id	sid	tid	token	lemma	pos
fcis-22628	1	1	frontiers	frontier	NOUN
fcis-22628	1	2	in	in	ADP
fcis-22628	1	3	computing	computing	NOUN
fcis-22628	1	4	and	and	CCONJ
fcis-22628	1	5	intelligent	intelligent	ADJ
fcis-22628	1	6	systems	system	NOUN
fcis-22628	1	7	issn	issn	VERB
fcis-22628	1	8	:	:	PUNCT
fcis-22628	1	9	2832	2832	NUM
fcis-22628	1	10	-	-	SYM
fcis-22628	1	11	6024	6024	NUM
fcis-22628	1	12	|	|	NOUN
fcis-22628	1	13	vol	vol	NOUN
fcis-22628	1	14	.	.	PROPN
fcis-22628	2	1	8	8	NUM
fcis-22628	2	2	,	,	PUNCT
fcis-22628	2	3	no	no	INTJ
fcis-22628	2	4	.	.	NOUN
fcis-22628	2	5	3	3	NUM
fcis-22628	2	6	,	,	PUNCT
fcis-22628	2	7	2024	2024	NUM
fcis-22628	2	8	65	65	NUM
fcis-22628	2	9	research	research	NOUN
fcis-22628	2	10	on	on	ADP
fcis-22628	2	11	big	big	ADJ
fcis-22628	2	12	data	datum	NOUN
fcis-22628	2	13	intelligent	intelligent	ADJ
fcis-22628	2	14	system	system	NOUN
fcis-22628	2	15	for	for	ADP
fcis-22628	2	16	fault	fault	NOUN
fcis-22628	2	17	diagnosis	diagnosis	NOUN
fcis-22628	2	18	of	of	ADP
fcis-22628	2	19	computer	computer	NOUN
fcis-22628	2	20	aided	aid	VERB
fcis-22628	2	21	ship	ship	NOUN
fcis-22628	2	22	power	power	NOUN
fcis-22628	2	23	system	system	NOUN
fcis-22628	2	24	ning	ning	PROPN
fcis-22628	2	25	wang	wang	PROPN
fcis-22628	2	26	1	1	NUM
fcis-22628	2	27	,	,	PUNCT
fcis-22628	2	28	xiaojun	xiaojun	PROPN
fcis-22628	2	29	hou	hou	PROPN
fcis-22628	2	30	2	2	NUM
fcis-22628	2	31	,	,	PUNCT
fcis-22628	2	32	jikun	jikun	PROPN
fcis-22628	2	33	ma	ma	PROPN
fcis-22628	2	34	3	3	NUM
fcis-22628	2	35	,	,	PUNCT
fcis-22628	2	36	bingbing	bingbing	PROPN
fcis-22628	2	37	yuan	yuan	NOUN
fcis-22628	2	38	1	1	NUM
fcis-22628	2	39	,	,	PUNCT
fcis-22628	2	40	fuyan	fuyan	NOUN
fcis-22628	2	41	xin	xin	PROPN
fcis-22628	2	42	1	1	NUM
fcis-22628	2	43	,	,	PUNCT
fcis-22628	2	44	a	a	DET
fcis-22628	2	45	1	1	NUM
fcis-22628	2	46	yellow	yellow	NOUN
fcis-22628	2	47	sea	sea	NOUN
fcis-22628	2	48	fisheries	fishery	NOUN
fcis-22628	2	49	research	research	PROPN
fcis-22628	2	50	institute	institute	PROPN
fcis-22628	2	51	,	,	PUNCT
fcis-22628	2	52	qingdao	qingdao	PROPN
fcis-22628	2	53	,	,	PUNCT
fcis-22628	2	54	shandong	shandong	PROPN
fcis-22628	2	55	266071	266071	NUM
fcis-22628	2	56	,	,	PUNCT
fcis-22628	2	57	china	china	PROPN
fcis-22628	2	58	2	2	NUM
fcis-22628	2	59	china	china	PROPN
fcis-22628	2	60	ship	ship	NOUN
fcis-22628	2	61	scientific	scientific	ADJ
fcis-22628	2	62	research	research	NOUN
fcis-22628	2	63	center	center	NOUN
fcis-22628	2	64	,	,	PUNCT
fcis-22628	2	65	qingdao	qingdao	PROPN
fcis-22628	2	66	,	,	PUNCT
fcis-22628	2	67	shandong	shandong	PROPN
fcis-22628	2	68	,	,	PUNCT
fcis-22628	2	69	china	china	PROPN
fcis-22628	2	70	3	3	PROPN
fcis-22628	2	71	sanya	sanya	PROPN
fcis-22628	2	72	yazhou	yazhou	PROPN
fcis-22628	2	73	bay	bay	PROPN
fcis-22628	2	74	technology	technology	PROPN
fcis-22628	2	75	city	city	PROPN
fcis-22628	2	76	development	development	NOUN
fcis-22628	2	77	and	and	CCONJ
fcis-22628	2	78	construction	construction	PROPN
fcis-22628	2	79	co.	co.	PROPN
fcis-22628	2	80	,	,	PUNCT
fcis-22628	2	81	ltd	ltd	PROPN
fcis-22628	2	82	,	,	PUNCT
fcis-22628	2	83	sanya	sanya	PROPN
fcis-22628	2	84	,	,	PUNCT
fcis-22628	2	85	hainan	hainan	PROPN
fcis-22628	2	86	,	,	PUNCT
fcis-22628	2	87	572000	572000	NUM
fcis-22628	2	88	,	,	PUNCT
fcis-22628	2	89	china	china	PROPN
fcis-22628	2	90	a	a	DET
fcis-22628	2	91	xinfy@ysfri.ac.cn	xinfy@ysfri.ac.cn	PROPN
fcis-22628	2	92	abstract	abstract	NOUN
fcis-22628	2	93	:	:	PUNCT
fcis-22628	2	94	this	this	DET
fcis-22628	2	95	paper	paper	NOUN
fcis-22628	2	96	aims	aim	VERB
fcis-22628	2	97	to	to	PART
fcis-22628	2	98	build	build	VERB
fcis-22628	2	99	a	a	DET
fcis-22628	2	100	new	new	ADJ
fcis-22628	2	101	fault	fault	NOUN
fcis-22628	2	102	diagnosis	diagnosis	NOUN
fcis-22628	2	103	system	system	NOUN
fcis-22628	2	104	based	base	VERB
fcis-22628	2	105	on	on	ADP
fcis-22628	2	106	big	big	ADJ
fcis-22628	2	107	data	datum	NOUN
fcis-22628	2	108	and	and	CCONJ
fcis-22628	2	109	artificial	artificial	ADJ
fcis-22628	2	110	intelligence	intelligence	NOUN
fcis-22628	2	111	technology	technology	NOUN
fcis-22628	2	112	.	.	PUNCT
fcis-22628	3	1	this	this	DET
fcis-22628	3	2	study	study	NOUN
fcis-22628	3	3	first	first	ADV
fcis-22628	3	4	expounds	expound	VERB
fcis-22628	3	5	the	the	DET
fcis-22628	3	6	application	application	NOUN
fcis-22628	3	7	value	value	NOUN
fcis-22628	3	8	and	and	CCONJ
fcis-22628	3	9	prospect	prospect	NOUN
fcis-22628	3	10	of	of	ADP
fcis-22628	3	11	big	big	ADJ
fcis-22628	3	12	data	datum	NOUN
fcis-22628	3	13	technology	technology	NOUN
fcis-22628	3	14	and	and	CCONJ
fcis-22628	3	15	intelligent	intelligent	ADJ
fcis-22628	3	16	algorithm	algorithm	NOUN
fcis-22628	3	17	in	in	ADP
fcis-22628	3	18	the	the	DET
fcis-22628	3	19	fault	fault	NOUN
fcis-22628	3	20	diagnosis	diagnosis	NOUN
fcis-22628	3	21	of	of	ADP
fcis-22628	3	22	ship	ship	NOUN
fcis-22628	3	23	power	power	NOUN
fcis-22628	3	24	system	system	NOUN
fcis-22628	3	25	,	,	PUNCT
fcis-22628	3	26	and	and	CCONJ
fcis-22628	3	27	realizes	realize	VERB
fcis-22628	3	28	the	the	DET
fcis-22628	3	29	effective	effective	ADJ
fcis-22628	3	30	integration	integration	NOUN
fcis-22628	3	31	and	and	CCONJ
fcis-22628	3	32	mining	mining	NOUN
fcis-22628	3	33	of	of	ADP
fcis-22628	3	34	massive	massive	ADJ
fcis-22628	3	35	,	,	PUNCT
fcis-22628	3	36	multi	multi	ADJ
fcis-22628	3	37	-	-	NOUN
fcis-22628	3	38	source	source	NOUN
fcis-22628	3	39	and	and	CCONJ
fcis-22628	3	40	heterogeneous	heterogeneous	ADJ
fcis-22628	3	41	ship	ship	NOUN
fcis-22628	3	42	power	power	NOUN
fcis-22628	3	43	system	system	NOUN
fcis-22628	3	44	operation	operation	NOUN
fcis-22628	3	45	data	datum	NOUN
fcis-22628	3	46	through	through	ADP
fcis-22628	3	47	in	in	ADP
fcis-22628	3	48	-	-	PUNCT
fcis-22628	3	49	depth	depth	NOUN
fcis-22628	3	50	analysis	analysis	NOUN
fcis-22628	3	51	of	of	ADP
fcis-22628	3	52	the	the	DET
fcis-22628	3	53	characteristics	characteristic	NOUN
fcis-22628	3	54	of	of	ADP
fcis-22628	3	55	ship	ship	NOUN
fcis-22628	3	56	power	power	NOUN
fcis-22628	3	57	system	system	NOUN
fcis-22628	3	58	operation	operation	NOUN
fcis-22628	3	59	data	datum	NOUN
fcis-22628	3	60	.	.	PUNCT
fcis-22628	4	1	secondly	secondly	ADV
fcis-22628	4	2	,	,	PUNCT
fcis-22628	4	3	in	in	ADP
fcis-22628	4	4	view	view	NOUN
fcis-22628	4	5	of	of	ADP
fcis-22628	4	6	the	the	DET
fcis-22628	4	7	nonlinear	nonlinear	ADJ
fcis-22628	4	8	and	and	CCONJ
fcis-22628	4	9	time	time	NOUN
fcis-22628	4	10	-	-	PUNCT
fcis-22628	4	11	varying	vary	VERB
fcis-22628	4	12	characteristics	characteristic	NOUN
fcis-22628	4	13	of	of	ADP
fcis-22628	4	14	ship	ship	NOUN
fcis-22628	4	15	power	power	NOUN
fcis-22628	4	16	system	system	NOUN
fcis-22628	4	17	faults	fault	NOUN
fcis-22628	4	18	,	,	PUNCT
fcis-22628	4	19	this	this	DET
fcis-22628	4	20	study	study	NOUN
fcis-22628	4	21	designs	design	NOUN
fcis-22628	4	22	and	and	CCONJ
fcis-22628	4	23	implements	implement	VERB
fcis-22628	4	24	a	a	DET
fcis-22628	4	25	fault	fault	NOUN
fcis-22628	4	26	diagnosis	diagnosis	NOUN
fcis-22628	4	27	model	model	NOUN
fcis-22628	4	28	that	that	PRON
fcis-22628	4	29	integrates	integrate	VERB
fcis-22628	4	30	intelligent	intelligent	ADJ
fcis-22628	4	31	algorithms	algorithm	NOUN
fcis-22628	4	32	such	such	ADJ
fcis-22628	4	33	as	as	ADP
fcis-22628	4	34	machine	machine	NOUN
fcis-22628	4	35	learning	learning	NOUN
fcis-22628	4	36	and	and	CCONJ
fcis-22628	4	37	deep	deep	ADJ
fcis-22628	4	38	learning	learning	NOUN
fcis-22628	4	39	.	.	PUNCT
fcis-22628	5	1	the	the	DET
fcis-22628	5	2	model	model	NOUN
fcis-22628	5	3	can	can	AUX
fcis-22628	5	4	automatically	automatically	ADV
fcis-22628	5	5	extract	extract	VERB
fcis-22628	5	6	key	key	ADJ
fcis-22628	5	7	fault	fault	NOUN
fcis-22628	5	8	features	feature	NOUN
fcis-22628	5	9	,	,	PUNCT
fcis-22628	5	10	realize	realize	VERB
fcis-22628	5	11	early	early	ADJ
fcis-22628	5	12	warning	warning	NOUN
fcis-22628	5	13	and	and	CCONJ
fcis-22628	5	14	accurate	accurate	ADJ
fcis-22628	5	15	identification	identification	NOUN
fcis-22628	5	16	of	of	ADP
fcis-22628	5	17	potential	potential	ADJ
fcis-22628	5	18	faults	fault	NOUN
fcis-22628	5	19	,	,	PUNCT
fcis-22628	5	20	and	and	CCONJ
fcis-22628	5	21	improve	improve	VERB
fcis-22628	5	22	the	the	DET
fcis-22628	5	23	accuracy	accuracy	NOUN
fcis-22628	5	24	and	and	CCONJ
fcis-22628	5	25	response	response	NOUN
fcis-22628	5	26	speed	speed	NOUN
fcis-22628	5	27	of	of	ADP
fcis-22628	5	28	fault	fault	NOUN
fcis-22628	5	29	diagnosis	diagnosis	NOUN
fcis-22628	5	30	through	through	ADP
fcis-22628	5	31	continuous	continuous	ADJ
fcis-22628	5	32	learning	learning	NOUN
fcis-22628	5	33	and	and	CCONJ
fcis-22628	5	34	optimization	optimization	NOUN
fcis-22628	5	35	.	.	PUNCT
fcis-22628	6	1	finally	finally	ADV
fcis-22628	6	2	,	,	PUNCT
fcis-22628	6	3	this	this	DET
fcis-22628	6	4	study	study	NOUN
fcis-22628	6	5	applies	apply	VERB
fcis-22628	6	6	the	the	DET
fcis-22628	6	7	big	big	ADJ
fcis-22628	6	8	data	datum	NOUN
fcis-22628	6	9	intelligent	intelligent	ADJ
fcis-22628	6	10	system	system	NOUN
fcis-22628	6	11	for	for	ADP
fcis-22628	6	12	fault	fault	NOUN
fcis-22628	6	13	diagnosis	diagnosis	NOUN
fcis-22628	6	14	of	of	ADP
fcis-22628	6	15	computer	computer	NOUN
fcis-22628	6	16	-	-	PUNCT
fcis-22628	6	17	aided	aid	VERB
fcis-22628	6	18	ship	ship	NOUN
fcis-22628	6	19	power	power	NOUN
fcis-22628	6	20	system	system	NOUN
fcis-22628	6	21	to	to	ADP
fcis-22628	6	22	a	a	DET
fcis-22628	6	23	practical	practical	ADJ
fcis-22628	6	24	case	case	NOUN
fcis-22628	6	25	to	to	PART
fcis-22628	6	26	verify	verify	VERB
fcis-22628	6	27	its	its	PRON
fcis-22628	6	28	effectiveness	effectiveness	NOUN
fcis-22628	6	29	and	and	CCONJ
fcis-22628	6	30	practicability	practicability	NOUN
fcis-22628	6	31	in	in	ADP
fcis-22628	6	32	improving	improve	VERB
fcis-22628	6	33	fault	fault	NOUN
fcis-22628	6	34	diagnosis	diagnosis	NOUN
fcis-22628	6	35	efficiency	efficiency	NOUN
fcis-22628	6	36	,	,	PUNCT
fcis-22628	6	37	reducing	reduce	VERB
fcis-22628	6	38	maintenance	maintenance	NOUN
fcis-22628	6	39	costs	cost	NOUN
fcis-22628	6	40	,	,	PUNCT
fcis-22628	6	41	and	and	CCONJ
fcis-22628	6	42	ensuring	ensure	VERB
fcis-22628	6	43	navigation	navigation	NOUN
fcis-22628	6	44	safety	safety	NOUN
fcis-22628	6	45	.	.	PUNCT
fcis-22628	7	1	the	the	DET
fcis-22628	7	2	research	research	NOUN
fcis-22628	7	3	results	result	NOUN
fcis-22628	7	4	have	have	VERB
fcis-22628	7	5	important	important	ADJ
fcis-22628	7	6	theoretical	theoretical	ADJ
fcis-22628	7	7	significance	significance	NOUN
fcis-22628	7	8	and	and	CCONJ
fcis-22628	7	9	practical	practical	ADJ
fcis-22628	7	10	value	value	NOUN
fcis-22628	7	11	for	for	ADP
fcis-22628	7	12	improving	improve	VERB
fcis-22628	7	13	the	the	DET
fcis-22628	7	14	level	level	NOUN
fcis-22628	7	15	of	of	ADP
fcis-22628	7	16	ship	ship	NOUN
fcis-22628	7	17	operation	operation	NOUN
fcis-22628	7	18	and	and	CCONJ
fcis-22628	7	19	maintenance	maintenance	NOUN
fcis-22628	7	20	management	management	NOUN
fcis-22628	7	21	and	and	CCONJ
fcis-22628	7	22	ensuring	ensure	VERB
fcis-22628	7	23	the	the	DET
fcis-22628	7	24	stable	stable	ADJ
fcis-22628	7	25	operation	operation	NOUN
fcis-22628	7	26	of	of	ADP
fcis-22628	7	27	ship	ship	NOUN
fcis-22628	7	28	power	power	NOUN
fcis-22628	7	29	system	system	NOUN
fcis-22628	7	30	.	.	PUNCT
fcis-22628	8	1	keywords	keyword	NOUN
fcis-22628	8	2	:	:	PUNCT
fcis-22628	8	3	computer	computer	NOUN
fcis-22628	8	4	aided	aid	VERB
fcis-22628	8	5	;	;	PUNCT
fcis-22628	8	6	marine	marine	ADJ
fcis-22628	8	7	power	power	NOUN
fcis-22628	8	8	system	system	NOUN
fcis-22628	8	9	;	;	PUNCT
fcis-22628	8	10	fault	fault	VERB
fcis-22628	8	11	diagnosis	diagnosis	NOUN
fcis-22628	8	12	;	;	PUNCT
fcis-22628	8	13	big	big	ADJ
fcis-22628	8	14	data	datum	NOUN
fcis-22628	8	15	intelligent	intelligent	ADJ
fcis-22628	8	16	system	system	NOUN
fcis-22628	8	17	.	.	PUNCT
fcis-22628	9	1	1	1	X
fcis-22628	9	2	.	.	X
fcis-22628	9	3	introduction	introduction	NOUN
fcis-22628	9	4	with	with	ADP
fcis-22628	9	5	the	the	DET
fcis-22628	9	6	rapid	rapid	ADJ
fcis-22628	9	7	development	development	NOUN
fcis-22628	9	8	of	of	ADP
fcis-22628	9	9	modern	modern	ADJ
fcis-22628	9	10	ship	ship	NOUN
fcis-22628	9	11	technology	technology	NOUN
fcis-22628	9	12	,	,	PUNCT
fcis-22628	9	13	the	the	DET
fcis-22628	9	14	structure	structure	NOUN
fcis-22628	9	15	of	of	ADP
fcis-22628	9	16	ship	ship	NOUN
fcis-22628	9	17	power	power	NOUN
fcis-22628	9	18	system	system	NOUN
fcis-22628	9	19	is	be	AUX
fcis-22628	9	20	becoming	become	VERB
fcis-22628	9	21	more	more	ADV
fcis-22628	9	22	and	and	CCONJ
fcis-22628	9	23	more	more	ADV
fcis-22628	9	24	complex	complex	ADJ
fcis-22628	9	25	,	,	PUNCT
fcis-22628	9	26	which	which	PRON
fcis-22628	9	27	poses	pose	VERB
fcis-22628	9	28	an	an	DET
fcis-22628	9	29	unprecedented	unprecedented	ADJ
fcis-22628	9	30	challenge	challenge	NOUN
fcis-22628	9	31	to	to	ADP
fcis-22628	9	32	the	the	DET
fcis-22628	9	33	accuracy	accuracy	NOUN
fcis-22628	9	34	and	and	CCONJ
fcis-22628	9	35	real	real	ADJ
fcis-22628	9	36	-	-	PUNCT
fcis-22628	9	37	time	time	NOUN
fcis-22628	9	38	fault	fault	NOUN
fcis-22628	9	39	diagnosis	diagnosis	NOUN
fcis-22628	9	40	.	.	PUNCT
fcis-22628	10	1	based	base	VERB
fcis-22628	10	2	on	on	ADP
fcis-22628	10	3	this	this	DET
fcis-22628	10	4	frontier	frontier	NOUN
fcis-22628	10	5	problem	problem	NOUN
fcis-22628	10	6	,	,	PUNCT
fcis-22628	10	7	this	this	DET
fcis-22628	10	8	paper	paper	NOUN
fcis-22628	10	9	is	be	AUX
fcis-22628	10	10	committed	commit	VERB
fcis-22628	10	11	to	to	ADP
fcis-22628	10	12	developing	develop	VERB
fcis-22628	10	13	a	a	DET
fcis-22628	10	14	new	new	ADJ
fcis-22628	10	15	fault	fault	NOUN
fcis-22628	10	16	diagnosis	diagnosis	NOUN
fcis-22628	10	17	system	system	NOUN
fcis-22628	10	18	that	that	PRON
fcis-22628	10	19	deeply	deeply	ADV
fcis-22628	10	20	integrates	integrate	VERB
fcis-22628	10	21	big	big	ADJ
fcis-22628	10	22	data	datum	NOUN
fcis-22628	10	23	technology	technology	NOUN
fcis-22628	10	24	and	and	CCONJ
fcis-22628	10	25	artificial	artificial	ADJ
fcis-22628	10	26	intelligence	intelligence	NOUN
fcis-22628	10	27	algorithm	algorithm	NOUN
fcis-22628	10	28	,	,	PUNCT
fcis-22628	10	29	in	in	ADP
fcis-22628	10	30	order	order	NOUN
fcis-22628	10	31	to	to	PART
fcis-22628	10	32	solve	solve	VERB
fcis-22628	10	33	the	the	DET
fcis-22628	10	34	problems	problem	NOUN
fcis-22628	10	35	existing	exist	VERB
fcis-22628	10	36	in	in	ADP
fcis-22628	10	37	the	the	DET
fcis-22628	10	38	fault	fault	NOUN
fcis-22628	10	39	diagnosis	diagnosis	NOUN
fcis-22628	10	40	of	of	ADP
fcis-22628	10	41	the	the	DET
fcis-22628	10	42	current	current	ADJ
fcis-22628	10	43	ship	ship	NOUN
fcis-22628	10	44	power	power	NOUN
fcis-22628	10	45	system	system	NOUN
fcis-22628	10	46	,	,	PUNCT
fcis-22628	10	47	so	so	SCONJ
fcis-22628	10	48	as	as	SCONJ
fcis-22628	10	49	to	to	PART
fcis-22628	10	50	improve	improve	VERB
fcis-22628	10	51	the	the	DET
fcis-22628	10	52	safety	safety	NOUN
fcis-22628	10	53	and	and	CCONJ
fcis-22628	10	54	economy	economy	NOUN
fcis-22628	10	55	of	of	ADP
fcis-22628	10	56	ship	ship	NOUN
fcis-22628	10	57	operation	operation	NOUN
fcis-22628	10	58	.	.	PUNCT
fcis-22628	11	1	firstly	firstly	ADV
fcis-22628	11	2	,	,	PUNCT
fcis-22628	11	3	the	the	DET
fcis-22628	11	4	paper	paper	NOUN
fcis-22628	11	5	discusses	discuss	VERB
fcis-22628	11	6	the	the	DET
fcis-22628	11	7	application	application	NOUN
fcis-22628	11	8	value	value	NOUN
fcis-22628	11	9	and	and	CCONJ
fcis-22628	11	10	broad	broad	ADJ
fcis-22628	11	11	prospect	prospect	NOUN
fcis-22628	11	12	of	of	ADP
fcis-22628	11	13	big	big	ADJ
fcis-22628	11	14	data	datum	NOUN
fcis-22628	11	15	technology	technology	NOUN
fcis-22628	11	16	and	and	CCONJ
fcis-22628	11	17	intelligent	intelligent	ADJ
fcis-22628	11	18	algorithm	algorithm	NOUN
fcis-22628	11	19	in	in	ADP
fcis-22628	11	20	fault	fault	NOUN
fcis-22628	11	21	diagnosis	diagnosis	NOUN
fcis-22628	11	22	of	of	ADP
fcis-22628	11	23	ship	ship	NOUN
fcis-22628	11	24	power	power	NOUN
fcis-22628	11	25	system	system	NOUN
fcis-22628	11	26	in	in	ADP
fcis-22628	11	27	detail	detail	NOUN
fcis-22628	11	28	.	.	PUNCT
fcis-22628	12	1	in	in	ADP
fcis-22628	12	2	the	the	DET
fcis-22628	12	3	face	face	NOUN
fcis-22628	12	4	of	of	ADP
fcis-22628	12	5	the	the	DET
fcis-22628	12	6	massive	massive	ADJ
fcis-22628	12	7	,	,	PUNCT
fcis-22628	12	8	multi	multi	ADJ
fcis-22628	12	9	-	-	NOUN
fcis-22628	12	10	source	source	NOUN
fcis-22628	12	11	and	and	CCONJ
fcis-22628	12	12	heterogeneous	heterogeneous	ADJ
fcis-22628	12	13	operation	operation	NOUN
fcis-22628	12	14	data	datum	NOUN
fcis-22628	12	15	generated	generate	VERB
fcis-22628	12	16	by	by	ADP
fcis-22628	12	17	the	the	DET
fcis-22628	12	18	ship	ship	NOUN
fcis-22628	12	19	power	power	NOUN
fcis-22628	12	20	system	system	NOUN
fcis-22628	12	21	,	,	PUNCT
fcis-22628	12	22	we	we	PRON
fcis-22628	12	23	use	use	VERB
fcis-22628	12	24	the	the	DET
fcis-22628	12	25	deep	deep	ADJ
fcis-22628	12	26	data	datum	NOUN
fcis-22628	12	27	analysis	analysis	NOUN
fcis-22628	12	28	method	method	NOUN
fcis-22628	12	29	to	to	PART
fcis-22628	12	30	reveal	reveal	VERB
fcis-22628	12	31	the	the	DET
fcis-22628	12	32	operation	operation	NOUN
fcis-22628	12	33	rules	rule	NOUN
fcis-22628	12	34	and	and	CCONJ
fcis-22628	12	35	fault	fault	VERB
fcis-22628	12	36	characteristics	characteristic	NOUN
fcis-22628	12	37	hidden	hide	VERB
fcis-22628	12	38	behind	behind	ADP
fcis-22628	12	39	the	the	DET
fcis-22628	12	40	huge	huge	ADJ
fcis-22628	12	41	data	datum	NOUN
fcis-22628	12	42	.	.	PUNCT
fcis-22628	13	1	through	through	ADP
fcis-22628	13	2	the	the	DET
fcis-22628	13	3	use	use	NOUN
fcis-22628	13	4	of	of	ADP
fcis-22628	13	5	advanced	advanced	ADJ
fcis-22628	13	6	big	big	ADJ
fcis-22628	13	7	data	datum	NOUN
fcis-22628	13	8	processing	processing	NOUN
fcis-22628	13	9	technologies	technology	NOUN
fcis-22628	13	10	,	,	PUNCT
fcis-22628	13	11	such	such	ADJ
fcis-22628	13	12	as	as	ADP
fcis-22628	13	13	streaming	streaming	NOUN
fcis-22628	13	14	computing	computing	NOUN
fcis-22628	13	15	and	and	CCONJ
fcis-22628	13	16	distributed	distribute	VERB
fcis-22628	13	17	storage	storage	NOUN
fcis-22628	13	18	technology	technology	NOUN
fcis-22628	13	19	,	,	PUNCT
fcis-22628	13	20	we	we	PRON
fcis-22628	13	21	effectively	effectively	ADV
fcis-22628	13	22	integrate	integrate	VERB
fcis-22628	13	23	,	,	PUNCT
fcis-22628	13	24	process	process	NOUN
fcis-22628	13	25	and	and	CCONJ
fcis-22628	13	26	deeply	deeply	ADV
fcis-22628	13	27	dig	dig	VERB
fcis-22628	13	28	large	large	ADJ
fcis-22628	13	29	-	-	PUNCT
fcis-22628	13	30	scale	scale	NOUN
fcis-22628	13	31	complex	complex	ADJ
fcis-22628	13	32	data	datum	NOUN
fcis-22628	13	33	,	,	PUNCT
fcis-22628	13	34	thereby	thereby	ADV
fcis-22628	13	35	solving	solve	VERB
fcis-22628	13	36	the	the	DET
fcis-22628	13	37	problems	problem	NOUN
fcis-22628	13	38	of	of	ADP
fcis-22628	13	39	low	low	ADJ
fcis-22628	13	40	time	time	NOUN
fcis-22628	13	41	efficiency	efficiency	NOUN
fcis-22628	13	42	and	and	CCONJ
fcis-22628	13	43	resource	resource	NOUN
fcis-22628	13	44	waste	waste	NOUN
fcis-22628	13	45	that	that	PRON
fcis-22628	13	46	may	may	AUX
fcis-22628	13	47	occur	occur	VERB
fcis-22628	13	48	in	in	ADP
fcis-22628	13	49	the	the	DET
fcis-22628	13	50	face	face	NOUN
fcis-22628	13	51	of	of	ADP
fcis-22628	13	52	massive	massive	ADJ
fcis-22628	13	53	data	datum	NOUN
fcis-22628	13	54	by	by	ADP
fcis-22628	13	55	traditional	traditional	ADJ
fcis-22628	13	56	methods	method	NOUN
fcis-22628	13	57	.	.	PUNCT
fcis-22628	14	1	on	on	ADP
fcis-22628	14	2	this	this	DET
fcis-22628	14	3	basis	basis	NOUN
fcis-22628	14	4	,	,	PUNCT
fcis-22628	14	5	this	this	DET
fcis-22628	14	6	research	research	NOUN
fcis-22628	14	7	pays	pay	VERB
fcis-22628	14	8	special	special	ADJ
fcis-22628	14	9	attention	attention	NOUN
fcis-22628	14	10	to	to	ADP
fcis-22628	14	11	the	the	DET
fcis-22628	14	12	nonlinear	nonlinear	ADJ
fcis-22628	14	13	and	and	CCONJ
fcis-22628	14	14	time	time	NOUN
fcis-22628	14	15	-	-	PUNCT
fcis-22628	14	16	varying	vary	VERB
fcis-22628	14	17	characteristics	characteristic	NOUN
fcis-22628	14	18	of	of	ADP
fcis-22628	14	19	the	the	DET
fcis-22628	14	20	ship	ship	NOUN
fcis-22628	14	21	power	power	NOUN
fcis-22628	14	22	system	system	NOUN
fcis-22628	14	23	,	,	PUNCT
fcis-22628	14	24	and	and	CCONJ
fcis-22628	14	25	then	then	ADV
fcis-22628	14	26	carefully	carefully	ADV
fcis-22628	14	27	designs	design	VERB
fcis-22628	14	28	and	and	CCONJ
fcis-22628	14	29	successfully	successfully	ADV
fcis-22628	14	30	applies	apply	VERB
fcis-22628	14	31	a	a	DET
fcis-22628	14	32	fault	fault	NOUN
fcis-22628	14	33	diagnosis	diagnosis	NOUN
fcis-22628	14	34	model	model	NOUN
fcis-22628	14	35	integrating	integrate	VERB
fcis-22628	14	36	multiple	multiple	ADJ
fcis-22628	14	37	intelligent	intelligent	ADJ
fcis-22628	14	38	algorithms	algorithm	NOUN
fcis-22628	14	39	such	such	ADJ
fcis-22628	14	40	as	as	ADP
fcis-22628	14	41	machine	machine	NOUN
fcis-22628	14	42	learning	learning	NOUN
fcis-22628	14	43	and	and	CCONJ
fcis-22628	14	44	deep	deep	ADJ
fcis-22628	14	45	learning	learning	NOUN
fcis-22628	14	46	.	.	PUNCT
fcis-22628	15	1	the	the	DET
fcis-22628	15	2	model	model	NOUN
fcis-22628	15	3	has	have	VERB
fcis-22628	15	4	strong	strong	ADJ
fcis-22628	15	5	self	self	NOUN
fcis-22628	15	6	-	-	PUNCT
fcis-22628	15	7	learning	learn	VERB
fcis-22628	15	8	and	and	CCONJ
fcis-22628	15	9	optimization	optimization	NOUN
fcis-22628	15	10	ability	ability	NOUN
fcis-22628	15	11	,	,	PUNCT
fcis-22628	15	12	and	and	CCONJ
fcis-22628	15	13	can	can	AUX
fcis-22628	15	14	automatically	automatically	ADV
fcis-22628	15	15	extract	extract	VERB
fcis-22628	15	16	key	key	ADJ
fcis-22628	15	17	fault	fault	NOUN
fcis-22628	15	18	characteristic	characteristic	ADJ
fcis-22628	15	19	parameters	parameter	NOUN
fcis-22628	15	20	in	in	ADP
fcis-22628	15	21	real	real	ADJ
fcis-22628	15	22	-	-	PUNCT
fcis-22628	15	23	time	time	NOUN
fcis-22628	15	24	monitoring	monitoring	NOUN
fcis-22628	15	25	,	,	PUNCT
fcis-22628	15	26	so	so	SCONJ
fcis-22628	15	27	as	as	SCONJ
fcis-22628	15	28	to	to	PART
fcis-22628	15	29	give	give	VERB
fcis-22628	15	30	early	early	ADJ
fcis-22628	15	31	warning	warning	NOUN
fcis-22628	15	32	at	at	ADP
fcis-22628	15	33	the	the	DET
fcis-22628	15	34	early	early	ADJ
fcis-22628	15	35	stage	stage	NOUN
fcis-22628	15	36	of	of	ADP
fcis-22628	15	37	fault	fault	NOUN
fcis-22628	15	38	occurrence	occurrence	NOUN
fcis-22628	15	39	,	,	PUNCT
fcis-22628	15	40	and	and	CCONJ
fcis-22628	15	41	accurately	accurately	ADV
fcis-22628	15	42	identify	identify	VERB
fcis-22628	15	43	various	various	ADJ
fcis-22628	15	44	potential	potential	ADJ
fcis-22628	15	45	fault	fault	NOUN
fcis-22628	15	46	types	type	NOUN
fcis-22628	15	47	.	.	PUNCT
fcis-22628	16	1	through	through	ADP
fcis-22628	16	2	continuous	continuous	ADJ
fcis-22628	16	3	iterative	iterative	NOUN
fcis-22628	16	4	training	training	NOUN
fcis-22628	16	5	and	and	CCONJ
fcis-22628	16	6	optimization	optimization	NOUN
fcis-22628	16	7	,	,	PUNCT
fcis-22628	16	8	the	the	DET
fcis-22628	16	9	model	model	NOUN
fcis-22628	16	10	significantly	significantly	ADV
fcis-22628	16	11	improves	improve	VERB
fcis-22628	16	12	the	the	DET
fcis-22628	16	13	accuracy	accuracy	NOUN
fcis-22628	16	14	and	and	CCONJ
fcis-22628	16	15	response	response	NOUN
fcis-22628	16	16	speed	speed	NOUN
fcis-22628	16	17	of	of	ADP
fcis-22628	16	18	fault	fault	NOUN
fcis-22628	16	19	diagnosis	diagnosis	NOUN
fcis-22628	16	20	,	,	PUNCT
fcis-22628	16	21	and	and	CCONJ
fcis-22628	16	22	effectively	effectively	ADV
fcis-22628	16	23	overcomes	overcome	VERB
fcis-22628	16	24	the	the	DET
fcis-22628	16	25	limitations	limitation	NOUN
fcis-22628	16	26	of	of	ADP
fcis-22628	16	27	traditional	traditional	ADJ
fcis-22628	16	28	fault	fault	NOUN
fcis-22628	16	29	diagnosis	diagnosis	NOUN
fcis-22628	16	30	methods	method	NOUN
fcis-22628	16	31	in	in	ADP
fcis-22628	16	32	dealing	deal	VERB
fcis-22628	16	33	with	with	ADP
fcis-22628	16	34	complex	complex	ADJ
fcis-22628	16	35	and	and	CCONJ
fcis-22628	16	36	dynamically	dynamically	ADV
fcis-22628	16	37	changing	change	VERB
fcis-22628	16	38	systems	system	NOUN
fcis-22628	16	39	.	.	PUNCT
fcis-22628	17	1	finally	finally	ADV
fcis-22628	17	2	,	,	PUNCT
fcis-22628	17	3	in	in	ADP
fcis-22628	17	4	order	order	NOUN
fcis-22628	17	5	to	to	PART
fcis-22628	17	6	verify	verify	VERB
fcis-22628	17	7	the	the	DET
fcis-22628	17	8	practicability	practicability	NOUN
fcis-22628	17	9	and	and	CCONJ
fcis-22628	17	10	effectiveness	effectiveness	NOUN
fcis-22628	17	11	of	of	ADP
fcis-22628	17	12	the	the	DET
fcis-22628	17	13	above	above	ADJ
fcis-22628	17	14	big	big	ADJ
fcis-22628	17	15	data	datum	NOUN
fcis-22628	17	16	intelligent	intelligent	ADJ
fcis-22628	17	17	fault	fault	NOUN
fcis-22628	17	18	diagnosis	diagnosis	NOUN
fcis-22628	17	19	system	system	NOUN
fcis-22628	17	20	,	,	PUNCT
fcis-22628	17	21	this	this	DET
fcis-22628	17	22	study	study	NOUN
fcis-22628	17	23	applied	apply	VERB
fcis-22628	17	24	it	it	PRON
fcis-22628	17	25	to	to	ADP
fcis-22628	17	26	several	several	ADJ
fcis-22628	17	27	fault	fault	NOUN
fcis-22628	17	28	diagnosis	diagnosis	NOUN
fcis-22628	17	29	examples	example	NOUN
fcis-22628	17	30	of	of	ADP
fcis-22628	17	31	ship	ship	NOUN
fcis-22628	17	32	power	power	NOUN
fcis-22628	17	33	system	system	NOUN
fcis-22628	17	34	.	.	PUNCT
fcis-22628	18	1	the	the	DET
fcis-22628	18	2	results	result	NOUN
fcis-22628	18	3	show	show	VERB
fcis-22628	18	4	that	that	SCONJ
fcis-22628	18	5	the	the	DET
fcis-22628	18	6	system	system	NOUN
fcis-22628	18	7	can	can	AUX
fcis-22628	18	8	not	not	PART
fcis-22628	18	9	only	only	ADV
fcis-22628	18	10	greatly	greatly	ADV
fcis-22628	18	11	improve	improve	VERB
fcis-22628	18	12	the	the	DET
fcis-22628	18	13	fault	fault	NOUN
fcis-22628	18	14	diagnosis	diagnosis	NOUN
fcis-22628	18	15	efficiency	efficiency	NOUN
fcis-22628	18	16	and	and	CCONJ
fcis-22628	18	17	reduce	reduce	VERB
fcis-22628	18	18	the	the	DET
fcis-22628	18	19	unnecessary	unnecessary	ADJ
fcis-22628	18	20	maintenance	maintenance	NOUN
fcis-22628	18	21	cost	cost	NOUN
fcis-22628	18	22	caused	cause	VERB
fcis-22628	18	23	by	by	ADP
fcis-22628	18	24	misdiagnosis	misdiagnosis	NOUN
fcis-22628	18	25	or	or	CCONJ
fcis-22628	18	26	delay	delay	NOUN
fcis-22628	18	27	,	,	PUNCT
fcis-22628	18	28	but	but	CCONJ
fcis-22628	18	29	also	also	ADV
fcis-22628	18	30	play	play	VERB
fcis-22628	18	31	a	a	DET
fcis-22628	18	32	vital	vital	ADJ
fcis-22628	18	33	role	role	NOUN
fcis-22628	18	34	in	in	ADP
fcis-22628	18	35	ensuring	ensure	VERB
fcis-22628	18	36	navigation	navigation	NOUN
fcis-22628	18	37	safety	safety	NOUN
fcis-22628	18	38	.	.	PUNCT
fcis-22628	19	1	this	this	DET
fcis-22628	19	2	research	research	NOUN
fcis-22628	19	3	result	result	VERB
fcis-22628	19	4	not	not	PART
fcis-22628	19	5	only	only	ADV
fcis-22628	19	6	has	have	VERB
fcis-22628	19	7	great	great	ADJ
fcis-22628	19	8	value	value	NOUN
fcis-22628	19	9	for	for	ADP
fcis-22628	19	10	the	the	DET
fcis-22628	19	11	innovative	innovative	ADJ
fcis-22628	19	12	development	development	NOUN
fcis-22628	19	13	of	of	ADP
fcis-22628	19	14	china	china	PROPN
fcis-22628	19	15	's	's	PART
fcis-22628	19	16	shipbuilding	shipbuilding	NOUN
fcis-22628	19	17	industry	industry	NOUN
fcis-22628	19	18	,	,	PUNCT
fcis-22628	19	19	but	but	CCONJ
fcis-22628	19	20	also	also	ADV
fcis-22628	19	21	provides	provide	VERB
fcis-22628	19	22	a	a	DET
fcis-22628	19	23	new	new	ADJ
fcis-22628	19	24	idea	idea	NOUN
fcis-22628	19	25	and	and	CCONJ
fcis-22628	19	26	solution	solution	NOUN
fcis-22628	19	27	for	for	ADP
fcis-22628	19	28	the	the	DET
fcis-22628	19	29	progress	progress	NOUN
fcis-22628	19	30	of	of	ADP
fcis-22628	19	31	fault	fault	NOUN
fcis-22628	19	32	diagnosis	diagnosis	NOUN
fcis-22628	19	33	technology	technology	NOUN
fcis-22628	19	34	in	in	ADP
fcis-22628	19	35	the	the	DET
fcis-22628	19	36	global	global	ADJ
fcis-22628	19	37	shipbuilding	shipbuilding	NOUN
fcis-22628	19	38	industry	industry	NOUN
fcis-22628	19	39	.	.	PUNCT
fcis-22628	20	1	in	in	ADP
fcis-22628	20	2	general	general	ADJ
fcis-22628	20	3	,	,	PUNCT
fcis-22628	20	4	through	through	ADP
fcis-22628	20	5	in	in	ADP
fcis-22628	20	6	-	-	PUNCT
fcis-22628	20	7	depth	depth	NOUN
fcis-22628	20	8	exploration	exploration	NOUN
fcis-22628	20	9	and	and	CCONJ
fcis-22628	20	10	practical	practical	ADJ
fcis-22628	20	11	application	application	NOUN
fcis-22628	20	12	of	of	ADP
fcis-22628	20	13	big	big	ADJ
fcis-22628	20	14	data	datum	NOUN
fcis-22628	20	15	intelligent	intelligent	ADJ
fcis-22628	20	16	technology	technology	NOUN
fcis-22628	20	17	,	,	PUNCT
fcis-22628	20	18	this	this	DET
fcis-22628	20	19	paper	paper	NOUN
fcis-22628	20	20	effectively	effectively	ADV
fcis-22628	20	21	verifies	verify	VERB
fcis-22628	20	22	its	its	PRON
fcis-22628	20	23	important	important	ADJ
fcis-22628	20	24	role	role	NOUN
fcis-22628	20	25	in	in	ADP
fcis-22628	20	26	improving	improve	VERB
fcis-22628	20	27	the	the	DET
fcis-22628	20	28	fault	fault	NOUN
fcis-22628	20	29	prediction	prediction	NOUN
fcis-22628	20	30	accuracy	accuracy	NOUN
fcis-22628	20	31	of	of	ADP
fcis-22628	20	32	ship	ship	NOUN
fcis-22628	20	33	power	power	NOUN
fcis-22628	20	34	system	system	NOUN
fcis-22628	20	35	and	and	CCONJ
fcis-22628	20	36	reducing	reduce	VERB
fcis-22628	20	37	the	the	DET
fcis-22628	20	38	fault	fault	NOUN
fcis-22628	20	39	detection	detection	NOUN
fcis-22628	20	40	time	time	NOUN
fcis-22628	20	41	.	.	PUNCT
fcis-22628	21	1	this	this	DET
fcis-22628	21	2	research	research	NOUN
fcis-22628	21	3	result	result	VERB
fcis-22628	21	4	not	not	PART
fcis-22628	21	5	only	only	ADV
fcis-22628	21	6	has	have	AUX
fcis-22628	21	7	profound	profound	ADJ
fcis-22628	21	8	theoretical	theoretical	ADJ
fcis-22628	21	9	guiding	guiding	NOUN
fcis-22628	21	10	significance	significance	NOUN
fcis-22628	21	11	,	,	PUNCT
fcis-22628	21	12	but	but	CCONJ
fcis-22628	21	13	also	also	ADV
fcis-22628	21	14	has	have	VERB
fcis-22628	21	15	significant	significant	ADJ
fcis-22628	21	16	practical	practical	ADJ
fcis-22628	21	17	value	value	NOUN
fcis-22628	21	18	for	for	ADP
fcis-22628	21	19	optimizing	optimize	VERB
fcis-22628	21	20	the	the	DET
fcis-22628	21	21	efficiency	efficiency	NOUN
fcis-22628	21	22	of	of	ADP
fcis-22628	21	23	ship	ship	NOUN
fcis-22628	21	24	operation	operation	NOUN
fcis-22628	21	25	and	and	CCONJ
fcis-22628	21	26	maintenance	maintenance	NOUN
fcis-22628	21	27	management	management	NOUN
fcis-22628	21	28	and	and	CCONJ
fcis-22628	21	29	ensuring	ensure	VERB
fcis-22628	21	30	the	the	DET
fcis-22628	21	31	robust	robust	ADJ
fcis-22628	21	32	and	and	CCONJ
fcis-22628	21	33	efficient	efficient	ADJ
fcis-22628	21	34	operation	operation	NOUN
fcis-22628	21	35	of	of	ADP
fcis-22628	21	36	ship	ship	NOUN
fcis-22628	21	37	power	power	NOUN
fcis-22628	21	38	system	system	NOUN
fcis-22628	21	39	.	.	PUNCT
fcis-22628	22	1	in	in	ADP
fcis-22628	22	2	the	the	DET
fcis-22628	22	3	future	future	ADJ
fcis-22628	22	4	research	research	NOUN
fcis-22628	22	5	,	,	PUNCT
fcis-22628	22	6	we	we	PRON
fcis-22628	22	7	will	will	AUX
fcis-22628	22	8	continue	continue	VERB
fcis-22628	22	9	to	to	PART
fcis-22628	22	10	deepen	deepen	VERB
fcis-22628	22	11	and	and	CCONJ
fcis-22628	22	12	improve	improve	VERB
fcis-22628	22	13	the	the	DET
fcis-22628	22	14	ship	ship	NOUN
fcis-22628	22	15	power	power	NOUN
fcis-22628	22	16	system	system	NOUN
fcis-22628	22	17	fault	fault	NOUN
fcis-22628	22	18	diagnosis	diagnosis	NOUN
fcis-22628	22	19	system	system	NOUN
fcis-22628	22	20	based	base	VERB
fcis-22628	22	21	on	on	ADP
fcis-22628	22	22	big	big	ADJ
fcis-22628	22	23	data	datum	NOUN
fcis-22628	22	24	intelligence	intelligence	NOUN
fcis-22628	22	25	,	,	PUNCT
fcis-22628	22	26	in	in	ADP
fcis-22628	22	27	order	order	NOUN
fcis-22628	22	28	to	to	PART
fcis-22628	22	29	adapt	adapt	VERB
fcis-22628	22	30	to	to	ADP
fcis-22628	22	31	a	a	DET
fcis-22628	22	32	wider	wide	ADJ
fcis-22628	22	33	range	range	NOUN
fcis-22628	22	34	of	of	ADP
fcis-22628	22	35	engineering	engineering	NOUN
fcis-22628	22	36	application	application	NOUN
fcis-22628	22	37	scenarios	scenario	NOUN
fcis-22628	22	38	,	,	PUNCT
fcis-22628	22	39	and	and	CCONJ
fcis-22628	22	40	actively	actively	ADV
fcis-22628	22	41	promote	promote	VERB
fcis-22628	22	42	the	the	DET
fcis-22628	22	43	continuous	continuous	ADJ
fcis-22628	22	44	evolution	evolution	NOUN
fcis-22628	22	45	and	and	CCONJ
fcis-22628	22	46	development	development	NOUN
fcis-22628	22	47	of	of	ADP
fcis-22628	22	48	smart	smart	ADJ
fcis-22628	22	49	marine	marine	ADJ
fcis-22628	22	50	equipment	equipment	NOUN
fcis-22628	22	51	technology	technology	NOUN
fcis-22628	22	52	.	.	PUNCT
fcis-22628	23	1	2	2	X
fcis-22628	23	2	.	.	X
fcis-22628	23	3	related	relate	VERB
fcis-22628	23	4	work	work	NOUN
fcis-22628	23	5	fault	fault	NOUN
fcis-22628	23	6	diagnosis	diagnosis	NOUN
fcis-22628	23	7	technology	technology	NOUN
fcis-22628	23	8	is	be	AUX
fcis-22628	23	9	the	the	DET
fcis-22628	23	10	core	core	NOUN
fcis-22628	23	11	means	mean	VERB
fcis-22628	23	12	to	to	PART
fcis-22628	23	13	ensure	ensure	VERB
fcis-22628	23	14	the	the	DET
fcis-22628	23	15	66	66	NUM
fcis-22628	23	16	safe	safe	ADJ
fcis-22628	23	17	operation	operation	NOUN
fcis-22628	23	18	of	of	ADP
fcis-22628	23	19	equipment	equipment	NOUN
fcis-22628	23	20	,	,	PUNCT
fcis-22628	23	21	involving	involve	VERB
fcis-22628	23	22	four	four	NUM
fcis-22628	23	23	aspects	aspect	NOUN
fcis-22628	23	24	:	:	PUNCT
fcis-22628	23	25	signal	signal	ADJ
fcis-22628	23	26	detection	detection	NOUN
fcis-22628	23	27	,	,	PUNCT
fcis-22628	23	28	feature	feature	NOUN
fcis-22628	23	29	extraction	extraction	NOUN
fcis-22628	23	30	,	,	PUNCT
fcis-22628	23	31	state	state	NOUN
fcis-22628	23	32	recognition	recognition	NOUN
fcis-22628	23	33	and	and	CCONJ
fcis-22628	23	34	prediction	prediction	NOUN
fcis-22628	23	35	decision	decision	NOUN
fcis-22628	24	1	[	[	X
fcis-22628	24	2	1	1	NUM
fcis-22628	24	3	-	-	SYM
fcis-22628	24	4	2	2	NUM
fcis-22628	24	5	]	]	PUNCT
fcis-22628	24	6	.	.	PUNCT
fcis-22628	25	1	many	many	ADJ
fcis-22628	25	2	research	research	NOUN
fcis-22628	25	3	teams	team	NOUN
fcis-22628	25	4	at	at	ADP
fcis-22628	25	5	home	home	ADV
fcis-22628	25	6	and	and	CCONJ
fcis-22628	25	7	abroad	abroad	ADV
fcis-22628	25	8	have	have	AUX
fcis-22628	25	9	carried	carry	VERB
fcis-22628	25	10	out	out	ADP
fcis-22628	25	11	in	in	ADP
fcis-22628	25	12	-	-	PUNCT
fcis-22628	25	13	depth	depth	NOUN
fcis-22628	25	14	research	research	NOUN
fcis-22628	25	15	in	in	ADP
fcis-22628	25	16	this	this	DET
fcis-22628	25	17	field	field	NOUN
fcis-22628	25	18	.	.	PUNCT
fcis-22628	26	1	for	for	ADP
fcis-22628	26	2	example	example	NOUN
fcis-22628	26	3	,	,	PUNCT
fcis-22628	26	4	z.	z.	PROPN
fcis-22628	26	5	eng	eng	PROPN
fcis-22628	26	6	et	et	PROPN
fcis-22628	26	7	al	al	PROPN
fcis-22628	26	8	.	.	PROPN
fcis-22628	26	9	used	use	VERB
fcis-22628	26	10	oil	oil	NOUN
fcis-22628	26	11	monitoring	monitoring	NOUN
fcis-22628	26	12	technology	technology	NOUN
fcis-22628	26	13	to	to	PART
fcis-22628	26	14	study	study	VERB
fcis-22628	26	15	the	the	DET
fcis-22628	26	16	wear	wear	NOUN
fcis-22628	26	17	particle	particle	NOUN
fcis-22628	26	18	characteristics	characteristic	NOUN
fcis-22628	26	19	of	of	ADP
fcis-22628	26	20	motor	motor	NOUN
fcis-22628	26	21	driven	drive	VERB
fcis-22628	26	22	turbine	turbine	PROPN
fcis-22628	26	23	box	box	NOUN
fcis-22628	26	24	,	,	PUNCT
fcis-22628	26	25	and	and	CCONJ
fcis-22628	26	26	combined	combine	VERB
fcis-22628	26	27	with	with	ADP
fcis-22628	26	28	vibration	vibration	NOUN
fcis-22628	26	29	monitoring	monitoring	NOUN
fcis-22628	26	30	technology	technology	NOUN
fcis-22628	26	31	to	to	PART
fcis-22628	26	32	improve	improve	VERB
fcis-22628	26	33	the	the	DET
fcis-22628	26	34	fault	fault	NOUN
fcis-22628	26	35	diagnosis	diagnosis	NOUN
fcis-22628	26	36	accuracy	accuracy	NOUN
fcis-22628	27	1	[	[	X
fcis-22628	27	2	3	3	NUM
fcis-22628	27	3	]	]	PUNCT
fcis-22628	27	4	.	.	PUNCT
fcis-22628	28	1	anand	anand	PROPN
fcis-22628	28	2	prabhakaran	prabhakaran	PROPN
fcis-22628	28	3	et	et	PROPN
fcis-22628	28	4	al	al	PROPN
fcis-22628	28	5	.	.	PROPN
fcis-22628	28	6	conducted	conduct	VERB
fcis-22628	28	7	long	long	ADJ
fcis-22628	28	8	-	-	PUNCT
fcis-22628	28	9	term	term	NOUN
fcis-22628	28	10	monitoring	monitoring	NOUN
fcis-22628	28	11	of	of	ADP
fcis-22628	28	12	the	the	DET
fcis-22628	28	13	lubricating	lubricate	VERB
fcis-22628	28	14	oil	oil	NOUN
fcis-22628	28	15	of	of	ADP
fcis-22628	28	16	the	the	DET
fcis-22628	28	17	turbine	turbine	NOUN
fcis-22628	28	18	generator	generator	NOUN
fcis-22628	28	19	set	set	VERB
fcis-22628	28	20	and	and	CCONJ
fcis-22628	28	21	used	use	VERB
fcis-22628	28	22	various	various	ADJ
fcis-22628	28	23	analysis	analysis	NOUN
fcis-22628	28	24	methods	method	NOUN
fcis-22628	28	25	to	to	PART
fcis-22628	28	26	extract	extract	VERB
fcis-22628	28	27	pollutant	pollutant	ADJ
fcis-22628	28	28	information	information	NOUN
fcis-22628	28	29	to	to	PART
fcis-22628	28	30	study	study	VERB
fcis-22628	28	31	the	the	DET
fcis-22628	28	32	faults	fault	NOUN
fcis-22628	28	33	caused	cause	VERB
fcis-22628	28	34	by	by	ADP
fcis-22628	28	35	oil	oil	NOUN
fcis-22628	28	36	pollution	pollution	NOUN
fcis-22628	28	37	[	[	X
fcis-22628	28	38	4	4	NUM
fcis-22628	28	39	]	]	PUNCT
fcis-22628	28	40	.	.	PUNCT
fcis-22628	29	1	liu	liu	PROPN
fcis-22628	29	2	tao	tao	PROPN
fcis-22628	29	3	et	et	PROPN
fcis-22628	29	4	al	al	PROPN
fcis-22628	29	5	.	.	PROPN
fcis-22628	29	6	analyzed	analyze	VERB
fcis-22628	29	7	diesel	diesel	NOUN
fcis-22628	29	8	engine	engine	NOUN
fcis-22628	29	9	oil	oil	NOUN
fcis-22628	29	10	samples	sample	NOUN
fcis-22628	29	11	with	with	ADP
fcis-22628	29	12	the	the	DET
fcis-22628	29	13	help	help	NOUN
fcis-22628	29	14	of	of	ADP
fcis-22628	29	15	m	m	NOUN
fcis-22628	29	16	-	-	PUNCT
fcis-22628	29	17	type	type	NOUN
fcis-22628	29	18	atomic	atomic	ADJ
fcis-22628	29	19	spectrum	spectrum	NOUN
fcis-22628	29	20	analyzer	analyzer	NOUN
fcis-22628	29	21	and	and	CCONJ
fcis-22628	29	22	revealed	reveal	VERB
fcis-22628	29	23	the	the	DET
fcis-22628	29	24	element	element	NOUN
fcis-22628	29	25	source	source	NOUN
fcis-22628	29	26	and	and	CCONJ
fcis-22628	29	27	its	its	PRON
fcis-22628	29	28	relationship	relationship	NOUN
fcis-22628	29	29	with	with	ADP
fcis-22628	29	30	diesel	diesel	NOUN
fcis-22628	29	31	engine	engine	NOUN
fcis-22628	29	32	condition	condition	NOUN
fcis-22628	29	33	monitoring	monitoring	NOUN
fcis-22628	29	34	and	and	CCONJ
fcis-22628	29	35	wear	wear	VERB
fcis-22628	29	36	diagnosis	diagnosis	NOUN
fcis-22628	29	37	[	[	X
fcis-22628	29	38	5	5	NUM
fcis-22628	29	39	]	]	PUNCT
fcis-22628	29	40	.	.	PUNCT
fcis-22628	30	1	the	the	DET
fcis-22628	30	2	reliability	reliability	NOUN
fcis-22628	30	3	engineering	engineering	NOUN
fcis-22628	30	4	research	research	NOUN
fcis-22628	30	5	center	center	NOUN
fcis-22628	30	6	of	of	ADP
fcis-22628	30	7	wuhan	wuhan	PROPN
fcis-22628	30	8	university	university	PROPN
fcis-22628	30	9	of	of	ADP
fcis-22628	30	10	technology	technology	NOUN
fcis-22628	30	11	has	have	AUX
fcis-22628	30	12	accumulated	accumulate	VERB
fcis-22628	30	13	rich	rich	ADJ
fcis-22628	30	14	theoretical	theoretical	ADJ
fcis-22628	30	15	and	and	CCONJ
fcis-22628	30	16	practical	practical	ADJ
fcis-22628	30	17	experience	experience	NOUN
fcis-22628	30	18	in	in	ADP
fcis-22628	30	19	oil	oil	NOUN
fcis-22628	30	20	monitoring	monitoring	NOUN
fcis-22628	30	21	of	of	ADP
fcis-22628	30	22	marine	marine	ADJ
fcis-22628	30	23	power	power	NOUN
fcis-22628	30	24	system	system	NOUN
fcis-22628	30	25	,	,	PUNCT
fcis-22628	30	26	and	and	CCONJ
fcis-22628	30	27	has	have	AUX
fcis-22628	30	28	monitored	monitor	VERB
fcis-22628	30	29	abrasive	abrasive	ADJ
fcis-22628	30	30	content	content	NOUN
fcis-22628	30	31	,	,	PUNCT
fcis-22628	30	32	viscosity	viscosity	NOUN
fcis-22628	30	33	,	,	PUNCT
fcis-22628	30	34	water	water	NOUN
fcis-22628	30	35	content	content	NOUN
fcis-22628	30	36	and	and	CCONJ
fcis-22628	30	37	other	other	ADJ
fcis-22628	30	38	indicators	indicator	NOUN
fcis-22628	30	39	by	by	ADP
fcis-22628	30	40	installing	instal	VERB
fcis-22628	30	41	online	online	ADJ
fcis-22628	30	42	monitoring	monitoring	NOUN
fcis-22628	30	43	systems	system	NOUN
fcis-22628	30	44	[	[	X
fcis-22628	30	45	6	6	NUM
fcis-22628	30	46	]	]	PUNCT
fcis-22628	30	47	.	.	PUNCT
fcis-22628	31	1	in	in	ADP
fcis-22628	31	2	addition	addition	NOUN
fcis-22628	31	3	,	,	PUNCT
fcis-22628	31	4	x.	x.	NOUN
fcis-22628	31	5	piyan	piyan	PROPN
fcis-22628	31	6	et	et	PROPN
fcis-22628	31	7	al	al	PROPN
fcis-22628	31	8	.	.	PROPN
fcis-22628	31	9	used	use	VERB
fcis-22628	31	10	online	online	ADJ
fcis-22628	31	11	ferrospectrometer	ferrospectrometer	NOUN
fcis-22628	31	12	to	to	PART
fcis-22628	31	13	monitor	monitor	VERB
fcis-22628	31	14	wear	wear	VERB
fcis-22628	31	15	particles	particle	NOUN
fcis-22628	31	16	in	in	ADP
fcis-22628	31	17	ship	ship	NOUN
fcis-22628	31	18	power	power	NOUN
fcis-22628	31	19	system	system	NOUN
fcis-22628	31	20	in	in	ADP
fcis-22628	31	21	real	real	ADJ
fcis-22628	31	22	time	time	NOUN
fcis-22628	31	23	,	,	PUNCT
fcis-22628	31	24	and	and	CCONJ
fcis-22628	31	25	effectively	effectively	ADV
fcis-22628	31	26	reflected	reflect	VERB
fcis-22628	31	27	equipment	equipment	NOUN
fcis-22628	31	28	wear	wear	NOUN
fcis-22628	31	29	status	status	NOUN
fcis-22628	31	30	through	through	ADP
fcis-22628	31	31	ipca	ipca	PROPN
fcis-22628	31	32	index	index	NOUN
fcis-22628	31	33	[	[	X
fcis-22628	31	34	7	7	NUM
fcis-22628	31	35	]	]	PUNCT
fcis-22628	31	36	.	.	PUNCT
fcis-22628	32	1	sheng	sheng	PROPN
fcis-22628	32	2	chenxing	chenxe	VERB
fcis-22628	32	3	et	et	PROPN
fcis-22628	32	4	al	al	PROPN
fcis-22628	32	5	.	.	PROPN
fcis-22628	32	6	deployed	deploy	VERB
fcis-22628	32	7	a	a	DET
fcis-22628	32	8	computer	computer	NOUN
fcis-22628	32	9	-	-	PUNCT
fcis-22628	32	10	aided	aid	VERB
fcis-22628	32	11	monitoring	monitoring	NOUN
fcis-22628	32	12	system	system	NOUN
fcis-22628	32	13	for	for	ADP
fcis-22628	32	14	pollution	pollution	NOUN
fcis-22628	32	15	degree	degree	NOUN
fcis-22628	32	16	on	on	ADP
fcis-22628	32	17	the	the	DET
fcis-22628	32	18	dredger	dredger	NOUN
fcis-22628	32	19	to	to	PART
fcis-22628	32	20	realize	realize	VERB
fcis-22628	32	21	real	real	ADJ
fcis-22628	32	22	-	-	PUNCT
fcis-22628	32	23	time	time	NOUN
fcis-22628	32	24	hierarchical	hierarchical	ADJ
fcis-22628	32	25	alarm	alarm	NOUN
fcis-22628	32	26	monitoring	monitoring	NOUN
fcis-22628	32	27	of	of	ADP
fcis-22628	32	28	the	the	DET
fcis-22628	32	29	oil	oil	NOUN
fcis-22628	32	30	pollution	pollution	NOUN
fcis-22628	32	31	degree	degree	NOUN
fcis-22628	32	32	of	of	ADP
fcis-22628	32	33	the	the	DET
fcis-22628	32	34	ship	ship	NOUN
fcis-22628	32	35	's	's	PART
fcis-22628	32	36	hydraulic	hydraulic	ADJ
fcis-22628	32	37	system	system	NOUN
fcis-22628	32	38	[	[	X
fcis-22628	32	39	8	8	NUM
fcis-22628	32	40	]	]	PUNCT
fcis-22628	32	41	.	.	PUNCT
fcis-22628	33	1	li	li	PROPN
fcis-22628	33	2	.	.	PROPN
fcis-22628	33	3	b	b	PROPN
fcis-22628	33	4	et	et	PROPN
fcis-22628	33	5	al	al	PROPN
fcis-22628	33	6	.	.	PROPN
fcis-22628	33	7	conducted	conduct	VERB
fcis-22628	33	8	time	time	NOUN
fcis-22628	33	9	-	-	PUNCT
fcis-22628	33	10	frequency	frequency	NOUN
fcis-22628	33	11	domain	domain	NOUN
fcis-22628	33	12	analysis	analysis	NOUN
fcis-22628	33	13	of	of	ADP
fcis-22628	33	14	motor	motor	NOUN
fcis-22628	33	15	bearing	bear	VERB
fcis-22628	33	16	vibration	vibration	NOUN
fcis-22628	33	17	signals	signal	NOUN
fcis-22628	33	18	,	,	PUNCT
fcis-22628	33	19	and	and	CCONJ
fcis-22628	33	20	used	use	VERB
fcis-22628	33	21	neural	neural	ADJ
fcis-22628	33	22	networks	network	NOUN
fcis-22628	33	23	for	for	ADP
fcis-22628	33	24	bearing	bear	VERB
fcis-22628	33	25	fault	fault	NOUN
fcis-22628	33	26	diagnosis	diagnosis	NOUN
fcis-22628	34	1	[	[	X
fcis-22628	34	2	9	9	NUM
fcis-22628	34	3	]	]	PUNCT
fcis-22628	34	4	.	.	PUNCT
fcis-22628	35	1	zhixiong	zhixiong	PROPN
fcis-22628	35	2	li	li	PROPN
fcis-22628	35	3	et	et	PROPN
fcis-22628	35	4	al	al	PROPN
fcis-22628	35	5	.	.	PROPN
fcis-22628	35	6	comprehensively	comprehensively	ADV
fcis-22628	35	7	used	use	VERB
fcis-22628	35	8	vibration	vibration	NOUN
fcis-22628	35	9	analysis	analysis	NOUN
fcis-22628	35	10	and	and	CCONJ
fcis-22628	35	11	wear	wear	VERB
fcis-22628	35	12	particle	particle	NOUN
fcis-22628	35	13	analysis	analysis	NOUN
fcis-22628	35	14	,	,	PUNCT
fcis-22628	35	15	combined	combine	VERB
fcis-22628	35	16	with	with	ADP
fcis-22628	35	17	ica	ica	PROPN
fcis-22628	35	18	-	-	PUNCT
fcis-22628	35	19	r	r	NOUN
fcis-22628	35	20	algorithm	algorithm	NOUN
fcis-22628	35	21	to	to	PART
fcis-22628	35	22	achieve	achieve	VERB
fcis-22628	35	23	nondestructive	nondestructive	ADJ
fcis-22628	35	24	diagnosis	diagnosis	NOUN
fcis-22628	35	25	of	of	ADP
fcis-22628	35	26	ship	ship	NOUN
fcis-22628	35	27	main	main	ADJ
fcis-22628	35	28	engine	engine	NOUN
fcis-22628	35	29	wear	wear	VERB
fcis-22628	35	30	fault	fault	NOUN
fcis-22628	35	31	.	.	PUNCT
fcis-22628	36	1	professors	professor	NOUN
fcis-22628	36	2	yang	yang	PROPN
fcis-22628	36	3	jianguo	jianguo	PROPN
fcis-22628	36	4	and	and	CCONJ
fcis-22628	36	5	zhou	zhou	PROPN
fcis-22628	36	6	yichen	yichen	PROPN
fcis-22628	36	7	used	use	VERB
fcis-22628	36	8	the	the	DET
fcis-22628	36	9	surface	surface	NOUN
fcis-22628	36	10	vibration	vibration	NOUN
fcis-22628	36	11	signal	signal	NOUN
fcis-22628	36	12	of	of	ADP
fcis-22628	36	13	diesel	diesel	NOUN
fcis-22628	36	14	engine	engine	NOUN
fcis-22628	36	15	to	to	PART
fcis-22628	36	16	judge	judge	VERB
fcis-22628	36	17	the	the	DET
fcis-22628	36	18	wear	wear	NOUN
fcis-22628	36	19	fault	fault	NOUN
fcis-22628	36	20	state	state	NOUN
fcis-22628	36	21	[	[	X
fcis-22628	36	22	10	10	NUM
fcis-22628	36	23	]	]	PUNCT
fcis-22628	36	24	.	.	PUNCT
fcis-22628	37	1	in	in	ADP
fcis-22628	37	2	summary	summary	NOUN
fcis-22628	37	3	,	,	PUNCT
fcis-22628	37	4	these	these	DET
fcis-22628	37	5	studies	study	NOUN
fcis-22628	37	6	have	have	AUX
fcis-22628	37	7	significantly	significantly	ADV
fcis-22628	37	8	improved	improve	VERB
fcis-22628	37	9	the	the	DET
fcis-22628	37	10	fault	fault	NOUN
fcis-22628	37	11	prediction	prediction	NOUN
fcis-22628	37	12	accuracy	accuracy	NOUN
fcis-22628	37	13	and	and	CCONJ
fcis-22628	37	14	diagnosis	diagnosis	NOUN
fcis-22628	37	15	efficiency	efficiency	NOUN
fcis-22628	37	16	of	of	ADP
fcis-22628	37	17	all	all	DET
fcis-22628	37	18	kinds	kind	NOUN
fcis-22628	37	19	of	of	ADP
fcis-22628	37	20	machinery	machinery	NOUN
fcis-22628	37	21	and	and	CCONJ
fcis-22628	37	22	equipment	equipment	NOUN
fcis-22628	37	23	,	,	PUNCT
fcis-22628	37	24	especially	especially	ADV
fcis-22628	37	25	ship	ship	NOUN
fcis-22628	37	26	power	power	NOUN
fcis-22628	37	27	systems	system	NOUN
fcis-22628	37	28	,	,	PUNCT
fcis-22628	37	29	through	through	ADP
fcis-22628	37	30	diversified	diversified	ADJ
fcis-22628	37	31	monitoring	monitoring	NOUN
fcis-22628	37	32	means	mean	NOUN
fcis-22628	37	33	and	and	CCONJ
fcis-22628	37	34	intelligent	intelligent	ADJ
fcis-22628	37	35	diagnosis	diagnosis	NOUN
fcis-22628	37	36	methods	method	NOUN
fcis-22628	37	37	.	.	PUNCT
fcis-22628	38	1	3	3	X
fcis-22628	38	2	.	.	X
fcis-22628	38	3	model	model	PROPN
fcis-22628	38	4	3.1	3.1	NUM
fcis-22628	38	5	.	.	PUNCT
fcis-22628	39	1	bp	bp	PROPN
fcis-22628	39	2	neural	neural	PROPN
fcis-22628	39	3	network	network	PROPN
fcis-22628	39	4	model	model	NOUN
fcis-22628	39	5	figure	figure	NOUN
fcis-22628	39	6	1	1	NUM
fcis-22628	39	7	.	.	PUNCT
fcis-22628	39	8	bp	bp	PROPN
fcis-22628	39	9	neural	neural	PROPN
fcis-22628	39	10	network	network	PROPN
fcis-22628	39	11	model	model	NOUN
fcis-22628	39	12	figure	figure	NOUN
fcis-22628	39	13	1	1	NUM
fcis-22628	39	14	illustrates	illustrate	VERB
fcis-22628	39	15	the	the	DET
fcis-22628	39	16	backpropagation	backpropagation	NOUN
fcis-22628	39	17	neural	neural	ADJ
fcis-22628	39	18	network	network	NOUN
fcis-22628	39	19	(	(	PUNCT
fcis-22628	39	20	bpnn	bpnn	NOUN
fcis-22628	39	21	)	)	PUNCT
fcis-22628	39	22	,	,	PUNCT
fcis-22628	39	23	which	which	PRON
fcis-22628	39	24	is	be	AUX
fcis-22628	39	25	a	a	DET
fcis-22628	39	26	prevalent	prevalent	ADJ
fcis-22628	39	27	artificial	artificial	ADJ
fcis-22628	39	28	neural	neural	ADJ
fcis-22628	39	29	network	network	NOUN
fcis-22628	39	30	model	model	NOUN
fcis-22628	39	31	employed	employ	VERB
fcis-22628	39	32	extensively	extensively	ADV
fcis-22628	39	33	for	for	ADP
fcis-22628	39	34	training	train	VERB
fcis-22628	39	35	multi	multi	ADJ
fcis-22628	39	36	-	-	ADJ
fcis-22628	39	37	layer	layer	ADJ
fcis-22628	39	38	feedforward	feedforward	NOUN
fcis-22628	39	39	architectures	architecture	NOUN
fcis-22628	39	40	.	.	PUNCT
fcis-22628	40	1	this	this	DET
fcis-22628	40	2	model	model	NOUN
fcis-22628	40	3	comprises	comprise	VERB
fcis-22628	40	4	three	three	NUM
fcis-22628	40	5	key	key	ADJ
fcis-22628	40	6	parts	part	NOUN
fcis-22628	40	7	:	:	PUNCT
fcis-22628	40	8	an	an	DET
fcis-22628	40	9	input	input	NOUN
fcis-22628	40	10	layer	layer	NOUN
fcis-22628	40	11	,	,	PUNCT
fcis-22628	40	12	one	one	NUM
fcis-22628	40	13	or	or	CCONJ
fcis-22628	40	14	more	more	ADV
fcis-22628	40	15	hidden	hidden	ADJ
fcis-22628	40	16	layers	layer	NOUN
fcis-22628	40	17	,	,	PUNCT
fcis-22628	40	18	and	and	CCONJ
fcis-22628	40	19	an	an	DET
fcis-22628	40	20	output	output	NOUN
fcis-22628	40	21	layer	layer	NOUN
fcis-22628	40	22	.	.	PUNCT
fcis-22628	41	1	each	each	DET
fcis-22628	41	2	neuron	neuron	NOUN
fcis-22628	41	3	within	within	ADP
fcis-22628	41	4	these	these	DET
fcis-22628	41	5	layers	layer	NOUN
fcis-22628	41	6	is	be	AUX
fcis-22628	41	7	interconnected	interconnect	VERB
fcis-22628	41	8	through	through	ADP
fcis-22628	41	9	weighted	weight	VERB
fcis-22628	41	10	connections	connection	NOUN
fcis-22628	41	11	,	,	PUNCT
fcis-22628	41	12	and	and	CCONJ
fcis-22628	41	13	non	non	ADJ
fcis-22628	41	14	-	-	ADJ
fcis-22628	41	15	linear	linear	ADJ
fcis-22628	41	16	activation	activation	NOUN
fcis-22628	41	17	functions	function	NOUN
fcis-22628	41	18	are	be	AUX
fcis-22628	41	19	utilized	utilize	VERB
fcis-22628	41	20	to	to	PART
fcis-22628	41	21	transform	transform	VERB
fcis-22628	41	22	the	the	DET
fcis-22628	41	23	signals	signal	NOUN
fcis-22628	41	24	.	.	PUNCT
fcis-22628	42	1	during	during	ADP
fcis-22628	42	2	the	the	DET
fcis-22628	42	3	training	training	NOUN
fcis-22628	42	4	phase	phase	NOUN
fcis-22628	42	5	,	,	PUNCT
fcis-22628	42	6	the	the	DET
fcis-22628	42	7	bpnn	bpnn	NOUN
fcis-22628	42	8	operates	operate	VERB
fcis-22628	42	9	by	by	ADP
fcis-22628	42	10	backpropagating	backpropagate	VERB
fcis-22628	42	11	errors	error	NOUN
fcis-22628	42	12	from	from	ADP
fcis-22628	42	13	the	the	DET
fcis-22628	42	14	final	final	ADJ
fcis-22628	42	15	output	output	NOUN
fcis-22628	42	16	layer	layer	NOUN
fcis-22628	42	17	towards	towards	ADP
fcis-22628	42	18	the	the	DET
fcis-22628	42	19	input	input	NOUN
fcis-22628	42	20	layer	layer	NOUN
fcis-22628	42	21	.	.	PUNCT
fcis-22628	43	1	it	it	PRON
fcis-22628	43	2	iteratively	iteratively	ADV
fcis-22628	43	3	adjusts	adjust	VERB
fcis-22628	43	4	the	the	DET
fcis-22628	43	5	weights	weight	NOUN
fcis-22628	43	6	and	and	CCONJ
fcis-22628	43	7	biases	bias	NOUN
fcis-22628	43	8	layer	layer	NOUN
fcis-22628	43	9	by	by	ADP
fcis-22628	43	10	layer	layer	NOUN
fcis-22628	43	11	,	,	PUNCT
fcis-22628	43	12	based	base	VERB
fcis-22628	43	13	on	on	ADP
fcis-22628	43	14	the	the	DET
fcis-22628	43	15	discrepancies	discrepancy	NOUN
fcis-22628	43	16	between	between	ADP
fcis-22628	43	17	the	the	DET
fcis-22628	43	18	predicted	predict	VERB
fcis-22628	43	19	and	and	CCONJ
fcis-22628	43	20	target	target	VERB
fcis-22628	43	21	outputs	output	NOUN
fcis-22628	43	22	.	.	PUNCT
fcis-22628	44	1	this	this	DET
fcis-22628	44	2	iterative	iterative	NOUN
fcis-22628	44	3	process	process	NOUN
fcis-22628	44	4	aims	aim	VERB
fcis-22628	44	5	to	to	PART
fcis-22628	44	6	gradually	gradually	ADV
fcis-22628	44	7	reduce	reduce	VERB
fcis-22628	44	8	the	the	DET
fcis-22628	44	9	cumulative	cumulative	ADJ
fcis-22628	44	10	error	error	NOUN
fcis-22628	44	11	across	across	ADP
fcis-22628	44	12	the	the	DET
fcis-22628	44	13	entire	entire	ADJ
fcis-22628	44	14	network	network	NOUN
fcis-22628	44	15	,	,	PUNCT
fcis-22628	44	16	thereby	thereby	ADV
fcis-22628	44	17	enhancing	enhance	VERB
fcis-22628	44	18	its	its	PRON
fcis-22628	44	19	accuracy	accuracy	NOUN
fcis-22628	44	20	and	and	CCONJ
fcis-22628	44	21	performance	performance	NOUN
fcis-22628	44	22	.	.	PUNCT
fcis-22628	45	1	through	through	ADP
fcis-22628	45	2	repeated	repeat	VERB
fcis-22628	45	3	iterative	iterative	NOUN
fcis-22628	45	4	training	training	NOUN
fcis-22628	45	5	,	,	PUNCT
fcis-22628	45	6	bp	bp	PROPN
fcis-22628	45	7	neural	neural	ADJ
fcis-22628	45	8	network	network	NOUN
fcis-22628	45	9	can	can	AUX
fcis-22628	45	10	learn	learn	VERB
fcis-22628	45	11	the	the	DET
fcis-22628	45	12	complex	complex	ADJ
fcis-22628	45	13	mapping	mapping	NOUN
fcis-22628	45	14	relationship	relationship	NOUN
fcis-22628	45	15	between	between	ADP
fcis-22628	45	16	input	input	NOUN
fcis-22628	45	17	and	and	CCONJ
fcis-22628	45	18	output	output	NOUN
fcis-22628	45	19	,	,	PUNCT
fcis-22628	45	20	and	and	CCONJ
fcis-22628	45	21	is	be	AUX
fcis-22628	45	22	suitable	suitable	ADJ
fcis-22628	45	23	for	for	ADP
fcis-22628	45	24	various	various	ADJ
fcis-22628	45	25	data	datum	NOUN
fcis-22628	45	26	processing	processing	NOUN
fcis-22628	45	27	tasks	task	NOUN
fcis-22628	45	28	such	such	ADJ
fcis-22628	45	29	as	as	ADP
fcis-22628	45	30	classification	classification	NOUN
fcis-22628	45	31	,	,	PUNCT
fcis-22628	45	32	regression	regression	NOUN
fcis-22628	45	33	,	,	PUNCT
fcis-22628	45	34	prediction	prediction	NOUN
fcis-22628	45	35	,	,	PUNCT
fcis-22628	45	36	etc	etc	X
fcis-22628	45	37	.	.	X
fcis-22628	45	38	,	,	PUNCT
fcis-22628	45	39	showing	show	VERB
fcis-22628	45	40	strong	strong	ADJ
fcis-22628	45	41	generalization	generalization	NOUN
fcis-22628	45	42	ability	ability	NOUN
fcis-22628	45	43	and	and	CCONJ
fcis-22628	45	44	practicability	practicability	NOUN
fcis-22628	45	45	in	in	ADP
fcis-22628	45	46	pattern	pattern	NOUN
fcis-22628	45	47	recognition	recognition	NOUN
fcis-22628	45	48	,	,	PUNCT
fcis-22628	45	49	fault	fault	VERB
fcis-22628	45	50	diagnosis	diagnosis	NOUN
fcis-22628	45	51	,	,	PUNCT
fcis-22628	45	52	machine	machine	NOUN
fcis-22628	45	53	learning	learning	NOUN
fcis-22628	45	54	and	and	CCONJ
fcis-22628	45	55	other	other	ADJ
fcis-22628	45	56	fields	field	NOUN
fcis-22628	45	57	.	.	PUNCT
fcis-22628	46	1	input	input	VERB
fcis-22628	46	2	the	the	DET
fcis-22628	46	3	hidden	hide	VERB
fcis-22628	46	4	layer	layer	NOUN
fcis-22628	46	5	of	of	ADP
fcis-22628	46	6	bp	bp	PROPN
fcis-22628	46	7	neural	neural	ADJ
fcis-22628	46	8	network	network	NOUN
fcis-22628	46	9	in	in	ADP
fcis-22628	46	10	the	the	DET
fcis-22628	46	11	fault	fault	NOUN
fcis-22628	46	12	diagnosis	diagnosis	NOUN
fcis-22628	46	13	system	system	NOUN
fcis-22628	46	14	to	to	PART
fcis-22628	46	15	output	output	VERB
fcis-22628	46	16	calculation	calculation	NOUN
fcis-22628	46	17	formula	formula	NOUN
fcis-22628	46	18	1	1	NUM
fcis-22628	46	19	:	:	PUNCT
fcis-22628	46	20	∑	∑	PROPN
fcis-22628	46	21	1	1	NUM
fcis-22628	46	22	where	where	SCONJ
fcis-22628	46	23	and	and	CCONJ
fcis-22628	46	24	b_i	b_i	PROPN
fcis-22628	46	25	are	be	AUX
fcis-22628	46	26	the	the	DET
fcis-22628	46	27	weights	weight	NOUN
fcis-22628	46	28	of	of	ADP
fcis-22628	46	29	the	the	DET
fcis-22628	46	30	input	input	NOUN
fcis-22628	46	31	layer	layer	NOUN
fcis-22628	46	32	and	and	CCONJ
fcis-22628	46	33	the	the	DET
fcis-22628	46	34	hidden	hide	VERB
fcis-22628	46	35	layer	layer	NOUN
fcis-22628	46	36	respectively	respectively	ADV
fcis-22628	46	37	.	.	PUNCT
fcis-22628	47	1	is	be	AUX
fcis-22628	47	2	the	the	DET
fcis-22628	47	3	expected	expect	VERB
fcis-22628	47	4	output	output	NOUN
fcis-22628	47	5	,	,	PUNCT
fcis-22628	47	6	and	and	CCONJ
fcis-22628	47	7	is	be	AUX
fcis-22628	47	8	the	the	DET
fcis-22628	47	9	calculated	calculate	VERB
fcis-22628	47	10	output	output	NOUN
fcis-22628	47	11	of	of	ADP
fcis-22628	47	12	bp	bp	PROPN
fcis-22628	47	13	neural	neural	ADJ
fcis-22628	47	14	network	network	NOUN
fcis-22628	47	15	.	.	PUNCT
fcis-22628	48	1	error	error	NOUN
fcis-22628	48	2	calculation	calculation	NOUN
fcis-22628	48	3	formula	formula	NOUN
fcis-22628	48	4	2	2	NUM
fcis-22628	48	5	for	for	ADP
fcis-22628	48	6	fault	fault	NOUN
fcis-22628	48	7	diagnosis	diagnosis	NOUN
fcis-22628	48	8	and	and	CCONJ
fcis-22628	48	9	prediction	prediction	NOUN
fcis-22628	48	10	is	be	AUX
fcis-22628	48	11	as	as	SCONJ
fcis-22628	48	12	follows	follow	VERB
fcis-22628	48	13	:	:	PUNCT
fcis-22628	48	14	2	2	NUM
fcis-22628	48	15	3.2	3.2	NUM
fcis-22628	48	16	.	.	PUNCT
fcis-22628	49	1	genetic	genetic	ADJ
fcis-22628	49	2	algorithm	algorithm	NOUN
fcis-22628	49	3	(	(	PUNCT
fcis-22628	49	4	ga	ga	NOUN
fcis-22628	49	5	)	)	PUNCT
fcis-22628	49	6	as	as	SCONJ
fcis-22628	49	7	shown	show	VERB
fcis-22628	49	8	in	in	ADP
fcis-22628	49	9	figure	figure	NOUN
fcis-22628	49	10	2	2	NUM
fcis-22628	49	11	,	,	PUNCT
fcis-22628	49	12	genetic	genetic	ADJ
fcis-22628	49	13	algorithm	algorithm	NOUN
fcis-22628	49	14	(	(	PUNCT
fcis-22628	49	15	ga	ga	NOUN
fcis-22628	49	16	)	)	PUNCT
fcis-22628	49	17	is	be	AUX
fcis-22628	49	18	a	a	DET
fcis-22628	49	19	global	global	ADJ
fcis-22628	49	20	optimization	optimization	NOUN
fcis-22628	49	21	search	search	NOUN
fcis-22628	49	22	algorithm	algorithm	NOUN
fcis-22628	49	23	that	that	PRON
fcis-22628	49	24	simulates	simulate	VERB
fcis-22628	49	25	the	the	DET
fcis-22628	49	26	biological	biological	ADJ
fcis-22628	49	27	evolution	evolution	NOUN
fcis-22628	49	28	mechanism	mechanism	NOUN
fcis-22628	49	29	in	in	ADP
fcis-22628	49	30	nature	nature	NOUN
fcis-22628	49	31	.	.	PUNCT
fcis-22628	50	1	through	through	ADP
fcis-22628	50	2	the	the	DET
fcis-22628	50	3	selection	selection	NOUN
fcis-22628	50	4	,	,	PUNCT
fcis-22628	50	5	crossover	crossover	NOUN
fcis-22628	50	6	(	(	PUNCT
fcis-22628	50	7	hybridization	hybridization	NOUN
fcis-22628	50	8	)	)	PUNCT
fcis-22628	50	9	and	and	CCONJ
fcis-22628	50	10	variation	variation	NOUN
fcis-22628	50	11	of	of	ADP
fcis-22628	50	12	individuals	individual	NOUN
fcis-22628	50	13	in	in	ADP
fcis-22628	50	14	the	the	DET
fcis-22628	50	15	population	population	NOUN
fcis-22628	50	16	(	(	PUNCT
fcis-22628	50	17	encoded	encode	VERB
fcis-22628	50	18	as	as	ADP
fcis-22628	50	19	the	the	DET
fcis-22628	50	20	solution	solution	NOUN
fcis-22628	50	21	space	space	NOUN
fcis-22628	50	22	representation	representation	NOUN
fcis-22628	50	23	of	of	ADP
fcis-22628	50	24	chromosomes	chromosome	NOUN
fcis-22628	50	25	)	)	PUNCT
fcis-22628	50	26	,	,	PUNCT
fcis-22628	50	27	it	it	PRON
fcis-22628	50	28	gradually	gradually	ADV
fcis-22628	50	29	iterates	iterate	VERB
fcis-22628	50	30	to	to	PART
fcis-22628	50	31	produce	produce	VERB
fcis-22628	50	32	a	a	DET
fcis-22628	50	33	new	new	ADJ
fcis-22628	50	34	generation	generation	NOUN
fcis-22628	50	35	of	of	ADP
fcis-22628	50	36	populations	population	NOUN
fcis-22628	50	37	,	,	PUNCT
fcis-22628	50	38	so	so	SCONJ
fcis-22628	50	39	as	as	SCONJ
fcis-22628	50	40	to	to	PART
fcis-22628	50	41	seek	seek	VERB
fcis-22628	50	42	the	the	DET
fcis-22628	50	43	optimal	optimal	ADJ
fcis-22628	50	44	solution	solution	NOUN
fcis-22628	50	45	.	.	PUNCT
fcis-22628	51	1	each	each	DET
fcis-22628	51	2	person	person	NOUN
fcis-22628	51	3	can	can	AUX
fcis-22628	51	4	be	be	AUX
fcis-22628	51	5	seen	see	VERB
fcis-22628	51	6	as	as	ADP
fcis-22628	51	7	a	a	DET
fcis-22628	51	8	prospective	prospective	ADJ
fcis-22628	51	9	answer	answer	NOUN
fcis-22628	51	10	to	to	ADP
fcis-22628	51	11	an	an	DET
fcis-22628	51	12	issue	issue	NOUN
fcis-22628	51	13	,	,	PUNCT
fcis-22628	51	14	and	and	CCONJ
fcis-22628	51	15	the	the	DET
fcis-22628	51	16	merit	merit	NOUN
fcis-22628	51	17	of	of	ADP
fcis-22628	51	18	this	this	DET
fcis-22628	51	19	solution	solution	NOUN
fcis-22628	51	20	is	be	AUX
fcis-22628	51	21	assessed	assess	VERB
fcis-22628	51	22	using	use	VERB
fcis-22628	51	23	the	the	DET
fcis-22628	51	24	objective	objective	ADJ
fcis-22628	51	25	function	function	NOUN
fcis-22628	51	26	.	.	PUNCT
fcis-22628	52	1	the	the	PRON
fcis-22628	52	2	greater	great	ADJ
fcis-22628	52	3	the	the	DET
fcis-22628	52	4	fitness	fitness	NOUN
fcis-22628	52	5	score	score	NOUN
fcis-22628	52	6	,	,	PUNCT
fcis-22628	52	7	the	the	PRON
fcis-22628	52	8	higher	high	ADJ
fcis-22628	52	9	the	the	DET
fcis-22628	52	10	quality	quality	NOUN
fcis-22628	52	11	of	of	ADP
fcis-22628	52	12	the	the	DET
fcis-22628	52	13	solution	solution	NOUN
fcis-22628	52	14	being	be	AUX
fcis-22628	52	15	presented	present	VERB
fcis-22628	52	16	.	.	PUNCT
fcis-22628	53	1	in	in	ADP
fcis-22628	53	2	other	other	ADJ
fcis-22628	53	3	words	word	NOUN
fcis-22628	53	4	,	,	PUNCT
fcis-22628	53	5	every	every	DET
fcis-22628	53	6	individual	individual	NOUN
fcis-22628	53	7	in	in	ADP
fcis-22628	53	8	the	the	DET
fcis-22628	53	9	context	context	NOUN
fcis-22628	53	10	of	of	ADP
fcis-22628	53	11	optimization	optimization	NOUN
fcis-22628	53	12	or	or	CCONJ
fcis-22628	53	13	problem	problem	NOUN
fcis-22628	53	14	-	-	PUNCT
fcis-22628	53	15	solving	solving	NOUN
fcis-22628	53	16	is	be	AUX
fcis-22628	53	17	akin	akin	ADJ
fcis-22628	53	18	to	to	ADP
fcis-22628	53	19	a	a	DET
fcis-22628	53	20	possible	possible	ADJ
fcis-22628	53	21	solution	solution	NOUN
fcis-22628	53	22	,	,	PUNCT
fcis-22628	53	23	and	and	CCONJ
fcis-22628	53	24	the	the	DET
fcis-22628	53	25	effectiveness	effectiveness	NOUN
fcis-22628	53	26	of	of	ADP
fcis-22628	53	27	that	that	DET
fcis-22628	53	28	solution	solution	NOUN
fcis-22628	53	29	is	be	AUX
fcis-22628	53	30	gauged	gauge	VERB
fcis-22628	53	31	through	through	ADP
fcis-22628	53	32	the	the	DET
fcis-22628	53	33	application	application	NOUN
fcis-22628	53	34	of	of	ADP
fcis-22628	53	35	an	an	DET
fcis-22628	53	36	objective	objective	ADJ
fcis-22628	53	37	function	function	NOUN
fcis-22628	53	38	.	.	PUNCT
fcis-22628	54	1	a	a	DET
fcis-22628	54	2	higher	high	ADJ
fcis-22628	54	3	fitness	fitness	NOUN
fcis-22628	54	4	value	value	NOUN
fcis-22628	54	5	implies	imply	VERB
fcis-22628	54	6	that	that	SCONJ
fcis-22628	54	7	the	the	DET
fcis-22628	54	8	solution	solution	NOUN
fcis-22628	54	9	is	be	AUX
fcis-22628	54	10	of	of	ADP
fcis-22628	54	11	superior	superior	ADJ
fcis-22628	54	12	quality	quality	NOUN
fcis-22628	54	13	.	.	PUNCT
fcis-22628	55	1	genetic	genetic	ADJ
fcis-22628	55	2	algorithm	algorithm	NOUN
fcis-22628	55	3	is	be	AUX
fcis-22628	55	4	especially	especially	ADV
fcis-22628	55	5	good	good	ADJ
fcis-22628	55	6	at	at	ADP
fcis-22628	55	7	dealing	deal	VERB
fcis-22628	55	8	with	with	ADP
fcis-22628	55	9	high	high	ADV
fcis-22628	55	10	-	-	PUNCT
fcis-22628	55	11	dimensional	dimensional	ADJ
fcis-22628	55	12	,	,	PUNCT
fcis-22628	55	13	non	non	ADJ
fcis-22628	55	14	-	-	ADJ
fcis-22628	55	15	linear	linear	ADJ
fcis-22628	55	16	,	,	PUNCT
fcis-22628	55	17	multi	multi	ADJ
fcis-22628	55	18	-	-	ADJ
fcis-22628	55	19	modal	modal	ADJ
fcis-22628	55	20	optimization	optimization	NOUN
fcis-22628	55	21	problems	problem	NOUN
fcis-22628	55	22	,	,	PUNCT
fcis-22628	55	23	and	and	CCONJ
fcis-22628	55	24	can	can	AUX
fcis-22628	55	25	maintain	maintain	VERB
fcis-22628	55	26	diversity	diversity	NOUN
fcis-22628	55	27	in	in	ADP
fcis-22628	55	28	the	the	DET
fcis-22628	55	29	solution	solution	NOUN
fcis-22628	55	30	process	process	NOUN
fcis-22628	55	31	and	and	CCONJ
fcis-22628	55	32	effectively	effectively	ADV
fcis-22628	55	33	avoid	avoid	VERB
fcis-22628	55	34	the	the	DET
fcis-22628	55	35	local	local	ADJ
fcis-22628	55	36	optimal	optimal	ADJ
fcis-22628	55	37	trap	trap	NOUN
fcis-22628	55	38	,	,	PUNCT
fcis-22628	55	39	and	and	CCONJ
fcis-22628	55	40	is	be	AUX
fcis-22628	55	41	widely	widely	ADV
fcis-22628	55	42	used	use	VERB
fcis-22628	55	43	in	in	ADP
fcis-22628	55	44	engineering	engineering	NOUN
fcis-22628	55	45	design	design	NOUN
fcis-22628	55	46	,	,	PUNCT
fcis-22628	55	47	scheduling	scheduling	NOUN
fcis-22628	55	48	optimization	optimization	NOUN
fcis-22628	55	49	,	,	PUNCT
fcis-22628	55	50	machine	machine	NOUN
fcis-22628	55	51	learning	learning	NOUN
fcis-22628	55	52	,	,	PUNCT
fcis-22628	55	53	fault	fault	VERB
fcis-22628	55	54	diagnosis	diagnosis	NOUN
fcis-22628	55	55	and	and	CCONJ
fcis-22628	55	56	many	many	ADJ
fcis-22628	55	57	other	other	ADJ
fcis-22628	55	58	fields	field	NOUN
fcis-22628	55	59	.	.	PUNCT
fcis-22628	56	1	there	there	PRON
fcis-22628	56	2	are	be	VERB
fcis-22628	56	3	two	two	NUM
fcis-22628	56	4	core	core	NOUN
fcis-22628	56	5	steps	step	NOUN
fcis-22628	56	6	:	:	PUNCT
fcis-22628	56	7	first	first	ADV
fcis-22628	56	8	,	,	PUNCT
fcis-22628	56	9	at	at	ADP
fcis-22628	56	10	the	the	DET
fcis-22628	56	11	individual	individual	ADJ
fcis-22628	56	12	representation	representation	NOUN
fcis-22628	56	13	level	level	NOUN
fcis-22628	56	14	,	,	PUNCT
fcis-22628	56	15	we	we	PRON
fcis-22628	56	16	established	establish	VERB
fcis-22628	56	17	a	a	DET
fcis-22628	56	18	encoding	encoding	NOUN
fcis-22628	56	19	form	form	NOUN
fcis-22628	56	20	in	in	ADP
fcis-22628	56	21	which	which	PRON
fcis-22628	56	22	each	each	DET
fcis-22628	56	23	individual	individual	NOUN
fcis-22628	56	24	was	be	AUX
fcis-22628	56	25	abstracting	abstract	VERB
fcis-22628	56	26	into	into	ADP
fcis-22628	56	27	a	a	DET
fcis-22628	56	28	sequence	sequence	NOUN
fcis-22628	56	29	of	of	ADP
fcis-22628	56	30	feature	feature	NOUN
fcis-22628	56	31	vectors	vector	NOUN
fcis-22628	56	32	containing	contain	VERB
fcis-22628	56	33	attribute	attribute	NOUN
fcis-22628	56	34	variables	variable	NOUN
fcis-22628	56	35	(	(	PUNCT
fcis-22628	56	36	x₁	x₁	PROPN
fcis-22628	56	37	to	to	ADP
fcis-22628	56	38	xₙ	xₙ	PROPN
fcis-22628	56	39	)	)	PUNCT
fcis-22628	56	40	corresponding	correspond	VERB
fcis-22628	56	41	to	to	ADP
fcis-22628	56	42	a	a	DET
fcis-22628	56	43	set	set	NOUN
fcis-22628	56	44	of	of	ADP
fcis-22628	56	45	candidate	candidate	NOUN
fcis-22628	56	46	features	feature	NOUN
fcis-22628	56	47	to	to	PART
fcis-22628	56	48	be	be	AUX
fcis-22628	56	49	considered	consider	VERB
fcis-22628	56	50	in	in	ADP
fcis-22628	56	51	the	the	DET
fcis-22628	56	52	ship	ship	NOUN
fcis-22628	56	53	power	power	NOUN
fcis-22628	56	54	system	system	NOUN
fcis-22628	56	55	fault	fault	NOUN
fcis-22628	56	56	diagnosis	diagnosis	NOUN
fcis-22628	56	57	.	.	PUNCT
fcis-22628	57	1	secondly	secondly	ADV
fcis-22628	57	2	,	,	PUNCT
fcis-22628	57	3	a	a	DET
fcis-22628	57	4	fitness	fitness	NOUN
fcis-22628	57	5	function	function	NOUN
fcis-22628	57	6	model	model	NOUN
fcis-22628	57	7	is	be	AUX
fcis-22628	57	8	constructed	construct	VERB
fcis-22628	57	9	,	,	PUNCT
fcis-22628	57	10	labeled	label	VERB
fcis-22628	57	11	f.	f.	PROPN
fcis-22628	57	12	in	in	ADP
fcis-22628	57	13	this	this	DET
fcis-22628	57	14	model	model	NOUN
fcis-22628	57	15	,	,	PUNCT
fcis-22628	57	16	the	the	DET
fcis-22628	57	17	accuracy	accuracy	NOUN
fcis-22628	57	18	parameter	parameter	NOUN
fcis-22628	57	19	reflects	reflect	VERB
fcis-22628	57	20	the	the	DET
fcis-22628	57	21	actual	actual	ADJ
fcis-22628	57	22	recognition	recognition	NOUN
fcis-22628	57	23	accuracy	accuracy	NOUN
fcis-22628	57	24	obtained	obtain	VERB
fcis-22628	57	25	by	by	ADP
fcis-22628	57	26	performing	perform	VERB
fcis-22628	57	27	fault	fault	NOUN
fcis-22628	57	28	classification	classification	NOUN
fcis-22628	57	29	task	task	NOUN
fcis-22628	57	30	on	on	ADP
fcis-22628	57	31	bp	bp	PROPN
fcis-22628	57	32	neural	neural	ADJ
fcis-22628	57	33	network	network	NOUN
fcis-22628	57	34	based	base	VERB
fcis-22628	57	35	on	on	ADP
fcis-22628	57	36	a	a	DET
fcis-22628	57	37	given	give	VERB
fcis-22628	57	38	feature	feature	NOUN
fcis-22628	57	39	set	set	VERB
fcis-22628	57	40	.	.	PUNCT
fcis-22628	58	1	complexity	complexity	NOUN
fcis-22628	58	2	quantifies	quantify	VERB
fcis-22628	58	3	the	the	DET
fcis-22628	58	4	dimensional	dimensional	ADJ
fcis-22628	58	5	size	size	NOUN
fcis-22628	58	6	or	or	CCONJ
fcis-22628	58	7	computational	computational	ADJ
fcis-22628	58	8	complexity	complexity	NOUN
fcis-22628	58	9	of	of	ADP
fcis-22628	58	10	the	the	DET
fcis-22628	58	11	feature	feature	NOUN
fcis-22628	58	12	set	set	VERB
fcis-22628	58	13	itself	itself	PRON
fcis-22628	58	14	.	.	PUNCT
fcis-22628	59	1	the	the	DET
fcis-22628	59	2	core	core	NOUN
fcis-22628	59	3	function	function	NOUN
fcis-22628	59	4	of	of	ADP
fcis-22628	59	5	this	this	DET
fcis-22628	59	6	fitness	fitness	NOUN
fcis-22628	59	7	function	function	NOUN
fcis-22628	59	8	is	be	AUX
fcis-22628	59	9	to	to	PART
fcis-22628	59	10	comprehensively	comprehensively	ADV
fcis-22628	59	11	evaluate	evaluate	VERB
fcis-22628	59	12	the	the	DET
fcis-22628	59	13	efficiency	efficiency	NOUN
fcis-22628	59	14	and	and	CCONJ
fcis-22628	59	15	quality	quality	NOUN
fcis-22628	59	16	of	of	ADP
fcis-22628	59	17	each	each	DET
fcis-22628	59	18	feature	feature	NOUN
fcis-22628	59	19	set	set	VERB
fcis-22628	59	20	.	.	PUNCT
fcis-22628	60	1	67	67	NUM
fcis-22628	60	2	,	,	PUNCT
fcis-22628	60	3	,	,	PUNCT
fcis-22628	60	4	3	3	NUM
fcis-22628	60	5	after	after	ADP
fcis-22628	60	6	that	that	PRON
fcis-22628	60	7	,	,	PUNCT
fcis-22628	60	8	the	the	DET
fcis-22628	60	9	genetic	genetic	ADJ
fcis-22628	60	10	algorithm	algorithm	NOUN
fcis-22628	60	11	is	be	AUX
fcis-22628	60	12	used	use	VERB
fcis-22628	60	13	to	to	PART
fcis-22628	60	14	solve	solve	VERB
fcis-22628	60	15	the	the	DET
fcis-22628	60	16	problem	problem	NOUN
fcis-22628	60	17	as	as	SCONJ
fcis-22628	60	18	follows	follow	VERB
fcis-22628	60	19	:	:	PUNCT
fcis-22628	60	20	first	first	ADV
fcis-22628	60	21	,	,	PUNCT
fcis-22628	60	22	the	the	DET
fcis-22628	60	23	population	population	NOUN
fcis-22628	60	24	is	be	AUX
fcis-22628	60	25	initialized	initialize	VERB
fcis-22628	60	26	,	,	PUNCT
fcis-22628	60	27	and	and	CCONJ
fcis-22628	60	28	a	a	DET
fcis-22628	60	29	series	series	NOUN
fcis-22628	60	30	of	of	ADP
fcis-22628	60	31	feature	feature	NOUN
fcis-22628	60	32	combinations	combination	NOUN
fcis-22628	60	33	are	be	AUX
fcis-22628	60	34	randomly	randomly	ADV
fcis-22628	60	35	constructed	construct	VERB
fcis-22628	60	36	to	to	PART
fcis-22628	60	37	form	form	VERB
fcis-22628	60	38	an	an	DET
fcis-22628	60	39	initial	initial	ADJ
fcis-22628	60	40	individual	individual	ADJ
fcis-22628	60	41	set	set	NOUN
fcis-22628	60	42	(	(	PUNCT
fcis-22628	60	43	population	population	NOUN
fcis-22628	60	44	)	)	PUNCT
fcis-22628	60	45	.	.	PUNCT
fcis-22628	61	1	the	the	DET
fcis-22628	61	2	second	second	ADJ
fcis-22628	61	3	step	step	NOUN
fcis-22628	61	4	is	be	AUX
fcis-22628	61	5	fitness	fitness	NOUN
fcis-22628	61	6	evaluation	evaluation	NOUN
fcis-22628	61	7	.	.	PUNCT
fcis-22628	62	1	for	for	ADP
fcis-22628	62	2	each	each	DET
fcis-22628	62	3	individual	individual	ADJ
fcis-22628	62	4	associated	associate	VERB
fcis-22628	62	5	feature	feature	NOUN
fcis-22628	62	6	set	set	NOUN
fcis-22628	62	7	,	,	PUNCT
fcis-22628	62	8	the	the	DET
fcis-22628	62	9	bp	bp	PROPN
fcis-22628	62	10	neural	neural	ADJ
fcis-22628	62	11	network	network	NOUN
fcis-22628	62	12	is	be	AUX
fcis-22628	62	13	used	use	VERB
fcis-22628	62	14	to	to	PART
fcis-22628	62	15	conduct	conduct	VERB
fcis-22628	62	16	fault	fault	NOUN
fcis-22628	62	17	diagnosis	diagnosis	NOUN
fcis-22628	62	18	experiments	experiment	NOUN
fcis-22628	62	19	,	,	PUNCT
fcis-22628	62	20	so	so	SCONJ
fcis-22628	62	21	as	as	SCONJ
fcis-22628	62	22	to	to	PART
fcis-22628	62	23	calculate	calculate	VERB
fcis-22628	62	24	the	the	DET
fcis-22628	62	25	corresponding	corresponding	ADJ
fcis-22628	62	26	fitness	fitness	NOUN
fcis-22628	62	27	value	value	NOUN
fcis-22628	62	28	.	.	PUNCT
fcis-22628	63	1	the	the	DET
fcis-22628	63	2	third	third	ADJ
fcis-22628	63	3	step	step	NOUN
fcis-22628	63	4	is	be	AUX
fcis-22628	63	5	to	to	PART
fcis-22628	63	6	select	select	VERB
fcis-22628	63	7	excellent	excellent	ADJ
fcis-22628	63	8	individuals	individual	NOUN
fcis-22628	63	9	to	to	PART
fcis-22628	63	10	enter	enter	VERB
fcis-22628	63	11	the	the	DET
fcis-22628	63	12	next	next	ADJ
fcis-22628	63	13	generation	generation	NOUN
fcis-22628	63	14	population	population	NOUN
fcis-22628	63	15	according	accord	VERB
fcis-22628	63	16	to	to	ADP
fcis-22628	63	17	the	the	DET
fcis-22628	63	18	fitness	fitness	NOUN
fcis-22628	63	19	value	value	NOUN
fcis-22628	63	20	.	.	PUNCT
fcis-22628	64	1	the	the	DET
fcis-22628	64	2	fourth	fourth	ADJ
fcis-22628	64	3	step	step	NOUN
fcis-22628	64	4	is	be	AUX
fcis-22628	64	5	crossover	crossover	NOUN
fcis-22628	64	6	,	,	PUNCT
fcis-22628	64	7	that	that	ADV
fcis-22628	64	8	is	is	ADV
fcis-22628	64	9	,	,	PUNCT
fcis-22628	64	10	perform	perform	VERB
fcis-22628	64	11	crossover	crossover	ADP
fcis-22628	64	12	operations	operation	NOUN
fcis-22628	64	13	to	to	PART
fcis-22628	64	14	exchange	exchange	VERB
fcis-22628	64	15	some	some	DET
fcis-22628	64	16	features	feature	NOUN
fcis-22628	64	17	of	of	ADP
fcis-22628	64	18	the	the	DET
fcis-22628	64	19	two	two	NUM
fcis-22628	64	20	parent	parent	NOUN
fcis-22628	64	21	individuals	individual	NOUN
fcis-22628	64	22	and	and	CCONJ
fcis-22628	64	23	generate	generate	VERB
fcis-22628	64	24	new	new	ADJ
fcis-22628	64	25	child	child	NOUN
fcis-22628	64	26	individuals	individual	NOUN
fcis-22628	64	27	.	.	PUNCT
fcis-22628	65	1	the	the	DET
fcis-22628	65	2	fifth	fifth	ADJ
fcis-22628	65	3	step	step	NOUN
fcis-22628	65	4	of	of	ADP
fcis-22628	65	5	variation	variation	NOUN
fcis-22628	65	6	is	be	AUX
fcis-22628	65	7	to	to	PART
fcis-22628	65	8	mutate	mutate	VERB
fcis-22628	65	9	some	some	DET
fcis-22628	65	10	characteristics	characteristic	NOUN
fcis-22628	65	11	of	of	ADP
fcis-22628	65	12	the	the	DET
fcis-22628	65	13	offspring	offspring	NOUN
fcis-22628	65	14	individuals	individual	NOUN
fcis-22628	65	15	according	accord	VERB
fcis-22628	65	16	to	to	ADP
fcis-22628	65	17	a	a	DET
fcis-22628	65	18	certain	certain	ADJ
fcis-22628	65	19	probability	probability	NOUN
fcis-22628	65	20	to	to	PART
fcis-22628	65	21	increase	increase	VERB
fcis-22628	65	22	the	the	DET
fcis-22628	65	23	diversity	diversity	NOUN
fcis-22628	65	24	of	of	ADP
fcis-22628	65	25	the	the	DET
fcis-22628	65	26	population	population	NOUN
fcis-22628	65	27	.	.	PUNCT
fcis-22628	66	1	the	the	DET
fcis-22628	66	2	sixth	sixth	ADJ
fcis-22628	66	3	step	step	NOUN
fcis-22628	66	4	involves	involve	VERB
fcis-22628	66	5	cycling	cycle	VERB
fcis-22628	66	6	through	through	ADP
fcis-22628	66	7	the	the	DET
fcis-22628	66	8	process	process	NOUN
fcis-22628	66	9	,	,	PUNCT
fcis-22628	66	10	meaning	mean	VERB
fcis-22628	66	11	that	that	SCONJ
fcis-22628	66	12	the	the	DET
fcis-22628	66	13	previous	previous	ADJ
fcis-22628	66	14	actions	action	NOUN
fcis-22628	66	15	are	be	AUX
fcis-22628	66	16	reiterated	reiterate	VERB
fcis-22628	66	17	until	until	SCONJ
fcis-22628	66	18	either	either	CCONJ
fcis-22628	66	19	the	the	DET
fcis-22628	66	20	pre	pre	ADJ
fcis-22628	66	21	-	-	ADJ
fcis-22628	66	22	established	established	ADJ
fcis-22628	66	23	limit	limit	NOUN
fcis-22628	66	24	of	of	ADP
fcis-22628	66	25	iterations	iteration	NOUN
fcis-22628	66	26	has	have	AUX
fcis-22628	66	27	been	be	AUX
fcis-22628	66	28	achieved	achieve	VERB
fcis-22628	66	29	or	or	CCONJ
fcis-22628	66	30	until	until	SCONJ
fcis-22628	66	31	a	a	DET
fcis-22628	66	32	satisfactory	satisfactory	ADJ
fcis-22628	66	33	ensemble	ensemble	NOUN
fcis-22628	66	34	of	of	ADP
fcis-22628	66	35	fault	fault	NOUN
fcis-22628	66	36	diagnosis	diagnosis	NOUN
fcis-22628	66	37	features	feature	NOUN
fcis-22628	66	38	has	have	AUX
fcis-22628	66	39	been	be	AUX
fcis-22628	66	40	successfully	successfully	ADV
fcis-22628	66	41	identified	identify	VERB
fcis-22628	66	42	.	.	PUNCT
fcis-22628	67	1	figure	figure	NOUN
fcis-22628	67	2	2	2	NUM
fcis-22628	67	3	.	.	PUNCT
fcis-22628	68	1	genetic	genetic	ADJ
fcis-22628	68	2	algorithm	algorithm	NOUN
fcis-22628	68	3	(	(	PUNCT
fcis-22628	68	4	ga	ga	PROPN
fcis-22628	68	5	)	)	PUNCT
fcis-22628	68	6	3.3	3.3	NUM
fcis-22628	68	7	.	.	PUNCT
fcis-22628	69	1	bp	bp	PROPN
fcis-22628	69	2	-	-	PUNCT
fcis-22628	69	3	ga	ga	PROPN
fcis-22628	69	4	model	model	NOUN
fcis-22628	69	5	in	in	ADP
fcis-22628	69	6	this	this	DET
fcis-22628	69	7	paper	paper	NOUN
fcis-22628	69	8	,	,	PUNCT
fcis-22628	69	9	the	the	DET
fcis-22628	69	10	advantages	advantage	NOUN
fcis-22628	69	11	of	of	ADP
fcis-22628	69	12	bp	bp	PROPN
fcis-22628	69	13	neural	neural	ADJ
fcis-22628	69	14	network	network	NOUN
fcis-22628	69	15	and	and	CCONJ
fcis-22628	69	16	genetic	genetic	ADJ
fcis-22628	69	17	algorithm	algorithm	NOUN
fcis-22628	69	18	are	be	AUX
fcis-22628	69	19	cleverly	cleverly	ADV
fcis-22628	69	20	integrated	integrate	VERB
fcis-22628	69	21	,	,	PUNCT
fcis-22628	69	22	and	and	CCONJ
fcis-22628	69	23	a	a	DET
fcis-22628	69	24	new	new	ADJ
fcis-22628	69	25	bp	bp	PROPN
fcis-22628	69	26	-	-	PUNCT
fcis-22628	69	27	ga	ga	PROPN
fcis-22628	69	28	model	model	NOUN
fcis-22628	69	29	is	be	AUX
fcis-22628	69	30	proposed	propose	VERB
fcis-22628	69	31	.	.	PUNCT
fcis-22628	70	1	the	the	DET
fcis-22628	70	2	process	process	NOUN
fcis-22628	70	3	is	be	AUX
fcis-22628	70	4	shown	show	VERB
fcis-22628	70	5	in	in	ADP
fcis-22628	70	6	figure	figure	NOUN
fcis-22628	70	7	3	3	NUM
fcis-22628	70	8	.	.	PUNCT
fcis-22628	70	9	figure	figure	NOUN
fcis-22628	70	10	3	3	NUM
fcis-22628	70	11	.	.	PUNCT
fcis-22628	70	12	bp	bp	PROPN
fcis-22628	70	13	-	-	PUNCT
fcis-22628	70	14	ga	ga	PROPN
fcis-22628	70	15	model	model	NOUN
fcis-22628	70	16	data	data	PROPN
fcis-22628	70	17	pre	pre	ADJ
fcis-22628	70	18	-	-	ADJ
fcis-22628	70	19	processing	processing	ADJ
fcis-22628	70	20	stage	stage	NOUN
fcis-22628	70	21	:	:	PUNCT
fcis-22628	70	22	first	first	ADV
fcis-22628	70	23	,	,	PUNCT
fcis-22628	70	24	collect	collect	VERB
fcis-22628	70	25	and	and	CCONJ
fcis-22628	70	26	integrate	integrate	VERB
fcis-22628	70	27	multiple	multiple	ADJ
fcis-22628	70	28	,	,	PUNCT
fcis-22628	70	29	heterogeneous	heterogeneous	ADJ
fcis-22628	70	30	and	and	CCONJ
fcis-22628	70	31	massive	massive	ADJ
fcis-22628	70	32	operation	operation	NOUN
fcis-22628	70	33	data	datum	NOUN
fcis-22628	70	34	of	of	ADP
fcis-22628	70	35	the	the	DET
fcis-22628	70	36	ship	ship	NOUN
fcis-22628	70	37	power	power	NOUN
fcis-22628	70	38	system	system	NOUN
fcis-22628	70	39	,	,	PUNCT
fcis-22628	70	40	including	include	VERB
fcis-22628	70	41	but	but	CCONJ
fcis-22628	70	42	not	not	PART
fcis-22628	70	43	limited	limit	VERB
fcis-22628	70	44	to	to	PART
fcis-22628	70	45	sensor	sensor	VERB
fcis-22628	70	46	monitoring	monitoring	NOUN
fcis-22628	70	47	data	datum	NOUN
fcis-22628	70	48	,	,	PUNCT
fcis-22628	70	49	equipment	equipment	NOUN
fcis-22628	70	50	status	status	NOUN
fcis-22628	70	51	parameters	parameter	NOUN
fcis-22628	70	52	,	,	PUNCT
fcis-22628	70	53	fault	fault	NOUN
fcis-22628	70	54	records	record	NOUN
fcis-22628	70	55	,	,	PUNCT
fcis-22628	70	56	etc	etc	X
fcis-22628	70	57	.	.	X
fcis-22628	70	58	through	through	ADP
fcis-22628	70	59	data	datum	NOUN
fcis-22628	70	60	cleaning	cleaning	NOUN
fcis-22628	70	61	,	,	PUNCT
fcis-22628	70	62	normalization	normalization	NOUN
fcis-22628	70	63	and	and	CCONJ
fcis-22628	70	64	other	other	ADJ
fcis-22628	70	65	preprocessing	preprocessing	NOUN
fcis-22628	70	66	methods	method	NOUN
fcis-22628	70	67	,	,	PUNCT
fcis-22628	70	68	the	the	DET
fcis-22628	70	69	original	original	ADJ
fcis-22628	70	70	data	datum	NOUN
fcis-22628	70	71	is	be	AUX
fcis-22628	70	72	transformed	transform	VERB
fcis-22628	70	73	into	into	ADP
fcis-22628	70	74	a	a	DET
fcis-22628	70	75	form	form	NOUN
fcis-22628	70	76	suitable	suitable	ADJ
fcis-22628	70	77	for	for	ADP
fcis-22628	70	78	model	model	NOUN
fcis-22628	70	79	input	input	NOUN
fcis-22628	70	80	.	.	PUNCT
fcis-22628	71	1	feature	feature	NOUN
fcis-22628	71	2	selection	selection	NOUN
fcis-22628	71	3	stage	stage	NOUN
fcis-22628	71	4	:	:	PUNCT
fcis-22628	71	5	genetic	genetic	ADJ
fcis-22628	71	6	algorithm	algorithm	NOUN
fcis-22628	71	7	is	be	AUX
fcis-22628	71	8	used	use	VERB
fcis-22628	71	9	for	for	ADP
fcis-22628	71	10	feature	feature	NOUN
fcis-22628	71	11	selection	selection	NOUN
fcis-22628	71	12	and	and	CCONJ
fcis-22628	71	13	optimization	optimization	NOUN
fcis-22628	71	14	.	.	PUNCT
fcis-22628	72	1	according	accord	VERB
fcis-22628	72	2	to	to	ADP
fcis-22628	72	3	the	the	DET
fcis-22628	72	4	requirements	requirement	NOUN
fcis-22628	72	5	of	of	ADP
fcis-22628	72	6	fault	fault	NOUN
fcis-22628	72	7	diagnosis	diagnosis	NOUN
fcis-22628	72	8	,	,	PUNCT
fcis-22628	72	9	the	the	DET
fcis-22628	72	10	fitness	fitness	NOUN
fcis-22628	72	11	function	function	NOUN
fcis-22628	72	12	is	be	AUX
fcis-22628	72	13	designed	design	VERB
fcis-22628	72	14	,	,	PUNCT
fcis-22628	72	15	and	and	CCONJ
fcis-22628	72	16	the	the	DET
fcis-22628	72	17	feature	feature	NOUN
fcis-22628	72	18	subset	subset	VERB
fcis-22628	72	19	that	that	PRON
fcis-22628	72	20	is	be	AUX
fcis-22628	72	21	most	most	ADV
fcis-22628	72	22	influential	influential	ADJ
fcis-22628	72	23	to	to	PART
fcis-22628	72	24	fault	fault	VERB
fcis-22628	72	25	diagnosis	diagnosis	NOUN
fcis-22628	72	26	is	be	AUX
fcis-22628	72	27	screened	screen	VERB
fcis-22628	72	28	through	through	ADP
fcis-22628	72	29	genetic	genetic	ADJ
fcis-22628	72	30	operations	operation	NOUN
fcis-22628	72	31	such	such	ADJ
fcis-22628	72	32	as	as	ADP
fcis-22628	72	33	population	population	NOUN
fcis-22628	72	34	initialization	initialization	NOUN
fcis-22628	72	35	,	,	PUNCT
fcis-22628	72	36	selection	selection	NOUN
fcis-22628	72	37	,	,	PUNCT
fcis-22628	72	38	crossover	crossover	NOUN
fcis-22628	72	39	and	and	CCONJ
fcis-22628	72	40	mutation	mutation	NOUN
fcis-22628	72	41	,	,	PUNCT
fcis-22628	72	42	so	so	SCONJ
fcis-22628	72	43	as	as	SCONJ
fcis-22628	72	44	to	to	PART
fcis-22628	72	45	reduce	reduce	VERB
fcis-22628	72	46	the	the	DET
fcis-22628	72	47	model	model	NOUN
fcis-22628	72	48	complexity	complexity	NOUN
fcis-22628	72	49	and	and	CCONJ
fcis-22628	72	50	improve	improve	VERB
fcis-22628	72	51	the	the	DET
fcis-22628	72	52	diagnosis	diagnosis	NOUN
fcis-22628	72	53	efficiency	efficiency	NOUN
fcis-22628	72	54	.	.	PUNCT
fcis-22628	73	1	bp	bp	PROPN
fcis-22628	73	2	neural	neural	ADJ
fcis-22628	73	3	network	network	NOUN
fcis-22628	73	4	construction	construction	NOUN
fcis-22628	73	5	stage	stage	NOUN
fcis-22628	73	6	:	:	PUNCT
fcis-22628	73	7	using	use	VERB
fcis-22628	73	8	the	the	DET
fcis-22628	73	9	optimized	optimize	VERB
fcis-22628	73	10	feature	feature	NOUN
fcis-22628	73	11	set	set	VERB
fcis-22628	73	12	to	to	PART
fcis-22628	73	13	build	build	VERB
fcis-22628	73	14	the	the	DET
fcis-22628	73	15	bp	bp	PROPN
fcis-22628	73	16	neural	neural	PROPN
fcis-22628	73	17	network	network	PROPN
fcis-22628	73	18	model	model	NOUN
fcis-22628	73	19	.	.	PUNCT
fcis-22628	74	1	the	the	DET
fcis-22628	74	2	model	model	NOUN
fcis-22628	74	3	typically	typically	ADV
fcis-22628	74	4	consists	consist	VERB
fcis-22628	74	5	of	of	ADP
fcis-22628	74	6	an	an	DET
fcis-22628	74	7	input	input	NOUN
fcis-22628	74	8	layer	layer	NOUN
fcis-22628	74	9	(	(	PUNCT
fcis-22628	74	10	corresponding	correspond	VERB
fcis-22628	74	11	to	to	ADP
fcis-22628	74	12	selected	select	VERB
fcis-22628	74	13	feature	feature	NOUN
fcis-22628	74	14	variables	variable	NOUN
fcis-22628	74	15	)	)	PUNCT
fcis-22628	74	16	,	,	PUNCT
fcis-22628	74	17	a	a	DET
fcis-22628	74	18	hidden	hidden	ADJ
fcis-22628	74	19	layer	layer	NOUN
fcis-22628	74	20	(	(	PUNCT
fcis-22628	74	21	performing	perform	VERB
fcis-22628	74	22	nonlinear	nonlinear	ADJ
fcis-22628	74	23	transformations	transformation	NOUN
fcis-22628	74	24	and	and	CCONJ
fcis-22628	74	25	feature	feature	NOUN
fcis-22628	74	26	learning	learning	NOUN
fcis-22628	74	27	)	)	PUNCT
fcis-22628	74	28	,	,	PUNCT
fcis-22628	74	29	and	and	CCONJ
fcis-22628	74	30	an	an	DET
fcis-22628	74	31	output	output	NOUN
fcis-22628	74	32	layer	layer	NOUN
fcis-22628	74	33	(	(	PUNCT
fcis-22628	74	34	giving	give	VERB
fcis-22628	74	35	probabilistic	probabilistic	ADJ
fcis-22628	74	36	predictions	prediction	NOUN
fcis-22628	74	37	of	of	ADP
fcis-22628	74	38	fault	fault	NOUN
fcis-22628	74	39	types	type	NOUN
fcis-22628	74	40	)	)	PUNCT
fcis-22628	74	41	.	.	PUNCT
fcis-22628	75	1	the	the	DET
fcis-22628	75	2	weight	weight	NOUN
fcis-22628	75	3	and	and	CCONJ
fcis-22628	75	4	threshold	threshold	NOUN
fcis-22628	75	5	of	of	ADP
fcis-22628	75	6	the	the	DET
fcis-22628	75	7	network	network	NOUN
fcis-22628	75	8	are	be	AUX
fcis-22628	75	9	trained	train	VERB
fcis-22628	75	10	by	by	ADP
fcis-22628	75	11	the	the	DET
fcis-22628	75	12	backpropagation	backpropagation	NOUN
fcis-22628	75	13	algorithm	algorithm	NOUN
fcis-22628	75	14	,	,	PUNCT
fcis-22628	75	15	so	so	SCONJ
fcis-22628	75	16	that	that	SCONJ
fcis-22628	75	17	the	the	DET
fcis-22628	75	18	model	model	NOUN
fcis-22628	75	19	can	can	AUX
fcis-22628	75	20	accurately	accurately	ADV
fcis-22628	75	21	fit	fit	VERB
fcis-22628	75	22	the	the	DET
fcis-22628	75	23	fault	fault	NOUN
fcis-22628	75	24	data	datum	NOUN
fcis-22628	75	25	,	,	PUNCT
fcis-22628	75	26	and	and	CCONJ
fcis-22628	75	27	realize	realize	VERB
fcis-22628	75	28	the	the	DET
fcis-22628	75	29	identification	identification	NOUN
fcis-22628	75	30	and	and	CCONJ
fcis-22628	75	31	prediction	prediction	NOUN
fcis-22628	75	32	of	of	ADP
fcis-22628	75	33	all	all	DET
fcis-22628	75	34	kinds	kind	NOUN
fcis-22628	75	35	of	of	ADP
fcis-22628	75	36	faults	fault	NOUN
fcis-22628	75	37	in	in	ADP
fcis-22628	75	38	the	the	DET
fcis-22628	75	39	ship	ship	NOUN
fcis-22628	75	40	power	power	NOUN
fcis-22628	75	41	system	system	NOUN
fcis-22628	75	42	.	.	PUNCT
fcis-22628	76	1	during	during	ADP
fcis-22628	76	2	the	the	DET
fcis-22628	76	3	stage	stage	NOUN
fcis-22628	76	4	of	of	ADP
fcis-22628	76	5	integration	integration	NOUN
fcis-22628	76	6	and	and	CCONJ
fcis-22628	76	7	refinement	refinement	NOUN
fcis-22628	76	8	,	,	PUNCT
fcis-22628	76	9	we	we	PRON
fcis-22628	76	10	merge	merge	VERB
fcis-22628	76	11	the	the	DET
fcis-22628	76	12	genetically	genetically	ADV
fcis-22628	76	13	optimized	optimize	VERB
fcis-22628	76	14	feature	feature	NOUN
fcis-22628	76	15	set	set	VERB
fcis-22628	76	16	with	with	ADP
fcis-22628	76	17	a	a	DET
fcis-22628	76	18	backpropagation	backpropagation	NOUN
fcis-22628	76	19	neural	neural	ADJ
fcis-22628	76	20	network	network	NOUN
fcis-22628	76	21	(	(	PUNCT
fcis-22628	76	22	bpnn	bpnn	NOUN
fcis-22628	76	23	)	)	PUNCT
fcis-22628	76	24	to	to	PART
fcis-22628	76	25	establish	establish	VERB
fcis-22628	76	26	a	a	DET
fcis-22628	76	27	holistic	holistic	ADJ
fcis-22628	76	28	model	model	NOUN
fcis-22628	76	29	.	.	PUNCT
fcis-22628	77	1	the	the	DET
fcis-22628	77	2	bpnn	bpnn	NOUN
fcis-22628	77	3	's	's	PART
fcis-22628	77	4	preliminary	preliminary	ADJ
fcis-22628	77	5	parameter	parameter	NOUN
fcis-22628	77	6	configurations	configuration	NOUN
fcis-22628	77	7	and	and	CCONJ
fcis-22628	77	8	architectural	architectural	ADJ
fcis-22628	77	9	design	design	NOUN
fcis-22628	77	10	undergo	undergo	VERB
fcis-22628	77	11	continuous	continuous	ADJ
fcis-22628	77	12	,	,	PUNCT
fcis-22628	77	13	iterative	iterative	NOUN
fcis-22628	77	14	refinement	refinement	NOUN
fcis-22628	77	15	via	via	ADP
fcis-22628	77	16	the	the	DET
fcis-22628	77	17	genetic	genetic	ADJ
fcis-22628	77	18	algorithm	algorithm	NOUN
fcis-22628	77	19	.	.	PUNCT
fcis-22628	78	1	this	this	DET
fcis-22628	78	2	rigorous	rigorous	ADJ
fcis-22628	78	3	optimization	optimization	NOUN
fcis-22628	78	4	process	process	NOUN
fcis-22628	78	5	ensures	ensure	VERB
fcis-22628	78	6	that	that	SCONJ
fcis-22628	78	7	when	when	SCONJ
fcis-22628	78	8	confronted	confront	VERB
fcis-22628	78	9	with	with	ADP
fcis-22628	78	10	the	the	DET
fcis-22628	78	11	intricate	intricate	ADJ
fcis-22628	78	12	and	and	CCONJ
fcis-22628	78	13	variable	variable	ADJ
fcis-22628	78	14	data	datum	NOUN
fcis-22628	78	15	scenarios	scenario	NOUN
fcis-22628	78	16	in	in	ADP
fcis-22628	78	17	a	a	DET
fcis-22628	78	18	ship	ship	NOUN
fcis-22628	78	19	's	's	PART
fcis-22628	78	20	power	power	NOUN
fcis-22628	78	21	system	system	NOUN
fcis-22628	78	22	,	,	PUNCT
fcis-22628	78	23	our	our	PRON
fcis-22628	78	24	entire	entire	ADJ
fcis-22628	78	25	fault	fault	NOUN
fcis-22628	78	26	diagnostic	diagnostic	ADJ
fcis-22628	78	27	system	system	NOUN
fcis-22628	78	28	can	can	AUX
fcis-22628	78	29	execute	execute	VERB
fcis-22628	78	30	fault	fault	NOUN
fcis-22628	78	31	identification	identification	NOUN
fcis-22628	78	32	and	and	CCONJ
fcis-22628	78	33	early	early	ADJ
fcis-22628	78	34	warning	warning	NOUN
fcis-22628	78	35	tasks	task	NOUN
fcis-22628	78	36	with	with	ADP
fcis-22628	78	37	significantly	significantly	ADV
fcis-22628	78	38	heightened	heighten	VERB
fcis-22628	78	39	precision	precision	NOUN
fcis-22628	78	40	and	and	CCONJ
fcis-22628	78	41	expedited	expedite	VERB
fcis-22628	78	42	speed	speed	NOUN
fcis-22628	78	43	.	.	PUNCT
fcis-22628	79	1	in	in	ADP
fcis-22628	79	2	the	the	DET
fcis-22628	79	3	practical	practical	ADJ
fcis-22628	79	4	application	application	NOUN
fcis-22628	79	5	and	and	CCONJ
fcis-22628	79	6	verification	verification	NOUN
fcis-22628	79	7	stage	stage	NOUN
fcis-22628	79	8	,	,	PUNCT
fcis-22628	79	9	we	we	PRON
fcis-22628	79	10	will	will	AUX
fcis-22628	79	11	deploy	deploy	VERB
fcis-22628	79	12	the	the	DET
fcis-22628	79	13	constructed	construct	VERB
fcis-22628	79	14	composite	composite	ADJ
fcis-22628	79	15	model	model	NOUN
fcis-22628	79	16	in	in	ADP
fcis-22628	79	17	the	the	DET
fcis-22628	79	18	real	real	ADJ
fcis-22628	79	19	fault	fault	NOUN
fcis-22628	79	20	diagnosis	diagnosis	NOUN
fcis-22628	79	21	environment	environment	NOUN
fcis-22628	79	22	of	of	ADP
fcis-22628	79	23	the	the	DET
fcis-22628	79	24	ship	ship	NOUN
fcis-22628	79	25	power	power	NOUN
fcis-22628	79	26	system	system	NOUN
fcis-22628	79	27	to	to	PART
fcis-22628	79	28	monitor	monitor	VERB
fcis-22628	79	29	the	the	DET
fcis-22628	79	30	running	run	VERB
fcis-22628	79	31	state	state	NOUN
fcis-22628	79	32	of	of	ADP
fcis-22628	79	33	the	the	DET
fcis-22628	79	34	ship	ship	NOUN
fcis-22628	79	35	power	power	NOUN
fcis-22628	79	36	system	system	NOUN
fcis-22628	79	37	in	in	ADP
fcis-22628	79	38	real	real	ADJ
fcis-22628	79	39	time	time	NOUN
fcis-22628	79	40	.	.	PUNCT
fcis-22628	80	1	the	the	DET
fcis-22628	80	2	model	model	NOUN
fcis-22628	80	3	will	will	AUX
fcis-22628	80	4	receive	receive	VERB
fcis-22628	80	5	and	and	CCONJ
fcis-22628	80	6	analyze	analyze	VERB
fcis-22628	80	7	the	the	DET
fcis-22628	80	8	obtained	obtain	VERB
fcis-22628	80	9	data	data	NOUN
fcis-22628	80	10	information	information	NOUN
fcis-22628	80	11	in	in	ADP
fcis-22628	80	12	real	real	ADJ
fcis-22628	80	13	time	time	NOUN
fcis-22628	80	14	,	,	PUNCT
fcis-22628	80	15	and	and	CCONJ
fcis-22628	80	16	then	then	ADV
fcis-22628	80	17	generate	generate	VERB
fcis-22628	80	18	fault	fault	NOUN
fcis-22628	80	19	prediction	prediction	NOUN
fcis-22628	80	20	results	result	NOUN
fcis-22628	80	21	.	.	PUNCT
fcis-22628	81	1	by	by	ADP
fcis-22628	81	2	comparing	compare	VERB
fcis-22628	81	3	the	the	DET
fcis-22628	81	4	actual	actual	ADJ
fcis-22628	81	5	fault	fault	NOUN
fcis-22628	81	6	conditions	condition	NOUN
fcis-22628	81	7	,	,	PUNCT
fcis-22628	81	8	we	we	PRON
fcis-22628	81	9	constantly	constantly	ADV
fcis-22628	81	10	adjust	adjust	VERB
fcis-22628	81	11	and	and	CCONJ
fcis-22628	81	12	improve	improve	VERB
fcis-22628	81	13	the	the	DET
fcis-22628	81	14	model	model	NOUN
fcis-22628	81	15	performance	performance	NOUN
fcis-22628	81	16	.	.	PUNCT
fcis-22628	82	1	this	this	DET
fcis-22628	82	2	process	process	NOUN
fcis-22628	82	3	aims	aim	VERB
fcis-22628	82	4	to	to	PART
fcis-22628	82	5	verify	verify	VERB
fcis-22628	82	6	the	the	DET
fcis-22628	82	7	effectiveness	effectiveness	NOUN
fcis-22628	82	8	and	and	CCONJ
fcis-22628	82	9	practicability	practicability	NOUN
fcis-22628	82	10	of	of	ADP
fcis-22628	82	11	the	the	DET
fcis-22628	82	12	model	model	NOUN
fcis-22628	82	13	in	in	ADP
fcis-22628	82	14	practical	practical	ADJ
fcis-22628	82	15	application	application	NOUN
fcis-22628	82	16	scenarios	scenario	NOUN
fcis-22628	82	17	such	such	ADJ
fcis-22628	82	18	as	as	ADP
fcis-22628	82	19	enhancing	enhance	VERB
fcis-22628	82	20	the	the	DET
fcis-22628	82	21	accuracy	accuracy	NOUN
fcis-22628	82	22	of	of	ADP
fcis-22628	82	23	fault	fault	NOUN
fcis-22628	82	24	diagnosis	diagnosis	NOUN
fcis-22628	82	25	,	,	PUNCT
fcis-22628	82	26	reducing	reduce	VERB
fcis-22628	82	27	maintenance	maintenance	NOUN
fcis-22628	82	28	expenditure	expenditure	NOUN
fcis-22628	82	29	,	,	PUNCT
fcis-22628	82	30	and	and	CCONJ
fcis-22628	82	31	ensuring	ensure	VERB
fcis-22628	82	32	navigation	navigation	NOUN
fcis-22628	82	33	safety	safety	NOUN
fcis-22628	82	34	.	.	PUNCT
fcis-22628	83	1	4	4	X
fcis-22628	83	2	.	.	X
fcis-22628	83	3	experiment	experiment	NOUN
fcis-22628	83	4	4.1	4.1	NUM
fcis-22628	83	5	.	.	PUNCT
fcis-22628	84	1	data	datum	NOUN
fcis-22628	84	2	set	set	VERB
fcis-22628	84	3	this	this	DET
fcis-22628	84	4	research	research	NOUN
fcis-22628	84	5	draws	draw	VERB
fcis-22628	84	6	upon	upon	SCONJ
fcis-22628	84	7	an	an	DET
fcis-22628	84	8	experimental	experimental	ADJ
fcis-22628	84	9	dataset	dataset	NOUN
fcis-22628	84	10	sourced	source	VERB
fcis-22628	84	11	from	from	ADP
fcis-22628	84	12	a	a	DET
fcis-22628	84	13	ship	ship	NOUN
fcis-22628	84	14	's	's	PART
fcis-22628	84	15	power	power	NOUN
fcis-22628	84	16	system	system	NOUN
fcis-22628	84	17	operating	operate	VERB
fcis-22628	84	18	in	in	ADP
fcis-22628	84	19	genuine	genuine	ADJ
fcis-22628	84	20	environmental	environmental	ADJ
fcis-22628	84	21	conditions	condition	NOUN
fcis-22628	84	22	,	,	PUNCT
fcis-22628	84	23	encompassing	encompass	VERB
fcis-22628	84	24	a	a	DET
fcis-22628	84	25	broad	broad	ADJ
fcis-22628	84	26	spectrum	spectrum	NOUN
fcis-22628	84	27	of	of	ADP
fcis-22628	84	28	data	datum	NOUN
fcis-22628	84	29	categories	category	NOUN
fcis-22628	84	30	and	and	CCONJ
fcis-22628	84	31	origins	origin	NOUN
fcis-22628	84	32	.	.	PUNCT
fcis-22628	85	1	the	the	DET
fcis-22628	85	2	dataset	dataset	NOUN
fcis-22628	85	3	includes	include	VERB
fcis-22628	85	4	,	,	PUNCT
fcis-22628	85	5	among	among	ADP
fcis-22628	85	6	others	other	NOUN
fcis-22628	85	7	,	,	PUNCT
fcis-22628	85	8	live	live	ADJ
fcis-22628	85	9	operational	operational	ADJ
fcis-22628	85	10	status	status	NOUN
fcis-22628	85	11	data	datum	NOUN
fcis-22628	85	12	,	,	PUNCT
fcis-22628	85	13	alarm	alarm	NOUN
fcis-22628	85	14	details	detail	NOUN
fcis-22628	85	15	,	,	PUNCT
fcis-22628	85	16	maintenance	maintenance	NOUN
fcis-22628	85	17	logs	log	NOUN
fcis-22628	85	18	,	,	PUNCT
fcis-22628	85	19	and	and	CCONJ
fcis-22628	85	20	historical	historical	ADJ
fcis-22628	85	21	fault	fault	NOUN
fcis-22628	85	22	cases	case	NOUN
fcis-22628	85	23	emanating	emanate	VERB
fcis-22628	85	24	from	from	ADP
fcis-22628	85	25	core	core	NOUN
fcis-22628	85	26	propulsion	propulsion	NOUN
fcis-22628	85	27	machinery	machinery	NOUN
fcis-22628	85	28	such	such	ADJ
fcis-22628	85	29	as	as	ADP
fcis-22628	85	30	main	main	ADJ
fcis-22628	85	31	engines	engine	NOUN
fcis-22628	85	32	,	,	PUNCT
fcis-22628	85	33	auxiliary	auxiliary	ADJ
fcis-22628	85	34	engines	engine	NOUN
fcis-22628	85	35	,	,	PUNCT
fcis-22628	85	36	and	and	CCONJ
fcis-22628	85	37	their	their	PRON
fcis-22628	85	38	respective	respective	ADJ
fcis-22628	85	39	control	control	NOUN
fcis-22628	85	40	systems	system	NOUN
fcis-22628	85	41	,	,	PUNCT
fcis-22628	85	42	alongside	alongside	ADP
fcis-22628	85	43	electrical	electrical	ADJ
fcis-22628	85	44	apparatuses	apparatus	NOUN
fcis-22628	85	45	,	,	PUNCT
fcis-22628	85	46	hydraulic	hydraulic	ADJ
fcis-22628	85	47	systems	system	NOUN
fcis-22628	85	48	,	,	PUNCT
fcis-22628	85	49	and	and	CCONJ
fcis-22628	85	50	associated	associate	VERB
fcis-22628	85	51	sensor	sensor	NOUN
fcis-22628	85	52	networks	network	NOUN
fcis-22628	85	53	.	.	PUNCT
fcis-22628	86	1	these	these	DET
fcis-22628	86	2	data	datum	NOUN
fcis-22628	86	3	sets	set	NOUN
fcis-22628	86	4	are	be	AUX
fcis-22628	86	5	large	large	ADJ
fcis-22628	86	6	in	in	ADP
fcis-22628	86	7	scale	scale	NOUN
fcis-22628	86	8	,	,	PUNCT
fcis-22628	86	9	diverse	diverse	ADJ
fcis-22628	86	10	in	in	ADP
fcis-22628	86	11	structure	structure	NOUN
fcis-22628	86	12	and	and	CCONJ
fcis-22628	86	13	dynamically	dynamically	ADV
fcis-22628	86	14	updated	update	VERB
fcis-22628	86	15	,	,	PUNCT
fcis-22628	86	16	reflecting	reflect	VERB
fcis-22628	86	17	the	the	DET
fcis-22628	86	18	complexity	complexity	NOUN
fcis-22628	86	19	and	and	CCONJ
fcis-22628	86	20	nonlinear	nonlinear	ADJ
fcis-22628	86	21	characteristics	characteristic	NOUN
fcis-22628	86	22	of	of	ADP
fcis-22628	86	23	ship	ship	NOUN
fcis-22628	86	24	power	power	NOUN
fcis-22628	86	25	system	system	NOUN
fcis-22628	86	26	operation	operation	NOUN
fcis-22628	86	27	.	.	PUNCT
fcis-22628	87	1	specifically	specifically	ADV
fcis-22628	87	2	,	,	PUNCT
fcis-22628	87	3	the	the	DET
fcis-22628	87	4	experimental	experimental	ADJ
fcis-22628	87	5	data	datum	NOUN
fcis-22628	87	6	set	set	VERB
fcis-22628	87	7	contains	contain	VERB
fcis-22628	87	8	a	a	DET
fcis-22628	87	9	large	large	ADJ
fcis-22628	87	10	number	number	NOUN
fcis-22628	87	11	of	of	ADP
fcis-22628	87	12	continuous	continuous	ADJ
fcis-22628	87	13	real	real	ADJ
fcis-22628	87	14	-	-	PUNCT
fcis-22628	87	15	time	time	NOUN
fcis-22628	87	16	monitoring	monitoring	NOUN
fcis-22628	87	17	data	datum	NOUN
fcis-22628	87	18	,	,	PUNCT
fcis-22628	87	19	such	such	ADJ
fcis-22628	87	20	as	as	ADP
fcis-22628	87	21	temperature	temperature	NOUN
fcis-22628	87	22	,	,	PUNCT
fcis-22628	87	23	pressure	pressure	NOUN
fcis-22628	87	24	,	,	PUNCT
fcis-22628	87	25	speed	speed	NOUN
fcis-22628	87	26	,	,	PUNCT
fcis-22628	87	27	vibration	vibration	NOUN
fcis-22628	87	28	,	,	PUNCT
fcis-22628	87	29	noise	noise	NOUN
fcis-22628	87	30	and	and	CCONJ
fcis-22628	87	31	other	other	ADJ
fcis-22628	87	32	key	key	ADJ
fcis-22628	87	33	parameters	parameter	NOUN
fcis-22628	87	34	,	,	PUNCT
fcis-22628	87	35	as	as	ADV
fcis-22628	87	36	well	well	ADV
fcis-22628	87	37	as	as	ADP
fcis-22628	87	38	various	various	ADJ
fcis-22628	87	39	equipment	equipment	NOUN
fcis-22628	87	40	working	working	NOUN
fcis-22628	87	41	mode	mode	NOUN
fcis-22628	87	42	,	,	PUNCT
fcis-22628	87	43	load	load	NOUN
fcis-22628	87	44	status	status	NOUN
fcis-22628	87	45	,	,	PUNCT
fcis-22628	87	46	energy	energy	NOUN
fcis-22628	87	47	consumption	consumption	NOUN
fcis-22628	87	48	indicators	indicator	NOUN
fcis-22628	87	49	and	and	CCONJ
fcis-22628	87	50	other	other	ADJ
fcis-22628	87	51	information	information	NOUN
fcis-22628	87	52	.	.	PUNCT
fcis-22628	88	1	at	at	ADP
fcis-22628	88	2	the	the	DET
fcis-22628	88	3	same	same	ADJ
fcis-22628	88	4	time	time	NOUN
fcis-22628	88	5	,	,	PUNCT
fcis-22628	88	6	there	there	PRON
fcis-22628	88	7	are	be	VERB
fcis-22628	88	8	some	some	DET
fcis-22628	88	9	discrete	discrete	ADJ
fcis-22628	88	10	data	datum	NOUN
fcis-22628	88	11	,	,	PUNCT
fcis-22628	88	12	such	such	ADJ
fcis-22628	88	13	as	as	ADP
fcis-22628	88	14	equipment	equipment	NOUN
fcis-22628	88	15	start	start	VERB
fcis-22628	88	16	and	and	CCONJ
fcis-22628	88	17	stop	stop	VERB
fcis-22628	88	18	state	state	NOUN
fcis-22628	88	19	,	,	PUNCT
fcis-22628	88	20	fault	fault	VERB
fcis-22628	88	21	alarm	alarm	NOUN
fcis-22628	88	22	signal	signal	NOUN
fcis-22628	88	23	.	.	PUNCT
fcis-22628	89	1	all	all	PRON
fcis-22628	89	2	of	of	ADP
fcis-22628	89	3	this	this	DET
fcis-22628	89	4	data	data	NOUN
fcis-22628	89	5	is	be	AUX
fcis-22628	89	6	pre	pre	ADJ
fcis-22628	89	7	-	-	VERB
fcis-22628	89	8	processed	processed	ADJ
fcis-22628	89	9	and	and	CCONJ
fcis-22628	89	10	standardized	standardize	VERB
fcis-22628	89	11	to	to	PART
fcis-22628	89	12	facilitate	facilitate	VERB
fcis-22628	89	13	effective	effective	ADJ
fcis-22628	89	14	integration	integration	NOUN
fcis-22628	89	15	and	and	CCONJ
fcis-22628	89	16	deep	deep	ADJ
fcis-22628	89	17	mining	mining	NOUN
fcis-22628	89	18	using	use	VERB
fcis-22628	89	19	big	big	ADJ
fcis-22628	89	20	data	datum	NOUN
fcis-22628	89	21	processing	processing	NOUN
fcis-22628	89	22	techniques	technique	NOUN
fcis-22628	89	23	.	.	PUNCT
fcis-22628	90	1	in	in	ADP
fcis-22628	90	2	the	the	DET
fcis-22628	90	3	stage	stage	NOUN
fcis-22628	90	4	of	of	ADP
fcis-22628	90	5	building	build	VERB
fcis-22628	90	6	fault	fault	NOUN
fcis-22628	90	7	diagnosis	diagnosis	NOUN
fcis-22628	90	8	model	model	NOUN
fcis-22628	90	9	,	,	PUNCT
fcis-22628	90	10	the	the	DET
fcis-22628	90	11	research	research	NOUN
fcis-22628	90	12	team	team	NOUN
fcis-22628	90	13	carefully	carefully	ADV
fcis-22628	90	14	selected	select	VERB
fcis-22628	90	15	representative	representative	ADJ
fcis-22628	90	16	fault	fault	NOUN
fcis-22628	90	17	sample	sample	NOUN
fcis-22628	90	18	68	68	NUM
fcis-22628	90	19	data	datum	NOUN
fcis-22628	90	20	based	base	VERB
fcis-22628	90	21	on	on	ADP
fcis-22628	90	22	actual	actual	ADJ
fcis-22628	90	23	fault	fault	NOUN
fcis-22628	90	24	cases	case	NOUN
fcis-22628	90	25	for	for	ADP
fcis-22628	90	26	training	training	NOUN
fcis-22628	90	27	and	and	CCONJ
fcis-22628	90	28	verifying	verify	VERB
fcis-22628	90	29	the	the	DET
fcis-22628	90	30	intelligent	intelligent	ADJ
fcis-22628	90	31	fault	fault	NOUN
fcis-22628	90	32	diagnosis	diagnosis	NOUN
fcis-22628	90	33	model	model	NOUN
fcis-22628	90	34	that	that	PRON
fcis-22628	90	35	integrates	integrate	VERB
fcis-22628	90	36	machine	machine	NOUN
fcis-22628	90	37	learning	learning	NOUN
fcis-22628	90	38	and	and	CCONJ
fcis-22628	90	39	deep	deep	ADJ
fcis-22628	90	40	learning	learning	NOUN
fcis-22628	90	41	algorithms	algorithm	NOUN
fcis-22628	90	42	.	.	PUNCT
fcis-22628	91	1	through	through	ADP
fcis-22628	91	2	the	the	DET
fcis-22628	91	3	model	model	NOUN
fcis-22628	91	4	learning	learning	NOUN
fcis-22628	91	5	and	and	CCONJ
fcis-22628	91	6	iterative	iterative	NOUN
fcis-22628	91	7	optimization	optimization	NOUN
fcis-22628	91	8	of	of	ADP
fcis-22628	91	9	massive	massive	ADJ
fcis-22628	91	10	data	datum	NOUN
fcis-22628	91	11	,	,	PUNCT
fcis-22628	91	12	the	the	DET
fcis-22628	91	13	automatic	automatic	ADJ
fcis-22628	91	14	feature	feature	NOUN
fcis-22628	91	15	extraction	extraction	NOUN
fcis-22628	91	16	and	and	CCONJ
fcis-22628	91	17	accurate	accurate	ADJ
fcis-22628	91	18	identification	identification	NOUN
fcis-22628	91	19	of	of	ADP
fcis-22628	91	20	various	various	ADJ
fcis-22628	91	21	typical	typical	ADJ
fcis-22628	91	22	faults	fault	NOUN
fcis-22628	91	23	of	of	ADP
fcis-22628	91	24	the	the	DET
fcis-22628	91	25	ship	ship	NOUN
fcis-22628	91	26	power	power	NOUN
fcis-22628	91	27	system	system	NOUN
fcis-22628	91	28	are	be	AUX
fcis-22628	91	29	realized	realize	VERB
fcis-22628	91	30	,	,	PUNCT
fcis-22628	91	31	so	so	SCONJ
fcis-22628	91	32	as	as	SCONJ
fcis-22628	91	33	to	to	PART
fcis-22628	91	34	achieve	achieve	VERB
fcis-22628	91	35	the	the	DET
fcis-22628	91	36	purpose	purpose	NOUN
fcis-22628	91	37	of	of	ADP
fcis-22628	91	38	early	early	ADJ
fcis-22628	91	39	warning	warning	NOUN
fcis-22628	91	40	and	and	CCONJ
fcis-22628	91	41	rapid	rapid	ADJ
fcis-22628	91	42	fault	fault	NOUN
fcis-22628	91	43	location	location	NOUN
fcis-22628	91	44	.	.	PUNCT
fcis-22628	92	1	finally	finally	ADV
fcis-22628	92	2	,	,	PUNCT
fcis-22628	92	3	in	in	ADP
fcis-22628	92	4	a	a	DET
fcis-22628	92	5	series	series	NOUN
fcis-22628	92	6	of	of	ADP
fcis-22628	92	7	practical	practical	ADJ
fcis-22628	92	8	application	application	NOUN
fcis-22628	92	9	cases	case	NOUN
fcis-22628	92	10	,	,	PUNCT
fcis-22628	92	11	the	the	DET
fcis-22628	92	12	superior	superior	ADJ
fcis-22628	92	13	performance	performance	NOUN
fcis-22628	92	14	of	of	ADP
fcis-22628	92	15	the	the	DET
fcis-22628	92	16	big	big	ADJ
fcis-22628	92	17	data	datum	NOUN
fcis-22628	92	18	intelligent	intelligent	ADJ
fcis-22628	92	19	fault	fault	NOUN
fcis-22628	92	20	diagnosis	diagnosis	NOUN
fcis-22628	92	21	system	system	NOUN
fcis-22628	92	22	in	in	ADP
fcis-22628	92	23	improving	improve	VERB
fcis-22628	92	24	diagnosis	diagnosis	NOUN
fcis-22628	92	25	efficiency	efficiency	NOUN
fcis-22628	92	26	,	,	PUNCT
fcis-22628	92	27	reducing	reduce	VERB
fcis-22628	92	28	cost	cost	NOUN
fcis-22628	92	29	and	and	CCONJ
fcis-22628	92	30	ensuring	ensure	VERB
fcis-22628	92	31	navigation	navigation	NOUN
fcis-22628	92	32	safety	safety	NOUN
fcis-22628	92	33	is	be	AUX
fcis-22628	92	34	confirmed	confirm	VERB
fcis-22628	92	35	.	.	PUNCT
fcis-22628	93	1	4.2	4.2	NUM
fcis-22628	93	2	.	.	PUNCT
fcis-22628	93	3	evaluation	evaluation	NOUN
fcis-22628	93	4	index	index	NOUN
fcis-22628	93	5	diagnostic	diagnostic	ADJ
fcis-22628	93	6	accuracy	accuracy	NOUN
fcis-22628	93	7	:	:	PUNCT
fcis-22628	93	8	this	this	PRON
fcis-22628	93	9	is	be	AUX
fcis-22628	93	10	the	the	DET
fcis-22628	93	11	most	most	ADV
fcis-22628	93	12	basic	basic	ADJ
fcis-22628	93	13	and	and	CCONJ
fcis-22628	93	14	important	important	ADJ
fcis-22628	93	15	evaluation	evaluation	NOUN
fcis-22628	93	16	index	index	NOUN
fcis-22628	93	17	,	,	PUNCT
fcis-22628	93	18	which	which	PRON
fcis-22628	93	19	is	be	AUX
fcis-22628	93	20	used	use	VERB
fcis-22628	93	21	to	to	PART
fcis-22628	93	22	measure	measure	VERB
fcis-22628	93	23	the	the	DET
fcis-22628	93	24	accuracy	accuracy	NOUN
fcis-22628	93	25	of	of	ADP
fcis-22628	93	26	the	the	DET
fcis-22628	93	27	model	model	NOUN
fcis-22628	93	28	to	to	PART
fcis-22628	93	29	identify	identify	VERB
fcis-22628	93	30	the	the	DET
fcis-22628	93	31	fault	fault	NOUN
fcis-22628	93	32	types	type	NOUN
fcis-22628	93	33	of	of	ADP
fcis-22628	93	34	the	the	DET
fcis-22628	93	35	ship	ship	NOUN
fcis-22628	93	36	power	power	NOUN
fcis-22628	93	37	system	system	NOUN
fcis-22628	93	38	.	.	PUNCT
fcis-22628	94	1	the	the	DET
fcis-22628	94	2	classification	classification	NOUN
fcis-22628	94	3	accuracy	accuracy	NOUN
fcis-22628	94	4	of	of	ADP
fcis-22628	94	5	the	the	DET
fcis-22628	94	6	model	model	NOUN
fcis-22628	94	7	on	on	ADP
fcis-22628	94	8	the	the	DET
fcis-22628	94	9	test	test	NOUN
fcis-22628	94	10	set	set	NOUN
fcis-22628	94	11	can	can	AUX
fcis-22628	94	12	be	be	AUX
fcis-22628	94	13	calculated	calculate	VERB
fcis-22628	94	14	by	by	ADP
fcis-22628	94	15	cross	cross	NOUN
fcis-22628	94	16	-	-	ADJ
fcis-22628	94	17	validation	validation	ADJ
fcis-22628	94	18	and	and	CCONJ
fcis-22628	94	19	other	other	ADJ
fcis-22628	94	20	methods	method	NOUN
fcis-22628	94	21	.	.	PUNCT
fcis-22628	95	1	recall	recall	NOUN
fcis-22628	95	2	rate	rate	NOUN
fcis-22628	95	3	:	:	PUNCT
fcis-22628	95	4	it	it	PRON
fcis-22628	95	5	is	be	AUX
fcis-22628	95	6	how	how	SCONJ
fcis-22628	95	7	many	many	ADJ
fcis-22628	95	8	truly	truly	ADV
fcis-22628	95	9	relevant	relevant	ADJ
fcis-22628	95	10	instances	instance	NOUN
fcis-22628	95	11	the	the	DET
fcis-22628	95	12	model	model	NOUN
fcis-22628	95	13	or	or	CCONJ
fcis-22628	95	14	system	system	NOUN
fcis-22628	95	15	can	can	AUX
fcis-22628	95	16	find	find	VERB
fcis-22628	95	17	,	,	PUNCT
fcis-22628	95	18	that	that	ADV
fcis-22628	95	19	is	is	ADV
fcis-22628	95	20	,	,	PUNCT
fcis-22628	95	21	the	the	DET
fcis-22628	95	22	proportion	proportion	NOUN
fcis-22628	95	23	of	of	ADP
fcis-22628	95	24	all	all	DET
fcis-22628	95	25	samples	sample	NOUN
fcis-22628	95	26	that	that	PRON
fcis-22628	95	27	are	be	AUX
fcis-22628	95	28	actually	actually	ADV
fcis-22628	95	29	positive	positive	ADJ
fcis-22628	95	30	that	that	SCONJ
fcis-22628	95	31	the	the	DET
fcis-22628	95	32	model	model	NOUN
fcis-22628	95	33	successfully	successfully	ADV
fcis-22628	95	34	identifies	identify	VERB
fcis-22628	95	35	.	.	PUNCT
fcis-22628	96	1	in	in	ADP
fcis-22628	96	2	areas	area	NOUN
fcis-22628	96	3	such	such	ADJ
fcis-22628	96	4	as	as	ADP
fcis-22628	96	5	fault	fault	NOUN
fcis-22628	96	6	diagnosis	diagnosis	NOUN
fcis-22628	96	7	,	,	PUNCT
fcis-22628	96	8	the	the	DET
fcis-22628	96	9	high	high	ADJ
fcis-22628	96	10	recall	recall	NOUN
fcis-22628	96	11	rate	rate	NOUN
fcis-22628	96	12	means	mean	VERB
fcis-22628	96	13	that	that	SCONJ
fcis-22628	96	14	the	the	DET
fcis-22628	96	15	model	model	NOUN
fcis-22628	96	16	can	can	AUX
fcis-22628	96	17	find	find	VERB
fcis-22628	96	18	more	more	ADV
fcis-22628	96	19	actual	actual	ADJ
fcis-22628	96	20	problems	problem	NOUN
fcis-22628	96	21	and	and	CCONJ
fcis-22628	96	22	reduce	reduce	VERB
fcis-22628	96	23	the	the	DET
fcis-22628	96	24	risk	risk	NOUN
fcis-22628	96	25	of	of	ADP
fcis-22628	96	26	missed	miss	VERB
fcis-22628	96	27	diagnosis	diagnosis	NOUN
fcis-22628	96	28	or	or	CCONJ
fcis-22628	96	29	omission	omission	NOUN
fcis-22628	96	30	of	of	ADP
fcis-22628	96	31	important	important	ADJ
fcis-22628	96	32	events	event	NOUN
fcis-22628	96	33	.	.	PUNCT
fcis-22628	97	1	the	the	DET
fcis-22628	97	2	evaluation	evaluation	NOUN
fcis-22628	97	3	formula	formula	NOUN
fcis-22628	97	4	is	be	AUX
fcis-22628	97	5	shown	show	VERB
fcis-22628	97	6	in	in	ADP
fcis-22628	97	7	publicity	publicity	NOUN
fcis-22628	97	8	4	4	NUM
fcis-22628	97	9	:	:	SYM
fcis-22628	97	10	4	4	NUM
fcis-22628	97	11	precision	precision	NOUN
fcis-22628	97	12	:	:	PUNCT
fcis-22628	97	13	for	for	ADP
fcis-22628	97	14	multi	multi	ADJ
fcis-22628	97	15	-	-	ADJ
fcis-22628	97	16	class	class	ADJ
fcis-22628	97	17	fault	fault	NOUN
fcis-22628	97	18	diagnosis	diagnosis	NOUN
fcis-22628	97	19	problems	problem	NOUN
fcis-22628	97	20	,	,	PUNCT
fcis-22628	97	21	recall	recall	NOUN
fcis-22628	97	22	rate	rate	NOUN
fcis-22628	97	23	and	and	CCONJ
fcis-22628	97	24	precision	precision	NOUN
fcis-22628	97	25	rate	rate	NOUN
fcis-22628	97	26	can	can	AUX
fcis-22628	97	27	be	be	AUX
fcis-22628	97	28	used	use	VERB
fcis-22628	97	29	to	to	PART
fcis-22628	97	30	evaluate	evaluate	VERB
fcis-22628	97	31	the	the	DET
fcis-22628	97	32	model	model	NOUN
fcis-22628	97	33	's	's	PART
fcis-22628	97	34	ability	ability	NOUN
fcis-22628	97	35	to	to	PART
fcis-22628	97	36	detect	detect	VERB
fcis-22628	97	37	various	various	ADJ
fcis-22628	97	38	types	type	NOUN
fcis-22628	97	39	of	of	ADP
fcis-22628	97	40	faults	fault	NOUN
fcis-22628	97	41	and	and	CCONJ
fcis-22628	97	42	avoid	avoid	VERB
fcis-22628	97	43	false	false	ADJ
fcis-22628	97	44	positives	positive	NOUN
fcis-22628	97	45	and	and	CCONJ
fcis-22628	97	46	missed	miss	VERB
fcis-22628	97	47	positives	positive	NOUN
fcis-22628	97	48	.	.	PUNCT
fcis-22628	98	1	the	the	DET
fcis-22628	98	2	calculation	calculation	NOUN
fcis-22628	98	3	is	be	AUX
fcis-22628	98	4	shown	show	VERB
fcis-22628	98	5	in	in	ADP
fcis-22628	98	6	publication	publication	NOUN
fcis-22628	98	7	5	5	NUM
fcis-22628	98	8	:	:	SYM
fcis-22628	98	9	5	5	NUM
fcis-22628	98	10	f1	f1	NOUN
fcis-22628	98	11	score	score	NOUN
fcis-22628	98	12	:	:	PUNCT
fcis-22628	98	13	the	the	DET
fcis-22628	98	14	f1	f1	PROPN
fcis-22628	98	15	score	score	NOUN
fcis-22628	98	16	acts	act	VERB
fcis-22628	98	17	as	as	ADP
fcis-22628	98	18	a	a	DET
fcis-22628	98	19	unifying	unifying	ADJ
fcis-22628	98	20	metric	metric	NOUN
fcis-22628	98	21	that	that	PRON
fcis-22628	98	22	blends	blend	VERB
fcis-22628	98	23	the	the	DET
fcis-22628	98	24	recall	recall	NOUN
fcis-22628	98	25	rate	rate	NOUN
fcis-22628	98	26	and	and	CCONJ
fcis-22628	98	27	precision	precision	NOUN
fcis-22628	98	28	rate	rate	NOUN
fcis-22628	98	29	into	into	ADP
fcis-22628	98	30	a	a	DET
fcis-22628	98	31	single	single	ADJ
fcis-22628	98	32	measure	measure	NOUN
fcis-22628	98	33	,	,	PUNCT
fcis-22628	98	34	thereby	thereby	ADV
fcis-22628	98	35	providing	provide	VERB
fcis-22628	98	36	a	a	DET
fcis-22628	98	37	comprehensive	comprehensive	ADJ
fcis-22628	98	38	reflection	reflection	NOUN
fcis-22628	98	39	of	of	ADP
fcis-22628	98	40	a	a	DET
fcis-22628	98	41	model	model	NOUN
fcis-22628	98	42	's	's	PART
fcis-22628	98	43	performance	performance	NOUN
fcis-22628	98	44	in	in	ADP
fcis-22628	98	45	both	both	DET
fcis-22628	98	46	accuracy	accuracy	NOUN
fcis-22628	98	47	and	and	CCONJ
fcis-22628	98	48	completeness	completeness	NOUN
fcis-22628	98	49	of	of	ADP
fcis-22628	98	50	detection	detection	NOUN
fcis-22628	98	51	.	.	PUNCT
fcis-22628	99	1	it	it	PRON
fcis-22628	99	2	calculates	calculate	VERB
fcis-22628	99	3	the	the	DET
fcis-22628	99	4	harmonic	harmonic	ADJ
fcis-22628	99	5	mean	mean	NOUN
fcis-22628	99	6	of	of	ADP
fcis-22628	99	7	precision	precision	NOUN
fcis-22628	99	8	and	and	CCONJ
fcis-22628	99	9	recall	recall	NOUN
fcis-22628	99	10	values	value	NOUN
fcis-22628	99	11	.	.	PUNCT
fcis-22628	100	1	when	when	SCONJ
fcis-22628	100	2	examining	examine	VERB
fcis-22628	100	3	the	the	DET
fcis-22628	100	4	experimental	experimental	ADJ
fcis-22628	100	5	findings	finding	NOUN
fcis-22628	100	6	,	,	PUNCT
fcis-22628	100	7	this	this	DET
fcis-22628	100	8	metric	metric	NOUN
fcis-22628	100	9	offers	offer	VERB
fcis-22628	100	10	valuable	valuable	ADJ
fcis-22628	100	11	insights	insight	NOUN
fcis-22628	100	12	.	.	PUNCT
fcis-22628	101	1	4.3	4.3	NUM
fcis-22628	101	2	.	.	PUNCT
fcis-22628	101	3	experimental	experimental	ADJ
fcis-22628	101	4	result	result	NOUN
fcis-22628	101	5	table	table	NOUN
fcis-22628	101	6	1	1	NUM
fcis-22628	101	7	.	.	PUNCT
fcis-22628	101	8	comparison	comparison	NOUN
fcis-22628	101	9	of	of	ADP
fcis-22628	101	10	experimental	experimental	ADJ
fcis-22628	101	11	results	result	NOUN
fcis-22628	101	12	model	model	PROPN
fcis-22628	101	13	recall	recall	PROPN
fcis-22628	101	14	precision	precision	PROPN
fcis-22628	101	15	f1	f1	PROPN
fcis-22628	101	16	bp	bp	PROPN
fcis-22628	101	17	98.70	98.70	NUM
fcis-22628	101	18	%	%	NOUN
fcis-22628	101	19	96.14	96.14	NUM
fcis-22628	101	20	%	%	NOUN
fcis-22628	101	21	97.42	97.42	NUM
fcis-22628	101	22	%	%	NOUN
fcis-22628	101	23	ga	ga	PROPN
fcis-22628	101	24	97.65	97.65	NUM
fcis-22628	101	25	%	%	NOUN
fcis-22628	101	26	95.67	95.67	NUM
fcis-22628	101	27	%	%	NOUN
fcis-22628	101	28	96.66	96.66	NUM
fcis-22628	101	29	%	%	NOUN
fcis-22628	101	30	bp	bp	PROPN
fcis-22628	101	31	-	-	PUNCT
fcis-22628	101	32	ga	ga	PROPN
fcis-22628	101	33	99.23	99.23	NUM
fcis-22628	101	34	%	%	NOUN
fcis-22628	101	35	98.34	98.34	NUM
fcis-22628	101	36	%	%	NOUN
fcis-22628	101	37	98.79	98.79	NUM
fcis-22628	101	38	%	%	NOUN
fcis-22628	101	39	according	accord	VERB
fcis-22628	101	40	to	to	ADP
fcis-22628	101	41	the	the	DET
fcis-22628	101	42	experimental	experimental	ADJ
fcis-22628	101	43	results	result	NOUN
fcis-22628	101	44	in	in	ADP
fcis-22628	101	45	table	table	NOUN
fcis-22628	101	46	1	1	NUM
fcis-22628	101	47	,	,	PUNCT
fcis-22628	101	48	we	we	PRON
fcis-22628	101	49	can	can	AUX
fcis-22628	101	50	compare	compare	VERB
fcis-22628	101	51	and	and	CCONJ
fcis-22628	101	52	analyze	analyze	VERB
fcis-22628	101	53	the	the	DET
fcis-22628	101	54	performance	performance	NOUN
fcis-22628	101	55	of	of	ADP
fcis-22628	101	56	three	three	NUM
fcis-22628	101	57	different	different	ADJ
fcis-22628	101	58	models	model	NOUN
fcis-22628	101	59	,	,	PUNCT
fcis-22628	101	60	bp	bp	PROPN
fcis-22628	101	61	model	model	PROPN
fcis-22628	101	62	,	,	PUNCT
fcis-22628	101	63	ga	ga	PROPN
fcis-22628	101	64	model	model	NOUN
fcis-22628	101	65	and	and	CCONJ
fcis-22628	101	66	their	their	PRON
fcis-22628	101	67	integrated	integrated	ADJ
fcis-22628	101	68	model	model	NOUN
fcis-22628	101	69	(	(	PUNCT
fcis-22628	101	70	bpga	bpga	NOUN
fcis-22628	101	71	)	)	PUNCT
fcis-22628	101	72	,	,	PUNCT
fcis-22628	101	73	in	in	ADP
fcis-22628	101	74	the	the	DET
fcis-22628	101	75	fault	fault	NOUN
fcis-22628	101	76	diagnosis	diagnosis	NOUN
fcis-22628	101	77	of	of	ADP
fcis-22628	101	78	ship	ship	NOUN
fcis-22628	101	79	power	power	NOUN
fcis-22628	101	80	system	system	NOUN
fcis-22628	101	81	:	:	PUNCT
fcis-22628	101	82	recall	recall	VERB
fcis-22628	101	83	:	:	PUNCT
fcis-22628	101	84	this	this	DET
fcis-22628	101	85	measure	measure	NOUN
fcis-22628	101	86	measures	measure	VERB
fcis-22628	101	87	the	the	DET
fcis-22628	101	88	model	model	NOUN
fcis-22628	101	89	's	's	PART
fcis-22628	101	90	ability	ability	NOUN
fcis-22628	101	91	to	to	PART
fcis-22628	101	92	correctly	correctly	ADV
fcis-22628	101	93	identify	identify	VERB
fcis-22628	101	94	failure	failure	NOUN
fcis-22628	101	95	samples	sample	NOUN
fcis-22628	101	96	.	.	PUNCT
fcis-22628	102	1	the	the	DET
fcis-22628	102	2	data	datum	NOUN
fcis-22628	102	3	show	show	VERB
fcis-22628	102	4	that	that	SCONJ
fcis-22628	102	5	the	the	DET
fcis-22628	102	6	recall	recall	NOUN
fcis-22628	102	7	rate	rate	NOUN
fcis-22628	102	8	of	of	ADP
fcis-22628	102	9	the	the	DET
fcis-22628	102	10	bp	bp	PROPN
fcis-22628	102	11	neural	neural	PROPN
fcis-22628	102	12	network	network	NOUN
fcis-22628	102	13	model	model	NOUN
fcis-22628	102	14	is	be	AUX
fcis-22628	102	15	98.70	98.70	NUM
fcis-22628	102	16	%	%	NOUN
fcis-22628	102	17	,	,	PUNCT
fcis-22628	102	18	the	the	DET
fcis-22628	102	19	genetic	genetic	ADJ
fcis-22628	102	20	algorithm	algorithm	NOUN
fcis-22628	102	21	model	model	NOUN
fcis-22628	102	22	is	be	AUX
fcis-22628	102	23	97.65	97.65	NUM
fcis-22628	102	24	%	%	NOUN
fcis-22628	102	25	,	,	PUNCT
fcis-22628	102	26	and	and	CCONJ
fcis-22628	102	27	the	the	DET
fcis-22628	102	28	bp	bp	PROPN
fcis-22628	102	29	-	-	PUNCT
fcis-22628	102	30	ga	ga	PROPN
fcis-22628	102	31	hybrid	hybrid	NOUN
fcis-22628	102	32	model	model	NOUN
fcis-22628	102	33	reaches	reach	VERB
fcis-22628	102	34	the	the	DET
fcis-22628	102	35	highest	high	ADJ
fcis-22628	102	36	99.23	99.23	NUM
fcis-22628	102	37	%	%	NOUN
fcis-22628	102	38	.	.	PUNCT
fcis-22628	103	1	this	this	PRON
fcis-22628	103	2	means	mean	VERB
fcis-22628	103	3	that	that	SCONJ
fcis-22628	103	4	bp	bp	PROPN
fcis-22628	103	5	-	-	PUNCT
fcis-22628	103	6	ga	ga	PROPN
fcis-22628	103	7	hybrid	hybrid	NOUN
fcis-22628	103	8	model	model	NOUN
fcis-22628	103	9	has	have	VERB
fcis-22628	103	10	the	the	DET
fcis-22628	103	11	best	good	ADJ
fcis-22628	103	12	performance	performance	NOUN
fcis-22628	103	13	in	in	ADP
fcis-22628	103	14	identifying	identify	VERB
fcis-22628	103	15	fault	fault	NOUN
fcis-22628	103	16	samples	sample	NOUN
fcis-22628	103	17	and	and	CCONJ
fcis-22628	103	18	can	can	AUX
fcis-22628	103	19	minimize	minimize	VERB
fcis-22628	103	20	the	the	DET
fcis-22628	103	21	possibility	possibility	NOUN
fcis-22628	103	22	of	of	ADP
fcis-22628	103	23	missed	miss	VERB
fcis-22628	103	24	faults	fault	NOUN
fcis-22628	103	25	.	.	PUNCT
fcis-22628	104	1	precision	precision	NOUN
fcis-22628	104	2	:	:	PUNCT
fcis-22628	104	3	this	this	DET
fcis-22628	104	4	indicator	indicator	NOUN
fcis-22628	104	5	reflects	reflect	VERB
fcis-22628	104	6	how	how	SCONJ
fcis-22628	104	7	many	many	ADJ
fcis-22628	104	8	of	of	ADP
fcis-22628	104	9	the	the	DET
fcis-22628	104	10	samples	sample	NOUN
fcis-22628	104	11	predicted	predict	VERB
fcis-22628	104	12	by	by	ADP
fcis-22628	104	13	the	the	DET
fcis-22628	104	14	model	model	NOUN
fcis-22628	104	15	to	to	PART
fcis-22628	104	16	be	be	AUX
fcis-22628	104	17	failures	failure	NOUN
fcis-22628	104	18	are	be	AUX
fcis-22628	104	19	actually	actually	ADV
fcis-22628	104	20	failures	failure	NOUN
fcis-22628	104	21	.	.	PUNCT
fcis-22628	105	1	the	the	DET
fcis-22628	105	2	accuracy	accuracy	NOUN
fcis-22628	105	3	of	of	ADP
fcis-22628	105	4	the	the	DET
fcis-22628	105	5	bp	bp	PROPN
fcis-22628	105	6	neural	neural	PROPN
fcis-22628	105	7	network	network	NOUN
fcis-22628	105	8	model	model	NOUN
fcis-22628	105	9	is	be	AUX
fcis-22628	105	10	96.14	96.14	NUM
fcis-22628	105	11	%	%	NOUN
fcis-22628	105	12	,	,	PUNCT
fcis-22628	105	13	the	the	DET
fcis-22628	105	14	genetic	genetic	ADJ
fcis-22628	105	15	algorithm	algorithm	NOUN
fcis-22628	105	16	model	model	NOUN
fcis-22628	105	17	is	be	AUX
fcis-22628	105	18	95.67	95.67	NUM
fcis-22628	105	19	%	%	NOUN
fcis-22628	105	20	,	,	PUNCT
fcis-22628	105	21	and	and	CCONJ
fcis-22628	105	22	the	the	DET
fcis-22628	105	23	bp	bp	PROPN
fcis-22628	105	24	-	-	PUNCT
fcis-22628	105	25	ga	ga	PROPN
fcis-22628	105	26	hybrid	hybrid	NOUN
fcis-22628	105	27	model	model	NOUN
fcis-22628	105	28	is	be	AUX
fcis-22628	105	29	as	as	ADV
fcis-22628	105	30	high	high	ADJ
fcis-22628	105	31	as	as	ADP
fcis-22628	105	32	98.34	98.34	NUM
fcis-22628	105	33	%	%	NOUN
fcis-22628	105	34	.	.	PUNCT
fcis-22628	106	1	this	this	PRON
fcis-22628	106	2	shows	show	VERB
fcis-22628	106	3	that	that	SCONJ
fcis-22628	106	4	the	the	DET
fcis-22628	106	5	bp	bp	PROPN
fcis-22628	106	6	-	-	PUNCT
fcis-22628	106	7	ga	ga	PROPN
fcis-22628	106	8	hybrid	hybrid	NOUN
fcis-22628	106	9	model	model	NOUN
fcis-22628	106	10	has	have	VERB
fcis-22628	106	11	a	a	DET
fcis-22628	106	12	significant	significant	ADJ
fcis-22628	106	13	improvement	improvement	NOUN
fcis-22628	106	14	in	in	ADP
fcis-22628	106	15	avoiding	avoid	VERB
fcis-22628	106	16	false	false	ADJ
fcis-22628	106	17	positives	positive	NOUN
fcis-22628	106	18	compared	compare	VERB
fcis-22628	106	19	to	to	ADP
fcis-22628	106	20	the	the	DET
fcis-22628	106	21	other	other	ADJ
fcis-22628	106	22	two	two	NUM
fcis-22628	106	23	models	model	NOUN
fcis-22628	106	24	,	,	PUNCT
fcis-22628	106	25	reducing	reduce	VERB
fcis-22628	106	26	the	the	DET
fcis-22628	106	27	risk	risk	NOUN
fcis-22628	106	28	of	of	ADP
fcis-22628	106	29	misidentifying	misidentify	VERB
fcis-22628	106	30	normal	normal	ADJ
fcis-22628	106	31	samples	sample	NOUN
fcis-22628	106	32	as	as	ADP
fcis-22628	106	33	faulty	faulty	ADJ
fcis-22628	106	34	samples	sample	NOUN
fcis-22628	106	35	.	.	PUNCT
fcis-22628	107	1	f1	f1	NOUN
fcis-22628	107	2	score	score	NOUN
fcis-22628	107	3	(	(	PUNCT
fcis-22628	107	4	f1	f1	NOUN
fcis-22628	107	5	):	):	PUNCT
fcis-22628	107	6	the	the	DET
fcis-22628	107	7	f1	f1	NOUN
fcis-22628	107	8	score	score	NOUN
fcis-22628	107	9	serves	serve	VERB
fcis-22628	107	10	as	as	ADP
fcis-22628	107	11	a	a	DET
fcis-22628	107	12	harmonized	harmonized	ADJ
fcis-22628	107	13	metric	metric	NOUN
fcis-22628	107	14	that	that	PRON
fcis-22628	107	15	equally	equally	ADV
fcis-22628	107	16	weighs	weigh	VERB
fcis-22628	107	17	precision	precision	NOUN
fcis-22628	107	18	and	and	CCONJ
fcis-22628	107	19	recall	recall	NOUN
fcis-22628	107	20	,	,	PUNCT
fcis-22628	107	21	thereby	thereby	ADV
fcis-22628	107	22	offering	offer	VERB
fcis-22628	107	23	a	a	DET
fcis-22628	107	24	holistic	holistic	ADJ
fcis-22628	107	25	evaluation	evaluation	NOUN
fcis-22628	107	26	of	of	ADP
fcis-22628	107	27	a	a	DET
fcis-22628	107	28	model	model	NOUN
fcis-22628	107	29	's	's	PART
fcis-22628	107	30	effectiveness	effectiveness	NOUN
fcis-22628	107	31	.	.	PUNCT
fcis-22628	108	1	with	with	ADP
fcis-22628	108	2	the	the	DET
fcis-22628	108	3	bp	bp	PROPN
fcis-22628	108	4	(	(	PUNCT
fcis-22628	108	5	backpropagation	backpropagation	NOUN
fcis-22628	108	6	)	)	PUNCT
fcis-22628	108	7	model	model	NOUN
fcis-22628	108	8	achieving	achieve	VERB
fcis-22628	108	9	an	an	DET
fcis-22628	108	10	f1	f1	ADJ
fcis-22628	108	11	score	score	NOUN
fcis-22628	108	12	of	of	ADP
fcis-22628	108	13	97.42	97.42	NUM
fcis-22628	108	14	%	%	NOUN
fcis-22628	108	15	,	,	PUNCT
fcis-22628	108	16	the	the	DET
fcis-22628	108	17	genetic	genetic	ADJ
fcis-22628	108	18	algorithm	algorithm	NOUN
fcis-22628	108	19	model	model	NOUN
fcis-22628	108	20	attaining	attain	VERB
fcis-22628	108	21	96.66	96.66	NUM
fcis-22628	108	22	%	%	NOUN
fcis-22628	108	23	,	,	PUNCT
fcis-22628	108	24	and	and	CCONJ
fcis-22628	108	25	the	the	DET
fcis-22628	108	26	bpga	bpga	NOUN
fcis-22628	108	27	hybrid	hybrid	NOUN
fcis-22628	108	28	model	model	NOUN
fcis-22628	108	29	topping	top	VERB
fcis-22628	108	30	the	the	DET
fcis-22628	108	31	chart	chart	NOUN
fcis-22628	108	32	at	at	ADP
fcis-22628	108	33	98.79	98.79	NUM
fcis-22628	108	34	%	%	NOUN
fcis-22628	108	35	,	,	PUNCT
fcis-22628	108	36	it	it	PRON
fcis-22628	108	37	becomes	become	VERB
fcis-22628	108	38	evident	evident	ADJ
fcis-22628	108	39	that	that	SCONJ
fcis-22628	108	40	the	the	DET
fcis-22628	108	41	integrated	integrated	ADJ
fcis-22628	108	42	model	model	NOUN
fcis-22628	108	43	resulting	result	VERB
fcis-22628	108	44	from	from	ADP
fcis-22628	108	45	the	the	DET
fcis-22628	108	46	fusion	fusion	NOUN
fcis-22628	108	47	of	of	ADP
fcis-22628	108	48	backpropagation	backpropagation	NOUN
fcis-22628	108	49	neural	neural	ADJ
fcis-22628	108	50	network	network	NOUN
fcis-22628	108	51	with	with	ADP
fcis-22628	108	52	genetic	genetic	ADJ
fcis-22628	108	53	algorithm	algorithm	NOUN
fcis-22628	108	54	outperforms	outperform	VERB
fcis-22628	108	55	standalone	standalone	ADJ
fcis-22628	108	56	models	model	NOUN
fcis-22628	108	57	in	in	ADP
fcis-22628	108	58	terms	term	NOUN
fcis-22628	108	59	of	of	ADP
fcis-22628	108	60	overall	overall	ADJ
fcis-22628	108	61	efficiency	efficiency	NOUN
fcis-22628	108	62	.	.	PUNCT
fcis-22628	109	1	this	this	DET
fcis-22628	109	2	higher	high	ADJ
fcis-22628	109	3	f1	f1	NOUN
fcis-22628	109	4	score	score	NOUN
fcis-22628	109	5	of	of	ADP
fcis-22628	109	6	98.79	98.79	NUM
fcis-22628	109	7	%	%	NOUN
fcis-22628	109	8	for	for	ADP
fcis-22628	109	9	the	the	DET
fcis-22628	109	10	bp	bp	PROPN
fcis-22628	109	11	-	-	PUNCT
fcis-22628	109	12	ga	ga	PROPN
fcis-22628	109	13	hybrid	hybrid	NOUN
fcis-22628	109	14	underscores	underscore	VERB
fcis-22628	109	15	its	its	PRON
fcis-22628	109	16	superiority	superiority	NOUN
fcis-22628	109	17	in	in	ADP
fcis-22628	109	18	comprehensive	comprehensive	ADJ
fcis-22628	109	19	performance	performance	NOUN
fcis-22628	109	20	.	.	PUNCT
fcis-22628	110	1	in	in	ADP
fcis-22628	110	2	summary	summary	NOUN
fcis-22628	110	3	,	,	PUNCT
fcis-22628	110	4	in	in	ADP
fcis-22628	110	5	the	the	DET
fcis-22628	110	6	task	task	NOUN
fcis-22628	110	7	of	of	ADP
fcis-22628	110	8	fault	fault	NOUN
fcis-22628	110	9	diagnosis	diagnosis	NOUN
fcis-22628	110	10	of	of	ADP
fcis-22628	110	11	ship	ship	NOUN
fcis-22628	110	12	power	power	NOUN
fcis-22628	110	13	system	system	NOUN
fcis-22628	110	14	,	,	PUNCT
fcis-22628	110	15	the	the	DET
fcis-22628	110	16	bp	bp	PROPN
fcis-22628	110	17	-	-	PUNCT
fcis-22628	110	18	ga	ga	PROPN
fcis-22628	110	19	hybrid	hybrid	NOUN
fcis-22628	110	20	model	model	NOUN
fcis-22628	110	21	combined	combine	VERB
fcis-22628	110	22	with	with	ADP
fcis-22628	110	23	bp	bp	PROPN
fcis-22628	110	24	neural	neural	ADJ
fcis-22628	110	25	network	network	NOUN
fcis-22628	110	26	and	and	CCONJ
fcis-22628	110	27	genetic	genetic	ADJ
fcis-22628	110	28	algorithm	algorithm	NOUN
fcis-22628	110	29	has	have	AUX
fcis-22628	110	30	achieved	achieve	VERB
fcis-22628	110	31	the	the	DET
fcis-22628	110	32	best	good	ADJ
fcis-22628	110	33	performance	performance	NOUN
fcis-22628	110	34	in	in	ADP
fcis-22628	110	35	the	the	DET
fcis-22628	110	36	three	three	NUM
fcis-22628	110	37	key	key	ADJ
fcis-22628	110	38	evaluation	evaluation	NOUN
fcis-22628	110	39	indicators	indicator	NOUN
fcis-22628	110	40	of	of	ADP
fcis-22628	110	41	recall	recall	NOUN
fcis-22628	110	42	rate	rate	NOUN
fcis-22628	110	43	,	,	PUNCT
fcis-22628	110	44	accuracy	accuracy	NOUN
fcis-22628	110	45	rate	rate	NOUN
fcis-22628	110	46	and	and	CCONJ
fcis-22628	110	47	f1	f1	NOUN
fcis-22628	110	48	score	score	NOUN
fcis-22628	110	49	,	,	PUNCT
fcis-22628	110	50	showing	show	VERB
fcis-22628	110	51	higher	high	ADJ
fcis-22628	110	52	diagnostic	diagnostic	ADJ
fcis-22628	110	53	accuracy	accuracy	NOUN
fcis-22628	110	54	and	and	CCONJ
fcis-22628	110	55	stability	stability	NOUN
fcis-22628	110	56	.	.	PUNCT
fcis-22628	111	1	it	it	PRON
fcis-22628	111	2	provides	provide	VERB
fcis-22628	111	3	a	a	DET
fcis-22628	111	4	more	more	ADV
fcis-22628	111	5	powerful	powerful	ADJ
fcis-22628	111	6	and	and	CCONJ
fcis-22628	111	7	reliable	reliable	ADJ
fcis-22628	111	8	solution	solution	NOUN
fcis-22628	111	9	for	for	ADP
fcis-22628	111	10	intelligent	intelligent	ADJ
fcis-22628	111	11	fault	fault	NOUN
fcis-22628	111	12	diagnosis	diagnosis	NOUN
fcis-22628	111	13	of	of	ADP
fcis-22628	111	14	marine	marine	ADJ
fcis-22628	111	15	power	power	NOUN
fcis-22628	111	16	system	system	NOUN
fcis-22628	111	17	.	.	PUNCT
fcis-22628	112	1	figure	figure	VERB
fcis-22628	112	2	4	4	NUM
fcis-22628	112	3	.	.	NOUN
fcis-22628	112	4	comparison	comparison	NOUN
fcis-22628	112	5	of	of	ADP
fcis-22628	112	6	diagnostic	diagnostic	ADJ
fcis-22628	112	7	accuracy	accuracy	NOUN
fcis-22628	112	8	as	as	SCONJ
fcis-22628	112	9	shown	show	VERB
fcis-22628	112	10	in	in	ADP
fcis-22628	112	11	figure	figure	NOUN
fcis-22628	112	12	4	4	NUM
fcis-22628	112	13	,	,	PUNCT
fcis-22628	112	14	when	when	SCONJ
fcis-22628	112	15	evaluating	evaluate	VERB
fcis-22628	112	16	the	the	DET
fcis-22628	112	17	performance	performance	NOUN
fcis-22628	112	18	of	of	ADP
fcis-22628	112	19	computer	computer	NOUN
fcis-22628	112	20	-	-	PUNCT
fcis-22628	112	21	aided	aid	VERB
fcis-22628	112	22	models	model	NOUN
fcis-22628	112	23	for	for	ADP
fcis-22628	112	24	fault	fault	NOUN
fcis-22628	112	25	diagnosis	diagnosis	NOUN
fcis-22628	112	26	of	of	ADP
fcis-22628	112	27	ship	ship	NOUN
fcis-22628	112	28	power	power	NOUN
fcis-22628	112	29	system	system	NOUN
fcis-22628	112	30	,	,	PUNCT
fcis-22628	112	31	we	we	PRON
fcis-22628	112	32	compared	compare	VERB
fcis-22628	112	33	the	the	DET
fcis-22628	112	34	performance	performance	NOUN
fcis-22628	112	35	of	of	ADP
fcis-22628	112	36	three	three	NUM
fcis-22628	112	37	models	model	NOUN
fcis-22628	112	38	:	:	PUNCT
fcis-22628	112	39	bp	bp	PROPN
fcis-22628	112	40	neural	neural	ADJ
fcis-22628	112	41	network	network	NOUN
fcis-22628	112	42	model	model	NOUN
fcis-22628	112	43	(	(	PUNCT
fcis-22628	112	44	bp	bp	PROPN
fcis-22628	112	45	)	)	PUNCT
fcis-22628	112	46	,	,	PUNCT
fcis-22628	112	47	genetic	genetic	ADJ
fcis-22628	112	48	algorithm	algorithm	NOUN
fcis-22628	112	49	model	model	NOUN
fcis-22628	112	50	(	(	PUNCT
fcis-22628	112	51	ga	ga	NOUN
fcis-22628	112	52	)	)	PUNCT
fcis-22628	112	53	,	,	PUNCT
fcis-22628	112	54	and	and	CCONJ
fcis-22628	112	55	bp	bp	PROPN
fcis-22628	112	56	-	-	PUNCT
fcis-22628	112	57	ga	ga	PROPN
fcis-22628	112	58	hybrid	hybrid	NOUN
fcis-22628	112	59	model	model	NOUN
fcis-22628	112	60	combined	combine	VERB
fcis-22628	112	61	with	with	ADP
fcis-22628	112	62	them	they	PRON
fcis-22628	112	63	in	in	ADP
fcis-22628	112	64	terms	term	NOUN
fcis-22628	112	65	of	of	ADP
fcis-22628	112	66	diagnostic	diagnostic	ADJ
fcis-22628	112	67	accuracy	accuracy	NOUN
fcis-22628	112	68	.	.	PUNCT
fcis-22628	113	1	the	the	DET
fcis-22628	113	2	data	datum	NOUN
fcis-22628	113	3	show	show	VERB
fcis-22628	113	4	that	that	SCONJ
fcis-22628	113	5	the	the	DET
fcis-22628	113	6	diagnosis	diagnosis	NOUN
fcis-22628	113	7	accuracy	accuracy	NOUN
fcis-22628	113	8	of	of	ADP
fcis-22628	113	9	bp	bp	PROPN
fcis-22628	113	10	neural	neural	PROPN
fcis-22628	113	11	network	network	NOUN
fcis-22628	113	12	model	model	NOUN
fcis-22628	113	13	is	be	AUX
fcis-22628	113	14	98.40	98.40	NUM
fcis-22628	113	15	%	%	NOUN
fcis-22628	113	16	,	,	PUNCT
fcis-22628	113	17	which	which	PRON
fcis-22628	113	18	indicates	indicate	VERB
fcis-22628	113	19	that	that	SCONJ
fcis-22628	113	20	the	the	DET
fcis-22628	113	21	model	model	NOUN
fcis-22628	113	22	has	have	VERB
fcis-22628	113	23	high	high	ADJ
fcis-22628	113	24	recognition	recognition	NOUN
fcis-22628	113	25	accuracy	accuracy	NOUN
fcis-22628	113	26	when	when	SCONJ
fcis-22628	113	27	processing	process	VERB
fcis-22628	113	28	fault	fault	NOUN
fcis-22628	113	29	diagnosis	diagnosis	NOUN
fcis-22628	113	30	tasks	task	NOUN
fcis-22628	113	31	independently	independently	ADV
fcis-22628	113	32	,	,	PUNCT
fcis-22628	113	33	and	and	CCONJ
fcis-22628	113	34	can	can	AUX
fcis-22628	113	35	accurately	accurately	ADV
fcis-22628	113	36	identify	identify	VERB
fcis-22628	113	37	most	most	ADJ
fcis-22628	113	38	of	of	ADP
fcis-22628	113	39	the	the	DET
fcis-22628	113	40	ship	ship	NOUN
fcis-22628	113	41	power	power	NOUN
fcis-22628	113	42	system	system	NOUN
fcis-22628	113	43	faults	fault	NOUN
fcis-22628	113	44	.	.	PUNCT
fcis-22628	114	1	the	the	DET
fcis-22628	114	2	diagnosis	diagnosis	NOUN
fcis-22628	114	3	accuracy	accuracy	NOUN
fcis-22628	114	4	of	of	ADP
fcis-22628	114	5	the	the	DET
fcis-22628	114	6	genetic	genetic	ADJ
fcis-22628	114	7	algorithm	algorithm	NOUN
fcis-22628	114	8	model	model	NOUN
fcis-22628	114	9	is	be	AUX
fcis-22628	114	10	97.90	97.90	NUM
fcis-22628	114	11	%	%	NOUN
fcis-22628	114	12	,	,	PUNCT
fcis-22628	114	13	which	which	PRON
fcis-22628	114	14	is	be	AUX
fcis-22628	114	15	slightly	slightly	ADV
fcis-22628	114	16	lower	low	ADJ
fcis-22628	114	17	than	than	ADP
fcis-22628	114	18	the	the	DET
fcis-22628	114	19	bp	bp	PROPN
fcis-22628	114	20	neural	neural	PROPN
fcis-22628	114	21	network	network	PROPN
fcis-22628	114	22	model	model	NOUN
fcis-22628	114	23	,	,	PUNCT
fcis-22628	114	24	but	but	CCONJ
fcis-22628	114	25	it	it	PRON
fcis-22628	114	26	also	also	ADV
fcis-22628	114	27	shows	show	VERB
fcis-22628	114	28	strong	strong	ADJ
fcis-22628	114	29	fault	fault	NOUN
fcis-22628	114	30	diagnosis	diagnosis	NOUN
fcis-22628	114	31	ability	ability	NOUN
fcis-22628	114	32	,	,	PUNCT
fcis-22628	114	33	and	and	CCONJ
fcis-22628	114	34	can	can	AUX
fcis-22628	114	35	effectively	effectively	ADV
fcis-22628	114	36	judge	judge	VERB
fcis-22628	114	37	and	and	CCONJ
fcis-22628	114	38	predict	predict	VERB
fcis-22628	114	39	the	the	DET
fcis-22628	114	40	fault	fault	NOUN
fcis-22628	114	41	state	state	NOUN
fcis-22628	114	42	of	of	ADP
fcis-22628	114	43	the	the	DET
fcis-22628	114	44	ship	ship	NOUN
fcis-22628	114	45	power	power	NOUN
fcis-22628	114	46	system	system	NOUN
fcis-22628	114	47	to	to	ADP
fcis-22628	114	48	a	a	DET
fcis-22628	114	49	certain	certain	ADJ
fcis-22628	114	50	extent	extent	NOUN
fcis-22628	114	51	.	.	PUNCT
fcis-22628	115	1	however	however	ADV
fcis-22628	115	2	,	,	PUNCT
fcis-22628	115	3	when	when	SCONJ
fcis-22628	115	4	bp	bp	PROPN
fcis-22628	115	5	neural	neural	ADJ
fcis-22628	115	6	network	network	NOUN
fcis-22628	115	7	is	be	AUX
fcis-22628	115	8	combined	combine	VERB
fcis-22628	115	9	with	with	ADP
fcis-22628	115	10	genetic	genetic	ADJ
fcis-22628	115	11	algorithm	algorithm	NOUN
fcis-22628	115	12	to	to	PART
fcis-22628	115	13	construct	construct	VERB
fcis-22628	115	14	a	a	DET
fcis-22628	115	15	bp	bp	PROPN
fcis-22628	115	16	-	-	PUNCT
fcis-22628	115	17	ga	ga	PROPN
fcis-22628	115	18	hybrid	hybrid	NOUN
fcis-22628	115	19	model	model	NOUN
fcis-22628	115	20	,	,	PUNCT
fcis-22628	115	21	its	its	PRON
fcis-22628	115	22	diagnostic	diagnostic	ADJ
fcis-22628	115	23	accuracy	accuracy	NOUN
fcis-22628	115	24	jumps	jump	VERB
fcis-22628	115	25	to	to	ADP
fcis-22628	115	26	99.30	99.30	NUM
fcis-22628	115	27	%	%	NOUN
fcis-22628	115	28	.	.	PUNCT
fcis-22628	116	1	this	this	DET
fcis-22628	116	2	significant	significant	ADJ
fcis-22628	116	3	improvement	improvement	NOUN
fcis-22628	116	4	means	mean	VERB
fcis-22628	116	5	that	that	SCONJ
fcis-22628	116	6	after	after	ADP
fcis-22628	116	7	integrating	integrate	VERB
fcis-22628	116	8	the	the	DET
fcis-22628	116	9	advantages	advantage	NOUN
fcis-22628	116	10	of	of	ADP
fcis-22628	116	11	the	the	DET
fcis-22628	116	12	two	two	NUM
fcis-22628	116	13	algorithms	algorithm	NOUN
fcis-22628	116	14	,	,	PUNCT
fcis-22628	116	15	the	the	DET
fcis-22628	116	16	bp	bp	PROPN
fcis-22628	116	17	-	-	PUNCT
fcis-22628	116	18	ga	ga	PROPN
fcis-22628	116	19	hybrid	hybrid	NOUN
fcis-22628	116	20	model	model	NOUN
fcis-22628	116	21	can	can	AUX
fcis-22628	116	22	identify	identify	VERB
fcis-22628	116	23	and	and	CCONJ
fcis-22628	116	24	judge	judge	VERB
fcis-22628	116	25	the	the	DET
fcis-22628	116	26	fault	fault	NOUN
fcis-22628	116	27	phenomena	phenomenon	NOUN
fcis-22628	116	28	of	of	ADP
fcis-22628	116	29	the	the	DET
fcis-22628	116	30	ship	ship	NOUN
fcis-22628	116	31	power	power	NOUN
fcis-22628	116	32	system	system	NOUN
fcis-22628	116	33	more	more	ADV
fcis-22628	116	34	accurately	accurately	ADV
fcis-22628	116	35	,	,	PUNCT
fcis-22628	116	36	thus	thus	ADV
fcis-22628	116	37	greatly	greatly	ADV
fcis-22628	116	38	improving	improve	VERB
fcis-22628	116	39	the	the	DET
fcis-22628	116	40	accuracy	accuracy	NOUN
fcis-22628	116	41	and	and	CCONJ
fcis-22628	116	42	reliability	reliability	NOUN
fcis-22628	116	43	of	of	ADP
fcis-22628	116	44	fault	fault	NOUN
fcis-22628	116	45	diagnosis	diagnosis	NOUN
fcis-22628	116	46	.	.	PUNCT
fcis-22628	117	1	in	in	ADP
fcis-22628	117	2	summary	summary	NOUN
fcis-22628	117	3	,	,	PUNCT
fcis-22628	117	4	although	although	SCONJ
fcis-22628	117	5	the	the	DET
fcis-22628	117	6	bp	bp	PROPN
fcis-22628	117	7	neural	neural	PROPN
fcis-22628	117	8	network	network	NOUN
fcis-22628	117	9	model	model	NOUN
fcis-22628	117	10	and	and	CCONJ
fcis-22628	117	11	the	the	DET
fcis-22628	117	12	genetic	genetic	ADJ
fcis-22628	117	13	algorithm	algorithm	NOUN
fcis-22628	117	14	model	model	NOUN
fcis-22628	117	15	show	show	VERB
fcis-22628	117	16	good	good	ADJ
fcis-22628	117	17	performance	performance	NOUN
fcis-22628	117	18	in	in	ADP
fcis-22628	117	19	the	the	DET
fcis-22628	117	20	fault	fault	NOUN
fcis-22628	117	21	diagnosis	diagnosis	NOUN
fcis-22628	117	22	of	of	ADP
fcis-22628	117	23	the	the	DET
fcis-22628	117	24	ship	ship	NOUN
fcis-22628	117	25	power	power	NOUN
fcis-22628	117	26	system	system	NOUN
fcis-22628	117	27	,	,	PUNCT
fcis-22628	117	28	the	the	DET
fcis-22628	117	29	bp	bp	PROPN
fcis-22628	117	30	-	-	PUNCT
fcis-22628	117	31	ga	ga	PROPN
fcis-22628	117	32	hybrid	hybrid	NOUN
fcis-22628	117	33	model	model	NOUN
fcis-22628	117	34	,	,	PUNCT
fcis-22628	117	35	by	by	ADP
fcis-22628	117	36	virtue	virtue	NOUN
fcis-22628	117	37	of	of	ADP
fcis-22628	117	38	its	its	PRON
fcis-22628	117	39	advantages	advantage	NOUN
fcis-22628	117	40	97.00	97.00	NUM
fcis-22628	117	41	%	%	NOUN
fcis-22628	117	42	97.50	97.50	NUM
fcis-22628	117	43	%	%	NOUN
fcis-22628	117	44	98.00	98.00	NUM
fcis-22628	117	45	%	%	NOUN
fcis-22628	117	46	98.50	98.50	NUM
fcis-22628	117	47	%	%	NOUN
fcis-22628	117	48	99.00	99.00	NUM
fcis-22628	117	49	%	%	NOUN
fcis-22628	117	50	99.50	99.50	NUM
fcis-22628	117	51	%	%	NOUN
fcis-22628	117	52	bp	bp	PROPN
fcis-22628	117	53	ga	ga	PROPN
fcis-22628	117	54	bp	bp	PROPN
fcis-22628	117	55	-	-	PUNCT
fcis-22628	117	56	ga	ga	PROPN
fcis-22628	117	57	69	69	NUM
fcis-22628	117	58	of	of	ADP
fcis-22628	117	59	integrating	integrate	VERB
fcis-22628	117	60	the	the	DET
fcis-22628	117	61	two	two	NUM
fcis-22628	117	62	advanced	advanced	ADJ
fcis-22628	117	63	algorithms	algorithm	NOUN
fcis-22628	117	64	,	,	PUNCT
fcis-22628	117	65	effectively	effectively	ADV
fcis-22628	117	66	improves	improve	VERB
fcis-22628	117	67	the	the	DET
fcis-22628	117	68	diagnosis	diagnosis	NOUN
fcis-22628	117	69	accuracy	accuracy	NOUN
fcis-22628	117	70	rate	rate	NOUN
fcis-22628	117	71	and	and	CCONJ
fcis-22628	117	72	reflects	reflect	VERB
fcis-22628	117	73	stronger	strong	ADJ
fcis-22628	117	74	fault	fault	NOUN
fcis-22628	117	75	identification	identification	NOUN
fcis-22628	117	76	capability	capability	NOUN
fcis-22628	117	77	,	,	PUNCT
fcis-22628	117	78	providing	provide	VERB
fcis-22628	117	79	a	a	DET
fcis-22628	117	80	more	more	ADV
fcis-22628	117	81	ideal	ideal	ADJ
fcis-22628	117	82	solution	solution	NOUN
fcis-22628	117	83	for	for	ADP
fcis-22628	117	84	the	the	DET
fcis-22628	117	85	intelligent	intelligent	ADJ
fcis-22628	117	86	fault	fault	NOUN
fcis-22628	117	87	diagnosis	diagnosis	NOUN
fcis-22628	117	88	of	of	ADP
fcis-22628	117	89	the	the	DET
fcis-22628	117	90	ship	ship	NOUN
fcis-22628	117	91	power	power	NOUN
fcis-22628	117	92	system	system	NOUN
fcis-22628	117	93	.	.	PUNCT
fcis-22628	118	1	5	5	X
fcis-22628	118	2	.	.	X
fcis-22628	118	3	conclusion	conclusion	NOUN
fcis-22628	118	4	this	this	DET
fcis-22628	118	5	research	research	NOUN
fcis-22628	118	6	successfully	successfully	ADV
fcis-22628	118	7	developed	develop	VERB
fcis-22628	118	8	a	a	DET
fcis-22628	118	9	ship	ship	NOUN
fcis-22628	118	10	power	power	NOUN
fcis-22628	118	11	system	system	NOUN
fcis-22628	118	12	fault	fault	NOUN
fcis-22628	118	13	diagnosis	diagnosis	NOUN
fcis-22628	118	14	system	system	NOUN
fcis-22628	118	15	based	base	VERB
fcis-22628	118	16	on	on	ADP
fcis-22628	118	17	big	big	ADJ
fcis-22628	118	18	data	datum	NOUN
fcis-22628	118	19	and	and	CCONJ
fcis-22628	118	20	artificial	artificial	ADJ
fcis-22628	118	21	intelligence	intelligence	NOUN
fcis-22628	118	22	technology	technology	NOUN
fcis-22628	118	23	,	,	PUNCT
fcis-22628	118	24	made	make	VERB
fcis-22628	118	25	full	full	ADJ
fcis-22628	118	26	use	use	NOUN
fcis-22628	118	27	of	of	ADP
fcis-22628	118	28	big	big	ADJ
fcis-22628	118	29	data	datum	NOUN
fcis-22628	118	30	technology	technology	NOUN
fcis-22628	118	31	to	to	PART
fcis-22628	118	32	integrate	integrate	VERB
fcis-22628	118	33	and	and	CCONJ
fcis-22628	118	34	mine	mine	VERB
fcis-22628	118	35	complex	complex	ADJ
fcis-22628	118	36	multi	multi	ADJ
fcis-22628	118	37	-	-	ADJ
fcis-22628	118	38	source	source	ADJ
fcis-22628	118	39	ship	ship	NOUN
fcis-22628	118	40	operation	operation	NOUN
fcis-22628	118	41	data	datum	NOUN
fcis-22628	118	42	,	,	PUNCT
fcis-22628	118	43	combined	combine	VERB
fcis-22628	118	44	with	with	ADP
fcis-22628	118	45	machine	machine	NOUN
fcis-22628	118	46	learning	learning	NOUN
fcis-22628	118	47	and	and	CCONJ
fcis-22628	118	48	deep	deep	ADJ
fcis-22628	118	49	learning	learning	NOUN
fcis-22628	118	50	algorithms	algorithm	NOUN
fcis-22628	118	51	to	to	PART
fcis-22628	118	52	solve	solve	VERB
fcis-22628	118	53	nonlinear	nonlinear	ADJ
fcis-22628	118	54	and	and	CCONJ
fcis-22628	118	55	time	time	NOUN
fcis-22628	118	56	-	-	PUNCT
fcis-22628	118	57	varying	vary	VERB
fcis-22628	118	58	fault	fault	NOUN
fcis-22628	118	59	diagnosis	diagnosis	NOUN
fcis-22628	118	60	problems	problem	NOUN
fcis-22628	118	61	.	.	PUNCT
fcis-22628	119	1	the	the	DET
fcis-22628	119	2	constructed	construct	VERB
fcis-22628	119	3	intelligent	intelligent	ADJ
fcis-22628	119	4	model	model	NOUN
fcis-22628	119	5	can	can	AUX
fcis-22628	119	6	automatically	automatically	ADV
fcis-22628	119	7	extract	extract	VERB
fcis-22628	119	8	key	key	ADJ
fcis-22628	119	9	fault	fault	NOUN
fcis-22628	119	10	features	feature	NOUN
fcis-22628	119	11	and	and	CCONJ
fcis-22628	119	12	realize	realize	VERB
fcis-22628	119	13	early	early	ADJ
fcis-22628	119	14	warning	warning	NOUN
fcis-22628	119	15	and	and	CCONJ
fcis-22628	119	16	accurate	accurate	ADJ
fcis-22628	119	17	identification	identification	NOUN
fcis-22628	119	18	,	,	PUNCT
fcis-22628	119	19	which	which	PRON
fcis-22628	119	20	significantly	significantly	ADV
fcis-22628	119	21	improves	improve	VERB
fcis-22628	119	22	the	the	DET
fcis-22628	119	23	diagnosis	diagnosis	NOUN
fcis-22628	119	24	accuracy	accuracy	NOUN
fcis-22628	119	25	and	and	CCONJ
fcis-22628	119	26	response	response	NOUN
fcis-22628	119	27	speed	speed	NOUN
fcis-22628	119	28	.	.	PUNCT
fcis-22628	120	1	the	the	DET
fcis-22628	120	2	practical	practical	ADJ
fcis-22628	120	3	application	application	NOUN
fcis-22628	120	4	shows	show	VERB
fcis-22628	120	5	that	that	SCONJ
fcis-22628	120	6	the	the	DET
fcis-22628	120	7	system	system	NOUN
fcis-22628	120	8	can	can	AUX
fcis-22628	120	9	effectively	effectively	ADV
fcis-22628	120	10	improve	improve	VERB
fcis-22628	120	11	the	the	DET
fcis-22628	120	12	fault	fault	NOUN
fcis-22628	120	13	diagnosis	diagnosis	NOUN
fcis-22628	120	14	efficiency	efficiency	NOUN
fcis-22628	120	15	,	,	PUNCT
fcis-22628	120	16	save	save	VERB
fcis-22628	120	17	maintenance	maintenance	NOUN
fcis-22628	120	18	cost	cost	NOUN
fcis-22628	120	19	and	and	CCONJ
fcis-22628	120	20	strengthen	strengthen	VERB
fcis-22628	120	21	navigation	navigation	NOUN
fcis-22628	120	22	safety	safety	NOUN
fcis-22628	120	23	.	.	PUNCT
fcis-22628	121	1	this	this	DET
fcis-22628	121	2	achievement	achievement	NOUN
fcis-22628	121	3	not	not	PART
fcis-22628	121	4	only	only	ADV
fcis-22628	121	5	provides	provide	VERB
fcis-22628	121	6	a	a	DET
fcis-22628	121	7	revolutionary	revolutionary	ADJ
fcis-22628	121	8	intelligent	intelligent	ADJ
fcis-22628	121	9	fault	fault	NOUN
fcis-22628	121	10	diagnosis	diagnosis	NOUN
fcis-22628	121	11	solution	solution	NOUN
fcis-22628	121	12	for	for	ADP
fcis-22628	121	13	china	china	PROPN
fcis-22628	121	14	's	's	PART
fcis-22628	121	15	ship	ship	NOUN
fcis-22628	121	16	industry	industry	NOUN
fcis-22628	121	17	,	,	PUNCT
fcis-22628	121	18	but	but	CCONJ
fcis-22628	121	19	also	also	ADV
fcis-22628	121	20	has	have	VERB
fcis-22628	121	21	a	a	DET
fcis-22628	121	22	wide	wide	ADJ
fcis-22628	121	23	range	range	NOUN
fcis-22628	121	24	of	of	ADP
fcis-22628	121	25	application	application	NOUN
fcis-22628	121	26	prospects	prospect	NOUN
fcis-22628	121	27	in	in	ADP
fcis-22628	121	28	the	the	DET
fcis-22628	121	29	world	world	NOUN
fcis-22628	121	30	,	,	PUNCT
fcis-22628	121	31	and	and	CCONJ
fcis-22628	121	32	effectively	effectively	ADV
fcis-22628	121	33	promotes	promote	VERB
fcis-22628	121	34	the	the	DET
fcis-22628	121	35	progress	progress	NOUN
fcis-22628	121	36	and	and	CCONJ
fcis-22628	121	37	development	development	NOUN
fcis-22628	121	38	of	of	ADP
fcis-22628	121	39	intelligent	intelligent	ADJ
fcis-22628	121	40	marine	marine	ADJ
fcis-22628	121	41	equipment	equipment	NOUN
fcis-22628	121	42	technology	technology	NOUN
fcis-22628	121	43	.	.	PUNCT
fcis-22628	122	1	references	reference	NOUN
fcis-22628	122	2	[	[	X
fcis-22628	122	3	1	1	NUM
fcis-22628	122	4	]	]	X
fcis-22628	122	5	lu	lu	NOUN
fcis-22628	122	6	xuge	xuge	PROPN
fcis-22628	122	7	,	,	PUNCT
fcis-22628	122	8	fan	fan	PROPN
fcis-22628	122	9	yunxiao	yunxiao	PROPN
fcis-22628	122	10	,	,	PUNCT
fcis-22628	122	11	qian	qian	PROPN
fcis-22628	122	12	kangkang	kangkang	PROPN
fcis-22628	122	13	.	.	PUNCT
fcis-22628	123	1	equipment	equipment	NOUN
fcis-22628	123	2	fault	fault	NOUN
fcis-22628	123	3	diagnosis	diagnosis	NOUN
fcis-22628	123	4	technology	technology	NOUN
fcis-22628	123	5	review	review	NOUN
fcis-22628	123	6	and	and	CCONJ
fcis-22628	123	7	development	development	NOUN
fcis-22628	123	8	trend	trend	NOUN
fcis-22628	124	1	[	[	X
fcis-22628	124	2	j	j	X
fcis-22628	124	3	]	]	X
fcis-22628	124	4	.	.	PUNCT
fcis-22628	125	1	mining	mining	NOUN
fcis-22628	125	2	machinery	machinery	NOUN
fcis-22628	125	3	.	.	PUNCT
fcis-22628	126	1	2007(12):15	2007(12):15	NUM
fcis-22628	126	2	-	-	SYM
fcis-22628	126	3	18	18	NUM
fcis-22628	126	4	.	.	PUNCT
fcis-22628	127	1	ebersbach	ebersbach	VERB
fcis-22628	127	2	s	s	PROPN
fcis-22628	127	3	,	,	PUNCT
fcis-22628	127	4	peng	peng	PROPN
fcis-22628	127	5	z	z	PROPN
fcis-22628	127	6	,	,	PUNCT
fcis-22628	127	7	kessissoglou	kessissoglou	AUX
fcis-22628	127	8	n.	n.	PROPN
fcis-22628	127	9	the	the	DET
fcis-22628	127	10	investigation	investigation	NOUN
fcis-22628	127	11	of	of	ADP
fcis-22628	127	12	the	the	DET
fcis-22628	127	13	condition	condition	NOUN
fcis-22628	127	14	and	and	CCONJ
fcis-22628	127	15	faults	fault	NOUN
fcis-22628	127	16	of	of	ADP
fcis-22628	127	17	a	a	DET
fcis-22628	127	18	spur	spur	NOUN
fcis-22628	127	19	gearbox	gearbox	NOUN
fcis-22628	127	20	using	use	VERB
fcis-22628	127	21	vibration	vibration	NOUN
fcis-22628	127	22	and	and	CCONJ
fcis-22628	127	23	wear	wear	VERB
fcis-22628	127	24	debris	debris	NOUN
fcis-22628	127	25	analysis	analysis	NOUN
fcis-22628	127	26	techniques[j	techniques[j	NOUN
fcis-22628	127	27	]	]	PUNCT
fcis-22628	127	28	.	.	PUNCT
fcis-22628	128	1	wear	wear	NOUN
fcis-22628	128	2	.	.	PUNCT
fcis-22628	129	1	2006,260(1):16	2006,260(1):16	NUM
fcis-22628	129	2	-	-	SYM
fcis-22628	129	3	24	24	NUM
fcis-22628	129	4	.	.	PUNCT
fcis-22628	130	1	[	[	X
fcis-22628	130	2	2	2	X
fcis-22628	130	3	]	]	X
fcis-22628	130	4	peng	peng	PROPN
fcis-22628	130	5	z	z	PROPN
fcis-22628	130	6	,	,	PUNCT
fcis-22628	130	7	kessissoglou	kessissoglou	AUX
fcis-22628	130	8	n.	n.	PROPN
fcis-22628	130	9	an	an	DET
fcis-22628	130	10	integrated	integrated	ADJ
fcis-22628	130	11	approach	approach	NOUN
fcis-22628	130	12	to	to	PART
fcis-22628	130	13	fault	fault	VERB
fcis-22628	130	14	diagnosis	diagnosis	NOUN
fcis-22628	130	15	of	of	ADP
fcis-22628	130	16	machinery	machinery	NOUN
fcis-22628	130	17	using	use	VERB
fcis-22628	130	18	wear	wear	VERB
fcis-22628	130	19	debris	debris	NOUN
fcis-22628	130	20	and	and	CCONJ
fcis-22628	130	21	vibration	vibration	NOUN
fcis-22628	130	22	analysis[j	analysis[j	PROPN
fcis-22628	130	23	]	]	PUNCT
fcis-22628	130	24	.	.	PUNCT
fcis-22628	131	1	wear	wear	NOUN
fcis-22628	131	2	.	.	PUNCT
fcis-22628	132	1	2003,255(7):1221	2003,255(7):1221	NUM
fcis-22628	132	2	-	-	SYM
fcis-22628	132	3	1232	1232	NUM
fcis-22628	132	4	.	.	PUNCT
fcis-22628	133	1	[	[	X
fcis-22628	133	2	3	3	X
fcis-22628	133	3	]	]	PUNCT
fcis-22628	133	4	prabhakaran	prabhakaran	PROPN
fcis-22628	133	5	a	a	PROPN
fcis-22628	133	6	,	,	PUNCT
fcis-22628	133	7	jagga	jagga	PROPN
fcis-22628	133	8	c.	c.	PROPN
fcis-22628	133	9	condition	condition	NOUN
fcis-22628	133	10	monitoring	monitoring	NOUN
fcis-22628	133	11	of	of	ADP
fcis-22628	133	12	steam	steam	NOUN
fcis-22628	133	13	turbine	turbine	NOUN
fcis-22628	133	14	-	-	PUNCT
fcis-22628	133	15	generator	generator	NOUN
fcis-22628	133	16	through	through	ADP
fcis-22628	133	17	contamination	contamination	NOUN
fcis-22628	133	18	analysis	analysis	NOUN
fcis-22628	133	19	of	of	ADP
fcis-22628	133	20	used	use	VERB
fcis-22628	133	21	lubricating	lubricate	VERB
fcis-22628	133	22	oil[j	oil[j	PROPN
fcis-22628	133	23	]	]	PUNCT
fcis-22628	133	24	.	.	PUNCT
fcis-22628	134	1	tribology	tribology	PROPN
fcis-22628	134	2	international	international	PROPN
fcis-22628	134	3	.	.	PUNCT
fcis-22628	135	1	1999,32(3):145	1999,32(3):145	PROPN
fcis-22628	135	2	-	-	PUNCT
fcis-22628	135	3	152	152	NUM
fcis-22628	135	4	.	.	PUNCT
fcis-22628	136	1	[	[	X
fcis-22628	136	2	4	4	X
fcis-22628	136	3	]	]	X
fcis-22628	136	4	liu	liu	PROPN
fcis-22628	136	5	tao	tao	PROPN
fcis-22628	136	6	,	,	PUNCT
fcis-22628	136	7	tian	tian	ADJ
fcis-22628	136	8	hongxiang	hongxiang	PROPN
fcis-22628	136	9	,	,	PUNCT
fcis-22628	136	10	guo	guo	PROPN
fcis-22628	136	11	wenyong	wenyong	PROPN
fcis-22628	136	12	.	.	PUNCT
fcis-22628	136	13	application	application	NOUN
fcis-22628	136	14	of	of	ADP
fcis-22628	136	15	principal	principal	ADJ
fcis-22628	136	16	component	component	NOUN
fcis-22628	136	17	analysis	analysis	NOUN
fcis-22628	136	18	to	to	ADP
fcis-22628	136	19	spectral	spectral	ADJ
fcis-22628	136	20	data	datum	NOUN
fcis-22628	136	21	analysis	analysis	NOUN
fcis-22628	136	22	of	of	ADP
fcis-22628	136	23	a	a	DET
fcis-22628	136	24	diesel	diesel	NOUN
fcis-22628	136	25	engine	engine	NOUN
fcis-22628	136	26	[	[	X
fcis-22628	136	27	j	j	X
fcis-22628	136	28	]	]	X
fcis-22628	136	29	.	.	PUNCT
fcis-22628	136	30	spectroscopy	spectroscopy	NOUN
fcis-22628	136	31	and	and	CCONJ
fcis-22628	136	32	spectral	spectral	ADJ
fcis-22628	136	33	analysis	analysis	NOUN
fcis-22628	136	34	.	.	PUNCT
fcis-22628	137	1	2010(03):779	2010(03):779	NUM
fcis-22628	137	2	-	-	SYM
fcis-22628	137	3	782	782	NUM
fcis-22628	137	4	.	.	PUNCT
fcis-22628	138	1	[	[	X
fcis-22628	138	2	5	5	X
fcis-22628	138	3	]	]	X
fcis-22628	138	4	yan	yan	PROPN
fcis-22628	139	1	x	x	X
fcis-22628	139	2	,	,	PUNCT
fcis-22628	139	3	li	li	PROPN
fcis-22628	139	4	z	z	PROPN
fcis-22628	139	5	,	,	PUNCT
fcis-22628	139	6	yuan	yuan	PROPN
fcis-22628	139	7	c	c	X
fcis-22628	139	8	,	,	PUNCT
fcis-22628	139	9	guo	guo	PROPN
fcis-22628	139	10	z	z	PROPN
fcis-22628	139	11	,	,	PUNCT
fcis-22628	139	12	tian	tian	PROPN
fcis-22628	139	13	z	z	PROPN
fcis-22628	139	14	,	,	PUNCT
fcis-22628	139	15	sheng	sheng	PROPN
fcis-22628	139	16	c.	c.	PROPN
fcis-22628	139	17	on	on	ADP
fcis-22628	139	18	-	-	PUNCT
fcis-22628	139	19	line	line	NOUN
fcis-22628	139	20	condition	condition	NOUN
fcis-22628	139	21	monitoring	monitoring	NOUN
fcis-22628	139	22	and	and	CCONJ
fcis-22628	139	23	remote	remote	ADJ
fcis-22628	139	24	fault	fault	NOUN
fcis-22628	139	25	diagnosis	diagnosis	NOUN
fcis-22628	139	26	for	for	ADP
fcis-22628	139	27	marine	marine	ADJ
fcis-22628	139	28	diesel	diesel	NOUN
fcis-22628	139	29	engines	engine	NOUN
fcis-22628	139	30	using	use	VERB
fcis-22628	139	31	tribological	tribological	ADJ
fcis-22628	139	32	[	[	X
fcis-22628	139	33	j	j	X
fcis-22628	139	34	]	]	X
fcis-22628	139	35	.	.	PUNCT
fcis-22628	140	1	chemical	chemical	PROPN
fcis-22628	140	2	engineering	engineering	NOUN
fcis-22628	140	3	.	.	PUNCT
fcis-22628	141	1	2013,33:805	2013,33:805	PROPN
fcis-22628	141	2	-	-	PUNCT
fcis-22628	141	3	810	810	NUM
fcis-22628	141	4	.	.	PUNCT
fcis-22628	142	1	[	[	X
fcis-22628	142	2	6	6	NUM
fcis-22628	142	3	]	]	X
fcis-22628	142	4	sheng	sheng	PROPN
fcis-22628	142	5	chenxing	chenxing	PROPN
fcis-22628	142	6	,	,	PUNCT
fcis-22628	142	7	yan	yan	PROPN
fcis-22628	142	8	xinping	xinping	PROPN
fcis-22628	142	9	,	,	PUNCT
fcis-22628	142	10	peng	peng	PROPN
fcis-22628	142	11	tiehua	tiehua	PROPN
fcis-22628	142	12	.	.	PUNCT
fcis-22628	143	1	on	on	ADP
fcis-22628	143	2	-	-	PUNCT
fcis-22628	143	3	line	line	NOUN
fcis-22628	143	4	computer	computer	NOUN
fcis-22628	143	5	aided	aid	VERB
fcis-22628	143	6	monitoring	monitoring	NOUN
fcis-22628	143	7	of	of	ADP
fcis-22628	143	8	contamination	contamination	NOUN
fcis-22628	143	9	degree	degree	NOUN
fcis-22628	143	10	of	of	ADP
fcis-22628	143	11	hydraulic	hydraulic	ADJ
fcis-22628	143	12	system	system	NOUN
fcis-22628	143	13	of	of	ADP
fcis-22628	143	14	dredger	dredger	NOUN
fcis-22628	143	15	[	[	X
fcis-22628	143	16	j	j	X
fcis-22628	143	17	]	]	X
fcis-22628	143	18	.	.	PUNCT
fcis-22628	144	1	lubrication	lubrication	NOUN
fcis-22628	144	2	and	and	CCONJ
fcis-22628	144	3	sealing	sealing	NOUN
fcis-22628	144	4	.	.	PUNCT
fcis-22628	145	1	2008	2008	NUM
fcis-22628	145	2	(	(	PUNCT
fcis-22628	145	3	06):77	06):77	NUM
fcis-22628	145	4	-	-	SYM
fcis-22628	145	5	79,103	79,103	NUM
fcis-22628	145	6	.	.	PUNCT
fcis-22628	146	1	[	[	X
fcis-22628	146	2	7	7	X
fcis-22628	146	3	]	]	SYM
fcis-22628	146	4	li	li	PROPN
fcis-22628	146	5	b	b	PROPN
fcis-22628	146	6	,	,	PUNCT
fcis-22628	146	7	chow	chow	PROPN
fcis-22628	146	8	m	m	PROPN
fcis-22628	146	9	-	-	PROPN
fcis-22628	146	10	y	y	PROPN
fcis-22628	146	11	,	,	PUNCT
fcis-22628	146	12	tipsuwan	tipsuwan	PROPN
fcis-22628	146	13	y	y	PROPN
fcis-22628	146	14	,	,	PUNCT
fcis-22628	146	15	hung	hung	PROPN
fcis-22628	146	16	jc	jc	PROPN
fcis-22628	146	17	.	.	PROPN
fcis-22628	146	18	neural	neural	ADJ
fcis-22628	146	19	-	-	PUNCT
fcis-22628	146	20	networkbased	networkbase	VERB
fcis-22628	146	21	motor	motor	NOUN
fcis-22628	146	22	rolling	rolling	NOUN
fcis-22628	146	23	bearing	bear	VERB
fcis-22628	146	24	fault	fault	NOUN
fcis-22628	146	25	diagnosis[j	diagnosis[j	NOUN
fcis-22628	146	26	]	]	PUNCT
fcis-22628	146	27	.	.	PUNCT
fcis-22628	147	1	industrial	industrial	ADJ
fcis-22628	147	2	electronics	electronic	NOUN
fcis-22628	147	3	,	,	PUNCT
fcis-22628	147	4	ieee	ieee	NOUN
fcis-22628	147	5	transactions	transaction	NOUN
fcis-22628	147	6	on	on	ADP
fcis-22628	147	7	.	.	PUNCT
fcis-22628	147	8	2000,47(5):1060	2000,47(5):1060	NUM
fcis-22628	147	9	-	-	SYM
fcis-22628	147	10	1069	1069	NUM
fcis-22628	147	11	.	.	PUNCT
fcis-22628	148	1	[	[	X
fcis-22628	148	2	8	8	NUM
fcis-22628	148	3	]	]	X
fcis-22628	148	4	li	li	PROPN
fcis-22628	148	5	z	z	PROPN
fcis-22628	148	6	,	,	PUNCT
fcis-22628	148	7	yan	yan	PROPN
fcis-22628	148	8	x	x	SYM
fcis-22628	148	9	,	,	PUNCT
fcis-22628	148	10	guo	guo	PROPN
fcis-22628	148	11	z	z	PROPN
fcis-22628	148	12	,	,	PUNCT
fcis-22628	148	13	liu	liu	PROPN
fcis-22628	148	14	p	p	PROPN
fcis-22628	148	15	,	,	PUNCT
fcis-22628	148	16	yuan	yuan	NOUN
fcis-22628	148	17	c	c	X
fcis-22628	148	18	,	,	PUNCT
fcis-22628	148	19	peng	peng	PROPN
fcis-22628	148	20	z.	z.	PROPN
fcis-22628	148	21	a	a	DET
fcis-22628	148	22	new	new	ADJ
fcis-22628	148	23	intelligent	intelligent	ADJ
fcis-22628	148	24	fusion	fusion	NOUN
fcis-22628	148	25	method	method	NOUN
fcis-22628	148	26	of	of	ADP
fcis-22628	148	27	multi	multi	ADJ
fcis-22628	148	28	-	-	ADJ
fcis-22628	148	29	dimensional	dimensional	ADJ
fcis-22628	148	30	sensors	sensor	NOUN
fcis-22628	148	31	and	and	CCONJ
fcis-22628	148	32	its	its	PRON
fcis-22628	148	33	application	application	NOUN
fcis-22628	148	34	to	to	ADP
fcis-22628	148	35	tribo	tribo	ADJ
fcis-22628	148	36	-	-	PUNCT
fcis-22628	148	37	system	system	NOUN
fcis-22628	148	38	fault	fault	NOUN
fcis-22628	148	39	diagnosis	diagnosis	NOUN
fcis-22628	148	40	of	of	ADP
fcis-22628	148	41	marine	marine	ADJ
fcis-22628	148	42	diesel	diesel	NOUN
fcis-22628	148	43	engines[j	engines[j	PROPN
fcis-22628	148	44	]	]	X
fcis-22628	148	45	.	.	PUNCT
fcis-22628	149	1	tribology	tribology	NOUN
fcis-22628	149	2	letters	letter	NOUN
fcis-22628	149	3	.	.	PUNCT
fcis-22628	150	1	2012,47(1):1	2012,47(1):1	X
fcis-22628	150	2	-	-	SYM
fcis-22628	150	3	15	15	NUM
fcis-22628	150	4	.	.	PUNCT
fcis-22628	151	1	[	[	X
fcis-22628	151	2	9	9	NUM
fcis-22628	151	3	]	]	X
fcis-22628	151	4	yang	yang	PROPN
fcis-22628	151	5	jianguo	jianguo	PROPN
fcis-22628	151	6	,	,	PUNCT
fcis-22628	151	7	zhou	zhou	PROPN
fcis-22628	151	8	yichen	yichen	NOUN
fcis-22628	151	9	.	.	PUNCT
fcis-22628	152	1	vibration	vibration	NOUN
fcis-22628	152	2	monitoring	monitoring	NOUN
fcis-22628	152	3	and	and	CCONJ
fcis-22628	152	4	fault	fault	VERB
fcis-22628	152	5	diagnosis	diagnosis	NOUN
fcis-22628	152	6	system	system	NOUN
fcis-22628	152	7	of	of	ADP
fcis-22628	152	8	marine	marine	ADJ
fcis-22628	152	9	diesel	diesel	NOUN
fcis-22628	152	10	engine	engine	NOUN
fcis-22628	153	1	[	[	X
fcis-22628	153	2	j	j	X
fcis-22628	153	3	]	]	X
fcis-22628	153	4	.	.	PUNCT
fcis-22628	154	1	internal	internal	ADJ
fcis-22628	154	2	combustion	combustion	NOUN
fcis-22628	154	3	engine	engine	NOUN
fcis-22628	154	4	engineering	engineering	NOUN
fcis-22628	154	5	.	.	PUNCT
fcis-22628	155	1	1996(03):45	1996(03):45	NUM
fcis-22628	155	2	-	-	SYM
fcis-22628	155	3	51	51	NUM
fcis-22628	155	4	.	.	PUNCT
fcis-22628	156	1	[	[	X
fcis-22628	156	2	10	10	NUM
fcis-22628	156	3	]	]	PUNCT
fcis-22628	156	4	yu	yu	PROPN
fcis-22628	156	5	y	y	PROPN
fcis-22628	156	6	,	,	PUNCT
fcis-22628	156	7	yang	yang	PROPN
fcis-22628	156	8	j.	j.	PROPN
fcis-22628	156	9	vibration	vibration	PROPN
fcis-22628	156	10	diagnosis	diagnosis	NOUN
fcis-22628	156	11	of	of	ADP
fcis-22628	156	12	main	main	ADJ
fcis-22628	156	13	journal	journal	NOUN
fcis-22628	156	14	bearings	bearing	NOUN
fcis-22628	156	15	for	for	ADP
fcis-22628	156	16	diesel	diesel	NOUN
fcis-22628	156	17	engines[j	engines[j	PROPN
fcis-22628	156	18	]	]	X
fcis-22628	156	19	.	.	PUNCT
fcis-22628	157	1	international	international	ADJ
fcis-22628	157	2	journal	journal	PROPN
fcis-22628	157	3	of	of	ADP
fcis-22628	157	4	vehicle	vehicle	NOUN
fcis-22628	157	5	noise	noise	NOUN
fcis-22628	157	6	and	and	CCONJ
fcis-22628	157	7	vibration	vibration	NOUN
fcis-22628	157	8	.	.	PUNCT
fcis-22628	158	1	2005,1(3):265	2005,1(3):265	NOUN
fcis-22628	158	2	-	-	SYM
fcis-22628	158	3	286	286	NUM
fcis-22628	158	4	.	.	PUNCT