id	sid	tid	token	lemma	pos
ajst-15577	1	1	academic	academic	ADJ
ajst-15577	1	2	journal	journal	NOUN
ajst-15577	1	3	of	of	ADP
ajst-15577	1	4	science	science	NOUN
ajst-15577	1	5	and	and	CCONJ
ajst-15577	1	6	technology	technology	NOUN
ajst-15577	1	7	issn	issn	NOUN
ajst-15577	1	8	:	:	PUNCT
ajst-15577	1	9	2771	2771	NUM
ajst-15577	1	10	-	-	SYM
ajst-15577	1	11	3032	3032	NUM
ajst-15577	1	12	|	|	NOUN
ajst-15577	1	13	vol	vol	NOUN
ajst-15577	1	14	.	.	PROPN
ajst-15577	1	15	8	8	NUM
ajst-15577	1	16	,	,	PUNCT
ajst-15577	1	17	no	no	INTJ
ajst-15577	1	18	.	.	NOUN
ajst-15577	1	19	3	3	NUM
ajst-15577	1	20	,	,	PUNCT
ajst-15577	1	21	2023	2023	NUM
ajst-15577	1	22	90	90	NUM
ajst-15577	1	23	pump	pump	NOUN
ajst-15577	1	24	fault	fault	NOUN
ajst-15577	1	25	detection	detection	NOUN
ajst-15577	1	26	based	base	VERB
ajst-15577	1	27	on	on	ADP
ajst-15577	1	28	mfcc‐mlcnn	mfcc‐mlcnn	NOUN
ajst-15577	1	29	chunyin	chunyin	PROPN
ajst-15577	1	30	sun1	sun1	PROPN
ajst-15577	1	31	,	,	PUNCT
ajst-15577	1	32	dexin	dexin	PROPN
ajst-15577	1	33	song2	song2	PROPN
ajst-15577	1	34	,	,	PUNCT
ajst-15577	1	35	haorui	haorui	NOUN
ajst-15577	1	36	liu2	liu2	VERB
ajst-15577	1	37	1faculty	1faculty	NUM
ajst-15577	1	38	of	of	ADP
ajst-15577	1	39	information	information	NOUN
ajst-15577	1	40	and	and	CCONJ
ajst-15577	1	41	control	control	PROPN
ajst-15577	1	42	engineering	engineering	PROPN
ajst-15577	1	43	,	,	PUNCT
ajst-15577	1	44	jilin	jilin	PROPN
ajst-15577	1	45	institute	institute	PROPN
ajst-15577	1	46	of	of	ADP
ajst-15577	1	47	chemical	chemical	PROPN
ajst-15577	1	48	technology	technology	PROPN
ajst-15577	1	49	,	,	PUNCT
ajst-15577	1	50	jilin	jilin	PROPN
ajst-15577	1	51	132022	132022	PROPN
ajst-15577	1	52	,	,	PUNCT
ajst-15577	1	53	china	china	PROPN
ajst-15577	1	54	2school	2school	NUM
ajst-15577	1	55	of	of	ADP
ajst-15577	1	56	computer	computer	NOUN
ajst-15577	1	57	and	and	CCONJ
ajst-15577	1	58	information	information	NOUN
ajst-15577	1	59	,	,	PUNCT
ajst-15577	1	60	dezhou	dezhou	PROPN
ajst-15577	1	61	university	university	PROPN
ajst-15577	1	62	,	,	PUNCT
ajst-15577	1	63	shandong	shandong	PROPN
ajst-15577	1	64	253023	253023	NUM
ajst-15577	1	65	,	,	PUNCT
ajst-15577	1	66	china	china	PROPN
ajst-15577	1	67	abstract	abstract	NOUN
ajst-15577	1	68	:	:	PUNCT
ajst-15577	1	69	detection	detection	NOUN
ajst-15577	1	70	of	of	ADP
ajst-15577	1	71	industrial	industrial	ADJ
ajst-15577	1	72	water	water	NOUN
ajst-15577	1	73	pumping	pumping	NOUN
ajst-15577	1	74	systems	system	NOUN
ajst-15577	1	75	is	be	AUX
ajst-15577	1	76	both	both	CCONJ
ajst-15577	1	77	a	a	DET
ajst-15577	1	78	practical	practical	ADJ
ajst-15577	1	79	and	and	CCONJ
ajst-15577	1	80	important	important	ADJ
ajst-15577	1	81	area	area	NOUN
ajst-15577	1	82	of	of	ADP
ajst-15577	1	83	research	research	NOUN
ajst-15577	1	84	in	in	ADP
ajst-15577	1	85	industrial	industrial	ADJ
ajst-15577	1	86	production	production	NOUN
ajst-15577	1	87	.	.	PUNCT
ajst-15577	2	1	the	the	DET
ajst-15577	2	2	accuracy	accuracy	NOUN
ajst-15577	2	3	of	of	ADP
ajst-15577	2	4	fault	fault	NOUN
ajst-15577	2	5	detection	detection	NOUN
ajst-15577	2	6	is	be	AUX
ajst-15577	2	7	crucial	crucial	ADJ
ajst-15577	2	8	because	because	SCONJ
ajst-15577	2	9	failure	failure	NOUN
ajst-15577	2	10	of	of	ADP
ajst-15577	2	11	fault	fault	NOUN
ajst-15577	2	12	detection	detection	NOUN
ajst-15577	2	13	can	can	AUX
ajst-15577	2	14	lead	lead	VERB
ajst-15577	2	15	to	to	PART
ajst-15577	2	16	pump	pump	VERB
ajst-15577	2	17	damage	damage	NOUN
ajst-15577	2	18	and	and	CCONJ
ajst-15577	2	19	reduced	reduce	VERB
ajst-15577	2	20	productivity	productivity	NOUN
ajst-15577	2	21	.	.	PUNCT
ajst-15577	3	1	in	in	ADP
ajst-15577	3	2	order	order	NOUN
ajst-15577	3	3	to	to	PART
ajst-15577	3	4	timely	timely	ADV
ajst-15577	3	5	and	and	CCONJ
ajst-15577	3	6	accurately	accurately	ADV
ajst-15577	3	7	identify	identify	VERB
ajst-15577	3	8	the	the	DET
ajst-15577	3	9	working	work	VERB
ajst-15577	3	10	status	status	NOUN
ajst-15577	3	11	of	of	ADP
ajst-15577	3	12	water	water	NOUN
ajst-15577	3	13	supply	supply	NOUN
ajst-15577	3	14	pumps	pump	NOUN
ajst-15577	3	15	,	,	PUNCT
ajst-15577	3	16	a	a	DET
ajst-15577	3	17	pump	pump	NOUN
ajst-15577	3	18	fault	fault	NOUN
ajst-15577	3	19	detection	detection	NOUN
ajst-15577	3	20	method	method	NOUN
ajst-15577	3	21	based	base	VERB
ajst-15577	3	22	on	on	ADP
ajst-15577	3	23	mel	mel	PROPN
ajst-15577	3	24	frequency	frequency	PROPN
ajst-15577	3	25	cepstrum	cepstrum	PROPN
ajst-15577	3	26	coefficient	coefficient	NOUN
ajst-15577	3	27	with	with	ADP
ajst-15577	3	28	migration	migration	NOUN
ajst-15577	3	29	learning	learn	VERB
ajst-15577	3	30	convolutional	convolutional	ADJ
ajst-15577	3	31	neural	neural	ADJ
ajst-15577	3	32	networks	network	NOUN
ajst-15577	3	33	(	(	PUNCT
ajst-15577	3	34	mfcc	mfcc	NOUN
ajst-15577	3	35	-	-	PUNCT
ajst-15577	3	36	mlcnn	mlcnn	NOUN
ajst-15577	3	37	)	)	PUNCT
ajst-15577	3	38	is	be	AUX
ajst-15577	3	39	proposed	propose	VERB
ajst-15577	3	40	.	.	PUNCT
ajst-15577	4	1	the	the	DET
ajst-15577	4	2	sound	sound	ADJ
ajst-15577	4	3	signals	signal	NOUN
ajst-15577	4	4	of	of	ADP
ajst-15577	4	5	water	water	NOUN
ajst-15577	4	6	pumps	pump	NOUN
ajst-15577	4	7	under	under	ADP
ajst-15577	4	8	different	different	ADJ
ajst-15577	4	9	operating	operating	NOUN
ajst-15577	4	10	conditions	condition	NOUN
ajst-15577	4	11	are	be	AUX
ajst-15577	4	12	preprocessed	preprocesse	VERB
ajst-15577	4	13	to	to	PART
ajst-15577	4	14	calculate	calculate	VERB
ajst-15577	4	15	their	their	PRON
ajst-15577	4	16	mfcc	mfcc	NOUN
ajst-15577	4	17	features	feature	NOUN
ajst-15577	4	18	as	as	ADP
ajst-15577	4	19	static	static	ADJ
ajst-15577	4	20	features	feature	NOUN
ajst-15577	4	21	,	,	PUNCT
ajst-15577	4	22	and	and	CCONJ
ajst-15577	4	23	further	far	ADV
ajst-15577	4	24	processed	process	VERB
ajst-15577	4	25	to	to	PART
ajst-15577	4	26	obtain	obtain	VERB
ajst-15577	4	27	the	the	DET
ajst-15577	4	28	first	first	ADJ
ajst-15577	4	29	-	-	PUNCT
ajst-15577	4	30	order	order	NOUN
ajst-15577	4	31	difference	difference	NOUN
ajst-15577	4	32	mfcc	mfcc	NOUN
ajst-15577	4	33	features	feature	VERB
ajst-15577	4	34	as	as	ADV
ajst-15577	4	35	well	well	ADV
ajst-15577	4	36	as	as	ADP
ajst-15577	4	37	the	the	DET
ajst-15577	4	38	second	second	ADJ
ajst-15577	4	39	-	-	PUNCT
ajst-15577	4	40	order	order	NOUN
ajst-15577	4	41	difference	difference	NOUN
ajst-15577	4	42	mfcc	mfcc	NOUN
ajst-15577	4	43	features	feature	VERB
ajst-15577	4	44	as	as	ADP
ajst-15577	4	45	dynamic	dynamic	ADJ
ajst-15577	4	46	features	feature	NOUN
ajst-15577	4	47	.	.	PUNCT
ajst-15577	5	1	in	in	ADP
ajst-15577	5	2	this	this	DET
ajst-15577	5	3	study	study	NOUN
ajst-15577	5	4	,	,	PUNCT
ajst-15577	5	5	the	the	DET
ajst-15577	5	6	audio	audio	ADJ
ajst-15577	5	7	dataset	dataset	NOUN
ajst-15577	5	8	of	of	ADP
ajst-15577	5	9	water	water	NOUN
ajst-15577	5	10	pumps	pump	NOUN
ajst-15577	5	11	recorded	record	VERB
ajst-15577	5	12	with	with	ADP
ajst-15577	5	13	ambient	ambient	ADJ
ajst-15577	5	14	noise	noise	NOUN
ajst-15577	5	15	in	in	ADP
ajst-15577	5	16	a	a	DET
ajst-15577	5	17	real	real	ADJ
ajst-15577	5	18	industrial	industrial	ADJ
ajst-15577	5	19	environment	environment	NOUN
ajst-15577	5	20	is	be	AUX
ajst-15577	5	21	used	use	VERB
ajst-15577	5	22	.	.	PUNCT
ajst-15577	6	1	usually	usually	ADV
ajst-15577	6	2	,	,	PUNCT
ajst-15577	6	3	fault	fault	VERB
ajst-15577	6	4	detection	detection	NOUN
ajst-15577	6	5	datasets	dataset	NOUN
ajst-15577	6	6	are	be	AUX
ajst-15577	6	7	unbalanced	unbalanced	ADJ
ajst-15577	6	8	because	because	SCONJ
ajst-15577	6	9	the	the	DET
ajst-15577	6	10	amount	amount	NOUN
ajst-15577	6	11	of	of	ADP
ajst-15577	6	12	fault	fault	NOUN
ajst-15577	6	13	data	datum	NOUN
ajst-15577	6	14	is	be	AUX
ajst-15577	6	15	limited	limited	ADJ
ajst-15577	6	16	.	.	PUNCT
ajst-15577	7	1	a	a	DET
ajst-15577	7	2	practical	practical	ADJ
ajst-15577	7	3	way	way	NOUN
ajst-15577	7	4	to	to	PART
ajst-15577	7	5	deal	deal	VERB
ajst-15577	7	6	with	with	ADP
ajst-15577	7	7	this	this	DET
ajst-15577	7	8	problem	problem	NOUN
ajst-15577	7	9	is	be	AUX
ajst-15577	7	10	to	to	PART
ajst-15577	7	11	use	use	VERB
ajst-15577	7	12	deep	deep	ADJ
ajst-15577	7	13	migration	migration	NOUN
ajst-15577	7	14	learning	learning	NOUN
ajst-15577	7	15	,	,	PUNCT
ajst-15577	7	16	where	where	SCONJ
ajst-15577	7	17	high	high	ADJ
ajst-15577	7	18	accuracy	accuracy	NOUN
ajst-15577	7	19	can	can	AUX
ajst-15577	7	20	be	be	AUX
ajst-15577	7	21	achieved	achieve	VERB
ajst-15577	7	22	with	with	ADP
ajst-15577	7	23	limited	limited	ADJ
ajst-15577	7	24	labeled	label	VERB
ajst-15577	7	25	data	datum	NOUN
ajst-15577	7	26	.	.	PUNCT
ajst-15577	8	1	in	in	ADP
ajst-15577	8	2	this	this	DET
ajst-15577	8	3	study	study	NOUN
ajst-15577	8	4	,	,	PUNCT
ajst-15577	8	5	a	a	DET
ajst-15577	8	6	migration	migration	NOUN
ajst-15577	8	7	learning	learn	VERB
ajst-15577	8	8	convolutional	convolutional	ADJ
ajst-15577	8	9	neural	neural	ADJ
ajst-15577	8	10	network	network	NOUN
ajst-15577	8	11	is	be	AUX
ajst-15577	8	12	introduced	introduce	VERB
ajst-15577	8	13	to	to	PART
ajst-15577	8	14	establish	establish	VERB
ajst-15577	8	15	a	a	DET
ajst-15577	8	16	pump	pump	NOUN
ajst-15577	8	17	fault	fault	NOUN
ajst-15577	8	18	diagnosis	diagnosis	NOUN
ajst-15577	8	19	model	model	NOUN
ajst-15577	8	20	.	.	PUNCT
ajst-15577	9	1	the	the	DET
ajst-15577	9	2	experimental	experimental	ADJ
ajst-15577	9	3	results	result	NOUN
ajst-15577	9	4	show	show	VERB
ajst-15577	9	5	that	that	SCONJ
ajst-15577	9	6	the	the	DET
ajst-15577	9	7	method	method	NOUN
ajst-15577	9	8	proposed	propose	VERB
ajst-15577	9	9	in	in	ADP
ajst-15577	9	10	this	this	DET
ajst-15577	9	11	study	study	NOUN
ajst-15577	9	12	can	can	AUX
ajst-15577	9	13	effectively	effectively	ADV
ajst-15577	9	14	recognize	recognize	VERB
ajst-15577	9	15	the	the	DET
ajst-15577	9	16	working	work	VERB
ajst-15577	9	17	state	state	NOUN
ajst-15577	9	18	of	of	ADP
ajst-15577	9	19	water	water	NOUN
ajst-15577	9	20	supply	supply	NOUN
ajst-15577	9	21	pumps	pump	NOUN
ajst-15577	9	22	with	with	ADP
ajst-15577	9	23	a	a	DET
ajst-15577	9	24	small	small	ADJ
ajst-15577	9	25	amount	amount	NOUN
ajst-15577	9	26	of	of	ADP
ajst-15577	9	27	sample	sample	NOUN
ajst-15577	9	28	data	datum	NOUN
ajst-15577	9	29	and	and	CCONJ
ajst-15577	9	30	model	model	NOUN
ajst-15577	9	31	parameters	parameter	NOUN
ajst-15577	9	32	.	.	PUNCT
ajst-15577	10	1	keywords	keyword	NOUN
ajst-15577	10	2	:	:	PUNCT
ajst-15577	10	3	fault	fault	VERB
ajst-15577	10	4	detection	detection	NOUN
ajst-15577	10	5	,	,	PUNCT
ajst-15577	10	6	mel	mel	PROPN
ajst-15577	10	7	frequency	frequency	PROPN
ajst-15577	10	8	cepstrum	cepstrum	NOUN
ajst-15577	10	9	factor	factor	NOUN
ajst-15577	10	10	,	,	PUNCT
ajst-15577	10	11	transfer	transfer	NOUN
ajst-15577	10	12	learning	learning	NOUN
ajst-15577	10	13	,	,	PUNCT
ajst-15577	10	14	convolutional	convolutional	ADJ
ajst-15577	10	15	neural	neural	ADJ
ajst-15577	10	16	network	network	NOUN
ajst-15577	10	17	.	.	PUNCT
ajst-15577	11	1	1	1	X
ajst-15577	11	2	.	.	X
ajst-15577	11	3	introduction	introduction	NOUN
ajst-15577	11	4	industrial	industrial	ADJ
ajst-15577	11	5	circulating	circulate	VERB
ajst-15577	11	6	water	water	NOUN
ajst-15577	11	7	pump	pump	NOUN
ajst-15577	11	8	is	be	AUX
ajst-15577	11	9	an	an	DET
ajst-15577	11	10	important	important	ADJ
ajst-15577	11	11	cooling	cool	VERB
ajst-15577	11	12	tool	tool	NOUN
ajst-15577	11	13	,	,	PUNCT
ajst-15577	11	14	which	which	PRON
ajst-15577	11	15	is	be	AUX
ajst-15577	11	16	widely	widely	ADV
ajst-15577	11	17	used	use	VERB
ajst-15577	11	18	in	in	ADP
ajst-15577	11	19	modern	modern	ADJ
ajst-15577	11	20	industrial	industrial	ADJ
ajst-15577	11	21	production	production	NOUN
ajst-15577	11	22	process	process	NOUN
ajst-15577	11	23	.	.	PUNCT
ajst-15577	12	1	water	water	NOUN
ajst-15577	12	2	pumps	pump	NOUN
ajst-15577	12	3	play	play	VERB
ajst-15577	12	4	an	an	DET
ajst-15577	12	5	important	important	ADJ
ajst-15577	12	6	role	role	NOUN
ajst-15577	12	7	in	in	ADP
ajst-15577	12	8	ensuring	ensure	VERB
ajst-15577	12	9	the	the	DET
ajst-15577	12	10	normal	normal	ADJ
ajst-15577	12	11	operation	operation	NOUN
ajst-15577	12	12	of	of	ADP
ajst-15577	12	13	production	production	NOUN
ajst-15577	12	14	and	and	CCONJ
ajst-15577	12	15	ensuring	ensure	VERB
ajst-15577	12	16	safe	safe	ADJ
ajst-15577	12	17	production	production	NOUN
ajst-15577	12	18	.	.	PUNCT
ajst-15577	13	1	industrial	industrial	ADJ
ajst-15577	13	2	circulating	circulate	VERB
ajst-15577	13	3	water	water	NOUN
ajst-15577	13	4	system	system	NOUN
ajst-15577	13	5	in	in	ADP
ajst-15577	13	6	the	the	DET
ajst-15577	13	7	blast	blast	NOUN
ajst-15577	13	8	furnace	furnace	NOUN
ajst-15577	13	9	steelmaking	steelmaking	NOUN
ajst-15577	13	10	and	and	CCONJ
ajst-15577	13	11	other	other	ADJ
ajst-15577	13	12	large	large	ADJ
ajst-15577	13	13	-	-	PUNCT
ajst-15577	13	14	scale	scale	NOUN
ajst-15577	13	15	industrial	industrial	ADJ
ajst-15577	13	16	production	production	NOUN
ajst-15577	13	17	process	process	NOUN
ajst-15577	13	18	consists	consist	VERB
ajst-15577	13	19	of	of	ADP
ajst-15577	13	20	multiple	multiple	ADJ
ajst-15577	13	21	large	large	ADJ
ajst-15577	13	22	water	water	NOUN
ajst-15577	13	23	pumps	pump	NOUN
ajst-15577	13	24	.	.	PUNCT
ajst-15577	14	1	the	the	DET
ajst-15577	14	2	performance	performance	NOUN
ajst-15577	14	3	of	of	ADP
ajst-15577	14	4	the	the	DET
ajst-15577	14	5	water	water	NOUN
ajst-15577	14	6	supply	supply	NOUN
ajst-15577	14	7	pumping	pump	VERB
ajst-15577	14	8	unit	unit	NOUN
ajst-15577	14	9	directly	directly	ADV
ajst-15577	14	10	affects	affect	VERB
ajst-15577	14	11	the	the	DET
ajst-15577	14	12	efficiency	efficiency	NOUN
ajst-15577	14	13	of	of	ADP
ajst-15577	14	14	the	the	DET
ajst-15577	14	15	entire	entire	ADJ
ajst-15577	14	16	water	water	NOUN
ajst-15577	14	17	transfer	transfer	NOUN
ajst-15577	14	18	system	system	NOUN
ajst-15577	14	19	.	.	PUNCT
ajst-15577	15	1	water	water	NOUN
ajst-15577	15	2	pump	pump	NOUN
ajst-15577	15	3	as	as	ADP
ajst-15577	15	4	a	a	DET
ajst-15577	15	5	typical	typical	ADJ
ajst-15577	15	6	rotating	rotate	VERB
ajst-15577	15	7	mechanism	mechanism	NOUN
ajst-15577	15	8	,	,	PUNCT
ajst-15577	15	9	in	in	ADP
ajst-15577	15	10	the	the	DET
ajst-15577	15	11	case	case	NOUN
ajst-15577	15	12	of	of	ADP
ajst-15577	15	13	long	long	ADJ
ajst-15577	15	14	time	time	NOUN
ajst-15577	15	15	highspeed	highspeed	NOUN
ajst-15577	15	16	operation	operation	NOUN
ajst-15577	15	17	is	be	AUX
ajst-15577	15	18	prone	prone	ADJ
ajst-15577	15	19	to	to	ADP
ajst-15577	15	20	bearing	bear	VERB
ajst-15577	15	21	damage	damage	NOUN
ajst-15577	15	22	,	,	PUNCT
ajst-15577	15	23	pin	pin	NOUN
ajst-15577	15	24	wear	wear	VERB
ajst-15577	15	25	,	,	PUNCT
ajst-15577	15	26	inhalation	inhalation	NOUN
ajst-15577	15	27	of	of	ADP
ajst-15577	15	28	foreign	foreign	ADJ
ajst-15577	15	29	objects	object	NOUN
ajst-15577	15	30	,	,	PUNCT
ajst-15577	15	31	shaft	shaft	NOUN
ajst-15577	15	32	misalignment	misalignment	NOUN
ajst-15577	15	33	and	and	CCONJ
ajst-15577	15	34	other	other	ADJ
ajst-15577	15	35	failures	failure	NOUN
ajst-15577	15	36	,	,	PUNCT
ajst-15577	15	37	which	which	PRON
ajst-15577	15	38	leads	lead	VERB
ajst-15577	15	39	to	to	ADP
ajst-15577	15	40	the	the	DET
ajst-15577	15	41	circulating	circulate	VERB
ajst-15577	15	42	water	water	NOUN
ajst-15577	15	43	system	system	NOUN
ajst-15577	15	44	cooling	cool	VERB
ajst-15577	15	45	water	water	NOUN
ajst-15577	15	46	supply	supply	NOUN
ajst-15577	15	47	is	be	AUX
ajst-15577	15	48	insufficient	insufficient	ADJ
ajst-15577	15	49	to	to	PART
ajst-15577	15	50	threaten	threaten	VERB
ajst-15577	15	51	the	the	DET
ajst-15577	15	52	safety	safety	NOUN
ajst-15577	15	53	of	of	ADP
ajst-15577	15	54	industrial	industrial	ADJ
ajst-15577	15	55	production	production	NOUN
ajst-15577	15	56	.	.	PUNCT
ajst-15577	16	1	water	water	NOUN
ajst-15577	16	2	pump	pump	NOUN
ajst-15577	16	3	fault	fault	NOUN
ajst-15577	16	4	detection	detection	NOUN
ajst-15577	16	5	and	and	CCONJ
ajst-15577	16	6	prediction	prediction	NOUN
ajst-15577	16	7	is	be	AUX
ajst-15577	16	8	one	one	NUM
ajst-15577	16	9	of	of	ADP
ajst-15577	16	10	the	the	DET
ajst-15577	16	11	important	important	ADJ
ajst-15577	16	12	research	research	NOUN
ajst-15577	16	13	areas	area	NOUN
ajst-15577	16	14	to	to	PART
ajst-15577	16	15	ensure	ensure	VERB
ajst-15577	16	16	the	the	DET
ajst-15577	16	17	safe	safe	ADJ
ajst-15577	16	18	and	and	CCONJ
ajst-15577	16	19	reliable	reliable	ADJ
ajst-15577	16	20	operation	operation	NOUN
ajst-15577	16	21	of	of	ADP
ajst-15577	16	22	industrial	industrial	ADJ
ajst-15577	16	23	production	production	NOUN
ajst-15577	16	24	processes	process	NOUN
ajst-15577	16	25	.	.	PUNCT
ajst-15577	17	1	the	the	DET
ajst-15577	17	2	fault	fault	NOUN
ajst-15577	17	3	or	or	CCONJ
ajst-15577	17	4	abnormality	abnormality	NOUN
ajst-15577	17	5	detection	detection	NOUN
ajst-15577	17	6	of	of	ADP
ajst-15577	17	7	water	water	NOUN
ajst-15577	17	8	pumps	pump	NOUN
ajst-15577	17	9	mainly	mainly	ADV
ajst-15577	17	10	includes	include	VERB
ajst-15577	17	11	detection	detection	NOUN
ajst-15577	17	12	methods	method	NOUN
ajst-15577	17	13	based	base	VERB
ajst-15577	17	14	on	on	ADP
ajst-15577	17	15	sound	sound	ADJ
ajst-15577	17	16	signals	signal	NOUN
ajst-15577	17	17	and	and	CCONJ
ajst-15577	17	18	detection	detection	NOUN
ajst-15577	17	19	methods	method	NOUN
ajst-15577	17	20	based	base	VERB
ajst-15577	17	21	on	on	ADP
ajst-15577	17	22	vibration	vibration	NOUN
ajst-15577	17	23	signals	signal	NOUN
ajst-15577	17	24	.	.	PUNCT
ajst-15577	18	1	compared	compare	VERB
ajst-15577	18	2	with	with	ADP
ajst-15577	18	3	other	other	ADJ
ajst-15577	18	4	methods	method	NOUN
ajst-15577	18	5	,	,	PUNCT
ajst-15577	18	6	sound	sound	NOUN
ajst-15577	18	7	signal	signal	NOUN
ajst-15577	18	8	acquisition	acquisition	NOUN
ajst-15577	18	9	and	and	CCONJ
ajst-15577	18	10	processing	processing	NOUN
ajst-15577	18	11	technology	technology	NOUN
ajst-15577	18	12	has	have	AUX
ajst-15577	18	13	been	be	AUX
ajst-15577	18	14	very	very	ADV
ajst-15577	18	15	mature	mature	ADJ
ajst-15577	18	16	,	,	PUNCT
ajst-15577	18	17	sound	sound	ADJ
ajst-15577	18	18	signal	signal	NOUN
ajst-15577	18	19	-	-	PUNCT
ajst-15577	18	20	based	base	VERB
ajst-15577	18	21	detection	detection	NOUN
ajst-15577	18	22	methods	method	NOUN
ajst-15577	18	23	have	have	VERB
ajst-15577	18	24	many	many	ADJ
ajst-15577	18	25	advantages	advantage	NOUN
ajst-15577	18	26	[	[	X
ajst-15577	18	27	1	1	NUM
ajst-15577	18	28	]	]	X
ajst-15577	18	29	:	:	PUNCT
ajst-15577	18	30	real	real	ADJ
ajst-15577	18	31	-	-	PUNCT
ajst-15577	18	32	time	time	NOUN
ajst-15577	18	33	,	,	PUNCT
ajst-15577	18	34	real	real	ADJ
ajst-15577	18	35	-	-	PUNCT
ajst-15577	18	36	time	time	NOUN
ajst-15577	18	37	acquisition	acquisition	NOUN
ajst-15577	18	38	and	and	CCONJ
ajst-15577	18	39	processing	processing	NOUN
ajst-15577	18	40	of	of	ADP
ajst-15577	18	41	sound	sound	ADJ
ajst-15577	18	42	signals	signal	NOUN
ajst-15577	18	43	generated	generate	VERB
ajst-15577	18	44	by	by	ADP
ajst-15577	18	45	the	the	DET
ajst-15577	18	46	pump	pump	NOUN
ajst-15577	18	47	,	,	PUNCT
ajst-15577	18	48	realtime	realtime	ADJ
ajst-15577	18	49	monitoring	monitoring	NOUN
ajst-15577	18	50	of	of	ADP
ajst-15577	18	51	the	the	DET
ajst-15577	18	52	pump	pump	NOUN
ajst-15577	18	53	's	's	PART
ajst-15577	18	54	operating	operating	NOUN
ajst-15577	18	55	status	status	NOUN
ajst-15577	18	56	;	;	PUNCT
ajst-15577	18	57	data	datum	NOUN
ajst-15577	18	58	acquisition	acquisition	NOUN
ajst-15577	18	59	is	be	AUX
ajst-15577	18	60	easy	easy	ADJ
ajst-15577	18	61	,	,	PUNCT
ajst-15577	18	62	only	only	ADV
ajst-15577	18	63	through	through	ADP
ajst-15577	18	64	the	the	DET
ajst-15577	18	65	microphone	microphone	NOUN
ajst-15577	18	66	and	and	CCONJ
ajst-15577	18	67	other	other	ADJ
ajst-15577	18	68	simple	simple	ADJ
ajst-15577	18	69	equipment	equipment	NOUN
ajst-15577	18	70	can	can	AUX
ajst-15577	18	71	be	be	AUX
ajst-15577	18	72	obtained	obtain	VERB
ajst-15577	18	73	by	by	ADP
ajst-15577	18	74	the	the	DET
ajst-15577	18	75	pump	pump	NOUN
ajst-15577	18	76	's	's	PART
ajst-15577	18	77	sound	sound	NOUN
ajst-15577	18	78	signals	signal	NOUN
ajst-15577	18	79	;	;	PUNCT
ajst-15577	18	80	the	the	DET
ajst-15577	18	81	detection	detection	NOUN
ajst-15577	18	82	results	result	NOUN
ajst-15577	18	83	are	be	AUX
ajst-15577	18	84	accurate	accurate	ADJ
ajst-15577	18	85	,	,	PUNCT
ajst-15577	18	86	through	through	ADP
ajst-15577	18	87	the	the	DET
ajst-15577	18	88	signal	signal	NOUN
ajst-15577	18	89	processing	processing	NOUN
ajst-15577	18	90	and	and	CCONJ
ajst-15577	18	91	fault	fault	VERB
ajst-15577	18	92	detection	detection	NOUN
ajst-15577	18	93	of	of	ADP
ajst-15577	18	94	the	the	DET
ajst-15577	18	95	sound	sound	ADJ
ajst-15577	18	96	signal	signal	NOUN
ajst-15577	18	97	.	.	PUNCT
ajst-15577	19	1	accurate	accurate	ADJ
ajst-15577	19	2	detection	detection	NOUN
ajst-15577	19	3	results	result	NOUN
ajst-15577	19	4	,	,	PUNCT
ajst-15577	19	5	through	through	ADP
ajst-15577	19	6	the	the	DET
ajst-15577	19	7	sound	sound	ADJ
ajst-15577	19	8	signal	signal	NOUN
ajst-15577	19	9	signal	signal	NOUN
ajst-15577	19	10	processing	processing	NOUN
ajst-15577	19	11	and	and	CCONJ
ajst-15577	19	12	fault	fault	VERB
ajst-15577	19	13	detection	detection	NOUN
ajst-15577	19	14	technology	technology	NOUN
ajst-15577	19	15	to	to	PART
ajst-15577	19	16	achieve	achieve	VERB
ajst-15577	19	17	rapid	rapid	ADJ
ajst-15577	19	18	and	and	CCONJ
ajst-15577	19	19	accurate	accurate	ADJ
ajst-15577	19	20	diagnosis	diagnosis	NOUN
ajst-15577	19	21	of	of	ADP
ajst-15577	19	22	pump	pump	ADJ
ajst-15577	19	23	failure	failure	NOUN
ajst-15577	19	24	;	;	PUNCT
ajst-15577	19	25	at	at	ADP
ajst-15577	19	26	the	the	DET
ajst-15577	19	27	same	same	ADJ
ajst-15577	19	28	time	time	NOUN
ajst-15577	19	29	,	,	PUNCT
ajst-15577	19	30	as	as	ADP
ajst-15577	19	31	a	a	DET
ajst-15577	19	32	non	non	ADJ
ajst-15577	19	33	-	-	ADJ
ajst-15577	19	34	contact	contact	ADJ
ajst-15577	19	35	detection	detection	NOUN
ajst-15577	19	36	method	method	NOUN
ajst-15577	19	37	,	,	PUNCT
ajst-15577	19	38	no	no	DET
ajst-15577	19	39	need	need	NOUN
ajst-15577	19	40	to	to	PART
ajst-15577	19	41	dismantle	dismantle	VERB
ajst-15577	19	42	the	the	DET
ajst-15577	19	43	pump	pump	NOUN
ajst-15577	19	44	or	or	CCONJ
ajst-15577	19	45	change	change	VERB
ajst-15577	19	46	its	its	PRON
ajst-15577	19	47	operating	operate	VERB
ajst-15577	19	48	state	state	NOUN
ajst-15577	19	49	during	during	ADP
ajst-15577	19	50	the	the	DET
ajst-15577	19	51	detection	detection	NOUN
ajst-15577	19	52	,	,	PUNCT
ajst-15577	19	53	to	to	PART
ajst-15577	19	54	avoid	avoid	VERB
ajst-15577	19	55	the	the	DET
ajst-15577	19	56	inconvenience	inconvenience	NOUN
ajst-15577	19	57	caused	cause	VERB
ajst-15577	19	58	by	by	ADP
ajst-15577	19	59	the	the	DET
ajst-15577	19	60	traditional	traditional	ADJ
ajst-15577	19	61	detection	detection	NOUN
ajst-15577	19	62	methods	method	NOUN
ajst-15577	19	63	[	[	X
ajst-15577	19	64	2	2	NUM
ajst-15577	19	65	]	]	PUNCT
ajst-15577	19	66	.	.	PUNCT
ajst-15577	20	1	the	the	DET
ajst-15577	20	2	mechanical	mechanical	ADJ
ajst-15577	20	3	structure	structure	NOUN
ajst-15577	20	4	of	of	ADP
ajst-15577	20	5	the	the	DET
ajst-15577	20	6	pump	pump	NOUN
ajst-15577	20	7	determines	determine	VERB
ajst-15577	20	8	that	that	SCONJ
ajst-15577	20	9	its	its	PRON
ajst-15577	20	10	sound	sound	NOUN
ajst-15577	20	11	signal	signal	NOUN
ajst-15577	20	12	is	be	AUX
ajst-15577	20	13	closely	closely	ADV
ajst-15577	20	14	related	relate	VERB
ajst-15577	20	15	to	to	ADP
ajst-15577	20	16	its	its	PRON
ajst-15577	20	17	mechanical	mechanical	ADJ
ajst-15577	20	18	state	state	NOUN
ajst-15577	20	19	.	.	PUNCT
ajst-15577	21	1	different	different	ADJ
ajst-15577	21	2	sounds	sound	NOUN
ajst-15577	21	3	appearing	appear	VERB
ajst-15577	21	4	in	in	ADP
ajst-15577	21	5	the	the	DET
ajst-15577	21	6	operation	operation	NOUN
ajst-15577	21	7	of	of	ADP
ajst-15577	21	8	the	the	DET
ajst-15577	21	9	pump	pump	NOUN
ajst-15577	21	10	can	can	AUX
ajst-15577	21	11	reflect	reflect	VERB
ajst-15577	21	12	different	different	ADJ
ajst-15577	21	13	abnormal	abnormal	ADJ
ajst-15577	21	14	states	state	NOUN
ajst-15577	21	15	of	of	ADP
ajst-15577	21	16	the	the	DET
ajst-15577	21	17	pump	pump	NOUN
ajst-15577	21	18	,	,	PUNCT
ajst-15577	21	19	such	such	ADJ
ajst-15577	21	20	as	as	ADP
ajst-15577	21	21	bearing	bear	VERB
ajst-15577	21	22	damage	damage	NOUN
ajst-15577	21	23	,	,	PUNCT
ajst-15577	21	24	pin	pin	NOUN
ajst-15577	21	25	wear	wear	VERB
ajst-15577	21	26	,	,	PUNCT
ajst-15577	21	27	inhalation	inhalation	NOUN
ajst-15577	21	28	of	of	ADP
ajst-15577	21	29	foreign	foreign	ADJ
ajst-15577	21	30	matter	matter	NOUN
ajst-15577	21	31	,	,	PUNCT
ajst-15577	21	32	etc	etc	X
ajst-15577	21	33	.	.	X
ajst-15577	22	1	in	in	ADP
ajst-15577	22	2	addition	addition	NOUN
ajst-15577	22	3	,	,	PUNCT
ajst-15577	22	4	the	the	DET
ajst-15577	22	5	long	long	ADJ
ajst-15577	22	6	running	running	NOUN
ajst-15577	22	7	time	time	NOUN
ajst-15577	22	8	of	of	ADP
ajst-15577	22	9	the	the	DET
ajst-15577	22	10	pump	pump	NOUN
ajst-15577	22	11	can	can	AUX
ajst-15577	22	12	also	also	ADV
ajst-15577	22	13	lead	lead	VERB
ajst-15577	22	14	to	to	ADP
ajst-15577	22	15	changes	change	NOUN
ajst-15577	22	16	in	in	ADP
ajst-15577	22	17	the	the	DET
ajst-15577	22	18	mechanical	mechanical	ADJ
ajst-15577	22	19	structure	structure	NOUN
ajst-15577	22	20	,	,	PUNCT
ajst-15577	22	21	which	which	PRON
ajst-15577	22	22	can	can	AUX
ajst-15577	22	23	affect	affect	VERB
ajst-15577	22	24	the	the	DET
ajst-15577	22	25	audible	audible	ADJ
ajst-15577	22	26	sound	sound	NOUN
ajst-15577	22	27	signal	signal	NOUN
ajst-15577	22	28	[	[	X
ajst-15577	22	29	3	3	NUM
ajst-15577	22	30	]	]	PUNCT
ajst-15577	22	31	.	.	PUNCT
ajst-15577	23	1	water	water	NOUN
ajst-15577	23	2	pump	pump	NOUN
ajst-15577	23	3	fault	fault	NOUN
ajst-15577	23	4	detection	detection	NOUN
ajst-15577	23	5	methods	method	NOUN
ajst-15577	23	6	based	base	VERB
ajst-15577	23	7	on	on	ADP
ajst-15577	23	8	sound	sound	ADJ
ajst-15577	23	9	signals	signal	NOUN
ajst-15577	23	10	can	can	AUX
ajst-15577	23	11	be	be	AUX
ajst-15577	23	12	divided	divide	VERB
ajst-15577	23	13	into	into	ADP
ajst-15577	23	14	methods	method	NOUN
ajst-15577	23	15	based	base	VERB
ajst-15577	23	16	on	on	ADP
ajst-15577	23	17	manual	manual	ADJ
ajst-15577	23	18	identification	identification	NOUN
ajst-15577	23	19	,	,	PUNCT
ajst-15577	23	20	and	and	CCONJ
ajst-15577	23	21	methods	method	NOUN
ajst-15577	23	22	based	base	VERB
ajst-15577	23	23	on	on	ADP
ajst-15577	23	24	signal	signal	ADJ
ajst-15577	23	25	feature	feature	NOUN
ajst-15577	23	26	extraction	extraction	NOUN
ajst-15577	23	27	and	and	CCONJ
ajst-15577	23	28	classification	classification	NOUN
ajst-15577	23	29	identification	identification	NOUN
ajst-15577	23	30	[	[	X
ajst-15577	23	31	4	4	NUM
ajst-15577	23	32	]	]	PUNCT
ajst-15577	23	33	.	.	PUNCT
ajst-15577	24	1	artificial	artificial	ADJ
ajst-15577	24	2	identification	identification	NOUN
ajst-15577	24	3	methods	method	NOUN
ajst-15577	24	4	are	be	AUX
ajst-15577	24	5	mainly	mainly	ADV
ajst-15577	24	6	through	through	ADP
ajst-15577	24	7	manual	manual	ADJ
ajst-15577	24	8	listening	listen	VERB
ajst-15577	24	9	to	to	ADP
ajst-15577	24	10	the	the	DET
ajst-15577	24	11	sound	sound	NOUN
ajst-15577	24	12	signal	signal	NOUN
ajst-15577	24	13	generated	generate	VERB
ajst-15577	24	14	by	by	ADP
ajst-15577	24	15	the	the	DET
ajst-15577	24	16	pump	pump	NOUN
ajst-15577	24	17	,	,	PUNCT
ajst-15577	24	18	fault	fault	VERB
ajst-15577	24	19	diagnosis	diagnosis	NOUN
ajst-15577	24	20	and	and	CCONJ
ajst-15577	24	21	classification	classification	NOUN
ajst-15577	24	22	based	base	VERB
ajst-15577	24	23	on	on	ADP
ajst-15577	24	24	experience	experience	NOUN
ajst-15577	24	25	and	and	CCONJ
ajst-15577	24	26	knowledge	knowledge	NOUN
ajst-15577	24	27	,	,	PUNCT
ajst-15577	24	28	this	this	DET
ajst-15577	24	29	method	method	NOUN
ajst-15577	24	30	has	have	VERB
ajst-15577	24	31	the	the	DET
ajst-15577	24	32	advantages	advantage	NOUN
ajst-15577	24	33	of	of	ADP
ajst-15577	24	34	intuition	intuition	NOUN
ajst-15577	24	35	,	,	PUNCT
ajst-15577	24	36	simplicity	simplicity	NOUN
ajst-15577	24	37	,	,	PUNCT
ajst-15577	24	38	etc	etc	X
ajst-15577	24	39	.	.	X
ajst-15577	24	40	,	,	PUNCT
ajst-15577	24	41	but	but	CCONJ
ajst-15577	24	42	it	it	PRON
ajst-15577	24	43	is	be	AUX
ajst-15577	24	44	highly	highly	ADV
ajst-15577	24	45	subjective	subjective	ADJ
ajst-15577	24	46	,	,	PUNCT
ajst-15577	24	47	and	and	CCONJ
ajst-15577	24	48	it	it	PRON
ajst-15577	24	49	is	be	AUX
ajst-15577	24	50	difficult	difficult	ADJ
ajst-15577	24	51	to	to	PART
ajst-15577	24	52	ensure	ensure	VERB
ajst-15577	24	53	the	the	DET
ajst-15577	24	54	diagnostic	diagnostic	ADJ
ajst-15577	24	55	accuracy	accuracy	NOUN
ajst-15577	24	56	and	and	CCONJ
ajst-15577	24	57	efficiency	efficiency	NOUN
ajst-15577	24	58	.	.	PUNCT
ajst-15577	25	1	in	in	ADP
ajst-15577	25	2	contrast	contrast	NOUN
ajst-15577	25	3	,	,	PUNCT
ajst-15577	25	4	the	the	DET
ajst-15577	25	5	method	method	NOUN
ajst-15577	25	6	based	base	VERB
ajst-15577	25	7	on	on	ADP
ajst-15577	25	8	signal	signal	ADJ
ajst-15577	25	9	feature	feature	NOUN
ajst-15577	25	10	extraction	extraction	NOUN
ajst-15577	25	11	and	and	CCONJ
ajst-15577	25	12	classification	classification	NOUN
ajst-15577	25	13	and	and	CCONJ
ajst-15577	25	14	identification	identification	NOUN
ajst-15577	25	15	,	,	PUNCT
ajst-15577	25	16	through	through	ADP
ajst-15577	25	17	the	the	DET
ajst-15577	25	18	acquisition	acquisition	NOUN
ajst-15577	25	19	,	,	PUNCT
ajst-15577	25	20	processing	processing	NOUN
ajst-15577	25	21	and	and	CCONJ
ajst-15577	25	22	feature	feature	NOUN
ajst-15577	25	23	extraction	extraction	NOUN
ajst-15577	25	24	of	of	ADP
ajst-15577	25	25	acoustic	acoustic	ADJ
ajst-15577	25	26	signals	signal	NOUN
ajst-15577	25	27	,	,	PUNCT
ajst-15577	25	28	extracts	extract	VERB
ajst-15577	25	29	the	the	DET
ajst-15577	25	30	characteristic	characteristic	ADJ
ajst-15577	25	31	parameters	parameter	NOUN
ajst-15577	25	32	that	that	PRON
ajst-15577	25	33	can	can	AUX
ajst-15577	25	34	reflect	reflect	VERB
ajst-15577	25	35	the	the	DET
ajst-15577	25	36	pump	pump	NOUN
ajst-15577	25	37	failure	failure	NOUN
ajst-15577	25	38	,	,	PUNCT
ajst-15577	25	39	and	and	CCONJ
ajst-15577	25	40	then	then	ADV
ajst-15577	25	41	classifies	classify	VERB
ajst-15577	25	42	and	and	CCONJ
ajst-15577	25	43	diagnoses	diagnose	VERB
ajst-15577	25	44	the	the	DET
ajst-15577	25	45	pump	pump	NOUN
ajst-15577	25	46	failure	failure	NOUN
ajst-15577	25	47	through	through	ADP
ajst-15577	25	48	the	the	DET
ajst-15577	25	49	classifier	classifier	NOUN
ajst-15577	25	50	.	.	PUNCT
ajst-15577	26	1	in	in	ADP
ajst-15577	26	2	terms	term	NOUN
ajst-15577	26	3	of	of	ADP
ajst-15577	26	4	acoustic	acoustic	ADJ
ajst-15577	26	5	feature	feature	NOUN
ajst-15577	26	6	extraction	extraction	NOUN
ajst-15577	26	7	,	,	PUNCT
ajst-15577	26	8	the	the	DET
ajst-15577	26	9	commonly	commonly	ADV
ajst-15577	26	10	used	use	VERB
ajst-15577	26	11	feature	feature	NOUN
ajst-15577	26	12	parameters	parameter	NOUN
ajst-15577	26	13	in	in	ADP
ajst-15577	26	14	the	the	DET
ajst-15577	26	15	existing	exist	VERB
ajst-15577	26	16	sound	sound	NOUN
ajst-15577	26	17	-	-	PUNCT
ajst-15577	26	18	based	base	VERB
ajst-15577	26	19	pump	pump	NOUN
ajst-15577	26	20	fault	fault	NOUN
ajst-15577	26	21	identification	identification	NOUN
ajst-15577	26	22	research	research	NOUN
ajst-15577	26	23	are	be	AUX
ajst-15577	26	24	meier	meier	PROPN
ajst-15577	26	25	frequency	frequency	PROPN
ajst-15577	26	26	cepstrum	cepstrum	PROPN
ajst-15577	26	27	coefficient	coefficient	NOUN
ajst-15577	26	28	(	(	PUNCT
ajst-15577	26	29	mfcc	mfcc	NOUN
ajst-15577	26	30	)	)	PUNCT
ajst-15577	26	31	,	,	PUNCT
ajst-15577	26	32	linear	linear	ADJ
ajst-15577	26	33	prediction	prediction	NOUN
ajst-15577	26	34	cepstrum	cepstrum	NOUN
ajst-15577	26	35	coefficient	coefficient	NOUN
ajst-15577	26	36	(	(	PUNCT
ajst-15577	26	37	lpcc	lpcc	NOUN
ajst-15577	26	38	)	)	PUNCT
ajst-15577	26	39	,	,	PUNCT
ajst-15577	26	40	and	and	CCONJ
ajst-15577	26	41	gammatone	gammatone	NOUN
ajst-15577	26	42	frequency	frequency	NOUN
ajst-15577	26	43	cepstrum	cepstrum	NOUN
ajst-15577	26	44	coefficient	coefficient	NOUN
ajst-15577	26	45	(	(	PUNCT
ajst-15577	26	46	gfcc	gfcc	NOUN
ajst-15577	26	47	)	)	PUNCT
ajst-15577	26	48	and	and	CCONJ
ajst-15577	26	49	so	so	ADV
ajst-15577	26	50	on	on	ADP
ajst-15577	26	51	[	[	X
ajst-15577	26	52	5	5	NUM
ajst-15577	26	53	]	]	PUNCT
ajst-15577	26	54	,	,	PUNCT
ajst-15577	26	55	which	which	PRON
ajst-15577	26	56	have	have	AUX
ajst-15577	26	57	been	be	AUX
ajst-15577	26	58	researched	research	VERB
ajst-15577	26	59	by	by	ADP
ajst-15577	26	60	a	a	DET
ajst-15577	26	61	large	large	ADJ
ajst-15577	26	62	number	number	NOUN
ajst-15577	26	63	of	of	ADP
ajst-15577	26	64	scholars	scholar	NOUN
ajst-15577	26	65	and	and	CCONJ
ajst-15577	26	66	achieved	achieve	VERB
ajst-15577	26	67	relevant	relevant	ADJ
ajst-15577	26	68	results	result	NOUN
ajst-15577	26	69	.	.	PUNCT
ajst-15577	27	1	practice	practice	NOUN
ajst-15577	27	2	and	and	CCONJ
ajst-15577	27	3	research	research	NOUN
ajst-15577	27	4	have	have	AUX
ajst-15577	27	5	shown	show	VERB
ajst-15577	27	6	that	that	SCONJ
ajst-15577	27	7	the	the	DET
ajst-15577	27	8	failure	failure	NOUN
ajst-15577	27	9	state	state	NOUN
ajst-15577	27	10	of	of	ADP
ajst-15577	27	11	the	the	DET
ajst-15577	27	12	water	water	NOUN
ajst-15577	27	13	supply	supply	NOUN
ajst-15577	27	14	pump	pump	NOUN
ajst-15577	27	15	during	during	ADP
ajst-15577	27	16	operation	operation	NOUN
ajst-15577	27	17	is	be	AUX
ajst-15577	27	18	strongly	strongly	ADV
ajst-15577	27	19	correlated	correlate	VERB
ajst-15577	27	20	with	with	ADP
ajst-15577	27	21	the	the	DET
ajst-15577	27	22	sound	sound	ADJ
ajst-15577	27	23	signal	signal	NOUN
ajst-15577	27	24	on	on	ADP
ajst-15577	27	25	its	its	PRON
ajst-15577	27	26	drive	drive	ADJ
ajst-15577	27	27	end	end	NOUN
ajst-15577	27	28	.	.	PUNCT
ajst-15577	28	1	therefore	therefore	ADV
ajst-15577	28	2	,	,	PUNCT
ajst-15577	28	3	collecting	collect	VERB
ajst-15577	28	4	the	the	DET
ajst-15577	28	5	sound	sound	NOUN
ajst-15577	28	6	signals	signal	NOUN
ajst-15577	28	7	from	from	ADP
ajst-15577	28	8	the	the	DET
ajst-15577	28	9	drive	drive	ADJ
ajst-15577	28	10	end	end	NOUN
ajst-15577	28	11	of	of	ADP
ajst-15577	28	12	the	the	DET
ajst-15577	28	13	water	water	NOUN
ajst-15577	28	14	supply	supply	NOUN
ajst-15577	28	15	pump	pump	VERB
ajst-15577	28	16	and	and	CCONJ
ajst-15577	28	17	analyzing	analyze	VERB
ajst-15577	28	18	them	they	PRON
ajst-15577	28	19	is	be	AUX
ajst-15577	28	20	an	an	DET
ajst-15577	28	21	effective	effective	ADJ
ajst-15577	28	22	means	mean	NOUN
ajst-15577	28	23	of	of	ADP
ajst-15577	28	24	troubleshooting	troubleshoot	VERB
ajst-15577	28	25	the	the	DET
ajst-15577	28	26	water	water	NOUN
ajst-15577	28	27	supply	supply	NOUN
ajst-15577	28	28	pump	pump	NOUN
ajst-15577	28	29	.	.	PUNCT
ajst-15577	29	1	traditional	traditional	ADJ
ajst-15577	29	2	data	data	NOUN
ajst-15577	29	3	-	-	PUNCT
ajst-15577	29	4	driven	drive	VERB
ajst-15577	29	5	fault	fault	NOUN
ajst-15577	29	6	diagnosis	diagnosis	NOUN
ajst-15577	29	7	methods	method	NOUN
ajst-15577	29	8	usually	usually	ADV
ajst-15577	29	9	require	require	VERB
ajst-15577	29	10	accurate	accurate	ADJ
ajst-15577	29	11	mathematical	mathematical	ADJ
ajst-15577	29	12	models	model	NOUN
ajst-15577	29	13	.	.	PUNCT
ajst-15577	30	1	with	with	ADP
ajst-15577	30	2	the	the	DET
ajst-15577	30	3	continuous	continuous	ADJ
ajst-15577	30	4	improvement	improvement	NOUN
ajst-15577	30	5	of	of	ADP
ajst-15577	30	6	the	the	DET
ajst-15577	30	7	pump	pump	NOUN
ajst-15577	30	8	structure	structure	NOUN
ajst-15577	30	9	,	,	PUNCT
ajst-15577	30	10	the	the	DET
ajst-15577	30	11	fault	fault	NOUN
ajst-15577	30	12	conditions	condition	NOUN
ajst-15577	30	13	are	be	AUX
ajst-15577	30	14	becoming	become	VERB
ajst-15577	30	15	more	more	ADV
ajst-15577	30	16	and	and	CCONJ
ajst-15577	30	17	more	more	ADJ
ajst-15577	30	18	91	91	NUM
ajst-15577	30	19	complex	complex	ADJ
ajst-15577	30	20	,	,	PUNCT
ajst-15577	30	21	and	and	CCONJ
ajst-15577	30	22	it	it	PRON
ajst-15577	30	23	is	be	AUX
ajst-15577	30	24	more	more	ADV
ajst-15577	30	25	difficult	difficult	ADJ
ajst-15577	30	26	to	to	PART
ajst-15577	30	27	accurately	accurately	ADV
ajst-15577	30	28	detect	detect	VERB
ajst-15577	30	29	faulty	faulty	ADJ
ajst-15577	30	30	sound	sound	NOUN
ajst-15577	30	31	signals	signal	NOUN
ajst-15577	30	32	using	use	VERB
ajst-15577	30	33	traditional	traditional	ADJ
ajst-15577	30	34	sound	sound	ADJ
ajst-15577	30	35	signal	signal	NOUN
ajst-15577	30	36	processing	processing	NOUN
ajst-15577	30	37	methods	method	NOUN
ajst-15577	30	38	,	,	PUNCT
ajst-15577	30	39	and	and	CCONJ
ajst-15577	30	40	it	it	PRON
ajst-15577	30	41	is	be	AUX
ajst-15577	30	42	difficult	difficult	ADJ
ajst-15577	30	43	to	to	PART
ajst-15577	30	44	meet	meet	VERB
ajst-15577	30	45	the	the	DET
ajst-15577	30	46	practical	practical	ADJ
ajst-15577	30	47	needs	need	NOUN
ajst-15577	30	48	.	.	PUNCT
ajst-15577	31	1	in	in	ADP
ajst-15577	31	2	recent	recent	ADJ
ajst-15577	31	3	years	year	NOUN
ajst-15577	31	4	,	,	PUNCT
ajst-15577	31	5	researchers	researcher	NOUN
ajst-15577	31	6	have	have	AUX
ajst-15577	31	7	introduced	introduce	VERB
ajst-15577	31	8	deep	deep	ADJ
ajst-15577	31	9	learning	learning	NOUN
ajst-15577	31	10	algorithms	algorithm	NOUN
ajst-15577	31	11	into	into	ADP
ajst-15577	31	12	fault	fault	NOUN
ajst-15577	31	13	diagnosis	diagnosis	NOUN
ajst-15577	31	14	related	relate	VERB
ajst-15577	31	15	fields	field	NOUN
ajst-15577	31	16	and	and	CCONJ
ajst-15577	31	17	have	have	AUX
ajst-15577	31	18	made	make	VERB
ajst-15577	31	19	important	important	ADJ
ajst-15577	31	20	progress	progress	NOUN
ajst-15577	31	21	[	[	X
ajst-15577	31	22	6	6	NUM
ajst-15577	31	23	-	-	SYM
ajst-15577	31	24	8	8	NUM
ajst-15577	31	25	]	]	PUNCT
ajst-15577	31	26	.	.	PUNCT
ajst-15577	32	1	industrial	industrial	ADJ
ajst-15577	32	2	circulating	circulate	VERB
ajst-15577	32	3	water	water	NOUN
ajst-15577	32	4	system	system	NOUN
ajst-15577	32	5	water	water	NOUN
ajst-15577	32	6	supply	supply	NOUN
ajst-15577	32	7	pump	pump	NOUN
ajst-15577	32	8	is	be	AUX
ajst-15577	32	9	a	a	DET
ajst-15577	32	10	large	large	ADJ
ajst-15577	32	11	-	-	PUNCT
ajst-15577	32	12	scale	scale	NOUN
ajst-15577	32	13	equipment	equipment	NOUN
ajst-15577	32	14	,	,	PUNCT
ajst-15577	32	15	the	the	DET
ajst-15577	32	16	actual	actual	ADJ
ajst-15577	32	17	work	work	NOUN
ajst-15577	32	18	of	of	ADP
ajst-15577	32	19	more	more	ADJ
ajst-15577	32	20	types	type	NOUN
ajst-15577	32	21	of	of	ADP
ajst-15577	32	22	faults	fault	NOUN
ajst-15577	32	23	and	and	CCONJ
ajst-15577	32	24	relatively	relatively	ADV
ajst-15577	32	25	low	low	ADJ
ajst-15577	32	26	frequency	frequency	NOUN
ajst-15577	32	27	,	,	PUNCT
ajst-15577	32	28	even	even	ADV
ajst-15577	32	29	if	if	SCONJ
ajst-15577	32	30	the	the	DET
ajst-15577	32	31	construction	construction	NOUN
ajst-15577	32	32	of	of	ADP
ajst-15577	32	33	test	test	NOUN
ajst-15577	32	34	platforms	platform	NOUN
ajst-15577	32	35	to	to	PART
ajst-15577	32	36	simulate	simulate	VERB
ajst-15577	32	37	the	the	DET
ajst-15577	32	38	actual	actual	ADJ
ajst-15577	32	39	faults	fault	NOUN
ajst-15577	32	40	need	need	VERB
ajst-15577	32	41	to	to	PART
ajst-15577	32	42	spend	spend	VERB
ajst-15577	32	43	a	a	DET
ajst-15577	32	44	huge	huge	ADJ
ajst-15577	32	45	amount	amount	NOUN
ajst-15577	32	46	of	of	ADP
ajst-15577	32	47	manpower	manpower	NOUN
ajst-15577	32	48	and	and	CCONJ
ajst-15577	32	49	material	material	NOUN
ajst-15577	32	50	resources	resource	NOUN
ajst-15577	32	51	,	,	PUNCT
ajst-15577	32	52	so	so	ADV
ajst-15577	32	53	the	the	DET
ajst-15577	32	54	relative	relative	ADJ
ajst-15577	32	55	lack	lack	NOUN
ajst-15577	32	56	of	of	ADP
ajst-15577	32	57	training	training	NOUN
ajst-15577	32	58	samples	sample	NOUN
ajst-15577	32	59	is	be	AUX
ajst-15577	32	60	one	one	NUM
ajst-15577	32	61	of	of	ADP
ajst-15577	32	62	the	the	DET
ajst-15577	32	63	important	important	ADJ
ajst-15577	32	64	constraints	constraint	NOUN
ajst-15577	32	65	that	that	PRON
ajst-15577	32	66	lead	lead	VERB
ajst-15577	32	67	to	to	ADP
ajst-15577	32	68	the	the	DET
ajst-15577	32	69	difficulties	difficulty	NOUN
ajst-15577	32	70	of	of	ADP
ajst-15577	32	71	fault	fault	NOUN
ajst-15577	32	72	diagnosis	diagnosis	NOUN
ajst-15577	32	73	of	of	ADP
ajst-15577	32	74	industrial	industrial	ADJ
ajst-15577	32	75	circulating	circulate	VERB
ajst-15577	32	76	water	water	NOUN
ajst-15577	32	77	system	system	NOUN
ajst-15577	32	78	water	water	NOUN
ajst-15577	32	79	supply	supply	NOUN
ajst-15577	32	80	pumps	pump	NOUN
ajst-15577	32	81	.	.	PUNCT
ajst-15577	33	1	since	since	SCONJ
ajst-15577	33	2	deep	deep	ADJ
ajst-15577	33	3	learning	learning	NOUN
ajst-15577	33	4	-	-	PUNCT
ajst-15577	33	5	based	base	VERB
ajst-15577	33	6	fault	fault	NOUN
ajst-15577	33	7	diagnosis	diagnosis	NOUN
ajst-15577	33	8	methods	method	NOUN
ajst-15577	33	9	require	require	VERB
ajst-15577	33	10	a	a	DET
ajst-15577	33	11	large	large	ADJ
ajst-15577	33	12	amount	amount	NOUN
ajst-15577	33	13	of	of	ADP
ajst-15577	33	14	labeled	label	VERB
ajst-15577	33	15	sample	sample	NOUN
ajst-15577	33	16	data	datum	NOUN
ajst-15577	33	17	,	,	PUNCT
ajst-15577	33	18	it	it	PRON
ajst-15577	33	19	is	be	AUX
ajst-15577	33	20	difficult	difficult	ADJ
ajst-15577	33	21	to	to	PART
ajst-15577	33	22	achieve	achieve	VERB
ajst-15577	33	23	satisfactory	satisfactory	ADJ
ajst-15577	33	24	results	result	NOUN
ajst-15577	33	25	in	in	ADP
ajst-15577	33	26	fault	fault	NOUN
ajst-15577	33	27	identification	identification	NOUN
ajst-15577	33	28	of	of	ADP
ajst-15577	33	29	water	water	NOUN
ajst-15577	33	30	supply	supply	NOUN
ajst-15577	33	31	pumps	pump	NOUN
ajst-15577	33	32	based	base	VERB
ajst-15577	33	33	on	on	ADP
ajst-15577	33	34	such	such	ADJ
ajst-15577	33	35	methods	method	NOUN
ajst-15577	33	36	.	.	PUNCT
ajst-15577	34	1	while	while	SCONJ
ajst-15577	34	2	transfer	transfer	NOUN
ajst-15577	34	3	learning	learning	NOUN
ajst-15577	34	4	(	(	PUNCT
ajst-15577	34	5	tl	tl	PROPN
ajst-15577	34	6	)	)	PUNCT
ajst-15577	34	7	can	can	AUX
ajst-15577	34	8	better	well	ADV
ajst-15577	34	9	solve	solve	VERB
ajst-15577	34	10	the	the	DET
ajst-15577	34	11	problem	problem	NOUN
ajst-15577	34	12	of	of	ADP
ajst-15577	34	13	small	small	ADJ
ajst-15577	34	14	number	number	NOUN
ajst-15577	34	15	of	of	ADP
ajst-15577	34	16	samples	sample	NOUN
ajst-15577	34	17	,	,	PUNCT
ajst-15577	34	18	this	this	DET
ajst-15577	34	19	method	method	NOUN
ajst-15577	34	20	can	can	AUX
ajst-15577	34	21	migrate	migrate	VERB
ajst-15577	34	22	the	the	DET
ajst-15577	34	23	knowledge	knowledge	NOUN
ajst-15577	34	24	learned	learn	VERB
ajst-15577	34	25	in	in	ADP
ajst-15577	34	26	the	the	DET
ajst-15577	34	27	source	source	NOUN
ajst-15577	34	28	domain	domain	NOUN
ajst-15577	34	29	to	to	ADP
ajst-15577	34	30	the	the	DET
ajst-15577	34	31	task	task	NOUN
ajst-15577	34	32	in	in	ADP
ajst-15577	34	33	the	the	DET
ajst-15577	34	34	target	target	NOUN
ajst-15577	34	35	domain	domain	NOUN
ajst-15577	34	36	,	,	PUNCT
ajst-15577	34	37	save	save	VERB
ajst-15577	34	38	the	the	DET
ajst-15577	34	39	deep	deep	ADJ
ajst-15577	34	40	learning	learning	NOUN
ajst-15577	34	41	model	model	NOUN
ajst-15577	34	42	training	training	NOUN
ajst-15577	34	43	time	time	NOUN
ajst-15577	34	44	,	,	PUNCT
ajst-15577	34	45	and	and	CCONJ
ajst-15577	34	46	improve	improve	VERB
ajst-15577	34	47	the	the	DET
ajst-15577	34	48	accuracy	accuracy	NOUN
ajst-15577	34	49	of	of	ADP
ajst-15577	34	50	the	the	DET
ajst-15577	34	51	results	result	NOUN
ajst-15577	34	52	[	[	X
ajst-15577	34	53	9	9	NUM
ajst-15577	34	54	]	]	PUNCT
ajst-15577	34	55	.	.	PUNCT
ajst-15577	35	1	combining	combine	VERB
ajst-15577	35	2	migration	migration	NOUN
ajst-15577	35	3	learning	learning	NOUN
ajst-15577	35	4	with	with	ADP
ajst-15577	35	5	convolutional	convolutional	ADJ
ajst-15577	35	6	neural	neural	ADJ
ajst-15577	35	7	networks	network	NOUN
ajst-15577	35	8	can	can	AUX
ajst-15577	35	9	be	be	AUX
ajst-15577	35	10	used	use	VERB
ajst-15577	35	11	to	to	PART
ajst-15577	35	12	solve	solve	VERB
ajst-15577	35	13	the	the	DET
ajst-15577	35	14	problem	problem	NOUN
ajst-15577	35	15	of	of	ADP
ajst-15577	35	16	insufficient	insufficient	ADJ
ajst-15577	35	17	training	training	NOUN
ajst-15577	35	18	of	of	ADP
ajst-15577	35	19	deep	deep	ADJ
ajst-15577	35	20	networks	network	NOUN
ajst-15577	35	21	with	with	ADP
ajst-15577	35	22	small	small	ADJ
ajst-15577	35	23	sample	sample	NOUN
ajst-15577	35	24	data	datum	NOUN
ajst-15577	35	25	[	[	X
ajst-15577	35	26	10	10	NUM
ajst-15577	35	27	]	]	PUNCT
ajst-15577	35	28	.	.	PUNCT
ajst-15577	36	1	therefore	therefore	ADV
ajst-15577	36	2	,	,	PUNCT
ajst-15577	36	3	the	the	DET
ajst-15577	36	4	use	use	NOUN
ajst-15577	36	5	of	of	ADP
ajst-15577	36	6	migration	migration	NOUN
ajst-15577	36	7	learning	learning	NOUN
ajst-15577	36	8	and	and	CCONJ
ajst-15577	36	9	convolutional	convolutional	ADJ
ajst-15577	36	10	neural	neural	ADJ
ajst-15577	36	11	network	network	NOUN
ajst-15577	36	12	methods	method	NOUN
ajst-15577	36	13	for	for	ADP
ajst-15577	36	14	fault	fault	NOUN
ajst-15577	36	15	diagnosis	diagnosis	NOUN
ajst-15577	36	16	of	of	ADP
ajst-15577	36	17	rotating	rotate	VERB
ajst-15577	36	18	machinery	machinery	NOUN
ajst-15577	36	19	can	can	AUX
ajst-15577	36	20	not	not	PART
ajst-15577	36	21	only	only	ADV
ajst-15577	36	22	mine	mine	VERB
ajst-15577	36	23	the	the	DET
ajst-15577	36	24	feature	feature	NOUN
ajst-15577	36	25	information	information	NOUN
ajst-15577	36	26	in	in	ADP
ajst-15577	36	27	the	the	DET
ajst-15577	36	28	original	original	ADJ
ajst-15577	36	29	signal	signal	NOUN
ajst-15577	36	30	,	,	PUNCT
ajst-15577	36	31	but	but	CCONJ
ajst-15577	36	32	also	also	ADV
ajst-15577	36	33	improve	improve	VERB
ajst-15577	36	34	the	the	DET
ajst-15577	36	35	efficiency	efficiency	NOUN
ajst-15577	36	36	of	of	ADP
ajst-15577	36	37	fault	fault	NOUN
ajst-15577	36	38	diagnosis	diagnosis	NOUN
ajst-15577	36	39	.	.	PUNCT
ajst-15577	37	1	deep	deep	ADJ
ajst-15577	37	2	learning	learning	NOUN
ajst-15577	37	3	techniques	technique	NOUN
ajst-15577	37	4	have	have	AUX
ajst-15577	37	5	shown	show	VERB
ajst-15577	37	6	the	the	DET
ajst-15577	37	7	advantages	advantage	NOUN
ajst-15577	37	8	of	of	ADP
ajst-15577	37	9	strong	strong	ADJ
ajst-15577	37	10	generalization	generalization	NOUN
ajst-15577	37	11	ability	ability	NOUN
ajst-15577	37	12	and	and	CCONJ
ajst-15577	37	13	high	high	ADJ
ajst-15577	37	14	accuracy	accuracy	NOUN
ajst-15577	37	15	rate	rate	NOUN
ajst-15577	37	16	in	in	ADP
ajst-15577	37	17	soundbased	soundbase	VERB
ajst-15577	37	18	fault	fault	NOUN
ajst-15577	37	19	recognition	recognition	NOUN
ajst-15577	37	20	,	,	PUNCT
ajst-15577	37	21	while	while	SCONJ
ajst-15577	37	22	few	few	ADJ
ajst-15577	37	23	studies	study	NOUN
ajst-15577	37	24	have	have	AUX
ajst-15577	37	25	been	be	AUX
ajst-15577	37	26	carried	carry	VERB
ajst-15577	37	27	out	out	ADP
ajst-15577	37	28	in	in	ADP
ajst-15577	37	29	combination	combination	NOUN
ajst-15577	37	30	with	with	ADP
ajst-15577	37	31	deep	deep	ADJ
ajst-15577	37	32	learning	learning	NOUN
ajst-15577	37	33	techniques	technique	NOUN
ajst-15577	37	34	in	in	ADP
ajst-15577	37	35	water	water	NOUN
ajst-15577	37	36	pump	pump	NOUN
ajst-15577	37	37	fault	fault	NOUN
ajst-15577	37	38	sound	sound	NOUN
ajst-15577	37	39	recognition	recognition	NOUN
ajst-15577	37	40	.	.	PUNCT
ajst-15577	38	1	therefore	therefore	ADV
ajst-15577	38	2	,	,	PUNCT
ajst-15577	38	3	in	in	ADP
ajst-15577	38	4	this	this	DET
ajst-15577	38	5	paper	paper	NOUN
ajst-15577	38	6	,	,	PUNCT
ajst-15577	38	7	we	we	PRON
ajst-15577	38	8	will	will	AUX
ajst-15577	38	9	use	use	VERB
ajst-15577	38	10	the	the	DET
ajst-15577	38	11	method	method	NOUN
ajst-15577	38	12	of	of	ADP
ajst-15577	38	13	signal	signal	ADJ
ajst-15577	38	14	feature	feature	NOUN
ajst-15577	38	15	extraction	extraction	NOUN
ajst-15577	38	16	and	and	CCONJ
ajst-15577	38	17	combine	combine	VERB
ajst-15577	38	18	with	with	ADP
ajst-15577	38	19	deep	deep	ADJ
ajst-15577	38	20	learning	learning	NOUN
ajst-15577	38	21	technology	technology	NOUN
ajst-15577	38	22	to	to	PART
ajst-15577	38	23	realize	realize	VERB
ajst-15577	38	24	the	the	DET
ajst-15577	38	25	water	water	NOUN
ajst-15577	38	26	pump	pump	VERB
ajst-15577	38	27	fault	fault	NOUN
ajst-15577	38	28	recognition	recognition	NOUN
ajst-15577	38	29	based	base	VERB
ajst-15577	38	30	on	on	ADP
ajst-15577	38	31	sound	sound	ADJ
ajst-15577	38	32	signal	signal	NOUN
ajst-15577	38	33	.	.	PUNCT
ajst-15577	39	1	firstly	firstly	ADV
ajst-15577	39	2	,	,	PUNCT
ajst-15577	39	3	we	we	PRON
ajst-15577	39	4	extract	extract	VERB
ajst-15577	39	5	the	the	DET
ajst-15577	39	6	mfcc	mfcc	NOUN
ajst-15577	39	7	features	feature	NOUN
ajst-15577	39	8	of	of	ADP
ajst-15577	39	9	the	the	DET
ajst-15577	39	10	water	water	NOUN
ajst-15577	39	11	pump	pump	VERB
ajst-15577	39	12	sound	sound	NOUN
ajst-15577	39	13	signal	signal	NOUN
ajst-15577	39	14	and	and	CCONJ
ajst-15577	39	15	calculate	calculate	VERB
ajst-15577	39	16	its	its	PRON
ajst-15577	39	17	dynamic	dynamic	ADJ
ajst-15577	39	18	features	feature	NOUN
ajst-15577	39	19	,	,	PUNCT
ajst-15577	39	20	and	and	CCONJ
ajst-15577	39	21	then	then	ADV
ajst-15577	39	22	we	we	PRON
ajst-15577	39	23	use	use	VERB
ajst-15577	39	24	the	the	DET
ajst-15577	39	25	migration	migration	NOUN
ajst-15577	39	26	learning	learn	VERB
ajst-15577	39	27	convolutional	convolutional	ADJ
ajst-15577	39	28	neural	neural	ADJ
ajst-15577	39	29	network	network	NOUN
ajst-15577	39	30	model	model	NOUN
ajst-15577	39	31	(	(	PUNCT
ajst-15577	39	32	mlcnn	mlcnn	PROPN
ajst-15577	39	33	)	)	PUNCT
ajst-15577	39	34	as	as	ADP
ajst-15577	39	35	a	a	DET
ajst-15577	39	36	classifier	classifier	NOUN
ajst-15577	39	37	to	to	PART
ajst-15577	39	38	realize	realize	VERB
ajst-15577	39	39	the	the	DET
ajst-15577	39	40	sound	sound	NOUN
ajst-15577	39	41	-	-	PUNCT
ajst-15577	39	42	based	base	VERB
ajst-15577	39	43	water	water	NOUN
ajst-15577	39	44	pump	pump	VERB
ajst-15577	39	45	fault	fault	NOUN
ajst-15577	39	46	and	and	CCONJ
ajst-15577	39	47	abnormality	abnormality	NOUN
ajst-15577	39	48	detection	detection	NOUN
ajst-15577	39	49	.	.	PUNCT
ajst-15577	40	1	this	this	DET
ajst-15577	40	2	method	method	NOUN
ajst-15577	40	3	overcomes	overcome	VERB
ajst-15577	40	4	the	the	DET
ajst-15577	40	5	inconvenience	inconvenience	NOUN
ajst-15577	40	6	of	of	ADP
ajst-15577	40	7	constant	constant	ADJ
ajst-15577	40	8	optimization	optimization	NOUN
ajst-15577	40	9	and	and	CCONJ
ajst-15577	40	10	adjustment	adjustment	NOUN
ajst-15577	40	11	of	of	ADP
ajst-15577	40	12	classifiers	classifier	NOUN
ajst-15577	40	13	in	in	ADP
ajst-15577	40	14	previous	previous	ADJ
ajst-15577	40	15	methods	method	NOUN
ajst-15577	40	16	,	,	PUNCT
ajst-15577	40	17	and	and	CCONJ
ajst-15577	40	18	combines	combine	VERB
ajst-15577	40	19	the	the	DET
ajst-15577	40	20	advantages	advantage	NOUN
ajst-15577	40	21	of	of	ADP
ajst-15577	40	22	strong	strong	ADJ
ajst-15577	40	23	adaptivity	adaptivity	NOUN
ajst-15577	40	24	and	and	CCONJ
ajst-15577	40	25	high	high	ADJ
ajst-15577	40	26	accuracy	accuracy	NOUN
ajst-15577	40	27	of	of	ADP
ajst-15577	40	28	deep	deep	ADJ
ajst-15577	40	29	learning	learning	NOUN
ajst-15577	40	30	-	-	PUNCT
ajst-15577	40	31	based	base	VERB
ajst-15577	40	32	methods	method	NOUN
ajst-15577	40	33	.	.	PUNCT
ajst-15577	41	1	2	2	X
ajst-15577	41	2	.	.	X
ajst-15577	41	3	methods	method	NOUN
ajst-15577	41	4	the	the	DET
ajst-15577	41	5	flow	flow	NOUN
ajst-15577	41	6	of	of	ADP
ajst-15577	41	7	the	the	DET
ajst-15577	41	8	acoustic	acoustic	ADJ
ajst-15577	41	9	feature	feature	NOUN
ajst-15577	41	10	extraction	extraction	NOUN
ajst-15577	41	11	and	and	CCONJ
ajst-15577	41	12	detection	detection	NOUN
ajst-15577	41	13	method	method	NOUN
ajst-15577	41	14	for	for	ADP
ajst-15577	41	15	water	water	NOUN
ajst-15577	41	16	pump	pump	NOUN
ajst-15577	41	17	based	base	VERB
ajst-15577	41	18	on	on	ADP
ajst-15577	41	19	mfcc	mfcc	NOUN
ajst-15577	41	20	and	and	CCONJ
ajst-15577	41	21	mlcnn	mlcnn	PROPN
ajst-15577	41	22	is	be	AUX
ajst-15577	41	23	shown	show	VERB
ajst-15577	41	24	in	in	ADP
ajst-15577	41	25	fig	fig	NOUN
ajst-15577	41	26	.	.	PUNCT
ajst-15577	42	1	1	1	X
ajst-15577	42	2	.	.	PUNCT
ajst-15577	42	3	firstly	firstly	ADV
ajst-15577	42	4	,	,	PUNCT
ajst-15577	42	5	the	the	DET
ajst-15577	42	6	original	original	ADJ
ajst-15577	42	7	sound	sound	NOUN
ajst-15577	42	8	signal	signal	NOUN
ajst-15577	42	9	of	of	ADP
ajst-15577	42	10	the	the	DET
ajst-15577	42	11	pump	pump	NOUN
ajst-15577	42	12	is	be	AUX
ajst-15577	42	13	preprocessed	preprocesse	VERB
ajst-15577	42	14	,	,	PUNCT
ajst-15577	42	15	and	and	CCONJ
ajst-15577	42	16	then	then	ADV
ajst-15577	42	17	feature	feature	NOUN
ajst-15577	42	18	extraction	extraction	NOUN
ajst-15577	42	19	is	be	AUX
ajst-15577	42	20	performed	perform	VERB
ajst-15577	42	21	to	to	PART
ajst-15577	42	22	obtain	obtain	VERB
ajst-15577	42	23	its	its	PRON
ajst-15577	42	24	mfcc	mfcc	NOUN
ajst-15577	42	25	features	feature	NOUN
ajst-15577	42	26	,	,	PUNCT
ajst-15577	42	27	and	and	CCONJ
ajst-15577	42	28	then	then	ADV
ajst-15577	42	29	the	the	DET
ajst-15577	42	30	first	first	ADJ
ajst-15577	42	31	-	-	PUNCT
ajst-15577	42	32	order	order	NOUN
ajst-15577	42	33	and	and	CCONJ
ajst-15577	42	34	secondorder	secondorder	ADJ
ajst-15577	42	35	differences	difference	NOUN
ajst-15577	42	36	of	of	ADP
ajst-15577	42	37	mfcc	mfcc	NOUN
ajst-15577	42	38	are	be	AUX
ajst-15577	42	39	calculated	calculate	VERB
ajst-15577	42	40	as	as	ADP
ajst-15577	42	41	dynamic	dynamic	ADJ
ajst-15577	42	42	features	feature	NOUN
ajst-15577	42	43	.	.	PUNCT
ajst-15577	43	1	the	the	DET
ajst-15577	43	2	combined	combine	VERB
ajst-15577	43	3	feature	feature	NOUN
ajst-15577	43	4	data	datum	NOUN
ajst-15577	43	5	is	be	AUX
ajst-15577	43	6	input	input	VERB
ajst-15577	43	7	into	into	ADP
ajst-15577	43	8	the	the	DET
ajst-15577	43	9	pre	pre	ADJ
ajst-15577	43	10	-	-	ADJ
ajst-15577	43	11	trained	train	VERB
ajst-15577	43	12	mlcnn	mlcnn	PROPN
ajst-15577	43	13	model	model	NOUN
ajst-15577	43	14	for	for	ADP
ajst-15577	43	15	classification	classification	NOUN
ajst-15577	43	16	and	and	CCONJ
ajst-15577	43	17	recognition	recognition	NOUN
ajst-15577	43	18	,	,	PUNCT
ajst-15577	43	19	and	and	CCONJ
ajst-15577	43	20	the	the	DET
ajst-15577	43	21	mlcnn	mlcnn	PROPN
ajst-15577	43	22	model	model	NOUN
ajst-15577	43	23	can	can	AUX
ajst-15577	43	24	judge	judge	VERB
ajst-15577	43	25	the	the	DET
ajst-15577	43	26	working	work	VERB
ajst-15577	43	27	state	state	NOUN
ajst-15577	43	28	of	of	ADP
ajst-15577	43	29	the	the	DET
ajst-15577	43	30	pump	pump	NOUN
ajst-15577	43	31	according	accord	VERB
ajst-15577	43	32	to	to	ADP
ajst-15577	43	33	the	the	DET
ajst-15577	43	34	input	input	NOUN
ajst-15577	43	35	feature	feature	NOUN
ajst-15577	43	36	information	information	NOUN
ajst-15577	43	37	,	,	PUNCT
ajst-15577	43	38	and	and	CCONJ
ajst-15577	43	39	finally	finally	ADV
ajst-15577	43	40	output	output	VERB
ajst-15577	43	41	the	the	DET
ajst-15577	43	42	results	result	NOUN
ajst-15577	43	43	.	.	PUNCT
ajst-15577	44	1	water	water	NOUN
ajst-15577	44	2	 	 	SPACE
ajst-15577	44	3	pump	pump	NOUN
ajst-15577	44	4	 	 	SPACE
ajst-15577	44	5	sound	sound	ADJ
ajst-15577	44	6	 	 	SPACE
ajst-15577	44	7	signal	signal	NOUN
ajst-15577	44	8	preprocessing	preprocessing	NOUN
ajst-15577	44	9	extraction	extraction	NOUN
ajst-15577	44	10	 	 	SPACE
ajst-15577	44	11	of	of	ADP
ajst-15577	44	12	 	 	SPACE
ajst-15577	44	13	mfcc	mfcc	NOUN
ajst-15577	44	14	 	 	SPACE
ajst-15577	44	15	features	feature	VERB
ajst-15577	44	16	mlcnn	mlcnn	PROPN
ajst-15577	44	17	  	  	SPACE
ajst-15577	44	18	classifier	classifier	PROPN
ajst-15577	44	19	output	output	NOUN
ajst-15577	44	20	  	  	SPACE
ajst-15577	44	21	result	result	VERB
ajst-15577	44	22	normal	normal	ADJ
ajst-15577	44	23	abnormal	abnormal	ADJ
ajst-15577	44	24	status	status	NOUN
ajst-15577	44	25	 	 	SPACE
ajst-15577	44	26	classification	classification	NOUN
ajst-15577	44	27	feature	feature	NOUN
ajst-15577	44	28	 	 	SPACE
ajst-15577	44	29	extraction	extraction	NOUN
ajst-15577	44	30	figure	figure	NOUN
ajst-15577	44	31	1	1	NUM
ajst-15577	44	32	.	.	PUNCT
ajst-15577	45	1	flow	flow	VERB
ajst-15577	45	2	chart	chart	NOUN
ajst-15577	45	3	of	of	ADP
ajst-15577	45	4	water	water	NOUN
ajst-15577	45	5	pump	pump	VERB
ajst-15577	45	6	acoustic	acoustic	ADJ
ajst-15577	45	7	feature	feature	NOUN
ajst-15577	45	8	extraction	extraction	NOUN
ajst-15577	45	9	and	and	CCONJ
ajst-15577	45	10	detection	detection	NOUN
ajst-15577	45	11	method	method	NOUN
ajst-15577	45	12	2.1	2.1	NUM
ajst-15577	45	13	.	.	PUNCT
ajst-15577	46	1	data	datum	NOUN
ajst-15577	46	2	set	set	VERB
ajst-15577	46	3	to	to	PART
ajst-15577	46	4	design	design	VERB
ajst-15577	46	5	a	a	DET
ajst-15577	46	6	classifier	classifier	NOUN
ajst-15577	46	7	for	for	ADP
ajst-15577	46	8	the	the	DET
ajst-15577	46	9	model	model	NOUN
ajst-15577	46	10	,	,	PUNCT
ajst-15577	46	11	it	it	PRON
ajst-15577	46	12	is	be	AUX
ajst-15577	46	13	first	first	ADV
ajst-15577	46	14	necessary	necessary	ADJ
ajst-15577	46	15	to	to	PART
ajst-15577	46	16	pay	pay	VERB
ajst-15577	46	17	attention	attention	NOUN
ajst-15577	46	18	to	to	ADP
ajst-15577	46	19	the	the	DET
ajst-15577	46	20	available	available	ADJ
ajst-15577	46	21	data	datum	NOUN
ajst-15577	46	22	.	.	PUNCT
ajst-15577	47	1	one	one	NUM
ajst-15577	47	2	of	of	ADP
ajst-15577	47	3	the	the	DET
ajst-15577	47	4	best	good	ADJ
ajst-15577	47	5	datasets	dataset	NOUN
ajst-15577	47	6	that	that	PRON
ajst-15577	47	7	can	can	AUX
ajst-15577	47	8	be	be	AUX
ajst-15577	47	9	used	use	VERB
ajst-15577	47	10	for	for	ADP
ajst-15577	47	11	pump	pump	NOUN
ajst-15577	47	12	audio	audio	ADJ
ajst-15577	47	13	fault	fault	NOUN
ajst-15577	47	14	detection	detection	NOUN
ajst-15577	47	15	is	be	AUX
ajst-15577	47	16	the	the	DET
ajst-15577	47	17	mimii	mimii	NOUN
ajst-15577	47	18	dataset.purohit	dataset.purohit	X
ajst-15577	47	19	et	et	NOUN
ajst-15577	47	20	al	al	PROPN
ajst-15577	48	1	[	[	X
ajst-15577	48	2	11	11	NUM
ajst-15577	48	3	]	]	PUNCT
ajst-15577	48	4	developed	develop	VERB
ajst-15577	48	5	this	this	DET
ajst-15577	48	6	dataset	dataset	NOUN
ajst-15577	48	7	in	in	ADP
ajst-15577	48	8	2019	2019	NUM
ajst-15577	48	9	.	.	PUNCT
ajst-15577	49	1	this	this	DET
ajst-15577	49	2	dataset	dataset	NOUN
ajst-15577	49	3	records	record	VERB
ajst-15577	49	4	the	the	DET
ajst-15577	49	5	healthy	healthy	ADJ
ajst-15577	49	6	state	state	NOUN
ajst-15577	49	7	audio	audio	NOUN
ajst-15577	49	8	of	of	ADP
ajst-15577	49	9	pumps	pump	NOUN
ajst-15577	49	10	,	,	PUNCT
ajst-15577	49	11	fans	fan	NOUN
ajst-15577	49	12	,	,	PUNCT
ajst-15577	49	13	valves	valve	NOUN
ajst-15577	49	14	and	and	CCONJ
ajst-15577	49	15	slides	slide	NOUN
ajst-15577	49	16	and	and	CCONJ
ajst-15577	49	17	their	their	PRON
ajst-15577	49	18	fault	fault	NOUN
ajst-15577	49	19	states	state	NOUN
ajst-15577	49	20	under	under	ADP
ajst-15577	49	21	various	various	ADJ
ajst-15577	49	22	abnormal	abnormal	ADJ
ajst-15577	49	23	conditions	condition	NOUN
ajst-15577	49	24	such	such	ADJ
ajst-15577	49	25	as	as	ADP
ajst-15577	49	26	rotational	rotational	ADJ
ajst-15577	49	27	imbalance	imbalance	NOUN
ajst-15577	49	28	,	,	PUNCT
ajst-15577	49	29	leakage	leakage	NOUN
ajst-15577	49	30	,	,	PUNCT
ajst-15577	49	31	contamination	contamination	NOUN
ajst-15577	49	32	,	,	PUNCT
ajst-15577	49	33	etc	etc	X
ajst-15577	49	34	.	.	X
ajst-15577	50	1	these	these	DET
ajst-15577	50	2	data	datum	NOUN
ajst-15577	50	3	are	be	AUX
ajst-15577	50	4	categorized	categorize	VERB
ajst-15577	50	5	into	into	ADP
ajst-15577	50	6	healthy	healthy	ADJ
ajst-15577	50	7	and	and	CCONJ
ajst-15577	50	8	unhealthy	unhealthy	ADJ
ajst-15577	50	9	.	.	PUNCT
ajst-15577	51	1	a	a	DET
ajst-15577	51	2	circular	circular	ADJ
ajst-15577	51	3	microphone	microphone	NOUN
ajst-15577	51	4	array	array	NOUN
ajst-15577	51	5	with	with	ADP
ajst-15577	51	6	eight	eight	NUM
ajst-15577	51	7	independent	independent	ADJ
ajst-15577	51	8	microphones	microphone	NOUN
ajst-15577	51	9	was	be	AUX
ajst-15577	51	10	placed	place	VERB
ajst-15577	51	11	at	at	ADP
ajst-15577	51	12	a	a	DET
ajst-15577	51	13	distance	distance	NOUN
ajst-15577	51	14	of	of	ADP
ajst-15577	51	15	500	500	NUM
ajst-15577	51	16	mm	mm	NOUN
ajst-15577	51	17	from	from	ADP
ajst-15577	51	18	the	the	DET
ajst-15577	51	19	pump	pump	NOUN
ajst-15577	51	20	.	.	PUNCT
ajst-15577	52	1	the	the	DET
ajst-15577	52	2	data	datum	NOUN
ajst-15577	52	3	was	be	AUX
ajst-15577	52	4	recorded	record	VERB
ajst-15577	52	5	in	in	ADP
ajst-15577	52	6	10	10	NUM
ajst-15577	52	7	-	-	PUNCT
ajst-15577	52	8	second	second	ADJ
ajst-15577	52	9	files	file	NOUN
ajst-15577	52	10	as	as	ADP
ajst-15577	52	11	16	16	NUM
ajst-15577	52	12	-	-	PUNCT
ajst-15577	52	13	bit	bit	NOUN
ajst-15577	52	14	audio	audio	ADJ
ajst-15577	52	15	signals	signal	NOUN
ajst-15577	52	16	with	with	ADP
ajst-15577	52	17	a	a	DET
ajst-15577	52	18	sampling	sample	VERB
ajst-15577	52	19	frequency	frequency	NOUN
ajst-15577	52	20	of	of	ADP
ajst-15577	52	21	16	16	NUM
ajst-15577	52	22	khz	khz	NOUN
ajst-15577	52	23	.	.	PUNCT
ajst-15577	53	1	in	in	ADP
ajst-15577	53	2	addition	addition	NOUN
ajst-15577	53	3	to	to	ADP
ajst-15577	53	4	the	the	DET
ajst-15577	53	5	sound	sound	NOUN
ajst-15577	53	6	of	of	ADP
ajst-15577	53	7	the	the	DET
ajst-15577	53	8	target	target	NOUN
ajst-15577	53	9	machine	machine	NOUN
ajst-15577	53	10	,	,	PUNCT
ajst-15577	53	11	background	background	NOUN
ajst-15577	53	12	noise	noise	NOUN
ajst-15577	53	13	was	be	AUX
ajst-15577	53	14	continuously	continuously	ADV
ajst-15577	53	15	captured	capture	VERB
ajst-15577	53	16	in	in	ADP
ajst-15577	53	17	several	several	ADJ
ajst-15577	53	18	real	real	ADJ
ajst-15577	53	19	factories	factory	NOUN
ajst-15577	53	20	and	and	CCONJ
ajst-15577	53	21	eventually	eventually	ADV
ajst-15577	53	22	combined	combine	VERB
ajst-15577	53	23	with	with	ADP
ajst-15577	53	24	the	the	DET
ajst-15577	53	25	audio	audio	NOUN
ajst-15577	53	26	of	of	ADP
ajst-15577	53	27	the	the	DET
ajst-15577	53	28	target	target	NOUN
ajst-15577	53	29	machine	machine	NOUN
ajst-15577	53	30	as	as	ADP
ajst-15577	53	31	a	a	DET
ajst-15577	53	32	way	way	NOUN
ajst-15577	53	33	to	to	PART
ajst-15577	53	34	simulate	simulate	VERB
ajst-15577	53	35	the	the	DET
ajst-15577	53	36	natural	natural	ADJ
ajst-15577	53	37	environment	environment	NOUN
ajst-15577	53	38	.	.	PUNCT
ajst-15577	54	1	the	the	DET
ajst-15577	54	2	background	background	NOUN
ajst-15577	54	3	noise	noise	NOUN
ajst-15577	54	4	was	be	AUX
ajst-15577	54	5	added	add	VERB
ajst-15577	54	6	to	to	ADP
ajst-15577	54	7	the	the	DET
ajst-15577	54	8	audio	audio	NOUN
ajst-15577	54	9	at	at	ADP
ajst-15577	54	10	three	three	NUM
ajst-15577	54	11	different	different	ADJ
ajst-15577	54	12	signal	signal	NOUN
ajst-15577	54	13	-	-	PUNCT
ajst-15577	54	14	to	to	ADP
ajst-15577	54	15	-	-	PUNCT
ajst-15577	54	16	noise	noise	NOUN
ajst-15577	54	17	ratio	ratio	NOUN
ajst-15577	54	18	(	(	PUNCT
ajst-15577	54	19	snr	snr	NOUN
ajst-15577	54	20	)	)	PUNCT
ajst-15577	54	21	levels	level	NOUN
ajst-15577	54	22	:	:	PUNCT
ajst-15577	54	23	-6	-6	PROPN
ajst-15577	54	24	db	db	INTJ
ajst-15577	54	25	,	,	PUNCT
ajst-15577	54	26	0	0	NUM
ajst-15577	54	27	db	db	PROPN
ajst-15577	54	28	,	,	PUNCT
ajst-15577	54	29	and	and	CCONJ
ajst-15577	54	30	+6	+6	PROPN
ajst-15577	54	31	db	db	PROPN
ajst-15577	54	32	.	.	PROPN
ajst-15577	54	33	due	due	ADP
ajst-15577	54	34	to	to	ADP
ajst-15577	54	35	the	the	DET
ajst-15577	54	36	summary	summary	NOUN
ajst-15577	54	37	presented	present	VERB
ajst-15577	54	38	by	by	ADP
ajst-15577	54	39	purohit	purohit	PROPN
ajst-15577	54	40	et	et	PROPN
ajst-15577	54	41	al	al	PROPN
ajst-15577	54	42	.	.	PROPN
ajst-15577	54	43	in	in	ADP
ajst-15577	54	44	the	the	DET
ajst-15577	54	45	literature	literature	NOUN
ajst-15577	54	46	[	[	X
ajst-15577	54	47	11	11	NUM
ajst-15577	54	48	]	]	PUNCT
ajst-15577	54	49	on	on	ADP
ajst-15577	54	50	the	the	DET
ajst-15577	54	51	difficulty	difficulty	NOUN
ajst-15577	54	52	of	of	ADP
ajst-15577	54	53	detecting	detect	VERB
ajst-15577	54	54	valve	valve	NOUN
ajst-15577	54	55	anomalies	anomaly	NOUN
ajst-15577	54	56	due	due	ADP
ajst-15577	54	57	to	to	ADP
ajst-15577	54	58	the	the	DET
ajst-15577	54	59	nonsmooth	nonsmooth	ADJ
ajst-15577	54	60	nature	nature	NOUN
ajst-15577	54	61	of	of	ADP
ajst-15577	54	62	the	the	DET
ajst-15577	54	63	sound	sound	NOUN
ajst-15577	54	64	signal	signal	NOUN
ajst-15577	54	65	,	,	PUNCT
ajst-15577	54	66	the	the	DET
ajst-15577	54	67	data	datum	NOUN
ajst-15577	54	68	used	use	VERB
ajst-15577	54	69	was	be	AUX
ajst-15577	54	70	the	the	DET
ajst-15577	54	71	data	datum	NOUN
ajst-15577	54	72	set	set	VERB
ajst-15577	54	73	mimii	mimii	NOUN
ajst-15577	54	74	in	in	ADP
ajst-15577	54	75	the	the	DET
ajst-15577	54	76	"	"	PUNCT
ajst-15577	54	77	valve	valve	NOUN
ajst-15577	54	78	"	"	PUNCT
ajst-15577	54	79	part	part	NOUN
ajst-15577	54	80	of	of	ADP
ajst-15577	54	81	the	the	DET
ajst-15577	54	82	data	datum	NOUN
ajst-15577	54	83	set	set	VERB
ajst-15577	54	84	mimii	mimii	NOUN
ajst-15577	54	85	,	,	PUNCT
ajst-15577	54	86	where	where	SCONJ
ajst-15577	54	87	the	the	DET
ajst-15577	54	88	valve	valve	NOUN
ajst-15577	54	89	is	be	AUX
ajst-15577	54	90	a	a	DET
ajst-15577	54	91	solenoid	solenoid	ADJ
ajst-15577	54	92	valve	valve	NOUN
ajst-15577	54	93	that	that	PRON
ajst-15577	54	94	repeatedly	repeatedly	ADV
ajst-15577	54	95	opens	open	VERB
ajst-15577	54	96	and	and	CCONJ
ajst-15577	54	97	closes	close	VERB
ajst-15577	54	98	.	.	PUNCT
ajst-15577	55	1	the	the	DET
ajst-15577	55	2	details	detail	NOUN
ajst-15577	55	3	of	of	ADP
ajst-15577	55	4	the	the	DET
ajst-15577	55	5	dataset	dataset	NOUN
ajst-15577	55	6	are	be	AUX
ajst-15577	55	7	shown	show	VERB
ajst-15577	55	8	by	by	ADP
ajst-15577	55	9	table	table	NOUN
ajst-15577	55	10	1	1	NUM
ajst-15577	55	11	.	.	PUNCT
ajst-15577	55	12	table	table	NOUN
ajst-15577	55	13	1	1	NUM
ajst-15577	55	14	.	.	PUNCT
ajst-15577	55	15	data	datum	NOUN
ajst-15577	55	16	set	set	VERB
ajst-15577	55	17	information	information	NOUN
ajst-15577	55	18	sheet	sheet	NOUN
ajst-15577	55	19	signal	signal	NOUN
ajst-15577	55	20	-	-	PUNCT
ajst-15577	55	21	tonoise	tonoise	NOUN
ajst-15577	55	22	ratio	ratio	NOUN
ajst-15577	55	23	(	(	PUNCT
ajst-15577	55	24	snr)/db	snr)/db	PROPN
ajst-15577	55	25	pump	pump	NOUN
ajst-15577	55	26	valve	valve	NOUN
ajst-15577	55	27	number	number	NOUN
ajst-15577	55	28	number	number	NOUN
ajst-15577	55	29	of	of	ADP
ajst-15577	55	30	normal	normal	ADJ
ajst-15577	55	31	sounds	sound	NOUN
ajst-15577	55	32	number	number	NOUN
ajst-15577	55	33	of	of	ADP
ajst-15577	55	34	abnormal	abnormal	ADJ
ajst-15577	55	35	sounds	sound	NOUN
ajst-15577	55	36	0	0	NUM
ajst-15577	55	37	00	00	NUM
ajst-15577	55	38	991	991	NUM
ajst-15577	55	39	119	119	NUM
ajst-15577	55	40	02	02	NUM
ajst-15577	55	41	708	708	NUM
ajst-15577	55	42	120	120	NUM
ajst-15577	55	43	04	04	NUM
ajst-15577	55	44	1000	1000	NUM
ajst-15577	55	45	120	120	NUM
ajst-15577	55	46	06	06	NUM
ajst-15577	55	47	992	992	NUM
ajst-15577	55	48	120	120	NUM
ajst-15577	56	1	+6	+6	PROPN
ajst-15577	56	2	00	00	NUM
ajst-15577	56	3	991	991	NUM
ajst-15577	56	4	119	119	NUM
ajst-15577	56	5	02	02	NUM
ajst-15577	56	6	708	708	NUM
ajst-15577	56	7	120	120	NUM
ajst-15577	56	8	04	04	NUM
ajst-15577	56	9	1000	1000	NUM
ajst-15577	56	10	120	120	NUM
ajst-15577	56	11	06	06	NUM
ajst-15577	56	12	992	992	NUM
ajst-15577	56	13	120	120	NUM
ajst-15577	56	14	-6	-6	NOUN
ajst-15577	56	15	00	00	NUM
ajst-15577	57	1	991	991	NUM
ajst-15577	57	2	119	119	NUM
ajst-15577	57	3	02	02	NUM
ajst-15577	57	4	708	708	NUM
ajst-15577	57	5	120	120	NUM
ajst-15577	57	6	04	04	NUM
ajst-15577	57	7	1000	1000	NUM
ajst-15577	57	8	120	120	NUM
ajst-15577	57	9	06	06	NUM
ajst-15577	57	10	992	992	NUM
ajst-15577	57	11	120	120	NUM
ajst-15577	57	12	total	total	ADJ
ajst-15577	57	13	number	number	NOUN
ajst-15577	57	14	—	—	PUNCT
ajst-15577	57	15	11073	11073	NUM
ajst-15577	57	16	1437	1437	NUM
ajst-15577	57	17	2.2	2.2	NUM
ajst-15577	57	18	.	.	PUNCT
ajst-15577	58	1	mfcc	mfcc	NOUN
ajst-15577	58	2	feature	feature	NOUN
ajst-15577	58	3	extraction	extraction	NOUN
ajst-15577	58	4	the	the	DET
ajst-15577	58	5	sound	sound	ADJ
ajst-15577	58	6	signal	signal	NOUN
ajst-15577	58	7	of	of	ADP
ajst-15577	58	8	water	water	NOUN
ajst-15577	58	9	pump	pump	NOUN
ajst-15577	58	10	working	work	VERB
ajst-15577	58	11	is	be	AUX
ajst-15577	58	12	usually	usually	ADV
ajst-15577	58	13	a	a	DET
ajst-15577	58	14	continuous	continuous	ADJ
ajst-15577	58	15	waveform	waveform	NOUN
ajst-15577	58	16	signal	signal	NOUN
ajst-15577	58	17	,	,	PUNCT
ajst-15577	58	18	and	and	CCONJ
ajst-15577	58	19	this	this	DET
ajst-15577	58	20	continuous	continuous	ADJ
ajst-15577	58	21	signal	signal	NOUN
ajst-15577	58	22	needs	need	VERB
ajst-15577	58	23	92	92	NUM
ajst-15577	58	24	to	to	PART
ajst-15577	58	25	be	be	AUX
ajst-15577	58	26	converted	convert	VERB
ajst-15577	58	27	into	into	ADP
ajst-15577	58	28	numerical	numerical	ADJ
ajst-15577	58	29	features	feature	NOUN
ajst-15577	58	30	firstly	firstly	ADV
ajst-15577	58	31	for	for	ADP
ajst-15577	58	32	the	the	DET
ajst-15577	58	33	subsequent	subsequent	ADJ
ajst-15577	58	34	tasks	task	NOUN
ajst-15577	58	35	.	.	PUNCT
ajst-15577	59	1	in	in	ADP
ajst-15577	59	2	this	this	DET
ajst-15577	59	3	paper	paper	NOUN
ajst-15577	59	4	,	,	PUNCT
ajst-15577	59	5	we	we	PRON
ajst-15577	59	6	will	will	AUX
ajst-15577	59	7	extract	extract	VERB
ajst-15577	59	8	the	the	DET
ajst-15577	59	9	mfcc	mfcc	NOUN
ajst-15577	59	10	features	feature	NOUN
ajst-15577	59	11	of	of	ADP
ajst-15577	59	12	the	the	DET
ajst-15577	59	13	water	water	NOUN
ajst-15577	59	14	pump	pump	VERB
ajst-15577	59	15	working	work	VERB
ajst-15577	59	16	sound	sound	NOUN
ajst-15577	59	17	and	and	CCONJ
ajst-15577	59	18	compute	compute	VERB
ajst-15577	59	19	its	its	PRON
ajst-15577	59	20	dynamic	dynamic	ADJ
ajst-15577	59	21	features.mfcc	features.mfcc	PROPN
ajst-15577	59	22	is	be	AUX
ajst-15577	59	23	a	a	DET
ajst-15577	59	24	kind	kind	NOUN
ajst-15577	59	25	of	of	ADP
ajst-15577	59	26	feature	feature	NOUN
ajst-15577	59	27	parameter	parameter	NOUN
ajst-15577	59	28	which	which	PRON
ajst-15577	59	29	is	be	AUX
ajst-15577	59	30	widely	widely	ADV
ajst-15577	59	31	used	use	VERB
ajst-15577	59	32	in	in	ADP
ajst-15577	59	33	the	the	DET
ajst-15577	59	34	fields	field	NOUN
ajst-15577	59	35	of	of	ADP
ajst-15577	59	36	signal	signal	NOUN
ajst-15577	59	37	processing	processing	NOUN
ajst-15577	59	38	,	,	PUNCT
ajst-15577	59	39	audio	audio	NOUN
ajst-15577	59	40	processing	processing	NOUN
ajst-15577	59	41	,	,	PUNCT
ajst-15577	59	42	speech	speech	NOUN
ajst-15577	59	43	recognition	recognition	NOUN
ajst-15577	59	44	,	,	PUNCT
ajst-15577	59	45	etc	etc	X
ajst-15577	59	46	.	.	X
ajst-15577	59	47	through	through	ADP
ajst-15577	59	48	the	the	DET
ajst-15577	59	49	steps	step	NOUN
ajst-15577	59	50	of	of	ADP
ajst-15577	59	51	framing	frame	VERB
ajst-15577	59	52	,	,	PUNCT
ajst-15577	59	53	windowing	windowing	NOUN
ajst-15577	59	54	,	,	PUNCT
ajst-15577	59	55	fourier	fourier	NOUN
ajst-15577	59	56	transform	transform	NOUN
ajst-15577	59	57	,	,	PUNCT
ajst-15577	59	58	mel	mel	PROPN
ajst-15577	59	59	filter	filter	PROPN
ajst-15577	59	60	bank	bank	PROPN
ajst-15577	59	61	processing	processing	NOUN
ajst-15577	59	62	and	and	CCONJ
ajst-15577	59	63	cepstrum	cepstrum	NOUN
ajst-15577	59	64	analysis	analysis	NOUN
ajst-15577	59	65	of	of	ADP
ajst-15577	59	66	the	the	DET
ajst-15577	59	67	signals	signal	NOUN
ajst-15577	59	68	,	,	PUNCT
ajst-15577	59	69	the	the	DET
ajst-15577	59	70	feature	feature	NOUN
ajst-15577	59	71	vectors	vector	NOUN
ajst-15577	59	72	of	of	ADP
ajst-15577	59	73	the	the	DET
ajst-15577	59	74	signal	signal	NOUN
ajst-15577	59	75	with	with	ADP
ajst-15577	59	76	mel	mel	PROPN
ajst-15577	59	77	frequency	frequency	PROPN
ajst-15577	59	78	cepstrum	cepstrum	PROPN
ajst-15577	59	79	coefficients	coefficient	NOUN
ajst-15577	59	80	are	be	AUX
ajst-15577	59	81	extracted	extract	VERB
ajst-15577	59	82	,	,	PUNCT
ajst-15577	59	83	which	which	PRON
ajst-15577	59	84	are	be	AUX
ajst-15577	59	85	then	then	ADV
ajst-15577	59	86	used	use	VERB
ajst-15577	59	87	in	in	ADP
ajst-15577	59	88	the	the	DET
ajst-15577	59	89	subsequent	subsequent	ADJ
ajst-15577	59	90	classification	classification	NOUN
ajst-15577	59	91	and	and	CCONJ
ajst-15577	59	92	recognition	recognition	NOUN
ajst-15577	59	93	tasks	task	NOUN
ajst-15577	59	94	.	.	PUNCT
ajst-15577	60	1	the	the	DET
ajst-15577	60	2	feature	feature	NOUN
ajst-15577	60	3	extraction	extraction	NOUN
ajst-15577	60	4	process	process	NOUN
ajst-15577	60	5	is	be	AUX
ajst-15577	60	6	shown	show	VERB
ajst-15577	60	7	in	in	ADP
ajst-15577	60	8	figure	figure	NOUN
ajst-15577	60	9	2	2	NUM
ajst-15577	60	10	.	.	PUNCT
ajst-15577	60	11	water	water	NOUN
ajst-15577	60	12	 	 	SPACE
ajst-15577	60	13	pump	pump	NOUN
ajst-15577	60	14	  	  	SPACE
ajst-15577	60	15	sound	sound	ADJ
ajst-15577	60	16	 	 	SPACE
ajst-15577	60	17	signal	signal	NOUN
ajst-15577	60	18	p	p	X
ajst-15577	60	19	re	re	ADP
ajst-15577	60	20	p	p	PROPN
ajst-15577	60	21	ro	ro	PROPN
ajst-15577	60	22	ce	ce	PROPN
ajst-15577	60	23	ssin	ssin	PROPN
ajst-15577	60	24	g	g	PROPN
ajst-15577	60	25	downsampling	downsample	VERB
ajst-15577	60	26	pre‐emphasis	pre‐emphasis	PRON
ajst-15577	60	27	split‐frame	split‐frame	ADV
ajst-15577	60	28	take	take	VERB
ajst-15577	60	29	 	 	SPACE
ajst-15577	60	30	a	a	DET
ajst-15577	60	31	 	 	SPACE
ajst-15577	60	32	fourier	fourier	NOUN
ajst-15577	60	33	 	 	SPACE
ajst-15577	60	34	transform	transform	VERB
ajst-15577	60	35	discrete	discrete	ADJ
ajst-15577	60	36	 	 	SPACE
ajst-15577	60	37	cosine	cosine	NOUN
ajst-15577	60	38	 	 	SPACE
ajst-15577	60	39	transform	transform	NOUN
ajst-15577	60	40	  	  	SPACE
ajst-15577	60	41	(	(	PUNCT
ajst-15577	60	42	math	math	NOUN
ajst-15577	60	43	.	.	PUNCT
ajst-15577	60	44	)	)	PUNCT
ajst-15577	61	1	conversion	conversion	NOUN
ajst-15577	61	2	 	 	SPACE
ajst-15577	61	3	to	to	ADP
ajst-15577	61	4	 	 	SPACE
ajst-15577	61	5	mel	mel	PROPN
ajst-15577	61	6	 	 	SPACE
ajst-15577	61	7	frequency	frequency	NOUN
ajst-15577	61	8	  	  	SPACE
ajst-15577	61	9	power	power	NOUN
ajst-15577	61	10	 	 	SPACE
ajst-15577	61	11	spectral	spectral	ADJ
ajst-15577	61	12	 	 	SPACE
ajst-15577	61	13	density	density	NOUN
ajst-15577	61	14	calculate	calculate	NOUN
ajst-15577	61	15	 	 	SPACE
ajst-15577	61	16	power	power	NOUN
ajst-15577	61	17	 	 	SPACE
ajst-15577	61	18	spectral	spectral	ADJ
ajst-15577	61	19	  	  	SPACE
ajst-15577	61	20	density	density	NOUN
ajst-15577	61	21	plus	plus	CCONJ
ajst-15577	61	22	 	 	SPACE
ajst-15577	61	23	window	window	NOUN
ajst-15577	61	24	 	 	SPACE
ajst-15577	61	25	(	(	PUNCT
ajst-15577	61	26	hamming	hamming	NOUN
ajst-15577	61	27	  	  	SPACE
ajst-15577	61	28	window	window	NOUN
ajst-15577	61	29	)	)	PUNCT
ajst-15577	61	30	mfcc	mfcc	NOUN
ajst-15577	61	31	 	 	SPACE
ajst-15577	61	32	(	(	PUNCT
ajst-15577	61	33	static	static	ADJ
ajst-15577	61	34	  	  	SPACE
ajst-15577	61	35	characterization	characterization	NOUN
ajst-15577	61	36	)	)	PUNCT
ajst-15577	61	37	first‐order	first‐order	NOUN
ajst-15577	61	38	 	 	SPACE
ajst-15577	61	39	difference	difference	NOUN
ajst-15577	61	40	 	 	SPACE
ajst-15577	61	41	mfcc	mfcc	NOUN
ajst-15577	61	42	second‐order	second‐order	ADJ
ajst-15577	61	43	 	 	SPACE
ajst-15577	61	44	difference	difference	NOUN
ajst-15577	61	45	  	  	SPACE
ajst-15577	61	46	mfcc	mfcc	NOUN
ajst-15577	61	47	d	d	X
ajst-15577	61	48	yn	yn	PROPN
ajst-15577	61	49	am	be	AUX
ajst-15577	61	50	ic	ic	NOUN
ajst-15577	61	51	  	  	SPACE
ajst-15577	61	52	ch	ch	NOUN
ajst-15577	61	53	a	a	DET
ajst-15577	61	54	racte	racte	NOUN
ajst-15577	61	55	ristic	ristic	ADJ
ajst-15577	61	56	figure	figure	NOUN
ajst-15577	61	57	2	2	NUM
ajst-15577	61	58	.	.	NOUN
ajst-15577	61	59	mfcc	mfcc	NOUN
ajst-15577	61	60	feature	feature	NOUN
ajst-15577	61	61	extraction	extraction	NOUN
ajst-15577	61	62	process	process	NOUN
ajst-15577	61	63	○	○	X
ajst-15577	61	64	1	1	NUM
ajst-15577	61	65	pump	pump	NOUN
ajst-15577	61	66	sound	sound	NOUN
ajst-15577	61	67	data	datum	NOUN
ajst-15577	61	68	preprocessing	preprocesse	VERB
ajst-15577	61	69	the	the	DET
ajst-15577	61	70	original	original	ADJ
ajst-15577	61	71	audio	audio	NOUN
ajst-15577	61	72	signal	signal	NOUN
ajst-15577	61	73	is	be	AUX
ajst-15577	61	74	preprocessed	preprocesse	VERB
ajst-15577	61	75	before	before	ADP
ajst-15577	61	76	feature	feature	NOUN
ajst-15577	61	77	extraction	extraction	NOUN
ajst-15577	61	78	of	of	ADP
ajst-15577	61	79	the	the	DET
ajst-15577	61	80	pump	pump	NOUN
ajst-15577	61	81	operating	operate	VERB
ajst-15577	61	82	sound	sound	NOUN
ajst-15577	61	83	signal	signal	NOUN
ajst-15577	61	84	:	:	PUNCT
ajst-15577	61	85	including	include	VERB
ajst-15577	61	86	downsampling	downsample	VERB
ajst-15577	61	87	,	,	PUNCT
ajst-15577	61	88	pre	pre	ADJ
ajst-15577	61	89	-	-	NOUN
ajst-15577	61	90	emphasis	emphasis	NOUN
ajst-15577	61	91	,	,	PUNCT
ajst-15577	61	92	etc	etc	X
ajst-15577	61	93	.	.	X
ajst-15577	62	1	let	let	VERB
ajst-15577	62	2	the	the	DET
ajst-15577	62	3	audio	audio	ADJ
ajst-15577	62	4	signal	signal	NOUN
ajst-15577	62	5	of	of	ADP
ajst-15577	62	6	the	the	DET
ajst-15577	62	7	m	m	PROPN
ajst-15577	62	8	-	-	PUNCT
ajst-15577	62	9	th	th	VERB
ajst-15577	62	10	frame	frame	NOUN
ajst-15577	62	11	be	be	AUX
ajst-15577	62	12	(	(	PUNCT
ajst-15577	62	13	)	)	PUNCT
ajst-15577	62	14	x	x	SYM
ajst-15577	63	1	n	n	PRON
ajst-15577	63	2	obtained	obtain	VERB
ajst-15577	63	3	after	after	ADP
ajst-15577	63	4	preprocessing	preprocesse	VERB
ajst-15577	63	5	.	.	PUNCT
ajst-15577	64	1	○	○	ADJ
ajst-15577	64	2	2	2	NUM
ajst-15577	64	3	split	split	NOUN
ajst-15577	64	4	-	-	PUNCT
ajst-15577	64	5	frame	frame	NOUN
ajst-15577	64	6	the	the	DET
ajst-15577	64	7	mth	mth	NOUN
ajst-15577	64	8	frame	frame	NOUN
ajst-15577	64	9	of	of	ADP
ajst-15577	64	10	the	the	DET
ajst-15577	64	11	pre	pre	ADJ
ajst-15577	64	12	-	-	ADJ
ajst-15577	64	13	processed	process	VERB
ajst-15577	64	14	audio	audio	NOUN
ajst-15577	64	15	signal	signal	NOUN
ajst-15577	64	16	(	(	PUNCT
ajst-15577	64	17	)	)	PUNCT
ajst-15577	64	18	x	x	X
ajst-15577	64	19	n	n	PROPN
ajst-15577	64	20	is	be	AUX
ajst-15577	64	21	sub	sub	ADJ
ajst-15577	64	22	-	-	ADJ
ajst-15577	64	23	framed	framed	ADJ
ajst-15577	64	24	,	,	PUNCT
ajst-15577	64	25	and	and	CCONJ
ajst-15577	64	26	the	the	DET
ajst-15577	64	27	number	number	NOUN
ajst-15577	64	28	of	of	ADP
ajst-15577	64	29	samples	sample	NOUN
ajst-15577	64	30	per	per	ADP
ajst-15577	64	31	frame	frame	NOUN
ajst-15577	64	32	,	,	PUNCT
ajst-15577	64	33	i.e.	i.e.	X
ajst-15577	64	34	,	,	PUNCT
ajst-15577	64	35	the	the	DET
ajst-15577	64	36	length	length	NOUN
ajst-15577	64	37	of	of	ADP
ajst-15577	64	38	each	each	DET
ajst-15577	64	39	frame	frame	NOUN
ajst-15577	64	40	,	,	PUNCT
ajst-15577	64	41	is	be	AUX
ajst-15577	64	42	n	n	PRON
ajst-15577	64	43	.	.	PUNCT
ajst-15577	65	1	a	a	DET
ajst-15577	65	2	50	50	NUM
ajst-15577	65	3	%	%	NOUN
ajst-15577	65	4	overlap	overlap	NOUN
ajst-15577	65	5	is	be	AUX
ajst-15577	65	6	set	set	VERB
ajst-15577	65	7	between	between	ADP
ajst-15577	65	8	every	every	DET
ajst-15577	65	9	two	two	NUM
ajst-15577	65	10	frames	frame	NOUN
ajst-15577	65	11	,	,	PUNCT
ajst-15577	65	12	and	and	CCONJ
ajst-15577	65	13	the	the	DET
ajst-15577	65	14	sampling	sample	VERB
ajst-15577	65	15	rate	rate	NOUN
ajst-15577	65	16	is	be	AUX
ajst-15577	65	17	set	set	VERB
ajst-15577	65	18	to	to	PART
ajst-15577	65	19	be	be	AUX
ajst-15577	65	20	sf	sf	NOUN
ajst-15577	65	21	,	,	PUNCT
ajst-15577	65	22	so	so	SCONJ
ajst-15577	65	23	that	that	SCONJ
ajst-15577	65	24	the	the	DET
ajst-15577	65	25	time	time	NOUN
ajst-15577	65	26	length	length	NOUN
ajst-15577	65	27	of	of	ADP
ajst-15577	65	28	each	each	DET
ajst-15577	65	29	frame	frame	NOUN
ajst-15577	65	30	is	be	AUX
ajst-15577	65	31	:	:	PUNCT
ajst-15577	65	32	/	/	SYM
ajst-15577	65	33	st	st	PROPN
ajst-15577	65	34	n	n	X
ajst-15577	65	35	f	f	PROPN
ajst-15577	65	36	(	(	PUNCT
ajst-15577	65	37	1	1	X
ajst-15577	65	38	)	)	PUNCT
ajst-15577	65	39	○	○	X
ajst-15577	65	40	3	3	NUM
ajst-15577	65	41	plus	plus	CCONJ
ajst-15577	65	42	window	window	NOUN
ajst-15577	65	43	the	the	DET
ajst-15577	65	44	signal	signal	NOUN
ajst-15577	65	45	at	at	ADP
ajst-15577	65	46	each	each	DET
ajst-15577	65	47	sampling	sample	VERB
ajst-15577	65	48	point	point	NOUN
ajst-15577	65	49	is	be	AUX
ajst-15577	65	50	windowed	windowe	VERB
ajst-15577	65	51	using	use	VERB
ajst-15577	65	52	a	a	DET
ajst-15577	65	53	hamming	hamming	NOUN
ajst-15577	65	54	window	window	NOUN
ajst-15577	65	55	to	to	PART
ajst-15577	65	56	minimize	minimize	VERB
ajst-15577	65	57	the	the	DET
ajst-15577	65	58	spectral	spectral	ADJ
ajst-15577	65	59	leakage	leakage	NOUN
ajst-15577	65	60	effect	effect	NOUN
ajst-15577	65	61	of	of	ADP
ajst-15577	65	62	the	the	DET
ajst-15577	65	63	discrete	discrete	ADJ
ajst-15577	65	64	signal	signal	NOUN
ajst-15577	65	65	.	.	PUNCT
ajst-15577	66	1	assuming	assume	VERB
ajst-15577	66	2	that	that	SCONJ
ajst-15577	66	3	the	the	DET
ajst-15577	66	4	window	window	NOUN
ajst-15577	66	5	function	function	NOUN
ajst-15577	66	6	of	of	ADP
ajst-15577	66	7	the	the	DET
ajst-15577	66	8	mth	mth	NOUN
ajst-15577	66	9	frame	frame	NOUN
ajst-15577	66	10	is	be	AUX
ajst-15577	66	11	(	(	PUNCT
ajst-15577	66	12	,	,	PUNCT
ajst-15577	66	13	)	)	PUNCT
ajst-15577	66	14	w	w	NOUN
ajst-15577	66	15	m	m	PROPN
ajst-15577	66	16	n	n	NUM
ajst-15577	66	17	,	,	PUNCT
ajst-15577	66	18	the	the	DET
ajst-15577	66	19	signal	signal	NOUN
ajst-15577	66	20	weighted	weight	VERB
ajst-15577	66	21	by	by	ADP
ajst-15577	66	22	the	the	DET
ajst-15577	66	23	window	window	NOUN
ajst-15577	66	24	function	function	NOUN
ajst-15577	66	25	of	of	ADP
ajst-15577	66	26	the	the	DET
ajst-15577	66	27	mth	mth	NOUN
ajst-15577	66	28	frame	frame	NOUN
ajst-15577	66	29	is	be	AUX
ajst-15577	66	30	:	:	PUNCT
ajst-15577	66	31	(	(	PUNCT
ajst-15577	66	32	,	,	PUNCT
ajst-15577	66	33	)	)	PUNCT
ajst-15577	66	34	(	(	PUNCT
ajst-15577	66	35	)	)	PUNCT
ajst-15577	66	36	(	(	PUNCT
ajst-15577	66	37	,	,	PUNCT
ajst-15577	66	38	)	)	PUNCT
ajst-15577	66	39	,	,	PUNCT
ajst-15577	66	40	0	0	NUM
ajst-15577	66	41	,	,	PUNCT
ajst-15577	66	42	0xw	0xw	ADJ
ajst-15577	66	43	m	m	VERB
ajst-15577	66	44	n	n	NOUN
ajst-15577	66	45	x	x	SYM
ajst-15577	66	46	n	n	PROPN
ajst-15577	66	47	w	w	PROPN
ajst-15577	66	48	m	m	VERB
ajst-15577	66	49	n	n	ADP
ajst-15577	66	50	n	n	CCONJ
ajst-15577	66	51	n	n	PRON
ajst-15577	66	52	m	m	VERB
ajst-15577	66	53	m	m	NOUN
ajst-15577	66	54			VERB
ajst-15577	66	55			NOUN
ajst-15577	66	56			PROPN
ajst-15577	66	57			NOUN
ajst-15577	66	58			PROPN
ajst-15577	66	59	(	(	PUNCT
ajst-15577	66	60	2	2	X
ajst-15577	66	61	)	)	PUNCT
ajst-15577	66	62	○	○	X
ajst-15577	66	63	4	4	NUM
ajst-15577	66	64	fourier	fourier	NOUN
ajst-15577	66	65	transform	transform	NOUN
ajst-15577	66	66	perform	perform	VERB
ajst-15577	66	67	the	the	DET
ajst-15577	66	68	fourier	fourier	ADJ
ajst-15577	66	69	transform	transform	NOUN
ajst-15577	66	70	of	of	ADP
ajst-15577	66	71	the	the	DET
ajst-15577	66	72	windowed	windowed	ADJ
ajst-15577	66	73	signal	signal	NOUN
ajst-15577	66	74	(	(	PUNCT
ajst-15577	66	75	,	,	PUNCT
ajst-15577	66	76	)	)	PUNCT
ajst-15577	66	77	xw	xw	PROPN
ajst-15577	66	78	m	m	PROPN
ajst-15577	66	79	n	n	ADP
ajst-15577	66	80	to	to	PART
ajst-15577	66	81	find	find	VERB
ajst-15577	66	82	its	its	PRON
ajst-15577	66	83	frequency	frequency	NOUN
ajst-15577	66	84	domain	domain	NOUN
ajst-15577	66	85	representation	representation	NOUN
ajst-15577	66	86	as	as	ADP
ajst-15577	66	87	:	:	PUNCT
ajst-15577	66	88	(	(	PUNCT
ajst-15577	66	89	,	,	PUNCT
ajst-15577	66	90	)	)	PUNCT
ajst-15577	66	91	[	[	PUNCT
ajst-15577	66	92	(	(	PUNCT
ajst-15577	66	93	,	,	PUNCT
ajst-15577	66	94	)	)	PUNCT
ajst-15577	66	95	]	]	PUNCT
ajst-15577	66	96	,	,	PUNCT
ajst-15577	66	97	0x	0x	PROPN
ajst-15577	66	98	m	m	NOUN
ajst-15577	66	99	k	k	PROPN
ajst-15577	66	100	fft	fft	PROPN
ajst-15577	66	101	xw	xw	PROPN
ajst-15577	66	102	m	m	PROPN
ajst-15577	66	103	n	n	PROPN
ajst-15577	66	104	k	k	PROPN
ajst-15577	66	105	k	k	PROPN
ajst-15577	66	106			PROPN
ajst-15577	66	107			PROPN
ajst-15577	66	108	(	(	PUNCT
ajst-15577	66	109	3	3	NUM
ajst-15577	66	110	)	)	PUNCT
ajst-15577	66	111	eq	eq	NOUN
ajst-15577	66	112	.	.	PUNCT
ajst-15577	67	1	(	(	PUNCT
ajst-15577	67	2	3	3	X
ajst-15577	67	3	)	)	PUNCT
ajst-15577	67	4	by	by	ADP
ajst-15577	67	5	fourier	fourier	ADJ
ajst-15577	67	6	transform	transform	NOUN
ajst-15577	67	7	can	can	AUX
ajst-15577	67	8	be	be	AUX
ajst-15577	67	9	the	the	DET
ajst-15577	67	10	mth	mth	NOUN
ajst-15577	67	11	frame	frame	NOUN
ajst-15577	67	12	of	of	ADP
ajst-15577	67	13	the	the	DET
ajst-15577	67	14	signal	signal	ADJ
ajst-15577	67	15	sequence	sequence	NOUN
ajst-15577	67	16	(	(	PUNCT
ajst-15577	67	17	,	,	PUNCT
ajst-15577	67	18	)	)	PUNCT
ajst-15577	67	19	wx	wx	PROPN
ajst-15577	67	20	m	m	VERB
ajst-15577	67	21	n	n	NUM
ajst-15577	67	22	from	from	ADP
ajst-15577	67	23	the	the	DET
ajst-15577	67	24	time	time	NOUN
ajst-15577	67	25	domain	domain	NOUN
ajst-15577	67	26	to	to	ADP
ajst-15577	67	27	the	the	DET
ajst-15577	67	28	frequency	frequency	NOUN
ajst-15577	67	29	domain	domain	NOUN
ajst-15577	67	30	representation	representation	NOUN
ajst-15577	67	31	,	,	PUNCT
ajst-15577	67	32	you	you	PRON
ajst-15577	67	33	can	can	AUX
ajst-15577	67	34	get	get	VERB
ajst-15577	67	35	the	the	DET
ajst-15577	67	36	sequence	sequence	NOUN
ajst-15577	67	37	(	(	PUNCT
ajst-15577	67	38	,	,	PUNCT
ajst-15577	67	39	)	)	PUNCT
ajst-15577	67	40	x	x	X
ajst-15577	67	41	m	m	VERB
ajst-15577	67	42	k	k	NOUN
ajst-15577	67	43	,	,	PUNCT
ajst-15577	67	44	which	which	PRON
ajst-15577	67	45	contains	contain	VERB
ajst-15577	67	46	the	the	DET
ajst-15577	67	47	signal	signal	NOUN
ajst-15577	67	48	at	at	ADP
ajst-15577	67	49	different	different	ADJ
ajst-15577	67	50	frequencies	frequency	NOUN
ajst-15577	67	51	of	of	ADP
ajst-15577	67	52	the	the	DET
ajst-15577	67	53	component	component	NOUN
ajst-15577	67	54	strength	strength	NOUN
ajst-15577	67	55	.	.	PUNCT
ajst-15577	68	1	where	where	SCONJ
ajst-15577	68	2	k	k	PROPN
ajst-15577	68	3	is	be	AUX
ajst-15577	68	4	the	the	DET
ajst-15577	68	5	sequence	sequence	NOUN
ajst-15577	68	6	number	number	NOUN
ajst-15577	68	7	,	,	PUNCT
ajst-15577	68	8	each	each	PRON
ajst-15577	68	9	of	of	ADP
ajst-15577	68	10	which	which	PRON
ajst-15577	68	11	corresponds	correspond	VERB
ajst-15577	68	12	to	to	ADP
ajst-15577	68	13	a	a	DET
ajst-15577	68	14	frequency	frequency	NOUN
ajst-15577	68	15	in	in	ADP
ajst-15577	68	16	the	the	DET
ajst-15577	68	17	spectrum;k	spectrum;k	NOUN
ajst-15577	68	18	is	be	AUX
ajst-15577	68	19	the	the	DET
ajst-15577	68	20	number	number	NOUN
ajst-15577	68	21	of	of	ADP
ajst-15577	68	22	points	point	NOUN
ajst-15577	68	23	in	in	ADP
ajst-15577	68	24	the	the	DET
ajst-15577	68	25	fourier	fourier	NOUN
ajst-15577	68	26	transform	transform	NOUN
ajst-15577	68	27	.	.	PUNCT
ajst-15577	69	1	○	○	ADJ
ajst-15577	69	2	5	5	NUM
ajst-15577	69	3	calculate	calculate	NOUN
ajst-15577	69	4	power	power	NOUN
ajst-15577	69	5	spectral	spectral	ADJ
ajst-15577	69	6	density	density	PROPN
ajst-15577	69	7	power	power	PROPN
ajst-15577	69	8	spectral	spectral	ADJ
ajst-15577	69	9	density	density	NOUN
ajst-15577	69	10	(	(	PUNCT
ajst-15577	69	11	psd	psd	NOUN
ajst-15577	69	12	)	)	PUNCT
ajst-15577	69	13	is	be	AUX
ajst-15577	69	14	a	a	DET
ajst-15577	69	15	function	function	NOUN
ajst-15577	69	16	that	that	PRON
ajst-15577	69	17	describes	describe	VERB
ajst-15577	69	18	the	the	DET
ajst-15577	69	19	power	power	NOUN
ajst-15577	69	20	distribution	distribution	NOUN
ajst-15577	69	21	of	of	ADP
ajst-15577	69	22	a	a	DET
ajst-15577	69	23	signal	signal	NOUN
ajst-15577	69	24	as	as	ADP
ajst-15577	69	25	a	a	DET
ajst-15577	69	26	function	function	NOUN
ajst-15577	69	27	of	of	ADP
ajst-15577	69	28	frequency	frequency	NOUN
ajst-15577	69	29	.	.	PUNCT
ajst-15577	70	1	it	it	PRON
ajst-15577	70	2	is	be	AUX
ajst-15577	70	3	the	the	DET
ajst-15577	70	4	square	square	NOUN
ajst-15577	70	5	of	of	ADP
ajst-15577	70	6	the	the	DET
ajst-15577	70	7	fourier	fourier	NOUN
ajst-15577	70	8	transform	transform	NOUN
ajst-15577	70	9	and	and	CCONJ
ajst-15577	70	10	represents	represent	VERB
ajst-15577	70	11	the	the	DET
ajst-15577	70	12	magnitude	magnitude	NOUN
ajst-15577	70	13	of	of	ADP
ajst-15577	70	14	the	the	DET
ajst-15577	70	15	signal	signal	ADJ
ajst-15577	70	16	power	power	NOUN
ajst-15577	70	17	at	at	ADP
ajst-15577	70	18	different	different	ADJ
ajst-15577	70	19	frequencies	frequency	NOUN
ajst-15577	70	20	.	.	PUNCT
ajst-15577	71	1	the	the	DET
ajst-15577	71	2	power	power	NOUN
ajst-15577	71	3	spectral	spectral	ADJ
ajst-15577	71	4	density	density	NOUN
ajst-15577	71	5	(	(	PUNCT
ajst-15577	71	6	,	,	PUNCT
ajst-15577	71	7	)	)	PUNCT
ajst-15577	71	8	p	p	NOUN
ajst-15577	71	9	m	m	VERB
ajst-15577	71	10	k	k	NOUN
ajst-15577	71	11	is	be	AUX
ajst-15577	71	12	calculated	calculate	VERB
ajst-15577	71	13	as	as	ADP
ajst-15577	71	14	:	:	SYM
ajst-15577	71	15	2	2	NUM
ajst-15577	71	16	(	(	PUNCT
ajst-15577	71	17	,	,	PUNCT
ajst-15577	71	18	)	)	PUNCT
ajst-15577	71	19	(	(	PUNCT
ajst-15577	71	20	,	,	PUNCT
ajst-15577	71	21	)	)	PUNCT
ajst-15577	71	22	x	x	PUNCT
ajst-15577	72	1	m	m	AUX
ajst-15577	72	2	k	k	X
ajst-15577	72	3	p	p	X
ajst-15577	72	4	m	m	VERB
ajst-15577	72	5	k	k	NOUN
ajst-15577	73	1	n	n	ADV
ajst-15577	73	2			NUM
ajst-15577	73	3	(	(	PUNCT
ajst-15577	73	4	4	4	NUM
ajst-15577	73	5	)	)	PUNCT
ajst-15577	73	6	○	○	X
ajst-15577	73	7	6	6	NUM
ajst-15577	73	8	calculating	calculate	VERB
ajst-15577	73	9	the	the	DET
ajst-15577	73	10	mel	mel	PROPN
ajst-15577	73	11	frequency	frequency	PROPN
ajst-15577	73	12	power	power	PROPN
ajst-15577	73	13	spectral	spectral	ADJ
ajst-15577	73	14	density	density	NOUN
ajst-15577	73	15	this	this	PRON
ajst-15577	73	16	is	be	AUX
ajst-15577	73	17	usually	usually	ADV
ajst-15577	73	18	accomplished	accomplish	VERB
ajst-15577	73	19	with	with	ADP
ajst-15577	73	20	triangular	triangular	NOUN
ajst-15577	73	21	filter	filter	NOUN
ajst-15577	73	22	banks	bank	NOUN
ajst-15577	73	23	,	,	PUNCT
ajst-15577	73	24	each	each	PRON
ajst-15577	73	25	corresponding	correspond	VERB
ajst-15577	73	26	to	to	ADP
ajst-15577	73	27	a	a	DET
ajst-15577	73	28	meier	meier	PROPN
ajst-15577	73	29	frequency	frequency	NOUN
ajst-15577	73	30	and	and	CCONJ
ajst-15577	73	31	shaped	shape	VERB
ajst-15577	73	32	like	like	ADP
ajst-15577	73	33	a	a	DET
ajst-15577	73	34	triangle	triangle	NOUN
ajst-15577	73	35	.	.	PUNCT
ajst-15577	74	1	the	the	DET
ajst-15577	74	2	triangular	triangular	NOUN
ajst-15577	74	3	filters	filter	VERB
ajst-15577	74	4	filter	filter	NOUN
ajst-15577	74	5	and	and	CCONJ
ajst-15577	74	6	downsample	downsample	VERB
ajst-15577	74	7	the	the	DET
ajst-15577	74	8	signal	signal	NOUN
ajst-15577	74	9	on	on	ADP
ajst-15577	74	10	the	the	DET
ajst-15577	74	11	meier	meier	PROPN
ajst-15577	74	12	frequency	frequency	NOUN
ajst-15577	74	13	scale	scale	NOUN
ajst-15577	74	14	to	to	PART
ajst-15577	74	15	extract	extract	VERB
ajst-15577	74	16	audio	audio	NOUN
ajst-15577	74	17	features	feature	NOUN
ajst-15577	74	18	that	that	PRON
ajst-15577	74	19	are	be	AUX
ajst-15577	74	20	closer	close	ADJ
ajst-15577	74	21	to	to	ADP
ajst-15577	74	22	the	the	DET
ajst-15577	74	23	frequency	frequency	NOUN
ajst-15577	74	24	response	response	NOUN
ajst-15577	74	25	perceived	perceive	VERB
ajst-15577	74	26	by	by	ADP
ajst-15577	74	27	the	the	DET
ajst-15577	74	28	human	human	ADJ
ajst-15577	74	29	ear	ear	NOUN
ajst-15577	74	30	.	.	PUNCT
ajst-15577	75	1	define	define	VERB
ajst-15577	75	2	a	a	DET
ajst-15577	75	3	filter	filter	NOUN
ajst-15577	75	4	bank	bank	NOUN
ajst-15577	75	5	consisting	consist	VERB
ajst-15577	75	6	of	of	ADP
ajst-15577	75	7	i	i	PRON
ajst-15577	75	8	triangular	triangular	NOUN
ajst-15577	75	9	filters	filter	NOUN
ajst-15577	75	10	,	,	PUNCT
ajst-15577	75	11	each	each	PRON
ajst-15577	75	12	with	with	ADP
ajst-15577	75	13	center	center	ADJ
ajst-15577	75	14	frequency	frequency	NOUN
ajst-15577	75	15	(	(	PUNCT
ajst-15577	75	16	)	)	PUNCT
ajst-15577	75	17	f	f	NOUN
ajst-15577	75	18	i	i	PRON
ajst-15577	75	19	,	,	PUNCT
ajst-15577	75	20	and	and	CCONJ
ajst-15577	75	21	its	its	PRON
ajst-15577	75	22	frequency	frequency	NOUN
ajst-15577	75	23	response	response	NOUN
ajst-15577	75	24	is	be	AUX
ajst-15577	75	25	:	:	PUNCT
ajst-15577	75	26	0	0	NUM
ajst-15577	75	27	,	,	PUNCT
ajst-15577	75	28	(	(	PUNCT
ajst-15577	75	29	1	1	NUM
ajst-15577	75	30	)	)	PUNCT
ajst-15577	75	31	2	2	NUM
ajst-15577	75	32	[	[	PUNCT
ajst-15577	75	33	(	(	PUNCT
ajst-15577	75	34	1	1	NUM
ajst-15577	75	35	)	)	PUNCT
ajst-15577	75	36	]	]	PUNCT
ajst-15577	75	37	,	,	PUNCT
ajst-15577	75	38	(	(	PUNCT
ajst-15577	75	39	1	1	X
ajst-15577	75	40	)	)	PUNCT
ajst-15577	75	41	(	(	PUNCT
ajst-15577	75	42	)	)	PUNCT
ajst-15577	75	43	[	[	PUNCT
ajst-15577	75	44	(	(	PUNCT
ajst-15577	75	45	1	1	NUM
ajst-15577	75	46	)	)	PUNCT
ajst-15577	75	47	(	(	PUNCT
ajst-15577	75	48	1	1	NUM
ajst-15577	75	49	)	)	PUNCT
ajst-15577	75	50	]	]	PUNCT
ajst-15577	75	51	[	[	PUNCT
ajst-15577	75	52	(	(	PUNCT
ajst-15577	75	53	)	)	PUNCT
ajst-15577	75	54	(	(	PUNCT
ajst-15577	75	55	1	1	NUM
ajst-15577	75	56	)	)	PUNCT
ajst-15577	75	57	]	]	PUNCT
ajst-15577	75	58	(	(	PUNCT
ajst-15577	75	59	)	)	PUNCT
ajst-15577	75	60	2	2	NUM
ajst-15577	75	61	[	[	PUNCT
ajst-15577	75	62	(	(	PUNCT
ajst-15577	75	63	1	1	NUM
ajst-15577	75	64	)	)	PUNCT
ajst-15577	75	65	]	]	PUNCT
ajst-15577	75	66	,	,	PUNCT
ajst-15577	75	67	(	(	PUNCT
ajst-15577	75	68	)	)	PUNCT
ajst-15577	75	69	(	(	PUNCT
ajst-15577	75	70	1	1	X
ajst-15577	75	71	)	)	PUNCT
ajst-15577	75	72	[	[	PUNCT
ajst-15577	75	73	(	(	PUNCT
ajst-15577	75	74	1	1	NUM
ajst-15577	75	75	)	)	PUNCT
ajst-15577	75	76	(	(	PUNCT
ajst-15577	75	77	1	1	NUM
ajst-15577	75	78	)	)	PUNCT
ajst-15577	75	79	]	]	PUNCT
ajst-15577	75	80	[	[	PUNCT
ajst-15577	75	81	(	(	PUNCT
ajst-15577	75	82	)	)	PUNCT
ajst-15577	75	83	(	(	PUNCT
ajst-15577	75	84	1	1	NUM
ajst-15577	75	85	)	)	PUNCT
ajst-15577	75	86	]	]	PUNCT
ajst-15577	76	1	0	0	NUM
ajst-15577	76	2	,	,	PUNCT
ajst-15577	76	3	(	(	PUNCT
ajst-15577	76	4	1	1	X
ajst-15577	76	5	)	)	PUNCT
ajst-15577	76	6	i	i	PRON
ajst-15577	76	7	k	k	NOUN
ajst-15577	77	1	f	f	VERB
ajst-15577	78	1	i	i	PRON
ajst-15577	78	2	k	k	PROPN
ajst-15577	79	1	f	f	VERB
ajst-15577	80	1	i	i	PRON
ajst-15577	80	2	f	f	VERB
ajst-15577	81	1	i	i	PRON
ajst-15577	81	2	k	k	PROPN
ajst-15577	82	1	f	f	VERB
ajst-15577	83	1	i	i	PRON
ajst-15577	83	2	f	f	VERB
ajst-15577	84	1	i	i	PRON
ajst-15577	84	2	f	f	VERB
ajst-15577	85	1	i	i	PRON
ajst-15577	85	2	f	f	VERB
ajst-15577	86	1	i	i	PRON
ajst-15577	86	2	f	f	VERB
ajst-15577	87	1	i	i	PRON
ajst-15577	87	2	h	h	VERB
ajst-15577	88	1	k	k	NOUN
ajst-15577	88	2	f	f	PROPN
ajst-15577	89	1	i	i	PRON
ajst-15577	89	2	k	k	PROPN
ajst-15577	90	1	f	f	VERB
ajst-15577	91	1	i	i	PRON
ajst-15577	91	2	k	k	PROPN
ajst-15577	92	1	f	f	VERB
ajst-15577	93	1	i	i	PRON
ajst-15577	93	2	f	f	VERB
ajst-15577	94	1	i	i	PRON
ajst-15577	94	2	f	f	VERB
ajst-15577	95	1	i	i	PRON
ajst-15577	95	2	f	f	VERB
ajst-15577	96	1	i	i	PRON
ajst-15577	96	2	f	f	VERB
ajst-15577	97	1	i	i	PRON
ajst-15577	97	2	k	k	PROPN
ajst-15577	98	1	f	f	PROPN
ajst-15577	98	2	i	i	PRON
ajst-15577	98	3			PROPN
ajst-15577	98	4			VERB
ajst-15577	98	5			NUM
ajst-15577	98	6			NOUN
ajst-15577	98	7			VERB
ajst-15577	98	8			NOUN
ajst-15577	98	9			NOUN
ajst-15577	98	10			PROPN
ajst-15577	98	11			VERB
ajst-15577	98	12			PROPN
ajst-15577	98	13			PROPN
ajst-15577	98	14			NOUN
ajst-15577	98	15			NOUN
ajst-15577	98	16			NUM
ajst-15577	98	17			PUNCT
ajst-15577	98	18			VERB
ajst-15577	98	19			NUM
ajst-15577	98	20			PROPN
ajst-15577	98	21			VERB
ajst-15577	98	22			NUM
ajst-15577	98	23			X
ajst-15577	98	24			PROPN
ajst-15577	98	25			PROPN
ajst-15577	98	26			PROPN
ajst-15577	98	27			NOUN
ajst-15577	98	28			NUM
ajst-15577	98	29			NUM
ajst-15577	98	30			X
ajst-15577	98	31	(	(	PUNCT
ajst-15577	98	32	5	5	X
ajst-15577	98	33	)	)	PUNCT
ajst-15577	98	34	mapping	mapping	NOUN
ajst-15577	98	35	(	(	PUNCT
ajst-15577	98	36	,	,	PUNCT
ajst-15577	98	37	)	)	PUNCT
ajst-15577	98	38	p	p	NOUN
ajst-15577	98	39	m	m	X
ajst-15577	98	40	k	k	NOUN
ajst-15577	98	41	onto	onto	ADP
ajst-15577	98	42	the	the	DET
ajst-15577	98	43	mel	mel	PROPN
ajst-15577	98	44	-	-	PUNCT
ajst-15577	98	45	frequency	frequency	NOUN
ajst-15577	98	46	scale	scale	NOUN
ajst-15577	98	47	using	use	VERB
ajst-15577	98	48	a	a	DET
ajst-15577	98	49	triangular	triangular	NOUN
ajst-15577	98	50	filter	filter	NOUN
ajst-15577	98	51	bank	bank	NOUN
ajst-15577	98	52	yields	yield	VERB
ajst-15577	98	53	a	a	DET
ajst-15577	98	54	mel	mel	PROPN
ajst-15577	98	55	-	-	PUNCT
ajst-15577	98	56	frequency	frequency	PROPN
ajst-15577	98	57	power	power	NOUN
ajst-15577	98	58	spectral	spectral	ADJ
ajst-15577	98	59	density	density	NOUN
ajst-15577	98	60	(	(	PUNCT
ajst-15577	98	61	mpsd	mpsd	NOUN
ajst-15577	98	62	)	)	PUNCT
ajst-15577	98	63	of	of	ADP
ajst-15577	98	64	:	:	PUNCT
ajst-15577	98	65	1	1	NUM
ajst-15577	98	66	0	0	NUM
ajst-15577	98	67	(	(	PUNCT
ajst-15577	98	68	,	,	PUNCT
ajst-15577	98	69	)	)	PUNCT
ajst-15577	98	70	(	(	PUNCT
ajst-15577	98	71	,	,	PUNCT
ajst-15577	98	72	)	)	PUNCT
ajst-15577	98	73	(	(	PUNCT
ajst-15577	98	74	)	)	PUNCT
ajst-15577	98	75	,	,	PUNCT
ajst-15577	98	76	0	0	PUNCT
ajst-15577	99	1	i	i	PRON
ajst-15577	99	2	m	m	VERB
ajst-15577	100	1	i	i	VERB
ajst-15577	100	2	k	k	NOUN
ajst-15577	101	1	p	p	X
ajst-15577	101	2	m	m	VERB
ajst-15577	101	3	i	i	PRON
ajst-15577	101	4	p	p	NOUN
ajst-15577	101	5	m	m	VERB
ajst-15577	101	6	k	k	NOUN
ajst-15577	102	1	h	h	NOUN
ajst-15577	103	1	k	k	PROPN
ajst-15577	104	1	i	i	PRON
ajst-15577	104	2	i	i	PRON
ajst-15577	104	3			VERB
ajst-15577	104	4			ADV
ajst-15577	104	5			NOUN
ajst-15577	104	6			NOUN
ajst-15577	104	7			NOUN
ajst-15577	104	8			PUNCT
ajst-15577	104	9	(	(	PUNCT
ajst-15577	104	10	6	6	NUM
ajst-15577	104	11	)	)	PUNCT
ajst-15577	104	12	○	○	ADJ
ajst-15577	104	13	7	7	NUM
ajst-15577	104	14	discrete	discrete	ADJ
ajst-15577	104	15	cosine	cosine	NOUN
ajst-15577	104	16	transform	transform	VERB
ajst-15577	104	17	the	the	DET
ajst-15577	104	18	discrete	discrete	ADJ
ajst-15577	104	19	cosine	cosine	NOUN
ajst-15577	104	20	transform	transform	NOUN
ajst-15577	104	21	(	(	PUNCT
ajst-15577	104	22	dct	dct	PROPN
ajst-15577	104	23	)	)	PUNCT
ajst-15577	104	24	of	of	ADP
ajst-15577	104	25	the	the	DET
ajst-15577	104	26	meier	meier	PROPN
ajst-15577	104	27	frequency	frequency	PROPN
ajst-15577	104	28	power	power	PROPN
ajst-15577	104	29	spectral	spectral	ADJ
ajst-15577	104	30	density	density	NOUN
ajst-15577	104	31	yields	yield	VERB
ajst-15577	104	32	the	the	DET
ajst-15577	104	33	mfcc	mfcc	NOUN
ajst-15577	104	34	coefficient	coefficient	NOUN
ajst-15577	104	35	as	as	ADP
ajst-15577	104	36	:	:	PUNCT
ajst-15577	104	37	1	1	NUM
ajst-15577	104	38	0	0	NUM
ajst-15577	104	39	(	(	PUNCT
ajst-15577	104	40	0.5	0.5	NUM
ajst-15577	104	41	)	)	PUNCT
ajst-15577	104	42	(	(	PUNCT
ajst-15577	104	43	,	,	PUNCT
ajst-15577	104	44	)	)	PUNCT
ajst-15577	105	1	ln	ln	X
ajst-15577	105	2	[	[	PUNCT
ajst-15577	105	3	(	(	PUNCT
ajst-15577	105	4	,	,	PUNCT
ajst-15577	105	5	)	)	PUNCT
ajst-15577	105	6	]	]	X
ajst-15577	106	1	cos	cos	ADP
ajst-15577	106	2	i	i	PRON
ajst-15577	106	3	m	m	VERB
ajst-15577	106	4	i	i	PRON
ajst-15577	106	5	j	j	NOUN
ajst-15577	106	6	i	i	INTJ
ajst-15577	106	7	c	c	VERB
ajst-15577	106	8	m	m	VERB
ajst-15577	106	9	j	j	PROPN
ajst-15577	106	10	n	n	PRON
ajst-15577	106	11	p	p	NOUN
ajst-15577	106	12	m	m	VERB
ajst-15577	106	13	i	i	PRON
ajst-15577	106	14	i	i	PRON
ajst-15577	107	1			ADV
ajst-15577	107	2			NUM
ajst-15577	107	3			PUNCT
ajst-15577	107	4			X
ajst-15577	107	5			NUM
ajst-15577	107	6	(	(	PUNCT
ajst-15577	107	7	7	7	NUM
ajst-15577	107	8	)	)	PUNCT
ajst-15577	107	9	where	where	SCONJ
ajst-15577	107	10	j	j	PROPN
ajst-15577	107	11	denotes	denote	VERB
ajst-15577	107	12	the	the	DET
ajst-15577	107	13	dimension	dimension	NOUN
ajst-15577	107	14	of	of	ADP
ajst-15577	107	15	the	the	DET
ajst-15577	107	16	mfcc	mfcc	NOUN
ajst-15577	107	17	coefficient	coefficient	NOUN
ajst-15577	108	1	and	and	CCONJ
ajst-15577	108	2	i	i	PRON
ajst-15577	108	3	denotes	denote	VERB
ajst-15577	108	4	the	the	DET
ajst-15577	108	5	number	number	NOUN
ajst-15577	108	6	of	of	ADP
ajst-15577	108	7	triangular	triangular	NOUN
ajst-15577	108	8	filters	filter	NOUN
ajst-15577	108	9	.	.	PUNCT
ajst-15577	109	1	○	○	ADJ
ajst-15577	109	2	8	8	NUM
ajst-15577	109	3	compute	compute	VERB
ajst-15577	109	4	the	the	DET
ajst-15577	109	5	first	first	ADJ
ajst-15577	109	6	-	-	PUNCT
ajst-15577	109	7	order	order	NOUN
ajst-15577	109	8	second	second	ADJ
ajst-15577	109	9	-	-	PUNCT
ajst-15577	109	10	order	order	NOUN
ajst-15577	109	11	difference	difference	NOUN
ajst-15577	109	12	of	of	ADP
ajst-15577	109	13	the	the	DET
ajst-15577	109	14	93	93	NUM
ajst-15577	109	15	mfcc	mfcc	NOUN
ajst-15577	109	16	the	the	DET
ajst-15577	109	17	mfcc	mfcc	NOUN
ajst-15577	109	18	features	feature	VERB
ajst-15577	109	19	themselves	themselves	PRON
ajst-15577	109	20	are	be	AUX
ajst-15577	109	21	static	static	ADJ
ajst-15577	109	22	features	feature	NOUN
ajst-15577	109	23	,	,	PUNCT
ajst-15577	109	24	which	which	PRON
ajst-15577	109	25	have	have	VERB
ajst-15577	109	26	better	well	ADJ
ajst-15577	109	27	time	time	NOUN
ajst-15577	109	28	invariance	invariance	NOUN
ajst-15577	109	29	,	,	PUNCT
ajst-15577	109	30	but	but	CCONJ
ajst-15577	109	31	lack	lack	VERB
ajst-15577	109	32	the	the	DET
ajst-15577	109	33	information	information	NOUN
ajst-15577	109	34	of	of	ADP
ajst-15577	109	35	time	time	NOUN
ajst-15577	109	36	series	series	NOUN
ajst-15577	109	37	and	and	CCONJ
ajst-15577	109	38	can	can	AUX
ajst-15577	109	39	not	not	PART
ajst-15577	109	40	reflect	reflect	VERB
ajst-15577	109	41	the	the	DET
ajst-15577	109	42	dynamic	dynamic	ADJ
ajst-15577	109	43	characteristics	characteristic	NOUN
ajst-15577	109	44	of	of	ADP
ajst-15577	109	45	the	the	DET
ajst-15577	109	46	pump	pump	NOUN
ajst-15577	109	47	sound	sound	NOUN
ajst-15577	109	48	signal	signal	NOUN
ajst-15577	109	49	.	.	PUNCT
ajst-15577	110	1	dynamic	dynamic	ADJ
ajst-15577	110	2	features	feature	NOUN
ajst-15577	110	3	,	,	PUNCT
ajst-15577	110	4	on	on	ADP
ajst-15577	110	5	the	the	DET
ajst-15577	110	6	other	other	ADJ
ajst-15577	110	7	hand	hand	NOUN
ajst-15577	110	8	,	,	PUNCT
ajst-15577	110	9	are	be	AUX
ajst-15577	110	10	obtained	obtain	VERB
ajst-15577	110	11	on	on	ADP
ajst-15577	110	12	the	the	DET
ajst-15577	110	13	basis	basis	NOUN
ajst-15577	110	14	of	of	ADP
ajst-15577	110	15	static	static	ADJ
ajst-15577	110	16	features	feature	NOUN
ajst-15577	110	17	by	by	ADP
ajst-15577	110	18	differencing	difference	VERB
ajst-15577	110	19	or	or	CCONJ
ajst-15577	110	20	superimposing	superimpose	VERB
ajst-15577	110	21	the	the	DET
ajst-15577	110	22	features	feature	NOUN
ajst-15577	110	23	of	of	ADP
ajst-15577	110	24	neighboring	neighboring	NOUN
ajst-15577	110	25	time	time	NOUN
ajst-15577	110	26	windows	window	NOUN
ajst-15577	110	27	.	.	PUNCT
ajst-15577	111	1	the	the	DET
ajst-15577	111	2	advantage	advantage	NOUN
ajst-15577	111	3	of	of	ADP
ajst-15577	111	4	dynamic	dynamic	ADJ
ajst-15577	111	5	features	feature	NOUN
ajst-15577	111	6	is	be	AUX
ajst-15577	111	7	that	that	SCONJ
ajst-15577	111	8	they	they	PRON
ajst-15577	111	9	can	can	AUX
ajst-15577	111	10	reflect	reflect	VERB
ajst-15577	111	11	the	the	DET
ajst-15577	111	12	dynamic	dynamic	ADJ
ajst-15577	111	13	changes	change	NOUN
ajst-15577	111	14	of	of	ADP
ajst-15577	111	15	the	the	DET
ajst-15577	111	16	pump	pump	NOUN
ajst-15577	111	17	sound	sound	NOUN
ajst-15577	111	18	signal	signal	NOUN
ajst-15577	111	19	,	,	PUNCT
ajst-15577	111	20	making	make	VERB
ajst-15577	111	21	the	the	DET
ajst-15577	111	22	model	model	NOUN
ajst-15577	111	23	better	well	ADV
ajst-15577	111	24	able	able	ADJ
ajst-15577	111	25	to	to	PART
ajst-15577	111	26	deal	deal	VERB
ajst-15577	111	27	with	with	ADP
ajst-15577	111	28	the	the	DET
ajst-15577	111	29	continuity	continuity	NOUN
ajst-15577	111	30	and	and	CCONJ
ajst-15577	111	31	timing	timing	NOUN
ajst-15577	111	32	of	of	ADP
ajst-15577	111	33	the	the	DET
ajst-15577	111	34	pump	pump	NOUN
ajst-15577	111	35	sound	sound	NOUN
ajst-15577	111	36	signal	signal	NOUN
ajst-15577	111	37	.	.	PUNCT
ajst-15577	112	1	the	the	DET
ajst-15577	112	2	combined	combine	VERB
ajst-15577	112	3	use	use	NOUN
ajst-15577	112	4	of	of	ADP
ajst-15577	112	5	static	static	ADJ
ajst-15577	112	6	and	and	CCONJ
ajst-15577	112	7	dynamic	dynamic	ADJ
ajst-15577	112	8	features	feature	NOUN
ajst-15577	112	9	can	can	AUX
ajst-15577	112	10	improve	improve	VERB
ajst-15577	112	11	the	the	DET
ajst-15577	112	12	accuracy	accuracy	NOUN
ajst-15577	112	13	and	and	CCONJ
ajst-15577	112	14	robustness	robustness	NOUN
ajst-15577	112	15	of	of	ADP
ajst-15577	112	16	the	the	DET
ajst-15577	112	17	model	model	NOUN
ajst-15577	112	18	,	,	PUNCT
ajst-15577	112	19	making	make	VERB
ajst-15577	112	20	the	the	DET
ajst-15577	112	21	model	model	NOUN
ajst-15577	112	22	more	more	ADV
ajst-15577	112	23	suitable	suitable	ADJ
ajst-15577	112	24	for	for	ADP
ajst-15577	112	25	handling	handle	VERB
ajst-15577	112	26	the	the	DET
ajst-15577	112	27	classification	classification	NOUN
ajst-15577	112	28	and	and	CCONJ
ajst-15577	112	29	recognition	recognition	NOUN
ajst-15577	112	30	tasks	task	NOUN
ajst-15577	112	31	of	of	ADP
ajst-15577	112	32	water	water	NOUN
ajst-15577	112	33	pump	pump	NOUN
ajst-15577	112	34	sound	sound	VERB
ajst-15577	112	35	signals.the	signals.the	DET
ajst-15577	112	36	first	first	ADJ
ajst-15577	112	37	-	-	PUNCT
ajst-15577	112	38	order	order	NOUN
ajst-15577	112	39	difference	difference	NOUN
ajst-15577	112	40	of	of	ADP
ajst-15577	112	41	the	the	DET
ajst-15577	112	42	mfcc	mfcc	NOUN
ajst-15577	112	43	(	(	PUNCT
ajst-15577	112	44	mfcc	mfcc	NUM
ajst-15577	112	45	)	)	PUNCT
ajst-15577	112	46	is	be	AUX
ajst-15577	112	47	calculated	calculate	VERB
ajst-15577	112	48	as	as	ADP
ajst-15577	112	49	:	:	SYM
ajst-15577	112	50	1	1	NUM
ajst-15577	112	51	2	2	NUM
ajst-15577	112	52	1	1	NUM
ajst-15577	112	53	[	[	PUNCT
ajst-15577	112	54	(	(	PUNCT
ajst-15577	112	55	1	1	NUM
ajst-15577	112	56	)	)	PUNCT
ajst-15577	112	57	(	(	PUNCT
ajst-15577	112	58	1	1	NUM
ajst-15577	112	59	)	)	PUNCT
ajst-15577	112	60	]	]	PUNCT
ajst-15577	113	1	(	(	PUNCT
ajst-15577	113	2	)	)	PUNCT
ajst-15577	113	3	2	2	NUM
ajst-15577	113	4	l	l	NOUN
ajst-15577	113	5	j	j	PROPN
ajst-15577	114	1	j	j	PROPN
ajst-15577	114	2	l	l	PROPN
ajst-15577	114	3	j	j	PROPN
ajst-15577	115	1	l	l	X
ajst-15577	115	2	l	l	X
ajst-15577	115	3	l	l	NOUN
ajst-15577	116	1	c	c	NOUN
ajst-15577	116	2	m	m	VERB
ajst-15577	116	3	c	c	NOUN
ajst-15577	116	4	m	m	NOUN
ajst-15577	116	5	c	c	NOUN
ajst-15577	116	6	m	m	NOUN
ajst-15577	116	7	l	l	NOUN
ajst-15577	116	8			NUM
ajst-15577	116	9			ADJ
ajst-15577	116	10			ADJ
ajst-15577	116	11			PROPN
ajst-15577	116	12			PROPN
ajst-15577	116	13			NOUN
ajst-15577	116	14			NUM
ajst-15577	116	15			X
ajst-15577	116	16			X
ajst-15577	116	17	(	(	PUNCT
ajst-15577	116	18	8)	8)	NUM
ajst-15577	116	19	where	where	SCONJ
ajst-15577	116	20	l	l	NOUN
ajst-15577	116	21	is	be	AUX
ajst-15577	116	22	the	the	DET
ajst-15577	116	23	range	range	NOUN
ajst-15577	116	24	of	of	ADP
ajst-15577	116	25	frames	frame	NOUN
ajst-15577	116	26	for	for	ADP
ajst-15577	116	27	differential	differential	ADJ
ajst-15577	116	28	computation	computation	NOUN
ajst-15577	116	29	,	,	PUNCT
ajst-15577	116	30	and	and	CCONJ
ajst-15577	116	31	here	here	ADV
ajst-15577	116	32	l	l	NOUN
ajst-15577	116	33	is	be	AUX
ajst-15577	116	34	set	set	VERB
ajst-15577	116	35	to	to	ADP
ajst-15577	116	36	3	3	NUM
ajst-15577	116	37	.	.	PUNCT
ajst-15577	117	1	in	in	ADP
ajst-15577	117	2	contrast	contrast	NOUN
ajst-15577	117	3	to	to	ADP
ajst-15577	117	4	normal	normal	ADJ
ajst-15577	117	5	differential	differential	NOUN
ajst-15577	117	6	computation	computation	NOUN
ajst-15577	117	7	using	use	VERB
ajst-15577	117	8	two	two	NUM
ajst-15577	117	9	adjacent	adjacent	ADJ
ajst-15577	117	10	frames	frame	NOUN
ajst-15577	117	11	,	,	PUNCT
ajst-15577	117	12	here	here	ADV
ajst-15577	117	13	more	more	ADV
ajst-15577	117	14	front	front	ADJ
ajst-15577	117	15	and	and	CCONJ
ajst-15577	117	16	back	back	NOUN
ajst-15577	117	17	frames	frame	NOUN
ajst-15577	117	18	are	be	AUX
ajst-15577	117	19	used	use	VERB
ajst-15577	117	20	to	to	PART
ajst-15577	117	21	compute	compute	VERB
ajst-15577	117	22	the	the	DET
ajst-15577	117	23	mfcc	mfcc	NUM
ajst-15577	117	24	to	to	PART
ajst-15577	117	25	minimize	minimize	VERB
ajst-15577	117	26	the	the	DET
ajst-15577	117	27	interference	interference	NOUN
ajst-15577	117	28	due	due	ADP
ajst-15577	117	29	to	to	ADP
ajst-15577	117	30	noise	noise	NOUN
ajst-15577	117	31	and	and	CCONJ
ajst-15577	117	32	perturbation	perturbation	NOUN
ajst-15577	117	33	.	.	PUNCT
ajst-15577	118	1	further	further	ADJ
ajst-15577	118	2	calculation	calculation	NOUN
ajst-15577	118	3	yields	yield	VERB
ajst-15577	118	4	the	the	DET
ajst-15577	118	5	second	second	ADJ
ajst-15577	118	6	order	order	NOUN
ajst-15577	118	7	difference	difference	NOUN
ajst-15577	118	8	of	of	ADP
ajst-15577	118	9	mfcc	mfcc	NOUN
ajst-15577	118	10	(	(	PUNCT
ajst-15577	118	11	mfcc	mfcc	PROPN
ajst-15577	118	12	)	)	PUNCT
ajst-15577	118	13	as	as	ADP
ajst-15577	118	14	:	:	SYM
ajst-15577	118	15	1	1	NUM
ajst-15577	118	16	2	2	NUM
ajst-15577	118	17	1	1	NUM
ajst-15577	118	18	[	[	PUNCT
ajst-15577	118	19	(	(	PUNCT
ajst-15577	118	20	1	1	NUM
ajst-15577	118	21	)	)	PUNCT
ajst-15577	118	22	(	(	PUNCT
ajst-15577	118	23	1	1	NUM
ajst-15577	118	24	)	)	PUNCT
ajst-15577	118	25	]	]	PUNCT
ajst-15577	119	1	(	(	PUNCT
ajst-15577	119	2	)	)	PUNCT
ajst-15577	119	3	2	2	NUM
ajst-15577	119	4	l	l	NOUN
ajst-15577	119	5	j	j	PROPN
ajst-15577	120	1	j	j	PROPN
ajst-15577	120	2	l	l	PROPN
ajst-15577	120	3	j	j	PROPN
ajst-15577	120	4	l	l	NOUN
ajst-15577	120	5	l	l	NOUN
ajst-15577	121	1	c	c	NOUN
ajst-15577	121	2	m	m	VERB
ajst-15577	121	3	c	c	NOUN
ajst-15577	121	4	m	m	NOUN
ajst-15577	121	5	c	c	NOUN
ajst-15577	121	6	m	m	NOUN
ajst-15577	121	7	l	l	NOUN
ajst-15577	121	8			NOUN
ajst-15577	121	9			ADJ
ajst-15577	121	10			NOUN
ajst-15577	121	11			ADV
ajst-15577	121	12			PROPN
ajst-15577	121	13			PUNCT
ajst-15577	121	14			VERB
ajst-15577	121	15			ADV
ajst-15577	121	16			NUM
ajst-15577	121	17			X
ajst-15577	121	18			X
ajst-15577	121	19	(	(	PUNCT
ajst-15577	121	20	9	9	X
ajst-15577	121	21	)	)	PUNCT
ajst-15577	121	22	the	the	DET
ajst-15577	121	23	obtained	obtain	VERB
ajst-15577	121	24	mfcc	mfcc	NOUN
ajst-15577	121	25	,	,	PUNCT
ajst-15577	121	26	mfcc	mfcc	NUM
ajst-15577	121	27	and	and	CCONJ
ajst-15577	121	28	mfcc	mfcc	PROPN
ajst-15577	121	29	will	will	AUX
ajst-15577	121	30	be	be	AUX
ajst-15577	121	31	used	use	VERB
ajst-15577	121	32	as	as	ADP
ajst-15577	121	33	inputs	input	NOUN
ajst-15577	121	34	to	to	ADP
ajst-15577	121	35	the	the	DET
ajst-15577	121	36	mlcnn	mlcnn	PROPN
ajst-15577	121	37	model	model	PROPN
ajst-15577	121	38	to	to	PART
ajst-15577	121	39	realize	realize	VERB
ajst-15577	121	40	the	the	DET
ajst-15577	121	41	classification	classification	NOUN
ajst-15577	121	42	and	and	CCONJ
ajst-15577	121	43	detection	detection	NOUN
ajst-15577	121	44	of	of	ADP
ajst-15577	121	45	the	the	DET
ajst-15577	121	46	pump	pump	NOUN
ajst-15577	121	47	sound	sound	NOUN
ajst-15577	121	48	signal	signal	NOUN
ajst-15577	121	49	.	.	PUNCT
ajst-15577	122	1	2.3	2.3	NUM
ajst-15577	122	2	.	.	PUNCT
ajst-15577	122	3	migration	migration	NOUN
ajst-15577	122	4	learning	learn	VERB
ajst-15577	122	5	convolutional	convolutional	ADJ
ajst-15577	122	6	neural	neural	ADJ
ajst-15577	122	7	network	network	NOUN
ajst-15577	122	8	models	model	NOUN
ajst-15577	122	9	due	due	ADP
ajst-15577	122	10	to	to	ADP
ajst-15577	122	11	the	the	DET
ajst-15577	122	12	relatively	relatively	ADV
ajst-15577	122	13	small	small	ADJ
ajst-15577	122	14	amount	amount	NOUN
ajst-15577	122	15	of	of	ADP
ajst-15577	122	16	water	water	NOUN
ajst-15577	122	17	pump	pump	NOUN
ajst-15577	122	18	fault	fault	NOUN
ajst-15577	122	19	sample	sample	NOUN
ajst-15577	122	20	data	datum	NOUN
ajst-15577	122	21	,	,	PUNCT
ajst-15577	122	22	based	base	VERB
ajst-15577	122	23	on	on	ADP
ajst-15577	122	24	the	the	DET
ajst-15577	122	25	idea	idea	NOUN
ajst-15577	122	26	of	of	ADP
ajst-15577	122	27	transfer	transfer	NOUN
ajst-15577	122	28	learning	learning	NOUN
ajst-15577	122	29	,	,	PUNCT
ajst-15577	122	30	resnet18	resnet18	NOUN
ajst-15577	122	31	in	in	ADP
ajst-15577	122	32	deep	deep	ADJ
ajst-15577	122	33	residual	residual	ADJ
ajst-15577	122	34	network	network	NOUN
ajst-15577	122	35	(	(	PUNCT
ajst-15577	122	36	resnet	resnet	NOUN
ajst-15577	122	37	)	)	PUNCT
ajst-15577	122	38	is	be	AUX
ajst-15577	122	39	used	use	VERB
ajst-15577	122	40	as	as	ADP
ajst-15577	122	41	the	the	DET
ajst-15577	122	42	benchmark	benchmark	NOUN
ajst-15577	122	43	model	model	NOUN
ajst-15577	122	44	.	.	PUNCT
ajst-15577	123	1	firstly	firstly	ADV
ajst-15577	123	2	,	,	PUNCT
ajst-15577	123	3	pre	pre	ADJ
ajst-15577	123	4	-	-	NOUN
ajst-15577	123	5	training	training	NOUN
ajst-15577	123	6	is	be	AUX
ajst-15577	123	7	performed	perform	VERB
ajst-15577	123	8	on	on	ADP
ajst-15577	123	9	the	the	DET
ajst-15577	123	10	imagenet	imagenet	NOUN
ajst-15577	123	11	dataset	dataset	NOUN
ajst-15577	123	12	,	,	PUNCT
ajst-15577	123	13	and	and	CCONJ
ajst-15577	123	14	the	the	DET
ajst-15577	123	15	generalized	generalized	ADJ
ajst-15577	123	16	features	feature	NOUN
ajst-15577	123	17	of	of	ADP
ajst-15577	123	18	the	the	DET
ajst-15577	123	19	model	model	NOUN
ajst-15577	123	20	trained	train	VERB
ajst-15577	123	21	on	on	ADP
ajst-15577	123	22	imagenet	imagenet	NOUN
ajst-15577	123	23	are	be	AUX
ajst-15577	123	24	migrated	migrate	VERB
ajst-15577	123	25	to	to	ADP
ajst-15577	123	26	the	the	DET
ajst-15577	123	27	mimii	mimii	NOUN
ajst-15577	123	28	-	-	PUNCT
ajst-15577	123	29	resnet	resnet	NOUN
ajst-15577	123	30	model	model	NOUN
ajst-15577	123	31	for	for	ADP
ajst-15577	123	32	the	the	DET
ajst-15577	123	33	pump	pump	NOUN
ajst-15577	123	34	fault	fault	NOUN
ajst-15577	123	35	diagnosis	diagnosis	NOUN
ajst-15577	123	36	task	task	NOUN
ajst-15577	123	37	.	.	PUNCT
ajst-15577	124	1	using	use	VERB
ajst-15577	124	2	the	the	DET
ajst-15577	124	3	training	training	NOUN
ajst-15577	124	4	data	datum	NOUN
ajst-15577	124	5	in	in	ADP
ajst-15577	124	6	the	the	DET
ajst-15577	124	7	mimii	mimii	NOUN
ajst-15577	124	8	dataset	dataset	VERB
ajst-15577	124	9	to	to	PART
ajst-15577	124	10	train	train	VERB
ajst-15577	124	11	again	again	ADV
ajst-15577	124	12	,	,	PUNCT
ajst-15577	124	13	the	the	DET
ajst-15577	124	14	generalized	generalized	ADJ
ajst-15577	124	15	features	feature	NOUN
ajst-15577	124	16	of	of	ADP
ajst-15577	124	17	the	the	DET
ajst-15577	124	18	mimii	mimii	NOUN
ajst-15577	124	19	-	-	PUNCT
ajst-15577	124	20	resnet	resnet	NOUN
ajst-15577	124	21	model	model	NOUN
ajst-15577	124	22	trained	train	VERB
ajst-15577	124	23	on	on	ADP
ajst-15577	124	24	the	the	DET
ajst-15577	124	25	mimii	mimii	NOUN
ajst-15577	124	26	dataset	dataset	VERB
ajst-15577	124	27	are	be	AUX
ajst-15577	124	28	migrated	migrate	VERB
ajst-15577	124	29	to	to	ADP
ajst-15577	124	30	the	the	DET
ajst-15577	124	31	mlcnn	mlcnn	PROPN
ajst-15577	124	32	model	model	NOUN
ajst-15577	124	33	for	for	ADP
ajst-15577	124	34	the	the	DET
ajst-15577	124	35	water	water	NOUN
ajst-15577	124	36	pump	pump	NOUN
ajst-15577	124	37	fault	fault	NOUN
ajst-15577	124	38	diagnosis	diagnosis	NOUN
ajst-15577	124	39	task	task	NOUN
ajst-15577	124	40	.	.	PUNCT
ajst-15577	125	1	the	the	DET
ajst-15577	125	2	mlcnn	mlcnn	PROPN
ajst-15577	125	3	was	be	AUX
ajst-15577	125	4	trained	train	VERB
ajst-15577	125	5	with	with	ADP
ajst-15577	125	6	the	the	DET
ajst-15577	125	7	mfcc	mfcc	NOUN
ajst-15577	125	8	features	feature	NOUN
ajst-15577	125	9	of	of	ADP
ajst-15577	125	10	the	the	DET
ajst-15577	125	11	water	water	NOUN
ajst-15577	125	12	pump	pump	NOUN
ajst-15577	125	13	sound	sound	NOUN
ajst-15577	125	14	signals	signal	NOUN
ajst-15577	125	15	,	,	PUNCT
ajst-15577	125	16	and	and	CCONJ
ajst-15577	125	17	the	the	DET
ajst-15577	125	18	trained	train	VERB
ajst-15577	125	19	mlcnn	mlcnn	PROPN
ajst-15577	125	20	model	model	PROPN
ajst-15577	125	21	was	be	AUX
ajst-15577	125	22	used	use	VERB
ajst-15577	125	23	as	as	ADP
ajst-15577	125	24	a	a	DET
ajst-15577	125	25	classifier	classifier	NOUN
ajst-15577	125	26	and	and	CCONJ
ajst-15577	125	27	the	the	DET
ajst-15577	125	28	model	model	NOUN
ajst-15577	125	29	was	be	AUX
ajst-15577	125	30	tested	test	VERB
ajst-15577	125	31	with	with	ADP
ajst-15577	125	32	the	the	DET
ajst-15577	125	33	test	test	NOUN
ajst-15577	125	34	data	datum	NOUN
ajst-15577	125	35	.	.	PUNCT
ajst-15577	126	1	he	he	PRON
ajst-15577	126	2	et	et	PROPN
ajst-15577	126	3	al	al	PROPN
ajst-15577	127	1	[	[	X
ajst-15577	127	2	12	12	NUM
ajst-15577	127	3	]	]	PUNCT
ajst-15577	127	4	proposed	propose	VERB
ajst-15577	127	5	residual	residual	ADJ
ajst-15577	127	6	neural	neural	ADJ
ajst-15577	127	7	network	network	NOUN
ajst-15577	127	8	(	(	PUNCT
ajst-15577	127	9	resnet	resnet	NOUN
ajst-15577	127	10	)	)	PUNCT
ajst-15577	127	11	,	,	PUNCT
ajst-15577	127	12	compared	compare	VERB
ajst-15577	127	13	with	with	ADP
ajst-15577	127	14	the	the	DET
ajst-15577	127	15	convolutional	convolutional	ADJ
ajst-15577	127	16	neural	neural	ADJ
ajst-15577	127	17	network	network	NOUN
ajst-15577	127	18	structure	structure	NOUN
ajst-15577	127	19	of	of	ADP
ajst-15577	127	20	szegedy	szegedy	NOUN
ajst-15577	127	21	et	et	PROPN
ajst-15577	127	22	al	al	PROPN
ajst-15577	128	1	[	[	X
ajst-15577	128	2	13	13	NUM
ajst-15577	128	3	]	]	PUNCT
ajst-15577	128	4	,	,	PUNCT
ajst-15577	128	5	resnet	resnet	NOUN
ajst-15577	128	6	can	can	AUX
ajst-15577	128	7	overcome	overcome	VERB
ajst-15577	128	8	the	the	DET
ajst-15577	128	9	problems	problem	NOUN
ajst-15577	128	10	of	of	ADP
ajst-15577	128	11	gradient	gradient	ADJ
ajst-15577	128	12	disappearance	disappearance	NOUN
ajst-15577	128	13	and	and	CCONJ
ajst-15577	128	14	overfitting	overfitting	NOUN
ajst-15577	128	15	due	due	ADP
ajst-15577	128	16	to	to	ADP
ajst-15577	128	17	the	the	DET
ajst-15577	128	18	increase	increase	NOUN
ajst-15577	128	19	in	in	ADP
ajst-15577	128	20	the	the	DET
ajst-15577	128	21	number	number	NOUN
ajst-15577	128	22	of	of	ADP
ajst-15577	128	23	layers	layer	NOUN
ajst-15577	128	24	of	of	ADP
ajst-15577	128	25	the	the	DET
ajst-15577	128	26	model	model	NOUN
ajst-15577	128	27	network	network	NOUN
ajst-15577	128	28	,	,	PUNCT
ajst-15577	128	29	and	and	CCONJ
ajst-15577	128	30	accelerate	accelerate	VERB
ajst-15577	128	31	the	the	DET
ajst-15577	128	32	training	training	NOUN
ajst-15577	128	33	of	of	ADP
ajst-15577	128	34	the	the	DET
ajst-15577	128	35	neural	neural	ADJ
ajst-15577	128	36	network	network	NOUN
ajst-15577	128	37	.	.	PUNCT
ajst-15577	129	1	the	the	DET
ajst-15577	129	2	problem	problem	NOUN
ajst-15577	129	3	of	of	ADP
ajst-15577	129	4	gradient	gradient	ADJ
ajst-15577	129	5	disappearance	disappearance	NOUN
ajst-15577	129	6	and	and	CCONJ
ajst-15577	129	7	overfitting	overfitting	NOUN
ajst-15577	129	8	due	due	ADP
ajst-15577	129	9	to	to	ADP
ajst-15577	129	10	the	the	DET
ajst-15577	129	11	increase	increase	NOUN
ajst-15577	129	12	in	in	ADP
ajst-15577	129	13	the	the	DET
ajst-15577	129	14	number	number	NOUN
ajst-15577	129	15	of	of	ADP
ajst-15577	129	16	layers	layer	NOUN
ajst-15577	129	17	of	of	ADP
ajst-15577	129	18	the	the	DET
ajst-15577	129	19	model	model	NOUN
ajst-15577	129	20	network	network	NOUN
ajst-15577	129	21	can	can	AUX
ajst-15577	129	22	be	be	AUX
ajst-15577	129	23	overcome	overcome	VERB
ajst-15577	129	24	to	to	PART
ajst-15577	129	25	accelerate	accelerate	VERB
ajst-15577	129	26	the	the	DET
ajst-15577	129	27	training	training	NOUN
ajst-15577	129	28	of	of	ADP
ajst-15577	129	29	the	the	DET
ajst-15577	129	30	neural	neural	ADJ
ajst-15577	129	31	network	network	NOUN
ajst-15577	129	32	and	and	CCONJ
ajst-15577	129	33	improve	improve	VERB
ajst-15577	129	34	the	the	DET
ajst-15577	129	35	model	model	NOUN
ajst-15577	129	36	accuracy	accuracy	NOUN
ajst-15577	129	37	.	.	PUNCT
ajst-15577	130	1	therefore	therefore	ADV
ajst-15577	130	2	,	,	PUNCT
ajst-15577	130	3	in	in	ADP
ajst-15577	130	4	this	this	DET
ajst-15577	130	5	paper	paper	NOUN
ajst-15577	130	6	,	,	PUNCT
ajst-15577	130	7	we	we	PRON
ajst-15577	130	8	use	use	VERB
ajst-15577	130	9	resnet-18	resnet-18	NOUN
ajst-15577	130	10	network	network	NOUN
ajst-15577	130	11	as	as	ADP
ajst-15577	130	12	the	the	DET
ajst-15577	130	13	benchmark	benchmark	NOUN
ajst-15577	130	14	model	model	NOUN
ajst-15577	130	15	of	of	ADP
ajst-15577	130	16	mlcnn	mlcnn	PROPN
ajst-15577	130	17	(	(	PUNCT
ajst-15577	130	18	migration	migration	NOUN
ajst-15577	130	19	learning	learn	VERB
ajst-15577	130	20	convolutional	convolutional	ADJ
ajst-15577	130	21	neural	neural	ADJ
ajst-15577	130	22	network	network	NOUN
ajst-15577	130	23	)	)	PUNCT
ajst-15577	130	24	,	,	PUNCT
ajst-15577	130	25	and	and	CCONJ
ajst-15577	130	26	the	the	DET
ajst-15577	130	27	basic	basic	ADJ
ajst-15577	130	28	structure	structure	NOUN
ajst-15577	130	29	of	of	ADP
ajst-15577	130	30	resnet	resnet	ADJ
ajst-15577	130	31	residual	residual	ADJ
ajst-15577	130	32	learning	learning	NOUN
ajst-15577	130	33	unit	unit	NOUN
ajst-15577	130	34	is	be	AUX
ajst-15577	130	35	shown	show	VERB
ajst-15577	130	36	in	in	ADP
ajst-15577	130	37	fig.3	fig.3	PROPN
ajst-15577	130	38	.	.	PUNCT
ajst-15577	130	39	weighting	weight	VERB
ajst-15577	130	40	layer	layer	NOUN
ajst-15577	130	41	weighting	weight	VERB
ajst-15577	130	42	layer	layer	NOUN
ajst-15577	130	43	relu	relu	NOUN
ajst-15577	130	44	relu	relu	NOUN
ajst-15577	130	45	f(x)+x	f(x)+x	NOUN
ajst-15577	130	46	f（x	f（x	NOUN
ajst-15577	130	47	）	）	PUNCT
ajst-15577	130	48	x	x	SYM
ajst-15577	131	1	x	x	PUNCT
ajst-15577	131	2	figure	figure	NOUN
ajst-15577	131	3	3	3	NUM
ajst-15577	131	4	.	.	NOUN
ajst-15577	131	5	resnet	resnet	ADJ
ajst-15577	131	6	residual	residual	ADJ
ajst-15577	131	7	cell	cell	NOUN
ajst-15577	131	8	structure	structure	NOUN
ajst-15577	131	9	the	the	DET
ajst-15577	131	10	resnet	resnet	NOUN
ajst-15577	131	11	model	model	NOUN
ajst-15577	131	12	unit	unit	NOUN
ajst-15577	131	13	consists	consist	VERB
ajst-15577	131	14	of	of	ADP
ajst-15577	131	15	two	two	NUM
ajst-15577	131	16	basic	basic	ADJ
ajst-15577	131	17	blocks	block	NOUN
ajst-15577	131	18	,	,	PUNCT
ajst-15577	131	19	the	the	DET
ajst-15577	131	20	conv	conv	ADJ
ajst-15577	131	21	block	block	NOUN
ajst-15577	131	22	and	and	CCONJ
ajst-15577	131	23	the	the	DET
ajst-15577	131	24	identity	identity	NOUN
ajst-15577	131	25	block	block	NOUN
ajst-15577	131	26	,	,	PUNCT
ajst-15577	131	27	where	where	SCONJ
ajst-15577	131	28	the	the	DET
ajst-15577	131	29	conv	conv	ADJ
ajst-15577	131	30	block	block	NOUN
ajst-15577	131	31	changes	change	VERB
ajst-15577	131	32	the	the	DET
ajst-15577	131	33	network	network	NOUN
ajst-15577	131	34	dimension	dimension	NOUN
ajst-15577	131	35	and	and	CCONJ
ajst-15577	131	36	the	the	DET
ajst-15577	131	37	identity	identity	NOUN
ajst-15577	131	38	block	block	NOUN
ajst-15577	131	39	deepens	deepen	VERB
ajst-15577	131	40	the	the	DET
ajst-15577	131	41	network	network	NOUN
ajst-15577	131	42	depth	depth	NOUN
ajst-15577	131	43	,	,	PUNCT
ajst-15577	131	44	and	and	CCONJ
ajst-15577	131	45	its	its	PRON
ajst-15577	131	46	basic	basic	ADJ
ajst-15577	131	47	block	block	NOUN
ajst-15577	131	48	structure	structure	NOUN
ajst-15577	131	49	is	be	AUX
ajst-15577	131	50	shown	show	VERB
ajst-15577	131	51	in	in	ADP
ajst-15577	131	52	figure	figure	NOUN
ajst-15577	131	53	4	4	NUM
ajst-15577	131	54	.	.	PUNCT
ajst-15577	131	55	conv+bn	conv+bn	X
ajst-15577	132	1	conv+bn	conv+bn	X
ajst-15577	133	1	relu	relu	NOUN
ajst-15577	133	2	relu	relu	PROPN
ajst-15577	133	3	f(x)+h（x	f(x)+h（x	NOUN
ajst-15577	133	4	）	）	PUNCT
ajst-15577	133	5	f（x	f（x	X
ajst-15577	133	6	）	）	PUNCT
ajst-15577	133	7	x	x	X
ajst-15577	134	1	h（x	h（x	PROPN
ajst-15577	134	2	）	）	PROPN
ajst-15577	134	3	conv+bn	conv+bn	X
ajst-15577	134	4	conv+bn	conv+bn	PROPN
ajst-15577	134	5	relu	relu	PROPN
ajst-15577	134	6	conv+bn	conv+bn	X
ajst-15577	134	7	conv+bn	conv+bn	X
ajst-15577	134	8	relu	relu	NOUN
ajst-15577	134	9	relu	relu	NOUN
ajst-15577	134	10	f(x)+x	f(x)+x	NOUN
ajst-15577	134	11	f（x	f（x	NOUN
ajst-15577	134	12	）	）	NOUN
ajst-15577	134	13	x	x	SYM
ajst-15577	134	14	x	x	X
ajst-15577	134	15	conv+bn	conv+bn	X
ajst-15577	134	16	relu	relu	NOUN
ajst-15577	134	17	(	(	PUNCT
ajst-15577	134	18	a	a	X
ajst-15577	134	19	)	)	PUNCT
ajst-15577	134	20	conv	conv	ADJ
ajst-15577	134	21	block	block	NOUN
ajst-15577	134	22	structure	structure	NOUN
ajst-15577	134	23	(	(	PUNCT
ajst-15577	134	24	b	b	NOUN
ajst-15577	134	25	)	)	PUNCT
ajst-15577	134	26	identity	identity	NOUN
ajst-15577	134	27	block	block	NOUN
ajst-15577	134	28	structure	structure	NOUN
ajst-15577	134	29	figure	figure	NOUN
ajst-15577	134	30	4	4	NUM
ajst-15577	134	31	.	.	PUNCT
ajst-15577	134	32	two	two	NUM
ajst-15577	134	33	basic	basic	ADJ
ajst-15577	134	34	modules	module	NOUN
ajst-15577	134	35	of	of	ADP
ajst-15577	134	36	resnet	resnet	NOUN
ajst-15577	134	37	resnet	resnet	NOUN
ajst-15577	134	38	consists	consist	NOUN
ajst-15577	134	39	of	of	ADP
ajst-15577	134	40	a	a	DET
ajst-15577	134	41	stack	stack	NOUN
ajst-15577	134	42	of	of	ADP
ajst-15577	134	43	multiple	multiple	ADJ
ajst-15577	134	44	residual	residual	ADJ
ajst-15577	134	45	units	unit	NOUN
ajst-15577	134	46	,	,	PUNCT
ajst-15577	134	47	and	and	CCONJ
ajst-15577	134	48	the	the	DET
ajst-15577	134	49	mathematical	mathematical	ADJ
ajst-15577	134	50	expression	expression	NOUN
ajst-15577	134	51	for	for	ADP
ajst-15577	134	52	each	each	DET
ajst-15577	134	53	residual	residual	ADJ
ajst-15577	134	54	unit	unit	NOUN
ajst-15577	134	55	can	can	AUX
ajst-15577	134	56	be	be	AUX
ajst-15577	134	57	written	write	VERB
ajst-15577	134	58	as	as	ADP
ajst-15577	134	59	(	(	PUNCT
ajst-15577	134	60	)	)	PUNCT
ajst-15577	134	61	(	(	PUNCT
ajst-15577	134	62	)	)	PUNCT
ajst-15577	134	63	i	i	PRON
ajst-15577	135	1	i	i	PRON
ajst-15577	135	2	i	i	PRON
ajst-15577	136	1	iy	iy	INTJ
ajst-15577	136	2	h	h	NOUN
ajst-15577	137	1	x	x	X
ajst-15577	137	2	f	f	NOUN
ajst-15577	137	3	x	x	X
ajst-15577	137	4	w	w	VERB
ajst-15577	137	5			ADV
ajst-15577	137	6			X
ajst-15577	137	7	(	(	PUNCT
ajst-15577	137	8	10	10	NUM
ajst-15577	137	9	)	)	SYM
ajst-15577	137	10	1	1	NUM
ajst-15577	137	11	(	(	PUNCT
ajst-15577	137	12	)	)	PUNCT
ajst-15577	138	1	i	i	PRON
ajst-15577	138	2	ix	ix	ADP
ajst-15577	139	1	f	f	PROPN
ajst-15577	139	2	y	y	PROPN
ajst-15577	139	3			PROPN
ajst-15577	140	1	(	(	PUNCT
ajst-15577	140	2	11	11	NUM
ajst-15577	140	3	)	)	PUNCT
ajst-15577	140	4	where	where	SCONJ
ajst-15577	140	5	:	:	PUNCT
ajst-15577	140	6	(	(	PUNCT
ajst-15577	140	7	)	)	PUNCT
ajst-15577	140	8	f	f	PROPN
ajst-15577	140	9			PROPN
ajst-15577	140	10	is	be	AUX
ajst-15577	140	11	the	the	DET
ajst-15577	140	12	residual	residual	ADJ
ajst-15577	140	13	function	function	NOUN
ajst-15577	140	14	;	;	PUNCT
ajst-15577	140	15	(	(	PUNCT
ajst-15577	140	16	)	)	PUNCT
ajst-15577	140	17	f	f	PROPN
ajst-15577	140	18			PROPN
ajst-15577	140	19	is	be	AUX
ajst-15577	140	20	the	the	DET
ajst-15577	140	21	activation	activation	NOUN
ajst-15577	140	22	function	function	NOUN
ajst-15577	140	23	;	;	PUNCT
ajst-15577	140	24	ix	ix	PROPN
ajst-15577	140	25	and	and	CCONJ
ajst-15577	140	26	iy	iy	PROPN
ajst-15577	140	27	are	be	AUX
ajst-15577	140	28	the	the	DET
ajst-15577	140	29	inputs	input	NOUN
ajst-15577	140	30	and	and	CCONJ
ajst-15577	140	31	outputs	output	NOUN
ajst-15577	140	32	of	of	ADP
ajst-15577	140	33	the	the	DET
ajst-15577	140	34	ith	ith	PROPN
ajst-15577	140	35	residual	residual	ADJ
ajst-15577	140	36	unit	unit	NOUN
ajst-15577	140	37	,	,	PUNCT
ajst-15577	140	38	respectively	respectively	ADV
ajst-15577	140	39	;	;	PUNCT
ajst-15577	140	40	iw	iw	X
ajst-15577	140	41	is	be	AUX
ajst-15577	140	42	the	the	DET
ajst-15577	140	43	weight	weight	NOUN
ajst-15577	140	44	matrix	matrix	NOUN
ajst-15577	140	45	;	;	PUNCT
ajst-15577	140	46	(	(	PUNCT
ajst-15577	140	47	)	)	PUNCT
ajst-15577	140	48	i	i	PRON
ajst-15577	140	49	ih	ih	VERB
ajst-15577	141	1	x	x	X
ajst-15577	141	2	x	x	PROPN
ajst-15577	141	3	is	be	AUX
ajst-15577	141	4	the	the	DET
ajst-15577	141	5	constant	constant	ADJ
ajst-15577	141	6	mapping	mapping	NOUN
ajst-15577	141	7	.	.	PUNCT
ajst-15577	142	1	resnet-18	resnet-18	PROPN
ajst-15577	142	2	is	be	AUX
ajst-15577	142	3	used	use	VERB
ajst-15577	142	4	as	as	ADP
ajst-15577	142	5	the	the	DET
ajst-15577	142	6	baseline	baseline	NOUN
ajst-15577	142	7	model	model	NOUN
ajst-15577	142	8	for	for	ADP
ajst-15577	142	9	migration	migration	NOUN
ajst-15577	142	10	learning	learn	VERB
ajst-15577	142	11	convolutional	convolutional	ADJ
ajst-15577	142	12	neural	neural	ADJ
ajst-15577	142	13	network	network	NOUN
ajst-15577	142	14	for	for	ADP
ajst-15577	142	15	migration	migration	NOUN
ajst-15577	142	16	training	training	NOUN
ajst-15577	142	17	to	to	PART
ajst-15577	142	18	obtain	obtain	VERB
ajst-15577	142	19	the	the	DET
ajst-15577	142	20	mlcnn	mlcnn	PROPN
ajst-15577	142	21	model	model	NOUN
ajst-15577	142	22	,	,	PUNCT
ajst-15577	142	23	and	and	CCONJ
ajst-15577	142	24	its	its	PRON
ajst-15577	142	25	training	training	NOUN
ajst-15577	142	26	process	process	NOUN
ajst-15577	142	27	is	be	AUX
ajst-15577	142	28	shown	show	VERB
ajst-15577	142	29	in	in	ADP
ajst-15577	142	30	fig.5	fig.5	PROPN
ajst-15577	142	31	.	.	PUNCT
ajst-15577	143	1	94	94	NUM
ajst-15577	143	2	first	first	ADJ
ajst-15577	143	3	 	 	SPACE
ajst-15577	143	4	layer	layer	NOUN
ajst-15577	143	5	second	second	ADJ
ajst-15577	143	6	 	 	SPACE
ajst-15577	143	7	layer	layer	NOUN
ajst-15577	143	8	n‐th	n‐th	NOUN
ajst-15577	143	9	 	 	SPACE
ajst-15577	143	10	layer	layer	NOUN
ajst-15577	143	11	...	...	PUNCT
ajst-15577	143	12	softmax	softmax	NOUN
ajst-15577	143	13	 	 	SPACE
ajst-15577	143	14	layer	layer	NOUN
ajst-15577	143	15	resnet	resnet	VERB
ajst-15577	143	16	first	first	ADJ
ajst-15577	143	17	 	 	SPACE
ajst-15577	143	18	layer	layer	NOUN
ajst-15577	143	19	second	second	ADJ
ajst-15577	143	20	 	 	SPACE
ajst-15577	143	21	layer	layer	NOUN
ajst-15577	143	22	n‐th	n‐th	NOUN
ajst-15577	143	23	 	 	SPACE
ajst-15577	143	24	layer	layer	NOUN
ajst-15577	143	25	...	...	PUNCT
ajst-15577	144	1	mimii‐resnet	mimii‐resnet	NOUN
ajst-15577	144	2	first	first	ADJ
ajst-15577	144	3	 	 	SPACE
ajst-15577	144	4	layer	layer	NOUN
ajst-15577	144	5	n‐th	n‐th	NOUN
ajst-15577	144	6	 	 	SPACE
ajst-15577	144	7	layer	layer	NOUN
ajst-15577	144	8	mfcc	mfcc	NOUN
ajst-15577	144	9	 	 	SPACE
ajst-15577	144	10	feature	feature	NOUN
ajst-15577	144	11	  	  	SPACE
ajst-15577	144	12	selection	selection	NOUN
ajst-15577	144	13	softmax	softmax	NOUN
ajst-15577	144	14	 	 	SPACE
ajst-15577	144	15	layer	layer	NOUN
ajst-15577	144	16	mfcc‐mlcnn	mfcc‐mlcnn	NOUN
ajst-15577	144	17	gap	gap	NOUN
ajst-15577	144	18	 	 	SPACE
ajst-15577	144	19	layer	layer	NOUN
ajst-15577	144	20	softmax	softmax	NOUN
ajst-15577	144	21	 	 	SPACE
ajst-15577	144	22	layer	layer	NOUN
ajst-15577	144	23	weight	weight	NOUN
ajst-15577	144	24	  	  	SPACE
ajst-15577	144	25	migration	migration	NOUN
ajst-15577	144	26	figure	figure	NOUN
ajst-15577	144	27	5	5	NUM
ajst-15577	144	28	.	.	PUNCT
ajst-15577	145	1	the	the	DET
ajst-15577	145	2	process	process	NOUN
ajst-15577	145	3	of	of	ADP
ajst-15577	145	4	migratory	migratory	NOUN
ajst-15577	145	5	learning	learn	VERB
ajst-15577	145	6	3	3	NUM
ajst-15577	145	7	.	.	PUNCT
ajst-15577	145	8	experiments	experiment	NOUN
ajst-15577	145	9	the	the	DET
ajst-15577	145	10	training	training	NOUN
ajst-15577	145	11	results	result	NOUN
ajst-15577	145	12	are	be	AUX
ajst-15577	145	13	obtained	obtain	VERB
ajst-15577	145	14	after	after	ADP
ajst-15577	145	15	completing	complete	VERB
ajst-15577	145	16	the	the	DET
ajst-15577	145	17	training	training	NOUN
ajst-15577	145	18	of	of	ADP
ajst-15577	145	19	the	the	DET
ajst-15577	145	20	migration	migration	NOUN
ajst-15577	145	21	learning	learn	VERB
ajst-15577	145	22	convolutional	convolutional	ADJ
ajst-15577	145	23	neural	neural	ADJ
ajst-15577	145	24	network	network	NOUN
ajst-15577	145	25	model	model	NOUN
ajst-15577	145	26	under	under	ADP
ajst-15577	145	27	the	the	DET
ajst-15577	145	28	training	training	NOUN
ajst-15577	145	29	samples	sample	NOUN
ajst-15577	145	30	.	.	PUNCT
ajst-15577	146	1	and	and	CCONJ
ajst-15577	146	2	after	after	ADP
ajst-15577	146	3	that	that	PRON
ajst-15577	146	4	,	,	PUNCT
ajst-15577	146	5	the	the	DET
ajst-15577	146	6	data	datum	NOUN
ajst-15577	146	7	from	from	ADP
ajst-15577	146	8	the	the	DET
ajst-15577	146	9	test	test	NOUN
ajst-15577	146	10	set	set	NOUN
ajst-15577	146	11	is	be	AUX
ajst-15577	146	12	used	use	VERB
ajst-15577	146	13	for	for	ADP
ajst-15577	146	14	this	this	DET
ajst-15577	146	15	model	model	NOUN
ajst-15577	146	16	for	for	ADP
ajst-15577	146	17	validation	validation	NOUN
ajst-15577	146	18	.	.	PUNCT
ajst-15577	147	1	and	and	CCONJ
ajst-15577	147	2	the	the	DET
ajst-15577	147	3	model	model	NOUN
ajst-15577	147	4	is	be	AUX
ajst-15577	147	5	compared	compare	VERB
ajst-15577	147	6	and	and	CCONJ
ajst-15577	147	7	analyzed	analyze	VERB
ajst-15577	147	8	with	with	ADP
ajst-15577	147	9	support	support	NOUN
ajst-15577	147	10	vector	vector	NOUN
ajst-15577	147	11	machine	machine	NOUN
ajst-15577	147	12	,	,	PUNCT
ajst-15577	147	13	bp	bp	PROPN
ajst-15577	147	14	neural	neural	ADJ
ajst-15577	147	15	network	network	NOUN
ajst-15577	147	16	and	and	CCONJ
ajst-15577	147	17	one	one	NUM
ajst-15577	147	18	-	-	PUNCT
ajst-15577	147	19	dimensional	dimensional	ADJ
ajst-15577	147	20	convolutional	convolutional	ADJ
ajst-15577	147	21	neural	neural	ADJ
ajst-15577	147	22	network	network	NOUN
ajst-15577	147	23	.	.	PUNCT
ajst-15577	148	1	the	the	DET
ajst-15577	148	2	experimental	experimental	ADJ
ajst-15577	148	3	results	result	NOUN
ajst-15577	148	4	show	show	VERB
ajst-15577	148	5	that	that	SCONJ
ajst-15577	148	6	the	the	DET
ajst-15577	148	7	mfcc	mfcc	NOUN
ajst-15577	148	8	-	-	PUNCT
ajst-15577	148	9	mlcnn	mlcnn	NOUN
ajst-15577	148	10	-	-	PUNCT
ajst-15577	148	11	based	base	VERB
ajst-15577	148	12	pump	pump	NOUN
ajst-15577	148	13	fault	fault	NOUN
ajst-15577	148	14	detection	detection	NOUN
ajst-15577	148	15	model	model	NOUN
ajst-15577	148	16	proposed	propose	VERB
ajst-15577	148	17	in	in	ADP
ajst-15577	148	18	this	this	DET
ajst-15577	148	19	study	study	NOUN
ajst-15577	148	20	is	be	AUX
ajst-15577	148	21	more	more	ADV
ajst-15577	148	22	effective	effective	ADJ
ajst-15577	148	23	.	.	PUNCT
ajst-15577	149	1	3.1	3.1	NUM
ajst-15577	149	2	.	.	PUNCT
ajst-15577	149	3	training	training	NOUN
ajst-15577	149	4	and	and	CCONJ
ajst-15577	149	5	testing	testing	NOUN
ajst-15577	149	6	results	result	VERB
ajst-15577	149	7	the	the	DET
ajst-15577	149	8	model	model	NOUN
ajst-15577	149	9	is	be	AUX
ajst-15577	149	10	trained	train	VERB
ajst-15577	149	11	under	under	ADP
ajst-15577	149	12	the	the	DET
ajst-15577	149	13	adam	adam	PROPN
ajst-15577	149	14	optimizer	optimizer	NOUN
ajst-15577	149	15	,	,	PUNCT
ajst-15577	149	16	and	and	CCONJ
ajst-15577	149	17	the	the	DET
ajst-15577	149	18	obtained	obtain	VERB
ajst-15577	149	19	loss	loss	NOUN
ajst-15577	149	20	values	value	NOUN
ajst-15577	149	21	and	and	CCONJ
ajst-15577	149	22	accuracy	accuracy	NOUN
ajst-15577	149	23	change	change	NOUN
ajst-15577	149	24	curves	curve	NOUN
ajst-15577	149	25	of	of	ADP
ajst-15577	149	26	the	the	DET
ajst-15577	149	27	training	training	NOUN
ajst-15577	149	28	samples	sample	NOUN
ajst-15577	149	29	are	be	AUX
ajst-15577	149	30	shown	show	VERB
ajst-15577	149	31	in	in	ADP
ajst-15577	149	32	figures	figure	NOUN
ajst-15577	149	33	6	6	NUM
ajst-15577	149	34	and	and	CCONJ
ajst-15577	149	35	7	7	NUM
ajst-15577	149	36	.	.	PUNCT
ajst-15577	149	37	by	by	ADP
ajst-15577	149	38	observing	observe	VERB
ajst-15577	149	39	the	the	DET
ajst-15577	149	40	change	change	NOUN
ajst-15577	149	41	of	of	ADP
ajst-15577	149	42	the	the	DET
ajst-15577	149	43	loss	loss	NOUN
ajst-15577	149	44	value	value	NOUN
ajst-15577	149	45	of	of	ADP
ajst-15577	149	46	the	the	DET
ajst-15577	149	47	training	training	NOUN
ajst-15577	149	48	samples	sample	NOUN
ajst-15577	149	49	with	with	ADP
ajst-15577	149	50	epoch	epoch	NOUN
ajst-15577	149	51	,	,	PUNCT
ajst-15577	149	52	it	it	PRON
ajst-15577	149	53	can	can	AUX
ajst-15577	149	54	be	be	AUX
ajst-15577	149	55	seen	see	VERB
ajst-15577	149	56	that	that	SCONJ
ajst-15577	149	57	the	the	DET
ajst-15577	149	58	loss	loss	NOUN
ajst-15577	149	59	curve	curve	NOUN
ajst-15577	149	60	of	of	ADP
ajst-15577	149	61	the	the	DET
ajst-15577	149	62	samples	sample	NOUN
ajst-15577	149	63	tends	tend	VERB
ajst-15577	149	64	to	to	PART
ajst-15577	149	65	be	be	AUX
ajst-15577	149	66	smooth	smooth	ADJ
ajst-15577	149	67	after	after	ADP
ajst-15577	149	68	10	10	NUM
ajst-15577	149	69	single	single	ADJ
ajst-15577	149	70	trainings	training	NOUN
ajst-15577	149	71	,	,	PUNCT
ajst-15577	149	72	which	which	PRON
ajst-15577	149	73	indicates	indicate	VERB
ajst-15577	149	74	that	that	SCONJ
ajst-15577	149	75	the	the	DET
ajst-15577	149	76	model	model	NOUN
ajst-15577	149	77	is	be	AUX
ajst-15577	149	78	further	far	ADV
ajst-15577	149	79	learning	learn	VERB
ajst-15577	149	80	and	and	CCONJ
ajst-15577	149	81	will	will	AUX
ajst-15577	149	82	complete	complete	VERB
ajst-15577	149	83	convergence	convergence	NOUN
ajst-15577	149	84	,	,	PUNCT
ajst-15577	149	85	and	and	CCONJ
ajst-15577	149	86	the	the	DET
ajst-15577	149	87	accuracy	accuracy	NOUN
ajst-15577	149	88	of	of	ADP
ajst-15577	149	89	the	the	DET
ajst-15577	149	90	training	training	NOUN
ajst-15577	149	91	samples	sample	NOUN
ajst-15577	149	92	finally	finally	ADV
ajst-15577	149	93	tends	tend	VERB
ajst-15577	149	94	to	to	PART
ajst-15577	149	95	be	be	AUX
ajst-15577	149	96	close	close	ADJ
ajst-15577	149	97	to	to	PART
ajst-15577	149	98	100	100	NUM
ajst-15577	149	99	%	%	NOUN
ajst-15577	149	100	,	,	PUNCT
ajst-15577	149	101	and	and	CCONJ
ajst-15577	149	102	the	the	DET
ajst-15577	149	103	loss	loss	NOUN
ajst-15577	149	104	value	value	NOUN
ajst-15577	149	105	does	do	AUX
ajst-15577	149	106	not	not	PART
ajst-15577	149	107	change	change	VERB
ajst-15577	149	108	anymore	anymore	ADV
ajst-15577	149	109	,	,	PUNCT
ajst-15577	149	110	and	and	CCONJ
ajst-15577	149	111	the	the	DET
ajst-15577	149	112	training	training	NOUN
ajst-15577	149	113	of	of	ADP
ajst-15577	149	114	the	the	DET
ajst-15577	149	115	model	model	NOUN
ajst-15577	149	116	is	be	AUX
ajst-15577	149	117	completed	complete	VERB
ajst-15577	149	118	.	.	PUNCT
ajst-15577	150	1	figure	figure	NOUN
ajst-15577	150	2	6	6	NUM
ajst-15577	150	3	.	.	PUNCT
ajst-15577	151	1	loss	loss	NOUN
ajst-15577	151	2	variation	variation	NOUN
ajst-15577	151	3	of	of	ADP
ajst-15577	151	4	training	training	NOUN
ajst-15577	151	5	samples	sample	NOUN
ajst-15577	151	6	figure	figure	VERB
ajst-15577	151	7	7	7	NUM
ajst-15577	151	8	.	.	PUNCT
ajst-15577	152	1	variation	variation	NOUN
ajst-15577	152	2	of	of	ADP
ajst-15577	152	3	accuracy	accuracy	NOUN
ajst-15577	152	4	of	of	ADP
ajst-15577	152	5	training	training	NOUN
ajst-15577	152	6	samples	sample	NOUN
ajst-15577	152	7	95	95	NUM
ajst-15577	152	8	fifty	fifty	NUM
ajst-15577	152	9	training	training	NOUN
ajst-15577	152	10	samples	sample	NOUN
ajst-15577	152	11	are	be	AUX
ajst-15577	152	12	randomly	randomly	ADV
ajst-15577	152	13	selected	select	VERB
ajst-15577	152	14	from	from	ADP
ajst-15577	152	15	each	each	PRON
ajst-15577	152	16	of	of	ADP
ajst-15577	152	17	the	the	DET
ajst-15577	152	18	different	different	ADJ
ajst-15577	152	19	numbered	numbered	ADJ
ajst-15577	152	20	pump	pump	NOUN
ajst-15577	152	21	training	training	NOUN
ajst-15577	152	22	set	set	VERB
ajst-15577	152	23	samples	sample	NOUN
ajst-15577	152	24	to	to	PART
ajst-15577	152	25	diagnose	diagnose	VERB
ajst-15577	152	26	the	the	DET
ajst-15577	152	27	water	water	NOUN
ajst-15577	152	28	supply	supply	NOUN
ajst-15577	152	29	pump	pump	NOUN
ajst-15577	152	30	faults	fault	NOUN
ajst-15577	152	31	based	base	VERB
ajst-15577	152	32	on	on	ADP
ajst-15577	152	33	the	the	DET
ajst-15577	152	34	mfcc	mfcc	NOUN
ajst-15577	152	35	-	-	PUNCT
ajst-15577	152	36	mlcnn	mlcnn	PROPN
ajst-15577	152	37	model	model	NOUN
ajst-15577	152	38	,	,	PUNCT
ajst-15577	152	39	and	and	CCONJ
ajst-15577	152	40	the	the	DET
ajst-15577	152	41	confusion	confusion	NOUN
ajst-15577	152	42	matrix	matrix	NOUN
ajst-15577	152	43	for	for	ADP
ajst-15577	152	44	the	the	DET
ajst-15577	152	45	best	good	ADJ
ajst-15577	152	46	classification	classification	NOUN
ajst-15577	152	47	case	case	NOUN
ajst-15577	152	48	obtained	obtain	VERB
ajst-15577	152	49	after	after	SCONJ
ajst-15577	152	50	several	several	ADJ
ajst-15577	152	51	repeated	repeat	VERB
ajst-15577	152	52	trials	trial	NOUN
ajst-15577	152	53	is	be	AUX
ajst-15577	152	54	shown	show	VERB
ajst-15577	152	55	in	in	ADP
ajst-15577	152	56	fig	fig	NOUN
ajst-15577	152	57	.	.	PUNCT
ajst-15577	153	1	8	8	X
ajst-15577	153	2	.	.	PUNCT
ajst-15577	154	1	the	the	DET
ajst-15577	154	2	rows	row	NOUN
ajst-15577	154	3	of	of	ADP
ajst-15577	154	4	the	the	DET
ajst-15577	154	5	confusion	confusion	NOUN
ajst-15577	154	6	matrix	matrix	NOUN
ajst-15577	154	7	in	in	ADP
ajst-15577	154	8	the	the	DET
ajst-15577	154	9	figure	figure	NOUN
ajst-15577	154	10	represent	represent	VERB
ajst-15577	154	11	the	the	DET
ajst-15577	154	12	real	real	ADJ
ajst-15577	154	13	labels	label	NOUN
ajst-15577	154	14	of	of	ADP
ajst-15577	154	15	each	each	DET
ajst-15577	154	16	water	water	NOUN
ajst-15577	154	17	supply	supply	NOUN
ajst-15577	154	18	pump	pump	VERB
ajst-15577	154	19	operating	operate	VERB
ajst-15577	154	20	state	state	NOUN
ajst-15577	154	21	,	,	PUNCT
ajst-15577	154	22	and	and	CCONJ
ajst-15577	154	23	the	the	DET
ajst-15577	154	24	columns	column	NOUN
ajst-15577	154	25	of	of	ADP
ajst-15577	154	26	the	the	DET
ajst-15577	154	27	confusion	confusion	NOUN
ajst-15577	154	28	matrix	matrix	NOUN
ajst-15577	154	29	represent	represent	VERB
ajst-15577	154	30	the	the	DET
ajst-15577	154	31	predicted	predict	VERB
ajst-15577	154	32	labels	label	NOUN
ajst-15577	154	33	of	of	ADP
ajst-15577	154	34	each	each	DET
ajst-15577	154	35	water	water	NOUN
ajst-15577	154	36	supply	supply	NOUN
ajst-15577	154	37	pump	pump	VERB
ajst-15577	154	38	operating	operate	VERB
ajst-15577	154	39	state	state	NOUN
ajst-15577	154	40	.	.	PUNCT
ajst-15577	155	1	as	as	SCONJ
ajst-15577	155	2	can	can	AUX
ajst-15577	155	3	be	be	AUX
ajst-15577	155	4	seen	see	VERB
ajst-15577	155	5	from	from	ADP
ajst-15577	155	6	fig	fig	NOUN
ajst-15577	155	7	.	.	PUNCT
ajst-15577	156	1	8	8	NUM
ajst-15577	156	2	,	,	PUNCT
ajst-15577	156	3	the	the	DET
ajst-15577	156	4	model	model	NOUN
ajst-15577	156	5	achieves	achieve	VERB
ajst-15577	156	6	100	100	NUM
ajst-15577	156	7	%	%	NOUN
ajst-15577	156	8	prediction	prediction	NOUN
ajst-15577	156	9	accuracy	accuracy	NOUN
ajst-15577	156	10	on	on	ADP
ajst-15577	156	11	the	the	DET
ajst-15577	156	12	training	training	NOUN
ajst-15577	156	13	set	set	NOUN
ajst-15577	156	14	for	for	ADP
ajst-15577	156	15	all	all	DET
ajst-15577	156	16	cases	case	NOUN
ajst-15577	156	17	of	of	ADP
ajst-15577	156	18	pump	pump	NOUN
ajst-15577	156	19	state	state	NOUN
ajst-15577	156	20	detection	detection	NOUN
ajst-15577	156	21	.	.	PUNCT
ajst-15577	157	1	from	from	ADP
ajst-15577	157	2	the	the	DET
ajst-15577	157	3	confusion	confusion	NOUN
ajst-15577	157	4	matrix	matrix	NOUN
ajst-15577	157	5	of	of	ADP
ajst-15577	157	6	the	the	DET
ajst-15577	157	7	classification	classification	NOUN
ajst-15577	157	8	results	result	NOUN
ajst-15577	157	9	obtained	obtain	VERB
ajst-15577	157	10	from	from	ADP
ajst-15577	157	11	the	the	DET
ajst-15577	157	12	fault	fault	NOUN
ajst-15577	157	13	diagnosis	diagnosis	NOUN
ajst-15577	157	14	,	,	PUNCT
ajst-15577	157	15	it	it	PRON
ajst-15577	157	16	can	can	AUX
ajst-15577	157	17	be	be	AUX
ajst-15577	157	18	seen	see	VERB
ajst-15577	157	19	that	that	SCONJ
ajst-15577	157	20	there	there	PRON
ajst-15577	157	21	is	be	VERB
ajst-15577	157	22	no	no	DET
ajst-15577	157	23	case	case	NOUN
ajst-15577	157	24	in	in	ADP
ajst-15577	157	25	which	which	PRON
ajst-15577	157	26	the	the	DET
ajst-15577	157	27	fault	fault	NOUN
ajst-15577	157	28	category	category	NOUN
ajst-15577	157	29	is	be	AUX
ajst-15577	157	30	judged	judge	VERB
ajst-15577	157	31	to	to	PART
ajst-15577	157	32	be	be	AUX
ajst-15577	157	33	normal	normal	ADJ
ajst-15577	157	34	,	,	PUNCT
ajst-15577	157	35	which	which	PRON
ajst-15577	157	36	shows	show	VERB
ajst-15577	157	37	the	the	DET
ajst-15577	157	38	good	good	ADJ
ajst-15577	157	39	performance	performance	NOUN
ajst-15577	157	40	of	of	ADP
ajst-15577	157	41	the	the	DET
ajst-15577	157	42	proposed	propose	VERB
ajst-15577	157	43	method	method	NOUN
ajst-15577	157	44	.	.	PUNCT
ajst-15577	158	1	in	in	ADP
ajst-15577	158	2	order	order	NOUN
ajst-15577	158	3	to	to	PART
ajst-15577	158	4	ensure	ensure	VERB
ajst-15577	158	5	the	the	DET
ajst-15577	158	6	accuracy	accuracy	NOUN
ajst-15577	158	7	of	of	ADP
ajst-15577	158	8	the	the	DET
ajst-15577	158	9	test	test	NOUN
ajst-15577	158	10	and	and	CCONJ
ajst-15577	158	11	avoid	avoid	VERB
ajst-15577	158	12	the	the	DET
ajst-15577	158	13	chance	chance	NOUN
ajst-15577	158	14	of	of	ADP
ajst-15577	158	15	the	the	DET
ajst-15577	158	16	results	result	NOUN
ajst-15577	158	17	,	,	PUNCT
ajst-15577	158	18	the	the	DET
ajst-15577	158	19	average	average	NOUN
ajst-15577	158	20	of	of	ADP
ajst-15577	158	21	the	the	DET
ajst-15577	158	22	results	result	NOUN
ajst-15577	158	23	of	of	ADP
ajst-15577	158	24	multiple	multiple	ADJ
ajst-15577	158	25	runs	run	NOUN
ajst-15577	158	26	is	be	AUX
ajst-15577	158	27	taken	take	VERB
ajst-15577	158	28	as	as	ADP
ajst-15577	158	29	the	the	DET
ajst-15577	158	30	final	final	ADJ
ajst-15577	158	31	diagnostic	diagnostic	ADJ
ajst-15577	158	32	accuracy	accuracy	NOUN
ajst-15577	158	33	.	.	PUNCT
ajst-15577	159	1	(	(	PUNCT
ajst-15577	159	2	a)valve	a)valve	NUM
ajst-15577	159	3	number	number	NOUN
ajst-15577	159	4	00	00	PUNCT
ajst-15577	159	5	(	(	PUNCT
ajst-15577	159	6	b	b	NOUN
ajst-15577	159	7	)	)	PUNCT
ajst-15577	159	8	valve	valve	NOUN
ajst-15577	159	9	number	number	NOUN
ajst-15577	159	10	02	02	NUM
ajst-15577	159	11	(	(	PUNCT
ajst-15577	159	12	c	c	NOUN
ajst-15577	159	13	)	)	PUNCT
ajst-15577	159	14	valve	valve	NOUN
ajst-15577	159	15	number	number	NOUN
ajst-15577	159	16	04	04	NUM
ajst-15577	159	17	(	(	PUNCT
ajst-15577	159	18	d	d	NOUN
ajst-15577	159	19	)	)	PUNCT
ajst-15577	159	20	valve	valve	NOUN
ajst-15577	159	21	number	number	NOUN
ajst-15577	159	22	06	06	NUM
ajst-15577	159	23	figure	figure	NOUN
ajst-15577	159	24	8	8	NUM
ajst-15577	159	25	.	.	PUNCT
ajst-15577	160	1	classification	classification	NOUN
ajst-15577	160	2	results	result	NOUN
ajst-15577	160	3	of	of	ADP
ajst-15577	160	4	training	training	NOUN
ajst-15577	160	5	samples	sample	NOUN
ajst-15577	160	6	the	the	DET
ajst-15577	160	7	trained	train	VERB
ajst-15577	160	8	mfcc	mfcc	NOUN
ajst-15577	160	9	-	-	PUNCT
ajst-15577	160	10	mlcnn	mlcnn	PROPN
ajst-15577	160	11	model	model	NOUN
ajst-15577	160	12	is	be	AUX
ajst-15577	160	13	tested	test	VERB
ajst-15577	160	14	for	for	ADP
ajst-15577	160	15	performance	performance	NOUN
ajst-15577	160	16	with	with	ADP
ajst-15577	160	17	test	test	NOUN
ajst-15577	160	18	set	set	VERB
ajst-15577	160	19	data	datum	NOUN
ajst-15577	160	20	.	.	PUNCT
ajst-15577	161	1	table	table	NOUN
ajst-15577	161	2	2	2	NUM
ajst-15577	161	3	lists	list	VERB
ajst-15577	161	4	the	the	DET
ajst-15577	161	5	accuracy	accuracy	NOUN
ajst-15577	161	6	results	result	NOUN
ajst-15577	161	7	of	of	ADP
ajst-15577	161	8	the	the	DET
ajst-15577	161	9	experiments	experiment	NOUN
ajst-15577	161	10	for	for	ADP
ajst-15577	161	11	normal	normal	ADJ
ajst-15577	161	12	audio	audio	ADJ
ajst-15577	161	13	class	class	NOUN
ajst-15577	161	14	and	and	CCONJ
ajst-15577	161	15	abnormal	abnormal	ADJ
ajst-15577	161	16	audio	audio	ADJ
ajst-15577	161	17	class	class	NOUN
ajst-15577	161	18	,	,	PUNCT
ajst-15577	161	19	the	the	DET
ajst-15577	161	20	results	result	NOUN
ajst-15577	161	21	show	show	VERB
ajst-15577	161	22	that	that	SCONJ
ajst-15577	161	23	the	the	DET
ajst-15577	161	24	normal	normal	ADJ
ajst-15577	161	25	audio	audio	NOUN
ajst-15577	161	26	test	test	NOUN
ajst-15577	161	27	set	set	VERB
ajst-15577	161	28	data	datum	NOUN
ajst-15577	161	29	is	be	AUX
ajst-15577	161	30	judged	judge	VERB
ajst-15577	161	31	correctly	correctly	ADV
ajst-15577	161	32	in	in	ADP
ajst-15577	161	33	the	the	DET
ajst-15577	161	34	model	model	NOUN
ajst-15577	161	35	at	at	ADP
ajst-15577	161	36	more	more	ADJ
ajst-15577	161	37	than	than	ADP
ajst-15577	161	38	95	95	NUM
ajst-15577	161	39	%	%	NOUN
ajst-15577	161	40	,	,	PUNCT
ajst-15577	161	41	the	the	DET
ajst-15577	161	42	abnormal	abnormal	ADJ
ajst-15577	161	43	audio	audio	NOUN
ajst-15577	161	44	test	test	NOUN
ajst-15577	161	45	set	set	VERB
ajst-15577	161	46	data	datum	NOUN
ajst-15577	161	47	is	be	AUX
ajst-15577	161	48	judged	judge	VERB
ajst-15577	161	49	correctly	correctly	ADV
ajst-15577	161	50	in	in	ADP
ajst-15577	161	51	the	the	DET
ajst-15577	161	52	model	model	NOUN
ajst-15577	161	53	at	at	ADP
ajst-15577	161	54	more	more	ADJ
ajst-15577	161	55	than	than	ADP
ajst-15577	161	56	96	96	NUM
ajst-15577	161	57	%	%	NOUN
ajst-15577	161	58	,	,	PUNCT
ajst-15577	161	59	and	and	CCONJ
ajst-15577	161	60	the	the	DET
ajst-15577	161	61	total	total	ADJ
ajst-15577	161	62	audio	audio	ADJ
ajst-15577	161	63	test	test	NOUN
ajst-15577	161	64	set	set	VERB
ajst-15577	161	65	data	datum	NOUN
ajst-15577	161	66	of	of	ADP
ajst-15577	161	67	the	the	DET
ajst-15577	161	68	total	total	ADJ
ajst-15577	161	69	12510	12510	NUM
ajst-15577	161	70	audio	audio	NOUN
ajst-15577	161	71	test	test	NOUN
ajst-15577	161	72	set	set	VERB
ajst-15577	161	73	data	datum	NOUN
ajst-15577	161	74	has	have	VERB
ajst-15577	161	75	a	a	DET
ajst-15577	161	76	total	total	ADJ
ajst-15577	161	77	judgment	judgment	NOUN
ajst-15577	161	78	correctness	correctness	NOUN
ajst-15577	161	79	of	of	ADP
ajst-15577	161	80	96.9	96.9	NUM
ajst-15577	161	81	%	%	NOUN
ajst-15577	161	82	in	in	ADP
ajst-15577	161	83	the	the	DET
ajst-15577	161	84	model	model	NOUN
ajst-15577	161	85	.	.	PUNCT
ajst-15577	162	1	where	where	SCONJ
ajst-15577	162	2	the	the	DET
ajst-15577	162	3	test	test	NOUN
ajst-15577	162	4	set	set	VERB
ajst-15577	162	5	audio	audio	ADJ
ajst-15577	162	6	files	file	NOUN
ajst-15577	162	7	have	have	VERB
ajst-15577	162	8	no	no	DET
ajst-15577	162	9	intersection	intersection	NOUN
ajst-15577	162	10	with	with	ADP
ajst-15577	162	11	the	the	DET
ajst-15577	162	12	training	training	NOUN
ajst-15577	162	13	set	set	VERB
ajst-15577	162	14	audio	audio	ADJ
ajst-15577	162	15	files	file	NOUN
ajst-15577	162	16	.	.	PUNCT
ajst-15577	163	1	table	table	NOUN
ajst-15577	163	2	2	2	NUM
ajst-15577	163	3	.	.	PUNCT
ajst-15577	163	4	test	test	NOUN
ajst-15577	163	5	results	result	NOUN
ajst-15577	163	6	test	test	NOUN
ajst-15577	163	7	sample	sample	NOUN
ajst-15577	163	8	number	number	NOUN
ajst-15577	163	9	of	of	ADP
ajst-15577	163	10	tests	test	NOUN
ajst-15577	163	11	number	number	NOUN
ajst-15577	163	12	of	of	ADP
ajst-15577	163	13	correct	correct	ADJ
ajst-15577	163	14	accuracy/%	accuracy/%	ADV
ajst-15577	163	15	00	00	PUNCT
ajst-15577	164	1	(	(	PUNCT
ajst-15577	164	2	normal	normal	ADJ
ajst-15577	164	3	)	)	PUNCT
ajst-15577	164	4	2973	2973	NUM
ajst-15577	164	5	2861	2861	NUM
ajst-15577	164	6	96.2	96.2	NUM
ajst-15577	164	7	00	00	PUNCT
ajst-15577	165	1	(	(	PUNCT
ajst-15577	165	2	abnormal	abnormal	ADJ
ajst-15577	165	3	)	)	PUNCT
ajst-15577	165	4	357	357	NUM
ajst-15577	165	5	340	340	NUM
ajst-15577	165	6	95.2	95.2	NUM
ajst-15577	165	7	02	02	NUM
ajst-15577	165	8	(	(	PUNCT
ajst-15577	165	9	normal	normal	ADJ
ajst-15577	165	10	)	)	PUNCT
ajst-15577	165	11	2124	2124	NUM
ajst-15577	165	12	2057	2057	NUM
ajst-15577	165	13	96.8	96.8	NUM
ajst-15577	165	14	02	02	NUM
ajst-15577	165	15	(	(	PUNCT
ajst-15577	165	16	abnormal	abnormal	ADJ
ajst-15577	165	17	)	)	PUNCT
ajst-15577	165	18	360	360	NUM
ajst-15577	165	19	344	344	NUM
ajst-15577	165	20	95.6	95.6	NUM
ajst-15577	165	21	04	04	NUM
ajst-15577	165	22	(	(	PUNCT
ajst-15577	165	23	normal	normal	ADJ
ajst-15577	165	24	)	)	PUNCT
ajst-15577	165	25	3000	3000	NUM
ajst-15577	165	26	2913	2913	NUM
ajst-15577	165	27	97.1	97.1	NUM
ajst-15577	165	28	04	04	NUM
ajst-15577	166	1	(	(	PUNCT
ajst-15577	166	2	abnormal	abnormal	ADJ
ajst-15577	166	3	)	)	PUNCT
ajst-15577	166	4	360	360	NUM
ajst-15577	166	5	348	348	NUM
ajst-15577	166	6	96.7	96.7	NUM
ajst-15577	166	7	06	06	NUM
ajst-15577	166	8	(	(	PUNCT
ajst-15577	166	9	normal	normal	ADJ
ajst-15577	166	10	)	)	PUNCT
ajst-15577	166	11	2976	2976	NUM
ajst-15577	166	12	2923	2923	NUM
ajst-15577	166	13	98.2	98.2	NUM
ajst-15577	166	14	06	06	NUM
ajst-15577	167	1	(	(	PUNCT
ajst-15577	167	2	abnormal	abnormal	ADJ
ajst-15577	167	3	)	)	PUNCT
ajst-15577	167	4	360	360	NUM
ajst-15577	167	5	343	343	NUM
ajst-15577	167	6	95.3	95.3	NUM
ajst-15577	167	7	total	total	ADJ
ajst-15577	167	8	12510	12510	NUM
ajst-15577	167	9	12129	12129	NUM
ajst-15577	167	10	96.9	96.9	NUM
ajst-15577	167	11	3.2	3.2	NUM
ajst-15577	167	12	.	.	PUNCT
ajst-15577	168	1	model	model	NOUN
ajst-15577	168	2	evaluation	evaluation	NOUN
ajst-15577	168	3	there	there	PRON
ajst-15577	168	4	are	be	VERB
ajst-15577	168	5	many	many	ADJ
ajst-15577	168	6	ways	way	NOUN
ajst-15577	168	7	to	to	PART
ajst-15577	168	8	evaluate	evaluate	VERB
ajst-15577	168	9	binary	binary	ADJ
ajst-15577	168	10	classification	classification	NOUN
ajst-15577	168	11	models	model	NOUN
ajst-15577	168	12	.	.	PUNCT
ajst-15577	169	1	in	in	ADP
ajst-15577	169	2	the	the	DET
ajst-15577	169	3	field	field	NOUN
ajst-15577	169	4	of	of	ADP
ajst-15577	169	5	fault	fault	NOUN
ajst-15577	169	6	detection	detection	NOUN
ajst-15577	169	7	,	,	PUNCT
ajst-15577	169	8	assuming	assume	VERB
ajst-15577	169	9	that	that	SCONJ
ajst-15577	169	10	the	the	DET
ajst-15577	169	11	data	datum	NOUN
ajst-15577	169	12	of	of	ADP
ajst-15577	169	13	a	a	DET
ajst-15577	169	14	system	system	NOUN
ajst-15577	169	15	is	be	AUX
ajst-15577	169	16	categorized	categorize	VERB
ajst-15577	169	17	into	into	ADP
ajst-15577	169	18	health	health	NOUN
ajst-15577	169	19	and	and	CCONJ
ajst-15577	169	20	fault	fault	NOUN
ajst-15577	169	21	classes	class	NOUN
ajst-15577	169	22	and	and	CCONJ
ajst-15577	169	23	a	a	DET
ajst-15577	169	24	model	model	NOUN
ajst-15577	169	25	is	be	AUX
ajst-15577	169	26	trained	train	VERB
ajst-15577	169	27	based	base	VERB
ajst-15577	169	28	on	on	ADP
ajst-15577	169	29	these	these	DET
ajst-15577	169	30	data	datum	NOUN
ajst-15577	169	31	,	,	PUNCT
ajst-15577	169	32	the	the	DET
ajst-15577	169	33	quality	quality	NOUN
ajst-15577	169	34	of	of	ADP
ajst-15577	169	35	the	the	DET
ajst-15577	169	36	model	model	NOUN
ajst-15577	169	37	can	can	AUX
ajst-15577	169	38	be	be	AUX
ajst-15577	169	39	evaluated	evaluate	VERB
ajst-15577	169	40	by	by	ADP
ajst-15577	169	41	the	the	DET
ajst-15577	169	42	following	follow	VERB
ajst-15577	169	43	two	two	NUM
ajst-15577	169	44	criteria	criterion	NOUN
ajst-15577	169	45	:	:	PUNCT
ajst-15577	169	46	•diagnose	•diagnose	VERB
ajst-15577	169	47	all	all	DET
ajst-15577	169	48	healthy	healthy	ADJ
ajst-15577	169	49	state	state	NOUN
ajst-15577	169	50	data	datum	NOUN
ajst-15577	169	51	as	as	ADV
ajst-15577	169	52	accurately	accurately	ADV
ajst-15577	169	53	as	as	ADP
ajst-15577	169	54	possible	possible	ADJ
ajst-15577	169	55	(	(	PUNCT
ajst-15577	169	56	do	do	AUX
ajst-15577	169	57	not	not	PART
ajst-15577	169	58	predict	predict	VERB
ajst-15577	169	59	healthy	healthy	ADJ
ajst-15577	169	60	states	state	NOUN
ajst-15577	169	61	as	as	ADP
ajst-15577	169	62	faulty	faulty	ADJ
ajst-15577	169	63	states	state	NOUN
ajst-15577	169	64	)	)	PUNCT
ajst-15577	169	65	.	.	PUNCT
ajst-15577	170	1	•do	•do	PUNCT
ajst-15577	171	1	your	your	PRON
ajst-15577	171	2	best	good	ADJ
ajst-15577	171	3	to	to	PART
ajst-15577	171	4	keep	keep	VERB
ajst-15577	171	5	all	all	DET
ajst-15577	171	6	identified	identify	VERB
ajst-15577	171	7	states	state	NOUN
ajst-15577	171	8	as	as	ADV
ajst-15577	171	9	healthy	healthy	ADJ
ajst-15577	171	10	as	as	ADP
ajst-15577	171	11	possible	possible	ADJ
ajst-15577	171	12	(	(	PUNCT
ajst-15577	171	13	do	do	AUX
ajst-15577	171	14	not	not	PART
ajst-15577	171	15	predict	predict	VERB
ajst-15577	171	16	faulty	faulty	ADJ
ajst-15577	171	17	states	state	NOUN
ajst-15577	171	18	as	as	ADV
ajst-15577	171	19	healthy	healthy	ADJ
ajst-15577	171	20	)	)	PUNCT
ajst-15577	171	21	.	.	PUNCT
ajst-15577	172	1	these	these	DET
ajst-15577	172	2	two	two	NUM
ajst-15577	172	3	statements	statement	NOUN
ajst-15577	172	4	are	be	AUX
ajst-15577	172	5	fundamentally	fundamentally	ADV
ajst-15577	172	6	different	different	ADJ
ajst-15577	172	7	.	.	PUNCT
ajst-15577	173	1	the	the	DET
ajst-15577	173	2	first	first	ADJ
ajst-15577	173	3	96	96	NUM
ajst-15577	173	4	reduces	reduce	VERB
ajst-15577	173	5	maintenance	maintenance	NOUN
ajst-15577	173	6	costs	cost	NOUN
ajst-15577	173	7	because	because	SCONJ
ajst-15577	173	8	it	it	PRON
ajst-15577	173	9	tries	try	VERB
ajst-15577	173	10	not	not	PART
ajst-15577	173	11	to	to	PART
ajst-15577	173	12	predict	predict	VERB
ajst-15577	173	13	whether	whether	SCONJ
ajst-15577	173	14	a	a	DET
ajst-15577	173	15	system	system	NOUN
ajst-15577	173	16	is	be	AUX
ajst-15577	173	17	faulty	faulty	ADJ
ajst-15577	173	18	unless	unless	SCONJ
ajst-15577	173	19	it	it	PRON
ajst-15577	173	20	is	be	AUX
ajst-15577	173	21	,	,	PUNCT
ajst-15577	173	22	but	but	CCONJ
ajst-15577	173	23	it	it	PRON
ajst-15577	173	24	may	may	AUX
ajst-15577	173	25	detect	detect	VERB
ajst-15577	173	26	faulty	faulty	ADJ
ajst-15577	173	27	states	state	NOUN
ajst-15577	173	28	as	as	ADV
ajst-15577	173	29	healthy	healthy	ADJ
ajst-15577	173	30	,	,	PUNCT
ajst-15577	173	31	so	so	CCONJ
ajst-15577	173	32	it	it	PRON
ajst-15577	173	33	is	be	AUX
ajst-15577	173	34	not	not	PART
ajst-15577	173	35	suitable	suitable	ADJ
ajst-15577	173	36	for	for	ADP
ajst-15577	173	37	sensitive	sensitive	ADJ
ajst-15577	173	38	systems	system	NOUN
ajst-15577	173	39	.	.	PUNCT
ajst-15577	174	1	in	in	ADP
ajst-15577	174	2	contrast	contrast	NOUN
ajst-15577	174	3	,	,	PUNCT
ajst-15577	174	4	the	the	DET
ajst-15577	174	5	second	second	ADJ
ajst-15577	174	6	criterion	criterion	NOUN
ajst-15577	174	7	is	be	AUX
ajst-15577	174	8	better	well	ADJ
ajst-15577	174	9	for	for	ADP
ajst-15577	174	10	sensitive	sensitive	ADJ
ajst-15577	174	11	systems	system	NOUN
ajst-15577	174	12	.	.	PUNCT
ajst-15577	175	1	it	it	PRON
ajst-15577	175	2	tries	try	VERB
ajst-15577	175	3	not	not	PART
ajst-15577	175	4	to	to	PART
ajst-15577	175	5	misdiagnose	misdiagnose	VERB
ajst-15577	175	6	faults	fault	NOUN
ajst-15577	175	7	,	,	PUNCT
ajst-15577	175	8	but	but	CCONJ
ajst-15577	175	9	it	it	PRON
ajst-15577	175	10	may	may	AUX
ajst-15577	175	11	detect	detect	VERB
ajst-15577	175	12	a	a	DET
ajst-15577	175	13	healthy	healthy	ADJ
ajst-15577	175	14	state	state	NOUN
ajst-15577	175	15	as	as	ADP
ajst-15577	175	16	a	a	DET
ajst-15577	175	17	faulty	faulty	ADJ
ajst-15577	175	18	state	state	NOUN
ajst-15577	175	19	.	.	PUNCT
ajst-15577	176	1	as	as	ADP
ajst-15577	176	2	a	a	DET
ajst-15577	176	3	result	result	NOUN
ajst-15577	176	4	,	,	PUNCT
ajst-15577	176	5	it	it	PRON
ajst-15577	176	6	increases	increase	VERB
ajst-15577	176	7	maintenance	maintenance	NOUN
ajst-15577	176	8	costs	cost	NOUN
ajst-15577	176	9	.	.	PUNCT
ajst-15577	177	1	thus	thus	ADV
ajst-15577	177	2	,	,	PUNCT
ajst-15577	177	3	it	it	PRON
ajst-15577	177	4	was	be	AUX
ajst-15577	177	5	found	find	VERB
ajst-15577	177	6	that	that	SCONJ
ajst-15577	177	7	the	the	DET
ajst-15577	177	8	criteria	criterion	NOUN
ajst-15577	177	9	for	for	ADP
ajst-15577	177	10	determining	determine	VERB
ajst-15577	177	11	model	model	NOUN
ajst-15577	177	12	assessment	assessment	NOUN
ajst-15577	177	13	are	be	AUX
ajst-15577	177	14	part	part	NOUN
ajst-15577	177	15	of	of	ADP
ajst-15577	177	16	any	any	DET
ajst-15577	177	17	binary	binary	ADJ
ajst-15577	177	18	classification	classification	NOUN
ajst-15577	177	19	problem	problem	NOUN
ajst-15577	177	20	.	.	PUNCT
ajst-15577	178	1	there	there	PRON
ajst-15577	178	2	are	be	VERB
ajst-15577	178	3	different	different	ADJ
ajst-15577	178	4	criteria	criterion	NOUN
ajst-15577	178	5	for	for	ADP
ajst-15577	178	6	this	this	DET
ajst-15577	178	7	assessment	assessment	NOUN
ajst-15577	178	8	,	,	PUNCT
ajst-15577	178	9	each	each	PRON
ajst-15577	178	10	of	of	ADP
ajst-15577	178	11	which	which	PRON
ajst-15577	178	12	provides	provide	VERB
ajst-15577	178	13	a	a	DET
ajst-15577	178	14	different	different	ADJ
ajst-15577	178	15	view	view	NOUN
ajst-15577	178	16	of	of	ADP
ajst-15577	178	17	the	the	DET
ajst-15577	178	18	problem	problem	NOUN
ajst-15577	178	19	.	.	PUNCT
ajst-15577	179	1	these	these	DET
ajst-15577	179	2	criteria	criterion	NOUN
ajst-15577	179	3	are	be	AUX
ajst-15577	179	4	described	describe	VERB
ajst-15577	179	5	below	below	ADV
ajst-15577	179	6	.	.	PUNCT
ajst-15577	180	1	f	f	PUNCT
ajst-15577	180	2	score	score	VERB
ajst-15577	180	3	.	.	PUNCT
ajst-15577	181	1	understanding	understand	VERB
ajst-15577	181	2	this	this	DET
ajst-15577	181	3	criterion	criterion	NOUN
ajst-15577	181	4	presupposes	presuppose	VERB
ajst-15577	181	5	the	the	DET
ajst-15577	181	6	definition	definition	NOUN
ajst-15577	181	7	of	of	ADP
ajst-15577	181	8	two	two	NUM
ajst-15577	181	9	other	other	ADJ
ajst-15577	181	10	criteria	criterion	NOUN
ajst-15577	181	11	,	,	PUNCT
ajst-15577	181	12	namely	namely	ADV
ajst-15577	181	13	recall	recall	VERB
ajst-15577	181	14	and	and	CCONJ
ajst-15577	181	15	accuracy	accuracy	NOUN
ajst-15577	181	16	.	.	PUNCT
ajst-15577	182	1	the	the	DET
ajst-15577	182	2	values	value	NOUN
ajst-15577	182	3	of	of	ADP
ajst-15577	182	4	these	these	DET
ajst-15577	182	5	criteria	criterion	NOUN
ajst-15577	182	6	are	be	AUX
ajst-15577	182	7	calculated	calculate	VERB
ajst-15577	182	8	as	as	SCONJ
ajst-15577	182	9	follows	follow	VERB
ajst-15577	182	10	:	:	PUNCT
ajst-15577	182	11	re	re	ADP
ajst-15577	182	12	tp	tp	PART
ajst-15577	182	13	call	call	VERB
ajst-15577	182	14	tp	tp	ADP
ajst-15577	182	15	fn	fn	PROPN
ajst-15577	183	1			PROPN
ajst-15577	183	2			PUNCT
ajst-15577	183	3	(	(	PUNCT
ajst-15577	183	4	12	12	NUM
ajst-15577	183	5	)	)	PUNCT
ajst-15577	183	6	tp	tp	PART
ajst-15577	183	7	precision	precision	NOUN
ajst-15577	183	8	tp	tp	ADP
ajst-15577	183	9	fp	fp	PROPN
ajst-15577	183	10			PROPN
ajst-15577	183	11			X
ajst-15577	183	12	(	(	PUNCT
ajst-15577	183	13	13	13	NUM
ajst-15577	183	14	)	)	PUNCT
ajst-15577	184	1	each	each	PRON
ajst-15577	184	2	of	of	ADP
ajst-15577	184	3	these	these	DET
ajst-15577	184	4	symbols	symbol	NOUN
ajst-15577	184	5	is	be	AUX
ajst-15577	184	6	described	describe	VERB
ajst-15577	184	7	below	below	ADV
ajst-15577	184	8	(	(	PUNCT
ajst-15577	184	9	assuming	assume	VERB
ajst-15577	184	10	the	the	DET
ajst-15577	184	11	data	datum	NOUN
ajst-15577	184	12	is	be	AUX
ajst-15577	184	13	labeled	label	VERB
ajst-15577	184	14	positive	positive	ADJ
ajst-15577	184	15	and	and	CCONJ
ajst-15577	184	16	negative	negative	ADJ
ajst-15577	184	17	)	)	PUNCT
ajst-15577	184	18	.	.	PUNCT
ajst-15577	185	1	•tp	•tp	NUM
ajst-15577	185	2	(	(	PUNCT
ajst-15577	185	3	true	true	ADJ
ajst-15577	185	4	positive	positive	ADJ
ajst-15577	185	5	):	):	PUNCT
ajst-15577	185	6	number	number	NOUN
ajst-15577	185	7	of	of	ADP
ajst-15577	185	8	positive	positive	ADJ
ajst-15577	185	9	markers	marker	NOUN
ajst-15577	185	10	and	and	CCONJ
ajst-15577	185	11	correctly	correctly	ADV
ajst-15577	185	12	predicted	predict	VERB
ajst-15577	185	13	data	datum	NOUN
ajst-15577	185	14	.	.	PUNCT
ajst-15577	186	1	•tn	•tn	PROPN
ajst-15577	186	2	(	(	PUNCT
ajst-15577	186	3	true	true	ADJ
ajst-15577	186	4	negative	negative	ADJ
ajst-15577	186	5	):	):	PUNCT
ajst-15577	186	6	number	number	NOUN
ajst-15577	186	7	of	of	ADP
ajst-15577	186	8	negatively	negatively	ADV
ajst-15577	186	9	labeled	label	VERB
ajst-15577	186	10	and	and	CCONJ
ajst-15577	186	11	correctly	correctly	ADV
ajst-15577	186	12	predicted	predict	VERB
ajst-15577	186	13	data	datum	NOUN
ajst-15577	186	14	.	.	PUNCT
ajst-15577	187	1	•fp	•fp	PROPN
ajst-15577	187	2	(	(	PUNCT
ajst-15577	187	3	false	false	ADJ
ajst-15577	187	4	positive	positive	ADJ
ajst-15577	187	5	):	):	PUNCT
ajst-15577	187	6	the	the	DET
ajst-15577	187	7	number	number	NOUN
ajst-15577	187	8	of	of	ADP
ajst-15577	187	9	data	datum	NOUN
ajst-15577	187	10	labeled	label	VERB
ajst-15577	187	11	as	as	ADP
ajst-15577	187	12	negative	negative	ADJ
ajst-15577	187	13	but	but	CCONJ
ajst-15577	187	14	predicted	predict	VERB
ajst-15577	187	15	as	as	ADP
ajst-15577	187	16	positive	positive	ADJ
ajst-15577	187	17	.	.	PUNCT
ajst-15577	188	1	•fn	•fn	ADV
ajst-15577	188	2	(	(	PUNCT
ajst-15577	188	3	false	false	ADJ
ajst-15577	188	4	negative	negative	ADJ
ajst-15577	188	5	):	):	PUNCT
ajst-15577	188	6	the	the	DET
ajst-15577	188	7	number	number	NOUN
ajst-15577	188	8	of	of	ADP
ajst-15577	188	9	data	datum	NOUN
ajst-15577	188	10	labeled	label	VERB
ajst-15577	188	11	as	as	ADP
ajst-15577	188	12	positive	positive	ADJ
ajst-15577	188	13	but	but	CCONJ
ajst-15577	188	14	predicted	predict	VERB
ajst-15577	188	15	to	to	PART
ajst-15577	188	16	be	be	AUX
ajst-15577	188	17	negative	negative	ADJ
ajst-15577	188	18	.	.	PUNCT
ajst-15577	189	1	the	the	DET
ajst-15577	189	2	f	f	PROPN
ajst-15577	189	3	score	score	NOUN
ajst-15577	189	4	uses	use	VERB
ajst-15577	189	5	a	a	DET
ajst-15577	189	6	combination	combination	NOUN
ajst-15577	189	7	of	of	ADP
ajst-15577	189	8	recall	recall	NOUN
ajst-15577	189	9	and	and	CCONJ
ajst-15577	189	10	precision	precision	NOUN
ajst-15577	189	11	criteria	criterion	NOUN
ajst-15577	189	12	.	.	PUNCT
ajst-15577	190	1	the	the	DET
ajst-15577	190	2	score	score	NOUN
ajst-15577	190	3	is	be	AUX
ajst-15577	190	4	defined	define	VERB
ajst-15577	190	5	as	as	SCONJ
ajst-15577	190	6	follows	follow	VERB
ajst-15577	190	7	.	.	PUNCT
ajst-15577	191	1	2	2	NUM
ajst-15577	191	2	2	2	NUM
ajst-15577	191	3	(	(	PUNCT
ajst-15577	191	4	1	1	NUM
ajst-15577	191	5	)	)	PUNCT
ajst-15577	191	6	(	(	PUNCT
ajst-15577	191	7	)	)	PUNCT
ajst-15577	191	8	precision	precision	NOUN
ajst-15577	191	9	recall	recall	NOUN
ajst-15577	191	10	f	f	PROPN
ajst-15577	191	11	precision	precision	PROPN
ajst-15577	191	12	recall	recall	NOUN
ajst-15577	191	13			PROPN
ajst-15577	191	14			PROPN
ajst-15577	191	15			PROPN
ajst-15577	191	16			PROPN
ajst-15577	191	17			ADJ
ajst-15577	191	18			NUM
ajst-15577	191	19			PUNCT
ajst-15577	191	20	(	(	PUNCT
ajst-15577	191	21	14	14	NUM
ajst-15577	191	22	)	)	PUNCT
ajst-15577	191	23	in	in	ADP
ajst-15577	191	24	this	this	DET
ajst-15577	191	25	equation	equation	NOUN
ajst-15577	191	26	,	,	PUNCT
ajst-15577	191	27	as	as	ADP
ajst-15577	191	28			NOUN
ajst-15577	191	29	increases	increase	NOUN
ajst-15577	191	30	,	,	PUNCT
ajst-15577	191	31	the	the	DET
ajst-15577	191	32	effect	effect	NOUN
ajst-15577	191	33	of	of	ADP
ajst-15577	191	34	accuracy	accuracy	NOUN
ajst-15577	191	35	increases	increase	NOUN
ajst-15577	191	36	.	.	PUNCT
ajst-15577	192	1	therefore	therefore	ADV
ajst-15577	192	2	,	,	PUNCT
ajst-15577	192	3	different	different	ADJ
ajst-15577	192	4	standards	standard	NOUN
ajst-15577	192	5	can	can	AUX
ajst-15577	192	6	be	be	AUX
ajst-15577	192	7	created	create	VERB
ajst-15577	192	8	by	by	ADP
ajst-15577	192	9	determining	determine	VERB
ajst-15577	192	10	the	the	DET
ajst-15577	192	11	value	value	NOUN
ajst-15577	192	12	of	of	ADP
ajst-15577	192	13			PROPN
ajst-15577	192	14	.	.	PUNCT
ajst-15577	193	1	this	this	DET
ajst-15577	193	2	number	number	NOUN
ajst-15577	193	3	is	be	AUX
ajst-15577	193	4	usually	usually	ADV
ajst-15577	193	5	equal	equal	ADJ
ajst-15577	193	6	to	to	ADP
ajst-15577	193	7	1	1	NUM
ajst-15577	193	8	or	or	CCONJ
ajst-15577	193	9	2	2	NUM
ajst-15577	193	10	.	.	PUNCT
ajst-15577	193	11	by	by	ADP
ajst-15577	193	12	placing	place	VERB
ajst-15577	193	13	these	these	DET
ajst-15577	193	14	numbers	number	NOUN
ajst-15577	193	15	in	in	ADP
ajst-15577	193	16	the	the	DET
ajst-15577	193	17	formula	formula	NOUN
ajst-15577	193	18	above	above	ADV
ajst-15577	193	19	,	,	PUNCT
ajst-15577	193	20	two	two	NUM
ajst-15577	193	21	standards	standard	NOUN
ajst-15577	193	22	,	,	PUNCT
ajst-15577	193	23	1f	1f	NUM
ajst-15577	193	24	and	and	CCONJ
ajst-15577	193	25	2f	2f	NUM
ajst-15577	193	26	,	,	PUNCT
ajst-15577	193	27	can	can	AUX
ajst-15577	193	28	be	be	AUX
ajst-15577	193	29	obtained	obtain	VERB
ajst-15577	193	30	.	.	PUNCT
ajst-15577	194	1	1	1	NUM
ajst-15577	194	2	precision	precision	NOUN
ajst-15577	194	3	recall	recall	NOUN
ajst-15577	194	4	f	f	PROPN
ajst-15577	194	5	precision	precision	NOUN
ajst-15577	194	6	recall	recall	VERB
ajst-15577	194	7			PROPN
ajst-15577	194	8			PROPN
ajst-15577	194	9			X
ajst-15577	194	10	(	(	PUNCT
ajst-15577	194	11	15	15	NUM
ajst-15577	194	12	)	)	SYM
ajst-15577	194	13	2	2	NUM
ajst-15577	194	14	5	5	NUM
ajst-15577	194	15	*	*	SYM
ajst-15577	194	16	4	4	NUM
ajst-15577	194	17	*	*	PUNCT
ajst-15577	194	18	precision	precision	NOUN
ajst-15577	194	19	recall	recall	NOUN
ajst-15577	194	20	f	f	PROPN
ajst-15577	194	21	precision	precision	NOUN
ajst-15577	194	22	recall	recall	VERB
ajst-15577	194	23			PROPN
ajst-15577	194	24			PROPN
ajst-15577	194	25			PUNCT
ajst-15577	194	26	(	(	PUNCT
ajst-15577	194	27	16	16	NUM
ajst-15577	194	28	)	)	PUNCT
ajst-15577	194	29	assuming	assume	VERB
ajst-15577	194	30	that	that	SCONJ
ajst-15577	194	31	it	it	PRON
ajst-15577	194	32	is	be	AUX
ajst-15577	194	33	not	not	PART
ajst-15577	194	34	desirable	desirable	ADJ
ajst-15577	194	35	to	to	PART
ajst-15577	194	36	predict	predict	VERB
ajst-15577	194	37	a	a	DET
ajst-15577	194	38	healthy	healthy	ADJ
ajst-15577	194	39	state	state	NOUN
ajst-15577	194	40	as	as	ADP
ajst-15577	194	41	faulty	faulty	NOUN
ajst-15577	194	42	,	,	PUNCT
ajst-15577	194	43	the	the	DET
ajst-15577	194	44	recall	recall	NOUN
ajst-15577	194	45	criterion	criterion	NOUN
ajst-15577	194	46	is	be	AUX
ajst-15577	194	47	more	more	ADV
ajst-15577	194	48	important	important	ADJ
ajst-15577	194	49	,	,	PUNCT
ajst-15577	194	50	but	but	CCONJ
ajst-15577	194	51	if	if	SCONJ
ajst-15577	194	52	it	it	PRON
ajst-15577	194	53	is	be	AUX
ajst-15577	194	54	desirable	desirable	ADJ
ajst-15577	194	55	not	not	PART
ajst-15577	194	56	to	to	PART
ajst-15577	194	57	predict	predict	VERB
ajst-15577	194	58	a	a	DET
ajst-15577	194	59	faulty	faulty	ADJ
ajst-15577	194	60	state	state	NOUN
ajst-15577	194	61	as	as	ADV
ajst-15577	194	62	healthy	healthy	ADJ
ajst-15577	194	63	,	,	PUNCT
ajst-15577	194	64	the	the	DET
ajst-15577	194	65	precision	precision	NOUN
ajst-15577	194	66	criterion	criterion	NOUN
ajst-15577	194	67	is	be	AUX
ajst-15577	194	68	more	more	ADV
ajst-15577	194	69	important	important	ADJ
ajst-15577	194	70	.	.	PUNCT
ajst-15577	195	1	auc	auc	NOUN
ajst-15577	195	2	score	score	NOUN
ajst-15577	195	3	.	.	PUNCT
ajst-15577	196	1	the	the	DET
ajst-15577	196	2	area	area	NOUN
ajst-15577	196	3	under	under	ADP
ajst-15577	196	4	the	the	DET
ajst-15577	196	5	curve	curve	NOUN
ajst-15577	196	6	(	(	PUNCT
ajst-15577	196	7	auc	auc	NOUN
ajst-15577	196	8	)	)	PUNCT
ajst-15577	196	9	is	be	AUX
ajst-15577	196	10	one	one	NUM
ajst-15577	196	11	of	of	ADP
ajst-15577	196	12	the	the	DET
ajst-15577	196	13	most	most	ADV
ajst-15577	196	14	widely	widely	ADV
ajst-15577	196	15	used	use	VERB
ajst-15577	196	16	metrics	metric	NOUN
ajst-15577	196	17	for	for	ADP
ajst-15577	196	18	model	model	NOUN
ajst-15577	196	19	evaluation	evaluation	NOUN
ajst-15577	196	20	.	.	PUNCT
ajst-15577	197	1	it	it	PRON
ajst-15577	197	2	is	be	AUX
ajst-15577	197	3	commonly	commonly	ADV
ajst-15577	197	4	used	use	VERB
ajst-15577	197	5	for	for	ADP
ajst-15577	197	6	binary	binary	ADJ
ajst-15577	197	7	classification	classification	NOUN
ajst-15577	197	8	problems	problem	NOUN
ajst-15577	197	9	.	.	PUNCT
ajst-15577	198	1	auc	auc	VERB
ajst-15577	198	2	measures	measure	NOUN
ajst-15577	198	3	the	the	DET
ajst-15577	198	4	entire	entire	ADJ
ajst-15577	198	5	two	two	NUM
ajst-15577	198	6	-	-	PUNCT
ajst-15577	198	7	dimensional	dimensional	ADJ
ajst-15577	198	8	area	area	NOUN
ajst-15577	198	9	below	below	ADP
ajst-15577	198	10	the	the	DET
ajst-15577	198	11	roc	roc	PROPN
ajst-15577	198	12	curve	curve	NOUN
ajst-15577	198	13	and	and	CCONJ
ajst-15577	198	14	indicates	indicate	VERB
ajst-15577	198	15	the	the	DET
ajst-15577	198	16	degree	degree	NOUN
ajst-15577	198	17	of	of	ADP
ajst-15577	198	18	separability	separability	NOUN
ajst-15577	198	19	.	.	PUNCT
ajst-15577	199	1	the	the	PRON
ajst-15577	199	2	higher	high	ADJ
ajst-15577	199	3	the	the	DET
ajst-15577	199	4	auc	auc	NOUN
ajst-15577	199	5	score	score	NOUN
ajst-15577	199	6	,	,	PUNCT
ajst-15577	199	7	the	the	DET
ajst-15577	199	8	more	more	ADV
ajst-15577	199	9	accurate	accurate	ADJ
ajst-15577	199	10	the	the	DET
ajst-15577	199	11	model	model	NOUN
ajst-15577	199	12	is	be	AUX
ajst-15577	199	13	in	in	ADP
ajst-15577	199	14	making	make	VERB
ajst-15577	199	15	predictions	prediction	NOUN
ajst-15577	199	16	.	.	PUNCT
ajst-15577	200	1	in	in	ADP
ajst-15577	200	2	order	order	NOUN
ajst-15577	200	3	to	to	PART
ajst-15577	200	4	verify	verify	VERB
ajst-15577	200	5	the	the	DET
ajst-15577	200	6	performance	performance	NOUN
ajst-15577	200	7	of	of	ADP
ajst-15577	200	8	the	the	DET
ajst-15577	200	9	model	model	NOUN
ajst-15577	200	10	,	,	PUNCT
ajst-15577	200	11	three	three	NUM
ajst-15577	200	12	methods	method	NOUN
ajst-15577	200	13	commonly	commonly	ADV
ajst-15577	200	14	used	use	VERB
ajst-15577	200	15	in	in	ADP
ajst-15577	200	16	fault	fault	NOUN
ajst-15577	200	17	diagnosis	diagnosis	NOUN
ajst-15577	200	18	are	be	AUX
ajst-15577	200	19	selected	select	VERB
ajst-15577	200	20	for	for	ADP
ajst-15577	200	21	comparison	comparison	NOUN
ajst-15577	200	22	,	,	PUNCT
ajst-15577	200	23	namely	namely	ADV
ajst-15577	200	24	,	,	PUNCT
ajst-15577	200	25	support	support	NOUN
ajst-15577	200	26	vector	vector	NOUN
ajst-15577	200	27	machine	machine	NOUN
ajst-15577	200	28	,	,	PUNCT
ajst-15577	200	29	bp	bp	PROPN
ajst-15577	200	30	neural	neural	ADJ
ajst-15577	200	31	network	network	NOUN
ajst-15577	200	32	and	and	CCONJ
ajst-15577	200	33	one	one	NUM
ajst-15577	200	34	-	-	PUNCT
ajst-15577	200	35	dimensional	dimensional	ADJ
ajst-15577	200	36	convolutional	convolutional	ADJ
ajst-15577	200	37	neural	neural	ADJ
ajst-15577	200	38	network	network	NOUN
ajst-15577	200	39	,	,	PUNCT
ajst-15577	200	40	and	and	CCONJ
ajst-15577	200	41	the	the	DET
ajst-15577	200	42	comparison	comparison	NOUN
ajst-15577	200	43	results	result	NOUN
ajst-15577	200	44	obtained	obtain	VERB
ajst-15577	200	45	are	be	AUX
ajst-15577	200	46	shown	show	VERB
ajst-15577	200	47	in	in	ADP
ajst-15577	200	48	table	table	NOUN
ajst-15577	200	49	3	3	NUM
ajst-15577	200	50	.	.	PUNCT
ajst-15577	200	51	table	table	NOUN
ajst-15577	200	52	3	3	NUM
ajst-15577	200	53	.	.	PUNCT
ajst-15577	201	1	comparison	comparison	NOUN
ajst-15577	201	2	of	of	ADP
ajst-15577	201	3	performance	performance	NOUN
ajst-15577	201	4	results	result	VERB
ajst-15577	201	5	methods	method	NOUN
ajst-15577	201	6	auc	auc	X
ajst-15577	201	7	f1	f1	PROPN
ajst-15577	201	8	f2	f2	PROPN
ajst-15577	201	9	support	support	NOUN
ajst-15577	201	10	vector	vector	NOUN
ajst-15577	201	11	machines	machine	NOUN
ajst-15577	201	12	(	(	PUNCT
ajst-15577	201	13	svm	svm	PROPN
ajst-15577	201	14	)	)	PUNCT
ajst-15577	201	15	0.845	0.845	NUM
ajst-15577	201	16	0.783	0.783	NUM
ajst-15577	201	17	0.726	0.726	NUM
ajst-15577	201	18	bp	bp	PROPN
ajst-15577	201	19	neural	neural	ADJ
ajst-15577	201	20	network	network	NOUN
ajst-15577	201	21	0.863	0.863	NUM
ajst-15577	201	22	0.814	0.814	NUM
ajst-15577	201	23	0.785	0.785	NUM
ajst-15577	201	24	one	one	NUM
ajst-15577	201	25	-	-	PUNCT
ajst-15577	201	26	dimensional	dimensional	ADJ
ajst-15577	201	27	convolutional	convolutional	ADJ
ajst-15577	201	28	neural	neural	ADJ
ajst-15577	201	29	network	network	NOUN
ajst-15577	202	1	0.936	0.936	NUM
ajst-15577	202	2	0.862	0.862	NUM
ajst-15577	202	3	0.817	0.817	NUM
ajst-15577	202	4	mfcc	mfcc	NOUN
ajst-15577	202	5	-	-	PUNCT
ajst-15577	202	6	mlcnn	mlcnn	PROPN
ajst-15577	202	7	0.969	0.969	NUM
ajst-15577	202	8	0.914	0.914	NUM
ajst-15577	202	9	0.883	0.883	NUM
ajst-15577	202	10	in	in	ADP
ajst-15577	202	11	table	table	NOUN
ajst-15577	202	12	3	3	NUM
ajst-15577	202	13	,	,	PUNCT
ajst-15577	202	14	when	when	SCONJ
ajst-15577	202	15	using	use	VERB
ajst-15577	202	16	svm	svm	PROPN
ajst-15577	202	17	and	and	CCONJ
ajst-15577	202	18	bp	bp	PROPN
ajst-15577	202	19	neural	neural	ADJ
ajst-15577	202	20	networks	network	NOUN
ajst-15577	202	21	for	for	ADP
ajst-15577	202	22	fault	fault	NOUN
ajst-15577	202	23	diagnosis	diagnosis	NOUN
ajst-15577	202	24	of	of	ADP
ajst-15577	202	25	signals	signal	NOUN
ajst-15577	202	26	,	,	PUNCT
ajst-15577	202	27	it	it	PRON
ajst-15577	202	28	is	be	AUX
ajst-15577	202	29	necessary	necessary	ADJ
ajst-15577	202	30	to	to	PART
ajst-15577	202	31	manually	manually	ADV
ajst-15577	202	32	design	design	VERB
ajst-15577	202	33	the	the	DET
ajst-15577	202	34	extraction	extraction	NOUN
ajst-15577	202	35	of	of	ADP
ajst-15577	202	36	faulty	faulty	ADJ
ajst-15577	202	37	signal	signal	NOUN
ajst-15577	202	38	features	feature	NOUN
ajst-15577	202	39	,	,	PUNCT
ajst-15577	202	40	and	and	CCONJ
ajst-15577	202	41	this	this	DET
ajst-15577	202	42	process	process	NOUN
ajst-15577	202	43	is	be	AUX
ajst-15577	202	44	affected	affect	VERB
ajst-15577	202	45	by	by	ADP
ajst-15577	202	46	the	the	DET
ajst-15577	202	47	experience	experience	NOUN
ajst-15577	202	48	of	of	ADP
ajst-15577	202	49	the	the	DET
ajst-15577	202	50	researchers	researcher	NOUN
ajst-15577	202	51	,	,	PUNCT
ajst-15577	202	52	and	and	CCONJ
ajst-15577	202	53	the	the	DET
ajst-15577	202	54	final	final	ADJ
ajst-15577	202	55	classification	classification	NOUN
ajst-15577	202	56	accuracy	accuracy	NOUN
ajst-15577	202	57	is	be	AUX
ajst-15577	202	58	not	not	PART
ajst-15577	202	59	high	high	ADJ
ajst-15577	202	60	.	.	PUNCT
ajst-15577	203	1	in	in	ADP
ajst-15577	203	2	the	the	DET
ajst-15577	203	3	fault	fault	NOUN
ajst-15577	203	4	diagnosis	diagnosis	NOUN
ajst-15577	203	5	of	of	ADP
ajst-15577	203	6	signals	signal	NOUN
ajst-15577	203	7	using	use	VERB
ajst-15577	203	8	one	one	NUM
ajst-15577	203	9	-	-	PUNCT
ajst-15577	203	10	dimensional	dimensional	ADJ
ajst-15577	203	11	convolutional	convolutional	ADJ
ajst-15577	203	12	neural	neural	ADJ
ajst-15577	203	13	network	network	NOUN
ajst-15577	203	14	approach	approach	NOUN
ajst-15577	203	15	,	,	PUNCT
ajst-15577	203	16	the	the	DET
ajst-15577	203	17	number	number	NOUN
ajst-15577	203	18	and	and	CCONJ
ajst-15577	203	19	length	length	NOUN
ajst-15577	203	20	of	of	ADP
ajst-15577	203	21	signals	signal	NOUN
ajst-15577	203	22	are	be	AUX
ajst-15577	203	23	limited	limit	VERB
ajst-15577	203	24	,	,	PUNCT
ajst-15577	203	25	resulting	result	VERB
ajst-15577	203	26	in	in	ADP
ajst-15577	203	27	one	one	NUM
ajst-15577	203	28	-	-	PUNCT
ajst-15577	203	29	dimensional	dimensional	ADJ
ajst-15577	203	30	convolutional	convolutional	ADJ
ajst-15577	203	31	neural	neural	ADJ
ajst-15577	203	32	network	network	NOUN
ajst-15577	203	33	's	's	PART
ajst-15577	203	34	sensory	sensory	ADJ
ajst-15577	203	35	field	field	NOUN
ajst-15577	203	36	is	be	AUX
ajst-15577	203	37	not	not	PART
ajst-15577	203	38	large	large	ADJ
ajst-15577	203	39	enough	enough	ADV
ajst-15577	203	40	,	,	PUNCT
ajst-15577	203	41	and	and	CCONJ
ajst-15577	203	42	in	in	ADP
ajst-15577	203	43	the	the	DET
ajst-15577	203	44	training	training	NOUN
ajst-15577	203	45	process	process	NOUN
ajst-15577	203	46	,	,	PUNCT
ajst-15577	203	47	overfitting	overfitte	VERB
ajst-15577	203	48	and	and	CCONJ
ajst-15577	203	49	other	other	ADJ
ajst-15577	203	50	situations	situation	NOUN
ajst-15577	203	51	may	may	AUX
ajst-15577	203	52	occur	occur	VERB
ajst-15577	203	53	,	,	PUNCT
ajst-15577	203	54	resulting	result	VERB
ajst-15577	203	55	in	in	ADP
ajst-15577	203	56	a	a	DET
ajst-15577	203	57	decrease	decrease	NOUN
ajst-15577	203	58	in	in	ADP
ajst-15577	203	59	the	the	DET
ajst-15577	203	60	accuracy	accuracy	NOUN
ajst-15577	203	61	rate	rate	NOUN
ajst-15577	203	62	.	.	PUNCT
ajst-15577	204	1	while	while	SCONJ
ajst-15577	204	2	in	in	ADP
ajst-15577	204	3	this	this	DET
ajst-15577	204	4	paper	paper	NOUN
ajst-15577	204	5	,	,	PUNCT
ajst-15577	204	6	the	the	DET
ajst-15577	204	7	mfccmlcnn	mfccmlcnn	ADJ
ajst-15577	204	8	method	method	NOUN
ajst-15577	204	9	is	be	AUX
ajst-15577	204	10	used	use	VERB
ajst-15577	204	11	for	for	ADP
ajst-15577	204	12	fault	fault	NOUN
ajst-15577	204	13	diagnosis	diagnosis	NOUN
ajst-15577	204	14	,	,	PUNCT
ajst-15577	204	15	which	which	PRON
ajst-15577	204	16	is	be	AUX
ajst-15577	204	17	better	well	ADJ
ajst-15577	204	18	than	than	ADP
ajst-15577	204	19	the	the	DET
ajst-15577	204	20	above	above	ADJ
ajst-15577	204	21	method	method	NOUN
ajst-15577	204	22	and	and	CCONJ
ajst-15577	204	23	has	have	VERB
ajst-15577	204	24	high	high	ADJ
ajst-15577	204	25	portability	portability	NOUN
ajst-15577	204	26	.	.	PUNCT
ajst-15577	205	1	4	4	X
ajst-15577	205	2	.	.	X
ajst-15577	205	3	conclusion	conclusion	NOUN
ajst-15577	205	4	aiming	aim	VERB
ajst-15577	205	5	at	at	ADP
ajst-15577	205	6	the	the	DET
ajst-15577	205	7	problem	problem	NOUN
ajst-15577	205	8	of	of	ADP
ajst-15577	205	9	water	water	NOUN
ajst-15577	205	10	pump	pump	NOUN
ajst-15577	205	11	fault	fault	NOUN
ajst-15577	205	12	detection	detection	NOUN
ajst-15577	205	13	,	,	PUNCT
ajst-15577	205	14	based	base	VERB
ajst-15577	205	15	on	on	ADP
ajst-15577	205	16	the	the	DET
ajst-15577	205	17	audio	audio	ADJ
ajst-15577	205	18	signal	signal	NOUN
ajst-15577	205	19	of	of	ADP
ajst-15577	205	20	the	the	DET
ajst-15577	205	21	water	water	NOUN
ajst-15577	205	22	pump	pump	NOUN
ajst-15577	205	23	,	,	PUNCT
ajst-15577	205	24	using	use	VERB
ajst-15577	205	25	the	the	DET
ajst-15577	205	26	idea	idea	NOUN
ajst-15577	205	27	of	of	ADP
ajst-15577	205	28	transfer	transfer	NOUN
ajst-15577	205	29	learning	learning	NOUN
ajst-15577	205	30	,	,	PUNCT
ajst-15577	205	31	combining	combine	VERB
ajst-15577	205	32	the	the	DET
ajst-15577	205	33	mel	mel	PROPN
ajst-15577	205	34	frequency	frequency	PROPN
ajst-15577	205	35	cepstrum	cepstrum	PROPN
ajst-15577	205	36	coefficient	coefficient	NOUN
ajst-15577	205	37	and	and	CCONJ
ajst-15577	205	38	the	the	DET
ajst-15577	205	39	convolutional	convolutional	ADJ
ajst-15577	205	40	neural	neural	ADJ
ajst-15577	205	41	network	network	NOUN
ajst-15577	205	42	method	method	NOUN
ajst-15577	205	43	,	,	PUNCT
ajst-15577	205	44	we	we	PRON
ajst-15577	205	45	propose	propose	VERB
ajst-15577	205	46	the	the	DET
ajst-15577	205	47	water	water	NOUN
ajst-15577	205	48	pump	pump	NOUN
ajst-15577	205	49	fault	fault	NOUN
ajst-15577	205	50	detection	detection	NOUN
ajst-15577	205	51	method	method	NOUN
ajst-15577	205	52	based	base	VERB
ajst-15577	205	53	on	on	ADP
ajst-15577	205	54	mfcc	mfcc	NOUN
ajst-15577	205	55	-	-	PUNCT
ajst-15577	205	56	mlcnn	mlcnn	PROPN
ajst-15577	205	57	.	.	PUNCT
ajst-15577	206	1	that	that	PRON
ajst-15577	206	2	is	be	AUX
ajst-15577	206	3	,	,	PUNCT
ajst-15577	206	4	the	the	DET
ajst-15577	206	5	mfcc	mfcc	NOUN
ajst-15577	206	6	of	of	ADP
ajst-15577	206	7	the	the	DET
ajst-15577	206	8	water	water	NOUN
ajst-15577	206	9	pump	pump	NOUN
ajst-15577	206	10	sound	sound	NOUN
ajst-15577	206	11	signal	signal	NOUN
ajst-15577	206	12	is	be	AUX
ajst-15577	206	13	extracted	extract	VERB
ajst-15577	206	14	as	as	ADP
ajst-15577	206	15	a	a	DET
ajst-15577	206	16	static	static	ADJ
ajst-15577	206	17	feature	feature	NOUN
ajst-15577	206	18	and	and	CCONJ
ajst-15577	206	19	its	its	PRON
ajst-15577	206	20	first	first	ADJ
ajst-15577	206	21	-	-	PUNCT
ajst-15577	206	22	order	order	NOUN
ajst-15577	206	23	secondorder	secondorder	ADJ
ajst-15577	206	24	difference	difference	NOUN
ajst-15577	206	25	is	be	AUX
ajst-15577	206	26	calculated	calculate	VERB
ajst-15577	206	27	as	as	ADP
ajst-15577	206	28	a	a	DET
ajst-15577	206	29	dynamic	dynamic	ADJ
ajst-15577	206	30	feature	feature	NOUN
ajst-15577	206	31	.	.	PUNCT
ajst-15577	207	1	a	a	DET
ajst-15577	207	2	convolutional	convolutional	ADJ
ajst-15577	207	3	neural	neural	ADJ
ajst-15577	207	4	network	network	NOUN
ajst-15577	207	5	based	base	VERB
ajst-15577	207	6	on	on	ADP
ajst-15577	207	7	migration	migration	NOUN
ajst-15577	207	8	learning	learning	NOUN
ajst-15577	207	9	is	be	AUX
ajst-15577	207	10	used	use	VERB
ajst-15577	207	11	as	as	ADP
ajst-15577	207	12	a	a	DET
ajst-15577	207	13	classifier	classifier	NOUN
ajst-15577	207	14	to	to	PART
ajst-15577	207	15	train	train	VERB
ajst-15577	207	16	and	and	CCONJ
ajst-15577	207	17	detect	detect	VERB
ajst-15577	207	18	using	use	VERB
ajst-15577	207	19	the	the	DET
ajst-15577	207	20	extracted	extract	VERB
ajst-15577	207	21	audio	audio	NOUN
ajst-15577	207	22	features	feature	NOUN
ajst-15577	207	23	.	.	PUNCT
ajst-15577	208	1	experimental	experimental	ADJ
ajst-15577	208	2	comparisons	comparison	NOUN
ajst-15577	208	3	were	be	AUX
ajst-15577	208	4	made	make	VERB
ajst-15577	208	5	between	between	ADP
ajst-15577	208	6	the	the	DET
ajst-15577	208	7	model	model	NOUN
ajst-15577	208	8	used	use	VERB
ajst-15577	208	9	in	in	ADP
ajst-15577	208	10	this	this	DET
ajst-15577	208	11	study	study	NOUN
ajst-15577	208	12	and	and	CCONJ
ajst-15577	208	13	other	other	ADJ
ajst-15577	208	14	commonly	commonly	ADV
ajst-15577	208	15	used	use	VERB
ajst-15577	208	16	models	model	NOUN
ajst-15577	208	17	in	in	ADP
ajst-15577	208	18	the	the	DET
ajst-15577	208	19	audio	audio	ADJ
ajst-15577	208	20	domain	domain	NOUN
ajst-15577	208	21	,	,	PUNCT
ajst-15577	208	22	and	and	CCONJ
ajst-15577	208	23	it	it	PRON
ajst-15577	208	24	was	be	AUX
ajst-15577	208	25	finally	finally	ADV
ajst-15577	208	26	verified	verify	VERB
ajst-15577	208	27	that	that	SCONJ
ajst-15577	208	28	the	the	DET
ajst-15577	208	29	model	model	NOUN
ajst-15577	208	30	used	use	VERB
ajst-15577	208	31	in	in	ADP
ajst-15577	208	32	this	this	DET
ajst-15577	208	33	study	study	NOUN
ajst-15577	208	34	is	be	AUX
ajst-15577	208	35	significantly	significantly	ADV
ajst-15577	208	36	better	well	ADJ
ajst-15577	208	37	than	than	ADP
ajst-15577	208	38	other	other	ADJ
ajst-15577	208	39	models	model	NOUN
ajst-15577	208	40	in	in	ADP
ajst-15577	208	41	terms	term	NOUN
ajst-15577	208	42	of	of	ADP
ajst-15577	208	43	performance	performance	NOUN
ajst-15577	208	44	and	and	CCONJ
ajst-15577	208	45	accuracy	accuracy	NOUN
ajst-15577	208	46	.	.	PUNCT
ajst-15577	209	1	the	the	DET
ajst-15577	209	2	experimental	experimental	ADJ
ajst-15577	209	3	analysis	analysis	NOUN
ajst-15577	209	4	shows	show	VERB
ajst-15577	209	5	that	that	SCONJ
ajst-15577	209	6	the	the	DET
ajst-15577	209	7	method	method	NOUN
ajst-15577	209	8	proposed	propose	VERB
ajst-15577	209	9	in	in	ADP
ajst-15577	209	10	this	this	DET
ajst-15577	209	11	paper	paper	NOUN
ajst-15577	209	12	can	can	AUX
ajst-15577	209	13	effectively	effectively	ADV
ajst-15577	209	14	identify	identify	VERB
ajst-15577	209	15	the	the	DET
ajst-15577	209	16	normal	normal	ADJ
ajst-15577	209	17	and	and	CCONJ
ajst-15577	209	18	abnormal	abnormal	ADJ
ajst-15577	209	19	operating	operating	NOUN
ajst-15577	209	20	states	state	NOUN
ajst-15577	209	21	of	of	ADP
ajst-15577	209	22	the	the	DET
ajst-15577	209	23	pump	pump	NOUN
ajst-15577	209	24	based	base	VERB
ajst-15577	209	25	on	on	ADP
ajst-15577	209	26	the	the	DET
ajst-15577	209	27	pump	pump	NOUN
ajst-15577	209	28	operating	operate	VERB
ajst-15577	209	29	sound	sound	NOUN
ajst-15577	209	30	.	.	PUNCT
ajst-15577	210	1	compared	compare	VERB
ajst-15577	210	2	with	with	ADP
ajst-15577	210	3	other	other	ADJ
ajst-15577	210	4	fault	fault	NOUN
ajst-15577	210	5	diagnosis	diagnosis	NOUN
ajst-15577	210	6	methods	method	NOUN
ajst-15577	210	7	,	,	PUNCT
ajst-15577	210	8	the	the	DET
ajst-15577	210	9	effectiveness	effectiveness	NOUN
ajst-15577	210	10	of	of	ADP
ajst-15577	210	11	the	the	DET
ajst-15577	210	12	proposed	propose	VERB
ajst-15577	210	13	method	method	NOUN
ajst-15577	210	14	in	in	ADP
ajst-15577	210	15	this	this	DET
ajst-15577	210	16	study	study	NOUN
ajst-15577	210	17	is	be	AUX
ajst-15577	210	18	better	well	ADJ
ajst-15577	210	19	in	in	ADP
ajst-15577	210	20	pump	pump	NOUN
ajst-15577	210	21	fault	fault	NOUN
ajst-15577	210	22	detection	detection	NOUN
ajst-15577	210	23	.	.	PUNCT
ajst-15577	211	1	references	reference	NOUN
ajst-15577	211	2	[	[	X
ajst-15577	211	3	1	1	X
ajst-15577	211	4	]	]	X
ajst-15577	211	5	omar	omar	PROPN
ajst-15577	211	6	a	a	PROPN
ajst-15577	211	7	,	,	PUNCT
ajst-15577	211	8	fahad	fahad	VERB
ajst-15577	211	9	a	a	PRON
ajst-15577	211	10	,	,	PUNCT
ajst-15577	211	11	mahmoud	mahmoud	PROPN
ajst-15577	211	12	m	m	PROPN
ajst-15577	211	13	,	,	PUNCT
ajst-15577	211	14	et	et	NOUN
ajst-15577	211	15	al.sounds	al.sound	NOUN
ajst-15577	211	16	and	and	CCONJ
ajst-15577	211	17	acoustic	acoustic	ADJ
ajst-15577	211	18	emission	emission	NOUN
ajst-15577	211	19	-	-	PUNCT
ajst-15577	211	20	based	base	VERB
ajst-15577	211	21	early	early	ADJ
ajst-15577	211	22	fault	fault	NOUN
ajst-15577	211	23	diagnosis	diagnosis	NOUN
ajst-15577	211	24	of	of	ADP
ajst-15577	211	25	induction	induction	NOUN
ajst-15577	211	26	motor	motor	NOUN
ajst-15577	211	27	:	:	PUNCT
ajst-15577	211	28	a	a	DET
ajst-15577	211	29	review	review	NOUN
ajst-15577	211	30	study	study	NOUN
ajst-15577	211	31	[	[	X
ajst-15577	211	32	j	j	X
ajst-15577	211	33	]	]	X
ajst-15577	211	34	.	.	PUNCT
ajst-15577	212	1	advances	advance	NOUN
ajst-15577	212	2	in	in	ADP
ajst-15577	212	3	mechanical	mechanical	ADJ
ajst-15577	212	4	engineering	engineering	NOUN
ajst-15577	212	5	,	,	PUNCT
ajst-15577	212	6	2021,13(2):1687814021996915	2021,13(2):1687814021996915	NUM
ajst-15577	212	7	-	-	PUNCT
ajst-15577	212	8	1687814021996915	1687814021996915	NUM
ajst-15577	212	9	.	.	PUNCT
ajst-15577	213	1	97	97	NUM
ajst-15577	214	1	[	[	SYM
ajst-15577	214	2	2	2	NUM
ajst-15577	214	3	]	]	PUNCT
ajst-15577	214	4	mohamed	mohamed	PROPN
ajst-15577	214	5	n	n	PROPN
ajst-15577	214	6	y	y	PROPN
ajst-15577	214	7	,	,	PUNCT
ajst-15577	214	8	seker	seker	PROPN
ajst-15577	214	9	s	s	PART
ajst-15577	214	10	,	,	PUNCT
ajst-15577	214	11	akinci	akinci	PROPN
ajst-15577	214	12	c	c	PROPN
ajst-15577	214	13	t	t	PROPN
ajst-15577	214	14	.signal	.signal	ADJ
ajst-15577	214	15	processing	processing	NOUN
ajst-15577	214	16	application	application	NOUN
ajst-15577	214	17	based	base	VERB
ajst-15577	214	18	on	on	ADP
ajst-15577	214	19	a	a	DET
ajst-15577	214	20	hybrid	hybrid	ADJ
ajst-15577	214	21	wavelet	wavelet	NOUN
ajst-15577	214	22	transform	transform	NOUN
ajst-15577	214	23	to	to	PART
ajst-15577	214	24	fault	fault	VERB
ajst-15577	214	25	detection	detection	NOUN
ajst-15577	214	26	and	and	CCONJ
ajst-15577	214	27	identification	identification	NOUN
ajst-15577	214	28	in	in	ADP
ajst-15577	214	29	power	power	NOUN
ajst-15577	214	30	system	system	NOUN
ajst-15577	215	1	[	[	X
ajst-15577	215	2	j	j	X
ajst-15577	215	3	]	]	X
ajst-15577	215	4	.	.	PUNCT
ajst-15577	216	1	information	information	NOUN
ajst-15577	216	2	,	,	PUNCT
ajst-15577	216	3	2023	2023	NUM
ajst-15577	216	4	,	,	PUNCT
ajst-15577	216	5	14(10	14(10	NUM
ajst-15577	216	6	):	):	PUNCT
ajst-15577	216	7	[	[	X
ajst-15577	216	8	3	3	X
ajst-15577	216	9	]	]	X
ajst-15577	216	10	liu	liu	PROPN
ajst-15577	216	11	j	j	PROPN
ajst-15577	216	12	,	,	PUNCT
ajst-15577	216	13	gu	gu	PROPN
ajst-15577	216	14	l	l	PROPN
ajst-15577	216	15	,	,	PUNCT
ajst-15577	216	16	geng	geng	PROPN
ajst-15577	216	17	b	b	PROPN
ajst-15577	217	1	.a	.a	ADJ
ajst-15577	217	2	practical	practical	ADJ
ajst-15577	217	3	signal	signal	NOUN
ajst-15577	217	4	processing	processing	NOUN
ajst-15577	217	5	approach	approach	NOUN
ajst-15577	217	6	for	for	ADP
ajst-15577	217	7	fault	fault	NOUN
ajst-15577	217	8	detection	detection	NOUN
ajst-15577	217	9	of	of	ADP
ajst-15577	217	10	axial	axial	ADJ
ajst-15577	217	11	piston	piston	NOUN
ajst-15577	217	12	pumps	pump	NOUN
ajst-15577	217	13	using	use	VERB
ajst-15577	217	14	instantaneous	instantaneous	ADJ
ajst-15577	217	15	angular	angular	ADJ
ajst-15577	217	16	speed[j].proceedings	speed[j].proceeding	NOUN
ajst-15577	217	17	of	of	ADP
ajst-15577	217	18	the	the	DET
ajst-15577	217	19	institution	institution	NOUN
ajst-15577	217	20	of	of	ADP
ajst-15577	217	21	mechanical	mechanical	ADJ
ajst-15577	217	22	engineers	engineer	NOUN
ajst-15577	217	23	,	,	PUNCT
ajst-15577	217	24	part	part	NOUN
ajst-15577	217	25	c	c	NOUN
ajst-15577	217	26	:	:	PUNCT
ajst-15577	217	27	journal	journal	NOUN
ajst-15577	217	28	of	of	ADP
ajst-15577	217	29	mechanical	mechanical	ADJ
ajst-15577	217	30	engineering	engineering	NOUN
ajst-15577	217	31	science,2020,234(19):3935	science,2020,234(19):3935	NOUN
ajst-15577	217	32	-	-	PUNCT
ajst-15577	217	33	3947	3947	NUM
ajst-15577	217	34	.	.	PUNCT
ajst-15577	218	1	[	[	X
ajst-15577	218	2	4	4	NUM
ajst-15577	218	3	]	]	PUNCT
ajst-15577	218	4	park	park	NOUN
ajst-15577	218	5	y	y	PROPN
ajst-15577	218	6	j	j	PROPN
ajst-15577	218	7	,	,	PUNCT
ajst-15577	218	8	fan	fan	PROPN
ajst-15577	218	9	s	s	PART
ajst-15577	218	10	k	k	PROPN
ajst-15577	218	11	s	s	PROPN
ajst-15577	218	12	,	,	PUNCT
ajst-15577	218	13	hsu	hsu	PROPN
ajst-15577	218	14	c	c	PROPN
ajst-15577	218	15	y.	y.	PROPN
ajst-15577	218	16	a	a	DET
ajst-15577	218	17	review	review	NOUN
ajst-15577	218	18	on	on	ADP
ajst-15577	218	19	fault	fault	NOUN
ajst-15577	218	20	detection	detection	NOUN
ajst-15577	218	21	and	and	CCONJ
ajst-15577	218	22	process	process	NOUN
ajst-15577	218	23	diagnostics	diagnostic	NOUN
ajst-15577	218	24	in	in	ADP
ajst-15577	218	25	industrial	industrial	ADJ
ajst-15577	218	26	processes[j	processes[j	PROPN
ajst-15577	218	27	]	]	PUNCT
ajst-15577	218	28	.	.	PUNCT
ajst-15577	219	1	processes	process	NOUN
ajst-15577	219	2	,	,	PUNCT
ajst-15577	219	3	2020	2020	NUM
ajst-15577	219	4	,	,	PUNCT
ajst-15577	219	5	8(9	8(9	NUM
ajst-15577	219	6	):	):	PUNCT
ajst-15577	219	7	1123	1123	NUM
ajst-15577	219	8	.	.	PUNCT
ajst-15577	220	1	[	[	X
ajst-15577	220	2	5	5	X
ajst-15577	220	3	]	]	X
ajst-15577	220	4	liu	liu	PROPN
ajst-15577	220	5	x	x	PROPN
ajst-15577	220	6	,	,	PUNCT
ajst-15577	220	7	mou	mou	PROPN
ajst-15577	220	8	j	j	PROPN
ajst-15577	220	9	,	,	PUNCT
ajst-15577	220	10	xu	xu	PROPN
ajst-15577	220	11	x	x	PROPN
ajst-15577	220	12	,	,	PUNCT
ajst-15577	220	13	et	et	PROPN
ajst-15577	220	14	al	al	PROPN
ajst-15577	220	15	.	.	PUNCT
ajst-15577	221	1	a	a	DET
ajst-15577	221	2	review	review	NOUN
ajst-15577	221	3	of	of	ADP
ajst-15577	221	4	pump	pump	NOUN
ajst-15577	221	5	cavitation	cavitation	NOUN
ajst-15577	221	6	fault	fault	NOUN
ajst-15577	221	7	detection	detection	NOUN
ajst-15577	221	8	methods	method	NOUN
ajst-15577	221	9	based	base	VERB
ajst-15577	221	10	on	on	ADP
ajst-15577	221	11	different	different	ADJ
ajst-15577	221	12	signals[j	signals[j	PROPN
ajst-15577	221	13	]	]	PUNCT
ajst-15577	221	14	.	.	PUNCT
ajst-15577	222	1	processes	process	NOUN
ajst-15577	222	2	,	,	PUNCT
ajst-15577	222	3	2023	2023	NUM
ajst-15577	222	4	,	,	PUNCT
ajst-15577	222	5	11(7	11(7	NUM
ajst-15577	222	6	):	):	PUNCT
ajst-15577	222	7	2007	2007	NUM
ajst-15577	222	8	.	.	PUNCT
ajst-15577	223	1	[	[	X
ajst-15577	223	2	6	6	NUM
ajst-15577	223	3	]	]	PUNCT
ajst-15577	223	4	cen	cen	PROPN
ajst-15577	223	5	j	j	PROPN
ajst-15577	223	6	,	,	PUNCT
ajst-15577	223	7	yang	yang	PROPN
ajst-15577	223	8	z	z	PROPN
ajst-15577	223	9	,	,	PUNCT
ajst-15577	223	10	liu	liu	PROPN
ajst-15577	223	11	x	x	PROPN
ajst-15577	223	12	,	,	PUNCT
ajst-15577	223	13	et	et	PROPN
ajst-15577	223	14	al	al	PROPN
ajst-15577	223	15	.	.	PUNCT
ajst-15577	224	1	a	a	DET
ajst-15577	224	2	review	review	NOUN
ajst-15577	224	3	of	of	ADP
ajst-15577	224	4	data	data	NOUN
ajst-15577	224	5	-	-	PUNCT
ajst-15577	224	6	driven	drive	VERB
ajst-15577	224	7	machinery	machinery	NOUN
ajst-15577	224	8	fault	fault	NOUN
ajst-15577	224	9	diagnosis	diagnosis	NOUN
ajst-15577	224	10	using	use	VERB
ajst-15577	224	11	machine	machine	NOUN
ajst-15577	224	12	learning	learn	VERB
ajst-15577	224	13	algorithms[j	algorithms[j	PROPN
ajst-15577	224	14	]	]	PUNCT
ajst-15577	224	15	.	.	PUNCT
ajst-15577	225	1	journal	journal	PROPN
ajst-15577	225	2	of	of	ADP
ajst-15577	225	3	vibration	vibration	NOUN
ajst-15577	225	4	engineering	engineering	NOUN
ajst-15577	225	5	&	&	CCONJ
ajst-15577	225	6	technologies	technology	NOUN
ajst-15577	225	7	,	,	PUNCT
ajst-15577	225	8	2022	2022	NUM
ajst-15577	225	9	,	,	PUNCT
ajst-15577	225	10	10(7	10(7	NUM
ajst-15577	225	11	):	):	PUNCT
ajst-15577	225	12	24812507	24812507	NUM
ajst-15577	225	13	.	.	PUNCT
ajst-15577	226	1	[	[	X
ajst-15577	226	2	7	7	X
ajst-15577	226	3	]	]	X
ajst-15577	226	4	lei	lei	PROPN
ajst-15577	226	5	y	y	PROPN
ajst-15577	226	6	,	,	PUNCT
ajst-15577	226	7	yang	yang	PROPN
ajst-15577	226	8	b	b	PROPN
ajst-15577	226	9	,	,	PUNCT
ajst-15577	226	10	jiang	jiang	PROPN
ajst-15577	226	11	x	x	PROPN
ajst-15577	226	12	,	,	PUNCT
ajst-15577	226	13	et	et	PROPN
ajst-15577	226	14	al	al	PROPN
ajst-15577	226	15	.	.	PUNCT
ajst-15577	226	16	applications	application	NOUN
ajst-15577	226	17	of	of	ADP
ajst-15577	226	18	machine	machine	NOUN
ajst-15577	226	19	learning	learn	VERB
ajst-15577	226	20	to	to	PART
ajst-15577	226	21	machine	machine	VERB
ajst-15577	226	22	fault	fault	NOUN
ajst-15577	226	23	diagnosis	diagnosis	NOUN
ajst-15577	226	24	:	:	PUNCT
ajst-15577	226	25	a	a	DET
ajst-15577	226	26	review	review	NOUN
ajst-15577	226	27	and	and	CCONJ
ajst-15577	226	28	roadmap[j	roadmap[j	NOUN
ajst-15577	226	29	]	]	PUNCT
ajst-15577	226	30	.	.	PUNCT
ajst-15577	227	1	mechanical	mechanical	ADJ
ajst-15577	227	2	systems	system	NOUN
ajst-15577	227	3	and	and	CCONJ
ajst-15577	227	4	signal	signal	NOUN
ajst-15577	227	5	processing	processing	NOUN
ajst-15577	227	6	,	,	PUNCT
ajst-15577	227	7	2020	2020	NUM
ajst-15577	227	8	,	,	PUNCT
ajst-15577	227	9	138	138	NUM
ajst-15577	227	10	:	:	SYM
ajst-15577	227	11	106587	106587	NUM
ajst-15577	227	12	.	.	PUNCT
ajst-15577	228	1	[	[	X
ajst-15577	228	2	8	8	NUM
ajst-15577	228	3	]	]	X
ajst-15577	228	4	manikandan	manikandan	PROPN
ajst-15577	228	5	s	s	PROPN
ajst-15577	228	6	,	,	PUNCT
ajst-15577	228	7	duraivelu	duraivelu	PROPN
ajst-15577	228	8	k.	k.	PROPN
ajst-15577	228	9	fault	fault	VERB
ajst-15577	228	10	diagnosis	diagnosis	NOUN
ajst-15577	228	11	of	of	ADP
ajst-15577	228	12	various	various	ADJ
ajst-15577	228	13	rotating	rotate	VERB
ajst-15577	228	14	equipment	equipment	NOUN
ajst-15577	228	15	using	use	VERB
ajst-15577	228	16	machine	machine	NOUN
ajst-15577	228	17	learning	learning	NOUN
ajst-15577	228	18	approaches	approach	NOUN
ajst-15577	228	19	–	–	PUNCT
ajst-15577	228	20	a	a	DET
ajst-15577	228	21	review[j	review[j	NOUN
ajst-15577	228	22	]	]	PUNCT
ajst-15577	228	23	.	.	PUNCT
ajst-15577	229	1	proceedings	proceeding	NOUN
ajst-15577	229	2	of	of	ADP
ajst-15577	229	3	the	the	DET
ajst-15577	229	4	institution	institution	NOUN
ajst-15577	229	5	of	of	ADP
ajst-15577	229	6	mechanical	mechanical	ADJ
ajst-15577	229	7	engineers	engineer	NOUN
ajst-15577	229	8	,	,	PUNCT
ajst-15577	229	9	part	part	NOUN
ajst-15577	229	10	e	e	NOUN
ajst-15577	229	11	:	:	PUNCT
ajst-15577	229	12	journal	journal	NOUN
ajst-15577	229	13	of	of	ADP
ajst-15577	229	14	process	process	NOUN
ajst-15577	229	15	mechanical	mechanical	ADJ
ajst-15577	229	16	engineering	engineering	NOUN
ajst-15577	229	17	,	,	PUNCT
ajst-15577	229	18	2021	2021	NUM
ajst-15577	229	19	,	,	PUNCT
ajst-15577	229	20	235(2	235(2	NUM
ajst-15577	229	21	):	):	PUNCT
ajst-15577	229	22	629642	629642	NUM
ajst-15577	229	23	.	.	PUNCT
ajst-15577	230	1	[	[	X
ajst-15577	230	2	9	9	NUM
ajst-15577	230	3	]	]	X
ajst-15577	230	4	zhou	zhou	PROPN
ajst-15577	230	5	f	f	PROPN
ajst-15577	230	6	,	,	PUNCT
ajst-15577	230	7	liu	liu	PROPN
ajst-15577	230	8	w	w	PROPN
ajst-15577	230	9	,	,	PUNCT
ajst-15577	230	10	yang	yang	PROPN
ajst-15577	230	11	x	x	PROPN
ajst-15577	230	12	,	,	PUNCT
ajst-15577	230	13	et	et	PROPN
ajst-15577	230	14	al	al	PROPN
ajst-15577	230	15	.	.	PUNCT
ajst-15577	231	1	a	a	DET
ajst-15577	231	2	new	new	ADJ
ajst-15577	231	3	method	method	NOUN
ajst-15577	231	4	of	of	ADP
ajst-15577	231	5	health	health	NOUN
ajst-15577	231	6	condition	condition	NOUN
ajst-15577	231	7	detection	detection	NOUN
ajst-15577	231	8	for	for	ADP
ajst-15577	231	9	hydraulic	hydraulic	ADJ
ajst-15577	231	10	pump	pump	NOUN
ajst-15577	231	11	using	use	VERB
ajst-15577	231	12	enhanced	enhance	VERB
ajst-15577	231	13	whale	whale	NOUN
ajst-15577	231	14	optimization	optimization	NOUN
ajst-15577	231	15	-	-	PUNCT
ajst-15577	231	16	resonance	resonance	NOUN
ajst-15577	231	17	-	-	PUNCT
ajst-15577	231	18	based	base	VERB
ajst-15577	231	19	sparse	sparse	ADJ
ajst-15577	231	20	signal	signal	NOUN
ajst-15577	231	21	decomposition	decomposition	NOUN
ajst-15577	231	22	and	and	CCONJ
ajst-15577	231	23	modified	modify	VERB
ajst-15577	231	24	hierarchical	hierarchical	ADJ
ajst-15577	231	25	amplitude	amplitude	NOUN
ajst-15577	231	26	-	-	PUNCT
ajst-15577	231	27	aware	aware	ADJ
ajst-15577	231	28	permutation	permutation	NOUN
ajst-15577	231	29	entropy[j	entropy[j	PROPN
ajst-15577	231	30	]	]	PUNCT
ajst-15577	231	31	.	.	PUNCT
ajst-15577	232	1	transactions	transaction	NOUN
ajst-15577	232	2	of	of	ADP
ajst-15577	232	3	the	the	DET
ajst-15577	232	4	institute	institute	PROPN
ajst-15577	232	5	of	of	ADP
ajst-15577	232	6	measurement	measurement	NOUN
ajst-15577	232	7	and	and	CCONJ
ajst-15577	232	8	control	control	NOUN
ajst-15577	232	9	,	,	PUNCT
ajst-15577	232	10	2021	2021	NUM
ajst-15577	232	11	,	,	PUNCT
ajst-15577	232	12	43(15	43(15	PROPN
ajst-15577	232	13	):	):	PUNCT
ajst-15577	232	14	3360	3360	NUM
ajst-15577	232	15	-	-	SYM
ajst-15577	232	16	3376	3376	NUM
ajst-15577	232	17	.	.	PUNCT
ajst-15577	233	1	[	[	X
ajst-15577	233	2	10	10	NUM
ajst-15577	233	3	]	]	X
ajst-15577	233	4	pei	pei	PROPN
ajst-15577	233	5	x	x	PROPN
ajst-15577	233	6	,	,	PUNCT
ajst-15577	233	7	su	su	PROPN
ajst-15577	233	8	s	s	PROPN
ajst-15577	233	9	,	,	PUNCT
ajst-15577	233	10	jiang	jiang	PROPN
ajst-15577	233	11	l	l	PROPN
ajst-15577	233	12	,	,	PUNCT
ajst-15577	233	13	et	et	PROPN
ajst-15577	233	14	al	al	PROPN
ajst-15577	233	15	.	.	PROPN
ajst-15577	233	16	research	research	NOUN
ajst-15577	233	17	on	on	ADP
ajst-15577	233	18	rolling	roll	VERB
ajst-15577	233	19	bearing	bear	VERB
ajst-15577	233	20	fault	fault	NOUN
ajst-15577	233	21	diagnosis	diagnosis	NOUN
ajst-15577	233	22	method	method	NOUN
ajst-15577	233	23	based	base	VERB
ajst-15577	233	24	on	on	ADP
ajst-15577	233	25	generative	generative	ADJ
ajst-15577	233	26	adversarial	adversarial	ADJ
ajst-15577	233	27	and	and	CCONJ
ajst-15577	233	28	transfer	transfer	NOUN
ajst-15577	233	29	learning[j	learning[j	NOUN
ajst-15577	233	30	]	]	PUNCT
ajst-15577	233	31	.	.	PUNCT
ajst-15577	234	1	processes	process	NOUN
ajst-15577	234	2	,	,	PUNCT
ajst-15577	234	3	2022	2022	NUM
ajst-15577	234	4	,	,	PUNCT
ajst-15577	234	5	10(8	10(8	NUM
ajst-15577	234	6	):	):	PUNCT
ajst-15577	234	7	1443	1443	NUM
ajst-15577	234	8	.	.	PUNCT
ajst-15577	235	1	[	[	X
ajst-15577	235	2	11	11	NUM
ajst-15577	235	3	]	]	X
ajst-15577	235	4	purohit	purohit	PROPN
ajst-15577	235	5	h	h	PROPN
ajst-15577	235	6	,	,	PUNCT
ajst-15577	235	7	tanabe	tanabe	PROPN
ajst-15577	235	8	r	r	PROPN
ajst-15577	235	9	,	,	PUNCT
ajst-15577	235	10	ichige	ichige	ADJ
ajst-15577	235	11	k	k	NOUN
ajst-15577	235	12	,	,	PUNCT
ajst-15577	235	13	et	et	PROPN
ajst-15577	235	14	al	al	PROPN
ajst-15577	235	15	.	.	PROPN
ajst-15577	235	16	mimii	mimii	PROPN
ajst-15577	235	17	dataset	dataset	PROPN
ajst-15577	235	18	:	:	PUNCT
ajst-15577	235	19	sound	sound	NOUN
ajst-15577	235	20	dataset	dataset	VERB
ajst-15577	235	21	for	for	ADP
ajst-15577	235	22	malfunctioning	malfunction	VERB
ajst-15577	235	23	industrial	industrial	ADJ
ajst-15577	235	24	machine	machine	NOUN
ajst-15577	235	25	investigation	investigation	NOUN
ajst-15577	235	26	and	and	CCONJ
ajst-15577	235	27	inspection[j	inspection[j	NOUN
ajst-15577	235	28	]	]	PUNCT
ajst-15577	235	29	.	.	PUNCT
ajst-15577	236	1	ar**v	ar**v	NOUN
ajst-15577	236	2	preprint	preprint	PROPN
ajst-15577	236	3	ar**v:1909.09347	ar**v:1909.09347	PROPN
ajst-15577	236	4	,	,	PUNCT
ajst-15577	236	5	2019	2019	NUM
ajst-15577	236	6	.	.	PUNCT
ajst-15577	237	1	[	[	X
ajst-15577	237	2	12	12	NUM
ajst-15577	237	3	]	]	PUNCT
ajst-15577	237	4	he	he	PRON
ajst-15577	237	5	k	k	PROPN
ajst-15577	237	6	,	,	PUNCT
ajst-15577	237	7	zhang	zhang	PROPN
ajst-15577	237	8	x	x	PROPN
ajst-15577	237	9	,	,	PUNCT
ajst-15577	237	10	ren	ren	PROPN
ajst-15577	237	11	s	s	PROPN
ajst-15577	237	12	,	,	PUNCT
ajst-15577	237	13	et	et	PROPN
ajst-15577	237	14	al	al	PROPN
ajst-15577	237	15	.	.	PUNCT
ajst-15577	238	1	deep	deep	ADJ
ajst-15577	238	2	residual	residual	ADJ
ajst-15577	238	3	learning	learning	NOUN
ajst-15577	238	4	for	for	ADP
ajst-15577	238	5	image	image	NOUN
ajst-15577	238	6	recognition[c]//proceedings	recognition[c]//proceeding	NOUN
ajst-15577	238	7	of	of	ADP
ajst-15577	238	8	the	the	DET
ajst-15577	238	9	ieee	ieee	NOUN
ajst-15577	238	10	conference	conference	NOUN
ajst-15577	238	11	on	on	ADP
ajst-15577	238	12	computer	computer	NOUN
ajst-15577	238	13	vision	vision	NOUN
ajst-15577	238	14	and	and	CCONJ
ajst-15577	238	15	pattern	pattern	NOUN
ajst-15577	238	16	recognition	recognition	NOUN
ajst-15577	238	17	.	.	PUNCT
ajst-15577	239	1	2016	2016	NUM
ajst-15577	239	2	:	:	PUNCT
ajst-15577	240	1	770	770	NUM
ajst-15577	240	2	-	-	SYM
ajst-15577	240	3	778	778	NUM
ajst-15577	240	4	.	.	PUNCT
ajst-15577	241	1	[	[	X
ajst-15577	241	2	13	13	NUM
ajst-15577	241	3	]	]	PUNCT
ajst-15577	241	4	szegedy	szegedy	VERB
ajst-15577	241	5	c	c	PROPN
ajst-15577	241	6	,	,	PUNCT
ajst-15577	241	7	liu	liu	PROPN
ajst-15577	241	8	w	w	PROPN
ajst-15577	241	9	,	,	PUNCT
ajst-15577	241	10	jia	jia	PROPN
ajst-15577	241	11	y	y	PROPN
ajst-15577	241	12	,	,	PUNCT
ajst-15577	241	13	et	et	PROPN
ajst-15577	241	14	al	al	PROPN
ajst-15577	241	15	.	.	PUNCT
ajst-15577	242	1	going	go	VERB
ajst-15577	242	2	deeper	deeply	ADV
ajst-15577	242	3	with	with	ADP
ajst-15577	242	4	convolutions[c]//proceedings	convolutions[c]//proceeding	NOUN
ajst-15577	242	5	of	of	ADP
ajst-15577	242	6	the	the	DET
ajst-15577	242	7	ieee	ieee	NOUN
ajst-15577	242	8	conference	conference	NOUN
ajst-15577	242	9	on	on	ADP
ajst-15577	242	10	computer	computer	NOUN
ajst-15577	242	11	vision	vision	NOUN
ajst-15577	242	12	and	and	CCONJ
ajst-15577	242	13	pattern	pattern	NOUN
ajst-15577	242	14	recognition	recognition	NOUN
ajst-15577	242	15	.	.	PUNCT
ajst-15577	243	1	2015	2015	NUM
ajst-15577	243	2	:	:	PUNCT
ajst-15577	243	3	1	1	NUM
ajst-15577	243	4	-	-	SYM
ajst-15577	243	5	9	9	NUM
ajst-15577	243	6	.	.	PUNCT