst-18329	77	8	model	model	NOUN
ajst-18329	77	9	[	[	X
ajst-18329	77	10	19	19	NUM
ajst-18329	77	11	]	]	PUNCT
ajst-18329	77	12	can	can	AUX
ajst-18329	77	13	achieve	achieve	VERB
ajst-18329	77	14	global	global	ADJ
ajst-18329	77	15	modeling	modeling	NOUN
ajst-18329	77	16	capability	capability	NOUN
ajst-18329	77	17	by	by	ADP
ajst-18329	77	18	calculating	calculate	VERB
ajst-18329	77	19	global	global	ADJ
ajst-18329	77	20	self	self	NOUN
ajst-18329	77	21	-	-	PUNCT
ajst-18329	77	22	attention	attention	NOUN
ajst-18329	77	23	operations	operation	NOUN
ajst-18329	77	24	.	.	PUNCT
ajst-18329	78	1	vit	vit	NOUN
ajst-18329	78	2	divides	divide	VERB
ajst-18329	78	3	the	the	DET
ajst-18329	78	4	input	input	NOUN
ajst-18329	78	5	image	image	NOUN
ajst-18329	78	6	into	into	ADP
ajst-18329	78	7	several	several	ADJ
ajst-18329	78	8	patches	patch	NOUN
ajst-18329	78	9	(	(	PUNCT
ajst-18329	78	10	16	16	NUM
ajst-18329	78	11	*	*	SYM
ajst-18329	78	12	16	16	NUM
ajst-18329	78	13	)	)	PUNCT
ajst-18329	78	14	,	,	PUNCT
ajst-18329	78	15	and	and	CCONJ
ajst-18329	78	16	then	then	ADV
ajst-18329	78	17	projects	project	VERB
ajst-18329	78	18	each	each	DET
ajst-18329	78	19	patch	patch	NOUN
ajst-18329	78	20	into	into	ADP
ajst-18329	78	21	transformer	transformer	NOUN
ajst-18329	78	22	as	as	ADP
ajst-18329	78	23	a	a	DET
ajst-18329	78	24	vector	vector	NOUN
ajst-18329	78	25	of	of	ADP
ajst-18329	78	26	fixed	fix	VERB
ajst-18329	78	27	length	length	NOUN
ajst-18329	78	28	.	.	PUNCT
ajst-18329	79	1	the	the	DET
ajst-18329	79	2	subsequent	subsequent	ADJ
ajst-18329	79	3	operation	operation	NOUN
ajst-18329	79	4	of	of	ADP
ajst-18329	79	5	encoder	encoder	NOUN
ajst-18329	79	6	is	be	AUX
ajst-18329	79	7	exactly	exactly	ADV
ajst-18329	79	8	the	the	DET
ajst-18329	79	9	same	same	ADJ
ajst-18329	79	10	as	as	ADP
ajst-18329	79	11	that	that	PRON
ajst-18329	79	12	in	in	ADP
ajst-18329	79	13	original	original	ADJ
ajst-18329	79	14	transformer	transformer	NOUN
ajst-18329	79	15	.	.	PUNCT
ajst-18329	80	1	however	however	ADV
ajst-18329	80	2	,	,	PUNCT
ajst-18329	80	3	because	because	SCONJ
ajst-18329	80	4	the	the	DET
ajst-18329	80	5	vit	vit	NOUN
ajst-18329	80	6	classifies	classify	VERB
ajst-18329	80	7	the	the	DET
ajst-18329	80	8	images	image	NOUN
ajst-18329	80	9	,	,	PUNCT
ajst-18329	80	10	a	a	DET
ajst-18329	80	11	special	special	ADJ
ajst-18329	80	12	token	token	NOUN
ajst-18329	80	13	is	be	AUX
ajst-18329	80	14	added	add	VERB
ajst-18329	80	15	to	to	ADP
ajst-18329	80	16	the	the	DET
ajst-18329	80	17	input	input	NOUN
ajst-18329	80	18	sequence	sequence	NOUN
ajst-18329	80	19	,	,	PUNCT
ajst-18329	80	20	and	and	CCONJ
ajst-18329	80	21	the	the	DET
ajst-18329	80	22	output	output	NOUN
ajst-18329	80	23	corresponding	correspond	VERB
ajst-18329	80	24	to	to	ADP
ajst-18329	80	25	the	the	DET
ajst-18329	80	26	token	token	NOUN
ajst-18329	80	27	is	be	AUX
ajst-18329	80	28	the	the	DET
ajst-18329	80	29	final	final	ADJ
ajst-18329	80	30	output	output	NOUN
ajst-18329	80	31	.	.	PUNCT
ajst-18329	81	1	vision	vision	NOUN
ajst-18329	81	2	-	-	PUNCT
ajst-18329	81	3	transformer	transformer	NOUN
ajst-18329	81	4	(	(	PUNCT
ajst-18329	81	5	vit	vit	NOUN
ajst-18329	81	6	)	)	PUNCT
ajst-18329	81	7	network	network	NOUN
ajst-18329	81	8	structure	structure	NOUN
ajst-18329	81	9	is	be	AUX
ajst-18329	81	10	shown	show	VERB
ajst-18329	81	11	in	in	ADP
ajst-18329	81	12	the	the	DET
ajst-18329	81	13	following	follow	VERB
ajst-18329	81	14	figure	figure	NOUN
ajst-18329	81	15	:	:	PUNCT
ajst-18329	81	16	81	81	NUM
ajst-18329	81	17	class	class	NOUN
ajst-18329	81	18	mlp	mlp	PROPN
ajst-18329	81	19	head	head	NOUN
ajst-18329	81	20	transformer	transformer	NOUN
ajst-18329	81	21	encode	encode	ADJ
ajst-18329	81	22	0	0	PUNCT
ajst-18329	82	1	*	*	SYM
ajst-18329	82	2	1	1	NUM
ajst-18329	82	3	32	32	NUM
ajst-18329	82	4	4	4	NUM
ajst-18329	82	5	5	5	NUM
ajst-18329	82	6	76	76	NUM
ajst-18329	82	7	98	98	NUM
ajst-18329	82	8	linear	linear	ADJ
ajst-18329	82	9	projection	projection	NOUN
ajst-18329	82	10	of	of	ADP
ajst-18329	82	11	flattened	flatten	VERB
ajst-18329	82	12	patches	patch	NOUN
ajst-18329	82	13	patch	patch	VERB
ajst-18329	82	14	+	+	CCONJ
ajst-18329	82	15	position	position	NOUN
ajst-18329	82	16	embedding	embed	VERB
ajst-18329	82	17	*	*	PUNCT
ajst-18329	82	18	extra	extra	ADJ
ajst-18329	82	19	learnable	learnable	ADJ
ajst-18329	82	20	[	[	X
ajst-18329	82	21	class	class	NOUN
ajst-18329	82	22	]	]	PUNCT
ajst-18329	82	23	embedding	embed	VERB
ajst-18329	82	24	figure	figure	NOUN
ajst-18329	82	25	4	4	NUM
ajst-18329	82	26	.	.	PUNCT
ajst-18329	83	1	vit	vit	ADJ
ajst-18329	83	2	flow	flow	NOUN
ajst-18329	83	3	frame	frame	PROPN
ajst-18329	83	4	diagram	diagram	NOUN
ajst-18329	83	5	mlp	mlp	PROPN
ajst-18329	83	6	norm	norm	PROPN
ajst-18329	83	7	multi	multi	ADJ
ajst-18329	83	8	-	-	ADJ
ajst-18329	83	9	head	head	ADJ
ajst-18329	83	10	attention	attention	NOUN
ajst-18329	83	11	norm	norm	NOUN
ajst-18329	83	12	⊕	⊕	PROPN
ajst-18329	83	13	⊕	⊕	PROPN
ajst-18329	83	14	embedded	embed	VERB
ajst-18329	83	15	patches	patch	NOUN
ajst-18329	84	1	lx	lx	PART
ajst-18329	84	2	figure	figure	NOUN
ajst-18329	84	3	5	5	NUM
ajst-18329	84	4	.	.	PUNCT
ajst-18329	84	5	transformer	transformer	NOUN
ajst-18329	84	6	encoder	encoder	NOUN
ajst-18329	84	7	module	module	NOUN
ajst-18329	84	8	as	as	SCONJ
ajst-18329	84	9	can	can	AUX
ajst-18329	84	10	be	be	AUX
ajst-18329	84	11	seen	see	VERB
ajst-18329	84	12	from	from	ADP
ajst-18329	84	13	the	the	DET
ajst-18329	84	14	figure	figure	NOUN
ajst-18329	84	15	above	above	ADV
ajst-18329	84	16	,	,	PUNCT
ajst-18329	84	17	the	the	DET
ajst-18329	84	18	entire	entire	ADJ
ajst-18329	84	19	process	process	NOUN
ajst-18329	84	20	of	of	ADP
ajst-18329	84	21	vision	vision	NOUN
ajst-18329	84	22	-	-	PUNCT
ajst-18329	84	23	transformer	transformer	NOUN
ajst-18329	84	24	model	model	NOUN
ajst-18329	84	25	framework	framework	NOUN
ajst-18329	84	26	is	be	AUX
ajst-18329	84	27	as	as	SCONJ
ajst-18329	84	28	follows	follow	VERB
ajst-18329	84	29	:	:	PUNCT
ajst-18329	84	30	first	first	ADV
ajst-18329	84	31	of	of	ADP
ajst-18329	84	32	all	all	PRON
ajst-18329	84	33	,	,	PUNCT
ajst-18329	84	34	the	the	DET
ajst-18329	84	35	picture	picture	NOUN
ajst-18329	84	36	(	(	PUNCT
ajst-18329	84	37	224	224	NUM
ajst-18329	84	38	*	*	NUM
ajst-18329	84	39	224	224	NUM
ajst-18329	84	40	)	)	PUNCT
ajst-18329	84	41	is	be	AUX
ajst-18329	84	42	divided	divide	VERB
ajst-18329	84	43	into	into	ADP
ajst-18329	84	44	patches	patch	NOUN
ajst-18329	84	45	(	(	PUNCT
ajst-18329	84	46	16	16	NUM
ajst-18329	84	47	*	*	SYM
ajst-18329	84	48	16	16	NUM
ajst-18329	84	49	)	)	PUNCT
ajst-18329	84	50	of	of	ADP
ajst-18329	84	51	fixed	fix	VERB
ajst-18329	84	52	size	size	NOUN
ajst-18329	84	53	on	on	ADP
ajst-18329	84	54	the	the	DET
ajst-18329	84	55	patch	patch	NOUN
ajst-18329	84	56	embedding	embed	VERB
ajst-18329	84	57	.	.	PUNCT
ajst-18329	85	1	then	then	ADV
ajst-18329	85	2	each	each	DET
ajst-18329	85	3	image	image	NOUN
ajst-18329	85	4	will	will	AUX
ajst-18329	85	5	generate	generate	VERB
ajst-18329	85	6	224	224	NUM
ajst-18329	85	7	*	*	SYM
ajst-18329	85	8	224/16	224/16	NUM
ajst-18329	85	9	*	*	SYM
ajst-18329	85	10	16=196	16=196	NUM
ajst-18329	85	11	patches	patch	NOUN
ajst-18329	85	12	,	,	PUNCT
ajst-18329	85	13	that	that	ADV
ajst-18329	85	14	is	is	ADV
ajst-18329	85	15	,	,	PUNCT
ajst-18329	85	16	the	the	DET
ajst-18329	85	17	length	length	NOUN
ajst-18329	85	18	of	of	ADP
ajst-18329	85	19	the	the	DET
ajst-18329	85	20	input	input	NOUN
ajst-18329	85	21	sequence	sequence	NOUN
ajst-18329	85	22	is	be	AUX
ajst-18329	85	23	196	196	NUM
ajst-18329	85	24	,	,	PUNCT
ajst-18329	85	25	and	and	CCONJ
ajst-18329	85	26	the	the	DET
ajst-18329	85	27	dimension	dimension	NOUN
ajst-18329	85	28	of	of	ADP
ajst-18329	85	29	each	each	DET
ajst-18329	85	30	patch	patch	NOUN
ajst-18329	85	31	is	be	AUX
ajst-18329	85	32	16	16	NUM
ajst-18329	85	33	*	*	SYM
ajst-18329	85	34	16	16	NUM
ajst-18329	85	35	*	*	SYM
ajst-18329	85	36	3=768	3=768	NUM
ajst-18329	85	37	.	.	PUNCT
ajst-18329	86	1	the	the	DET
ajst-18329	86	2	dimension	dimension	NOUN
ajst-18329	86	3	of	of	ADP
ajst-18329	86	4	the	the	DET
ajst-18329	86	5	linear	linear	PROPN
ajst-18329	86	6	projection	projection	NOUN
ajst-18329	86	7	layer	layer	NOUN
ajst-18329	86	8	is	be	AUX
ajst-18329	86	9	768*n	768*n	NOUN
ajst-18329	86	10	(	(	PUNCT
ajst-18329	86	11	n=768	n=768	PROPN
ajst-18329	86	12	)	)	PUNCT
ajst-18329	86	13	,	,	PUNCT
ajst-18329	86	14	so	so	CCONJ
ajst-18329	86	15	the	the	DET
ajst-18329	86	16	dimension	dimension	NOUN
ajst-18329	86	17	after	after	SCONJ
ajst-18329	86	18	the	the	DET
ajst-18329	86	19	input	input	NOUN
ajst-18329	86	20	passes	pass	VERB
ajst-18329	86	21	through	through	ADP
ajst-18329	86	22	the	the	DET
ajst-18329	86	23	linear	linear	PROPN
ajst-18329	86	24	projection	projection	NOUN
ajst-18329	86	25	layer	layer	NOUN
ajst-18329	86	26	is	be	AUX
ajst-18329	86	27	still	still	ADV
ajst-18329	86	28	196	196	NUM
ajst-18329	86	29	*	*	NOUN
ajst-18329	86	30	768	768	NUM
ajst-18329	86	31	,	,	PUNCT
ajst-18329	86	32	that	that	ADV
ajst-18329	86	33	is	is	ADV
ajst-18329	86	34	,	,	PUNCT
ajst-18329	86	35	there	there	PRON
ajst-18329	86	36	are	be	VERB
ajst-18329	86	37	196	196	NUM
ajst-18329	86	38	tokens	token	NOUN
ajst-18329	86	39	,	,	PUNCT
ajst-18329	86	40	and	and	CCONJ
ajst-18329	86	41	the	the	DET
ajst-18329	86	42	dimension	dimension	NOUN
ajst-18329	86	43	of	of	ADP
ajst-18329	86	44	each	each	DET
ajst-18329	86	45	token	token	VERB
ajst-18329	86	46	is	be	AUX
ajst-18329	86	47	768	768	NUM
ajst-18329	86	48	.	.	PUNCT
ajst-18329	87	1	a	a	DET
ajst-18329	87	2	special	special	ADJ
ajst-18329	87	3	character	character	NOUN
ajst-18329	87	4	class	class	NOUN
ajst-18329	87	5	needs	need	VERB
ajst-18329	87	6	to	to	PART
ajst-18329	87	7	be	be	AUX
ajst-18329	87	8	added	add	VERB
ajst-18329	87	9	,	,	PUNCT
ajst-18329	87	10	so	so	CCONJ
ajst-18329	87	11	the	the	DET
ajst-18329	87	12	final	final	ADJ
ajst-18329	87	13	dimension	dimension	NOUN
ajst-18329	87	14	is	be	AUX
ajst-18329	87	15	197x768	197x768	NUM
ajst-18329	87	16	.	.	PUNCT
ajst-18329	88	1	so	so	ADV
ajst-18329	88	2	far	far	ADV
ajst-18329	88	3	,	,	PUNCT
ajst-18329	88	4	a	a	DET
ajst-18329	88	5	visual	visual	ADJ
ajst-18329	88	6	problem	problem	NOUN
ajst-18329	88	7	has	have	AUX
ajst-18329	88	8	been	be	AUX
ajst-18329	88	9	transformed	transform	VERB
ajst-18329	88	10	into	into	ADP
ajst-18329	88	11	a	a	DET
ajst-18329	88	12	seq2seq	seq2seq	NOUN
ajst-18329	88	13	problem	problem	NOUN
ajst-18329	88	14	by	by	ADP
ajst-18329	88	15	patch	patch	NOUN
ajst-18329	88	16	embedding	embed	VERB
ajst-18329	88	17	.	.	PUNCT
ajst-18329	89	1	after	after	ADP
ajst-18329	89	2	adding	add	VERB
ajst-18329	89	3	the	the	DET
ajst-18329	89	4	location	location	NOUN
ajst-18329	89	5	code	code	NOUN
ajst-18329	89	6	,	,	PUNCT
ajst-18329	89	7	the	the	DET
ajst-18329	89	8	location	location	NOUN
ajst-18329	89	9	code	code	NOUN
ajst-18329	89	10	has	have	VERB
ajst-18329	89	11	a	a	DET
ajst-18329	89	12	total	total	NOUN
ajst-18329	89	13	of	of	ADP
ajst-18329	89	14	n	n	DET
ajst-18329	89	15	lines	line	NOUN
ajst-18329	89	16	(	(	PUNCT
ajst-18329	89	17	n	n	NOUN
ajst-18329	89	18	and	and	CCONJ
ajst-18329	89	19	the	the	DET
ajst-18329	89	20	length	length	NOUN
ajst-18329	89	21	of	of	ADP
ajst-18329	89	22	the	the	DET
ajst-18329	89	23	input	input	NOUN
ajst-18329	89	24	sequence	sequence	NOUN
ajst-18329	89	25	)	)	PUNCT
ajst-18329	89	26	,	,	PUNCT
ajst-18329	89	27	each	each	DET
ajst-18329	89	28	line	line	NOUN
ajst-18329	89	29	is	be	AUX
ajst-18329	89	30	a	a	DET
ajst-18329	89	31	vector	vector	NOUN
ajst-18329	89	32	with	with	ADP
ajst-18329	89	33	the	the	DET
ajst-18329	89	34	same	same	ADJ
ajst-18329	89	35	dimension	dimension	NOUN
ajst-18329	89	36	as	as	ADP
ajst-18329	89	37	the	the	DET
ajst-18329	89	38	embedding	embed	VERB
ajst-18329	89	39	dimension	dimension	NOUN
ajst-18329	89	40	,	,	PUNCT
ajst-18329	89	41	after	after	ADP
ajst-18329	89	42	this	this	DET
ajst-18329	89	43	operation	operation	NOUN
ajst-18329	89	44	,	,	PUNCT
ajst-18329	89	45	the	the	DET
ajst-18329	89	46	dimension	dimension	NOUN
ajst-18329	89	47	remains	remain	VERB
ajst-18329	89	48	unchanged	unchanged	ADJ
ajst-18329	89	49	.	.	PUNCT
ajst-18329	90	1	it	it	PRON
ajst-18329	90	2	is	be	AUX
ajst-18329	90	3	then	then	ADV
ajst-18329	90	4	input	input	ADJ
ajst-18329	90	5	into	into	ADP
ajst-18329	90	6	multiple	multiple	ADJ
ajst-18329	90	7	blocks	block	NOUN
ajst-18329	90	8	stacked	stack	VERB
ajst-18329	90	9	by	by	ADP
ajst-18329	90	10	the	the	DET
ajst-18329	90	11	transformer	transformer	NOUN
ajst-18329	90	12	encoder	encoder	NOUN
ajst-18329	90	13	,	,	PUNCT
ajst-18329	90	14	and	and	CCONJ
ajst-18329	90	15	finally	finally	ADV
ajst-18329	90	16	the	the	DET
ajst-18329	90	17	output	output	NOUN
ajst-18329	90	18	corresponding	correspond	VERB
ajst-18329	90	19	to	to	ADP
ajst-18329	90	20	the	the	DET
ajst-18329	90	21	class	class	NOUN
ajst-18329	90	22	is	be	AUX
ajst-18329	90	23	used	use	VERB
ajst-18329	90	24	as	as	ADP
ajst-18329	90	25	its	its	PRON
ajst-18329	90	26	final	final	ADJ
ajst-18329	90	27	output	output	NOUN
ajst-18329	90	28	after	after	ADP
ajst-18329	90	29	multiple	multiple	ADJ
ajst-18329	90	30	self	self	NOUN
ajst-18329	90	31	-	-	PUNCT
ajst-18329	90	32	attention	attention	NOUN
ajst-18329	90	33	.	.	PUNCT
ajst-18329	91	1	vit	vit	PROPN
ajst-18329	91	2	uses	use	VERB
ajst-18329	91	3	global	global	ADJ
ajst-18329	91	4	relationship	relationship	NOUN
ajst-18329	91	5	modeling	modeling	NOUN
ajst-18329	91	6	to	to	PART
ajst-18329	91	7	expand	expand	VERB
ajst-18329	91	8	the	the	DET
ajst-18329	91	9	receptive	receptive	ADJ
ajst-18329	91	10	field	field	NOUN
ajst-18329	91	11	of	of	ADP
ajst-18329	91	12	the	the	DET
ajst-18329	91	13	image	image	NOUN
ajst-18329	91	14	to	to	PART
ajst-18329	91	15	obtain	obtain	VERB
ajst-18329	91	16	more	more	ADJ
ajst-18329	91	17	context	context	NOUN
ajst-18329	91	18	information	information	NOUN
ajst-18329	91	19	,	,	PUNCT
ajst-18329	91	20	and	and	CCONJ
ajst-18329	91	21	uses	use	VERB
ajst-18329	91	22	multi	multi	ADJ
ajst-18329	91	23	-	-	ADJ
ajst-18329	91	24	head	head	ADJ
ajst-18329	91	25	self	self	NOUN
ajst-18329	91	26	-	-	PUNCT
ajst-18329	91	27	attention	attention	NOUN
ajst-18329	91	28	mechanism	mechanism	NOUN
ajst-18329	91	29	to	to	PART
ajst-18329	91	30	distinguish	distinguish	VERB
ajst-18329	91	31	which	which	DET
ajst-18329	91	32	features	feature	NOUN
ajst-18329	91	33	are	be	AUX
ajst-18329	91	34	more	more	ADV
ajst-18329	91	35	important	important	ADJ
ajst-18329	91	36	to	to	ADP
ajst-18329	91	37	the	the	DET
ajst-18329	91	38	task	task	NOUN
ajst-18329	91	39	,	,	PUNCT
ajst-18329	91	40	making	make	VERB
ajst-18329	91	41	the	the	DET
ajst-18329	91	42	output	output	NOUN
ajst-18329	91	43	results	result	NOUN
ajst-18329	91	44	of	of	ADP
ajst-18329	91	45	the	the	DET
ajst-18329	91	46	model	model	NOUN
ajst-18329	91	47	more	more	ADV
ajst-18329	91	48	explanatory	explanatory	ADJ
ajst-18329	91	49	.	.	PUNCT
ajst-18329	92	1	experiment	experiment	NOUN
ajst-18329	92	2	and	and	CCONJ
ajst-18329	92	3	discussion	discussion	NOUN
ajst-18329	92	4	4	4	NUM
ajst-18329	92	5	.	.	PUNCT
ajst-18329	93	1	diagnostic	diagnostic	ADJ
ajst-18329	93	2	process	process	NOUN
ajst-18329	93	3	the	the	DET
ajst-18329	93	4	main	main	ADJ
ajst-18329	93	5	process	process	NOUN
ajst-18329	93	6	of	of	ADP
ajst-18329	93	7	the	the	DET
ajst-18329	93	8	model	model	NOUN
ajst-18329	93	9	method	method	NOUN
ajst-18329	93	10	proposed	propose	VERB
ajst-18329	93	11	in	in	ADP
ajst-18329	93	12	this	this	DET
ajst-18329	93	13	paper	paper	NOUN
ajst-18329	93	14	includes	include	VERB
ajst-18329	93	15	the	the	DET
ajst-18329	93	16	pre	pre	NOUN
ajst-18329	93	17	-	-	NOUN
ajst-18329	93	18	processing	processing	NOUN
ajst-18329	93	19	of	of	ADP
ajst-18329	93	20	data	datum	NOUN
ajst-18329	93	21	set	set	VERB
ajst-18329	93	22	noise	noise	NOUN
ajst-18329	93	23	reduction	reduction	NOUN
ajst-18329	93	24	,	,	PUNCT
ajst-18329	93	25	signal	signal	NOUN
ajst-18329	93	26	-	-	PUNCT
ajst-18329	93	27	image	image	NOUN
ajst-18329	93	28	conversion	conversion	NOUN
ajst-18329	93	29	,	,	PUNCT
ajst-18329	93	30	and	and	CCONJ
ajst-18329	93	31	model	model	NOUN
ajst-18329	93	32	training	training	NOUN
ajst-18329	93	33	and	and	CCONJ
ajst-18329	93	34	verification	verification	NOUN
ajst-18329	93	35	.	.	PUNCT
ajst-18329	94	1	the	the	DET
ajst-18329	94	2	process	process	NOUN
ajst-18329	94	3	is	be	AUX
ajst-18329	94	4	as	as	SCONJ
ajst-18329	94	5	follows	follow	VERB
ajst-18329	94	6	:	:	PUNCT
ajst-18329	95	1	故障数据集	故障数据集	PROPN
ajst-18329	95	2	vmd分解	vmd分解	PROPN
ajst-18329	95	3	有噪声imf分量	有噪声imf分量	PROPN
ajst-18329	96	1	其余imf分量	其余imf分量	PROPN
ajst-18329	96	2	去噪后imf分量	去噪后imf分量	PROPN
ajst-18329	97	1	纯净信号	纯净信号	PROPN
ajst-18329	98	1	信号	信号	ADP
ajst-18329	98	2	-	-	PUNCT
ajst-18329	98	3	图像转换	图像转换	ADJ
ajst-18329	98	4	vit诊断模型	vit诊断模型	NOUN
ajst-18329	98	5	诊断	诊断	PUNCT
ajst-18329	98	6	互相关系数筛选	互相关系数筛选	NOUN
ajst-18329	98	7	小波包阈值降噪	小波包阈值降噪	PROPN
ajst-18329	98	8	figure	figure	NOUN
ajst-18329	98	9	6	6	NUM
ajst-18329	98	10	.	.	PUNCT
ajst-18329	99	1	diagnostic	diagnostic	ADJ
ajst-18329	99	2	flow	flow	NOUN
ajst-18329	99	3	chart	chart	NOUN
ajst-18329	99	4	82	82	NUM
ajst-18329	99	5	vmd	vmd	PROPN
ajst-18329	99	6	-	-	PROPN
ajst-18329	99	7	wpt	wpt	PROPN
ajst-18329	99	8	-	-	ADJ
ajst-18329	99	9	vit	vit	PROPN
ajst-18329	99	10	algorithm	algorithm	NOUN
ajst-18329	99	11	model	model	NOUN
ajst-18329	99	12	firstly	firstly	ADV
ajst-18329	99	13	decomposed	decompose	VERB
ajst-18329	99	14	the	the	DET
ajst-18329	99	15	vibration	vibration	NOUN
ajst-18329	99	16	data	datum	NOUN
ajst-18329	99	17	of	of	ADP
ajst-18329	99	18	rolling	rolling	ADJ
ajst-18329	99	19	bearing	bearing	NOUN
ajst-18329	99	20	by	by	ADP
ajst-18329	99	21	vmd	vmd	PROPN
ajst-18329	99	22	,	,	PUNCT
ajst-18329	99	23	calculated	calculate	VERB
ajst-18329	99	24	the	the	DET
ajst-18329	99	25	interrelation	interrelation	NOUN
ajst-18329	99	26	number	number	NOUN
ajst-18329	99	27	of	of	ADP
ajst-18329	99	28	each	each	DET
ajst-18329	99	29	eigenmode	eigenmode	ADJ
ajst-18329	99	30	component	component	NOUN
ajst-18329	99	31	and	and	CCONJ
ajst-18329	99	32	the	the	DET
ajst-18329	99	33	original	original	ADJ
ajst-18329	99	34	signal	signal	NOUN
ajst-18329	99	35	data	datum	NOUN
ajst-18329	99	36	,	,	PUNCT
ajst-18329	99	37	selected	select	VERB
ajst-18329	99	38	the	the	DET
ajst-18329	99	39	component	component	NOUN
ajst-18329	99	40	with	with	ADP
ajst-18329	99	41	small	small	ADJ
ajst-18329	99	42	interrelation	interrelation	NOUN
ajst-18329	99	43	number	number	NOUN
ajst-18329	99	44	as	as	ADP
ajst-18329	99	45	the	the	DET
ajst-18329	99	46	component	component	NOUN
ajst-18329	99	47	containing	contain	VERB
ajst-18329	99	48	noise	noise	NOUN
ajst-18329	99	49	,	,	PUNCT
ajst-18329	99	50	and	and	CCONJ
ajst-18329	99	51	denoised	denoise	VERB
ajst-18329	99	52	it	it	PRON
ajst-18329	99	53	by	by	ADP
ajst-18329	99	54	wavelet	wavelet	NOUN
ajst-18329	99	55	packet	packet	NOUN
ajst-18329	99	56	threshold	threshold	NOUN
ajst-18329	99	57	denoising	denoising	NOUN
ajst-18329	99	58	algorithm	algorithm	NOUN
ajst-18329	99	59	.	.	PUNCT
ajst-18329	100	1	after	after	ADP
ajst-18329	100	2	that	that	PRON
ajst-18329	100	3	,	,	PUNCT
ajst-18329	100	4	the	the	DET
ajst-18329	100	5	denoised	denoise	VERB
ajst-18329	100	6	components	component	NOUN
ajst-18329	100	7	are	be	AUX
ajst-18329	100	8	reconstructed	reconstruct	VERB
ajst-18329	100	9	with	with	ADP
ajst-18329	100	10	other	other	ADJ
ajst-18329	100	11	components	component	NOUN
ajst-18329	100	12	to	to	PART
ajst-18329	100	13	obtain	obtain	VERB
ajst-18329	100	14	the	the	DET
ajst-18329	100	15	denoised	denoise	VERB
ajst-18329	100	16	signal	signal	NOUN
ajst-18329	100	17	data	datum	NOUN
ajst-18329	100	18	,	,	PUNCT
ajst-18329	100	19	and	and	CCONJ
ajst-18329	100	20	then	then	ADV
ajst-18329	100	21	these	these	DET
ajst-18329	100	22	data	datum	NOUN
ajst-18329	100	23	are	be	AUX
ajst-18329	100	24	converted	convert	VERB
ajst-18329	100	25	into	into	ADP
ajst-18329	100	26	two	two	NUM
ajst-18329	100	27	-	-	PUNCT
ajst-18329	100	28	dimensional	dimensional	ADJ
ajst-18329	100	29	gray	gray	ADJ
ajst-18329	100	30	scale	scale	NOUN
ajst-18329	100	31	graphs	graph	NOUN
ajst-18329	100	32	and	and	CCONJ
ajst-18329	100	33	input	input	NOUN
ajst-18329	100	34	into	into	ADP
ajst-18329	100	35	the	the	DET
ajst-18329	100	36	vit	vit	ADJ
ajst-18329	100	37	model	model	NOUN
ajst-18329	100	38	for	for	ADP
ajst-18329	100	39	training	training	NOUN
ajst-18329	100	40	.	.	PUNCT
ajst-18329	101	1	the	the	DET
ajst-18329	101	2	model	model	NOUN
ajst-18329	101	3	with	with	ADP
ajst-18329	101	4	optimal	optimal	ADJ
ajst-18329	101	5	parameters	parameter	NOUN
ajst-18329	101	6	is	be	AUX
ajst-18329	101	7	obtained	obtain	VERB
ajst-18329	101	8	through	through	ADP
ajst-18329	101	9	the	the	DET
ajst-18329	101	10	training	training	NOUN
ajst-18329	101	11	data	datum	NOUN
ajst-18329	101	12	set	set	VERB
ajst-18329	101	13	,	,	PUNCT
ajst-18329	101	14	and	and	CCONJ
ajst-18329	101	15	the	the	DET
ajst-18329	101	16	test	test	NOUN
ajst-18329	101	17	set	set	VERB
ajst-18329	101	18	data	datum	NOUN
ajst-18329	101	19	is	be	AUX
ajst-18329	101	20	input	input	VERB
ajst-18329	101	21	into	into	ADP
ajst-18329	101	22	the	the	DET
ajst-18329	101	23	model	model	NOUN
ajst-18329	101	24	for	for	ADP
ajst-18329	101	25	testing	testing	NOUN
ajst-18329	101	26	.	.	PUNCT
ajst-18329	102	1	5	5	X
ajst-18329	102	2	.	.	X
ajst-18329	102	3	experiment	experiment	NOUN
ajst-18329	102	4	and	and	CCONJ
ajst-18329	102	5	discussion	discussion	NOUN
ajst-18329	102	6	5.1	5.1	NUM
ajst-18329	102	7	.	.	PUNCT
ajst-18329	103	1	vmd	vmd	PROPN
ajst-18329	103	2	-	-	PROPN
ajst-18329	103	3	wpt	wpt	PROPN
ajst-18329	103	4	noise	noise	NOUN
ajst-18329	103	5	reduction	reduction	NOUN
ajst-18329	103	6	as	as	ADP
ajst-18329	103	7	an	an	DET
ajst-18329	103	8	important	important	ADJ
ajst-18329	103	9	part	part	NOUN
ajst-18329	103	10	of	of	ADP
ajst-18329	103	11	the	the	DET
ajst-18329	103	12	wind	wind	NOUN
ajst-18329	103	13	turbine	turbine	NOUN
ajst-18329	103	14	,	,	PUNCT
ajst-18329	103	15	the	the	DET
ajst-18329	103	16	rolling	rolling	ADJ
ajst-18329	103	17	bearing	bearing	NOUN
ajst-18329	103	18	's	's	PART
ajst-18329	103	19	normal	normal	ADJ
ajst-18329	103	20	operation	operation	NOUN
ajst-18329	103	21	is	be	AUX
ajst-18329	103	22	very	very	ADV
ajst-18329	103	23	important	important	ADJ
ajst-18329	103	24	for	for	ADP
ajst-18329	103	25	the	the	DET
ajst-18329	103	26	fan	fan	NOUN
ajst-18329	103	27	.	.	PUNCT
ajst-18329	104	1	therefore	therefore	ADV
ajst-18329	104	2	,	,	PUNCT
ajst-18329	104	3	the	the	DET
ajst-18329	104	4	vibration	vibration	NOUN
ajst-18329	104	5	data	datum	NOUN
ajst-18329	104	6	of	of	ADP
ajst-18329	104	7	rolling	rolling	ADJ
ajst-18329	104	8	bearings	bearing	NOUN
ajst-18329	104	9	in	in	ADP
ajst-18329	104	10	cwru	cwru	PROPN
ajst-18329	104	11	data	datum	NOUN
ajst-18329	104	12	set	set	VERB
ajst-18329	104	13	is	be	AUX
ajst-18329	104	14	selected	select	VERB
ajst-18329	104	15	for	for	ADP
ajst-18329	104	16	the	the	DET
ajst-18329	104	17	experiment	experiment	NOUN
ajst-18329	104	18	.	.	PUNCT
ajst-18329	105	1	the	the	DET
ajst-18329	105	2	data	datum	NOUN
ajst-18329	105	3	set	set	VERB
ajst-18329	105	4	mainly	mainly	ADV
ajst-18329	105	5	includes	include	VERB
ajst-18329	105	6	rolling	rolling	ADJ
ajst-18329	105	7	element	element	NOUN
ajst-18329	105	8	(	(	PUNCT
ajst-18329	105	9	re	re	NOUN
ajst-18329	105	10	)	)	PUNCT
ajst-18329	105	11	,	,	PUNCT
ajst-18329	105	12	inner	inner	ADJ
ajst-18329	105	13	ring	ring	NOUN
ajst-18329	105	14	(	(	PUNCT
ajst-18329	105	15	ir	ir	NOUN
ajst-18329	105	16	)	)	PUNCT
ajst-18329	105	17	and	and	CCONJ
ajst-18329	105	18	outer	outer	ADJ
ajst-18329	105	19	ring	ring	NOUN
ajst-18329	105	20	(	(	PUNCT
ajst-18329	105	21	or	or	CCONJ
ajst-18329	105	22	)	)	PUNCT
ajst-18329	105	23	faults	fault	NOUN
ajst-18329	105	24	.	.	PUNCT
ajst-18329	106	1	each	each	DET
ajst-18329	106	2	type	type	NOUN
ajst-18329	106	3	of	of	ADP
ajst-18329	106	4	failure	failure	NOUN
ajst-18329	106	5	has	have	VERB
ajst-18329	106	6	three	three	NUM
ajst-18329	106	7	different	different	ADJ
ajst-18329	106	8	sizes	size	NOUN
ajst-18329	106	9	of	of	ADP
ajst-18329	106	10	damage	damage	NOUN
ajst-18329	106	11	diameters	diameter	NOUN
ajst-18329	106	12	of	of	ADP
ajst-18329	106	13	0.018	0.018	NUM
ajst-18329	106	14	mm	mm	NOUN
ajst-18329	106	15	(	(	PUNCT
ajst-18329	106	16	0.007	0.007	NUM
ajst-18329	106	17	in	in	ADP
ajst-18329	106	18	)	)	PUNCT
ajst-18329	106	19	,	,	PUNCT
ajst-18329	106	20	0.36	0.36	NUM
ajst-18329	106	21	mm	mm	NOUN
ajst-18329	106	22	(	(	PUNCT
ajst-18329	106	23	0.014	0.014	NUM
ajst-18329	106	24	in	in	ADP
ajst-18329	106	25	)	)	PUNCT
ajst-18329	106	26	and	and	CCONJ
ajst-18329	106	27	0.54	0.54	NUM
ajst-18329	106	28	mm	mm	NOUN
ajst-18329	106	29	(	(	PUNCT
ajst-18329	106	30	0.028	0.028	NUM
ajst-18329	106	31	in	in	ADP
ajst-18329	106	32	)	)	PUNCT
ajst-18329	106	33	:	:	PUNCT
ajst-18329	106	34	the	the	DET
ajst-18329	106	35	above	above	ADJ
ajst-18329	106	36	9	9	NUM
ajst-18329	106	37	faults	fault	NOUN
ajst-18329	106	38	and	and	CCONJ
ajst-18329	106	39	the	the	DET
ajst-18329	106	40	normal	normal	ADJ
ajst-18329	106	41	state	state	NOUN
ajst-18329	106	42	of	of	ADP
ajst-18329	106	43	the	the	DET
ajst-18329	106	44	bearing	bearing	NOUN
ajst-18329	106	45	together	together	ADV
ajst-18329	106	46	constitute	constitute	VERB
ajst-18329	106	47	the	the	DET
ajst-18329	106	48	10	10	NUM
ajst-18329	106	49	health	health	NOUN
ajst-18329	106	50	states	state	NOUN
ajst-18329	106	51	of	of	ADP
ajst-18329	106	52	the	the	DET
ajst-18329	106	53	experiment	experiment	NOUN
ajst-18329	106	54	.	.	PUNCT
ajst-18329	107	1	each	each	DET
ajst-18329	107	2	health	health	NOUN
ajst-18329	107	3	state	state	NOUN
ajst-18329	107	4	has	have	VERB
ajst-18329	107	5	2000	2000	NUM
ajst-18329	107	6	samples	sample	NOUN
ajst-18329	107	7	,	,	PUNCT
ajst-18329	107	8	and	and	CCONJ
ajst-18329	107	9	each	each	DET
ajst-18329	107	10	sample	sample	NOUN
ajst-18329	107	11	is	be	AUX
ajst-18329	107	12	obtained	obtain	VERB
ajst-18329	107	13	by	by	ADP
ajst-18329	107	14	collecting	collect	VERB
ajst-18329	107	15	50176	50176	NUM
ajst-18329	107	16	data	datum	NOUN
ajst-18329	107	17	points	point	NOUN
ajst-18329	107	18	continuously	continuously	ADV
ajst-18329	107	19	at	at	ADP
ajst-18329	107	20	a	a	DET
ajst-18329	107	21	collection	collection	NOUN
ajst-18329	107	22	frequency	frequency	NOUN
ajst-18329	107	23	of	of	ADP
ajst-18329	107	24	12kw	12kw	PROPN
ajst-18329	107	25	.	.	PUNCT
ajst-18329	108	1	then	then	ADV
ajst-18329	108	2	,	,	PUNCT
ajst-18329	108	3	these	these	DET
ajst-18329	108	4	samples	sample	NOUN
ajst-18329	108	5	are	be	AUX
ajst-18329	108	6	converted	convert	VERB
ajst-18329	108	7	into	into	ADP
ajst-18329	108	8	two	two	NUM
ajst-18329	108	9	-	-	PUNCT
ajst-18329	108	10	dimensional	dimensional	ADJ
ajst-18329	108	11	gray	gray	ADJ
ajst-18329	108	12	graphs	graph	NOUN
ajst-18329	108	13	through	through	ADP
ajst-18329	108	14	vmd	vmd	PROPN
ajst-18329	108	15	-	-	PROPN
ajst-18329	108	16	wpt	wpt	PROPN
ajst-18329	108	17	denoising	denoising	NOUN
ajst-18329	108	18	and	and	CCONJ
ajst-18329	108	19	input	input	NOUN
ajst-18329	108	20	into	into	ADP
ajst-18329	108	21	swint	swint	NOUN
ajst-18329	108	22	model	model	NOUN
ajst-18329	108	23	for	for	ADP
ajst-18329	108	24	fault	fault	NOUN
ajst-18329	108	25	diagnosis	diagnosis	NOUN
ajst-18329	108	26	.	.	PUNCT
ajst-18329	109	1	figure	figure	NOUN
ajst-18329	109	2	7	7	NUM
ajst-18329	109	3	.	.	PUNCT
ajst-18329	110	1	the	the	DET
ajst-18329	110	2	damage	damage	NOUN
ajst-18329	110	3	size	size	NOUN
ajst-18329	110	4	of	of	ADP
ajst-18329	110	5	the	the	DET
ajst-18329	110	6	inner	inner	ADJ
ajst-18329	110	7	ring	ring	NOUN
ajst-18329	110	8	is	be	AUX
ajst-18329	110	9	0.18	0.18	NUM
ajst-18329	110	10	in	in	ADP
ajst-18329	110	11	this	this	DET
ajst-18329	110	12	experiment	experiment	NOUN
ajst-18329	110	13	,	,	PUNCT
ajst-18329	110	14	the	the	DET
ajst-18329	110	15	characteristic	characteristic	ADJ
ajst-18329	110	16	parameters	parameter	NOUN
ajst-18329	110	17	of	of	ADP
ajst-18329	110	18	vmd	vmd	PROPN
ajst-18329	110	19	decomposition	decomposition	NOUN
ajst-18329	110	20	are	be	AUX
ajst-18329	110	21	as	as	SCONJ
ajst-18329	110	22	follows	follow	VERB
ajst-18329	110	23	:	:	PUNCT
ajst-18329	110	24	penalty	penalty	NOUN
ajst-18329	110	25	factor	factor	NOUN
ajst-18329	110	26	alpha=2000	alpha=2000	PROPN
ajst-18329	110	27	,	,	PUNCT
ajst-18329	110	28	decomposition	decomposition	NOUN
ajst-18329	110	29	mode	mode	NOUN
ajst-18329	110	30	number	number	NOUN
ajst-18329	110	31	k=10	k=10	PROPN
ajst-18329	110	32	,	,	PUNCT
ajst-18329	110	33	and	and	CCONJ
ajst-18329	110	34	initialization	initialization	NOUN
ajst-18329	110	35	center	center	NOUN
ajst-18329	110	36	frequency	frequency	NOUN
ajst-18329	110	37	is	be	AUX
ajst-18329	110	38	uniformly	uniformly	ADV
ajst-18329	110	39	distributed	distribute	VERB
ajst-18329	110	40	,	,	PUNCT
ajst-18329	110	41	i.e.	i.e.	X
ajst-18329	110	42	init=1	init=1	PROPN
ajst-18329	110	43	.	.	PUNCT
ajst-18329	111	1	the	the	DET
ajst-18329	111	2	decomposed	decompose	VERB
ajst-18329	111	3	waveforms	waveform	NOUN
ajst-18329	111	4	of	of	ADP
ajst-18329	111	5	each	each	DET
ajst-18329	111	6	imf	imf	PROPN
ajst-18329	111	7	component	component	NOUN
ajst-18329	111	8	are	be	AUX
ajst-18329	111	9	shown	show	VERB
ajst-18329	111	10	in	in	ADP
ajst-18329	111	11	figure	figure	NOUN
ajst-18329	111	12	8	8	NUM
ajst-18329	111	13	.	.	PUNCT
ajst-18329	112	1	figure	figure	NOUN
ajst-18329	112	2	8	8	NUM
ajst-18329	112	3	.	.	PUNCT
ajst-18329	113	1	waveform	waveform	NOUN
ajst-18329	113	2	of	of	ADP
ajst-18329	113	3	imf	imf	PROPN
ajst-18329	113	4	component	component	NOUN
ajst-18329	113	5	equation	equation	NOUN
ajst-18329	113	6	(	(	PUNCT
ajst-18329	113	7	11	11	NUM
ajst-18329	113	8	)	)	PUNCT
ajst-18329	113	9	was	be	AUX
ajst-18329	113	10	used	use	VERB
ajst-18329	113	11	to	to	PART
ajst-18329	113	12	calculate	calculate	VERB
ajst-18329	113	13	the	the	DET
ajst-18329	113	14	number	number	NOUN
ajst-18329	113	15	of	of	ADP
ajst-18329	113	16	correlations	correlation	NOUN
ajst-18329	113	17	between	between	ADP
ajst-18329	113	18	each	each	DET
ajst-18329	113	19	imf	imf	PROPN
ajst-18329	113	20	component	component	NOUN
ajst-18329	113	21	and	and	CCONJ
ajst-18329	113	22	the	the	DET
ajst-18329	113	23	original	original	ADJ
ajst-18329	113	24	vibration	vibration	NOUN
ajst-18329	113	25	data	datum	NOUN
ajst-18329	113	26	,	,	PUNCT
ajst-18329	113	27	and	and	CCONJ
ajst-18329	113	28	the	the	DET
ajst-18329	113	29	results	result	NOUN
ajst-18329	113	30	are	be	AUX
ajst-18329	113	31	shown	show	VERB
ajst-18329	113	32	in	in	ADP
ajst-18329	113	33	table	table	NOUN
ajst-18329	113	34	1	1	NUM
ajst-18329	113	35	.	.	PUNCT
ajst-18329	114	1	𝑟	𝑟	NOUN
ajst-18329	114	2	∑	∑	PUNCT
ajst-18329	114	3	𝑥𝑖	𝑥𝑖	ADV
ajst-18329	114	4	𝑥𝑖	𝑥𝑖	NUM
ajst-18329	114	5	𝑦	𝑦	NUM
ajst-18329	114	6	𝑦	𝑦	X
ajst-18329	114	7	∑	∑	PUNCT
ajst-18329	114	8	𝑥𝑖	𝑥𝑖	PROPN
ajst-18329	114	9	𝑥𝑖	𝑥𝑖	ADV
ajst-18329	114	10	2	2	NUM
ajst-18329	114	11	∑	∑	PUNCT
ajst-18329	114	12	𝑦	𝑦	NUM
ajst-18329	114	13	𝑦	𝑦	NOUN
ajst-18329	114	14	2	2	NUM
ajst-18329	114	15	11	11	NUM
ajst-18329	114	16	where	where	SCONJ
ajst-18329	114	17	,	,	PUNCT
ajst-18329	114	18	x	x	PRON
ajst-18329	114	19	represents	represent	VERB
ajst-18329	114	20	each	each	DET
ajst-18329	114	21	imf	imf	PROPN
ajst-18329	114	22	component	component	NOUN
ajst-18329	114	23	,	,	PUNCT
ajst-18329	114	24	and	and	CCONJ
ajst-18329	114	25	y	y	PROPN
ajst-18329	114	26	represents	represent	VERB
ajst-18329	114	27	the	the	DET
ajst-18329	114	28	original	original	ADJ
ajst-18329	114	29	vibration	vibration	NOUN
ajst-18329	114	30	signal	signal	NOUN
ajst-18329	114	31	.	.	PUNCT
ajst-18329	115	1	table	table	NOUN
ajst-18329	115	2	1	1	NUM
ajst-18329	115	3	.	.	PUNCT
ajst-18329	115	4	table	table	NOUN
ajst-18329	115	5	of	of	ADP
ajst-18329	115	6	correlation	correlation	NOUN
ajst-18329	115	7	coefficients	coefficient	NOUN
ajst-18329	115	8	of	of	ADP
ajst-18329	115	9	each	each	DET
ajst-18329	115	10	imf	imf	PROPN
ajst-18329	115	11	component	component	NOUN
ajst-18329	115	12	modal	modal	NOUN
ajst-18329	115	13	components	component	NOUN
ajst-18329	115	14	imf1	imf1	PROPN
ajst-18329	115	15	imf2	imf2	VERB
ajst-18329	115	16	imf3	imf3	PROPN
ajst-18329	116	1	imf4	imf4	PROPN
ajst-18329	116	2	imf5	imf5	PROPN
ajst-18329	116	3	r	r	NOUN
ajst-18329	116	4	0.1059	0.1059	NUM
ajst-18329	116	5	0.1059	0.1059	NUM
ajst-18329	116	6	0.1059	0.1059	NUM
ajst-18329	116	7	0.1059	0.1059	NUM
ajst-18329	116	8	0.1059	0.1059	NUM
ajst-18329	116	9	modal	modal	ADJ
ajst-18329	116	10	components	component	NOUN
ajst-18329	116	11	imf6	imf6	PROPN
ajst-18329	116	12	imf7	imf7	PROPN
ajst-18329	116	13	imf8	imf8	PROPN
ajst-18329	116	14	imf9	imf9	VERB
ajst-18329	116	15	imf10	imf10	NOUN
ajst-18329	116	16	r	r	NOUN
ajst-18329	116	17	0.4979	0.4979	NUM
ajst-18329	116	18	0.4979	0.4979	NUM
ajst-18329	116	19	0.4979	0.4979	NUM
ajst-18329	116	20	0.4979	0.4979	NUM
ajst-18329	116	21	0.4979	0.4979	NUM
ajst-18329	116	22	as	as	SCONJ
ajst-18329	116	23	can	can	AUX
ajst-18329	116	24	be	be	AUX
ajst-18329	116	25	seen	see	VERB
ajst-18329	116	26	from	from	ADP
ajst-18329	116	27	table	table	NOUN
ajst-18329	116	28	1	1	NUM
ajst-18329	116	29	,	,	PUNCT
ajst-18329	116	30	there	there	PRON
ajst-18329	116	31	is	be	VERB
ajst-18329	116	32	a	a	DET
ajst-18329	116	33	big	big	ADJ
ajst-18329	116	34	difference	difference	NOUN
ajst-18329	116	35	between	between	ADP
ajst-18329	116	36	the	the	DET
ajst-18329	116	37	correlation	correlation	NOUN
ajst-18329	116	38	number	number	NOUN
ajst-18329	116	39	between	between	ADP
ajst-18329	116	40	the	the	DET
ajst-18329	116	41	original	original	ADJ
ajst-18329	116	42	vibration	vibration	NOUN
ajst-18329	116	43	signal	signal	NOUN
ajst-18329	116	44	and	and	CCONJ
ajst-18329	116	45	each	each	DET
ajst-18329	116	46	imf	imf	PROPN
ajst-18329	116	47	component	component	NOUN
ajst-18329	116	48	.	.	PUNCT
ajst-18329	117	1	among	among	ADP
ajst-18329	117	2	them	they	PRON
ajst-18329	117	3	,	,	PUNCT
ajst-18329	117	4	the	the	DET
ajst-18329	117	5	correlation	correlation	NOUN
ajst-18329	117	6	number	number	NOUN
ajst-18329	117	7	of	of	ADP
ajst-18329	117	8	imf2	imf2	NOUN
ajst-18329	117	9	,	,	PUNCT
ajst-18329	117	10	imf3	imf3	PROPN
ajst-18329	117	11	,	,	PUNCT
ajst-18329	117	12	imf4	imf4	PROPN
ajst-18329	117	13	,	,	PUNCT
ajst-18329	117	14	imf5	imf5	PROPN
ajst-18329	117	15	,	,	PUNCT
ajst-18329	117	16	imf6	imf6	PROPN
ajst-18329	117	17	,	,	PUNCT
ajst-18329	117	18	imf7	imf7	PROPN
ajst-18329	117	19	,	,	PUNCT
ajst-18329	117	20	imf8	imf8	PROPN
ajst-18329	117	21	and	and	CCONJ
ajst-18329	117	22	imf9	imf9	PROPN
ajst-18329	117	23	are	be	AUX
ajst-18329	117	24	all	all	ADV
ajst-18329	117	25	greater	great	ADJ
ajst-18329	117	26	than	than	ADP
ajst-18329	117	27	0.2	0.2	NUM
ajst-18329	117	28	,	,	PUNCT
ajst-18329	117	29	which	which	PRON
ajst-18329	117	30	can	can	AUX
ajst-18329	117	31	be	be	AUX
ajst-18329	117	32	regarded	regard	VERB
ajst-18329	117	33	as	as	ADP
ajst-18329	117	34	the	the	DET
ajst-18329	117	35	dominant	dominant	PROPN
ajst-18329	117	36	imf	imf	PROPN
ajst-18329	117	37	component	component	NOUN
ajst-18329	117	38	.	.	PUNCT
ajst-18329	118	1	the	the	DET
ajst-18329	118	2	coefficients	coefficient	NOUN
ajst-18329	118	3	of	of	ADP
ajst-18329	118	4	imf1	imf1	PROPN
ajst-18329	118	5	and	and	CCONJ
ajst-18329	118	6	imf10	imf10	NOUN
ajst-18329	118	7	are	be	AUX
ajst-18329	118	8	both	both	ADV
ajst-18329	118	9	less	less	ADJ
ajst-18329	118	10	than	than	ADP
ajst-18329	118	11	0.2	0.2	NUM
ajst-18329	118	12	,	,	PUNCT
ajst-18329	118	13	and	and	CCONJ
ajst-18329	118	14	it	it	PRON
ajst-18329	118	15	is	be	AUX
ajst-18329	118	16	preliminarily	preliminarily	ADV
ajst-18329	118	17	concluded	conclude	VERB
ajst-18329	118	18	that	that	SCONJ
ajst-18329	118	19	these	these	DET
ajst-18329	118	20	two	two	NUM
ajst-18329	118	21	imf	imf	PROPN
ajst-18329	118	22	components	component	NOUN
ajst-18329	118	23	contain	contain	VERB
ajst-18329	118	24	more	more	ADJ
ajst-18329	118	25	noise	noise	NOUN
ajst-18329	118	26	signals	signal	NOUN
ajst-18329	118	27	.	.	PUNCT
ajst-18329	119	1	imf1	imf1	PROPN
ajst-18329	119	2	and	and	CCONJ
ajst-18329	119	3	imf10	imf10	NOUN
ajst-18329	119	4	were	be	AUX
ajst-18329	119	5	denoised	denoise	VERB
ajst-18329	119	6	by	by	ADP
ajst-18329	119	7	wavelet	wavelet	NOUN
ajst-18329	119	8	packet	packet	NOUN
ajst-18329	119	9	threshold	threshold	NOUN
ajst-18329	119	10	and	and	CCONJ
ajst-18329	119	11	reconstructed	reconstruct	VERB
ajst-18329	119	12	with	with	ADP
ajst-18329	119	13	other	other	ADJ
ajst-18329	119	14	imf	imf	PROPN
ajst-18329	119	15	components	component	NOUN
ajst-18329	119	16	to	to	PART
ajst-18329	119	17	obtain	obtain	VERB
ajst-18329	119	18	pure	pure	ADJ
ajst-18329	119	19	signals	signal	NOUN
ajst-18329	119	20	.	.	PUNCT
ajst-18329	120	1	figure	figure	NOUN
ajst-18329	120	2	9	9	NUM
ajst-18329	120	3	shows	show	VERB
ajst-18329	120	4	the	the	DET
ajst-18329	120	5	waveform	waveform	NOUN
ajst-18329	120	6	of	of	ADP
ajst-18329	120	7	pure	pure	ADJ
ajst-18329	120	8	vibration	vibration	NOUN
ajst-18329	120	9	signal	signal	NOUN
ajst-18329	120	10	after	after	ADP
ajst-18329	120	11	noise	noise	NOUN
ajst-18329	120	12	reduction	reduction	NOUN
ajst-18329	120	13	.	.	PUNCT
ajst-18329	121	1	83	83	NUM
ajst-18329	121	2	figure	figure	NOUN
ajst-18329	121	3	9	9	NUM
ajst-18329	121	4	.	.	PUNCT
ajst-18329	122	1	waveform	waveform	NOUN
ajst-18329	122	2	of	of	ADP
ajst-18329	122	3	vibration	vibration	NOUN
ajst-18329	122	4	signal	signal	NOUN
ajst-18329	122	5	after	after	ADP
ajst-18329	122	6	noise	noise	NOUN
ajst-18329	122	7	reduction	reduction	NOUN
ajst-18329	122	8	in	in	ADP
ajst-18329	122	9	combination	combination	NOUN
ajst-18329	122	10	with	with	ADP
ajst-18329	122	11	fig	fig	NOUN
ajst-18329	122	12	.	.	PUNCT
ajst-18329	122	13	7	7	NUM
ajst-18329	122	14	and	and	CCONJ
ajst-18329	122	15	fig	fig	NOUN
ajst-18329	122	16	.	.	PUNCT
ajst-18329	123	1	9	9	NUM
ajst-18329	123	2	,	,	PUNCT
ajst-18329	123	3	it	it	PRON
ajst-18329	123	4	can	can	AUX
ajst-18329	123	5	be	be	AUX
ajst-18329	123	6	seen	see	VERB
ajst-18329	123	7	that	that	SCONJ
ajst-18329	123	8	in	in	ADP
ajst-18329	123	9	terms	term	NOUN
ajst-18329	123	10	of	of	ADP
ajst-18329	123	11	signal	signal	NOUN
ajst-18329	123	12	peak	peak	NOUN
ajst-18329	123	13	value	value	NOUN
ajst-18329	123	14	and	and	CCONJ
ajst-18329	123	15	local	local	ADJ
ajst-18329	123	16	waveform	waveform	NOUN
ajst-18329	123	17	characteristics	characteristic	NOUN
ajst-18329	123	18	,	,	PUNCT
ajst-18329	123	19	the	the	DET
ajst-18329	123	20	original	original	ADJ
ajst-18329	123	21	vibration	vibration	NOUN
ajst-18329	123	22	signal	signal	NOUN
ajst-18329	123	23	without	without	ADP
ajst-18329	123	24	noise	noise	NOUN
ajst-18329	123	25	reduction	reduction	NOUN
ajst-18329	123	26	has	have	VERB
ajst-18329	123	27	a	a	DET
ajst-18329	123	28	high	high	ADJ
ajst-18329	123	29	similarity	similarity	NOUN
ajst-18329	123	30	and	and	CCONJ
ajst-18329	123	31	coincidence	coincidence	NOUN
ajst-18329	123	32	degree	degree	NOUN
ajst-18329	123	33	with	with	ADP
ajst-18329	123	34	the	the	DET
ajst-18329	123	35	pure	pure	ADJ
ajst-18329	123	36	signal	signal	NOUN
ajst-18329	123	37	after	after	ADP
ajst-18329	123	38	noise	noise	NOUN
ajst-18329	123	39	reduction	reduction	NOUN
ajst-18329	123	40	.	.	PUNCT
ajst-18329	124	1	in	in	ADP
ajst-18329	124	2	order	order	NOUN
ajst-18329	124	3	to	to	PART
ajst-18329	124	4	further	far	ADV
ajst-18329	124	5	verify	verify	VERB
ajst-18329	124	6	the	the	DET
ajst-18329	124	7	similarity	similarity	NOUN
ajst-18329	124	8	between	between	ADP
ajst-18329	124	9	the	the	DET
ajst-18329	124	10	signal	signal	NOUN
ajst-18329	124	11	and	and	CCONJ
ajst-18329	124	12	the	the	DET
ajst-18329	124	13	original	original	ADJ
ajst-18329	124	14	signal	signal	NOUN
ajst-18329	124	15	after	after	ADP
ajst-18329	124	16	vmd	vmd	PROPN
ajst-18329	124	17	-	-	PROPN
ajst-18329	124	18	wpt	wpt	PROPN
ajst-18329	124	19	combined	combine	VERB
ajst-18329	124	20	noise	noise	NOUN
ajst-18329	124	21	reduction	reduction	NOUN
ajst-18329	124	22	,	,	PUNCT
ajst-18329	124	23	the	the	DET
ajst-18329	124	24	correlation	correlation	NOUN
ajst-18329	124	25	number	number	NOUN
ajst-18329	124	26	of	of	ADP
ajst-18329	124	27	the	the	DET
ajst-18329	124	28	two	two	NUM
ajst-18329	124	29	signals	signal	NOUN
ajst-18329	124	30	of	of	ADP
ajst-18329	124	31	10	10	NUM
ajst-18329	124	32	types	type	NOUN
ajst-18329	124	33	in	in	ADP
ajst-18329	124	34	the	the	DET
ajst-18329	124	35	experiment	experiment	NOUN
ajst-18329	124	36	was	be	AUX
ajst-18329	124	37	calculated	calculate	VERB
ajst-18329	124	38	,	,	PUNCT
ajst-18329	124	39	and	and	CCONJ
ajst-18329	124	40	the	the	DET
ajst-18329	124	41	results	result	NOUN
ajst-18329	124	42	are	be	AUX
ajst-18329	124	43	shown	show	VERB
ajst-18329	124	44	in	in	ADP
ajst-18329	124	45	table	table	NOUN
ajst-18329	124	46	2	2	NUM
ajst-18329	124	47	.	.	PUNCT
ajst-18329	124	48	table	table	NOUN
ajst-18329	124	49	2	2	NUM
ajst-18329	124	50	.	.	PUNCT
ajst-18329	124	51	table	table	NOUN
ajst-18329	124	52	of	of	ADP
ajst-18329	124	53	correlation	correlation	NOUN
ajst-18329	124	54	coefficients	coefficient	NOUN
ajst-18329	124	55	between	between	ADP
ajst-18329	124	56	various	various	ADJ
ajst-18329	124	57	health	health	NOUN
ajst-18329	124	58	states	state	NOUN
ajst-18329	124	59	and	and	CCONJ
ajst-18329	124	60	original	original	ADJ
ajst-18329	124	61	signals	signal	NOUN
ajst-18329	124	62	after	after	ADP
ajst-18329	124	63	noise	noise	NOUN
ajst-18329	124	64	reduction	reduction	NOUN
ajst-18329	124	65	signal	signal	NOUN
ajst-18329	124	66	type	type	NOUN
ajst-18329	124	67	ir0.18	ir0.18	PROPN
ajst-18329	124	68	ir0.18	ir0.18	PROPN
ajst-18329	124	69	ir0.18	ir0.18	PROPN
ajst-18329	124	70	ir0.18	ir0.18	PROPN
ajst-18329	124	71	ir0.18	ir0.18	PROPN
ajst-18329	124	72	r	r	NOUN
ajst-18329	124	73	0.9886	0.9886	NUM
ajst-18329	124	74	0.9886	0.9886	NUM
ajst-18329	124	75	0.9886	0.9886	NUM
ajst-18329	124	76	0.9886	0.9886	NUM
ajst-18329	124	77	0.9886	0.9886	NUM
ajst-18329	124	78	signal	signal	ADJ
ajst-18329	124	79	type	type	NOUN
ajst-18329	124	80	or0.36	or0.36	NOUN
ajst-18329	124	81	or0.36	or0.36	NOUN
ajst-18329	124	82	or0.36	or0.36	NOUN
ajst-18329	124	83	or0.36	or0.36	NOUN
ajst-18329	124	84	or0.36	or0.36	NOUN
ajst-18329	124	85	r	r	NOUN
ajst-18329	124	86	0.9632	0.9632	NUM
ajst-18329	125	1	0.9632	0.9632	NUM
ajst-18329	125	2	0.9632	0.9632	NUM
ajst-18329	125	3	0.9632	0.9632	NUM
ajst-18329	125	4	0.9632	0.9632	NUM
ajst-18329	125	5	it	it	PRON
ajst-18329	125	6	can	can	AUX
ajst-18329	125	7	be	be	AUX
ajst-18329	125	8	seen	see	VERB
ajst-18329	125	9	that	that	SCONJ
ajst-18329	125	10	after	after	ADP
ajst-18329	125	11	vmd	vmd	PROPN
ajst-18329	125	12	-	-	PROPN
ajst-18329	125	13	wpt	wpt	PROPN
ajst-18329	125	14	denoising	denoising	PROPN
ajst-18329	125	15	,	,	PUNCT
ajst-18329	125	16	the	the	DET
ajst-18329	125	17	two	two	NUM
ajst-18329	125	18	signals	signal	NOUN
ajst-18329	125	19	still	still	ADV
ajst-18329	125	20	have	have	VERB
ajst-18329	125	21	a	a	DET
ajst-18329	125	22	high	high	ADJ
ajst-18329	125	23	correlation	correlation	NOUN
ajst-18329	125	24	.	.	PUNCT
ajst-18329	126	1	5.2	5.2	NUM
ajst-18329	126	2	.	.	PUNCT
ajst-18329	126	3	signal	signal	VERB
ajst-18329	126	4	to	to	ADP
ajst-18329	126	5	picture	picture	NOUN
ajst-18329	126	6	conversion	conversion	NOUN
ajst-18329	126	7	the	the	DET
ajst-18329	126	8	vibration	vibration	NOUN
ajst-18329	126	9	signals	signal	NOUN
ajst-18329	126	10	that	that	PRON
ajst-18329	126	11	have	have	AUX
ajst-18329	126	12	been	be	AUX
ajst-18329	126	13	denoised	denoise	VERB
ajst-18329	126	14	jointly	jointly	ADV
ajst-18329	126	15	by	by	ADP
ajst-18329	126	16	vmd	vmd	PROPN
ajst-18329	126	17	-	-	PROPN
ajst-18329	126	18	wpt	wpt	PROPN
ajst-18329	126	19	are	be	AUX
ajst-18329	126	20	converted	convert	VERB
ajst-18329	126	21	into	into	ADP
ajst-18329	126	22	two	two	NUM
ajst-18329	126	23	-	-	PUNCT
ajst-18329	126	24	dimensional	dimensional	ADJ
ajst-18329	126	25	gray	gray	ADJ
ajst-18329	126	26	-	-	PUNCT
ajst-18329	126	27	scale	scale	NOUN
ajst-18329	126	28	graphs	graph	NOUN
ajst-18329	126	29	using	use	VERB
ajst-18329	126	30	the	the	DET
ajst-18329	126	31	method	method	NOUN
ajst-18329	126	32	proposed	propose	VERB
ajst-18329	126	33	in	in	ADP
ajst-18329	126	34	the	the	DET
ajst-18329	126	35	above	above	ADJ
ajst-18329	126	36	section	section	NOUN
ajst-18329	126	37	.	.	PUNCT
ajst-18329	127	1	each	each	DET
ajst-18329	127	2	state	state	NOUN
ajst-18329	127	3	contains	contain	VERB
ajst-18329	127	4	2000	2000	NUM
ajst-18329	127	5	picture	picture	NOUN
ajst-18329	127	6	samples	sample	NOUN
ajst-18329	127	7	with	with	ADP
ajst-18329	127	8	the	the	DET
ajst-18329	127	9	size	size	NOUN
ajst-18329	127	10	of	of	ADP
ajst-18329	127	11	224	224	NUM
ajst-18329	127	12	*	*	NUM
ajst-18329	127	13	224	224	NUM
ajst-18329	127	14	,	,	PUNCT
ajst-18329	127	15	and	and	CCONJ
ajst-18329	127	16	a	a	DET
ajst-18329	127	17	dataset	dataset	NOUN
ajst-18329	127	18	with	with	ADP
ajst-18329	127	19	20,000	20,000	NUM
ajst-18329	127	20	picture	picture	NOUN
ajst-18329	127	21	samples	sample	NOUN
ajst-18329	127	22	is	be	AUX
ajst-18329	127	23	finally	finally	ADV
ajst-18329	127	24	obtained	obtain	VERB
ajst-18329	127	25	.	.	PUNCT
ajst-18329	128	1	all	all	DET
ajst-18329	128	2	kinds	kind	NOUN
ajst-18329	128	3	of	of	ADP
ajst-18329	128	4	gray	gray	ADJ
ajst-18329	128	5	-	-	PUNCT
ajst-18329	128	6	scale	scale	NOUN
ajst-18329	128	7	graphs	graph	NOUN
ajst-18329	128	8	are	be	AUX
ajst-18329	128	9	shown	show	VERB
ajst-18329	128	10	in	in	ADP
ajst-18329	128	11	figure	figure	NOUN
ajst-18329	128	12	10	10	NUM
ajst-18329	128	13	.	.	PUNCT
ajst-18329	129	1	figure	figure	NOUN
ajst-18329	129	2	10	10	NUM
ajst-18329	129	3	.	.	PUNCT
ajst-18329	130	1	gray	gray	ADJ
ajst-18329	130	2	scale	scale	NOUN
ajst-18329	130	3	of	of	ADP
ajst-18329	130	4	health	health	NOUN
ajst-18329	130	5	status	status	NOUN
ajst-18329	130	6	in	in	ADP
ajst-18329	130	7	10	10	NUM
ajst-18329	130	8	5.3	5.3	NUM
ajst-18329	130	9	.	.	PUNCT
ajst-18329	131	1	model	model	NOUN
ajst-18329	131	2	training	training	NOUN
ajst-18329	131	3	and	and	CCONJ
ajst-18329	131	4	diagnosis	diagnosis	VERB
ajst-18329	131	5	the	the	DET
ajst-18329	131	6	data	datum	NOUN
ajst-18329	131	7	set	set	VERB
ajst-18329	131	8	is	be	AUX
ajst-18329	131	9	divided	divide	VERB
ajst-18329	131	10	into	into	ADP
ajst-18329	131	11	the	the	DET
ajst-18329	131	12	training	training	NOUN
ajst-18329	131	13	set	set	NOUN
ajst-18329	131	14	,	,	PUNCT
ajst-18329	131	15	the	the	DET
ajst-18329	131	16	verification	verification	NOUN
ajst-18329	131	17	set	set	NOUN
ajst-18329	131	18	and	and	CCONJ
ajst-18329	131	19	the	the	DET
ajst-18329	131	20	test	test	NOUN
ajst-18329	131	21	set	set	VERB
ajst-18329	131	22	according	accord	VERB
ajst-18329	131	23	to	to	ADP
ajst-18329	131	24	the	the	DET
ajst-18329	131	25	ratio	ratio	NOUN
ajst-18329	131	26	of	of	ADP
ajst-18329	131	27	8:1:1	8:1:1	NUM
ajst-18329	131	28	,	,	PUNCT
ajst-18329	131	29	then	then	ADV
ajst-18329	131	30	the	the	DET
ajst-18329	131	31	training	training	NOUN
ajst-18329	131	32	set	set	NOUN
ajst-18329	131	33	and	and	CCONJ
ajst-18329	131	34	the	the	DET
ajst-18329	131	35	verification	verification	NOUN
ajst-18329	131	36	set	set	NOUN
ajst-18329	131	37	will	will	AUX
ajst-18329	131	38	use	use	VERB
ajst-18329	131	39	18000	18000	NUM
ajst-18329	131	40	pictures	picture	NOUN
ajst-18329	131	41	to	to	PART
ajst-18329	131	42	train	train	VERB
ajst-18329	131	43	the	the	DET
ajst-18329	131	44	model	model	NOUN
ajst-18329	131	45	,	,	PUNCT
ajst-18329	131	46	and	and	CCONJ
ajst-18329	131	47	the	the	DET
ajst-18329	131	48	remaining	remain	VERB
ajst-18329	131	49	2000	2000	NUM
ajst-18329	131	50	pictures	picture	NOUN
ajst-18329	131	51	are	be	AUX
ajst-18329	131	52	the	the	DET
ajst-18329	131	53	test	test	NOUN
ajst-18329	131	54	set	set	VERB
ajst-18329	131	55	to	to	PART
ajst-18329	131	56	test	test	VERB
ajst-18329	131	57	the	the	DET
ajst-18329	131	58	model	model	NOUN
ajst-18329	131	59	performance	performance	NOUN
ajst-18329	131	60	.	.	PUNCT
ajst-18329	132	1	figure	figure	NOUN
ajst-18329	132	2	11	11	NUM
ajst-18329	132	3	shows	show	VERB
ajst-18329	132	4	the	the	DET
ajst-18329	132	5	trend	trend	NOUN
ajst-18329	132	6	of	of	ADP
ajst-18329	132	7	accuracy	accuracy	NOUN
ajst-18329	132	8	over	over	ADP
ajst-18329	132	9	the	the	DET
ajst-18329	132	10	number	number	NOUN
ajst-18329	132	11	of	of	ADP
ajst-18329	132	12	iterations	iteration	NOUN
ajst-18329	132	13	.	.	PUNCT
ajst-18329	133	1	figure	figure	VERB
ajst-18329	133	2	11	11	NUM
ajst-18329	133	3	.	.	PUNCT
ajst-18329	134	1	accuracy	accuracy	NOUN
ajst-18329	134	2	curve	curve	NOUN
ajst-18329	134	3	84	84	NUM
ajst-18329	134	4	it	it	PRON
ajst-18329	134	5	can	can	AUX
ajst-18329	134	6	be	be	AUX
ajst-18329	134	7	seen	see	VERB
ajst-18329	134	8	that	that	SCONJ
ajst-18329	134	9	the	the	DET
ajst-18329	134	10	accuracy	accuracy	NOUN
ajst-18329	134	11	rate	rate	NOUN
ajst-18329	134	12	is	be	AUX
ajst-18329	134	13	basically	basically	ADV
ajst-18329	134	14	stable	stable	ADJ
ajst-18329	134	15	after	after	ADP
ajst-18329	134	16	160	160	NUM
ajst-18329	134	17	iterations	iteration	NOUN
ajst-18329	134	18	,	,	PUNCT
ajst-18329	134	19	and	and	CCONJ
ajst-18329	134	20	the	the	DET
ajst-18329	134	21	accuracy	accuracy	NOUN
ajst-18329	134	22	rate	rate	NOUN
ajst-18329	134	23	is	be	AUX
ajst-18329	134	24	close	close	ADJ
ajst-18329	134	25	to	to	ADP
ajst-18329	134	26	1	1	NUM
ajst-18329	134	27	,	,	PUNCT
ajst-18329	134	28	reaching	reach	VERB
ajst-18329	134	29	99.85	99.85	NUM
ajst-18329	134	30	%	%	NOUN
ajst-18329	134	31	.	.	PUNCT
ajst-18329	135	1	in	in	ADP
ajst-18329	135	2	order	order	NOUN
ajst-18329	135	3	to	to	PART
ajst-18329	135	4	better	well	ADV
ajst-18329	135	5	verify	verify	VERB
ajst-18329	135	6	the	the	DET
ajst-18329	135	7	effectiveness	effectiveness	NOUN
ajst-18329	135	8	of	of	ADP
ajst-18329	135	9	this	this	DET
ajst-18329	135	10	research	research	NOUN
ajst-18329	135	11	method	method	NOUN
ajst-18329	135	12	,	,	PUNCT
ajst-18329	135	13	set	set	VERB
ajst-18329	135	14	empirical	empirical	ADJ
ajst-18329	135	15	mode	mode	NOUN
ajst-18329	135	16	factory	factory	NOUN
ajst-18329	135	17	-	-	PUNCT
ajst-18329	135	18	wavelet	wavelet	NOUN
ajst-18329	135	19	packet	packet	NOUN
ajst-18329	135	20	threshold	threshold	NOUN
ajst-18329	135	21	denoising	denoising	NOUN
ajst-18329	135	22	(	(	PUNCT
ajst-18329	135	23	eemd	eemd	PROPN
ajst-18329	135	24	-	-	PROPN
ajst-18329	135	25	wpt	wpt	PROPN
ajst-18329	135	26	)	)	PUNCT
ajst-18329	135	27	is	be	AUX
ajst-18329	135	28	used	use	VERB
ajst-18329	135	29	to	to	PART
ajst-18329	135	30	pre	pre	VERB
ajst-18329	135	31	-	-	NOUN
ajst-18329	135	32	process	process	ADJ
ajst-18329	135	33	fault	fault	NOUN
ajst-18329	135	34	data	datum	NOUN
ajst-18329	135	35	and	and	CCONJ
ajst-18329	135	36	input	input	NOUN
ajst-18329	135	37	these	these	DET
ajst-18329	135	38	data	datum	NOUN
ajst-18329	135	39	into	into	ADP
ajst-18329	135	40	vision	vision	NOUN
ajst-18329	135	41	-	-	PUNCT
ajst-18329	135	42	transformer	transformer	NOUN
ajst-18329	135	43	model	model	NOUN
ajst-18329	135	44	for	for	ADP
ajst-18329	135	45	comparative	comparative	ADJ
ajst-18329	135	46	experiments	experiment	NOUN
ajst-18329	135	47	.	.	PUNCT
ajst-18329	136	1	in	in	ADP
ajst-18329	136	2	addition	addition	NOUN
ajst-18329	136	3	,	,	PUNCT
ajst-18329	136	4	the	the	DET
ajst-18329	136	5	data	datum	NOUN
ajst-18329	136	6	processed	process	VERB
ajst-18329	136	7	by	by	ADP
ajst-18329	136	8	vmd	vmd	PROPN
ajst-18329	136	9	-	-	PROPN
ajst-18329	136	10	wpt	wpt	PROPN
ajst-18329	136	11	is	be	AUX
ajst-18329	136	12	also	also	ADV
ajst-18329	136	13	input	input	VERB
ajst-18329	136	14	into	into	ADP
ajst-18329	136	15	resnet	resnet	ADJ
ajst-18329	136	16	network	network	NOUN
ajst-18329	136	17	to	to	PART
ajst-18329	136	18	further	far	ADV
ajst-18329	136	19	verify	verify	VERB
ajst-18329	136	20	the	the	DET
ajst-18329	136	21	effectiveness	effectiveness	NOUN
ajst-18329	136	22	of	of	ADP
ajst-18329	136	23	the	the	DET
ajst-18329	136	24	proposed	propose	VERB
ajst-18329	136	25	method	method	NOUN
ajst-18329	136	26	.	.	PUNCT
ajst-18329	137	1	fig	fig	NOUN
ajst-18329	137	2	.	.	PUNCT
ajst-18329	138	1	12	12	NUM
ajst-18329	138	2	to	to	ADP
ajst-18329	138	3	fig	fig	NOUN
ajst-18329	138	4	.	.	PUNCT
ajst-18329	139	1	14	14	NUM
ajst-18329	139	2	show	show	VERB
ajst-18329	139	3	the	the	DET
ajst-18329	139	4	confusion	confusion	NOUN
ajst-18329	139	5	matrix	matrix	NOUN
ajst-18329	139	6	obtained	obtain	VERB
ajst-18329	139	7	by	by	ADP
ajst-18329	139	8	various	various	ADJ
ajst-18329	139	9	methods	method	NOUN
ajst-18329	139	10	.	.	PUNCT
ajst-18329	140	1	figure	figure	NOUN
ajst-18329	140	2	12	12	NUM
ajst-18329	140	3	.	.	PUNCT
ajst-18329	141	1	vmd	vmd	PROPN
ajst-18329	141	2	-	-	PROPN
ajst-18329	141	3	wpt	wpt	PROPN
ajst-18329	141	4	-	-	ADJ
ajst-18329	141	5	vit	vit	PROPN
ajst-18329	141	6	combination	combination	NOUN
ajst-18329	141	7	figure	figure	NOUN
ajst-18329	141	8	13	13	NUM
ajst-18329	141	9	.	.	PUNCT
ajst-18329	142	1	eemd	eemd	PROPN
ajst-18329	142	2	-	-	PROPN
ajst-18329	142	3	wpt	wpt	PROPN
ajst-18329	142	4	-	-	ADJ
ajst-18329	142	5	vit	vit	PROPN
ajst-18329	142	6	combination	combination	NOUN
ajst-18329	142	7	figure	figure	NOUN
ajst-18329	142	8	14	14	NUM
ajst-18329	142	9	.	.	PUNCT
ajst-18329	143	1	vmd	vmd	PROPN
ajst-18329	143	2	-	-	PROPN
ajst-18329	143	3	wpt	wpt	PROPN
ajst-18329	143	4	-	-	PUNCT
ajst-18329	143	5	resnet	resnet	NOUN
ajst-18329	143	6	combination	combination	NOUN
ajst-18329	143	7	as	as	SCONJ
ajst-18329	143	8	can	can	AUX
ajst-18329	143	9	be	be	AUX
ajst-18329	143	10	seen	see	VERB
ajst-18329	143	11	from	from	ADP
ajst-18329	143	12	figure	figure	NOUN
ajst-18329	143	13	12	12	NUM
ajst-18329	143	14	,	,	PUNCT
ajst-18329	143	15	there	there	PRON
ajst-18329	143	16	are	be	VERB
ajst-18329	143	17	only	only	ADV
ajst-18329	143	18	3	3	NUM
ajst-18329	143	19	diagnostic	diagnostic	ADJ
ajst-18329	143	20	errors	error	NOUN
ajst-18329	143	21	in	in	ADP
ajst-18329	143	22	vmd	vmd	PROPN
ajst-18329	143	23	-	-	PROPN
ajst-18329	143	24	wpt	wpt	PROPN
ajst-18329	143	25	-	-	PROPN
ajst-18329	143	26	vit	vit	PROPN
ajst-18329	143	27	model	model	NOUN
ajst-18329	143	28	,	,	PUNCT
ajst-18329	143	29	while	while	SCONJ
ajst-18329	143	30	the	the	DET
ajst-18329	143	31	rest	rest	NOUN
ajst-18329	143	32	are	be	AUX
ajst-18329	143	33	diagnosed	diagnose	VERB
ajst-18329	143	34	85	85	NUM
ajst-18329	143	35	correctly	correctly	ADV
ajst-18329	143	36	,	,	PUNCT
ajst-18329	143	37	and	and	CCONJ
ajst-18329	143	38	the	the	DET
ajst-18329	143	39	diagnostic	diagnostic	ADJ
ajst-18329	143	40	accuracy	accuracy	NOUN
ajst-18329	143	41	rate	rate	NOUN
ajst-18329	143	42	reaches	reach	VERB
ajst-18329	143	43	99.85	99.85	NUM
ajst-18329	143	44	%	%	NOUN
ajst-18329	143	45	.	.	PUNCT
ajst-18329	144	1	there	there	PRON
ajst-18329	144	2	are	be	VERB
ajst-18329	144	3	75	75	NUM
ajst-18329	144	4	diagnostic	diagnostic	ADJ
ajst-18329	144	5	errors	error	NOUN
ajst-18329	144	6	in	in	ADP
ajst-18329	144	7	the	the	DET
ajst-18329	144	8	eemd	eemd	PROPN
ajst-18329	144	9	-	-	PROPN
ajst-18329	144	10	wpt	wpt	PROPN
ajst-18329	144	11	-	-	PROPN
ajst-18329	144	12	vit	vit	PROPN
ajst-18329	144	13	model	model	NOUN
ajst-18329	144	14	,	,	PUNCT
ajst-18329	144	15	and	and	CCONJ
ajst-18329	144	16	the	the	DET
ajst-18329	144	17	diagnostic	diagnostic	ADJ
ajst-18329	144	18	accuracy	accuracy	NOUN
ajst-18329	144	19	is	be	AUX
ajst-18329	144	20	96	96	NUM
ajst-18329	144	21	%	%	NOUN
ajst-18329	144	22	.	.	PUNCT
ajst-18329	145	1	it	it	PRON
ajst-18329	145	2	can	can	AUX
ajst-18329	145	3	be	be	AUX
ajst-18329	145	4	seen	see	VERB
ajst-18329	145	5	that	that	SCONJ
ajst-18329	145	6	using	use	VERB
ajst-18329	145	7	vmd	vmd	NOUN
ajst-18329	145	8	decomposition	decomposition	NOUN
ajst-18329	145	9	for	for	ADP
ajst-18329	145	10	noise	noise	NOUN
ajst-18329	145	11	reduction	reduction	NOUN
ajst-18329	145	12	can	can	AUX
ajst-18329	145	13	better	well	ADV
ajst-18329	145	14	remove	remove	VERB
ajst-18329	145	15	noise	noise	NOUN
ajst-18329	145	16	.	.	PUNCT
ajst-18329	146	1	although	although	SCONJ
ajst-18329	146	2	the	the	DET
ajst-18329	146	3	diagnostic	diagnostic	ADJ
ajst-18329	146	4	accuracy	accuracy	NOUN
ajst-18329	146	5	of	of	ADP
ajst-18329	146	6	vmd	vmd	PROPN
ajst-18329	146	7	-	-	ADJ
ajst-18329	146	8	wptresnet	wptresnet	NOUN
ajst-18329	146	9	model	model	NOUN
ajst-18329	146	10	reaches	reach	VERB
ajst-18329	146	11	98.05	98.05	NUM
ajst-18329	146	12	%	%	NOUN
ajst-18329	146	13	,	,	PUNCT
ajst-18329	146	14	it	it	PRON
ajst-18329	146	15	is	be	AUX
ajst-18329	146	16	still	still	ADV
ajst-18329	146	17	1.7	1.7	NUM
ajst-18329	146	18	%	%	NOUN
ajst-18329	146	19	lower	low	ADJ
ajst-18329	146	20	than	than	ADP
ajst-18329	146	21	that	that	PRON
ajst-18329	146	22	of	of	ADP
ajst-18329	146	23	the	the	DET
ajst-18329	146	24	model	model	NOUN
ajst-18329	146	25	proposed	propose	VERB
ajst-18329	146	26	in	in	ADP
ajst-18329	146	27	this	this	DET
ajst-18329	146	28	paper	paper	NOUN
ajst-18329	146	29	.	.	PUNCT
ajst-18329	147	1	it	it	PRON
ajst-18329	147	2	is	be	AUX
ajst-18329	147	3	obvious	obvious	ADJ
ajst-18329	147	4	that	that	SCONJ
ajst-18329	147	5	visiontransformer	visiontransformer	NOUN
ajst-18329	147	6	model	model	NOUN
ajst-18329	147	7	can	can	AUX
ajst-18329	147	8	achieve	achieve	VERB
ajst-18329	147	9	better	well	ADJ
ajst-18329	147	10	fault	fault	NOUN
ajst-18329	147	11	diagnosis	diagnosis	NOUN
ajst-18329	147	12	results	result	NOUN
ajst-18329	147	13	than	than	ADP
ajst-18329	147	14	resnet	resnet	NOUN
ajst-18329	147	15	network	network	NOUN
ajst-18329	147	16	.	.	PUNCT
ajst-18329	148	1	finally	finally	ADV
ajst-18329	148	2	,	,	PUNCT
ajst-18329	148	3	accuracy	accuracy	NOUN
ajst-18329	148	4	,	,	PUNCT
ajst-18329	148	5	precision	precision	NOUN
ajst-18329	148	6	,	,	PUNCT
ajst-18329	148	7	recall	recall	NOUN
ajst-18329	148	8	and	and	CCONJ
ajst-18329	148	9	specificity	specificity	NOUN
ajst-18329	148	10	were	be	AUX
ajst-18329	148	11	selected	select	VERB
ajst-18329	148	12	to	to	PART
ajst-18329	148	13	measure	measure	VERB
ajst-18329	148	14	the	the	DET
ajst-18329	148	15	performance	performance	NOUN
ajst-18329	148	16	of	of	ADP
ajst-18329	148	17	each	each	DET
ajst-18329	148	18	specificity	specificity	NOUN
ajst-18329	148	19	,	,	PUNCT
ajst-18329	148	20	as	as	SCONJ
ajst-18329	148	21	shown	show	VERB
ajst-18329	148	22	in	in	ADP
ajst-18329	148	23	table	table	NOUN
ajst-18329	148	24	3	3	NUM
ajst-18329	148	25	.	.	PUNCT
ajst-18329	149	1	the	the	DET
ajst-18329	149	2	accuracy	accuracy	NOUN
ajst-18329	149	3	,	,	PUNCT
ajst-18329	149	4	accuracy	accuracy	NOUN
ajst-18329	149	5	,	,	PUNCT
ajst-18329	149	6	recall	recall	NOUN
ajst-18329	149	7	and	and	CCONJ
ajst-18329	149	8	specificity	specificity	NOUN
ajst-18329	149	9	of	of	ADP
ajst-18329	149	10	vmd	vmd	PROPN
ajst-18329	149	11	-	-	PROPN
ajst-18329	149	12	wpt	wpt	PROPN
ajst-18329	149	13	-	-	ADJ
ajst-18329	149	14	vit	vit	PROPN
ajst-18329	149	15	model	model	NOUN
ajst-18329	149	16	are	be	AUX
ajst-18329	149	17	higher	high	ADJ
ajst-18329	149	18	than	than	ADP
ajst-18329	149	19	other	other	ADJ
ajst-18329	149	20	models	model	NOUN
ajst-18329	149	21	,	,	PUNCT
ajst-18329	149	22	which	which	PRON
ajst-18329	149	23	shows	show	VERB
ajst-18329	149	24	that	that	SCONJ
ajst-18329	149	25	the	the	DET
ajst-18329	149	26	model	model	NOUN
ajst-18329	149	27	algorithm	algorithm	NOUN
ajst-18329	149	28	has	have	VERB
ajst-18329	149	29	small	small	ADJ
ajst-18329	149	30	error	error	NOUN
ajst-18329	149	31	and	and	CCONJ
ajst-18329	149	32	high	high	ADJ
ajst-18329	149	33	precision	precision	NOUN
ajst-18329	149	34	,	,	PUNCT
ajst-18329	149	35	and	and	CCONJ
ajst-18329	149	36	it	it	PRON
ajst-18329	149	37	is	be	AUX
ajst-18329	149	38	feasible	feasible	ADJ
ajst-18329	149	39	and	and	CCONJ
ajst-18329	149	40	effective	effective	ADJ
ajst-18329	149	41	to	to	PART
ajst-18329	149	42	apply	apply	VERB
ajst-18329	149	43	it	it	PRON
ajst-18329	149	44	to	to	ADP
ajst-18329	149	45	the	the	DET
ajst-18329	149	46	fault	fault	NOUN
ajst-18329	149	47	diagnosis	diagnosis	NOUN
ajst-18329	149	48	of	of	ADP
ajst-18329	149	49	rolling	rolling	ADJ
ajst-18329	149	50	bearings	bearing	NOUN
ajst-18329	149	51	.	.	PUNCT
ajst-18329	150	1	table	table	NOUN
ajst-18329	150	2	3	3	NUM
ajst-18329	150	3	.	.	PUNCT
ajst-18329	151	1	diagnostic	diagnostic	ADJ
ajst-18329	151	2	results	result	NOUN
ajst-18329	151	3	of	of	ADP
ajst-18329	151	4	each	each	DET
ajst-18329	151	5	model	model	NOUN
ajst-18329	151	6	diagnostic	diagnostic	ADJ
ajst-18329	151	7	method	method	NOUN
ajst-18329	151	8	accuracyt/%	accuracyt/%	X
ajst-18329	151	9	precision/%	precision/%	X
ajst-18329	151	10	recall/%	recall/%	ADV
ajst-18329	151	11	specificity/%	specificity/%	PROPN
ajst-18329	151	12	vmd	vmd	PROPN
ajst-18329	151	13	-	-	PROPN
ajst-18329	151	14	wpt	wpt	PROPN
ajst-18329	151	15	-	-	PROPN
ajst-18329	151	16	vit	vit	NOUN
ajst-18329	151	17	99.85	99.85	NUM
ajst-18329	151	18	99.85	99.85	NUM
ajst-18329	151	19	99.85	99.85	NUM
ajst-18329	151	20	99.98	99.98	NUM
ajst-18329	151	21	eemd	eemd	PROPN
ajst-18329	151	22	-	-	PROPN
ajst-18329	151	23	wpt	wpt	NOUN
ajst-18329	151	24	-	-	PROPN
ajst-18329	151	25	vit	vit	NOUN
ajst-18329	151	26	96	96	NUM
ajst-18329	151	27	96.77	96.77	NUM
ajst-18329	151	28	96	96	NUM
ajst-18329	151	29	99.55	99.55	NUM
ajst-18329	151	30	vmd	vmd	PROPN
ajst-18329	151	31	-	-	PROPN
ajst-18329	151	32	wpt	wpt	PROPN
ajst-18329	151	33	-	-	PUNCT
ajst-18329	151	34	rexnet	rexnet	NOUN
ajst-18329	151	35	98.05	98.05	NUM
ajst-18329	151	36	98.35	98.35	NUM
ajst-18329	151	37	98.05	98.05	NUM
ajst-18329	151	38	99.78	99.78	NUM
ajst-18329	151	39	6	6	NUM
ajst-18329	151	40	.	.	PUNCT
ajst-18329	152	1	conclusion	conclusion	NOUN
ajst-18329	152	2	in	in	ADP
ajst-18329	152	3	order	order	NOUN
ajst-18329	152	4	to	to	PART
ajst-18329	152	5	improve	improve	VERB
ajst-18329	152	6	the	the	DET
ajst-18329	152	7	accuracy	accuracy	NOUN
ajst-18329	152	8	of	of	ADP
ajst-18329	152	9	rolling	rolling	ADJ
ajst-18329	152	10	bearing	bear	VERB
ajst-18329	152	11	fault	fault	NOUN
ajst-18329	152	12	diagnosis	diagnosis	NOUN
ajst-18329	152	13	,	,	PUNCT
ajst-18329	152	14	a	a	DET
ajst-18329	152	15	rolling	rolling	ADJ
ajst-18329	152	16	bearing	bear	VERB
ajst-18329	152	17	fault	fault	NOUN
ajst-18329	152	18	diagnosis	diagnosis	NOUN
ajst-18329	152	19	method	method	NOUN
ajst-18329	152	20	based	base	VERB
ajst-18329	152	21	on	on	ADP
ajst-18329	152	22	vmd	vmd	PROPN
ajst-18329	152	23	-	-	PROPN
ajst-18329	152	24	wpt	wpt	PROPN
ajst-18329	152	25	-	-	ADJ
ajst-18329	152	26	vit	vit	PROPN
ajst-18329	152	27	model	model	NOUN
ajst-18329	152	28	is	be	AUX
ajst-18329	152	29	proposed	propose	VERB
ajst-18329	152	30	in	in	ADP
ajst-18329	152	31	this	this	DET
ajst-18329	152	32	paper	paper	NOUN
ajst-18329	152	33	.	.	PUNCT
ajst-18329	153	1	variational	variational	ADJ
ajst-18329	153	2	mode	mode	NOUN
ajst-18329	153	3	decomposition	decomposition	NOUN
ajst-18329	153	4	and	and	CCONJ
ajst-18329	153	5	wavelet	wavelet	NOUN
ajst-18329	153	6	packet	packet	NOUN
ajst-18329	153	7	threshold	threshold	NOUN
ajst-18329	153	8	denoising	denoising	NOUN
ajst-18329	153	9	algorithm	algorithm	NOUN
ajst-18329	153	10	are	be	AUX
ajst-18329	153	11	used	use	VERB
ajst-18329	153	12	to	to	PART
ajst-18329	153	13	decompose	decompose	VERB
ajst-18329	153	14	the	the	DET
ajst-18329	153	15	original	original	ADJ
ajst-18329	153	16	vibration	vibration	NOUN
ajst-18329	153	17	data	datum	NOUN
ajst-18329	153	18	and	and	CCONJ
ajst-18329	153	19	reduce	reduce	VERB
ajst-18329	153	20	the	the	DET
ajst-18329	153	21	noise	noise	NOUN
ajst-18329	153	22	.	.	PUNCT
ajst-18329	154	1	the	the	DET
ajst-18329	154	2	noise	noise	NOUN
ajst-18329	154	3	reduction	reduction	NOUN
ajst-18329	154	4	method	method	NOUN
ajst-18329	154	5	not	not	PART
ajst-18329	154	6	only	only	ADV
ajst-18329	154	7	eliminates	eliminate	VERB
ajst-18329	154	8	noise	noise	NOUN
ajst-18329	154	9	,	,	PUNCT
ajst-18329	154	10	but	but	CCONJ
ajst-18329	154	11	also	also	ADV
ajst-18329	154	12	effectively	effectively	ADV
ajst-18329	154	13	retains	retain	VERB
ajst-18329	154	14	the	the	DET
ajst-18329	154	15	characteristic	characteristic	ADJ
ajst-18329	154	16	information	information	NOUN
ajst-18329	154	17	in	in	ADP
ajst-18329	154	18	the	the	DET
ajst-18329	154	19	original	original	ADJ
ajst-18329	154	20	vibration	vibration	NOUN
ajst-18329	154	21	signal	signal	NOUN
ajst-18329	154	22	.	.	PUNCT
ajst-18329	155	1	and	and	CCONJ
ajst-18329	155	2	to	to	ADP
ajst-18329	155	3	a	a	DET
ajst-18329	155	4	large	large	ADJ
ajst-18329	155	5	extent	extent	NOUN
ajst-18329	155	6	help	help	NOUN
ajst-18329	155	7	improve	improve	VERB
ajst-18329	155	8	the	the	DET
ajst-18329	155	9	accuracy	accuracy	NOUN
ajst-18329	155	10	of	of	ADP
ajst-18329	155	11	subsequent	subsequent	ADJ
ajst-18329	155	12	fault	fault	NOUN
ajst-18329	155	13	diagnosis	diagnosis	NOUN
ajst-18329	155	14	;	;	PUNCT
ajst-18329	155	15	the	the	DET
ajst-18329	155	16	one	one	NUM
ajst-18329	155	17	-	-	PUNCT
ajst-18329	155	18	dimensional	dimensional	ADJ
ajst-18329	155	19	time	time	NOUN
ajst-18329	155	20	series	series	NOUN
ajst-18329	155	21	data	datum	NOUN
ajst-18329	155	22	is	be	AUX
ajst-18329	155	23	converted	convert	VERB
ajst-18329	155	24	into	into	ADP
ajst-18329	155	25	two	two	NUM
ajst-18329	155	26	-	-	PUNCT
ajst-18329	155	27	dimensional	dimensional	ADJ
ajst-18329	155	28	grayscale	grayscale	NOUN
ajst-18329	155	29	images	image	NOUN
ajst-18329	155	30	,	,	PUNCT
ajst-18329	155	31	and	and	CCONJ
ajst-18329	155	32	a	a	DET
ajst-18329	155	33	vittransformer	vittransformer	ADJ
ajst-18329	155	34	network	network	NOUN
ajst-18329	155	35	is	be	AUX
ajst-18329	155	36	built	build	VERB
ajst-18329	155	37	to	to	PART
ajst-18329	155	38	independently	independently	ADV
ajst-18329	155	39	extract	extract	VERB
ajst-18329	155	40	important	important	ADJ
ajst-18329	155	41	features	feature	NOUN
ajst-18329	155	42	in	in	ADP
ajst-18329	155	43	two	two	NUM
ajst-18329	155	44	-	-	PUNCT
ajst-18329	155	45	dimensional	dimensional	ADJ
ajst-18329	155	46	images	image	NOUN
ajst-18329	155	47	using	use	VERB
ajst-18329	155	48	the	the	DET
ajst-18329	155	49	selfattention	selfattention	NOUN
ajst-18329	155	50	mechanism	mechanism	NOUN
ajst-18329	155	51	,	,	PUNCT
ajst-18329	155	52	which	which	PRON
ajst-18329	155	53	further	far	ADV
ajst-18329	155	54	improves	improve	VERB
ajst-18329	155	55	the	the	DET
ajst-18329	155	56	model	model	NOUN
ajst-18329	155	57	diagnosis	diagnosis	NOUN
ajst-18329	155	58	accuracy	accuracy	NOUN
ajst-18329	155	59	.	.	PUNCT
ajst-18329	156	1	through	through	ADP
ajst-18329	156	2	comparative	comparative	ADJ
ajst-18329	156	3	experiments	experiment	NOUN
ajst-18329	156	4	,	,	PUNCT
ajst-18329	156	5	the	the	DET
ajst-18329	156	6	diagnostic	diagnostic	ADJ
ajst-18329	156	7	accuracy	accuracy	NOUN
ajst-18329	156	8	and	and	CCONJ
ajst-18329	156	9	performance	performance	NOUN
ajst-18329	156	10	of	of	ADP
ajst-18329	156	11	vmd	vmd	PROPN
ajst-18329	156	12	-	-	PROPN
ajst-18329	156	13	wpt	wpt	PROPN
ajst-18329	156	14	-	-	ADJ
ajst-18329	156	15	vit	vit	PROPN
ajst-18329	156	16	model	model	NOUN
ajst-18329	156	17	are	be	AUX
ajst-18329	156	18	more	more	ADV
ajst-18329	156	19	verified	verified	ADJ
ajst-18329	156	20	,	,	PUNCT
ajst-18329	156	21	and	and	CCONJ
ajst-18329	156	22	the	the	DET
ajst-18329	156	23	effectiveness	effectiveness	NOUN
ajst-18329	156	24	and	and	CCONJ
ajst-18329	156	25	feasibility	feasibility	NOUN
ajst-18329	156	26	of	of	ADP
ajst-18329	156	27	the	the	DET
ajst-18329	156	28	proposed	propose	VERB
ajst-18329	156	29	method	method	NOUN
ajst-18329	156	30	in	in	ADP
ajst-18329	156	31	fault	fault	NOUN
ajst-18329	156	32	diagnosis	diagnosis	NOUN
ajst-18329	156	33	are	be	AUX
ajst-18329	156	34	proved	prove	VERB
ajst-18329	156	35	.	.	PUNCT
ajst-18329	157	1	references	reference	NOUN
ajst-18329	157	2	[	[	X
ajst-18329	157	3	1	1	NUM
ajst-18329	157	4	]	]	X
ajst-18329	157	5	zang	zang	PROPN
ajst-18329	157	6	xiaosong	xiaosong	PROPN
ajst-18329	157	7	.	.	PUNCT
ajst-18329	158	1	the	the	DET
ajst-18329	158	2	installed	instal	VERB
ajst-18329	158	3	capacity	capacity	NOUN
ajst-18329	158	4	of	of	ADP
ajst-18329	158	5	wind	wind	NOUN
ajst-18329	158	6	power	power	NOUN
ajst-18329	158	7	industry	industry	NOUN
ajst-18329	158	8	may	may	AUX
ajst-18329	158	9	usher	usher	VERB
ajst-18329	158	10	in	in	ADP
ajst-18329	158	11	explosive	explosive	ADJ
ajst-18329	158	12	growth	growth	NOUN
ajst-18329	158	13	in	in	ADP
ajst-18329	158	14	2023	2023	NUM
ajst-18329	158	15	[	[	X
ajst-18329	158	16	n	n	X
ajst-18329	158	17	]	]	PUNCT
ajst-18329	158	18	.	.	PUNCT
ajst-18329	159	1	securities	security	NOUN
ajst-18329	159	2	times,2023	times,2023	PROPN
ajst-18329	159	3	-	-	PUNCT
ajst-18329	159	4	01	01	NUM
ajst-18329	159	5	-	-	PUNCT
ajst-18329	159	6	03(a06	03(a06	NUM
ajst-18329	159	7	)	)	PUNCT
ajst-18329	159	8	.	.	PUNCT
ajst-18329	160	1	[	[	X
ajst-18329	160	2	2	2	X
ajst-18329	160	3	]	]	PUNCT
ajst-18329	160	4	wind	wind	NOUN
ajst-18329	160	5	energy	energy	NOUN
ajst-18329	160	6	professional	professional	PROPN
ajst-18329	160	7	committee	committee	PROPN
ajst-18329	160	8	of	of	ADP
ajst-18329	160	9	china	china	PROPN
ajst-18329	160	10	renewable	renewable	ADJ
ajst-18329	160	11	energy	energy	NOUN
ajst-18329	160	12	society	society	NOUN
ajst-18329	160	13	.	.	PUNCT
ajst-18329	161	1	statistical	statistical	ADJ
ajst-18329	161	2	briefing	briefing	NOUN
ajst-18329	161	3	on	on	ADP
ajst-18329	161	4	china	china	PROPN
ajst-18329	161	5	's	's	PART
ajst-18329	161	6	wind	wind	NOUN
ajst-18329	161	7	power	power	NOUN
ajst-18329	161	8	hoisting	hoisting	NOUN
ajst-18329	161	9	capacity	capacity	NOUN
ajst-18329	161	10	in	in	ADP
ajst-18329	161	11	2021	2021	NUM
ajst-18329	161	12	[	[	X
ajst-18329	161	13	j	j	X
ajst-18329	161	14	]	]	X
ajst-18329	161	15	.	.	PUNCT
ajst-18329	162	1	wind	wind	NOUN
ajst-18329	162	2	energy,2022(05):38	energy,2022(05):38	PROPN
ajst-18329	162	3	-	-	PUNCT
ajst-18329	162	4	52	52	NUM
ajst-18329	162	5	.	.	PUNCT
ajst-18329	163	1	[	[	X
ajst-18329	163	2	3	3	X
ajst-18329	163	3	]	]	X
ajst-18329	163	4	liu	liu	PROPN
ajst-18329	163	5	y	y	PROPN
ajst-18329	163	6	,	,	PUNCT
ajst-18329	163	7	li	li	PROPN
ajst-18329	163	8	j	j	PROPN
ajst-18329	163	9	,	,	PUNCT
ajst-18329	163	10	li	li	PROPN
ajst-18329	163	11	q	q	PROPN
ajst-18329	163	12	,	,	PUNCT
ajst-18329	163	13	et	et	PROPN
ajst-18329	163	14	al	al	PROPN
ajst-18329	163	15	.	.	PUNCT
ajst-18329	163	16	transfer	transfer	NOUN
ajst-18329	163	17	learning	learn	VERB
ajst-18329	163	18	with	with	ADP
ajst-18329	163	19	inception	inception	ADJ
ajst-18329	163	20	resnet	resnet	NOUN
ajst-18329	163	21	-	-	PUNCT
ajst-18329	163	22	based	base	VERB
ajst-18329	163	23	model	model	NOUN
ajst-18329	163	24	for	for	ADP
ajst-18329	163	25	rolling	roll	VERB
ajst-18329	163	26	bearing	bearing	NOUN
ajst-18329	163	27	fault	fault	NOUN
ajst-18329	163	28	diagnosis[j	diagnosis[j	NOUN
ajst-18329	163	29	]	]	PUNCT
ajst-18329	163	30	.	.	PUNCT
ajst-18329	164	1	journal	journal	PROPN
ajst-18329	164	2	of	of	ADP
ajst-18329	164	3	advanced	advanced	ADJ
ajst-18329	164	4	mechanical	mechanical	ADJ
ajst-18329	164	5	design	design	NOUN
ajst-18329	164	6	,	,	PUNCT
ajst-18329	164	7	systems	system	NOUN
ajst-18329	164	8	,	,	PUNCT
ajst-18329	164	9	and	and	CCONJ
ajst-18329	164	10	manufacturing,2022	manufacturing,2022	NOUN
ajst-18329	164	11	,	,	PUNCT
ajst-18329	164	12	16(2	16(2	NUM
ajst-18329	164	13	):	):	PUNCT
ajst-18329	164	14	1	1	NUM
ajst-18329	164	15	-	-	SYM
ajst-18329	164	16	19	19	NUM
ajst-18329	164	17	.	.	PUNCT
ajst-18329	165	1	[	[	X
ajst-18329	165	2	4	4	X
ajst-18329	165	3	]	]	X
ajst-18329	165	4	chen	chen	PROPN
ajst-18329	165	5	yuhang	yuhang	PROPN
ajst-18329	165	6	,	,	PUNCT
ajst-18329	165	7	li	li	PROPN
ajst-18329	165	8	zhengping	zhengping	PROPN
ajst-18329	165	9	,	,	PUNCT
ajst-18329	165	10	xiao	xiao	PROPN
ajst-18329	165	11	lei	lei	PROPN
ajst-18329	165	12	.	.	PUNCT
ajst-18329	165	13	fault	fault	VERB
ajst-18329	165	14	diagnosis	diagnosis	NOUN
ajst-18329	165	15	of	of	ADP
ajst-18329	165	16	roller	roller	NOUN
ajst-18329	165	17	bearing	bearing	NOUN
ajst-18329	165	18	in	in	ADP
ajst-18329	165	19	spinning	spinning	NOUN
ajst-18329	165	20	frame	frame	NOUN
ajst-18329	165	21	based	base	VERB
ajst-18329	165	22	on	on	ADP
ajst-18329	165	23	fft-1d	fft-1d	PROPN
ajst-18329	165	24	-	-	PUNCT
ajst-18329	165	25	cnn	cnn	PROPN
ajst-18329	166	1	[	[	X
ajst-18329	166	2	j	j	X
ajst-18329	166	3	]	]	X
ajst-18329	166	4	.	.	PUNCT
ajst-18329	167	1	cotton	cotton	NOUN
ajst-18329	167	2	textile	textile	NOUN
ajst-18329	167	3	technology,2023,51(01):16	technology,2023,51(01):16	NOUN
ajst-18329	167	4	-	-	PUNCT
ajst-18329	167	5	21	21	NUM
ajst-18329	167	6	.	.	PUNCT
ajst-18329	168	1	[	[	X
ajst-18329	168	2	5	5	NUM
ajst-18329	168	3	]	]	PUNCT
ajst-18329	168	4	ye	ye	NUM
ajst-18329	168	5	kai	kai	PROPN
ajst-18329	168	6	,	,	PUNCT
ajst-18329	168	7	huang	huang	PROPN
ajst-18329	168	8	xuemei	xuemei	PROPN
ajst-18329	168	9	,	,	PUNCT
ajst-18329	168	10	zhang	zhang	PROPN
ajst-18329	168	11	leian	leian	PROPN
ajst-18329	168	12	,	,	PUNCT
ajst-18329	168	13	et	et	PROPN
ajst-18329	168	14	al	al	PROPN
ajst-18329	168	15	.	.	PROPN
ajst-18329	168	16	high	high	ADJ
ajst-18329	168	17	-	-	PUNCT
ajst-18329	168	18	speed	speed	NOUN
ajst-18329	168	19	bearing	bear	VERB
ajst-18329	168	20	fault	fault	NOUN
ajst-18329	168	21	diagnosis	diagnosis	NOUN
ajst-18329	168	22	of	of	ADP
ajst-18329	168	23	wind	wind	NOUN
ajst-18329	168	24	turbine	turbine	NOUN
ajst-18329	168	25	based	base	VERB
ajst-18329	168	26	on	on	ADP
ajst-18329	168	27	de	de	ADJ
ajst-18329	168	28	-	-	NOUN
ajst-18329	168	29	svm	svm	ADJ
ajst-18329	168	30	[	[	X
ajst-18329	168	31	j	j	X
ajst-18329	168	32	]	]	X
ajst-18329	168	33	.	.	PUNCT
ajst-18329	168	34	machine	machine	NOUN
ajst-18329	168	35	tool	tool	PROPN
ajst-18329	168	36	&	&	CCONJ
ajst-18329	168	37	hydraulics,2022,50(18):153	hydraulics,2022,50(18):153	PROPN
ajst-18329	168	38	-	-	PUNCT
ajst-18329	168	39	157	157	NUM
ajst-18329	168	40	.	.	PUNCT
ajst-18329	169	1	(	(	PUNCT
ajst-18329	169	2	in	in	ADP
ajst-18329	169	3	chinese	chinese	PROPN
ajst-18329	169	4	)	)	PUNCT
ajst-18329	170	1	[	[	X
ajst-18329	170	2	6	6	NUM
ajst-18329	170	3	]	]	PUNCT
ajst-18329	170	4	tian	tian	ADJ
ajst-18329	170	5	sai	sai	PROPN
ajst-18329	170	6	,	,	PUNCT
ajst-18329	170	7	yao	yao	PROPN
ajst-18329	170	8	bin	bin	PROPN
ajst-18329	170	9	,	,	PUNCT
ajst-18329	170	10	chen	chen	PROPN
ajst-18329	170	11	binqiang	binqiang	PROPN
ajst-18329	170	12	,	,	PUNCT
ajst-18329	170	13	et	et	PROPN
ajst-18329	170	14	al	al	PROPN
ajst-18329	170	15	.	.	PUNCT
ajst-18329	170	16	rolling	roll	VERB
ajst-18329	170	17	bearing	bear	VERB
ajst-18329	170	18	fault	fault	NOUN
ajst-18329	170	19	diagnosis	diagnosis	NOUN
ajst-18329	170	20	method	method	NOUN
ajst-18329	170	21	based	base	VERB
ajst-18329	170	22	on	on	ADP
ajst-18329	170	23	morlet	morlet	PROPN
ajst-18329	170	24	wavelet	wavelet	NOUN
ajst-18329	170	25	and	and	CCONJ
ajst-18329	170	26	improved	improved	ADJ
ajst-18329	170	27	kurtosis	kurtosis	NOUN
ajst-18329	171	1	[	[	X
ajst-18329	171	2	j	j	X
ajst-18329	171	3	]	]	X
ajst-18329	171	4	.	.	PUNCT
ajst-18329	172	1	tool	tool	PROPN
ajst-18329	172	2	technology	technology	NOUN
ajst-18329	172	3	,	,	PUNCT
ajst-18329	172	4	2002,56(10):141	2002,56(10):141	NUM
ajst-18329	172	5	-	-	SYM
ajst-18329	172	6	146	146	NUM
ajst-18329	172	7	.	.	PUNCT
ajst-18329	173	1	[	[	X
ajst-18329	173	2	7	7	X
ajst-18329	173	3	]	]	X
ajst-18329	173	4	liu	liu	PROPN
ajst-18329	173	5	bei	bei	PROPN
ajst-18329	173	6	,	,	PUNCT
ajst-18329	173	7	cai	cai	PROPN
ajst-18329	173	8	jianhua	jianhua	PROPN
ajst-18329	173	9	,	,	PUNCT
ajst-18329	173	10	peng	peng	PROPN
ajst-18329	173	11	ziqi	ziqi	PROPN
ajst-18329	173	12	.	.	PUNCT
ajst-18329	174	1	fault	fault	VERB
ajst-18329	174	2	diagnosis	diagnosis	NOUN
ajst-18329	174	3	method	method	NOUN
ajst-18329	174	4	of	of	ADP
ajst-18329	174	5	rolling	rolling	ADJ
ajst-18329	174	6	bearing	bearing	NOUN
ajst-18329	174	7	based	base	VERB
ajst-18329	174	8	on	on	ADP
ajst-18329	174	9	vmd	vmd	PROPN
ajst-18329	174	10	-	-	PUNCT
ajst-18329	174	11	imde	imde	PROPN
ajst-18329	174	12	-	-	PUNCT
ajst-18329	174	13	pnn	pnn	NOUN
ajst-18329	175	1	[	[	X
ajst-18329	175	2	j	j	X
ajst-18329	175	3	]	]	X
ajst-18329	175	4	.	.	PUNCT
ajst-18329	176	1	noise	noise	NOUN
ajst-18329	176	2	and	and	CCONJ
ajst-18329	176	3	vibration	vibration	NOUN
ajst-18329	176	4	control,202,42(05):96	control,202,42(05):96	PROPN
ajst-18329	176	5	-	-	PUNCT
ajst-18329	176	6	101	101	NUM
ajst-18329	176	7	+	+	NOUN
ajst-18329	176	8	133	133	NUM
ajst-18329	176	9	.	.	PUNCT
ajst-18329	177	1	[	[	X
ajst-18329	177	2	8	8	NUM
ajst-18329	177	3	]	]	X
ajst-18329	177	4	zhu	zhu	PROPN
ajst-18329	177	5	j	j	PROPN
ajst-18329	177	6	,	,	PUNCT
ajst-18329	177	7	hu	hu	PROPN
ajst-18329	177	8	t	t	PROPN
ajst-18329	177	9	,	,	PUNCT
ajst-18329	177	10	jiang	jiang	PROPN
ajst-18329	177	11	b	b	PROPN
ajst-18329	177	12	,	,	PUNCT
ajst-18329	177	13	et	et	PROPN
ajst-18329	177	14	al	al	PROPN
ajst-18329	177	15	.	.	PUNCT
ajst-18329	178	1	intelligent	intelligent	ADJ
ajst-18329	178	2	bearing	bearing	NOUN
ajst-18329	178	3	fault	fault	NOUN
ajst-18329	178	4	diagnosis	diagnosis	NOUN
ajst-18329	178	5	using	use	VERB
ajst-18329	178	6	pca	pca	PROPN
ajst-18329	178	7	-	-	PUNCT
ajst-18329	178	8	dbn	dbn	PROPN
ajst-18329	178	9	framework[j	framework[j	PROPN
ajst-18329	178	10	]	]	PUNCT
ajst-18329	178	11	.	.	PUNCT
ajst-18329	179	1	neural	neural	ADJ
ajst-18329	179	2	computing	computing	NOUN
ajst-18329	179	3	and	and	CCONJ
ajst-18329	179	4	applications	application	NOUN
ajst-18329	179	5	,	,	PUNCT
ajst-18329	179	6	2020	2020	NUM
ajst-18329	179	7	,	,	PUNCT
ajst-18329	179	8	32(14	32(14	NUM
ajst-18329	179	9	):	):	PUNCT
ajst-18329	179	10	10773	10773	NUM
ajst-18329	179	11	-	-	SYM
ajst-18329	179	12	10781	10781	NUM
ajst-18329	179	13	.	.	PUNCT
ajst-18329	180	1	[	[	X
ajst-18329	180	2	9	9	NUM
ajst-18329	180	3	]	]	X
ajst-18329	180	4	wang	wang	PROPN
ajst-18329	180	5	h	h	PROPN
ajst-18329	180	6	,	,	PUNCT
ajst-18329	180	7	liu	liu	PROPN
ajst-18329	180	8	z	z	PROPN
ajst-18329	180	9	,	,	PUNCT
ajst-18329	180	10	peng	peng	PROPN
ajst-18329	180	11	d	d	PROPN
ajst-18329	180	12	,	,	PUNCT
ajst-18329	180	13	et	et	PROPN
ajst-18329	180	14	al	al	PROPN
ajst-18329	180	15	.	.	PUNCT
ajst-18329	180	16	understanding	understanding	NOUN
ajst-18329	180	17	and	and	CCONJ
ajst-18329	180	18	learning	learn	VERB
ajst-18329	180	19	discriminant	discriminant	NOUN
ajst-18329	180	20	features	feature	NOUN
ajst-18329	180	21	based	base	VERB
ajst-18329	180	22	on	on	ADP
ajst-18329	180	23	multiattention	multiattention	PROPN
ajst-18329	180	24	1dcnn	1dcnn	NUM
ajst-18329	180	25	for	for	ADP
ajst-18329	180	26	wheelset	wheelset	NOUN
ajst-18329	180	27	bearing	bearing	NOUN
ajst-18329	180	28	fault	fault	VERB
ajst-18329	180	29	diagnosis[j	diagnosis[j	NOUN
ajst-18329	180	30	]	]	PUNCT
ajst-18329	180	31	.	.	PUNCT
ajst-18329	181	1	ieee	ieee	NOUN
ajst-18329	181	2	transactions	transaction	NOUN
ajst-18329	181	3	on	on	ADP
ajst-18329	181	4	industrial	industrial	ADJ
ajst-18329	181	5	informatics	informatic	NOUN
ajst-18329	181	6	,	,	PUNCT
ajst-18329	181	7	2019	2019	NUM
ajst-18329	181	8	,	,	PUNCT
ajst-18329	181	9	16(9	16(9	NUM
ajst-18329	181	10	):	):	PUNCT
ajst-18329	181	11	5735	5735	NUM
ajst-18329	181	12	-	-	SYM
ajst-18329	181	13	5745	5745	NUM
ajst-18329	181	14	.	.	PUNCT
ajst-18329	182	1	[	[	X
ajst-18329	182	2	10	10	NUM
ajst-18329	182	3	]	]	X
ajst-18329	182	4	cai	cai	PROPN
ajst-18329	182	5	gai	gai	PROPN
ajst-18329	182	6	-	-	PUNCT
ajst-18329	182	7	po	po	PROPN
ajst-18329	182	8	,	,	PUNCT
ajst-18329	182	9	zhao	zhao	PROPN
ajst-18329	182	10	xiao	xiao	PROPN
ajst-18329	182	11	-	-	PUNCT
ajst-18329	182	12	tao	tao	PROPN
ajst-18329	182	13	,	,	PUNCT
ajst-18329	182	14	hu	hu	PROPN
ajst-18329	182	15	xian	xian	PROPN
ajst-18329	182	16	-	-	PUNCT
ajst-18329	182	17	neng	neng	PROPN
ajst-18329	182	18	,	,	PUNCT
ajst-18329	182	19	et	et	PROPN
ajst-18329	182	20	al	al	PROPN
ajst-18329	182	21	.	.	PROPN
ajst-18329	182	22	research	research	NOUN
ajst-18329	182	23	on	on	ADP
ajst-18329	182	24	de	de	ADJ
ajst-18329	182	25	-	-	ADJ
ajst-18329	182	26	noising	noising	ADJ
ajst-18329	182	27	method	method	NOUN
ajst-18329	182	28	of	of	ADP
ajst-18329	182	29	cylinder	cylinder	NOUN
ajst-18329	182	30	vibration	vibration	NOUN
ajst-18329	182	31	signal	signal	NOUN
ajst-18329	182	32	of	of	ADP
ajst-18329	182	33	combined	combine	VERB
ajst-18329	182	34	ball	ball	NOUN
ajst-18329	182	35	mill	mill	NOUN
ajst-18329	182	36	with	with	ADP
ajst-18329	182	37	ceemdan	ceemdan	ADJ
ajst-18329	182	38	-	-	PUNCT
ajst-18329	182	39	wavelet	wavelet	NOUN
ajst-18329	182	40	threshold	threshold	NOUN
ajst-18329	183	1	[	[	X
ajst-18329	183	2	j	j	X
ajst-18329	183	3	]	]	X
ajst-18329	183	4	.	.	PUNCT
ajst-18329	184	1	mechanical	mechanical	ADJ
ajst-18329	184	2	science	science	NOUN
ajst-18329	184	3	and	and	CCONJ
ajst-18329	184	4	technology	technology	NOUN
ajst-18329	184	5	,	,	PUNCT
ajst-18329	184	6	2019,39(07):1077	2019,39(07):1077	NUM
ajst-18329	184	7	-	-	SYM
ajst-18329	184	8	1085	1085	NUM
ajst-18329	184	9	.	.	PUNCT
ajst-18329	185	1	[	[	X
ajst-18329	185	2	11	11	NUM
ajst-18329	185	3	]	]	X
ajst-18329	185	4	jiang	jiang	PROPN
ajst-18329	185	5	lei	lei	PROPN
ajst-18329	185	6	,	,	PUNCT
ajst-18329	185	7	zhu	zhu	PROPN
ajst-18329	185	8	mingsi	mingsi	PROPN
ajst-18329	185	9	,	,	PUNCT
ajst-18329	185	10	li	li	PROPN
ajst-18329	185	11	feilong	feilong	PROPN
ajst-18329	185	12	.	.	PUNCT
ajst-18329	186	1	motor	motor	NOUN
ajst-18329	186	2	bearing	bear	VERB
ajst-18329	186	3	fault	fault	NOUN
ajst-18329	186	4	diagnosis	diagnosis	NOUN
ajst-18329	186	5	based	base	VERB
ajst-18329	186	6	on	on	ADP
ajst-18329	186	7	amd	amd	NOUN
ajst-18329	186	8	and	and	CCONJ
ajst-18329	186	9	wavelet	wavelet	NOUN
ajst-18329	186	10	threshold	threshold	NOUN
ajst-18329	186	11	denoising	denoise	VERB
ajst-18329	186	12	[	[	X
ajst-18329	186	13	j	j	X
ajst-18329	186	14	]	]	X
ajst-18329	186	15	.	.	PUNCT
ajst-18329	187	1	machine	machine	NOUN
ajst-18329	187	2	design	design	PROPN
ajst-18329	187	3	&	&	CCONJ
ajst-18329	187	4	manufacture,2021(09):47	manufacture,2021(09):47	PROPN
ajst-18329	187	5	-	-	X
ajst-18329	187	6	50	50	NUM
ajst-18329	187	7	.	.	PUNCT
ajst-18329	188	1	[	[	X
ajst-18329	188	2	12	12	NUM
ajst-18329	188	3	]	]	X
ajst-18329	188	4	kim	kim	PROPN
ajst-18329	188	5	s	s	PROPN
ajst-18329	188	6	j	j	PROPN
ajst-18329	188	7	,	,	PUNCT
ajst-18329	188	8	kim	kim	PROPN
ajst-18329	188	9	k	k	PROPN
ajst-18329	188	10	,	,	PUNCT
ajst-18329	188	11	hwang	hwang	PROPN
ajst-18329	188	12	t	t	PROPN
ajst-18329	188	13	,	,	PUNCT
ajst-18329	188	14	et	et	PROPN
ajst-18329	188	15	al	al	PROPN
ajst-18329	188	16	.	.	PROPN
ajst-18329	188	17	motor	motor	NOUN
ajst-18329	188	18	-	-	PUNCT
ajst-18329	188	19	current	current	ADJ
ajst-18329	188	20	-	-	PUNCT
ajst-18329	188	21	based	base	VERB
ajst-18329	188	22	electromagnetic	electromagnetic	ADJ
ajst-18329	188	23	interference	interference	NOUN
ajst-18329	188	24	de	de	ADJ
ajst-18329	188	25	-	-	ADJ
ajst-18329	188	26	noising	noising	ADJ
ajst-18329	188	27	method	method	NOUN
ajst-18329	188	28	for	for	ADP
ajst-18329	188	29	rolling	rolling	ADJ
ajst-18329	188	30	element	element	NOUN
ajst-18329	188	31	bearing	bear	VERB
ajst-18329	188	32	diagnosis	diagnosis	NOUN
ajst-18329	188	33	using	use	VERB
ajst-18329	188	34	&	&	CCONJ
ajst-18329	188	35	emission	emission	NOUN
ajst-18329	188	36	sensors	sensor	NOUN
ajst-18329	188	37	[	[	X
ajst-18329	188	38	j	j	X
ajst-18329	188	39	]	]	X
ajst-18329	188	40	.	.	PUNCT
ajst-18329	189	1	journal	journal	PROPN
ajst-18329	189	2	of	of	ADP
ajst-18329	189	3	measurement	measurement	PROPN
ajst-18329	189	4	,	,	PUNCT
ajst-18329	189	5	2022193:110912	2022193:110912	NUM
ajst-18329	189	6	.	.	PUNCT
ajst-18329	190	1	[	[	X
ajst-18329	190	2	13	13	NUM
ajst-18329	190	3	]	]	X
ajst-18329	190	4	liu	liu	PROPN
ajst-18329	190	5	changliang	changliang	PROPN
ajst-18329	190	6	,	,	PUNCT
ajst-18329	190	7	wu	wu	PROPN
ajst-18329	190	8	yingjie	yingjie	PROPN
ajst-18329	190	9	,	,	PUNCT
ajst-18329	190	10	zhen	zhen	PROPN
ajst-18329	190	11	chenggang	chenggang	PROPN
ajst-18329	190	12	.	.	PUNCT
ajst-18329	191	1	fault	fault	VERB
ajst-18329	191	2	diagnosis	diagnosis	NOUN
ajst-18329	191	3	of	of	ADP
ajst-18329	191	4	rolling	rolling	ADJ
ajst-18329	191	5	bearings	bearing	NOUN
ajst-18329	191	6	based	base	VERB
ajst-18329	191	7	on	on	ADP
ajst-18329	191	8	variational	variational	ADJ
ajst-18329	191	9	mode	mode	NOUN
ajst-18329	191	10	decomposition	decomposition	NOUN
ajst-18329	191	11	and	and	CCONJ
ajst-18329	191	12	fuzzy	fuzzy	ADJ
ajst-18329	191	13	c	c	NOUN
ajst-18329	191	14	-	-	PUNCT
ajst-18329	191	15	means	means	NOUN
ajst-18329	191	16	clustering	cluster	VERB
ajst-18329	191	17	[	[	X
ajst-18329	191	18	j	j	X
ajst-18329	191	19	]	]	X
ajst-18329	191	20	.	.	PUNCT
ajst-18329	192	1	proceedings	proceeding	NOUN
ajst-18329	192	2	of	of	ADP
ajst-18329	192	3	the	the	DET
ajst-18329	192	4	csee	csee	NOUN
ajst-18329	192	5	,	,	PUNCT
ajst-18329	192	6	2015:3558	2015:3558	NUM
ajst-18329	192	7	-	-	SYM
ajst-18329	192	8	3565	3565	NUM
ajst-18329	192	9	.	.	PUNCT
ajst-18329	193	1	[	[	X
ajst-18329	193	2	14	14	NUM
ajst-18329	193	3	]	]	X
ajst-18329	193	4	zi	zi	PROPN
ajst-18329	193	5	-	-	PROPN
ajst-18329	193	6	fei	fei	PROPN
ajst-18329	193	7	x	x	PROPN
ajst-18329	193	8	,	,	PUNCT
ajst-18329	193	9	min	min	PROPN
ajst-18329	193	10	-	-	PROPN
ajst-18329	193	11	nan	nan	PROPN
ajst-18329	193	12	y	y	PROPN
ajst-18329	193	13	,	,	PUNCT
ajst-18329	193	14	chun	chun	PROPN
ajst-18329	193	15	l.	l.	PROPN
ajst-18329	193	16	application	application	NOUN
ajst-18329	193	17	of	of	ADP
ajst-18329	193	18	the	the	DET
ajst-18329	193	19	proposed	propose	VERB
ajst-18329	193	20	optimized	optimize	VERB
ajst-18329	193	21	recursive	recursive	ADJ
ajst-18329	193	22	variational	variational	ADJ
ajst-18329	193	23	mode	mode	NOUN
ajst-18329	193	24	decomposition	decomposition	NOUN
ajst-18329	193	25	in	in	ADP
ajst-18329	193	26	nonlinear	nonlinear	ADJ
ajst-18329	193	27	decomposition[j	decomposition[j	PROPN
ajst-18329	193	28	]	]	PUNCT
ajst-18329	193	29	.	.	PUNCT
ajst-18329	194	1	acta	acta	PROPN
ajst-18329	194	2	physica	physica	PROPN
ajst-18329	194	3	sinica	sinica	PROPN
ajst-18329	194	4	,	,	PUNCT
ajst-18329	194	5	2019	2019	NUM
ajst-18329	194	6	,	,	PUNCT
ajst-18329	194	7	68(23):238401	68(23):238401	NUM
ajst-18329	195	1	[	[	X
ajst-18329	195	2	15	15	NUM
ajst-18329	195	3	]	]	X
ajst-18329	195	4	dragomiretskiy	dragomiretskiy	NOUN
ajst-18329	195	5	k	k	PROPN
ajst-18329	195	6	,	,	PUNCT
ajst-18329	195	7	zosso	zosso	PROPN
ajst-18329	195	8	d.	d.	PROPN
ajst-18329	195	9	variational	variational	PROPN
ajst-18329	195	10	mode	mode	PROPN
ajst-18329	195	11	decomposition	decomposition	NOUN
ajst-18329	196	1	[	[	X
ajst-18329	196	2	j	j	X
ajst-18329	196	3	]	]	X
ajst-18329	196	4	.	.	PUNCT
ajst-18329	197	1	ieee	ieee	NOUN
ajst-18329	197	2	transactions	transaction	NOUN
ajst-18329	197	3	on	on	ADP
ajst-18329	197	4	signal	signal	ADJ
ajst-18329	197	5	processing	processing	NOUN
ajst-18329	197	6	,	,	PUNCT
ajst-18329	197	7	2013	2013	NUM
ajst-18329	197	8	,	,	PUNCT
ajst-18329	197	9	62(3	62(3	NOUN
ajst-18329	197	10	):	):	PUNCT
ajst-18329	197	11	531	531	NUM
ajst-18329	197	12	-	-	SYM
ajst-18329	197	13	544	544	NUM
ajst-18329	197	14	.	.	PUNCT
ajst-18329	198	1	[	[	X
ajst-18329	198	2	16	16	NUM
ajst-18329	198	3	]	]	X
ajst-18329	198	4	zhou	zhou	PROPN
ajst-18329	198	5	yina	yina	PROPN
ajst-18329	198	6	,	,	PUNCT
ajst-18329	198	7	lu	lu	PROPN
ajst-18329	198	8	jingyi	jingyi	PROPN
ajst-18329	198	9	,	,	PUNCT
ajst-18329	198	10	zhang	zhang	PROPN
ajst-18329	198	11	yong	yong	PROPN
ajst-18329	198	12	,	,	PUNCT
ajst-18329	198	13	dong	dong	PROPN
ajst-18329	198	14	hongli	hongli	PROPN
ajst-18329	198	15	,	,	PUNCT
ajst-18329	198	16	yang	yang	PROPN
ajst-18329	198	17	dandi	dandi	PROPN
ajst-18329	198	18	.	.	PUNCT
ajst-18329	199	1	vmd	vmd	PROPN
ajst-18329	199	2	-	-	PUNCT
ajst-18329	199	3	sg	sg	ADP
ajst-18329	199	4	-	-	PUNCT
ajst-18329	199	5	wt	wt	NOUN
ajst-18329	199	6	denoising	denoising	NOUN
ajst-18329	199	7	method	method	NOUN
ajst-18329	199	8	and	and	CCONJ
ajst-18329	199	9	its	its	PRON
ajst-18329	199	10	application	application	NOUN
ajst-18329	199	11	in	in	ADP
ajst-18329	199	12	chaos	chaos	NOUN
ajst-18329	199	13	denoising	denoise	VERB
ajst-18329	199	14	[	[	X
ajst-18329	199	15	j	j	X
ajst-18329	199	16	]	]	X
ajst-18329	199	17	.	.	PUNCT
ajst-18329	200	1	journal	journal	PROPN
ajst-18329	200	2	of	of	ADP
ajst-18329	200	3	northeast	northeast	ADJ
ajst-18329	200	4	petroleum	petroleum	NOUN
ajst-18329	200	5	university	university	NOUN
ajst-18329	200	6	,	,	PUNCT
ajst-18329	200	7	2019,44(04):113	2019,44(04):113	NUM
ajst-18329	200	8	-	-	SYM
ajst-18329	200	9	120	120	NUM
ajst-18329	200	10	+	+	NUM
ajst-18329	200	11	132	132	NUM
ajst-18329	200	12	+	+	SYM
ajst-18329	200	13	13	13	NUM
ajst-18329	200	14	.	.	PUNCT
ajst-18329	201	1	[	[	X
ajst-18329	201	2	17	17	NUM
ajst-18329	201	3	]	]	X
ajst-18329	201	4	dong	dong	PROPN
ajst-18329	201	5	lichao	lichao	PROPN
ajst-18329	201	6	,	,	PUNCT
ajst-18329	201	7	guo	guo	PROPN
ajst-18329	201	8	xingming	xingming	PROPN
ajst-18329	201	9	,	,	PUNCT
ajst-18329	201	10	zheng	zheng	PROPN
ajst-18329	201	11	yineng	yineng	PROPN
ajst-18329	201	12	.	.	PUNCT
ajst-18329	202	1	research	research	NOUN
ajst-18329	202	2	on	on	ADP
ajst-18329	202	3	wavelet	wavelet	NOUN
ajst-18329	202	4	packet	packet	NOUN
ajst-18329	202	5	denoising	denoise	VERB
ajst-18329	202	6	algorithm	algorithm	NOUN
ajst-18329	202	7	of	of	ADP
ajst-18329	202	8	heart	heart	NOUN
ajst-18329	202	9	sound	sound	NOUN
ajst-18329	202	10	signal	signal	NOUN
ajst-18329	202	11	based	base	VERB
ajst-18329	202	12	on	on	ADP
ajst-18329	202	13	ceemd	ceemd	PROPN
ajst-18329	203	1	[	[	X
ajst-18329	203	2	j	j	X
ajst-18329	203	3	]	]	X
ajst-18329	203	4	.	.	PUNCT
ajst-18329	204	1	journal	journal	PROPN
ajst-18329	204	2	of	of	ADP
ajst-18329	204	3	vibration	vibration	NOUN
ajst-18329	204	4	and	and	CCONJ
ajst-18329	204	5	shock	shock	NOUN
ajst-18329	204	6	,	,	PUNCT
ajst-18329	204	7	2019	2019	NUM
ajst-18329	204	8	,	,	PUNCT
ajst-18329	204	9	38(09	38(09	NUM
ajst-18329	204	10	):	):	PUNCT
ajst-18329	204	11	192	192	NUM
ajst-18329	204	12	-	-	SYM
ajst-18329	204	13	198	198	NUM
ajst-18329	204	14	+	+	NOUN
ajst-18329	204	15	222	222	NUM
ajst-18329	204	16	.	.	PUNCT
ajst-18329	205	1	(	(	PUNCT
ajst-18329	205	2	in	in	ADP
ajst-18329	205	3	chinese	chinese	PROPN
ajst-18329	205	4	)	)	PUNCT
ajst-18329	206	1	[	[	X
ajst-18329	206	2	18	18	NUM
ajst-18329	206	3	]	]	X
ajst-18329	206	4	wen	wen	PROPN
ajst-18329	206	5	l	l	PROPN
ajst-18329	206	6	,	,	PUNCT
ajst-18329	206	7	li	li	PROPN
ajst-18329	206	8	x	x	SYM
ajst-18329	206	9	y	y	PROPN
ajst-18329	206	10	,	,	PUNCT
ajst-18329	206	11	gao	gao	PROPN
ajst-18329	206	12	,	,	PUNCT
ajst-18329	206	13	et	et	PROPN
ajst-18329	206	14	al	al	PROPN
ajst-18329	206	15	.	.	PUNCT
ajst-18329	207	1	a	a	DET
ajst-18329	207	2	new	new	ADJ
ajst-18329	207	3	convolutional	convolutional	ADJ
ajst-18329	207	4	neural	neural	ADJ
ajst-18329	207	5	network	network	NOUN
ajst-18329	207	6	-	-	PUNCT
ajst-18329	207	7	based	base	VERB
ajst-18329	207	8	data	data	NOUN
ajst-18329	207	9	-	-	PUNCT
ajst-18329	207	10	driven	drive	VERB
ajst-18329	207	11	fault	fault	NOUN
ajst-18329	207	12	diagnosis	diagnosis	NOUN
ajst-18329	207	13	method[j	method[j	NOUN
ajst-18329	207	14	]	]	PUNCT
ajst-18329	207	15	.	.	PUNCT
ajst-18329	208	1	ieee	ieee	NOUN
ajst-18329	208	2	transactions	transaction	NOUN
ajst-18329	208	3	on	on	ADP
ajst-18329	208	4	industrial	industrial	ADJ
ajst-18329	208	5	electronics	electronic	NOUN
ajst-18329	208	6	,	,	PUNCT
ajst-18329	208	7	2018	2018	NUM
ajst-18329	208	8	,	,	PUNCT
ajst-18329	208	9	65(7	65(7	NUM
ajst-18329	208	10	):	):	PUNCT
ajst-18329	208	11	5990	5990	NUM
ajst-18329	208	12	-	-	SYM
ajst-18329	208	13	5998	5998	NUM
ajst-18329	208	14	.	.	PUNCT
ajst-18329	209	1	(	(	PUNCT
ajst-18329	209	2	in	in	ADP
ajst-18329	209	3	chinese	chinese	PROPN
ajst-18329	209	4	)	)	PUNCT
ajst-18329	210	1	[	[	X
ajst-18329	210	2	19	19	NUM
ajst-18329	210	3	]	]	ADJ
ajst-18329	210	4	dosovitskiy	dosovitskiy	NOUN
ajst-18329	210	5	a	a	NOUN
ajst-18329	210	6	,	,	PUNCT
ajst-18329	210	7	beyer	beyer	PROPN
ajst-18329	210	8	l	l	PROPN
ajst-18329	210	9	,	,	PUNCT
ajst-18329	210	10	kolesnikov	kolesnikov	PROPN
ajst-18329	210	11	a	a	PROPN
ajst-18329	210	12	,	,	PUNCT
ajst-18329	210	13	et	et	PROPN
ajst-18329	210	14	al	al	PROPN
ajst-18329	210	15	.	.	PUNCT
ajst-18329	211	1	an	an	DET
ajst-18329	211	2	image	image	NOUN
ajst-18329	211	3	is	be	AUX
ajst-18329	211	4	worth	worth	ADJ
ajst-18329	211	5	16x16	16x16	NUM
ajst-18329	211	6	words	word	NOUN
ajst-18329	211	7	:	:	PUNCT
ajst-18329	211	8	transformers	transformer	NOUN
ajst-18329	211	9	for	for	ADP
ajst-18329	211	10	image	image	NOUN
ajst-18329	211	11	recognition	recognition	NOUN
ajst-18329	211	12	at	at	ADP
ajst-18329	211	13	scale[j	scale[j	NOUN
ajst-18329	211	14	]	]	PUNCT
ajst-18329	211	15	.	.	PUNCT
ajst-18329	212	1	ar**v	ar**v	PUNCT
ajst-18329	212	2	preprint	preprint	VERB
ajst-18329	212	3	ar**v:2010.11929	ar**v:2010.11929	NOUN
ajst-18329	212	4	,	,	PUNCT
ajst-18329	212	5	2020	2020	NUM
ajst-18329	212	6	.	.	PUNCT