id	sid	tid	token	lemma	pos
fcis-9673	1	1	frontiers	frontier	NOUN
fcis-9673	1	2	in	in	ADP
fcis-9673	1	3	computing	computing	NOUN
fcis-9673	1	4	and	and	CCONJ
fcis-9673	1	5	intelligent	intelligent	ADJ
fcis-9673	1	6	systems	system	NOUN
fcis-9673	1	7	issn	issn	VERB
fcis-9673	1	8	:	:	PUNCT
fcis-9673	1	9	2832	2832	NUM
fcis-9673	1	10	-	-	SYM
fcis-9673	1	11	6024	6024	NUM
fcis-9673	1	12	|	|	NOUN
fcis-9673	1	13	vol	vol	NOUN
fcis-9673	1	14	.	.	PROPN
fcis-9673	2	1	4	4	NUM
fcis-9673	2	2	,	,	PUNCT
fcis-9673	2	3	no	no	INTJ
fcis-9673	2	4	.	.	NOUN
fcis-9673	2	5	2	2	NUM
fcis-9673	2	6	,	,	PUNCT
fcis-9673	2	7	2023	2023	NUM
fcis-9673	2	8	1	1	NUM
fcis-9673	2	9	bearing	bear	VERB
fcis-9673	2	10	fault	fault	NOUN
fcis-9673	2	11	diagnosis	diagnosis	NOUN
fcis-9673	2	12	based	base	VERB
fcis-9673	2	13	on	on	ADP
fcis-9673	2	14	residual	residual	ADJ
fcis-9673	2	15	network	network	NOUN
fcis-9673	2	16	attention	attention	NOUN
fcis-9673	2	17	mechanism	mechanism	NOUN
fcis-9673	2	18	chunxiu	chunxiu	PROPN
fcis-9673	2	19	huang	huang	PROPN
fcis-9673	2	20	school	school	PROPN
fcis-9673	2	21	of	of	ADP
fcis-9673	2	22	yangtze	yangtze	PROPN
fcis-9673	2	23	university	university	PROPN
fcis-9673	2	24	,	,	PUNCT
fcis-9673	2	25	jingzhou	jingzhou	PROPN
fcis-9673	2	26	,	,	PUNCT
fcis-9673	2	27	hubei	hubei	PROPN
fcis-9673	2	28	,	,	PUNCT
fcis-9673	2	29	434000	434000	NUM
fcis-9673	2	30	,	,	PUNCT
fcis-9673	2	31	china	china	PROPN
fcis-9673	2	32	abstract	abstract	NOUN
fcis-9673	2	33	:	:	PUNCT
fcis-9673	2	34	aiming	aim	VERB
fcis-9673	2	35	at	at	ADP
fcis-9673	2	36	the	the	DET
fcis-9673	2	37	problem	problem	NOUN
fcis-9673	2	38	that	that	SCONJ
fcis-9673	2	39	the	the	DET
fcis-9673	2	40	detection	detection	NOUN
fcis-9673	2	41	of	of	ADP
fcis-9673	2	42	bearing	bear	VERB
fcis-9673	2	43	fault	fault	NOUN
fcis-9673	2	44	diagnosis	diagnosis	NOUN
fcis-9673	2	45	is	be	AUX
fcis-9673	2	46	rarely	rarely	ADV
fcis-9673	2	47	applied	apply	VERB
fcis-9673	2	48	in	in	ADP
fcis-9673	2	49	the	the	DET
fcis-9673	2	50	research	research	NOUN
fcis-9673	2	51	of	of	ADP
fcis-9673	2	52	image	image	NOUN
fcis-9673	2	53	classification	classification	NOUN
fcis-9673	2	54	,	,	PUNCT
fcis-9673	2	55	a	a	DET
fcis-9673	2	56	new	new	ADJ
fcis-9673	2	57	method	method	NOUN
fcis-9673	2	58	based	base	VERB
fcis-9673	2	59	on	on	ADP
fcis-9673	2	60	residual	residual	ADJ
fcis-9673	2	61	network	network	NOUN
fcis-9673	2	62	and	and	CCONJ
fcis-9673	2	63	attention	attention	NOUN
fcis-9673	2	64	mechanism	mechanism	NOUN
fcis-9673	2	65	is	be	AUX
fcis-9673	2	66	proposed	propose	VERB
fcis-9673	2	67	to	to	PART
fcis-9673	2	68	identify	identify	VERB
fcis-9673	2	69	bearing	bear	VERB
fcis-9673	2	70	fault	fault	NOUN
fcis-9673	2	71	diagnosis	diagnosis	NOUN
fcis-9673	2	72	.	.	PUNCT
fcis-9673	3	1	one	one	NUM
fcis-9673	3	2	-	-	PUNCT
fcis-9673	3	3	dimensional	dimensional	ADJ
fcis-9673	3	4	vibration	vibration	NOUN
fcis-9673	3	5	signals	signal	NOUN
fcis-9673	3	6	are	be	AUX
fcis-9673	3	7	transformed	transform	VERB
fcis-9673	3	8	into	into	ADP
fcis-9673	3	9	two	two	NUM
fcis-9673	3	10	-	-	PUNCT
fcis-9673	3	11	dimensional	dimensional	ADJ
fcis-9673	3	12	time	time	NOUN
fcis-9673	3	13	-	-	PUNCT
fcis-9673	3	14	frequency	frequency	NOUN
fcis-9673	3	15	images	image	NOUN
fcis-9673	3	16	by	by	ADP
fcis-9673	3	17	continuous	continuous	ADJ
fcis-9673	3	18	wavelet	wavelet	NOUN
fcis-9673	3	19	transform	transform	NOUN
fcis-9673	3	20	(	(	PUNCT
fcis-9673	3	21	cwt	cwt	NOUN
fcis-9673	3	22	)	)	PUNCT
fcis-9673	3	23	,	,	PUNCT
fcis-9673	3	24	which	which	PRON
fcis-9673	3	25	are	be	AUX
fcis-9673	3	26	input	input	VERB
fcis-9673	3	27	into	into	ADP
fcis-9673	3	28	the	the	DET
fcis-9673	3	29	model	model	NOUN
fcis-9673	3	30	for	for	ADP
fcis-9673	3	31	classification	classification	NOUN
fcis-9673	3	32	.	.	PUNCT
fcis-9673	4	1	in	in	ADP
fcis-9673	4	2	order	order	NOUN
fcis-9673	4	3	to	to	PART
fcis-9673	4	4	solve	solve	VERB
fcis-9673	4	5	the	the	DET
fcis-9673	4	6	problem	problem	NOUN
fcis-9673	4	7	that	that	SCONJ
fcis-9673	4	8	the	the	DET
fcis-9673	4	9	traditional	traditional	ADJ
fcis-9673	4	10	convolutional	convolutional	ADJ
fcis-9673	4	11	neural	neural	ADJ
fcis-9673	4	12	network	network	NOUN
fcis-9673	4	13	model	model	NOUN
fcis-9673	4	14	ignores	ignore	VERB
fcis-9673	4	15	the	the	DET
fcis-9673	4	16	low	low	ADJ
fcis-9673	4	17	diagnostic	diagnostic	ADJ
fcis-9673	4	18	accuracy	accuracy	NOUN
fcis-9673	4	19	of	of	ADP
fcis-9673	4	20	channel	channel	NOUN
fcis-9673	4	21	attention	attention	NOUN
fcis-9673	4	22	and	and	CCONJ
fcis-9673	4	23	spatial	spatial	ADJ
fcis-9673	4	24	attention	attention	NOUN
fcis-9673	4	25	due	due	ADP
fcis-9673	4	26	to	to	ADP
fcis-9673	4	27	the	the	DET
fcis-9673	4	28	loss	loss	NOUN
fcis-9673	4	29	of	of	ADP
fcis-9673	4	30	important	important	ADJ
fcis-9673	4	31	features	feature	NOUN
fcis-9673	4	32	,	,	PUNCT
fcis-9673	4	33	the	the	DET
fcis-9673	4	34	attention	attention	NOUN
fcis-9673	4	35	mechanism	mechanism	NOUN
fcis-9673	4	36	cbam	cbam	NOUN
fcis-9673	4	37	module	module	NOUN
fcis-9673	4	38	is	be	AUX
fcis-9673	4	39	added	add	VERB
fcis-9673	4	40	to	to	PART
fcis-9673	4	41	make	make	VERB
fcis-9673	4	42	up	up	ADP
fcis-9673	4	43	for	for	ADP
fcis-9673	4	44	the	the	DET
fcis-9673	4	45	loss	loss	NOUN
fcis-9673	4	46	of	of	ADP
fcis-9673	4	47	channel	channel	NOUN
fcis-9673	4	48	features	feature	NOUN
fcis-9673	4	49	and	and	CCONJ
fcis-9673	4	50	spatial	spatial	ADJ
fcis-9673	4	51	features	feature	NOUN
fcis-9673	4	52	in	in	ADP
fcis-9673	4	53	the	the	DET
fcis-9673	4	54	traditional	traditional	ADJ
fcis-9673	4	55	model	model	NOUN
fcis-9673	4	56	.	.	PUNCT
fcis-9673	5	1	at	at	ADP
fcis-9673	5	2	the	the	DET
fcis-9673	5	3	same	same	ADJ
fcis-9673	5	4	time	time	NOUN
fcis-9673	5	5	,	,	PUNCT
fcis-9673	5	6	the	the	DET
fcis-9673	5	7	residual	residual	ADJ
fcis-9673	5	8	network	network	NOUN
fcis-9673	5	9	resnet	resnet	NOUN
fcis-9673	5	10	combined	combine	VERB
fcis-9673	5	11	with	with	ADP
fcis-9673	5	12	the	the	DET
fcis-9673	5	13	attention	attention	NOUN
fcis-9673	5	14	mechanism	mechanism	NOUN
fcis-9673	5	15	can	can	AUX
fcis-9673	5	16	better	well	ADV
fcis-9673	5	17	capture	capture	VERB
fcis-9673	5	18	the	the	DET
fcis-9673	5	19	global	global	ADJ
fcis-9673	5	20	information	information	NOUN
fcis-9673	5	21	of	of	ADP
fcis-9673	5	22	the	the	DET
fcis-9673	5	23	time	time	NOUN
fcis-9673	5	24	frequency	frequency	NOUN
fcis-9673	5	25	graph	graph	NOUN
fcis-9673	5	26	,	,	PUNCT
fcis-9673	5	27	and	and	CCONJ
fcis-9673	5	28	make	make	VERB
fcis-9673	5	29	up	up	ADP
fcis-9673	5	30	for	for	ADP
fcis-9673	5	31	the	the	DET
fcis-9673	5	32	defects	defect	NOUN
fcis-9673	5	33	of	of	ADP
fcis-9673	5	34	the	the	DET
fcis-9673	5	35	residual	residual	ADJ
fcis-9673	5	36	network	network	NOUN
fcis-9673	5	37	module	module	NOUN
fcis-9673	5	38	.	.	PUNCT
fcis-9673	6	1	the	the	DET
fcis-9673	6	2	experimental	experimental	ADJ
fcis-9673	6	3	results	result	NOUN
fcis-9673	6	4	show	show	VERB
fcis-9673	6	5	that	that	SCONJ
fcis-9673	6	6	the	the	DET
fcis-9673	6	7	model	model	NOUN
fcis-9673	6	8	has	have	VERB
fcis-9673	6	9	high	high	ADJ
fcis-9673	6	10	diagnostic	diagnostic	ADJ
fcis-9673	6	11	accuracy	accuracy	NOUN
fcis-9673	6	12	in	in	ADP
fcis-9673	6	13	rolling	rolling	ADJ
fcis-9673	6	14	bearing	bear	VERB
fcis-9673	6	15	fault	fault	NOUN
fcis-9673	6	16	diagnosis	diagnosis	NOUN
fcis-9673	6	17	,	,	PUNCT
fcis-9673	6	18	which	which	PRON
fcis-9673	6	19	proves	prove	VERB
fcis-9673	6	20	that	that	SCONJ
fcis-9673	6	21	the	the	DET
fcis-9673	6	22	proposed	propose	VERB
fcis-9673	6	23	method	method	NOUN
fcis-9673	6	24	is	be	AUX
fcis-9673	6	25	effective	effective	ADJ
fcis-9673	6	26	and	and	CCONJ
fcis-9673	6	27	feasible	feasible	ADJ
fcis-9673	6	28	.	.	PUNCT
fcis-9673	7	1	keywords	keyword	NOUN
fcis-9673	7	2	:	:	PUNCT
fcis-9673	7	3	residual	residual	ADJ
fcis-9673	7	4	network	network	NOUN
fcis-9673	7	5	;	;	PUNCT
fcis-9673	7	6	attention	attention	NOUN
fcis-9673	7	7	mechanism	mechanism	NOUN
fcis-9673	7	8	;	;	PUNCT
fcis-9673	7	9	bearing	bear	VERB
fcis-9673	7	10	failure	failure	NOUN
fcis-9673	7	11	;	;	PUNCT
fcis-9673	7	12	cwt	cwt	X
fcis-9673	7	13	.	.	NOUN
fcis-9673	8	1	1	1	X
fcis-9673	8	2	.	.	X
fcis-9673	8	3	introduction	introduction	NOUN
fcis-9673	8	4	rolling	rolling	ADJ
fcis-9673	8	5	bearing	bearing	NOUN
fcis-9673	8	6	is	be	AUX
fcis-9673	8	7	an	an	DET
fcis-9673	8	8	important	important	ADJ
fcis-9673	8	9	component	component	NOUN
fcis-9673	8	10	of	of	ADP
fcis-9673	8	11	modern	modern	ADJ
fcis-9673	8	12	industrial	industrial	ADJ
fcis-9673	8	13	large	large	ADJ
fcis-9673	8	14	machinery	machinery	NOUN
fcis-9673	8	15	,	,	PUNCT
fcis-9673	8	16	a	a	DET
fcis-9673	8	17	wide	wide	ADJ
fcis-9673	8	18	variety	variety	NOUN
fcis-9673	8	19	of	of	ADP
fcis-9673	8	20	bearings	bearing	NOUN
fcis-9673	8	21	,	,	PUNCT
fcis-9673	8	22	the	the	DET
fcis-9673	8	23	application	application	NOUN
fcis-9673	8	24	field	field	NOUN
fcis-9673	8	25	is	be	AUX
fcis-9673	8	26	also	also	ADV
fcis-9673	8	27	very	very	ADV
fcis-9673	8	28	wide	wide	ADJ
fcis-9673	8	29	.	.	PUNCT
fcis-9673	9	1	most	most	ADJ
fcis-9673	9	2	of	of	ADP
fcis-9673	9	3	the	the	DET
fcis-9673	9	4	mechanical	mechanical	ADJ
fcis-9673	9	5	failures	failure	NOUN
fcis-9673	9	6	,	,	PUNCT
fcis-9673	9	7	most	most	ADJ
fcis-9673	9	8	of	of	ADP
fcis-9673	9	9	them	they	PRON
fcis-9673	9	10	are	be	AUX
fcis-9673	9	11	caused	cause	VERB
fcis-9673	9	12	by	by	ADP
fcis-9673	9	13	bearing	bear	VERB
fcis-9673	9	14	failure	failure	NOUN
fcis-9673	9	15	,	,	PUNCT
fcis-9673	9	16	while	while	SCONJ
fcis-9673	9	17	the	the	DET
fcis-9673	9	18	failure	failure	NOUN
fcis-9673	9	19	of	of	ADP
fcis-9673	9	20	rolling	rolling	ADJ
fcis-9673	9	21	bearings	bearing	NOUN
fcis-9673	9	22	is	be	AUX
fcis-9673	9	23	unavoidable	unavoidable	ADJ
fcis-9673	9	24	,	,	PUNCT
fcis-9673	9	25	once	once	SCONJ
fcis-9673	9	26	the	the	DET
fcis-9673	9	27	failure	failure	NOUN
fcis-9673	9	28	,	,	PUNCT
fcis-9673	9	29	may	may	AUX
fcis-9673	9	30	lead	lead	VERB
fcis-9673	9	31	to	to	ADP
fcis-9673	9	32	mechanical	mechanical	ADJ
fcis-9673	9	33	system	system	NOUN
fcis-9673	9	34	failure	failure	NOUN
fcis-9673	9	35	and	and	CCONJ
fcis-9673	9	36	unexpected	unexpected	ADJ
fcis-9673	9	37	safety	safety	NOUN
fcis-9673	9	38	problems	problem	NOUN
fcis-9673	9	39	,	,	PUNCT
fcis-9673	9	40	such	such	ADJ
fcis-9673	9	41	as	as	ADP
fcis-9673	9	42	huge	huge	ADJ
fcis-9673	9	43	economic	economic	ADJ
fcis-9673	9	44	losses	loss	NOUN
fcis-9673	9	45	and	and	CCONJ
fcis-9673	9	46	casualties	casualty	NOUN
fcis-9673	9	47	.	.	PUNCT
fcis-9673	10	1	under	under	ADP
fcis-9673	10	2	normal	normal	ADJ
fcis-9673	10	3	circumstances	circumstance	NOUN
fcis-9673	10	4	,	,	PUNCT
fcis-9673	10	5	when	when	SCONJ
fcis-9673	10	6	the	the	DET
fcis-9673	10	7	bearing	bearing	NOUN
fcis-9673	10	8	is	be	AUX
fcis-9673	10	9	in	in	ADP
fcis-9673	10	10	the	the	DET
fcis-9673	10	11	early	early	ADJ
fcis-9673	10	12	stage	stage	NOUN
fcis-9673	10	13	of	of	ADP
fcis-9673	10	14	failure	failure	NOUN
fcis-9673	10	15	,	,	PUNCT
fcis-9673	10	16	the	the	DET
fcis-9673	10	17	fault	fault	NOUN
fcis-9673	10	18	is	be	AUX
fcis-9673	10	19	not	not	PART
fcis-9673	10	20	very	very	ADV
fcis-9673	10	21	obvious	obvious	ADJ
fcis-9673	10	22	that	that	SCONJ
fcis-9673	10	23	the	the	DET
fcis-9673	10	24	mechanical	mechanical	ADJ
fcis-9673	10	25	equipment	equipment	NOUN
fcis-9673	10	26	can	can	AUX
fcis-9673	10	27	still	still	ADV
fcis-9673	10	28	operate	operate	VERB
fcis-9673	10	29	normally	normally	ADV
fcis-9673	10	30	,	,	PUNCT
fcis-9673	10	31	but	but	CCONJ
fcis-9673	10	32	if	if	SCONJ
fcis-9673	10	33	the	the	DET
fcis-9673	10	34	bearing	bearing	NOUN
fcis-9673	10	35	diagnosis	diagnosis	NOUN
fcis-9673	10	36	is	be	AUX
fcis-9673	10	37	not	not	PART
fcis-9673	10	38	handled	handle	VERB
fcis-9673	10	39	in	in	ADP
fcis-9673	10	40	advance	advance	NOUN
fcis-9673	10	41	,	,	PUNCT
fcis-9673	10	42	it	it	PRON
fcis-9673	10	43	will	will	AUX
fcis-9673	10	44	have	have	VERB
fcis-9673	10	45	serious	serious	ADJ
fcis-9673	10	46	consequences	consequence	NOUN
fcis-9673	10	47	.	.	PUNCT
fcis-9673	11	1	therefore	therefore	ADV
fcis-9673	11	2	,	,	PUNCT
fcis-9673	11	3	early	early	ADV
fcis-9673	11	4	bearing	bear	VERB
fcis-9673	11	5	fault	fault	NOUN
fcis-9673	11	6	diagnosis	diagnosis	NOUN
fcis-9673	11	7	is	be	AUX
fcis-9673	11	8	very	very	ADV
fcis-9673	11	9	important	important	ADJ
fcis-9673	11	10	in	in	ADP
fcis-9673	11	11	industrial	industrial	ADJ
fcis-9673	11	12	production	production	NOUN
fcis-9673	11	13	.	.	PUNCT
fcis-9673	12	1	in	in	ADP
fcis-9673	12	2	recent	recent	ADJ
fcis-9673	12	3	years	year	NOUN
fcis-9673	12	4	,	,	PUNCT
fcis-9673	12	5	deep	deep	ADJ
fcis-9673	12	6	learning	learning	NOUN
fcis-9673	12	7	technology	technology	NOUN
fcis-9673	12	8	has	have	AUX
fcis-9673	12	9	been	be	AUX
fcis-9673	12	10	widely	widely	ADV
fcis-9673	12	11	studied	study	VERB
fcis-9673	12	12	in	in	ADP
fcis-9673	12	13	rolling	rolling	ADJ
fcis-9673	12	14	bearing	bear	VERB
fcis-9673	12	15	fault	fault	NOUN
fcis-9673	12	16	diagnosis	diagnosis	NOUN
fcis-9673	12	17	and	and	CCONJ
fcis-9673	12	18	achieved	achieve	VERB
fcis-9673	12	19	good	good	ADJ
fcis-9673	12	20	results	result	NOUN
fcis-9673	12	21	.	.	PUNCT
fcis-9673	13	1	more	more	ADJ
fcis-9673	13	2	and	and	CCONJ
fcis-9673	13	3	more	more	ADV
fcis-9673	13	4	deep	deep	ADJ
fcis-9673	13	5	learning	learning	NOUN
fcis-9673	13	6	methods	method	NOUN
fcis-9673	13	7	are	be	AUX
fcis-9673	13	8	applied	apply	VERB
fcis-9673	13	9	in	in	ADP
fcis-9673	13	10	the	the	DET
fcis-9673	13	11	field	field	NOUN
fcis-9673	13	12	of	of	ADP
fcis-9673	13	13	mechanical	mechanical	ADJ
fcis-9673	13	14	fault	fault	NOUN
fcis-9673	13	15	diagnosis	diagnosis	NOUN
fcis-9673	13	16	.	.	PUNCT
fcis-9673	14	1	at	at	ADP
fcis-9673	14	2	the	the	DET
fcis-9673	14	3	same	same	ADJ
fcis-9673	14	4	time	time	NOUN
fcis-9673	14	5	,	,	PUNCT
fcis-9673	14	6	many	many	ADJ
fcis-9673	14	7	scholars	scholar	NOUN
fcis-9673	14	8	have	have	AUX
fcis-9673	14	9	successfully	successfully	ADV
fcis-9673	14	10	completed	complete	VERB
fcis-9673	14	11	various	various	ADJ
fcis-9673	14	12	diagnostic	diagnostic	ADJ
fcis-9673	14	13	tasks	task	NOUN
fcis-9673	14	14	by	by	ADP
fcis-9673	14	15	using	use	VERB
fcis-9673	14	16	machine	machine	NOUN
fcis-9673	14	17	learning	learning	NOUN
fcis-9673	14	18	methods	method	NOUN
fcis-9673	14	19	.	.	PUNCT
fcis-9673	15	1	for	for	ADP
fcis-9673	15	2	example	example	NOUN
fcis-9673	15	3	,	,	PUNCT
fcis-9673	15	4	shao	shao	PROPN
fcis-9673	15	5	haidong	haidong	PROPN
fcis-9673	15	6	proposed	propose	VERB
fcis-9673	15	7	a	a	DET
fcis-9673	15	8	novel	novel	ADJ
fcis-9673	15	9	method	method	NOUN
fcis-9673	15	10	for	for	ADP
fcis-9673	15	11	intelligent	intelligent	ADJ
fcis-9673	15	12	fault	fault	NOUN
fcis-9673	15	13	diagnosis	diagnosis	NOUN
fcis-9673	15	14	of	of	ADP
fcis-9673	15	15	rolling	rolling	ADJ
fcis-9673	15	16	bearings	bearing	NOUN
fcis-9673	15	17	using	use	VERB
fcis-9673	15	18	ensemble	ensemble	ADJ
fcis-9673	15	19	deep	deep	ADJ
fcis-9673	15	20	auto	auto	NOUN
fcis-9673	15	21	-	-	PUNCT
fcis-9673	15	22	encoders[1	encoders[1	NOUN
fcis-9673	15	23	]	]	X
fcis-9673	15	24	.	.	PUNCT
fcis-9673	16	1	a	a	DET
fcis-9673	16	2	series	series	NOUN
fcis-9673	16	3	of	of	ADP
fcis-9673	16	4	autoencoders	autoencoder	NOUN
fcis-9673	16	5	with	with	ADP
fcis-9673	16	6	different	different	ADJ
fcis-9673	16	7	characteristics	characteristic	NOUN
fcis-9673	16	8	are	be	AUX
fcis-9673	16	9	designed	design	VERB
fcis-9673	16	10	to	to	PART
fcis-9673	16	11	get	get	AUX
fcis-9673	16	12	rid	rid	VERB
fcis-9673	16	13	of	of	ADP
fcis-9673	16	14	the	the	DET
fcis-9673	16	15	dependence	dependence	NOUN
fcis-9673	16	16	on	on	ADP
fcis-9673	16	17	artificial	artificial	ADJ
fcis-9673	16	18	feature	feature	NOUN
fcis-9673	16	19	extraction	extraction	NOUN
fcis-9673	16	20	and	and	CCONJ
fcis-9673	16	21	expert	expert	NOUN
fcis-9673	16	22	experience	experience	NOUN
fcis-9673	16	23	,	,	PUNCT
fcis-9673	16	24	and	and	CCONJ
fcis-9673	16	25	the	the	DET
fcis-9673	16	26	vibration	vibration	NOUN
fcis-9673	16	27	signal	signal	NOUN
fcis-9673	16	28	reduces	reduce	VERB
fcis-9673	16	29	the	the	DET
fcis-9673	16	30	human	human	ADJ
fcis-9673	16	31	intervention	intervention	NOUN
fcis-9673	16	32	.	.	PUNCT
fcis-9673	17	1	the	the	DET
fcis-9673	17	2	experimental	experimental	ADJ
fcis-9673	17	3	results	result	NOUN
fcis-9673	17	4	show	show	VERB
fcis-9673	17	5	that	that	SCONJ
fcis-9673	17	6	the	the	DET
fcis-9673	17	7	method	method	NOUN
fcis-9673	17	8	greatly	greatly	ADV
fcis-9673	17	9	improves	improve	VERB
fcis-9673	17	10	the	the	DET
fcis-9673	17	11	efficiency	efficiency	NOUN
fcis-9673	17	12	of	of	ADP
fcis-9673	17	13	rolling	roll	VERB
fcis-9673	17	14	bearing	bear	VERB
fcis-9673	17	15	fault	fault	NOUN
fcis-9673	17	16	diagnosis	diagnosis	NOUN
fcis-9673	17	17	.	.	PUNCT
fcis-9673	18	1	liu	liu	PROPN
fcis-9673	18	2	et	et	PROPN
fcis-9673	18	3	al	al	PROPN
fcis-9673	18	4	.	.	PUNCT
fcis-9673	19	1	[	[	X
fcis-9673	19	2	2	2	X
fcis-9673	19	3	]	]	PUNCT
fcis-9673	19	4	proposed	propose	VERB
fcis-9673	19	5	a	a	DET
fcis-9673	19	6	fault	fault	NOUN
fcis-9673	19	7	diagnosis	diagnosis	NOUN
fcis-9673	19	8	model	model	NOUN
fcis-9673	19	9	of	of	ADP
fcis-9673	19	10	transfer	transfer	NOUN
fcis-9673	19	11	learning	learning	NOUN
fcis-9673	19	12	based	base	VERB
fcis-9673	19	13	on	on	ADP
fcis-9673	19	14	wasserstein	wasserstein	NOUN
fcis-9673	19	15	-	-	PUNCT
fcis-9673	19	16	generated	generate	VERB
fcis-9673	19	17	adversarial	adversarial	ADJ
fcis-9673	19	18	networks	network	NOUN
fcis-9673	19	19	with	with	ADP
fcis-9673	19	20	deep	deep	ADJ
fcis-9673	19	21	full	full	ADJ
fcis-9673	19	22	convolution	convolution	NOUN
fcis-9673	19	23	conditions	condition	NOUN
fcis-9673	19	24	,	,	PUNCT
fcis-9673	19	25	and	and	CCONJ
fcis-9673	19	26	mapped	map	VERB
fcis-9673	19	27	class	class	NOUN
fcis-9673	19	28	labels	label	NOUN
fcis-9673	19	29	to	to	PART
fcis-9673	19	30	source	source	VERB
fcis-9673	19	31	domain	domain	NOUN
fcis-9673	19	32	data	datum	NOUN
fcis-9673	19	33	through	through	ADP
fcis-9673	19	34	a	a	DET
fcis-9673	19	35	matrix	matrix	NOUN
fcis-9673	19	36	,	,	PUNCT
fcis-9673	19	37	which	which	PRON
fcis-9673	19	38	not	not	PART
fcis-9673	19	39	only	only	ADV
fcis-9673	19	40	enhanced	enhance	VERB
fcis-9673	19	41	the	the	DET
fcis-9673	19	42	supervision	supervision	NOUN
fcis-9673	19	43	of	of	ADP
fcis-9673	19	44	the	the	DET
fcis-9673	19	45	learning	learning	NOUN
fcis-9673	19	46	process	process	NOUN
fcis-9673	19	47	,	,	PUNCT
fcis-9673	19	48	but	but	CCONJ
fcis-9673	19	49	also	also	ADV
fcis-9673	19	50	enhanced	enhance	VERB
fcis-9673	19	51	the	the	DET
fcis-9673	19	52	effect	effect	NOUN
fcis-9673	19	53	of	of	ADP
fcis-9673	19	54	class	class	NOUN
fcis-9673	19	55	domain	domain	NOUN
fcis-9673	19	56	alignment	alignment	NOUN
fcis-9673	19	57	.	.	PUNCT
fcis-9673	20	1	chen	chen	PROPN
fcis-9673	20	2	et	et	PROPN
fcis-9673	20	3	al	al	PROPN
fcis-9673	20	4	.	.	PUNCT
fcis-9673	21	1	[	[	X
fcis-9673	21	2	3	3	X
fcis-9673	21	3	]	]	PUNCT
fcis-9673	21	4	put	put	VERB
fcis-9673	21	5	forward	forward	ADV
fcis-9673	21	6	wavelet	wavelet	NOUN
fcis-9673	21	7	analysis	analysis	NOUN
fcis-9673	21	8	and	and	CCONJ
fcis-9673	21	9	verified	verify	VERB
fcis-9673	21	10	the	the	DET
fcis-9673	21	11	essence	essence	NOUN
fcis-9673	21	12	of	of	ADP
fcis-9673	21	13	inner	inner	ADJ
fcis-9673	21	14	product	product	NOUN
fcis-9673	21	15	operation	operation	NOUN
fcis-9673	21	16	of	of	ADP
fcis-9673	21	17	wavelet	wavelet	NOUN
fcis-9673	21	18	transform	transform	VERB
fcis-9673	21	19	through	through	ADP
fcis-9673	21	20	simulation	simulation	NOUN
fcis-9673	21	21	and	and	CCONJ
fcis-9673	21	22	field	field	NOUN
fcis-9673	21	23	experiments	experiment	NOUN
fcis-9673	21	24	.	.	PUNCT
fcis-9673	22	1	zhang	zhang	PROPN
fcis-9673	22	2	et	et	PROPN
fcis-9673	22	3	al	al	PROPN
fcis-9673	22	4	.	.	PUNCT
fcis-9673	23	1	[	[	X
fcis-9673	23	2	4	4	X
fcis-9673	23	3	]	]	X
fcis-9673	23	4	propose	propose	VERB
fcis-9673	23	5	a	a	DET
fcis-9673	23	6	new	new	ADJ
fcis-9673	23	7	deep	deep	ADJ
fcis-9673	23	8	learning	learning	NOUN
fcis-9673	23	9	model	model	NOUN
fcis-9673	23	10	for	for	ADP
fcis-9673	23	11	fault	fault	NOUN
fcis-9673	23	12	diagno	diagno	NOUN
fcis-9673	23	13	sis	sis	NOUN
fcis-9673	23	14	with	with	ADP
fcis-9673	23	15	good	good	ADJ
fcis-9673	23	16	antinoise	antinoise	ADV
fcis-9673	23	17	and	and	CCONJ
fcis-9673	23	18	domain	domain	VERB
fcis-9673	23	19	adaptation	adaptation	NOUN
fcis-9673	23	20	ability	ability	NOUN
fcis-9673	23	21	on	on	ADP
fcis-9673	23	22	raw	raw	ADJ
fcis-9673	23	23	vibration	vibration	NOUN
fcis-9673	23	24	signals	signal	NOUN
fcis-9673	23	25	,	,	PUNCT
fcis-9673	23	26	which	which	PRON
fcis-9673	23	27	uses	use	VERB
fcis-9673	23	28	the	the	DET
fcis-9673	23	29	original	original	ADJ
fcis-9673	23	30	vibration	vibration	NOUN
fcis-9673	23	31	signal	signal	NOUN
fcis-9673	23	32	as	as	ADP
fcis-9673	23	33	input	input	NOUN
fcis-9673	23	34	(	(	PUNCT
fcis-9673	23	35	using	use	VERB
fcis-9673	23	36	data	data	NOUN
fcis-9673	23	37	enhancement	enhancement	NOUN
fcis-9673	23	38	to	to	PART
fcis-9673	23	39	generate	generate	VERB
fcis-9673	23	40	more	more	ADJ
fcis-9673	23	41	input	input	NOUN
fcis-9673	23	42	)	)	PUNCT
fcis-9673	23	43	and	and	CCONJ
fcis-9673	23	44	uses	use	VERB
fcis-9673	23	45	the	the	DET
fcis-9673	23	46	wide	wide	ADJ
fcis-9673	23	47	kernel	kernel	NOUN
fcis-9673	23	48	of	of	ADP
fcis-9673	23	49	the	the	DET
fcis-9673	23	50	first	first	ADJ
fcis-9673	23	51	convolution	convolution	NOUN
fcis-9673	23	52	layer	layer	NOUN
fcis-9673	23	53	to	to	PART
fcis-9673	23	54	extract	extract	VERB
fcis-9673	23	55	features	feature	NOUN
fcis-9673	23	56	and	and	CCONJ
fcis-9673	23	57	suppress	suppress	ADJ
fcis-9673	23	58	highfrequency	highfrequency	NOUN
fcis-9673	23	59	noise	noise	NOUN
fcis-9673	23	60	.	.	PUNCT
fcis-9673	24	1	in	in	ADP
fcis-9673	24	2	order	order	NOUN
fcis-9673	24	3	to	to	PART
fcis-9673	24	4	improve	improve	VERB
fcis-9673	24	5	the	the	DET
fcis-9673	24	6	domain	domain	NOUN
fcis-9673	24	7	adaptability	adaptability	NOUN
fcis-9673	24	8	of	of	ADP
fcis-9673	24	9	the	the	DET
fcis-9673	24	10	model	model	NOUN
fcis-9673	24	11	,	,	PUNCT
fcis-9673	24	12	adabn	adabn	NOUN
fcis-9673	24	13	is	be	AUX
fcis-9673	24	14	introduced	introduce	VERB
fcis-9673	24	15	to	to	PART
fcis-9673	24	16	solve	solve	VERB
fcis-9673	24	17	the	the	DET
fcis-9673	24	18	problem	problem	NOUN
fcis-9673	24	19	that	that	SCONJ
fcis-9673	24	20	the	the	DET
fcis-9673	24	21	accuracy	accuracy	NOUN
fcis-9673	24	22	of	of	ADP
fcis-9673	24	23	fault	fault	NOUN
fcis-9673	24	24	diagnosis	diagnosis	NOUN
fcis-9673	24	25	used	use	VERB
fcis-9673	24	26	by	by	ADP
fcis-9673	24	27	cnn	cnn	PROPN
fcis-9673	24	28	is	be	AUX
fcis-9673	24	29	not	not	PART
fcis-9673	24	30	high	high	ADJ
fcis-9673	24	31	.	.	PUNCT
fcis-9673	25	1	li	li	PROPN
fcis-9673	25	2	et	et	PROPN
fcis-9673	25	3	al	al	PROPN
fcis-9673	25	4	.	.	PUNCT
fcis-9673	26	1	[	[	X
fcis-9673	26	2	5	5	NUM
fcis-9673	26	3	]	]	PUNCT
fcis-9673	26	4	proposed	propose	VERB
fcis-9673	26	5	a	a	DET
fcis-9673	26	6	fault	fault	NOUN
fcis-9673	26	7	diagnosis	diagnosis	NOUN
fcis-9673	26	8	method	method	NOUN
fcis-9673	26	9	based	base	VERB
fcis-9673	26	10	on	on	ADP
fcis-9673	26	11	short	short	ADJ
fcis-9673	26	12	-	-	PUNCT
fcis-9673	26	13	time	time	NOUN
fcis-9673	26	14	fourier	fourier	NOUN
fcis-9673	26	15	transform	transform	NOUN
fcis-9673	26	16	(	(	PUNCT
fcis-9673	26	17	stft	stft	PROPN
fcis-9673	26	18	)	)	PUNCT
fcis-9673	26	19	and	and	CCONJ
fcis-9673	26	20	convolutional	convolutional	ADJ
fcis-9673	26	21	neural	neural	ADJ
fcis-9673	26	22	network	network	NOUN
fcis-9673	26	23	(	(	PUNCT
fcis-9673	26	24	cnn	cnn	PROPN
fcis-9673	26	25	)	)	PUNCT
fcis-9673	26	26	to	to	PART
fcis-9673	26	27	realize	realize	VERB
fcis-9673	26	28	end	end	VERB
fcis-9673	26	29	-	-	PUNCT
fcis-9673	26	30	to	to	ADP
fcis-9673	26	31	-	-	PUNCT
fcis-9673	26	32	end	end	NOUN
fcis-9673	26	33	fault	fault	NOUN
fcis-9673	26	34	pattern	pattern	NOUN
fcis-9673	26	35	recognition	recognition	NOUN
fcis-9673	26	36	.	.	PUNCT
fcis-9673	27	1	the	the	DET
fcis-9673	27	2	vibration	vibration	NOUN
fcis-9673	27	3	signal	signal	NOUN
fcis-9673	27	4	of	of	ADP
fcis-9673	27	5	rolling	rolling	ADJ
fcis-9673	27	6	bearing	bearing	NOUN
fcis-9673	27	7	is	be	AUX
fcis-9673	27	8	divided	divide	VERB
fcis-9673	27	9	into	into	ADP
fcis-9673	27	10	training	training	NOUN
fcis-9673	27	11	set	set	NOUN
fcis-9673	27	12	and	and	CCONJ
fcis-9673	27	13	test	test	NOUN
fcis-9673	27	14	set	set	VERB
fcis-9673	27	15	by	by	ADP
fcis-9673	27	16	short	short	ADJ
fcis-9673	27	17	-	-	PUNCT
fcis-9673	27	18	time	time	NOUN
fcis-9673	27	19	fourier	fourier	NOUN
fcis-9673	27	20	transform	transform	NOUN
fcis-9673	27	21	.	.	PUNCT
fcis-9673	28	1	then	then	ADV
fcis-9673	28	2	the	the	DET
fcis-9673	28	3	training	training	NOUN
fcis-9673	28	4	set	set	NOUN
fcis-9673	28	5	is	be	AUX
fcis-9673	28	6	entered	enter	VERB
fcis-9673	28	7	into	into	ADP
fcis-9673	28	8	the	the	DET
fcis-9673	28	9	cnn	cnn	PROPN
fcis-9673	28	10	,	,	PUNCT
fcis-9673	28	11	and	and	CCONJ
fcis-9673	28	12	the	the	DET
fcis-9673	28	13	cnn	cnn	PROPN
fcis-9673	28	14	is	be	AUX
fcis-9673	28	15	learned	learn	VERB
fcis-9673	28	16	and	and	CCONJ
fcis-9673	28	17	the	the	DET
fcis-9673	28	18	parameters	parameter	NOUN
fcis-9673	28	19	are	be	AUX
fcis-9673	28	20	updated	update	VERB
fcis-9673	28	21	.	.	PUNCT
fcis-9673	29	1	finally	finally	ADV
fcis-9673	29	2	,	,	PUNCT
fcis-9673	29	3	the	the	DET
fcis-9673	29	4	updated	update	VERB
fcis-9673	29	5	cnn	cnn	PROPN
fcis-9673	29	6	model	model	NOUN
fcis-9673	29	7	is	be	AUX
fcis-9673	29	8	applied	apply	VERB
fcis-9673	29	9	to	to	ADP
fcis-9673	29	10	the	the	DET
fcis-9673	29	11	test	test	NOUN
fcis-9673	29	12	set	set	NOUN
fcis-9673	29	13	,	,	PUNCT
fcis-9673	29	14	and	and	CCONJ
fcis-9673	29	15	the	the	DET
fcis-9673	29	16	result	result	NOUN
fcis-9673	29	17	of	of	ADP
fcis-9673	29	18	fault	fault	NOUN
fcis-9673	29	19	identification	identification	NOUN
fcis-9673	29	20	is	be	AUX
fcis-9673	29	21	output	output	NOUN
fcis-9673	29	22	.	.	PUNCT
fcis-9673	30	1	the	the	DET
fcis-9673	30	2	method	method	NOUN
fcis-9673	30	3	has	have	VERB
fcis-9673	30	4	high	high	ADJ
fcis-9673	30	5	identification	identification	NOUN
fcis-9673	30	6	accuracy	accuracy	NOUN
fcis-9673	30	7	for	for	ADP
fcis-9673	30	8	different	different	ADJ
fcis-9673	30	9	types	type	NOUN
fcis-9673	30	10	of	of	ADP
fcis-9673	30	11	faults	fault	NOUN
fcis-9673	30	12	.	.	PUNCT
fcis-9673	31	1	these	these	DET
fcis-9673	31	2	models	model	NOUN
fcis-9673	31	3	have	have	AUX
fcis-9673	31	4	achieved	achieve	VERB
fcis-9673	31	5	good	good	ADJ
fcis-9673	31	6	results	result	NOUN
fcis-9673	31	7	in	in	ADP
fcis-9673	31	8	the	the	DET
fcis-9673	31	9	field	field	NOUN
fcis-9673	31	10	of	of	ADP
fcis-9673	31	11	bearing	bear	VERB
fcis-9673	31	12	fault	fault	NOUN
fcis-9673	31	13	diagnosis	diagnosis	NOUN
fcis-9673	31	14	.	.	PUNCT
fcis-9673	32	1	however	however	ADV
fcis-9673	32	2	,	,	PUNCT
fcis-9673	32	3	for	for	ADP
fcis-9673	32	4	the	the	DET
fcis-9673	32	5	problem	problem	NOUN
fcis-9673	32	6	of	of	ADP
fcis-9673	32	7	noise	noise	NOUN
fcis-9673	32	8	interference	interference	NOUN
fcis-9673	32	9	,	,	PUNCT
fcis-9673	32	10	this	this	DET
fcis-9673	32	11	paper	paper	NOUN
fcis-9673	32	12	proposes	propose	VERB
fcis-9673	32	13	to	to	PART
fcis-9673	32	14	add	add	VERB
fcis-9673	32	15	a	a	DET
fcis-9673	32	16	convolutional	convolutional	ADJ
fcis-9673	32	17	block	block	NOUN
fcis-9673	32	18	attention	attention	NOUN
fcis-9673	32	19	module	module	NOUN
fcis-9673	32	20	(	(	PUNCT
fcis-9673	32	21	cbam	cbam	NOUN
fcis-9673	32	22	)	)	PUNCT
fcis-9673	32	23	with	with	ADP
fcis-9673	32	24	channel	channel	NOUN
fcis-9673	32	25	attention	attention	NOUN
fcis-9673	32	26	and	and	CCONJ
fcis-9673	32	27	spatial	spatial	ADJ
fcis-9673	32	28	attention	attention	NOUN
fcis-9673	32	29	.	.	PUNCT
fcis-9673	33	1	cbam	cbam	NOUN
fcis-9673	33	2	module	module	NOUN
fcis-9673	33	3	can	can	AUX
fcis-9673	33	4	serialize	serialize	VERB
fcis-9673	33	5	the	the	DET
fcis-9673	33	6	attention	attention	NOUN
fcis-9673	33	7	feature	feature	NOUN
fcis-9673	33	8	map	map	NOUN
fcis-9673	33	9	information	information	NOUN
fcis-9673	33	10	in	in	ADP
fcis-9673	33	11	both	both	DET
fcis-9673	33	12	channel	channel	NOUN
fcis-9673	33	13	and	and	CCONJ
fcis-9673	33	14	space	space	NOUN
fcis-9673	33	15	dimensions	dimension	NOUN
fcis-9673	33	16	,	,	PUNCT
fcis-9673	33	17	and	and	CCONJ
fcis-9673	33	18	then	then	ADV
fcis-9673	33	19	multiply	multiply	VERB
fcis-9673	33	20	the	the	DET
fcis-9673	33	21	two	two	NUM
fcis-9673	33	22	-	-	PUNCT
fcis-9673	33	23	feature	feature	NOUN
fcis-9673	33	24	map	map	NOUN
fcis-9673	33	25	information	information	NOUN
fcis-9673	33	26	with	with	ADP
fcis-9673	33	27	the	the	DET
fcis-9673	33	28	original	original	ADJ
fcis-9673	33	29	input	input	NOUN
fcis-9673	33	30	feature	feature	NOUN
fcis-9673	33	31	map	map	NOUN
fcis-9673	33	32	for	for	ADP
fcis-9673	33	33	adaptive	adaptive	ADJ
fcis-9673	33	34	feature	feature	NOUN
fcis-9673	33	35	correction	correction	NOUN
fcis-9673	33	36	to	to	PART
fcis-9673	33	37	generate	generate	VERB
fcis-9673	33	38	a	a	DET
fcis-9673	33	39	better	well	ADJ
fcis-9673	33	40	feature	feature	NOUN
fcis-9673	33	41	map	map	NOUN
fcis-9673	33	42	.	.	PUNCT
fcis-9673	34	1	meanwhile	meanwhile	ADV
fcis-9673	34	2	,	,	PUNCT
fcis-9673	34	3	cbam	cbam	NOUN
fcis-9673	34	4	has	have	VERB
fcis-9673	34	5	a	a	DET
fcis-9673	34	6	good	good	ADJ
fcis-9673	34	7	image	image	NOUN
fcis-9673	34	8	classification	classification	NOUN
fcis-9673	34	9	effect	effect	NOUN
fcis-9673	34	10	in	in	ADP
fcis-9673	34	11	processing	process	VERB
fcis-9673	34	12	image	image	NOUN
fcis-9673	34	13	problems	problem	NOUN
fcis-9673	34	14	.	.	PUNCT
fcis-9673	35	1	based	base	VERB
fcis-9673	35	2	on	on	ADP
fcis-9673	35	3	this	this	PRON
fcis-9673	35	4	,	,	PUNCT
fcis-9673	35	5	the	the	DET
fcis-9673	35	6	onedimensional	onedimensional	ADJ
fcis-9673	35	7	signal	signal	NOUN
fcis-9673	35	8	is	be	AUX
fcis-9673	35	9	processed	process	VERB
fcis-9673	35	10	by	by	ADP
fcis-9673	35	11	continuous	continuous	ADJ
fcis-9673	35	12	wavelet	wavelet	NOUN
fcis-9673	35	13	transform	transform	NOUN
fcis-9673	35	14	(	(	PUNCT
fcis-9673	35	15	cwt	cwt	NOUN
fcis-9673	35	16	)	)	PUNCT
fcis-9673	35	17	,	,	PUNCT
fcis-9673	35	18	and	and	CCONJ
fcis-9673	35	19	the	the	DET
fcis-9673	35	20	signal	signal	ADJ
fcis-9673	35	21	recognition	recognition	NOUN
fcis-9673	35	22	of	of	ADP
fcis-9673	35	23	case	case	NOUN
fcis-9673	35	24	western	western	ADJ
fcis-9673	35	25	storage	storage	NOUN
fcis-9673	35	26	bearing	bear	VERB
fcis-9673	35	27	fault	fault	NOUN
fcis-9673	35	28	is	be	AUX
fcis-9673	35	29	converted	convert	VERB
fcis-9673	35	30	into	into	ADP
fcis-9673	35	31	the	the	DET
fcis-9673	35	32	image	image	NOUN
fcis-9673	35	33	recognition	recognition	NOUN
fcis-9673	35	34	of	of	ADP
fcis-9673	35	35	the	the	DET
fcis-9673	35	36	time	time	NOUN
fcis-9673	35	37	frequency	frequency	NOUN
fcis-9673	35	38	for	for	ADP
fcis-9673	35	39	classification	classification	NOUN
fcis-9673	35	40	.	.	PUNCT
fcis-9673	36	1	in	in	ADP
fcis-9673	36	2	order	order	NOUN
fcis-9673	36	3	to	to	PART
fcis-9673	36	4	alleviate	alleviate	VERB
fcis-9673	36	5	the	the	DET
fcis-9673	36	6	problem	problem	NOUN
fcis-9673	36	7	of	of	ADP
fcis-9673	36	8	noise	noise	NOUN
fcis-9673	36	9	interference	interference	NOUN
fcis-9673	36	10	,	,	PUNCT
fcis-9673	36	11	the	the	DET
fcis-9673	36	12	residual	residual	ADJ
fcis-9673	36	13	network	network	NOUN
fcis-9673	36	14	module	module	NOUN
fcis-9673	36	15	combined	combine	VERB
fcis-9673	36	16	with	with	ADP
fcis-9673	36	17	attention	attention	NOUN
fcis-9673	36	18	mechanism	mechanism	NOUN
fcis-9673	36	19	can	can	AUX
fcis-9673	36	20	better	well	ADV
fcis-9673	36	21	capture	capture	VERB
fcis-9673	36	22	the	the	DET
fcis-9673	36	23	global	global	ADJ
fcis-9673	36	24	information	information	NOUN
fcis-9673	36	25	of	of	ADP
fcis-9673	36	26	time	time	NOUN
fcis-9673	36	27	frequency	frequency	NOUN
fcis-9673	36	28	graph	graph	NOUN
fcis-9673	36	29	,	,	PUNCT
fcis-9673	36	30	and	and	CCONJ
fcis-9673	36	31	make	make	VERB
fcis-9673	36	32	up	up	ADP
fcis-9673	36	33	for	for	ADP
fcis-9673	36	34	the	the	DET
fcis-9673	36	35	defects	defect	NOUN
fcis-9673	36	36	of	of	ADP
fcis-9673	36	37	the	the	DET
fcis-9673	36	38	residual	residual	ADJ
fcis-9673	36	39	network	network	NOUN
fcis-9673	36	40	module	module	NOUN
fcis-9673	36	41	.	.	PUNCT
fcis-9673	37	1	compared	compare	VERB
fcis-9673	37	2	with	with	ADP
fcis-9673	37	3	traditional	traditional	ADJ
fcis-9673	37	4	fault	fault	NOUN
fcis-9673	37	5	diagnosis	diagnosis	NOUN
fcis-9673	37	6	methods	method	NOUN
fcis-9673	37	7	,	,	PUNCT
fcis-9673	37	8	the	the	DET
fcis-9673	37	9	above	above	ADJ
fcis-9673	37	10	methods	method	NOUN
fcis-9673	37	11	still	still	ADV
fcis-9673	37	12	have	have	VERB
fcis-9673	37	13	great	great	ADJ
fcis-9673	37	14	improvement	improvement	NOUN
fcis-9673	37	15	in	in	ADP
fcis-9673	37	16	detection	detection	NOUN
fcis-9673	37	17	accuracy	accuracy	NOUN
fcis-9673	37	18	,	,	PUNCT
fcis-9673	37	19	model	model	NOUN
fcis-9673	37	20	training	training	NOUN
fcis-9673	37	21	convergence	convergence	NOUN
fcis-9673	37	22	speed	speed	NOUN
fcis-9673	37	23	and	and	CCONJ
fcis-9673	37	24	detection	detection	NOUN
fcis-9673	37	25	of	of	ADP
fcis-9673	37	26	bearing	bear	VERB
fcis-9673	37	27	2	2	NUM
fcis-9673	37	28	vibration	vibration	NOUN
fcis-9673	37	29	signals	signal	NOUN
fcis-9673	37	30	mixed	mix	VERB
fcis-9673	37	31	with	with	ADP
fcis-9673	37	32	noise	noise	NOUN
fcis-9673	37	33	.	.	PUNCT
fcis-9673	38	1	2	2	X
fcis-9673	38	2	.	.	X
fcis-9673	38	3	related	relate	VERB
fcis-9673	38	4	work	work	NOUN
fcis-9673	38	5	2.1	2.1	NUM
fcis-9673	38	6	.	.	PUNCT
fcis-9673	39	1	resnet	resnet	VERB
fcis-9673	39	2	with	with	ADP
fcis-9673	39	3	the	the	DET
fcis-9673	39	4	deepening	deepening	NOUN
fcis-9673	39	5	of	of	ADP
fcis-9673	39	6	the	the	DET
fcis-9673	39	7	number	number	NOUN
fcis-9673	39	8	of	of	ADP
fcis-9673	39	9	layers	layer	NOUN
fcis-9673	39	10	of	of	ADP
fcis-9673	39	11	convolutional	convolutional	ADJ
fcis-9673	39	12	neural	neural	ADJ
fcis-9673	39	13	networks	network	NOUN
fcis-9673	39	14	,	,	PUNCT
fcis-9673	39	15	the	the	DET
fcis-9673	39	16	fitting	fitting	ADJ
fcis-9673	39	17	ability	ability	NOUN
fcis-9673	39	18	can	can	AUX
fcis-9673	39	19	be	be	AUX
fcis-9673	39	20	improved	improve	VERB
fcis-9673	39	21	,	,	PUNCT
fcis-9673	39	22	but	but	CCONJ
fcis-9673	39	23	in	in	ADP
fcis-9673	39	24	practical	practical	ADJ
fcis-9673	39	25	applications	application	NOUN
fcis-9673	39	26	,	,	PUNCT
fcis-9673	39	27	the	the	DET
fcis-9673	39	28	number	number	NOUN
fcis-9673	39	29	of	of	ADP
fcis-9673	39	30	layers	layer	NOUN
fcis-9673	39	31	of	of	ADP
fcis-9673	39	32	the	the	DET
fcis-9673	39	33	network	network	NOUN
fcis-9673	39	34	will	will	AUX
fcis-9673	39	35	decrease	decrease	VERB
fcis-9673	39	36	,	,	PUNCT
fcis-9673	39	37	and	and	CCONJ
fcis-9673	39	38	even	even	ADV
fcis-9673	39	39	gradient	gradient	ADJ
fcis-9673	39	40	disappearance	disappearance	NOUN
fcis-9673	39	41	or	or	CCONJ
fcis-9673	39	42	explosion	explosion	NOUN
fcis-9673	39	43	problem	problem	NOUN
fcis-9673	39	44	will	will	AUX
fcis-9673	39	45	occur	occur	VERB
fcis-9673	39	46	.	.	PUNCT
fcis-9673	40	1	to	to	PART
fcis-9673	40	2	solve	solve	VERB
fcis-9673	40	3	this	this	DET
fcis-9673	40	4	problem	problem	NOUN
fcis-9673	40	5	,	,	PUNCT
fcis-9673	40	6	he	he	PRON
fcis-9673	40	7	keming	keming	AUX
fcis-9673	40	8	proposed	propose	VERB
fcis-9673	40	9	deep	deep	ADJ
fcis-9673	40	10	residual	residual	ADJ
fcis-9673	40	11	network	network	NOUN
fcis-9673	40	12	(	(	PUNCT
fcis-9673	40	13	resnet	resnet	NOUN
fcis-9673	40	14	)	)	PUNCT
fcis-9673	40	15	in	in	ADP
fcis-9673	40	16	2015	2015	NUM
fcis-9673	40	17	[	[	X
fcis-9673	40	18	6	6	NUM
fcis-9673	40	19	]	]	PUNCT
fcis-9673	40	20	,	,	PUNCT
fcis-9673	40	21	which	which	PRON
fcis-9673	40	22	avoids	avoid	VERB
fcis-9673	40	23	the	the	DET
fcis-9673	40	24	defect	defect	NOUN
fcis-9673	40	25	of	of	ADP
fcis-9673	40	26	gradient	gradient	ADJ
fcis-9673	40	27	disappearance	disappearance	NOUN
fcis-9673	40	28	or	or	CCONJ
fcis-9673	40	29	gradient	gradient	NOUN
fcis-9673	40	30	explosion	explosion	NOUN
fcis-9673	40	31	in	in	ADP
fcis-9673	40	32	neural	neural	ADJ
fcis-9673	40	33	networks	network	NOUN
fcis-9673	40	34	with	with	ADP
fcis-9673	40	35	the	the	DET
fcis-9673	40	36	deepening	deepening	NOUN
fcis-9673	40	37	of	of	ADP
fcis-9673	40	38	network	network	NOUN
fcis-9673	40	39	layers	layer	NOUN
fcis-9673	40	40	.	.	PUNCT
fcis-9673	41	1	at	at	ADP
fcis-9673	41	2	present	present	ADJ
fcis-9673	41	3	,	,	PUNCT
fcis-9673	41	4	resnet	resnet	NOUN
fcis-9673	41	5	has	have	AUX
fcis-9673	41	6	been	be	AUX
fcis-9673	41	7	widely	widely	ADV
fcis-9673	41	8	used	use	VERB
fcis-9673	41	9	in	in	ADP
fcis-9673	41	10	image	image	NOUN
fcis-9673	41	11	processing	processing	NOUN
fcis-9673	41	12	.	.	PUNCT
fcis-9673	42	1	the	the	DET
fcis-9673	42	2	residual	residual	ADJ
fcis-9673	42	3	network	network	NOUN
fcis-9673	42	4	structure	structure	NOUN
fcis-9673	42	5	is	be	AUX
fcis-9673	42	6	shown	show	VERB
fcis-9673	42	7	in	in	ADP
fcis-9673	42	8	figure	figure	NOUN
fcis-9673	42	9	1	1	NUM
fcis-9673	42	10	.	.	PUNCT
fcis-9673	42	11	fig	fig	NOUN
fcis-9673	42	12	1	1	NUM
fcis-9673	42	13	.	.	PUNCT
fcis-9673	42	14	resnet	resnet	ADJ
fcis-9673	42	15	residual	residual	ADJ
fcis-9673	42	16	structure	structure	NOUN
fcis-9673	42	17	the	the	DET
fcis-9673	42	18	structure	structure	NOUN
fcis-9673	42	19	of	of	ADP
fcis-9673	42	20	resnet	resnet	NOUN
fcis-9673	42	21	is	be	AUX
fcis-9673	42	22	shown	show	VERB
fcis-9673	42	23	in	in	ADP
fcis-9673	42	24	the	the	DET
fcis-9673	42	25	figure	figure	NOUN
fcis-9673	42	26	.	.	PUNCT
fcis-9673	43	1	the	the	DET
fcis-9673	43	2	input	input	NOUN
fcis-9673	43	3	of	of	ADP
fcis-9673	43	4	the	the	DET
fcis-9673	43	5	neural	neural	ADJ
fcis-9673	43	6	network	network	NOUN
fcis-9673	43	7	is	be	AUX
fcis-9673	43	8	x	x	NOUN
fcis-9673	43	9	,	,	PUNCT
fcis-9673	43	10	f(x	f(x	PROPN
fcis-9673	43	11	)	)	PUNCT
fcis-9673	43	12	is	be	AUX
fcis-9673	43	13	the	the	DET
fcis-9673	43	14	residual	residual	ADJ
fcis-9673	43	15	function	function	NOUN
fcis-9673	43	16	,	,	PUNCT
fcis-9673	43	17	and	and	CCONJ
fcis-9673	43	18	the	the	DET
fcis-9673	43	19	output	output	NOUN
fcis-9673	43	20	is	be	AUX
fcis-9673	43	21	h(x)=f(x)+x	h(x)=f(x)+x	PROPN
fcis-9673	43	22	;	;	PUNCT
fcis-9673	43	23	the	the	DET
fcis-9673	43	24	residual	residual	ADJ
fcis-9673	43	25	network	network	NOUN
fcis-9673	43	26	can	can	AUX
fcis-9673	43	27	be	be	AUX
fcis-9673	43	28	connected	connect	VERB
fcis-9673	43	29	with	with	ADP
fcis-9673	43	30	the	the	DET
fcis-9673	43	31	input	input	NOUN
fcis-9673	43	32	and	and	CCONJ
fcis-9673	43	33	output	output	NOUN
fcis-9673	43	34	of	of	ADP
fcis-9673	43	35	different	different	ADJ
fcis-9673	43	36	layers	layer	NOUN
fcis-9673	43	37	through	through	ADP
fcis-9673	43	38	the	the	DET
fcis-9673	43	39	cross	cross	ADJ
fcis-9673	43	40	-	-	ADJ
fcis-9673	43	41	layer	layer	ADJ
fcis-9673	43	42	connection	connection	NOUN
fcis-9673	43	43	structure	structure	NOUN
fcis-9673	43	44	,	,	PUNCT
fcis-9673	43	45	so	so	SCONJ
fcis-9673	43	46	that	that	SCONJ
fcis-9673	43	47	the	the	DET
fcis-9673	43	48	network	network	NOUN
fcis-9673	43	49	degradation	degradation	NOUN
fcis-9673	43	50	problem	problem	NOUN
fcis-9673	43	51	can	can	AUX
fcis-9673	43	52	be	be	AUX
fcis-9673	43	53	alleviated	alleviate	VERB
fcis-9673	43	54	.	.	PUNCT
fcis-9673	44	1	such	such	DET
fcis-9673	44	2	a	a	DET
fcis-9673	44	3	structure	structure	NOUN
fcis-9673	44	4	is	be	AUX
fcis-9673	44	5	of	of	ADP
fcis-9673	44	6	great	great	ADJ
fcis-9673	44	7	benefit	benefit	NOUN
fcis-9673	44	8	in	in	ADP
fcis-9673	44	9	backpropagation	backpropagation	NOUN
fcis-9673	44	10	because	because	SCONJ
fcis-9673	44	11	the	the	DET
fcis-9673	44	12	cross	cross	ADJ
fcis-9673	44	13	-	-	ADJ
fcis-9673	44	14	layer	layer	ADJ
fcis-9673	44	15	connected	connected	ADJ
fcis-9673	44	16	structure	structure	NOUN
fcis-9673	44	17	can	can	AUX
fcis-9673	44	18	propagate	propagate	VERB
fcis-9673	44	19	the	the	DET
fcis-9673	44	20	gradient	gradient	NOUN
fcis-9673	44	21	losslessly	losslessly	ADV
fcis-9673	44	22	and	and	CCONJ
fcis-9673	44	23	does	do	AUX
fcis-9673	44	24	not	not	PART
fcis-9673	44	25	cause	cause	VERB
fcis-9673	44	26	the	the	DET
fcis-9673	44	27	gradient	gradient	NOUN
fcis-9673	44	28	to	to	PART
fcis-9673	44	29	disappear	disappear	VERB
fcis-9673	44	30	.	.	PUNCT
fcis-9673	45	1	therefore	therefore	ADV
fcis-9673	45	2	,	,	PUNCT
fcis-9673	45	3	adding	add	VERB
fcis-9673	45	4	several	several	ADJ
fcis-9673	45	5	identity	identity	NOUN
fcis-9673	45	6	maps	map	NOUN
fcis-9673	45	7	to	to	ADP
fcis-9673	45	8	the	the	DET
fcis-9673	45	9	neural	neural	ADJ
fcis-9673	45	10	network	network	NOUN
fcis-9673	45	11	increases	increase	VERB
fcis-9673	45	12	the	the	DET
fcis-9673	45	13	network	network	NOUN
fcis-9673	45	14	depth	depth	NOUN
fcis-9673	45	15	without	without	ADP
fcis-9673	45	16	causing	cause	VERB
fcis-9673	45	17	network	network	NOUN
fcis-9673	45	18	degradation	degradation	NOUN
fcis-9673	45	19	.	.	PUNCT
fcis-9673	46	1	2.2	2.2	NUM
fcis-9673	46	2	.	.	PUNCT
fcis-9673	47	1	cbam	cbam	VERB
fcis-9673	47	2	the	the	DET
fcis-9673	47	3	convolutional	convolutional	ADJ
fcis-9673	47	4	block	block	NOUN
fcis-9673	47	5	attention	attention	NOUN
fcis-9673	47	6	module	module	NOUN
fcis-9673	47	7	(	(	PUNCT
fcis-9673	47	8	cbam	cbam	NOUN
fcis-9673	47	9	)	)	PUNCT
fcis-9673	48	1	[	[	X
fcis-9673	48	2	7	7	X
fcis-9673	48	3	]	]	PUNCT
fcis-9673	48	4	integrates	integrate	VERB
fcis-9673	48	5	the	the	DET
fcis-9673	48	6	spatial	spatial	ADJ
fcis-9673	48	7	attention	attention	NOUN
fcis-9673	48	8	module	module	NOUN
fcis-9673	48	9	and	and	CCONJ
fcis-9673	48	10	the	the	DET
fcis-9673	48	11	channel	channel	NOUN
fcis-9673	48	12	attention	attention	NOUN
fcis-9673	48	13	module	module	NOUN
fcis-9673	48	14	.	.	PUNCT
fcis-9673	49	1	attention	attention	NOUN
fcis-9673	49	2	mechanism	mechanism	NOUN
fcis-9673	49	3	not	not	PART
fcis-9673	49	4	only	only	ADV
fcis-9673	49	5	improves	improve	VERB
fcis-9673	49	6	the	the	DET
fcis-9673	49	7	efficiency	efficiency	NOUN
fcis-9673	49	8	of	of	ADP
fcis-9673	49	9	image	image	NOUN
fcis-9673	49	10	classification	classification	NOUN
fcis-9673	49	11	,	,	PUNCT
fcis-9673	49	12	but	but	CCONJ
fcis-9673	49	13	also	also	ADV
fcis-9673	49	14	enhances	enhance	VERB
fcis-9673	49	15	the	the	DET
fcis-9673	49	16	ability	ability	NOUN
fcis-9673	49	17	of	of	ADP
fcis-9673	49	18	network	network	NOUN
fcis-9673	49	19	to	to	PART
fcis-9673	49	20	extract	extract	VERB
fcis-9673	49	21	effective	effective	ADJ
fcis-9673	49	22	information	information	NOUN
fcis-9673	49	23	and	and	CCONJ
fcis-9673	49	24	extract	extract	VERB
fcis-9673	49	25	more	more	ADV
fcis-9673	49	26	important	important	ADJ
fcis-9673	49	27	information	information	NOUN
fcis-9673	49	28	.	.	PUNCT
fcis-9673	50	1	the	the	DET
fcis-9673	50	2	convolutional	convolutional	ADJ
fcis-9673	50	3	attention	attention	NOUN
fcis-9673	50	4	mechanism	mechanism	NOUN
fcis-9673	50	5	diagram	diagram	NOUN
fcis-9673	50	6	is	be	AUX
fcis-9673	50	7	shown	show	VERB
fcis-9673	50	8	in	in	ADP
fcis-9673	50	9	figure	figure	NOUN
fcis-9673	50	10	2	2	NUM
fcis-9673	50	11	below	below	ADV
fcis-9673	50	12	.	.	PUNCT
fcis-9673	51	1	fig	fig	NOUN
fcis-9673	51	2	2	2	NUM
fcis-9673	51	3	.	.	PUNCT
fcis-9673	51	4	convolutional	convolutional	ADJ
fcis-9673	51	5	block	block	NOUN
fcis-9673	51	6	attention	attention	NOUN
fcis-9673	51	7	module	module	NOUN
fcis-9673	51	8	the	the	DET
fcis-9673	51	9	channel	channel	NOUN
fcis-9673	51	10	attention	attention	NOUN
fcis-9673	51	11	module	module	NOUN
fcis-9673	51	12	first	first	ADV
fcis-9673	51	13	compacts	compact	VERB
fcis-9673	51	14	the	the	DET
fcis-9673	51	15	feature	feature	NOUN
fcis-9673	51	16	map	map	NOUN
fcis-9673	51	17	in	in	ADP
fcis-9673	51	18	spatial	spatial	ADJ
fcis-9673	51	19	dimension	dimension	NOUN
fcis-9673	51	20	,	,	PUNCT
fcis-9673	51	21	adopts	adopt	VERB
fcis-9673	51	22	average	average	ADJ
fcis-9673	51	23	pooling	pooling	NOUN
fcis-9673	51	24	and	and	CCONJ
fcis-9673	51	25	global	global	ADJ
fcis-9673	51	26	maximum	maximum	ADJ
fcis-9673	51	27	pooling	pooling	NOUN
fcis-9673	51	28	in	in	ADP
fcis-9673	51	29	step	step	NOUN
fcis-9673	51	30	s	s	PROPN
fcis-9673	51	31	,	,	PUNCT
fcis-9673	51	32	and	and	CCONJ
fcis-9673	51	33	models	model	VERB
fcis-9673	51	34	channel	channel	NOUN
fcis-9673	51	35	correlation	correlation	NOUN
fcis-9673	51	36	through	through	ADP
fcis-9673	51	37	two	two	NUM
fcis-9673	51	38	fully	fully	ADV
fcis-9673	51	39	connected	connect	VERB
fcis-9673	51	40	layers	layer	NOUN
fcis-9673	51	41	and	and	CCONJ
fcis-9673	51	42	corresponding	corresponding	ADJ
fcis-9673	51	43	activation	activation	NOUN
fcis-9673	51	44	functions	function	NOUN
fcis-9673	51	45	in	in	ADP
fcis-9673	51	46	step	step	NOUN
fcis-9673	51	47	e	e	NOUN
fcis-9673	51	48	,	,	PUNCT
fcis-9673	51	49	and	and	CCONJ
fcis-9673	51	50	combines	combine	VERB
fcis-9673	51	51	the	the	DET
fcis-9673	51	52	output	output	NOUN
fcis-9673	51	53	to	to	PART
fcis-9673	51	54	obtain	obtain	VERB
fcis-9673	51	55	the	the	DET
fcis-9673	51	56	weight	weight	NOUN
fcis-9673	51	57	of	of	ADP
fcis-9673	51	58	each	each	DET
fcis-9673	51	59	feature	feature	NOUN
fcis-9673	51	60	channel	channel	NOUN
fcis-9673	51	61	.	.	PUNCT
fcis-9673	52	1	after	after	SCONJ
fcis-9673	52	2	the	the	DET
fcis-9673	52	3	weights	weight	NOUN
fcis-9673	52	4	of	of	ADP
fcis-9673	52	5	the	the	DET
fcis-9673	52	6	feature	feature	NOUN
fcis-9673	52	7	channels	channel	NOUN
fcis-9673	52	8	are	be	AUX
fcis-9673	52	9	obtained	obtain	VERB
fcis-9673	52	10	,	,	PUNCT
fcis-9673	52	11	the	the	DET
fcis-9673	52	12	original	original	ADJ
fcis-9673	52	13	features	feature	NOUN
fcis-9673	52	14	are	be	AUX
fcis-9673	52	15	weighted	weight	VERB
fcis-9673	52	16	to	to	ADP
fcis-9673	52	17	each	each	DET
fcis-9673	52	18	channel	channel	NOUN
fcis-9673	52	19	by	by	ADP
fcis-9673	52	20	multiplication	multiplication	NOUN
fcis-9673	52	21	to	to	PART
fcis-9673	52	22	complete	complete	VERB
fcis-9673	52	23	the	the	DET
fcis-9673	52	24	re	re	NOUN
fcis-9673	52	25	-	-	NOUN
fcis-9673	52	26	calibration	calibration	NOUN
fcis-9673	52	27	of	of	ADP
fcis-9673	52	28	the	the	DET
fcis-9673	52	29	original	original	ADJ
fcis-9673	52	30	features	feature	NOUN
fcis-9673	52	31	in	in	ADP
fcis-9673	52	32	the	the	DET
fcis-9673	52	33	channel	channel	NOUN
fcis-9673	52	34	dimension	dimension	NOUN
fcis-9673	52	35	.	.	PUNCT
fcis-9673	53	1	the	the	DET
fcis-9673	53	2	spatial	spatial	ADJ
fcis-9673	53	3	attention	attention	NOUN
fcis-9673	53	4	module	module	NOUN
fcis-9673	53	5	firstly	firstly	ADV
fcis-9673	53	6	performs	perform	VERB
fcis-9673	53	7	global	global	ADJ
fcis-9673	53	8	average	average	ADJ
fcis-9673	53	9	pooling	pooling	NOUN
fcis-9673	53	10	and	and	CCONJ
fcis-9673	53	11	global	global	ADJ
fcis-9673	53	12	maximum	maximum	ADJ
fcis-9673	53	13	pooling	pooling	NOUN
fcis-9673	53	14	based	base	VERB
fcis-9673	53	15	on	on	ADP
fcis-9673	53	16	channels	channel	NOUN
fcis-9673	53	17	respectively	respectively	ADV
fcis-9673	53	18	.	.	PUNCT
fcis-9673	54	1	all	all	DET
fcis-9673	54	2	input	input	NOUN
fcis-9673	54	3	channels	channel	NOUN
fcis-9673	54	4	are	be	AUX
fcis-9673	54	5	pooled	pool	VERB
fcis-9673	54	6	into	into	ADP
fcis-9673	54	7	two	two	NUM
fcis-9673	54	8	real	real	ADJ
fcis-9673	54	9	numbers	number	NOUN
fcis-9673	54	10	,	,	PUNCT
fcis-9673	54	11	and	and	CCONJ
fcis-9673	54	12	two	two	NUM
fcis-9673	54	13	(	(	PUNCT
fcis-9673	54	14	h*w*1	h*w*1	X
fcis-9673	54	15	)	)	PUNCT
fcis-9673	54	16	feature	feature	NOUN
fcis-9673	54	17	graphs	graph	NOUN
fcis-9673	54	18	are	be	AUX
fcis-9673	54	19	obtained	obtain	VERB
fcis-9673	54	20	from	from	ADP
fcis-9673	54	21	the	the	DET
fcis-9673	54	22	(	(	PUNCT
fcis-9673	54	23	h*w*c	h*w*c	PROPN
fcis-9673	54	24	)	)	PUNCT
fcis-9673	54	25	shaped	shape	VERB
fcis-9673	54	26	inputs	input	NOUN
fcis-9673	54	27	.	.	PUNCT
fcis-9673	55	1	then	then	ADV
fcis-9673	55	2	a	a	DET
fcis-9673	55	3	7	7	NUM
fcis-9673	55	4	*	*	SYM
fcis-9673	55	5	7	7	NUM
fcis-9673	55	6	convolution	convolution	NOUN
fcis-9673	55	7	kernel	kernel	NOUN
fcis-9673	55	8	is	be	AUX
fcis-9673	55	9	used	use	VERB
fcis-9673	55	10	to	to	PART
fcis-9673	55	11	form	form	VERB
fcis-9673	55	12	a	a	DET
fcis-9673	55	13	new	new	ADJ
fcis-9673	55	14	(	(	PUNCT
fcis-9673	55	15	h*w*1	h*w*1	NOUN
fcis-9673	55	16	)	)	PUNCT
fcis-9673	55	17	feature	feature	NOUN
fcis-9673	55	18	map	map	NOUN
fcis-9673	55	19	.	.	PUNCT
fcis-9673	56	1	finally	finally	ADV
fcis-9673	56	2	,	,	PUNCT
fcis-9673	56	3	the	the	DET
fcis-9673	56	4	output	output	NOUN
fcis-9673	56	5	feature	feature	NOUN
fcis-9673	56	6	map	map	NOUN
fcis-9673	56	7	and	and	CCONJ
fcis-9673	56	8	the	the	DET
fcis-9673	56	9	input	input	NOUN
fcis-9673	56	10	feature	feature	NOUN
fcis-9673	56	11	map	map	NOUN
fcis-9673	56	12	of	of	ADP
fcis-9673	56	13	the	the	DET
fcis-9673	56	14	spatial	spatial	ADJ
fcis-9673	56	15	attention	attention	NOUN
fcis-9673	56	16	module	module	NOUN
fcis-9673	56	17	are	be	AUX
fcis-9673	56	18	integrated	integrate	VERB
fcis-9673	56	19	to	to	PART
fcis-9673	56	20	get	get	VERB
fcis-9673	56	21	the	the	DET
fcis-9673	56	22	final	final	ADJ
fcis-9673	56	23	feature	feature	NOUN
fcis-9673	56	24	.	.	PUNCT
fcis-9673	57	1	3	3	X
fcis-9673	57	2	.	.	X
fcis-9673	57	3	experiment	experiment	NOUN
fcis-9673	57	4	and	and	CCONJ
fcis-9673	57	5	analysis	analysis	NOUN
fcis-9673	57	6	3.1	3.1	NUM
fcis-9673	57	7	.	.	PUNCT
fcis-9673	58	1	experiment	experiment	NOUN
fcis-9673	58	2	procedure	procedure	NOUN
fcis-9673	58	3	3.1.1	3.1.1	NUM
fcis-9673	58	4	.	.	PUNCT
fcis-9673	59	1	data	datum	NOUN
fcis-9673	59	2	sources	source	NOUN
fcis-9673	59	3	and	and	CCONJ
fcis-9673	59	4	background	background	NOUN
fcis-9673	59	5	this	this	DET
fcis-9673	59	6	paper	paper	NOUN
fcis-9673	59	7	adopts	adopt	VERB
fcis-9673	59	8	the	the	DET
fcis-9673	59	9	rolling	rolling	ADJ
fcis-9673	59	10	bearing	bear	VERB
fcis-9673	59	11	experimental	experimental	ADJ
fcis-9673	59	12	data	datum	NOUN
fcis-9673	59	13	set	set	VERB
fcis-9673	59	14	[	[	X
fcis-9673	59	15	8	8	NUM
fcis-9673	59	16	]	]	PUNCT
fcis-9673	59	17	from	from	ADP
fcis-9673	59	18	the	the	DET
fcis-9673	59	19	bearing	bear	VERB
fcis-9673	59	20	data	datum	NOUN
fcis-9673	59	21	center	center	NOUN
fcis-9673	59	22	website	website	NOUN
fcis-9673	59	23	of	of	ADP
fcis-9673	59	24	case	case	NOUN
fcis-9673	59	25	western	western	PROPN
fcis-9673	59	26	reserve	reserve	PROPN
fcis-9673	59	27	university	university	PROPN
fcis-9673	59	28	in	in	ADP
fcis-9673	59	29	the	the	DET
fcis-9673	59	30	united	united	PROPN
fcis-9673	59	31	states	states	PROPN
fcis-9673	59	32	,	,	PUNCT
fcis-9673	59	33	and	and	CCONJ
fcis-9673	59	34	takes	take	VERB
fcis-9673	59	35	the	the	DET
fcis-9673	59	36	experimental	experimental	ADJ
fcis-9673	59	37	data	datum	NOUN
fcis-9673	59	38	of	of	ADP
fcis-9673	59	39	type	type	NOUN
fcis-9673	59	40	6205	6205	NUM
fcis-9673	59	41	deep	deep	ADJ
fcis-9673	59	42	bearing	bearing	NOUN
fcis-9673	59	43	skf	skf	NOUN
fcis-9673	59	44	with	with	ADP
fcis-9673	59	45	driving	drive	VERB
fcis-9673	59	46	end	end	NOUN
fcis-9673	59	47	as	as	ADP
fcis-9673	59	48	the	the	DET
fcis-9673	59	49	research	research	NOUN
fcis-9673	59	50	object	object	NOUN
fcis-9673	59	51	,	,	PUNCT
fcis-9673	59	52	including	include	VERB
fcis-9673	59	53	the	the	DET
fcis-9673	59	54	data	datum	NOUN
fcis-9673	59	55	under	under	ADP
fcis-9673	59	56	four	four	NUM
fcis-9673	59	57	loads	load	NOUN
fcis-9673	59	58	of	of	ADP
fcis-9673	59	59	0hp	0hp	NOUN
fcis-9673	59	60	,	,	PUNCT
fcis-9673	59	61	1hp	1hp	NOUN
fcis-9673	59	62	,	,	PUNCT
fcis-9673	59	63	2hp	2hp	NOUN
fcis-9673	59	64	and	and	CCONJ
fcis-9673	59	65	3hp	3hp	NOUN
fcis-9673	59	66	.	.	PUNCT
fcis-9673	60	1	the	the	DET
fcis-9673	60	2	sampling	sample	VERB
fcis-9673	60	3	frequency	frequency	NOUN
fcis-9673	60	4	is	be	AUX
fcis-9673	60	5	12	12	NUM
fcis-9673	60	6	khz	khz	NOUN
fcis-9673	60	7	and	and	CCONJ
fcis-9673	60	8	the	the	DET
fcis-9673	60	9	bearing	bearing	NOUN
fcis-9673	60	10	speed	speed	NOUN
fcis-9673	60	11	is	be	AUX
fcis-9673	60	12	1	1	NUM
fcis-9673	60	13	797	797	NUM
fcis-9673	60	14	r	r	NOUN
fcis-9673	60	15	/	/	SYM
fcis-9673	60	16	min	min	NOUN
fcis-9673	60	17	.	.	PUNCT
fcis-9673	61	1	the	the	DET
fcis-9673	61	2	fault	fault	NOUN
fcis-9673	61	3	types	type	NOUN
fcis-9673	61	4	are	be	AUX
fcis-9673	61	5	divided	divide	VERB
fcis-9673	61	6	into	into	ADP
fcis-9673	61	7	inner	inner	ADJ
fcis-9673	61	8	ring	ring	NOUN
fcis-9673	61	9	fault	fault	NOUN
fcis-9673	61	10	,	,	PUNCT
fcis-9673	61	11	outer	outer	ADJ
fcis-9673	61	12	ring	ring	NOUN
fcis-9673	61	13	fault	fault	NOUN
fcis-9673	61	14	,	,	PUNCT
fcis-9673	61	15	rolling	rolling	ADJ
fcis-9673	61	16	element	element	NOUN
fcis-9673	61	17	fault	fault	NOUN
fcis-9673	61	18	and	and	CCONJ
fcis-9673	61	19	normal	normal	ADJ
fcis-9673	61	20	state	state	NOUN
fcis-9673	61	21	.	.	PUNCT
fcis-9673	62	1	the	the	DET
fcis-9673	62	2	test	test	NOUN
fcis-9673	62	3	set	set	VERB
fcis-9673	62	4	and	and	CCONJ
fcis-9673	62	5	the	the	DET
fcis-9673	62	6	training	training	NOUN
fcis-9673	62	7	set	set	NOUN
fcis-9673	62	8	are	be	AUX
fcis-9673	62	9	divided	divide	VERB
fcis-9673	62	10	according	accord	VERB
fcis-9673	62	11	to	to	ADP
fcis-9673	62	12	6:4	6:4	NUM
fcis-9673	62	13	,	,	PUNCT
fcis-9673	62	14	including	include	VERB
fcis-9673	62	15	3600	3600	NUM
fcis-9673	62	16	training	training	NOUN
fcis-9673	62	17	samples	sample	NOUN
fcis-9673	62	18	and	and	CCONJ
fcis-9673	62	19	2400	2400	NUM
fcis-9673	62	20	test	test	NOUN
fcis-9673	62	21	samples	sample	NOUN
fcis-9673	62	22	.	.	PUNCT
fcis-9673	63	1	detailed	detailed	ADJ
fcis-9673	63	2	data	datum	NOUN
fcis-9673	63	3	description	description	NOUN
fcis-9673	63	4	is	be	AUX
fcis-9673	63	5	shown	show	VERB
fcis-9673	63	6	in	in	ADP
fcis-9673	63	7	table	table	NOUN
fcis-9673	63	8	1	1	NUM
fcis-9673	63	9	below	below	ADV
fcis-9673	63	10	.	.	PUNCT
fcis-9673	64	1	table	table	NOUN
fcis-9673	64	2	1	1	NUM
fcis-9673	64	3	.	.	PUNCT
fcis-9673	65	1	fault	fault	VERB
fcis-9673	65	2	sample	sample	NOUN
fcis-9673	65	3	information	information	NOUN
fcis-9673	65	4	tag	tag	NOUN
fcis-9673	65	5	fault	fault	NOUN
fcis-9673	65	6	location	location	NOUN
fcis-9673	65	7	fault	fault	NOUN
fcis-9673	65	8	size	size	NOUN
fcis-9673	65	9	number	number	NOUN
fcis-9673	65	10	of	of	ADP
fcis-9673	65	11	training	training	NOUN
fcis-9673	65	12	sets	set	NOUN
fcis-9673	65	13	number	number	NOUN
fcis-9673	65	14	of	of	ADP
fcis-9673	65	15	test	test	NOUN
fcis-9673	65	16	sets	set	NOUN
fcis-9673	65	17	0	0	NUM
fcis-9673	65	18	inner	inner	ADJ
fcis-9673	65	19	ring	ring	NOUN
fcis-9673	65	20	fault	fault	NOUN
fcis-9673	65	21	0.007	0.007	NUM
fcis-9673	65	22	360	360	NUM
fcis-9673	65	23	240	240	NUM
fcis-9673	65	24	1	1	NUM
fcis-9673	65	25	inner	inner	ADJ
fcis-9673	65	26	ring	ring	NOUN
fcis-9673	65	27	fault	fault	NOUN
fcis-9673	65	28	0.014	0.014	NUM
fcis-9673	65	29	360	360	NUM
fcis-9673	65	30	240	240	NUM
fcis-9673	65	31	2	2	NUM
fcis-9673	65	32	inner	inner	ADJ
fcis-9673	65	33	ring	ring	NOUN
fcis-9673	65	34	fault	fault	NOUN
fcis-9673	65	35	0.021	0.021	NUM
fcis-9673	65	36	360	360	NUM
fcis-9673	65	37	240	240	NUM
fcis-9673	65	38	3	3	NUM
fcis-9673	65	39	outer	outer	ADJ
fcis-9673	65	40	ring	ring	NOUN
fcis-9673	65	41	fault	fault	NOUN
fcis-9673	65	42	0.007	0.007	NUM
fcis-9673	65	43	360	360	NUM
fcis-9673	65	44	240	240	NUM
fcis-9673	65	45	4	4	NUM
fcis-9673	65	46	outer	outer	ADJ
fcis-9673	65	47	ring	ring	NOUN
fcis-9673	65	48	fault	fault	NOUN
fcis-9673	65	49	0.014	0.014	NUM
fcis-9673	65	50	360	360	NUM
fcis-9673	65	51	240	240	NUM
fcis-9673	65	52	5	5	NUM
fcis-9673	65	53	outer	outer	ADJ
fcis-9673	65	54	ring	ring	NOUN
fcis-9673	65	55	fault	fault	NOUN
fcis-9673	65	56	0.021	0.021	NUM
fcis-9673	65	57	360	360	NUM
fcis-9673	65	58	240	240	NUM
fcis-9673	65	59	6	6	NUM
fcis-9673	65	60	rolling	rolling	ADJ
fcis-9673	65	61	element	element	NOUN
fcis-9673	65	62	fault	fault	NOUN
fcis-9673	65	63	0.007	0.007	NUM
fcis-9673	65	64	360	360	NUM
fcis-9673	65	65	240	240	NUM
fcis-9673	65	66	7	7	NUM
fcis-9673	65	67	rolling	rolling	ADJ
fcis-9673	65	68	element	element	NOUN
fcis-9673	65	69	fault	fault	NOUN
fcis-9673	65	70	0.014	0.014	NUM
fcis-9673	65	71	360	360	NUM
fcis-9673	65	72	240	240	NUM
fcis-9673	65	73	8	8	NUM
fcis-9673	65	74	rolling	rolling	ADJ
fcis-9673	65	75	element	element	NOUN
fcis-9673	65	76	fault	fault	NOUN
fcis-9673	65	77	0.021	0.021	NUM
fcis-9673	65	78	360	360	NUM
fcis-9673	65	79	240	240	NUM
fcis-9673	65	80	9	9	NUM
fcis-9673	65	81	normal	normal	ADJ
fcis-9673	65	82	state	state	NOUN
fcis-9673	65	83	0	0	NUM
fcis-9673	65	84	360	360	NUM
fcis-9673	65	85	240	240	NUM
fcis-9673	65	86	3.1.2	3.1.2	NUM
fcis-9673	65	87	.	.	PUNCT
fcis-9673	66	1	analysis	analysis	NOUN
fcis-9673	66	2	of	of	ADP
fcis-9673	66	3	experimental	experimental	ADJ
fcis-9673	66	4	results	result	NOUN
fcis-9673	66	5	the	the	DET
fcis-9673	66	6	data	datum	NOUN
fcis-9673	66	7	processing	processing	NOUN
fcis-9673	66	8	and	and	CCONJ
fcis-9673	66	9	experiments	experiment	NOUN
fcis-9673	66	10	in	in	ADP
fcis-9673	66	11	this	this	DET
fcis-9673	66	12	paper	paper	NOUN
fcis-9673	66	13	are	be	AUX
fcis-9673	66	14	all	all	PRON
fcis-9673	66	15	implemented	implement	VERB
fcis-9673	66	16	under	under	ADP
fcis-9673	66	17	the	the	DET
fcis-9673	66	18	windows10	windows10	NOUN
fcis-9673	66	19	system	system	NOUN
fcis-9673	66	20	,	,	PUNCT
fcis-9673	66	21	the	the	DET
fcis-9673	66	22	programming	programming	NOUN
fcis-9673	66	23	language	language	NOUN
fcis-9673	66	24	is	be	AUX
fcis-9673	66	25	python	python	NOUN
fcis-9673	66	26	,	,	PUNCT
fcis-9673	66	27	and	and	CCONJ
fcis-9673	66	28	the	the	DET
fcis-9673	66	29	development	development	NOUN
fcis-9673	66	30	tool	tool	NOUN
fcis-9673	66	31	is	be	AUX
fcis-9673	66	32	pycharm	pycharm	ADJ
fcis-9673	66	33	.	.	PUNCT
fcis-9673	67	1	in	in	ADP
fcis-9673	67	2	order	order	NOUN
fcis-9673	67	3	to	to	PART
fcis-9673	67	4	ensure	ensure	VERB
fcis-9673	67	5	the	the	DET
fcis-9673	67	6	same	same	ADJ
fcis-9673	67	7	sequence	sequence	NOUN
fcis-9673	67	8	of	of	ADP
fcis-9673	67	9	input	input	NOUN
fcis-9673	67	10	data	datum	NOUN
fcis-9673	67	11	each	each	DET
fcis-9673	67	12	time	time	NOUN
fcis-9673	67	13	,	,	PUNCT
fcis-9673	67	14	set	set	VERB
fcis-9673	67	15	the	the	DET
fcis-9673	67	16	number	number	NOUN
fcis-9673	67	17	of	of	ADP
fcis-9673	67	18	random	random	ADJ
fcis-9673	67	19	seeds	seed	NOUN
fcis-9673	67	20	to	to	ADP
fcis-9673	67	21	0	0	NUM
fcis-9673	67	22	,	,	PUNCT
fcis-9673	67	23	set	set	VERB
fcis-9673	67	24	the	the	DET
fcis-9673	67	25	epoch	epoch	NOUN
fcis-9673	67	26	size	size	NOUN
fcis-9673	67	27	to	to	ADP
fcis-9673	67	28	30	30	NUM
fcis-9673	67	29	times	time	NOUN
fcis-9673	67	30	,	,	PUNCT
fcis-9673	67	31	that	that	ADV
fcis-9673	67	32	is	is	ADV
fcis-9673	67	33	,	,	PUNCT
fcis-9673	67	34	30	30	NUM
fcis-9673	67	35	iterations	iteration	NOUN
fcis-9673	67	36	,	,	PUNCT
fcis-9673	67	37	and	and	CCONJ
fcis-9673	67	38	set	set	VERB
fcis-9673	67	39	the	the	DET
fcis-9673	67	40	batch_size	batch_size	NOUN
fcis-9673	67	41	size	size	NOUN
fcis-9673	67	42	to	to	ADP
fcis-9673	67	43	5	5	NUM
fcis-9673	67	44	,	,	PUNCT
fcis-9673	67	45	3	3	NUM
fcis-9673	67	46	that	that	PRON
fcis-9673	67	47	is	be	AUX
fcis-9673	67	48	,	,	PUNCT
fcis-9673	67	49	select	select	VERB
fcis-9673	67	50	5	5	NUM
fcis-9673	67	51	samples	sample	NOUN
fcis-9673	67	52	for	for	ADP
fcis-9673	67	53	training	training	NOUN
fcis-9673	67	54	each	each	DET
fcis-9673	67	55	time	time	NOUN
fcis-9673	67	56	.	.	PUNCT
fcis-9673	68	1	the	the	DET
fcis-9673	68	2	diagnostic	diagnostic	ADJ
fcis-9673	68	3	accuracy	accuracy	NOUN
fcis-9673	68	4	of	of	ADP
fcis-9673	68	5	model	model	NOUN
fcis-9673	68	6	training	training	NOUN
fcis-9673	68	7	is	be	AUX
fcis-9673	68	8	shown	show	VERB
fcis-9673	68	9	in	in	ADP
fcis-9673	68	10	figure	figure	NOUN
fcis-9673	68	11	3	3	NUM
fcis-9673	68	12	below	below	ADV
fcis-9673	68	13	.	.	PUNCT
fcis-9673	69	1	with	with	ADP
fcis-9673	69	2	the	the	DET
fcis-9673	69	3	increase	increase	NOUN
fcis-9673	69	4	of	of	ADP
fcis-9673	69	5	iterations	iteration	NOUN
fcis-9673	69	6	,	,	PUNCT
fcis-9673	69	7	the	the	DET
fcis-9673	69	8	diagnostic	diagnostic	ADJ
fcis-9673	69	9	rate	rate	NOUN
fcis-9673	69	10	of	of	ADP
fcis-9673	69	11	the	the	DET
fcis-9673	69	12	model	model	NOUN
fcis-9673	69	13	is	be	AUX
fcis-9673	69	14	continuously	continuously	ADV
fcis-9673	69	15	improved	improve	VERB
fcis-9673	69	16	.	.	PUNCT
fcis-9673	70	1	the	the	DET
fcis-9673	70	2	accuracy	accuracy	NOUN
fcis-9673	70	3	of	of	ADP
fcis-9673	70	4	the	the	DET
fcis-9673	70	5	training	training	NOUN
fcis-9673	70	6	set	set	NOUN
fcis-9673	70	7	reaches	reach	VERB
fcis-9673	70	8	100	100	NUM
fcis-9673	70	9	%	%	NOUN
fcis-9673	70	10	after	after	ADP
fcis-9673	70	11	the	the	DET
fcis-9673	70	12	second	second	ADJ
fcis-9673	70	13	round	round	NOUN
fcis-9673	70	14	of	of	ADP
fcis-9673	70	15	iteration	iteration	NOUN
fcis-9673	70	16	,	,	PUNCT
fcis-9673	70	17	and	and	CCONJ
fcis-9673	70	18	the	the	DET
fcis-9673	70	19	accuracy	accuracy	NOUN
fcis-9673	70	20	of	of	ADP
fcis-9673	70	21	the	the	DET
fcis-9673	70	22	test	test	NOUN
fcis-9673	70	23	set	set	NOUN
fcis-9673	70	24	reaches	reach	VERB
fcis-9673	70	25	about	about	ADV
fcis-9673	70	26	99.7	99.7	NUM
fcis-9673	70	27	%	%	NOUN
fcis-9673	70	28	.	.	PUNCT
fcis-9673	71	1	it	it	PRON
fcis-9673	71	2	can	can	AUX
fcis-9673	71	3	be	be	AUX
fcis-9673	71	4	seen	see	VERB
fcis-9673	71	5	from	from	ADP
fcis-9673	71	6	the	the	DET
fcis-9673	71	7	figure	figure	NOUN
fcis-9673	71	8	that	that	SCONJ
fcis-9673	71	9	the	the	DET
fcis-9673	71	10	method	method	NOUN
fcis-9673	71	11	proposed	propose	VERB
fcis-9673	71	12	in	in	ADP
fcis-9673	71	13	this	this	DET
fcis-9673	71	14	paper	paper	NOUN
fcis-9673	71	15	has	have	VERB
fcis-9673	71	16	a	a	DET
fcis-9673	71	17	good	good	ADJ
fcis-9673	71	18	classification	classification	NOUN
fcis-9673	71	19	effect	effect	NOUN
fcis-9673	71	20	in	in	ADP
fcis-9673	71	21	the	the	DET
fcis-9673	71	22	classification	classification	NOUN
fcis-9673	71	23	and	and	CCONJ
fcis-9673	71	24	recognition	recognition	NOUN
fcis-9673	71	25	of	of	ADP
fcis-9673	71	26	bearing	bear	VERB
fcis-9673	71	27	defects	defect	NOUN
fcis-9673	71	28	.	.	PUNCT
fcis-9673	72	1	the	the	DET
fcis-9673	72	2	loss	loss	NOUN
fcis-9673	72	3	function	function	NOUN
fcis-9673	72	4	curve	curve	NOUN
fcis-9673	72	5	of	of	ADP
fcis-9673	72	6	model	model	NOUN
fcis-9673	72	7	training	training	NOUN
fcis-9673	72	8	can	can	AUX
fcis-9673	72	9	be	be	AUX
fcis-9673	72	10	seen	see	VERB
fcis-9673	72	11	in	in	ADP
fcis-9673	72	12	figure	figure	NOUN
fcis-9673	72	13	4	4	NUM
fcis-9673	72	14	,	,	PUNCT
fcis-9673	72	15	from	from	ADP
fcis-9673	72	16	which	which	PRON
fcis-9673	72	17	we	we	PRON
fcis-9673	72	18	can	can	AUX
fcis-9673	72	19	see	see	VERB
fcis-9673	72	20	that	that	SCONJ
fcis-9673	72	21	the	the	DET
fcis-9673	72	22	cross	cross	ADJ
fcis-9673	72	23	-	-	ADJ
fcis-9673	72	24	entropy	entropy	ADJ
fcis-9673	72	25	loss	loss	NOUN
fcis-9673	72	26	function	function	NOUN
fcis-9673	72	27	value	value	NOUN
fcis-9673	72	28	of	of	ADP
fcis-9673	72	29	training	training	NOUN
fcis-9673	72	30	set	set	NOUN
fcis-9673	72	31	and	and	CCONJ
fcis-9673	72	32	test	test	NOUN
fcis-9673	72	33	set	set	NOUN
fcis-9673	72	34	is	be	AUX
fcis-9673	72	35	also	also	ADV
fcis-9673	72	36	close	close	ADJ
fcis-9673	72	37	to	to	ADP
fcis-9673	72	38	0	0	NUM
fcis-9673	72	39	and	and	CCONJ
fcis-9673	72	40	tends	tend	VERB
fcis-9673	72	41	to	to	PART
fcis-9673	72	42	be	be	AUX
fcis-9673	72	43	stable	stable	ADJ
fcis-9673	72	44	after	after	ADP
fcis-9673	72	45	the	the	DET
fcis-9673	72	46	second	second	ADJ
fcis-9673	72	47	round	round	NOUN
fcis-9673	72	48	of	of	ADP
fcis-9673	72	49	iteration	iteration	NOUN
fcis-9673	72	50	.	.	PUNCT
fcis-9673	73	1	fig	fig	NOUN
fcis-9673	73	2	3	3	NUM
fcis-9673	73	3	.	.	PUNCT
fcis-9673	74	1	diagnostic	diagnostic	ADJ
fcis-9673	74	2	accuracy	accuracy	NOUN
fcis-9673	74	3	curve	curve	NOUN
fcis-9673	74	4	of	of	ADP
fcis-9673	74	5	model	model	NOUN
fcis-9673	74	6	training	training	NOUN
fcis-9673	74	7	fig	fig	NOUN
fcis-9673	74	8	4	4	NUM
fcis-9673	74	9	.	.	PUNCT
fcis-9673	74	10	loss	loss	NOUN
fcis-9673	74	11	function	function	NOUN
fcis-9673	74	12	curve	curve	NOUN
fcis-9673	74	13	of	of	ADP
fcis-9673	74	14	model	model	NOUN
fcis-9673	74	15	training	train	VERB
fcis-9673	74	16	the	the	DET
fcis-9673	74	17	training	training	NOUN
fcis-9673	74	18	in	in	ADP
fcis-9673	74	19	fig	fig	NOUN
fcis-9673	74	20	.	.	PUNCT
fcis-9673	75	1	3	3	NUM
fcis-9673	75	2	and	and	CCONJ
fcis-9673	75	3	fig	fig	NOUN
fcis-9673	75	4	.	.	PUNCT
fcis-9673	76	1	4	4	NUM
fcis-9673	76	2	shows	show	VERB
fcis-9673	76	3	that	that	SCONJ
fcis-9673	76	4	the	the	DET
fcis-9673	76	5	proposed	propose	VERB
fcis-9673	76	6	method	method	NOUN
fcis-9673	76	7	can	can	AUX
fcis-9673	76	8	diagnose	diagnose	VERB
fcis-9673	76	9	the	the	DET
fcis-9673	76	10	bearing	bear	VERB
fcis-9673	76	11	fault	fault	NOUN
fcis-9673	76	12	type	type	NOUN
fcis-9673	76	13	of	of	ADP
fcis-9673	76	14	the	the	DET
fcis-9673	76	15	test	test	NOUN
fcis-9673	76	16	bench	bench	NOUN
fcis-9673	76	17	more	more	ADV
fcis-9673	76	18	accurately	accurately	ADV
fcis-9673	76	19	,	,	PUNCT
fcis-9673	76	20	and	and	CCONJ
fcis-9673	76	21	verifies	verifie	NOUN
fcis-9673	76	22	that	that	PRON
fcis-9673	76	23	the	the	DET
fcis-9673	76	24	model	model	NOUN
fcis-9673	76	25	proposed	propose	VERB
fcis-9673	76	26	in	in	ADP
fcis-9673	76	27	this	this	DET
fcis-9673	76	28	paper	paper	NOUN
fcis-9673	76	29	has	have	AUX
fcis-9673	76	30	better	well	ADJ
fcis-9673	76	31	adaptability	adaptability	NOUN
fcis-9673	76	32	under	under	ADP
fcis-9673	76	33	different	different	ADJ
fcis-9673	76	34	working	working	NOUN
fcis-9673	76	35	conditions	condition	NOUN
fcis-9673	76	36	and	and	CCONJ
fcis-9673	76	37	can	can	AUX
fcis-9673	76	38	accurately	accurately	ADV
fcis-9673	76	39	diagnose	diagnose	VERB
fcis-9673	76	40	the	the	DET
fcis-9673	76	41	bearing	bear	VERB
fcis-9673	76	42	fault	fault	NOUN
fcis-9673	76	43	type	type	NOUN
fcis-9673	76	44	.	.	PUNCT
fcis-9673	77	1	4	4	X
fcis-9673	77	2	.	.	X
fcis-9673	77	3	conclusion	conclusion	NOUN
fcis-9673	77	4	in	in	ADP
fcis-9673	77	5	this	this	DET
fcis-9673	77	6	experiment	experiment	NOUN
fcis-9673	77	7	,	,	PUNCT
fcis-9673	77	8	one	one	NUM
fcis-9673	77	9	-	-	PUNCT
fcis-9673	77	10	dimensional	dimensional	ADJ
fcis-9673	77	11	vibration	vibration	NOUN
fcis-9673	77	12	signals	signal	NOUN
fcis-9673	77	13	of	of	ADP
fcis-9673	77	14	case	case	NOUN
fcis-9673	77	15	western	western	ADJ
fcis-9673	77	16	reserve	reserve	NOUN
fcis-9673	77	17	are	be	AUX
fcis-9673	77	18	transformed	transform	VERB
fcis-9673	77	19	into	into	ADP
fcis-9673	77	20	two	two	NUM
fcis-9673	77	21	-	-	PUNCT
fcis-9673	77	22	dimensional	dimensional	ADJ
fcis-9673	77	23	time	time	NOUN
fcis-9673	77	24	-	-	PUNCT
fcis-9673	77	25	frequency	frequency	NOUN
fcis-9673	77	26	images	image	NOUN
fcis-9673	77	27	by	by	ADP
fcis-9673	77	28	continuous	continuous	ADJ
fcis-9673	77	29	wavelet	wavelet	NOUN
fcis-9673	77	30	transform	transform	NOUN
fcis-9673	77	31	and	and	CCONJ
fcis-9673	77	32	input	input	NOUN
fcis-9673	77	33	into	into	ADP
fcis-9673	77	34	the	the	DET
fcis-9673	77	35	model	model	NOUN
fcis-9673	77	36	for	for	ADP
fcis-9673	77	37	classification	classification	NOUN
fcis-9673	77	38	.	.	PUNCT
fcis-9673	78	1	aiming	aim	VERB
fcis-9673	78	2	at	at	ADP
fcis-9673	78	3	the	the	DET
fcis-9673	78	4	problem	problem	NOUN
fcis-9673	78	5	that	that	SCONJ
fcis-9673	78	6	the	the	DET
fcis-9673	78	7	traditional	traditional	ADJ
fcis-9673	78	8	convolutional	convolutional	ADJ
fcis-9673	78	9	neural	neural	ADJ
fcis-9673	78	10	network	network	NOUN
fcis-9673	78	11	model	model	NOUN
fcis-9673	78	12	ignores	ignore	VERB
fcis-9673	78	13	channel	channel	NOUN
fcis-9673	78	14	attention	attention	NOUN
fcis-9673	78	15	and	and	CCONJ
fcis-9673	78	16	spatial	spatial	ADJ
fcis-9673	78	17	attention	attention	NOUN
fcis-9673	78	18	,	,	PUNCT
fcis-9673	78	19	resulting	result	VERB
fcis-9673	78	20	in	in	ADP
fcis-9673	78	21	low	low	ADJ
fcis-9673	78	22	diagnostic	diagnostic	ADJ
fcis-9673	78	23	accuracy	accuracy	NOUN
fcis-9673	78	24	due	due	ADP
fcis-9673	78	25	to	to	ADP
fcis-9673	78	26	the	the	DET
fcis-9673	78	27	loss	loss	NOUN
fcis-9673	78	28	of	of	ADP
fcis-9673	78	29	important	important	ADJ
fcis-9673	78	30	features	feature	NOUN
fcis-9673	78	31	,	,	PUNCT
fcis-9673	78	32	this	this	DET
fcis-9673	78	33	paper	paper	NOUN
fcis-9673	78	34	proposes	propose	VERB
fcis-9673	78	35	a	a	DET
fcis-9673	78	36	rolling	rolling	ADJ
fcis-9673	78	37	bearing	bear	VERB
fcis-9673	78	38	fault	fault	NOUN
fcis-9673	78	39	diagnosis	diagnosis	NOUN
fcis-9673	78	40	method	method	NOUN
fcis-9673	78	41	based	base	VERB
fcis-9673	78	42	on	on	ADP
fcis-9673	78	43	residual	residual	ADJ
fcis-9673	78	44	network	network	NOUN
fcis-9673	78	45	and	and	CCONJ
fcis-9673	78	46	attention	attention	NOUN
fcis-9673	78	47	mechanism	mechanism	NOUN
fcis-9673	78	48	.	.	PUNCT
fcis-9673	79	1	the	the	DET
fcis-9673	79	2	cbam	cbam	NOUN
fcis-9673	79	3	module	module	NOUN
fcis-9673	79	4	of	of	ADP
fcis-9673	79	5	attention	attention	NOUN
fcis-9673	79	6	mechanism	mechanism	NOUN
fcis-9673	79	7	is	be	AUX
fcis-9673	79	8	added	add	VERB
fcis-9673	79	9	to	to	ADP
fcis-9673	79	10	the	the	DET
fcis-9673	79	11	model	model	NOUN
fcis-9673	79	12	to	to	PART
fcis-9673	79	13	make	make	VERB
fcis-9673	79	14	up	up	ADP
fcis-9673	79	15	for	for	ADP
fcis-9673	79	16	the	the	DET
fcis-9673	79	17	loss	loss	NOUN
fcis-9673	79	18	of	of	ADP
fcis-9673	79	19	channel	channel	NOUN
fcis-9673	79	20	and	and	CCONJ
fcis-9673	79	21	spatial	spatial	ADJ
fcis-9673	79	22	features	feature	NOUN
fcis-9673	79	23	in	in	ADP
fcis-9673	79	24	the	the	DET
fcis-9673	79	25	traditional	traditional	ADJ
fcis-9673	79	26	model	model	NOUN
fcis-9673	79	27	.	.	PUNCT
fcis-9673	80	1	at	at	ADP
fcis-9673	80	2	the	the	DET
fcis-9673	80	3	same	same	ADJ
fcis-9673	80	4	time	time	NOUN
fcis-9673	80	5	,	,	PUNCT
fcis-9673	80	6	cbam	cbam	NOUN
fcis-9673	80	7	has	have	VERB
fcis-9673	80	8	a	a	DET
fcis-9673	80	9	good	good	ADJ
fcis-9673	80	10	image	image	NOUN
fcis-9673	80	11	classification	classification	NOUN
fcis-9673	80	12	effect	effect	NOUN
fcis-9673	80	13	in	in	ADP
fcis-9673	80	14	processing	process	VERB
fcis-9673	80	15	image	image	NOUN
fcis-9673	80	16	problems	problem	NOUN
fcis-9673	80	17	.	.	PUNCT
fcis-9673	81	1	resnet	resnet	PROPN
fcis-9673	81	2	combined	combine	VERB
fcis-9673	81	3	with	with	ADP
fcis-9673	81	4	the	the	DET
fcis-9673	81	5	attention	attention	NOUN
fcis-9673	81	6	mechanism	mechanism	NOUN
fcis-9673	81	7	can	can	AUX
fcis-9673	81	8	capture	capture	VERB
fcis-9673	81	9	the	the	DET
fcis-9673	81	10	global	global	ADJ
fcis-9673	81	11	information	information	NOUN
fcis-9673	81	12	of	of	ADP
fcis-9673	81	13	time	time	NOUN
fcis-9673	81	14	frequency	frequency	NOUN
fcis-9673	81	15	graph	graph	NOUN
fcis-9673	81	16	better	well	ADV
fcis-9673	81	17	and	and	CCONJ
fcis-9673	81	18	make	make	VERB
fcis-9673	81	19	up	up	ADP
fcis-9673	81	20	for	for	ADP
fcis-9673	81	21	the	the	DET
fcis-9673	81	22	defect	defect	NOUN
fcis-9673	81	23	of	of	ADP
fcis-9673	81	24	residual	residual	ADJ
fcis-9673	81	25	network	network	NOUN
fcis-9673	81	26	module	module	NOUN
fcis-9673	81	27	.	.	PUNCT
fcis-9673	82	1	the	the	DET
fcis-9673	82	2	experimental	experimental	ADJ
fcis-9673	82	3	results	result	NOUN
fcis-9673	82	4	show	show	VERB
fcis-9673	82	5	that	that	SCONJ
fcis-9673	82	6	the	the	DET
fcis-9673	82	7	model	model	NOUN
fcis-9673	82	8	has	have	VERB
fcis-9673	82	9	high	high	ADJ
fcis-9673	82	10	diagnostic	diagnostic	ADJ
fcis-9673	82	11	accuracy	accuracy	NOUN
fcis-9673	82	12	in	in	ADP
fcis-9673	82	13	rolling	rolling	ADJ
fcis-9673	82	14	bearing	bear	VERB
fcis-9673	82	15	fault	fault	NOUN
fcis-9673	82	16	diagnosis	diagnosis	NOUN
fcis-9673	82	17	.	.	PUNCT
fcis-9673	83	1	references	reference	NOUN
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fcis-9673	96	11	.	.	PUNCT
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