id	sid	tid	token	lemma	pos
cana-1360	1	1	paper	paper	NOUN
cana-1360	1	2	title	title	NOUN
cana-1360	1	3	(	(	PUNCT
cana-1360	1	4	use	use	NOUN
cana-1360	1	5	style	style	NOUN
cana-1360	1	6	:	:	PUNCT
cana-1360	1	7	paper	paper	NOUN
cana-1360	1	8	title	title	NOUN
cana-1360	1	9	)	)	PUNCT
cana-1360	1	10	communications	communication	NOUN
cana-1360	1	11	on	on	ADP
cana-1360	1	12	applied	apply	VERB
cana-1360	1	13	nonlinear	nonlinear	ADJ
cana-1360	1	14	analysis	analysis	NOUN
cana-1360	1	15	issn	issn	NOUN
cana-1360	1	16	:	:	PUNCT
cana-1360	1	17	1074	1074	NUM
cana-1360	1	18	-	-	PUNCT
cana-1360	1	19	133x	133x	NUM
cana-1360	1	20	vol	vol	NOUN
cana-1360	1	21	31	31	NUM
cana-1360	1	22	no	no	NOUN
cana-1360	1	23	.	.	PUNCT
cana-1360	2	1	6s	6s	NUM
cana-1360	2	2	(	(	PUNCT
cana-1360	2	3	2024	2024	NUM
cana-1360	2	4	)	)	PUNCT
cana-1360	2	5	729	729	NUM
cana-1360	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	2	7	mathematical	mathematical	ADJ
cana-1360	2	8	framework	framework	NOUN
cana-1360	2	9	for	for	ADP
cana-1360	2	10	enhancing	enhance	VERB
cana-1360	2	11	machine	machine	NOUN
cana-1360	2	12	failure	failure	NOUN
cana-1360	2	13	prediction	prediction	NOUN
cana-1360	2	14	in	in	ADP
cana-1360	2	15	aviation	aviation	NOUN
cana-1360	2	16	and	and	CCONJ
cana-1360	2	17	beyond	beyond	ADP
cana-1360	2	18	:	:	PUNCT
cana-1360	2	19	leveraging	leverage	VERB
cana-1360	2	20	deep	deep	ADJ
cana-1360	2	21	convolutional	convolutional	ADJ
cana-1360	2	22	neural	neural	ADJ
cana-1360	2	23	networks	network	NOUN
cana-1360	2	24	and	and	CCONJ
cana-1360	2	25	visual	visual	ADJ
cana-1360	2	26	analytic	analytic	ADJ
cana-1360	2	27	jalajakshi	jalajakshi	PROPN
cana-1360	2	28	v1,dr	v1,dr	PROPN
cana-1360	2	29	.	.	PUNCT
cana-1360	3	1	myna	myna	PROPN
cana-1360	3	2	a.n2	a.n2	VERB
cana-1360	3	3	1research	1research	NUM
cana-1360	3	4	scholar	scholar	NOUN
cana-1360	3	5	,	,	PUNCT
cana-1360	3	6	dept	dept	NOUN
cana-1360	3	7	.	.	PROPN
cana-1360	4	1	of	of	ADP
cana-1360	4	2	cse	cse	PROPN
cana-1360	4	3	,	,	PUNCT
cana-1360	4	4	navkis	navkis	PROPN
cana-1360	4	5	college	college	PROPN
cana-1360	4	6	of	of	ADP
cana-1360	4	7	engineering	engineering	PROPN
cana-1360	4	8	,	,	PUNCT
cana-1360	4	9	hassan	hassan	PROPN
cana-1360	4	10	.	.	PUNCT
cana-1360	5	1	email	email	NOUN
cana-1360	5	2	:	:	PUNCT
cana-1360	5	3	jalajakshi.prakash@gmail.com	jalajakshi.prakash@gmail.com	X
cana-1360	5	4	2vice	2vice	NUM
cana-1360	5	5	principal	principal	NOUN
cana-1360	5	6	,	,	PUNCT
cana-1360	5	7	research	research	NOUN
cana-1360	5	8	supervisor	supervisor	NOUN
cana-1360	5	9	,	,	PUNCT
cana-1360	5	10	dept	dept	NOUN
cana-1360	5	11	.	.	PROPN
cana-1360	5	12	of	of	ADP
cana-1360	5	13	cse	cse	PROPN
cana-1360	5	14	,	,	PUNCT
cana-1360	5	15	navkis	navkis	PROPN
cana-1360	5	16	college	college	PROPN
cana-1360	5	17	of	of	ADP
cana-1360	5	18	engineering	engineering	PROPN
cana-1360	5	19	,	,	PUNCT
cana-1360	5	20	hassan	hassan	PROPN
cana-1360	5	21	email	email	NOUN
cana-1360	5	22	:	:	PUNCT
cana-1360	5	23	:	:	PUNCT
cana-1360	5	24	mynaan@gmail.com	mynaan@gmail.com	X
cana-1360	5	25	google	google	PROPN
cana-1360	5	26	scholar	scholar	NOUN
cana-1360	5	27	i	i	PROPN
cana-1360	5	28	d	d	PROPN
cana-1360	5	29	:	:	PUNCT
cana-1360	5	30	pwtzkumaaaaj	pwtzkumaaaaj	NOUN
cana-1360	5	31	article	article	NOUN
cana-1360	5	32	history	history	NOUN
cana-1360	5	33	:	:	PUNCT
cana-1360	5	34	received	receive	VERB
cana-1360	5	35	:	:	PUNCT
cana-1360	5	36	31	31	NUM
cana-1360	5	37	-	-	SYM
cana-1360	5	38	05	05	NUM
cana-1360	5	39	-	-	PUNCT
cana-1360	5	40	2024	2024	NUM
cana-1360	5	41	revised	revise	VERB
cana-1360	5	42	:	:	PUNCT
cana-1360	5	43	30	30	NUM
cana-1360	5	44	-	-	SYM
cana-1360	5	45	06	06	NUM
cana-1360	5	46	-	-	PUNCT
cana-1360	5	47	2024	2024	NUM
cana-1360	5	48	accepted	accept	VERB
cana-1360	5	49	:	:	PUNCT
cana-1360	5	50	22	22	NUM
cana-1360	5	51	-	-	SYM
cana-1360	5	52	07	07	NUM
cana-1360	5	53	-	-	PUNCT
cana-1360	5	54	2024	2024	NUM
cana-1360	5	55	abstract	abstract	NOUN
cana-1360	5	56	:	:	PUNCT
cana-1360	5	57	in	in	ADP
cana-1360	5	58	industries	industry	NOUN
cana-1360	5	59	such	such	ADJ
cana-1360	5	60	as	as	ADP
cana-1360	5	61	aviation	aviation	NOUN
cana-1360	5	62	,	,	PUNCT
cana-1360	5	63	accurate	accurate	ADJ
cana-1360	5	64	prediction	prediction	NOUN
cana-1360	5	65	of	of	ADP
cana-1360	5	66	machine	machine	NOUN
cana-1360	5	67	failures	failure	NOUN
cana-1360	5	68	is	be	AUX
cana-1360	5	69	essential	essential	ADJ
cana-1360	5	70	to	to	PART
cana-1360	5	71	prevent	prevent	VERB
cana-1360	5	72	costly	costly	ADJ
cana-1360	5	73	and	and	CCONJ
cana-1360	5	74	potentially	potentially	ADV
cana-1360	5	75	hazardous	hazardous	ADJ
cana-1360	5	76	breakdowns	breakdown	NOUN
cana-1360	5	77	.	.	PUNCT
cana-1360	6	1	traditional	traditional	ADJ
cana-1360	6	2	methods	method	NOUN
cana-1360	6	3	rely	rely	VERB
cana-1360	6	4	on	on	ADP
cana-1360	6	5	detailed	detailed	ADJ
cana-1360	6	6	degradation	degradation	NOUN
cana-1360	6	7	models	model	NOUN
cana-1360	6	8	of	of	ADP
cana-1360	6	9	components	component	NOUN
cana-1360	6	10	,	,	PUNCT
cana-1360	6	11	which	which	PRON
cana-1360	6	12	are	be	AUX
cana-1360	6	13	often	often	ADV
cana-1360	6	14	not	not	PART
cana-1360	6	15	available	available	ADJ
cana-1360	6	16	,	,	PUNCT
cana-1360	6	17	posing	pose	VERB
cana-1360	6	18	challenges	challenge	NOUN
cana-1360	6	19	to	to	ADP
cana-1360	6	20	precise	precise	ADJ
cana-1360	6	21	predictions	prediction	NOUN
cana-1360	6	22	.	.	PUNCT
cana-1360	7	1	to	to	PART
cana-1360	7	2	overcome	overcome	VERB
cana-1360	7	3	this	this	DET
cana-1360	7	4	limitation	limitation	NOUN
cana-1360	7	5	,	,	PUNCT
cana-1360	7	6	the	the	DET
cana-1360	7	7	study	study	NOUN
cana-1360	7	8	proposes	propose	VERB
cana-1360	7	9	the	the	DET
cana-1360	7	10	use	use	NOUN
cana-1360	7	11	of	of	ADP
cana-1360	7	12	deep	deep	ADJ
cana-1360	7	13	convolutional	convolutional	ADJ
cana-1360	7	14	neural	neural	ADJ
cana-1360	7	15	networks	network	NOUN
cana-1360	7	16	(	(	PUNCT
cana-1360	7	17	dcnn	dcnn	PROPN
cana-1360	7	18	)	)	PUNCT
cana-1360	7	19	,	,	PUNCT
cana-1360	7	20	sophisticated	sophisticated	ADJ
cana-1360	7	21	algorithms	algorithm	NOUN
cana-1360	7	22	capable	capable	ADJ
cana-1360	7	23	of	of	ADP
cana-1360	7	24	learning	learn	VERB
cana-1360	7	25	from	from	ADP
cana-1360	7	26	extensive	extensive	ADJ
cana-1360	7	27	datasets	dataset	NOUN
cana-1360	7	28	without	without	ADP
cana-1360	7	29	the	the	DET
cana-1360	7	30	need	need	NOUN
cana-1360	7	31	for	for	ADP
cana-1360	7	32	intricate	intricate	ADJ
cana-1360	7	33	degradation	degradation	NOUN
cana-1360	7	34	models	model	NOUN
cana-1360	7	35	.	.	PUNCT
cana-1360	8	1	dcnns	dcnns	PROPN
cana-1360	8	2	employ	employ	VERB
cana-1360	8	3	a	a	DET
cana-1360	8	4	time	time	NOUN
cana-1360	8	5	window	window	NOUN
cana-1360	8	6	approach	approach	NOUN
cana-1360	8	7	to	to	PART
cana-1360	8	8	discern	discern	VERB
cana-1360	8	9	significant	significant	ADJ
cana-1360	8	10	patterns	pattern	NOUN
cana-1360	8	11	in	in	ADP
cana-1360	8	12	data	datum	NOUN
cana-1360	8	13	,	,	PUNCT
cana-1360	8	14	eliminating	eliminate	VERB
cana-1360	8	15	the	the	DET
cana-1360	8	16	requirement	requirement	NOUN
cana-1360	8	17	for	for	ADP
cana-1360	8	18	specialized	specialized	ADJ
cana-1360	8	19	knowledge	knowledge	NOUN
cana-1360	8	20	in	in	ADP
cana-1360	8	21	failure	failure	NOUN
cana-1360	8	22	prediction	prediction	NOUN
cana-1360	8	23	and	and	CCONJ
cana-1360	8	24	increasing	increase	VERB
cana-1360	8	25	their	their	PRON
cana-1360	8	26	effectiveness	effectiveness	NOUN
cana-1360	8	27	across	across	ADP
cana-1360	8	28	diverse	diverse	ADJ
cana-1360	8	29	scenarios	scenario	NOUN
cana-1360	8	30	.	.	PUNCT
cana-1360	9	1	evaluation	evaluation	NOUN
cana-1360	9	2	using	use	VERB
cana-1360	9	3	aircraft	aircraft	NOUN
cana-1360	9	4	engine	engine	NOUN
cana-1360	9	5	data	datum	NOUN
cana-1360	9	6	illustrates	illustrate	VERB
cana-1360	9	7	that	that	SCONJ
cana-1360	9	8	dcnns	dcnns	ADJ
cana-1360	9	9	surpass	surpass	ADJ
cana-1360	9	10	traditional	traditional	ADJ
cana-1360	9	11	methods	method	NOUN
cana-1360	9	12	in	in	ADP
cana-1360	9	13	reliably	reliably	ADV
cana-1360	9	14	predicting	predict	VERB
cana-1360	9	15	failures	failure	NOUN
cana-1360	9	16	,	,	PUNCT
cana-1360	9	17	representing	represent	VERB
cana-1360	9	18	a	a	DET
cana-1360	9	19	significant	significant	ADJ
cana-1360	9	20	advancement	advancement	NOUN
cana-1360	9	21	in	in	ADP
cana-1360	9	22	predictive	predictive	ADJ
cana-1360	9	23	maintenance	maintenance	NOUN
cana-1360	9	24	.	.	PUNCT
cana-1360	10	1	the	the	DET
cana-1360	10	2	study	study	NOUN
cana-1360	10	3	utilizes	utilize	VERB
cana-1360	10	4	scatterplots	scatterplot	NOUN
cana-1360	10	5	and	and	CCONJ
cana-1360	10	6	histograms	histogram	NOUN
cana-1360	10	7	to	to	PART
cana-1360	10	8	visually	visually	ADV
cana-1360	10	9	analyze	analyze	VERB
cana-1360	10	10	the	the	DET
cana-1360	10	11	distribution	distribution	NOUN
cana-1360	10	12	of	of	ADP
cana-1360	10	13	fault	fault	NOUN
cana-1360	10	14	cycles	cycle	NOUN
cana-1360	10	15	among	among	ADP
cana-1360	10	16	engine	engine	NOUN
cana-1360	10	17	units	unit	NOUN
cana-1360	10	18	.	.	PUNCT
cana-1360	11	1	one	one	NUM
cana-1360	11	2	scatter	scatter	NOUN
cana-1360	11	3	plot	plot	NOUN
cana-1360	11	4	subplot	subplot	NOUN
cana-1360	11	5	displays	display	VERB
cana-1360	11	6	each	each	DET
cana-1360	11	7	engine	engine	NOUN
cana-1360	11	8	unit	unit	NOUN
cana-1360	11	9	as	as	ADP
cana-1360	11	10	a	a	DET
cana-1360	11	11	point	point	NOUN
cana-1360	11	12	,	,	PUNCT
cana-1360	11	13	revealing	reveal	VERB
cana-1360	11	14	patterns	pattern	NOUN
cana-1360	11	15	or	or	CCONJ
cana-1360	11	16	trends	trend	NOUN
cana-1360	11	17	in	in	ADP
cana-1360	11	18	fault	fault	NOUN
cana-1360	11	19	cycles	cycle	NOUN
cana-1360	11	20	.	.	PUNCT
cana-1360	12	1	the	the	DET
cana-1360	12	2	other	other	ADJ
cana-1360	12	3	subplot	subplot	NOUN
cana-1360	12	4	features	feature	VERB
cana-1360	12	5	a	a	DET
cana-1360	12	6	histogram	histogram	NOUN
cana-1360	12	7	illustrating	illustrate	VERB
cana-1360	12	8	the	the	DET
cana-1360	12	9	frequency	frequency	NOUN
cana-1360	12	10	of	of	ADP
cana-1360	12	11	fault	fault	NOUN
cana-1360	12	12	cycles	cycle	NOUN
cana-1360	12	13	across	across	ADP
cana-1360	12	14	all	all	DET
cana-1360	12	15	units	unit	NOUN
cana-1360	12	16	,	,	PUNCT
cana-1360	12	17	including	include	VERB
cana-1360	12	18	statistical	statistical	ADJ
cana-1360	12	19	measures	measure	NOUN
cana-1360	12	20	such	such	ADJ
cana-1360	12	21	as	as	ADP
cana-1360	12	22	minimum	minimum	ADJ
cana-1360	12	23	,	,	PUNCT
cana-1360	12	24	average	average	ADJ
cana-1360	12	25	,	,	PUNCT
cana-1360	12	26	and	and	CCONJ
cana-1360	12	27	maximum	maximum	ADJ
cana-1360	12	28	cycles	cycle	NOUN
cana-1360	12	29	.	.	PUNCT
cana-1360	13	1	these	these	DET
cana-1360	13	2	visualizations	visualization	NOUN
cana-1360	13	3	provide	provide	VERB
cana-1360	13	4	a	a	DET
cana-1360	13	5	thorough	thorough	ADJ
cana-1360	13	6	understanding	understanding	NOUN
cana-1360	13	7	of	of	ADP
cana-1360	13	8	fault	fault	NOUN
cana-1360	13	9	cycle	cycle	NOUN
cana-1360	13	10	distribution	distribution	NOUN
cana-1360	13	11	,	,	PUNCT
cana-1360	13	12	aiding	aid	VERB
cana-1360	13	13	in	in	ADP
cana-1360	13	14	deeper	deep	ADJ
cana-1360	13	15	analysis	analysis	NOUN
cana-1360	13	16	and	and	CCONJ
cana-1360	13	17	interpretation	interpretation	NOUN
cana-1360	13	18	of	of	ADP
cana-1360	13	19	engine	engine	NOUN
cana-1360	13	20	performance	performance	NOUN
cana-1360	13	21	data	datum	NOUN
cana-1360	13	22	.	.	PUNCT
cana-1360	14	1	the	the	DET
cana-1360	14	2	performance	performance	NOUN
cana-1360	14	3	evaluation	evaluation	NOUN
cana-1360	14	4	compares	compare	VERB
cana-1360	14	5	several	several	ADJ
cana-1360	14	6	models	model	NOUN
cana-1360	14	7	:	:	PUNCT
cana-1360	14	8	linear	linear	ADJ
cana-1360	14	9	regression	regression	NOUN
cana-1360	14	10	,	,	PUNCT
cana-1360	14	11	random	random	ADJ
cana-1360	14	12	forest	forest	NOUN
cana-1360	14	13	,	,	PUNCT
cana-1360	14	14	improved	improve	VERB
cana-1360	14	15	linear	linear	PROPN
cana-1360	14	16	regression	regression	NOUN
cana-1360	14	17	,	,	PUNCT
cana-1360	14	18	improved	improve	VERB
cana-1360	14	19	random	random	ADJ
cana-1360	14	20	forest	forest	NOUN
cana-1360	14	21	,	,	PUNCT
cana-1360	14	22	and	and	CCONJ
cana-1360	14	23	the	the	DET
cana-1360	14	24	cox	cox	PROPN
cana-1360	14	25	proportional	proportional	PROPN
cana-1360	14	26	hazards	hazard	NOUN
cana-1360	14	27	model	model	NOUN
cana-1360	14	28	.	.	PUNCT
cana-1360	15	1	evaluating	evaluate	VERB
cana-1360	15	2	rmse	rmse	NOUN
cana-1360	15	3	(	(	PUNCT
cana-1360	15	4	root	root	NOUN
cana-1360	15	5	mean	mean	VERB
cana-1360	15	6	squared	square	VERB
cana-1360	15	7	error	error	NOUN
cana-1360	15	8	)	)	PUNCT
cana-1360	15	9	,	,	PUNCT
cana-1360	15	10	mae	mae	PROPN
cana-1360	15	11	(	(	PUNCT
cana-1360	15	12	mean	mean	ADJ
cana-1360	15	13	absolute	absolute	ADJ
cana-1360	15	14	error	error	NOUN
cana-1360	15	15	)	)	PUNCT
cana-1360	15	16	,	,	PUNCT
cana-1360	15	17	and	and	CCONJ
cana-1360	15	18	r²	r²	VERB
cana-1360	15	19	values	value	NOUN
cana-1360	15	20	for	for	ADP
cana-1360	15	21	both	both	PRON
cana-1360	15	22	training	training	NOUN
cana-1360	15	23	and	and	CCONJ
cana-1360	15	24	test	test	NOUN
cana-1360	15	25	datasets	dataset	NOUN
cana-1360	15	26	reveals	reveal	VERB
cana-1360	15	27	that	that	SCONJ
cana-1360	15	28	the	the	DET
cana-1360	15	29	improved	improve	VERB
cana-1360	15	30	random	random	ADJ
cana-1360	15	31	forest	forest	NOUN
cana-1360	15	32	and	and	CCONJ
cana-1360	15	33	improved	improve	VERB
cana-1360	15	34	linear	linear	PROPN
cana-1360	15	35	regression	regression	NOUN
cana-1360	15	36	models	model	NOUN
cana-1360	15	37	demonstrate	demonstrate	VERB
cana-1360	15	38	lower	low	ADJ
cana-1360	15	39	rmse	rmse	NOUN
cana-1360	15	40	and	and	CCONJ
cana-1360	15	41	mae	mae	PROPN
cana-1360	15	42	values	value	NOUN
cana-1360	15	43	and	and	CCONJ
cana-1360	15	44	higher	high	ADJ
cana-1360	15	45	r²	r²	NOUN
cana-1360	15	46	values	value	NOUN
cana-1360	15	47	.	.	PUNCT
cana-1360	16	1	this	this	PRON
cana-1360	16	2	indicates	indicate	VERB
cana-1360	16	3	superior	superior	ADJ
cana-1360	16	4	predictive	predictive	ADJ
cana-1360	16	5	accuracy	accuracy	NOUN
cana-1360	16	6	and	and	CCONJ
cana-1360	16	7	data	datum	NOUN
cana-1360	16	8	fit	fit	ADJ
cana-1360	16	9	.	.	PUNCT
cana-1360	17	1	the	the	DET
cana-1360	17	2	cox	cox	PROPN
cana-1360	17	3	proportional	proportional	PROPN
cana-1360	17	4	hazards	hazard	NOUN
cana-1360	17	5	model	model	NOUN
cana-1360	17	6	offers	offer	VERB
cana-1360	17	7	unique	unique	ADJ
cana-1360	17	8	insights	insight	NOUN
cana-1360	17	9	into	into	ADP
cana-1360	17	10	risk	risk	NOUN
cana-1360	17	11	factors	factor	NOUN
cana-1360	17	12	but	but	CCONJ
cana-1360	17	13	may	may	AUX
cana-1360	17	14	vary	vary	VERB
cana-1360	17	15	in	in	ADP
cana-1360	17	16	performance	performance	NOUN
cana-1360	17	17	depending	depend	VERB
cana-1360	17	18	on	on	ADP
cana-1360	17	19	the	the	DET
cana-1360	17	20	dataset	dataset	NOUN
cana-1360	17	21	,	,	PUNCT
cana-1360	17	22	emphasizing	emphasize	VERB
cana-1360	17	23	the	the	DET
cana-1360	17	24	importance	importance	NOUN
cana-1360	17	25	of	of	ADP
cana-1360	17	26	model	model	NOUN
cana-1360	17	27	refinement	refinement	NOUN
cana-1360	17	28	and	and	CCONJ
cana-1360	17	29	tuning	tune	VERB
cana-1360	17	30	for	for	ADP
cana-1360	17	31	precise	precise	ADJ
cana-1360	17	32	predictions	prediction	NOUN
cana-1360	17	33	.	.	PUNCT
cana-1360	18	1	this	this	DET
cana-1360	18	2	comprehensive	comprehensive	ADJ
cana-1360	18	3	approach	approach	NOUN
cana-1360	18	4	underscores	underscore	VERB
cana-1360	18	5	the	the	DET
cana-1360	18	6	potential	potential	NOUN
cana-1360	18	7	of	of	ADP
cana-1360	18	8	dcnns	dcnns	ADJ
cana-1360	18	9	and	and	CCONJ
cana-1360	18	10	enhanced	enhance	VERB
cana-1360	18	11	traditional	traditional	ADJ
cana-1360	18	12	models	model	NOUN
cana-1360	18	13	to	to	PART
cana-1360	18	14	advance	advance	VERB
cana-1360	18	15	predictive	predictive	ADJ
cana-1360	18	16	maintenance	maintenance	NOUN
cana-1360	18	17	across	across	ADP
cana-1360	18	18	industries	industry	NOUN
cana-1360	18	19	.	.	PUNCT
cana-1360	19	1	keywords	keyword	NOUN
cana-1360	19	2	:	:	PUNCT
cana-1360	19	3	rul	rul	NOUN
cana-1360	19	4	,	,	PUNCT
cana-1360	19	5	dcnn	dcnn	PROPN
cana-1360	19	6	,	,	PUNCT
cana-1360	19	7	nasa	nasa	PROPN
cana-1360	19	8	,	,	PUNCT
cana-1360	19	9	mapss	mapss	PROPN
cana-1360	19	10	,	,	PUNCT
cana-1360	19	11	phm	phm	PROPN
cana-1360	19	12	,	,	PUNCT
cana-1360	19	13	cbm	cbm	PROPN
cana-1360	19	14	,	,	PUNCT
cana-1360	19	15	mae	mae	PROPN
cana-1360	19	16	.	.	PROPN
cana-1360	19	17	1	1	NUM
cana-1360	19	18	.	.	PUNCT
cana-1360	19	19	introduction	introduction	NOUN
cana-1360	19	20	a.	a.	NOUN
cana-1360	19	21	remaining	remain	VERB
cana-1360	19	22	useful	useful	ADJ
cana-1360	19	23	life	life	NOUN
cana-1360	19	24	rul	rul	NOUN
cana-1360	19	25	estimation	estimation	NOUN
cana-1360	19	26	is	be	AUX
cana-1360	19	27	similar	similar	ADJ
cana-1360	19	28	to	to	ADP
cana-1360	19	29	predicting	predict	VERB
cana-1360	19	30	the	the	DET
cana-1360	19	31	future	future	ADJ
cana-1360	19	32	performance	performance	NOUN
cana-1360	19	33	of	of	ADP
cana-1360	19	34	machines	machine	NOUN
cana-1360	19	35	.	.	PUNCT
cana-1360	20	1	imagine	imagine	VERB
cana-1360	20	2	knowing	know	VERB
cana-1360	20	3	exactly	exactly	ADV
cana-1360	20	4	how	how	SCONJ
cana-1360	20	5	long	long	ADV
cana-1360	20	6	your	your	PRON
cana-1360	20	7	car	car	NOUN
cana-1360	20	8	engine	engine	NOUN
cana-1360	20	9	or	or	CCONJ
cana-1360	20	10	a	a	DET
cana-1360	20	11	specific	specific	ADJ
cana-1360	20	12	piece	piece	NOUN
cana-1360	20	13	of	of	ADP
cana-1360	20	14	equipment	equipment	NOUN
cana-1360	20	15	will	will	AUX
cana-1360	20	16	operate	operate	VERB
cana-1360	20	17	efficiently	efficiently	ADV
cana-1360	20	18	before	before	ADP
cana-1360	20	19	needing	need	VERB
cana-1360	20	20	communications	communication	NOUN
cana-1360	20	21	on	on	ADP
cana-1360	20	22	applied	apply	VERB
cana-1360	20	23	nonlinear	nonlinear	ADJ
cana-1360	20	24	analysis	analysis	NOUN
cana-1360	20	25	issn	issn	NOUN
cana-1360	20	26	:	:	PUNCT
cana-1360	20	27	1074	1074	NUM
cana-1360	20	28	-	-	PUNCT
cana-1360	20	29	133x	133x	NUM
cana-1360	20	30	vol	vol	NOUN
cana-1360	20	31	31	31	NUM
cana-1360	20	32	no	no	NOUN
cana-1360	20	33	.	.	PUNCT
cana-1360	21	1	6s	6s	NUM
cana-1360	21	2	(	(	PUNCT
cana-1360	21	3	2024	2024	NUM
cana-1360	21	4	)	)	PUNCT
cana-1360	21	5	730	730	NUM
cana-1360	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	21	7	repair	repair	NOUN
cana-1360	21	8	or	or	CCONJ
cana-1360	21	9	replacement	replacement	NOUN
cana-1360	21	10	.	.	PUNCT
cana-1360	22	1	this	this	DET
cana-1360	22	2	insight	insight	NOUN
cana-1360	22	3	helps	help	VERB
cana-1360	22	4	businesses	business	NOUN
cana-1360	22	5	improve	improve	VERB
cana-1360	22	6	maintenance	maintenance	NOUN
cana-1360	22	7	planning	planning	NOUN
cana-1360	22	8	by	by	ADP
cana-1360	22	9	identifying	identify	VERB
cana-1360	22	10	the	the	DET
cana-1360	22	11	optimal	optimal	ADJ
cana-1360	22	12	times	time	NOUN
cana-1360	22	13	to	to	PART
cana-1360	22	14	address	address	VERB
cana-1360	22	15	potential	potential	ADJ
cana-1360	22	16	issues	issue	NOUN
cana-1360	22	17	,	,	PUNCT
cana-1360	22	18	thus	thus	ADV
cana-1360	22	19	preventing	prevent	VERB
cana-1360	22	20	expensive	expensive	ADJ
cana-1360	22	21	and	and	CCONJ
cana-1360	22	22	disruptive	disruptive	ADJ
cana-1360	22	23	unexpected	unexpected	ADJ
cana-1360	22	24	breakdowns	breakdown	NOUN
cana-1360	22	25	.	.	PUNCT
cana-1360	23	1	it	it	PRON
cana-1360	23	2	's	be	AUX
cana-1360	23	3	like	like	ADP
cana-1360	23	4	being	be	AUX
cana-1360	23	5	aware	aware	ADJ
cana-1360	23	6	of	of	ADP
cana-1360	23	7	when	when	SCONJ
cana-1360	23	8	your	your	PRON
cana-1360	23	9	phone	phone	NOUN
cana-1360	23	10	battery	battery	NOUN
cana-1360	23	11	will	will	AUX
cana-1360	23	12	run	run	VERB
cana-1360	23	13	out	out	ADP
cana-1360	23	14	,	,	PUNCT
cana-1360	23	15	allowing	allow	VERB
cana-1360	23	16	you	you	PRON
cana-1360	23	17	to	to	PART
cana-1360	23	18	recharge	recharge	VERB
cana-1360	23	19	it	it	PRON
cana-1360	23	20	before	before	SCONJ
cana-1360	23	21	it	it	PRON
cana-1360	23	22	completely	completely	ADV
cana-1360	23	23	dies	die	VERB
cana-1360	23	24	.	.	PUNCT
cana-1360	24	1	by	by	ADP
cana-1360	24	2	analyzing	analyze	VERB
cana-1360	24	3	historical	historical	ADJ
cana-1360	24	4	data	datum	NOUN
cana-1360	24	5	on	on	ADP
cana-1360	24	6	the	the	DET
cana-1360	24	7	wear	wear	NOUN
cana-1360	24	8	and	and	CCONJ
cana-1360	24	9	tear	tear	NOUN
cana-1360	24	10	of	of	ADP
cana-1360	24	11	machines	machine	NOUN
cana-1360	24	12	over	over	ADP
cana-1360	24	13	time	time	NOUN
cana-1360	24	14	,	,	PUNCT
cana-1360	24	15	rul	rul	NOUN
cana-1360	24	16	estimation	estimation	NOUN
cana-1360	24	17	enables	enable	VERB
cana-1360	24	18	cost	cost	NOUN
cana-1360	24	19	and	and	CCONJ
cana-1360	24	20	time	time	NOUN
cana-1360	24	21	savings	saving	NOUN
cana-1360	24	22	while	while	SCONJ
cana-1360	24	23	ensuring	ensure	VERB
cana-1360	24	24	smooth	smooth	ADJ
cana-1360	24	25	operations	operation	NOUN
cana-1360	24	26	.	.	PUNCT
cana-1360	25	1	remaining	remain	VERB
cana-1360	25	2	useful	useful	ADJ
cana-1360	25	3	life	life	NOUN
cana-1360	25	4	(	(	PUNCT
cana-1360	25	5	rul	rul	NOUN
cana-1360	25	6	)	)	PUNCT
cana-1360	25	7	is	be	AUX
cana-1360	25	8	a	a	DET
cana-1360	25	9	pivotal	pivotal	ADJ
cana-1360	25	10	concept	concept	NOUN
cana-1360	25	11	in	in	ADP
cana-1360	25	12	predictive	predictive	ADJ
cana-1360	25	13	maintenance	maintenance	NOUN
cana-1360	25	14	and	and	CCONJ
cana-1360	25	15	reliability	reliability	NOUN
cana-1360	25	16	engineering	engineering	NOUN
cana-1360	25	17	,	,	PUNCT
cana-1360	25	18	representing	represent	VERB
cana-1360	25	19	the	the	DET
cana-1360	25	20	estimated	estimate	VERB
cana-1360	25	21	duration	duration	NOUN
cana-1360	25	22	that	that	SCONJ
cana-1360	25	23	a	a	DET
cana-1360	25	24	machine	machine	NOUN
cana-1360	25	25	,	,	PUNCT
cana-1360	25	26	component	component	NOUN
cana-1360	25	27	,	,	PUNCT
cana-1360	25	28	or	or	CCONJ
cana-1360	25	29	system	system	NOUN
cana-1360	25	30	can	can	AUX
cana-1360	25	31	operate	operate	VERB
cana-1360	25	32	before	before	ADP
cana-1360	25	33	needing	need	VERB
cana-1360	25	34	repair	repair	NOUN
cana-1360	25	35	or	or	CCONJ
cana-1360	25	36	replacement	replacement	NOUN
cana-1360	25	37	.	.	PUNCT
cana-1360	26	1	precise	precise	ADJ
cana-1360	26	2	rul	rul	NOUN
cana-1360	26	3	predictions	prediction	NOUN
cana-1360	26	4	empower	empower	NOUN
cana-1360	26	5	organizations	organization	NOUN
cana-1360	26	6	to	to	PART
cana-1360	26	7	schedule	schedule	VERB
cana-1360	26	8	maintenance	maintenance	NOUN
cana-1360	26	9	proactively	proactively	ADV
cana-1360	26	10	,	,	PUNCT
cana-1360	26	11	preventing	prevent	VERB
cana-1360	26	12	unforeseen	unforeseen	ADJ
cana-1360	26	13	failures	failure	NOUN
cana-1360	26	14	,	,	PUNCT
cana-1360	26	15	reducing	reduce	VERB
cana-1360	26	16	downtime	downtime	NOUN
cana-1360	26	17	,	,	PUNCT
cana-1360	26	18	and	and	CCONJ
cana-1360	26	19	optimizing	optimize	VERB
cana-1360	26	20	maintenance	maintenance	NOUN
cana-1360	26	21	schedules	schedule	NOUN
cana-1360	26	22	.	.	PUNCT
cana-1360	27	1	this	this	DET
cana-1360	27	2	proactive	proactive	ADJ
cana-1360	27	3	approach	approach	NOUN
cana-1360	27	4	is	be	AUX
cana-1360	27	5	especially	especially	ADV
cana-1360	27	6	beneficial	beneficial	ADJ
cana-1360	27	7	in	in	ADP
cana-1360	27	8	industries	industry	NOUN
cana-1360	27	9	where	where	SCONJ
cana-1360	27	10	equipment	equipment	NOUN
cana-1360	27	11	reliability	reliability	NOUN
cana-1360	27	12	is	be	AUX
cana-1360	27	13	paramount	paramount	ADJ
cana-1360	27	14	,	,	PUNCT
cana-1360	27	15	including	include	VERB
cana-1360	27	16	aviation	aviation	NOUN
cana-1360	27	17	,	,	PUNCT
cana-1360	27	18	manufacturing	manufacturing	NOUN
cana-1360	27	19	,	,	PUNCT
cana-1360	27	20	and	and	CCONJ
cana-1360	27	21	energy	energy	NOUN
cana-1360	27	22	sectors	sector	NOUN
cana-1360	27	23	.	.	PUNCT
cana-1360	28	1	estimating	estimate	VERB
cana-1360	28	2	rul	rul	NOUN
cana-1360	28	3	involves	involve	VERB
cana-1360	28	4	examining	examine	VERB
cana-1360	28	5	historical	historical	ADJ
cana-1360	28	6	and	and	CCONJ
cana-1360	28	7	real	real	ADJ
cana-1360	28	8	-	-	PUNCT
cana-1360	28	9	time	time	NOUN
cana-1360	28	10	data	datum	NOUN
cana-1360	28	11	collected	collect	VERB
cana-1360	28	12	from	from	ADP
cana-1360	28	13	diverse	diverse	ADJ
cana-1360	28	14	sensors	sensor	NOUN
cana-1360	28	15	and	and	CCONJ
cana-1360	28	16	operational	operational	ADJ
cana-1360	28	17	parameters	parameter	NOUN
cana-1360	28	18	.	.	PUNCT
cana-1360	29	1	advanced	advance	VERB
cana-1360	29	2	ai	ai	VERB
cana-1360	29	3	techniques	technique	NOUN
cana-1360	29	4	such	such	ADJ
cana-1360	29	5	as	as	ADP
cana-1360	29	6	deep	deep	ADJ
cana-1360	29	7	convolutional	convolutional	ADJ
cana-1360	29	8	neural	neural	ADJ
cana-1360	29	9	networks	network	NOUN
cana-1360	29	10	(	(	PUNCT
cana-1360	29	11	dcnns	dcnns	ADJ
cana-1360	29	12	)	)	PUNCT
cana-1360	29	13	play	play	VERB
cana-1360	29	14	a	a	DET
cana-1360	29	15	crucial	crucial	ADJ
cana-1360	29	16	role	role	NOUN
cana-1360	29	17	in	in	ADP
cana-1360	29	18	this	this	DET
cana-1360	29	19	analysis	analysis	NOUN
cana-1360	29	20	.	.	PUNCT
cana-1360	30	1	these	these	DET
cana-1360	30	2	models	model	NOUN
cana-1360	30	3	are	be	AUX
cana-1360	30	4	trained	train	VERB
cana-1360	30	5	on	on	ADP
cana-1360	30	6	extensive	extensive	ADJ
cana-1360	30	7	datasets	dataset	NOUN
cana-1360	30	8	like	like	ADP
cana-1360	30	9	nasa	nasa	PROPN
cana-1360	30	10	's	's	PART
cana-1360	30	11	predictive	predictive	ADJ
cana-1360	30	12	maintenance	maintenance	NOUN
cana-1360	30	13	(	(	PUNCT
cana-1360	30	14	rul	rul	NOUN
cana-1360	30	15	)	)	PUNCT
cana-1360	30	16	database	database	NOUN
cana-1360	30	17	,	,	PUNCT
cana-1360	30	18	which	which	PRON
cana-1360	30	19	contains	contain	VERB
cana-1360	30	20	detailed	detailed	ADJ
cana-1360	30	21	records	record	NOUN
cana-1360	30	22	of	of	ADP
cana-1360	30	23	machinery	machinery	NOUN
cana-1360	30	24	operations	operation	NOUN
cana-1360	30	25	and	and	CCONJ
cana-1360	30	26	failures	failure	NOUN
cana-1360	30	27	.	.	PUNCT
cana-1360	31	1	by	by	ADP
cana-1360	31	2	detecting	detect	VERB
cana-1360	31	3	patterns	pattern	NOUN
cana-1360	31	4	and	and	CCONJ
cana-1360	31	5	anomalies	anomaly	NOUN
cana-1360	31	6	within	within	ADP
cana-1360	31	7	the	the	DET
cana-1360	31	8	data	datum	NOUN
cana-1360	31	9	,	,	PUNCT
cana-1360	31	10	dcnns	dcnns	PROPN
cana-1360	31	11	can	can	AUX
cana-1360	31	12	deliver	deliver	VERB
cana-1360	31	13	highly	highly	ADV
cana-1360	31	14	precise	precise	ADJ
cana-1360	31	15	rul	rul	NOUN
cana-1360	31	16	predictions	prediction	NOUN
cana-1360	31	17	.	.	PUNCT
cana-1360	32	1	this	this	DET
cana-1360	32	2	predictive	predictive	ADJ
cana-1360	32	3	capability	capability	NOUN
cana-1360	32	4	not	not	PART
cana-1360	32	5	only	only	ADV
cana-1360	32	6	enhances	enhance	VERB
cana-1360	32	7	maintenance	maintenance	NOUN
cana-1360	32	8	planning	planning	NOUN
cana-1360	32	9	but	but	CCONJ
cana-1360	32	10	also	also	ADV
cana-1360	32	11	enhances	enhance	VERB
cana-1360	32	12	safety	safety	NOUN
cana-1360	32	13	and	and	CCONJ
cana-1360	32	14	efficiency	efficiency	NOUN
cana-1360	32	15	by	by	ADP
cana-1360	32	16	allowing	allow	VERB
cana-1360	32	17	potential	potential	ADJ
cana-1360	32	18	issues	issue	NOUN
cana-1360	32	19	to	to	PART
cana-1360	32	20	be	be	AUX
cana-1360	32	21	addressed	address	VERB
cana-1360	32	22	proactively	proactively	ADV
cana-1360	32	23	before	before	SCONJ
cana-1360	32	24	they	they	PRON
cana-1360	32	25	escalate	escalate	VERB
cana-1360	32	26	.	.	PUNCT
cana-1360	33	1	as	as	SCONJ
cana-1360	33	2	technology	technology	NOUN
cana-1360	33	3	continues	continue	VERB
cana-1360	33	4	to	to	PART
cana-1360	33	5	advance	advance	VERB
cana-1360	33	6	,	,	PUNCT
cana-1360	33	7	integrating	integrate	VERB
cana-1360	33	8	sophisticated	sophisticated	ADJ
cana-1360	33	9	predictive	predictive	ADJ
cana-1360	33	10	models	model	NOUN
cana-1360	33	11	with	with	ADP
cana-1360	33	12	comprehensive	comprehensive	ADJ
cana-1360	33	13	datasets	dataset	NOUN
cana-1360	33	14	will	will	AUX
cana-1360	33	15	further	far	ADV
cana-1360	33	16	refine	refine	VERB
cana-1360	33	17	the	the	DET
cana-1360	33	18	accuracy	accuracy	NOUN
cana-1360	33	19	and	and	CCONJ
cana-1360	33	20	relevance	relevance	NOUN
cana-1360	33	21	of	of	ADP
cana-1360	33	22	rul	rul	NOUN
cana-1360	33	23	predictions	prediction	NOUN
cana-1360	33	24	across	across	ADP
cana-1360	33	25	various	various	ADJ
cana-1360	33	26	industries	industry	NOUN
cana-1360	33	27	.	.	PUNCT
cana-1360	34	1	b.	b.	NOUN
cana-1360	34	2	importance	importance	NOUN
cana-1360	34	3	of	of	ADP
cana-1360	34	4	rul	rul	PROPN
cana-1360	34	5	c.	c.	NOUN
cana-1360	34	6	motivation	motivation	NOUN
cana-1360	34	7	2	2	NUM
cana-1360	34	8	.	.	PUNCT
cana-1360	34	9	literature	literature	NOUN
cana-1360	34	10	survey	survey	PROPN
cana-1360	34	11	a.	a.	NOUN
cana-1360	34	12	survey	survey	PROPN
cana-1360	34	13	accurately	accurately	ADV
cana-1360	34	14	assessing	assess	VERB
cana-1360	34	15	the	the	DET
cana-1360	34	16	remaining	remain	VERB
cana-1360	34	17	useful	useful	ADJ
cana-1360	34	18	life	life	NOUN
cana-1360	34	19	(	(	PUNCT
cana-1360	34	20	rul	rul	NOUN
cana-1360	34	21	)	)	PUNCT
cana-1360	34	22	of	of	ADP
cana-1360	34	23	lithium	lithium	NOUN
cana-1360	34	24	batteries	battery	NOUN
cana-1360	34	25	is	be	AUX
cana-1360	34	26	crucial	crucial	ADJ
cana-1360	34	27	in	in	ADP
cana-1360	34	28	battery	battery	NOUN
cana-1360	34	29	management	management	NOUN
cana-1360	34	30	systems	system	NOUN
cana-1360	34	31	for	for	ADP
cana-1360	34	32	efficient	efficient	ADJ
cana-1360	34	33	management	management	NOUN
cana-1360	34	34	,	,	PUNCT
cana-1360	34	35	optimization	optimization	NOUN
cana-1360	34	36	of	of	ADP
cana-1360	34	37	performance	performance	NOUN
cana-1360	34	38	,	,	PUNCT
cana-1360	34	39	and	and	CCONJ
cana-1360	34	40	improving	improve	VERB
cana-1360	34	41	user	user	NOUN
cana-1360	34	42	experience	experience	NOUN
cana-1360	34	43	.	.	PUNCT
cana-1360	35	1	current	current	ADJ
cana-1360	35	2	deep	deep	ADJ
cana-1360	35	3	learning	learning	NOUN
cana-1360	35	4	methods	method	NOUN
cana-1360	35	5	for	for	ADP
cana-1360	35	6	estimating	estimate	VERB
cana-1360	35	7	battery	battery	NOUN
cana-1360	35	8	rul	rul	NOUN
cana-1360	35	9	primarily	primarily	ADV
cana-1360	35	10	rely	rely	VERB
cana-1360	35	11	on	on	ADP
cana-1360	35	12	individual	individual	ADJ
cana-1360	35	13	neural	neural	ADJ
cana-1360	35	14	networks	network	NOUN
cana-1360	35	15	,	,	PUNCT
cana-1360	35	16	often	often	ADV
cana-1360	35	17	neglecting	neglect	VERB
cana-1360	35	18	important	important	ADJ
cana-1360	35	19	spatial	spatial	ADJ
cana-1360	35	20	-	-	PUNCT
cana-1360	35	21	temporal	temporal	ADJ
cana-1360	35	22	characteristics	characteristic	NOUN
cana-1360	35	23	.	.	PUNCT
cana-1360	36	1	in	in	ADP
cana-1360	36	2	this	this	DET
cana-1360	36	3	research	research	NOUN
cana-1360	36	4	,	,	PUNCT
cana-1360	36	5	we	we	PRON
cana-1360	36	6	present	present	VERB
cana-1360	36	7	a	a	DET
cana-1360	36	8	time	time	NOUN
cana-1360	36	9	series	series	NOUN
cana-1360	36	10	prediction	prediction	NOUN
cana-1360	36	11	framework	framework	NOUN
cana-1360	36	12	that	that	PRON
cana-1360	36	13	utilizes	utilize	VERB
cana-1360	36	14	a	a	DET
cana-1360	36	15	gated	gate	VERB
cana-1360	36	16	recurrent	recurrent	ADJ
cana-1360	36	17	unit	unit	NOUN
cana-1360	36	18	(	(	PUNCT
cana-1360	36	19	gru	gru	PROPN
cana-1360	36	20	)	)	PUNCT
cana-1360	36	21	combined	combine	VERB
cana-1360	36	22	with	with	ADP
cana-1360	36	23	a	a	DET
cana-1360	36	24	spatial	spatial	ADJ
cana-1360	36	25	-	-	PUNCT
cana-1360	36	26	temporal	temporal	ADJ
cana-1360	36	27	attention	attention	NOUN
cana-1360	36	28	mechanism	mechanism	NOUN
cana-1360	36	29	.	.	PUNCT
cana-1360	37	1	our	our	PRON
cana-1360	37	2	approach	approach	NOUN
cana-1360	37	3	begins	begin	VERB
cana-1360	37	4	with	with	ADP
cana-1360	37	5	screening	screen	VERB
cana-1360	37	6	data	datum	NOUN
cana-1360	37	7	highly	highly	ADV
cana-1360	37	8	correlated	correlate	VERB
cana-1360	37	9	with	with	ADP
cana-1360	37	10	battery	battery	NOUN
cana-1360	37	11	capacity	capacity	NOUN
cana-1360	37	12	using	use	VERB
cana-1360	37	13	correlation	correlation	NOUN
cana-1360	37	14	coefficient	coefficient	NOUN
cana-1360	37	15	analysis	analysis	NOUN
cana-1360	37	16	.	.	PUNCT
cana-1360	38	1	the	the	DET
cana-1360	38	2	screened	screen	VERB
cana-1360	38	3	data	data	NOUN
cana-1360	38	4	is	be	AUX
cana-1360	38	5	subsequently	subsequently	ADV
cana-1360	38	6	processed	process	VERB
cana-1360	38	7	by	by	ADP
cana-1360	38	8	a	a	DET
cana-1360	38	9	series	series	NOUN
cana-1360	38	10	of	of	ADP
cana-1360	38	11	gru	gru	PROPN
cana-1360	38	12	network	network	NOUN
cana-1360	38	13	layers	layer	NOUN
cana-1360	38	14	to	to	PART
cana-1360	38	15	illustrate	illustrate	VERB
cana-1360	38	16	the	the	DET
cana-1360	38	17	relationship	relationship	NOUN
cana-1360	38	18	between	between	ADP
cana-1360	38	19	battery	battery	NOUN
cana-1360	38	20	data	datum	NOUN
cana-1360	38	21	and	and	CCONJ
cana-1360	38	22	capacity	capacity	NOUN
cana-1360	38	23	.	.	PUNCT
cana-1360	39	1	after	after	ADP
cana-1360	39	2	this	this	PRON
cana-1360	39	3	,	,	PUNCT
cana-1360	39	4	the	the	DET
cana-1360	39	5	extracted	extract	VERB
cana-1360	39	6	features	feature	NOUN
cana-1360	39	7	undergo	undergo	VERB
cana-1360	39	8	a	a	DET
cana-1360	39	9	deeper	deep	ADJ
cana-1360	39	10	analysis	analysis	NOUN
cana-1360	39	11	,	,	PUNCT
cana-1360	39	12	where	where	SCONJ
cana-1360	39	13	a	a	DET
cana-1360	39	14	spatial	spatial	ADJ
cana-1360	39	15	-	-	PUNCT
cana-1360	39	16	temporal	temporal	ADJ
cana-1360	39	17	attention	attention	NOUN
cana-1360	39	18	mechanism	mechanism	NOUN
cana-1360	39	19	assigns	assign	NOUN
cana-1360	39	20	varying	vary	VERB
cana-1360	39	21	weights	weight	NOUN
cana-1360	39	22	to	to	ADP
cana-1360	39	23	these	these	DET
cana-1360	39	24	features	feature	NOUN
cana-1360	39	25	across	across	ADP
cana-1360	39	26	temporal	temporal	ADJ
cana-1360	39	27	and	and	CCONJ
cana-1360	39	28	spatial	spatial	ADJ
cana-1360	39	29	dimensions	dimension	NOUN
cana-1360	39	30	,	,	PUNCT
cana-1360	39	31	thereby	thereby	ADV
cana-1360	39	32	capturing	capture	VERB
cana-1360	39	33	complex	complex	ADJ
cana-1360	39	34	relationships	relationship	NOUN
cana-1360	39	35	more	more	ADV
cana-1360	39	36	effectively	effectively	ADV
cana-1360	39	37	.	.	PUNCT
cana-1360	40	1	we	we	PRON
cana-1360	40	2	tested	test	VERB
cana-1360	40	3	the	the	DET
cana-1360	40	4	proposed	propose	VERB
cana-1360	40	5	method	method	NOUN
cana-1360	40	6	on	on	ADP
cana-1360	40	7	the	the	DET
cana-1360	40	8	nasa	nasa	PROPN
cana-1360	40	9	dataset	dataset	NOUN
cana-1360	40	10	,	,	PUNCT
cana-1360	40	11	and	and	CCONJ
cana-1360	40	12	the	the	DET
cana-1360	40	13	experimental	experimental	ADJ
cana-1360	40	14	results	result	NOUN
cana-1360	40	15	confirm	confirm	VERB
cana-1360	40	16	that	that	SCONJ
cana-1360	40	17	our	our	PRON
cana-1360	40	18	network	network	NOUN
cana-1360	40	19	achieves	achieve	VERB
cana-1360	40	20	accurate	accurate	ADJ
cana-1360	40	21	time	time	NOUN
cana-1360	40	22	series	series	NOUN
cana-1360	40	23	predictions	prediction	NOUN
cana-1360	40	24	with	with	ADP
cana-1360	40	25	a	a	DET
cana-1360	40	26	mean	mean	ADJ
cana-1360	40	27	absolute	absolute	ADJ
cana-1360	40	28	error	error	NOUN
cana-1360	40	29	(	(	PUNCT
cana-1360	40	30	mae	mae	PROPN
cana-1360	40	31	)	)	PUNCT
cana-1360	40	32	of	of	ADP
cana-1360	40	33	less	less	ADJ
cana-1360	40	34	than	than	ADP
cana-1360	40	35	1.5%.[1	1.5%.[1	NUM
cana-1360	40	36	]	]	PUNCT
cana-1360	40	37	communications	communication	NOUN
cana-1360	40	38	on	on	ADP
cana-1360	40	39	applied	apply	VERB
cana-1360	40	40	nonlinear	nonlinear	ADJ
cana-1360	40	41	analysis	analysis	NOUN
cana-1360	40	42	issn	issn	NOUN
cana-1360	40	43	:	:	PUNCT
cana-1360	40	44	1074	1074	NUM
cana-1360	40	45	-	-	PUNCT
cana-1360	40	46	133x	133x	NUM
cana-1360	40	47	vol	vol	NOUN
cana-1360	40	48	31	31	NUM
cana-1360	40	49	no	no	NOUN
cana-1360	40	50	.	.	PUNCT
cana-1360	41	1	6s	6s	NUM
cana-1360	41	2	(	(	PUNCT
cana-1360	41	3	2024	2024	NUM
cana-1360	41	4	)	)	PUNCT
cana-1360	41	5	731	731	NUM
cana-1360	41	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	41	7	estimating	estimate	VERB
cana-1360	41	8	the	the	DET
cana-1360	41	9	remaining	remain	VERB
cana-1360	41	10	useful	useful	ADJ
cana-1360	41	11	life	life	NOUN
cana-1360	41	12	(	(	PUNCT
cana-1360	41	13	rul	rul	NOUN
cana-1360	41	14	)	)	PUNCT
cana-1360	41	15	is	be	AUX
cana-1360	41	16	crucial	crucial	ADJ
cana-1360	41	17	in	in	ADP
cana-1360	41	18	prognostics	prognostic	NOUN
cana-1360	41	19	and	and	CCONJ
cana-1360	41	20	health	health	NOUN
cana-1360	41	21	management	management	NOUN
cana-1360	41	22	(	(	PUNCT
cana-1360	41	23	phm	phm	PROPN
cana-1360	41	24	)	)	PUNCT
cana-1360	41	25	as	as	SCONJ
cana-1360	41	26	it	it	PRON
cana-1360	41	27	effectively	effectively	ADV
cana-1360	41	28	enhances	enhance	VERB
cana-1360	41	29	reliability	reliability	NOUN
cana-1360	41	30	,	,	PUNCT
cana-1360	41	31	increases	increase	VERB
cana-1360	41	32	availability	availability	NOUN
cana-1360	41	33	,	,	PUNCT
cana-1360	41	34	and	and	CCONJ
cana-1360	41	35	reduces	reduce	VERB
cana-1360	41	36	costs	cost	NOUN
cana-1360	41	37	.	.	PUNCT
cana-1360	42	1	however	however	ADV
cana-1360	42	2	,	,	PUNCT
cana-1360	42	3	assessing	assess	VERB
cana-1360	42	4	the	the	DET
cana-1360	42	5	uncertainty	uncertainty	NOUN
cana-1360	42	6	level	level	NOUN
cana-1360	42	7	in	in	ADP
cana-1360	42	8	deep	deep	ADJ
cana-1360	42	9	learning	learning	NOUN
cana-1360	42	10	-	-	PUNCT
cana-1360	42	11	based	base	VERB
cana-1360	42	12	rul	rul	NOUN
cana-1360	42	13	prediction	prediction	NOUN
cana-1360	42	14	models	model	NOUN
cana-1360	42	15	is	be	AUX
cana-1360	42	16	challenging	challenging	ADJ
cana-1360	42	17	,	,	PUNCT
cana-1360	42	18	and	and	CCONJ
cana-1360	42	19	stochastic	stochastic	ADJ
cana-1360	42	20	process	process	NOUN
cana-1360	42	21	-	-	PUNCT
cana-1360	42	22	based	base	VERB
cana-1360	42	23	models	model	NOUN
cana-1360	42	24	struggle	struggle	VERB
cana-1360	42	25	with	with	ADP
cana-1360	42	26	handling	handle	VERB
cana-1360	42	27	complex	complex	ADJ
cana-1360	42	28	and	and	CCONJ
cana-1360	42	29	large	large	ADJ
cana-1360	42	30	datasets	dataset	NOUN
cana-1360	42	31	.	.	PUNCT
cana-1360	43	1	therefore	therefore	ADV
cana-1360	43	2	,	,	PUNCT
cana-1360	43	3	this	this	DET
cana-1360	43	4	paper	paper	NOUN
cana-1360	43	5	proposes	propose	VERB
cana-1360	43	6	a	a	DET
cana-1360	43	7	wiener	wiener	NOUN
cana-1360	43	8	process	process	NOUN
cana-1360	43	9	model	model	NOUN
cana-1360	43	10	for	for	ADP
cana-1360	43	11	rul	rul	NOUN
cana-1360	43	12	prediction	prediction	NOUN
cana-1360	43	13	that	that	PRON
cana-1360	43	14	integrates	integrate	VERB
cana-1360	43	15	a	a	DET
cana-1360	43	16	transformer	transformer	ADJ
cana-1360	43	17	neural	neural	ADJ
cana-1360	43	18	network	network	NOUN
cana-1360	43	19	.	.	PUNCT
cana-1360	44	1	first	first	ADV
cana-1360	44	2	,	,	PUNCT
cana-1360	44	3	the	the	DET
cana-1360	44	4	historical	historical	ADJ
cana-1360	44	5	data	data	NOUN
cana-1360	44	6	is	be	AUX
cana-1360	44	7	filtered	filter	VERB
cana-1360	44	8	and	and	CCONJ
cana-1360	44	9	smoothed	smooth	VERB
cana-1360	44	10	,	,	PUNCT
cana-1360	44	11	and	and	CCONJ
cana-1360	44	12	the	the	DET
cana-1360	44	13	degradation	degradation	NOUN
cana-1360	44	14	trend	trend	NOUN
cana-1360	44	15	in	in	ADP
cana-1360	44	16	the	the	DET
cana-1360	44	17	processed	process	VERB
cana-1360	44	18	historical	historical	ADJ
cana-1360	44	19	data	datum	NOUN
cana-1360	44	20	is	be	AUX
cana-1360	44	21	extracted	extract	VERB
cana-1360	44	22	using	use	VERB
cana-1360	44	23	the	the	DET
cana-1360	44	24	complete	complete	ADJ
cana-1360	44	25	ensemble	ensemble	ADJ
cana-1360	44	26	empirical	empirical	ADJ
cana-1360	44	27	mode	mode	NOUN
cana-1360	44	28	decomposition	decomposition	NOUN
cana-1360	44	29	with	with	ADP
cana-1360	44	30	adaptive	adaptive	ADJ
cana-1360	44	31	noise	noise	NOUN
cana-1360	44	32	(	(	PUNCT
cana-1360	44	33	ceemdan	ceemdan	ADJ
cana-1360	44	34	)	)	PUNCT
cana-1360	44	35	technique	technique	NOUN
cana-1360	44	36	.	.	PUNCT
cana-1360	45	1	based	base	VERB
cana-1360	45	2	on	on	ADP
cana-1360	45	3	the	the	DET
cana-1360	45	4	obtained	obtain	VERB
cana-1360	45	5	degradation	degradation	NOUN
cana-1360	45	6	pattern	pattern	NOUN
cana-1360	45	7	,	,	PUNCT
cana-1360	45	8	the	the	DET
cana-1360	45	9	training	training	NOUN
cana-1360	45	10	and	and	CCONJ
cana-1360	45	11	test	test	NOUN
cana-1360	45	12	datasets	dataset	NOUN
cana-1360	45	13	have	have	AUX
cana-1360	45	14	been	be	AUX
cana-1360	45	15	developed	develop	VERB
cana-1360	45	16	using	use	VERB
cana-1360	45	17	moving	move	VERB
cana-1360	45	18	window	window	NOUN
cana-1360	45	19	techniques	technique	NOUN
cana-1360	45	20	to	to	PART
cana-1360	45	21	train	train	VERB
cana-1360	45	22	an	an	DET
cana-1360	45	23	optimized	optimize	VERB
cana-1360	45	24	transformer	transformer	NOUN
cana-1360	45	25	neural	neural	ADJ
cana-1360	45	26	network	network	NOUN
cana-1360	45	27	.	.	PUNCT
cana-1360	46	1	the	the	DET
cana-1360	46	2	trained	train	VERB
cana-1360	46	3	transformer	transformer	NOUN
cana-1360	46	4	neural	neural	ADJ
cana-1360	46	5	network	network	NOUN
cana-1360	46	6	is	be	AUX
cana-1360	46	7	then	then	ADV
cana-1360	46	8	used	use	VERB
cana-1360	46	9	to	to	PART
cana-1360	46	10	adaptively	adaptively	ADV
cana-1360	46	11	identify	identify	VERB
cana-1360	46	12	the	the	DET
cana-1360	46	13	wiener	wiener	NOUN
cana-1360	46	14	drift	drift	NOUN
cana-1360	46	15	coefficient	coefficient	NOUN
cana-1360	46	16	function	function	NOUN
cana-1360	46	17	.	.	PUNCT
cana-1360	47	1	subsequently	subsequently	ADV
cana-1360	47	2	,	,	PUNCT
cana-1360	47	3	the	the	DET
cana-1360	47	4	analytical	analytical	ADJ
cana-1360	47	5	probability	probability	NOUN
cana-1360	47	6	density	density	NOUN
cana-1360	47	7	function	function	NOUN
cana-1360	47	8	of	of	ADP
cana-1360	47	9	the	the	DET
cana-1360	47	10	rul	rul	NOUN
cana-1360	47	11	is	be	AUX
cana-1360	47	12	derived	derive	VERB
cana-1360	47	13	based	base	VERB
cana-1360	47	14	on	on	ADP
cana-1360	47	15	the	the	DET
cana-1360	47	16	first	first	ADJ
cana-1360	47	17	passage	passage	NOUN
cana-1360	47	18	time	time	NOUN
cana-1360	47	19	(	(	PUNCT
cana-1360	47	20	fpt	fpt	PROPN
cana-1360	47	21	)	)	PUNCT
cana-1360	47	22	.	.	PUNCT
cana-1360	48	1	the	the	DET
cana-1360	48	2	proposed	propose	VERB
cana-1360	48	3	method	method	NOUN
cana-1360	48	4	is	be	AUX
cana-1360	48	5	demonstrated	demonstrate	VERB
cana-1360	48	6	using	use	VERB
cana-1360	48	7	publicly	publicly	ADV
cana-1360	48	8	available	available	ADJ
cana-1360	48	9	lithium	lithium	NOUN
cana-1360	48	10	-	-	PUNCT
cana-1360	48	11	ion	ion	NOUN
cana-1360	48	12	battery	battery	NOUN
cana-1360	48	13	capacity	capacity	NOUN
cana-1360	48	14	degradation	degradation	NOUN
cana-1360	48	15	data	datum	NOUN
cana-1360	48	16	from	from	ADP
cana-1360	48	17	nasa.[2	nasa.[2	NOUN
cana-1360	48	18	]	]	PUNCT
cana-1360	48	19	remaining	remain	VERB
cana-1360	48	20	useful	useful	ADJ
cana-1360	48	21	life	life	NOUN
cana-1360	48	22	(	(	PUNCT
cana-1360	48	23	rul	rul	NOUN
cana-1360	48	24	)	)	PUNCT
cana-1360	48	25	estimation	estimation	NOUN
cana-1360	48	26	is	be	AUX
cana-1360	48	27	crucial	crucial	ADJ
cana-1360	48	28	for	for	ADP
cana-1360	48	29	predictive	predictive	ADJ
cana-1360	48	30	maintenance	maintenance	NOUN
cana-1360	48	31	.	.	PUNCT
cana-1360	49	1	due	due	ADP
cana-1360	49	2	to	to	ADP
cana-1360	49	3	the	the	DET
cana-1360	49	4	limited	limited	ADJ
cana-1360	49	5	availability	availability	NOUN
cana-1360	49	6	of	of	ADP
cana-1360	49	7	labeled	label	VERB
cana-1360	49	8	data	datum	NOUN
cana-1360	49	9	caused	cause	VERB
cana-1360	49	10	by	by	ADP
cana-1360	49	11	infrequent	infrequent	ADJ
cana-1360	49	12	failures	failure	NOUN
cana-1360	49	13	,	,	PUNCT
cana-1360	49	14	semisupervised	semisupervise	VERB
cana-1360	49	15	rul	rul	NOUN
cana-1360	49	16	estimation	estimation	NOUN
cana-1360	49	17	methods	method	NOUN
cana-1360	49	18	have	have	AUX
cana-1360	49	19	been	be	AUX
cana-1360	49	20	developed	develop	VERB
cana-1360	49	21	to	to	PART
cana-1360	49	22	leverage	leverage	NOUN
cana-1360	49	23	unlabeled	unlabele	VERB
cana-1360	49	24	data	datum	NOUN
cana-1360	49	25	collected	collect	VERB
cana-1360	49	26	during	during	ADP
cana-1360	49	27	maintenance	maintenance	NOUN
cana-1360	49	28	intervals	interval	NOUN
cana-1360	49	29	to	to	PART
cana-1360	49	30	enhance	enhance	VERB
cana-1360	49	31	performance	performance	NOUN
cana-1360	49	32	.	.	PUNCT
cana-1360	50	1	however	however	ADV
cana-1360	50	2	,	,	PUNCT
cana-1360	50	3	these	these	DET
cana-1360	50	4	methods	method	NOUN
cana-1360	50	5	often	often	ADV
cana-1360	50	6	fall	fall	VERB
cana-1360	50	7	short	short	ADJ
cana-1360	50	8	because	because	SCONJ
cana-1360	50	9	they	they	PRON
cana-1360	50	10	only	only	ADV
cana-1360	50	11	partially	partially	ADV
cana-1360	50	12	utilize	utilize	VERB
cana-1360	50	13	unlabeled	unlabeled	ADJ
cana-1360	50	14	data	datum	NOUN
cana-1360	50	15	during	during	ADP
cana-1360	50	16	training	training	NOUN
cana-1360	50	17	.	.	PUNCT
cana-1360	51	1	this	this	DET
cana-1360	51	2	article	article	NOUN
cana-1360	51	3	introduces	introduce	VERB
cana-1360	51	4	a	a	DET
cana-1360	51	5	novel	novel	NOUN
cana-1360	51	6	semisupervised	semisupervise	VERB
cana-1360	51	7	method	method	NOUN
cana-1360	51	8	for	for	ADP
cana-1360	51	9	rul	rul	NOUN
cana-1360	51	10	estimation	estimation	NOUN
cana-1360	51	11	,	,	PUNCT
cana-1360	51	12	where	where	SCONJ
cana-1360	51	13	both	both	CCONJ
cana-1360	51	14	the	the	DET
cana-1360	51	15	main	main	ADJ
cana-1360	51	16	and	and	CCONJ
cana-1360	51	17	auxiliary	auxiliary	ADJ
cana-1360	51	18	tasks	task	NOUN
cana-1360	51	19	focus	focus	VERB
cana-1360	51	20	on	on	ADP
cana-1360	51	21	estimating	estimate	VERB
cana-1360	51	22	relative	relative	ADJ
cana-1360	51	23	ruls	rul	NOUN
cana-1360	51	24	.	.	PUNCT
cana-1360	52	1	it	it	PRON
cana-1360	52	2	employs	employ	VERB
cana-1360	52	3	a	a	DET
cana-1360	52	4	geometric	geometric	ADJ
cana-1360	52	5	progression	progression	NOUN
cana-1360	52	6	to	to	PART
cana-1360	52	7	draw	draw	VERB
cana-1360	52	8	more	more	ADJ
cana-1360	52	9	unlabeled	unlabele	VERB
cana-1360	52	10	samples	sample	NOUN
cana-1360	52	11	from	from	ADP
cana-1360	52	12	shorter	short	ADJ
cana-1360	52	13	ruls	rul	NOUN
cana-1360	52	14	and	and	CCONJ
cana-1360	52	15	utilizes	utilize	VERB
cana-1360	52	16	different	different	ADJ
cana-1360	52	17	strategies	strategy	NOUN
cana-1360	52	18	for	for	ADP
cana-1360	52	19	pairing	pair	VERB
cana-1360	52	20	unlabeled	unlabeled	ADJ
cana-1360	52	21	samples	sample	NOUN
cana-1360	52	22	at	at	ADP
cana-1360	52	23	various	various	ADJ
cana-1360	52	24	training	training	NOUN
cana-1360	52	25	stages	stage	NOUN
cana-1360	52	26	.	.	PUNCT
cana-1360	53	1	the	the	DET
cana-1360	53	2	proposed	propose	VERB
cana-1360	53	3	method	method	NOUN
cana-1360	53	4	is	be	AUX
cana-1360	53	5	evaluated	evaluate	VERB
cana-1360	53	6	using	use	VERB
cana-1360	53	7	the	the	DET
cana-1360	53	8	nasa	nasa	PROPN
cana-1360	53	9	c	c	PROPN
cana-1360	53	10	-	-	PUNCT
cana-1360	53	11	mapss	maps	VERB
cana-1360	53	12	dataset	dataset	NOUN
cana-1360	53	13	and	and	CCONJ
cana-1360	53	14	the	the	DET
cana-1360	53	15	backblaze	backblaze	ADJ
cana-1360	53	16	hdd	hdd	NOUN
cana-1360	53	17	dataset	dataset	NOUN
cana-1360	53	18	.	.	PUNCT
cana-1360	54	1	results	result	NOUN
cana-1360	54	2	demonstrate	demonstrate	VERB
cana-1360	54	3	that	that	SCONJ
cana-1360	54	4	this	this	DET
cana-1360	54	5	approach	approach	NOUN
cana-1360	54	6	significantly	significantly	ADV
cana-1360	54	7	improves	improve	VERB
cana-1360	54	8	performance	performance	NOUN
cana-1360	54	9	with	with	ADP
cana-1360	54	10	limited	limited	ADJ
cana-1360	54	11	labeled	label	VERB
cana-1360	54	12	data	datum	NOUN
cana-1360	54	13	for	for	ADP
cana-1360	54	14	training	training	NOUN
cana-1360	54	15	.	.	PUNCT
cana-1360	55	1	[	[	X
cana-1360	55	2	3	3	X
cana-1360	55	3	]	]	PUNCT
cana-1360	55	4	as	as	ADP
cana-1360	55	5	a	a	DET
cana-1360	55	6	crucial	crucial	ADJ
cana-1360	55	7	energy	energy	NOUN
cana-1360	55	8	source	source	NOUN
cana-1360	55	9	,	,	PUNCT
cana-1360	55	10	the	the	DET
cana-1360	55	11	18650	18650	NUM
cana-1360	55	12	lithium	lithium	NOUN
cana-1360	55	13	-	-	PUNCT
cana-1360	55	14	ion	ion	NOUN
cana-1360	55	15	battery	battery	NOUN
cana-1360	55	16	is	be	AUX
cana-1360	55	17	widely	widely	ADV
cana-1360	55	18	used	use	VERB
cana-1360	55	19	in	in	ADP
cana-1360	55	20	electric	electric	ADJ
cana-1360	55	21	vehicles	vehicle	NOUN
cana-1360	55	22	.	.	PUNCT
cana-1360	56	1	predicting	predict	VERB
cana-1360	56	2	the	the	DET
cana-1360	56	3	remaining	remain	VERB
cana-1360	56	4	useful	useful	ADJ
cana-1360	56	5	life	life	NOUN
cana-1360	56	6	(	(	PUNCT
cana-1360	56	7	rul	rul	NOUN
cana-1360	56	8	)	)	PUNCT
cana-1360	56	9	of	of	ADP
cana-1360	56	10	these	these	DET
cana-1360	56	11	batteries	battery	NOUN
cana-1360	56	12	is	be	AUX
cana-1360	56	13	essential	essential	ADJ
cana-1360	56	14	for	for	ADP
cana-1360	56	15	the	the	DET
cana-1360	56	16	reliable	reliable	ADJ
cana-1360	56	17	operation	operation	NOUN
cana-1360	56	18	of	of	ADP
cana-1360	56	19	electric	electric	ADJ
cana-1360	56	20	vehicles	vehicle	NOUN
cana-1360	56	21	.	.	PUNCT
cana-1360	57	1	traditional	traditional	ADJ
cana-1360	57	2	methods	method	NOUN
cana-1360	57	3	often	often	ADV
cana-1360	57	4	struggle	struggle	VERB
cana-1360	57	5	with	with	ADP
cana-1360	57	6	adaptively	adaptively	ADV
cana-1360	57	7	estimating	estimate	VERB
cana-1360	57	8	model	model	NOUN
cana-1360	57	9	parameters	parameter	NOUN
cana-1360	57	10	and	and	CCONJ
cana-1360	57	11	detecting	detect	VERB
cana-1360	57	12	capacity	capacity	NOUN
cana-1360	57	13	regeneration	regeneration	NOUN
cana-1360	57	14	,	,	PUNCT
cana-1360	57	15	areas	area	NOUN
cana-1360	57	16	that	that	PRON
cana-1360	57	17	require	require	VERB
cana-1360	57	18	further	further	ADJ
cana-1360	57	19	investigation	investigation	NOUN
cana-1360	57	20	.	.	PUNCT
cana-1360	58	1	to	to	PART
cana-1360	58	2	address	address	VERB
cana-1360	58	3	these	these	DET
cana-1360	58	4	challenges	challenge	NOUN
cana-1360	58	5	,	,	PUNCT
cana-1360	58	6	this	this	DET
cana-1360	58	7	article	article	NOUN
cana-1360	58	8	introduces	introduce	VERB
cana-1360	58	9	a	a	DET
cana-1360	58	10	novel	novel	ADJ
cana-1360	58	11	approach	approach	NOUN
cana-1360	58	12	combining	combine	VERB
cana-1360	58	13	expectation	expectation	NOUN
cana-1360	58	14	maximization	maximization	NOUN
cana-1360	58	15	,	,	PUNCT
cana-1360	58	16	unscented	unscente	VERB
cana-1360	58	17	particle	particle	NOUN
cana-1360	58	18	filter	filter	NOUN
cana-1360	58	19	,	,	PUNCT
cana-1360	58	20	and	and	CCONJ
cana-1360	58	21	wilcoxon	wilcoxon	VERB
cana-1360	58	22	rank	rank	PROPN
cana-1360	58	23	sum	sum	PROPN
cana-1360	58	24	test	test	NOUN
cana-1360	58	25	(	(	PUNCT
cana-1360	58	26	em	em	NOUN
cana-1360	58	27	-	-	PUNCT
cana-1360	58	28	upf	upf	NOUN
cana-1360	58	29	-	-	PUNCT
cana-1360	58	30	w	w	NOUN
cana-1360	58	31	)	)	PUNCT
cana-1360	58	32	to	to	PART
cana-1360	58	33	adaptively	adaptively	ADV
cana-1360	58	34	estimate	estimate	VERB
cana-1360	58	35	noise	noise	NOUN
cana-1360	58	36	variables	variable	NOUN
cana-1360	58	37	in	in	ADP
cana-1360	58	38	the	the	DET
cana-1360	58	39	degradation	degradation	NOUN
cana-1360	58	40	model	model	NOUN
cana-1360	58	41	and	and	CCONJ
cana-1360	58	42	accurately	accurately	ADV
cana-1360	58	43	detect	detect	VERB
cana-1360	58	44	battery	battery	NOUN
cana-1360	58	45	capacity	capacity	NOUN
cana-1360	58	46	regeneration	regeneration	NOUN
cana-1360	58	47	.	.	PUNCT
cana-1360	59	1	specifically	specifically	ADV
cana-1360	59	2	,	,	PUNCT
cana-1360	59	3	for	for	ADP
cana-1360	59	4	scenarios	scenario	NOUN
cana-1360	59	5	involving	involve	VERB
cana-1360	59	6	small	small	ADJ
cana-1360	59	7	unlabeled	unlabele	VERB
cana-1360	59	8	samples	sample	NOUN
cana-1360	59	9	,	,	PUNCT
cana-1360	59	10	this	this	DET
cana-1360	59	11	article	article	NOUN
cana-1360	59	12	develops	develop	VERB
cana-1360	59	13	a	a	DET
cana-1360	59	14	dynamic	dynamic	ADJ
cana-1360	59	15	degradation	degradation	NOUN
cana-1360	59	16	model	model	NOUN
cana-1360	59	17	for	for	ADP
cana-1360	59	18	a	a	DET
cana-1360	59	19	single	single	ADJ
cana-1360	59	20	battery	battery	NOUN
cana-1360	59	21	using	use	VERB
cana-1360	59	22	the	the	DET
cana-1360	59	23	upf	upf	NOUN
cana-1360	59	24	framework	framework	NOUN
cana-1360	59	25	,	,	PUNCT
cana-1360	59	26	which	which	PRON
cana-1360	59	27	adaptively	adaptively	ADV
cana-1360	59	28	estimates	estimate	VERB
cana-1360	59	29	noise	noise	NOUN
cana-1360	59	30	variables	variable	NOUN
cana-1360	59	31	with	with	ADP
cana-1360	59	32	the	the	DET
cana-1360	59	33	help	help	NOUN
cana-1360	59	34	of	of	ADP
cana-1360	59	35	the	the	DET
cana-1360	59	36	em	em	PROPN
cana-1360	59	37	algorithm	algorithm	NOUN
cana-1360	59	38	.	.	PUNCT
cana-1360	60	1	additionally	additionally	ADV
cana-1360	60	2	,	,	PUNCT
cana-1360	60	3	the	the	DET
cana-1360	60	4	wilcoxon	wilcoxon	ADJ
cana-1360	60	5	rank	rank	PROPN
cana-1360	60	6	sum	sum	PROPN
cana-1360	60	7	test	test	NOUN
cana-1360	60	8	is	be	AUX
cana-1360	60	9	applied	apply	VERB
cana-1360	60	10	to	to	PART
cana-1360	60	11	determine	determine	VERB
cana-1360	60	12	the	the	DET
cana-1360	60	13	capacity	capacity	NOUN
cana-1360	60	14	recovery	recovery	NOUN
cana-1360	60	15	point	point	NOUN
cana-1360	60	16	,	,	PUNCT
cana-1360	60	17	thereby	thereby	ADV
cana-1360	60	18	reducing	reduce	VERB
cana-1360	60	19	prediction	prediction	NOUN
cana-1360	60	20	error	error	NOUN
cana-1360	60	21	.	.	PUNCT
cana-1360	61	1	the	the	DET
cana-1360	61	2	methodology	methodology	NOUN
cana-1360	61	3	is	be	AUX
cana-1360	61	4	demonstrated	demonstrate	VERB
cana-1360	61	5	using	use	VERB
cana-1360	61	6	a	a	DET
cana-1360	61	7	18650	18650	NUM
cana-1360	61	8	lithium	lithium	NOUN
cana-1360	61	9	-	-	PUNCT
cana-1360	61	10	ion	ion	NOUN
cana-1360	61	11	battery	battery	NOUN
cana-1360	61	12	dataset	dataset	NOUN
cana-1360	61	13	provided	provide	VERB
cana-1360	61	14	by	by	ADP
cana-1360	61	15	nasa	nasa	PROPN
cana-1360	61	16	.	.	PUNCT
cana-1360	62	1	experimental	experimental	ADJ
cana-1360	62	2	results	result	NOUN
cana-1360	62	3	indicate	indicate	VERB
cana-1360	62	4	that	that	SCONJ
cana-1360	62	5	the	the	DET
cana-1360	62	6	proposed	propose	VERB
cana-1360	62	7	em	em	NOUN
cana-1360	62	8	-	-	PUNCT
cana-1360	62	9	upf	upf	NOUN
cana-1360	62	10	-	-	PUNCT
cana-1360	62	11	w	w	NOUN
cana-1360	62	12	approach	approach	NOUN
cana-1360	62	13	outperforms	outperform	VERB
cana-1360	62	14	several	several	ADJ
cana-1360	62	15	existing	exist	VERB
cana-1360	62	16	data	data	NOUN
cana-1360	62	17	-	-	PUNCT
cana-1360	62	18	driven	drive	VERB
cana-1360	62	19	techniques	technique	NOUN
cana-1360	62	20	.	.	PUNCT
cana-1360	63	1	[	[	X
cana-1360	63	2	4	4	X
cana-1360	63	3	]	]	PUNCT
cana-1360	63	4	with	with	ADP
cana-1360	63	5	the	the	DET
cana-1360	63	6	widespread	widespread	ADJ
cana-1360	63	7	adoption	adoption	NOUN
cana-1360	63	8	of	of	ADP
cana-1360	63	9	deep	deep	ADJ
cana-1360	63	10	learning	learning	NOUN
cana-1360	63	11	in	in	ADP
cana-1360	63	12	condition	condition	NOUN
cana-1360	63	13	monitoring	monitoring	NOUN
cana-1360	63	14	system	system	NOUN
cana-1360	63	15	prognostics	prognostic	NOUN
cana-1360	63	16	,	,	PUNCT
cana-1360	63	17	its	its	PRON
cana-1360	63	18	lack	lack	NOUN
cana-1360	63	19	of	of	ADP
cana-1360	63	20	interpretability	interpretability	NOUN
cana-1360	63	21	has	have	AUX
cana-1360	63	22	always	always	ADV
cana-1360	63	23	been	be	AUX
cana-1360	63	24	a	a	DET
cana-1360	63	25	concern	concern	NOUN
cana-1360	63	26	.	.	PUNCT
cana-1360	64	1	this	this	DET
cana-1360	64	2	article	article	NOUN
cana-1360	64	3	introduces	introduce	VERB
cana-1360	64	4	an	an	DET
cana-1360	64	5	interpretable	interpretable	ADJ
cana-1360	64	6	method	method	NOUN
cana-1360	64	7	for	for	ADP
cana-1360	64	8	remaining	remain	VERB
cana-1360	64	9	useful	useful	ADJ
cana-1360	64	10	life	life	NOUN
cana-1360	64	11	(	(	PUNCT
cana-1360	64	12	rul	rul	NOUN
cana-1360	64	13	)	)	PUNCT
cana-1360	64	14	prediction	prediction	NOUN
cana-1360	64	15	.	.	PUNCT
cana-1360	65	1	the	the	DET
cana-1360	65	2	proposed	propose	VERB
cana-1360	65	3	approach	approach	NOUN
cana-1360	65	4	comprises	comprise	VERB
cana-1360	65	5	an	an	DET
cana-1360	65	6	augmenter	augmenter	NOUN
cana-1360	65	7	network	network	NOUN
cana-1360	65	8	based	base	VERB
cana-1360	65	9	on	on	ADP
cana-1360	65	10	ordinary	ordinary	ADJ
cana-1360	65	11	differential	differential	ADJ
cana-1360	65	12	equations	equation	NOUN
cana-1360	65	13	and	and	CCONJ
cana-1360	65	14	an	an	DET
cana-1360	65	15	estimator	estimator	NOUN
cana-1360	65	16	network	network	NOUN
cana-1360	65	17	employing	employ	VERB
cana-1360	65	18	feature	feature	NOUN
cana-1360	65	19	-	-	PUNCT
cana-1360	65	20	temporal	temporal	ADJ
cana-1360	65	21	attention	attention	NOUN
cana-1360	65	22	.	.	PUNCT
cana-1360	66	1	the	the	DET
cana-1360	66	2	augmenter	augmenter	PROPN
cana-1360	66	3	network	network	NOUN
cana-1360	66	4	is	be	AUX
cana-1360	66	5	designed	design	VERB
cana-1360	66	6	to	to	PART
cana-1360	66	7	mitigate	mitigate	VERB
cana-1360	66	8	additive	additive	ADJ
cana-1360	66	9	noise	noise	NOUN
cana-1360	66	10	in	in	ADP
cana-1360	66	11	the	the	DET
cana-1360	66	12	original	original	ADJ
cana-1360	66	13	data	datum	NOUN
cana-1360	66	14	and	and	CCONJ
cana-1360	66	15	to	to	ADP
cana-1360	66	16	communications	communication	NOUN
cana-1360	66	17	on	on	ADP
cana-1360	66	18	applied	apply	VERB
cana-1360	66	19	nonlinear	nonlinear	ADJ
cana-1360	66	20	analysis	analysis	NOUN
cana-1360	66	21	issn	issn	NOUN
cana-1360	66	22	:	:	PUNCT
cana-1360	66	23	1074	1074	NUM
cana-1360	66	24	-	-	PUNCT
cana-1360	66	25	133x	133x	NUM
cana-1360	66	26	vol	vol	NOUN
cana-1360	66	27	31	31	NUM
cana-1360	66	28	no	no	NOUN
cana-1360	66	29	.	.	PUNCT
cana-1360	67	1	6s	6s	NUM
cana-1360	67	2	(	(	PUNCT
cana-1360	67	3	2024	2024	NUM
cana-1360	67	4	)	)	PUNCT
cana-1360	67	5	732	732	NUM
cana-1360	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	67	7	infer	infer	VERB
cana-1360	67	8	unobservable	unobservable	ADJ
cana-1360	67	9	health	health	NOUN
cana-1360	67	10	-	-	PUNCT
cana-1360	67	11	related	relate	VERB
cana-1360	67	12	variables	variable	NOUN
cana-1360	67	13	using	use	VERB
cana-1360	67	14	embedded	embed	VERB
cana-1360	67	15	formulas	formula	NOUN
cana-1360	67	16	.	.	PUNCT
cana-1360	68	1	following	follow	VERB
cana-1360	68	2	this	this	PRON
cana-1360	68	3	,	,	PUNCT
cana-1360	68	4	an	an	DET
cana-1360	68	5	uncertaintyaware	uncertaintyaware	NOUN
cana-1360	68	6	estimator	estimator	NOUN
cana-1360	68	7	is	be	AUX
cana-1360	68	8	employed	employ	VERB
cana-1360	68	9	to	to	PART
cana-1360	68	10	predict	predict	VERB
cana-1360	68	11	rul	rul	NOUN
cana-1360	68	12	through	through	ADP
cana-1360	68	13	a	a	DET
cana-1360	68	14	quantile	quantile	ADJ
cana-1360	68	15	regression	regression	NOUN
cana-1360	68	16	module	module	NOUN
cana-1360	68	17	,	,	PUNCT
cana-1360	68	18	simultaneously	simultaneously	ADV
cana-1360	68	19	identifying	identify	VERB
cana-1360	68	20	key	key	ADJ
cana-1360	68	21	features	feature	NOUN
cana-1360	68	22	and	and	CCONJ
cana-1360	68	23	temporal	temporal	ADJ
cana-1360	68	24	dependencies	dependency	NOUN
cana-1360	68	25	via	via	ADP
cana-1360	68	26	attention	attention	NOUN
cana-1360	68	27	mechanisms	mechanism	NOUN
cana-1360	68	28	.	.	PUNCT
cana-1360	69	1	extensive	extensive	ADJ
cana-1360	69	2	evaluations	evaluation	NOUN
cana-1360	69	3	are	be	AUX
cana-1360	69	4	conducted	conduct	VERB
cana-1360	69	5	using	use	VERB
cana-1360	69	6	the	the	DET
cana-1360	69	7	n	n	ADV
cana-1360	69	8	-	-	PUNCT
cana-1360	69	9	cmapss	cmaps	VERB
cana-1360	69	10	aero	aero	PROPN
cana-1360	69	11	engine	engine	NOUN
cana-1360	69	12	dataset	dataset	NOUN
cana-1360	69	13	.	.	PUNCT
cana-1360	69	14	.	.	PUNCT
cana-1360	70	1	our	our	PRON
cana-1360	70	2	method	method	NOUN
cana-1360	70	3	surpasses	surpass	VERB
cana-1360	70	4	baseline	baseline	VERB
cana-1360	70	5	approaches	approach	NOUN
cana-1360	70	6	,	,	PUNCT
cana-1360	70	7	achieving	achieve	VERB
cana-1360	70	8	a	a	DET
cana-1360	70	9	14	14	NUM
cana-1360	70	10	%	%	NOUN
cana-1360	70	11	improvement	improvement	NOUN
cana-1360	70	12	in	in	ADP
cana-1360	70	13	the	the	DET
cana-1360	70	14	nasa	nasa	PROPN
cana-1360	70	15	scoring	scoring	NOUN
cana-1360	70	16	metric	metric	ADJ
cana-1360	70	17	and	and	CCONJ
cana-1360	70	18	a	a	DET
cana-1360	70	19	7	7	NUM
cana-1360	70	20	%	%	NOUN
cana-1360	70	21	reduction	reduction	NOUN
cana-1360	70	22	in	in	ADP
cana-1360	70	23	root	root	NOUN
cana-1360	70	24	-	-	PUNCT
cana-1360	70	25	mean	mean	ADJ
cana-1360	70	26	-	-	PUNCT
cana-1360	70	27	square	square	NOUN
cana-1360	70	28	error	error	NOUN
cana-1360	70	29	.	.	PUNCT
cana-1360	71	1	furthermore	furthermore	ADV
cana-1360	71	2	,	,	PUNCT
cana-1360	71	3	we	we	PRON
cana-1360	71	4	delve	delve	VERB
cana-1360	71	5	into	into	ADP
cana-1360	71	6	the	the	DET
cana-1360	71	7	interpretability	interpretability	NOUN
cana-1360	71	8	of	of	ADP
cana-1360	71	9	our	our	PRON
cana-1360	71	10	framework	framework	NOUN
cana-1360	71	11	.	.	PUNCT
cana-1360	72	1	the	the	DET
cana-1360	72	2	proposed	propose	VERB
cana-1360	72	3	method	method	NOUN
cana-1360	72	4	can	can	AUX
cana-1360	72	5	infer	infer	VERB
cana-1360	72	6	physical	physical	ADJ
cana-1360	72	7	constraints	constraint	NOUN
cana-1360	72	8	,	,	PUNCT
cana-1360	72	9	detect	detect	VERB
cana-1360	72	10	anomalous	anomalous	ADJ
cana-1360	72	11	subsystems	subsystem	NOUN
cana-1360	72	12	,	,	PUNCT
cana-1360	72	13	and	and	CCONJ
cana-1360	72	14	pinpoint	pinpoint	VERB
cana-1360	72	15	critical	critical	ADJ
cana-1360	72	16	flight	flight	NOUN
cana-1360	72	17	stages	stage	NOUN
cana-1360	72	18	even	even	ADV
cana-1360	72	19	with	with	ADP
cana-1360	72	20	limited	limited	ADJ
cana-1360	72	21	prior	prior	ADJ
cana-1360	72	22	knowledge	knowledge	NOUN
cana-1360	72	23	.	.	PUNCT
cana-1360	73	1	[	[	X
cana-1360	73	2	5	5	NUM
cana-1360	73	3	]	]	PUNCT
cana-1360	73	4	lithium	lithium	NOUN
cana-1360	73	5	-	-	PUNCT
cana-1360	73	6	ion	ion	NOUN
cana-1360	73	7	batteries	battery	NOUN
cana-1360	73	8	are	be	AUX
cana-1360	73	9	ubiquitous	ubiquitous	ADJ
cana-1360	73	10	today	today	NOUN
cana-1360	73	11	,	,	PUNCT
cana-1360	73	12	powering	power	VERB
cana-1360	73	13	everything	everything	PRON
cana-1360	73	14	from	from	ADP
cana-1360	73	15	small	small	ADJ
cana-1360	73	16	electronic	electronic	ADJ
cana-1360	73	17	devices	device	NOUN
cana-1360	73	18	to	to	ADP
cana-1360	73	19	large	large	ADJ
cana-1360	73	20	electric	electric	ADJ
cana-1360	73	21	vehicles	vehicle	NOUN
cana-1360	73	22	.	.	PUNCT
cana-1360	74	1	consequently	consequently	ADV
cana-1360	74	2	,	,	PUNCT
cana-1360	74	3	there	there	PRON
cana-1360	74	4	's	be	VERB
cana-1360	74	5	a	a	DET
cana-1360	74	6	growing	grow	VERB
cana-1360	74	7	focus	focus	NOUN
cana-1360	74	8	on	on	ADP
cana-1360	74	9	assessing	assess	VERB
cana-1360	74	10	the	the	DET
cana-1360	74	11	remaining	remain	VERB
cana-1360	74	12	useful	useful	ADJ
cana-1360	74	13	life	life	NOUN
cana-1360	74	14	(	(	PUNCT
cana-1360	74	15	rul	rul	NOUN
cana-1360	74	16	)	)	PUNCT
cana-1360	74	17	of	of	ADP
cana-1360	74	18	lithium	lithium	NOUN
cana-1360	74	19	-	-	PUNCT
cana-1360	74	20	ion	ion	NOUN
cana-1360	74	21	batteries	battery	NOUN
cana-1360	74	22	to	to	PART
cana-1360	74	23	predict	predict	VERB
cana-1360	74	24	failures	failure	NOUN
cana-1360	74	25	and	and	CCONJ
cana-1360	74	26	ensure	ensure	VERB
cana-1360	74	27	safe	safe	ADJ
cana-1360	74	28	operation	operation	NOUN
cana-1360	74	29	.	.	PUNCT
cana-1360	75	1	however	however	ADV
cana-1360	75	2	,	,	PUNCT
cana-1360	75	3	most	most	ADJ
cana-1360	75	4	battery	battery	NOUN
cana-1360	75	5	rul	rul	NOUN
cana-1360	75	6	research	research	NOUN
cana-1360	75	7	neglects	neglect	VERB
cana-1360	75	8	testing	testing	NOUN
cana-1360	75	9	models	model	NOUN
cana-1360	75	10	for	for	ADP
cana-1360	75	11	execution	execution	NOUN
cana-1360	75	12	on	on	ADP
cana-1360	75	13	low	low	ADJ
cana-1360	75	14	-	-	PUNCT
cana-1360	75	15	power	power	NOUN
cana-1360	75	16	edge	edge	NOUN
cana-1360	75	17	nodes	node	NOUN
cana-1360	75	18	,	,	PUNCT
cana-1360	75	19	the	the	DET
cana-1360	75	20	ideal	ideal	ADJ
cana-1360	75	21	target	target	NOUN
cana-1360	75	22	devices	device	NOUN
cana-1360	75	23	.	.	PUNCT
cana-1360	76	1	this	this	DET
cana-1360	76	2	paper	paper	NOUN
cana-1360	76	3	proposes	propose	VERB
cana-1360	76	4	an	an	DET
cana-1360	76	5	edge	edge	NOUN
cana-1360	76	6	-	-	PUNCT
cana-1360	76	7	based	base	VERB
cana-1360	76	8	rul	rul	NOUN
cana-1360	76	9	estimation	estimation	NOUN
cana-1360	76	10	(	(	PUNCT
cana-1360	76	11	ebrule	ebrule	NOUN
cana-1360	76	12	)	)	PUNCT
cana-1360	76	13	approach	approach	NOUN
cana-1360	76	14	leveraging	leverage	VERB
cana-1360	76	15	deep	deep	ADJ
cana-1360	76	16	learning	learning	NOUN
cana-1360	76	17	.	.	PUNCT
cana-1360	77	1	ebrule	ebrule	PROPN
cana-1360	77	2	enables	enable	VERB
cana-1360	77	3	battery	battery	NOUN
cana-1360	77	4	rul	rul	NOUN
cana-1360	77	5	prediction	prediction	NOUN
cana-1360	77	6	directly	directly	ADV
cana-1360	77	7	on	on	ADP
cana-1360	77	8	an	an	DET
cana-1360	77	9	edge	edge	NOUN
cana-1360	77	10	device	device	NOUN
cana-1360	77	11	.	.	PUNCT
cana-1360	78	1	four	four	NUM
cana-1360	78	2	deep	deep	ADJ
cana-1360	78	3	neural	neural	ADJ
cana-1360	78	4	network	network	NOUN
cana-1360	78	5	architectures	architecture	NOUN
cana-1360	78	6	were	be	AUX
cana-1360	78	7	trained	train	VERB
cana-1360	78	8	on	on	ADP
cana-1360	78	9	two	two	NUM
cana-1360	78	10	datasets	dataset	NOUN
cana-1360	78	11	,	,	PUNCT
cana-1360	78	12	nasa	nasa	PROPN
cana-1360	78	13	and	and	CCONJ
cana-1360	78	14	calce	calce	ADJ
cana-1360	78	15	,	,	PUNCT
cana-1360	78	16	using	use	VERB
cana-1360	78	17	a	a	DET
cana-1360	78	18	gpu	gpu	NOUN
cana-1360	78	19	.	.	PROPN
cana-1360	78	20	subsequently	subsequently	ADV
cana-1360	78	21	,	,	PUNCT
cana-1360	78	22	inference	inference	NOUN
cana-1360	78	23	was	be	AUX
cana-1360	78	24	performed	perform	VERB
cana-1360	78	25	on	on	ADP
cana-1360	78	26	a	a	DET
cana-1360	78	27	raspberry	raspberry	NOUN
cana-1360	78	28	pi	pi	NOUN
cana-1360	78	29	single	single	ADJ
cana-1360	78	30	-	-	PUNCT
cana-1360	78	31	board	board	NOUN
cana-1360	78	32	computer	computer	NOUN
cana-1360	78	33	.	.	PUNCT
cana-1360	79	1	our	our	PRON
cana-1360	79	2	experiments	experiment	NOUN
cana-1360	79	3	demonstrate	demonstrate	VERB
cana-1360	79	4	that	that	SCONJ
cana-1360	79	5	the	the	DET
cana-1360	79	6	models	model	NOUN
cana-1360	79	7	consistently	consistently	ADV
cana-1360	79	8	delivered	deliver	VERB
cana-1360	79	9	predictions	prediction	NOUN
cana-1360	79	10	with	with	ADP
cana-1360	79	11	an	an	DET
cana-1360	79	12	accuracy	accuracy	NOUN
cana-1360	79	13	exceeding	exceed	VERB
cana-1360	79	14	89	89	NUM
cana-1360	79	15	%	%	NOUN
cana-1360	79	16	within	within	ADP
cana-1360	79	17	seconds	second	NOUN
cana-1360	79	18	.	.	PUNCT
cana-1360	80	1	furthermore	furthermore	ADV
cana-1360	80	2	,	,	PUNCT
cana-1360	80	3	our	our	PRON
cana-1360	80	4	approach	approach	NOUN
cana-1360	80	5	achieved	achieve	VERB
cana-1360	80	6	a	a	DET
cana-1360	80	7	rmse	rmse	NOUN
cana-1360	80	8	of	of	ADP
cana-1360	80	9	0.02	0.02	NUM
cana-1360	80	10	-	-	SYM
cana-1360	80	11	6.81	6.81	NUM
cana-1360	80	12	%	%	NOUN
cana-1360	80	13	and	and	CCONJ
cana-1360	80	14	a	a	DET
cana-1360	80	15	mae	mae	PROPN
cana-1360	80	16	of	of	ADP
cana-1360	80	17	0.8	0.8	NUM
cana-1360	80	18	-	-	SYM
cana-1360	80	19	5.67	5.67	NUM
cana-1360	80	20	%	%	NOUN
cana-1360	80	21	.	.	PUNCT
cana-1360	81	1	notably	notably	ADV
cana-1360	81	2	,	,	PUNCT
cana-1360	81	3	the	the	DET
cana-1360	81	4	detransformer	detransformer	PROPN
cana-1360	81	5	model	model	NOUN
cana-1360	81	6	significantly	significantly	ADV
cana-1360	81	7	outperformed	outperform	VERB
cana-1360	81	8	the	the	DET
cana-1360	81	9	baseline	baseline	ADJ
cana-1360	81	10	detransformer	detransformer	NOUN
cana-1360	81	11	method	method	NOUN
cana-1360	81	12	,	,	PUNCT
cana-1360	81	13	reducing	reduce	VERB
cana-1360	81	14	the	the	DET
cana-1360	81	15	mae	mae	PROPN
cana-1360	81	16	and	and	CCONJ
cana-1360	81	17	rmse	rmse	ADJ
cana-1360	81	18	by	by	ADP
cana-1360	81	19	up	up	ADP
cana-1360	81	20	to	to	PART
cana-1360	81	21	71.95	71.95	NUM
cana-1360	81	22	%	%	NOUN
cana-1360	81	23	and	and	CCONJ
cana-1360	81	24	77.31	77.31	NUM
cana-1360	81	25	%	%	NOUN
cana-1360	81	26	respectively	respectively	ADV
cana-1360	81	27	.	.	PUNCT
cana-1360	82	1	similarly	similarly	ADV
cana-1360	82	2	,	,	PUNCT
cana-1360	82	3	the	the	DET
cana-1360	82	4	rnn	rnn	NOUN
cana-1360	82	5	model	model	NOUN
cana-1360	82	6	achieved	achieve	VERB
cana-1360	82	7	impressive	impressive	ADJ
cana-1360	82	8	reductions	reduction	NOUN
cana-1360	82	9	in	in	ADP
cana-1360	82	10	mae	mae	PROPN
cana-1360	82	11	and	and	CCONJ
cana-1360	82	12	rmse	rmse	ADJ
cana-1360	82	13	by	by	ADP
cana-1360	82	14	78.89	78.89	NUM
cana-1360	82	15	%	%	NOUN
cana-1360	82	16	and	and	CCONJ
cana-1360	82	17	90.77	90.77	NUM
cana-1360	82	18	%	%	NOUN
cana-1360	82	19	compared	compare	VERB
cana-1360	82	20	to	to	ADP
cana-1360	82	21	the	the	DET
cana-1360	82	22	baseline	baseline	PROPN
cana-1360	82	23	rnn	rnn	VERB
cana-1360	82	24	approach.[6	approach.[6	PRON
cana-1360	82	25	]	]	PUNCT
cana-1360	82	26	maintaining	maintain	VERB
cana-1360	82	27	an	an	DET
cana-1360	82	28	accurate	accurate	ADJ
cana-1360	82	29	estimate	estimate	NOUN
cana-1360	82	30	of	of	ADP
cana-1360	82	31	the	the	DET
cana-1360	82	32	satellite	satellite	NOUN
cana-1360	82	33	's	's	PART
cana-1360	82	34	attitude	attitude	NOUN
cana-1360	82	35	is	be	AUX
cana-1360	82	36	essential	essential	ADJ
cana-1360	82	37	for	for	ADP
cana-1360	82	38	pointing	point	VERB
cana-1360	82	39	performance	performance	NOUN
cana-1360	82	40	to	to	PART
cana-1360	82	41	ensure	ensure	VERB
cana-1360	82	42	the	the	DET
cana-1360	82	43	quality	quality	NOUN
cana-1360	82	44	of	of	ADP
cana-1360	82	45	products	product	NOUN
cana-1360	82	46	such	such	ADJ
cana-1360	82	47	as	as	ADP
cana-1360	82	48	spatial	spatial	ADJ
cana-1360	82	49	images	image	NOUN
cana-1360	82	50	.	.	PUNCT
cana-1360	83	1	nevertheless	nevertheless	ADV
cana-1360	83	2	,	,	PUNCT
cana-1360	83	3	if	if	SCONJ
cana-1360	83	4	sensors	sensor	NOUN
cana-1360	83	5	and	and	CCONJ
cana-1360	83	6	actuators	actuator	NOUN
cana-1360	83	7	are	be	AUX
cana-1360	83	8	affected	affect	VERB
cana-1360	83	9	by	by	ADP
cana-1360	83	10	the	the	DET
cana-1360	83	11	severe	severe	ADJ
cana-1360	83	12	space	space	NOUN
cana-1360	83	13	environment	environment	NOUN
cana-1360	83	14	,	,	PUNCT
cana-1360	83	15	the	the	DET
cana-1360	83	16	attitude	attitude	NOUN
cana-1360	83	17	control	control	NOUN
cana-1360	83	18	systems	system	NOUN
cana-1360	83	19	may	may	AUX
cana-1360	83	20	be	be	AUX
cana-1360	83	21	disrupted	disrupt	VERB
cana-1360	83	22	.	.	PUNCT
cana-1360	84	1	the	the	DET
cana-1360	84	2	south	south	PROPN
cana-1360	84	3	atlantic	atlantic	PROPN
cana-1360	84	4	anomaly	anomaly	PROPN
cana-1360	84	5	(	(	PUNCT
cana-1360	84	6	saa	saa	PROPN
cana-1360	84	7	)	)	PUNCT
cana-1360	84	8	is	be	AUX
cana-1360	84	9	a	a	DET
cana-1360	84	10	well	well	ADV
cana-1360	84	11	-	-	PUNCT
cana-1360	84	12	known	know	VERB
cana-1360	84	13	disturbance	disturbance	NOUN
cana-1360	84	14	in	in	ADP
cana-1360	84	15	space	space	NOUN
cana-1360	84	16	whose	whose	DET
cana-1360	84	17	effects	effect	NOUN
cana-1360	84	18	are	be	AUX
cana-1360	84	19	consistently	consistently	ADV
cana-1360	84	20	monitored	monitor	VERB
cana-1360	84	21	by	by	ADP
cana-1360	84	22	space	space	NOUN
cana-1360	84	23	agencies	agency	NOUN
cana-1360	84	24	such	such	ADJ
cana-1360	84	25	as	as	ADP
cana-1360	84	26	nasa	nasa	PROPN
cana-1360	84	27	.	.	PUNCT
cana-1360	85	1	this	this	DET
cana-1360	85	2	work	work	NOUN
cana-1360	85	3	provides	provide	VERB
cana-1360	85	4	a	a	DET
cana-1360	85	5	straightforward	straightforward	ADJ
cana-1360	85	6	yet	yet	CCONJ
cana-1360	85	7	robust	robust	ADJ
cana-1360	85	8	estimation	estimation	NOUN
cana-1360	85	9	strategy	strategy	NOUN
cana-1360	85	10	that	that	PRON
cana-1360	85	11	enhances	enhance	VERB
cana-1360	85	12	the	the	DET
cana-1360	85	13	attitude	attitude	NOUN
cana-1360	85	14	determination	determination	NOUN
cana-1360	85	15	system	system	NOUN
cana-1360	85	16	's	's	PART
cana-1360	85	17	(	(	PUNCT
cana-1360	85	18	ads	ad	NOUN
cana-1360	85	19	)	)	PUNCT
cana-1360	85	20	performance	performance	NOUN
cana-1360	85	21	when	when	SCONJ
cana-1360	85	22	sensor	sensor	NOUN
cana-1360	85	23	-	-	PUNCT
cana-1360	85	24	filter	filter	NOUN
cana-1360	85	25	communication	communication	NOUN
cana-1360	85	26	loss	loss	NOUN
cana-1360	85	27	occurs	occur	VERB
cana-1360	85	28	due	due	ADJ
cana-1360	85	29	to	to	ADP
cana-1360	85	30	the	the	DET
cana-1360	85	31	saa	saa	NOUN
cana-1360	85	32	.	.	PUNCT
cana-1360	86	1	our	our	PRON
cana-1360	86	2	method	method	NOUN
cana-1360	86	3	utilizes	utilize	VERB
cana-1360	86	4	the	the	DET
cana-1360	86	5	statistical	statistical	ADJ
cana-1360	86	6	properties	property	NOUN
cana-1360	86	7	of	of	ADP
cana-1360	86	8	saa	saa	PROPN
cana-1360	86	9	to	to	PART
cana-1360	86	10	adapt	adapt	VERB
cana-1360	86	11	the	the	DET
cana-1360	86	12	attitude	attitude	NOUN
cana-1360	86	13	estimator	estimator	NOUN
cana-1360	86	14	's	's	PART
cana-1360	86	15	gain	gain	NOUN
cana-1360	86	16	following	follow	VERB
cana-1360	86	17	measurement	measurement	NOUN
cana-1360	86	18	restoration	restoration	NOUN
cana-1360	86	19	.	.	PUNCT
cana-1360	87	1	this	this	DET
cana-1360	87	2	technique	technique	NOUN
cana-1360	87	3	helps	help	VERB
cana-1360	87	4	reduce	reduce	VERB
cana-1360	87	5	the	the	DET
cana-1360	87	6	attitude	attitude	NOUN
cana-1360	87	7	innovation	innovation	NOUN
cana-1360	87	8	commonly	commonly	ADV
cana-1360	87	9	regarded	regard	VERB
cana-1360	87	10	as	as	ADP
cana-1360	87	11	an	an	DET
cana-1360	87	12	indicator	indicator	NOUN
cana-1360	87	13	of	of	ADP
cana-1360	87	14	ads	ad	NOUN
cana-1360	87	15	health	health	NOUN
cana-1360	87	16	.	.	PUNCT
cana-1360	88	1	we	we	PRON
cana-1360	88	2	used	use	VERB
cana-1360	88	3	data	datum	NOUN
cana-1360	88	4	collected	collect	VERB
cana-1360	88	5	by	by	ADP
cana-1360	88	6	attitude	attitude	NOUN
cana-1360	88	7	sensors	sensor	NOUN
cana-1360	88	8	on	on	ADP
cana-1360	88	9	an	an	DET
cana-1360	88	10	actual	actual	ADJ
cana-1360	88	11	satellite	satellite	NOUN
cana-1360	88	12	in	in	ADP
cana-1360	88	13	low	low	ADJ
cana-1360	88	14	earth	earth	NOUN
cana-1360	88	15	orbit	orbit	NOUN
cana-1360	88	16	to	to	PART
cana-1360	88	17	validate	validate	VERB
cana-1360	88	18	our	our	PRON
cana-1360	88	19	method	method	NOUN
cana-1360	88	20	.	.	PUNCT
cana-1360	89	1	[	[	X
cana-1360	89	2	7	7	X
cana-1360	89	3	]	]	PUNCT
cana-1360	89	4	while	while	SCONJ
cana-1360	89	5	deep	deep	ADJ
cana-1360	89	6	neural	neural	ADJ
cana-1360	89	7	network	network	NOUN
cana-1360	89	8	(	(	PUNCT
cana-1360	89	9	dnn	dnn	PROPN
cana-1360	89	10	)	)	PUNCT
cana-1360	89	11	architectures	architecture	NOUN
cana-1360	89	12	have	have	AUX
cana-1360	89	13	been	be	AUX
cana-1360	89	14	widely	widely	ADV
cana-1360	89	15	explored	explore	VERB
cana-1360	89	16	for	for	ADP
cana-1360	89	17	assessing	assess	VERB
cana-1360	89	18	the	the	DET
cana-1360	89	19	state	state	NOUN
cana-1360	89	20	of	of	ADP
cana-1360	89	21	health	health	NOUN
cana-1360	89	22	(	(	PUNCT
cana-1360	89	23	soh	soh	NOUN
cana-1360	89	24	)	)	PUNCT
cana-1360	89	25	of	of	ADP
cana-1360	89	26	lithium	lithium	NOUN
cana-1360	89	27	-	-	PUNCT
cana-1360	89	28	ion	ion	NOUN
cana-1360	89	29	batteries	battery	NOUN
cana-1360	89	30	(	(	PUNCT
cana-1360	89	31	libs	lib	NOUN
cana-1360	89	32	)	)	PUNCT
cana-1360	89	33	,	,	PUNCT
cana-1360	89	34	the	the	DET
cana-1360	89	35	influence	influence	NOUN
cana-1360	89	36	of	of	ADP
cana-1360	89	37	hyperparameters	hyperparameter	NOUN
cana-1360	89	38	on	on	ADP
cana-1360	89	39	their	their	PRON
cana-1360	89	40	performance	performance	NOUN
cana-1360	89	41	remains	remain	VERB
cana-1360	89	42	under	under	ADV
cana-1360	89	43	-	-	PUNCT
cana-1360	89	44	investigated	investigate	VERB
cana-1360	89	45	.	.	PUNCT
cana-1360	90	1	this	this	DET
cana-1360	90	2	lack	lack	NOUN
cana-1360	90	3	of	of	ADP
cana-1360	90	4	understanding	understanding	NOUN
cana-1360	90	5	makes	make	VERB
cana-1360	90	6	it	it	PRON
cana-1360	90	7	challenging	challenging	ADJ
cana-1360	90	8	to	to	PART
cana-1360	90	9	evaluate	evaluate	VERB
cana-1360	90	10	the	the	DET
cana-1360	90	11	suitability	suitability	NOUN
cana-1360	90	12	of	of	ADP
cana-1360	90	13	different	different	ADJ
cana-1360	90	14	dnn	dnn	PROPN
cana-1360	90	15	architectures	architecture	NOUN
cana-1360	90	16	and	and	CCONJ
cana-1360	90	17	to	to	PART
cana-1360	90	18	effectively	effectively	ADV
cana-1360	90	19	build	build	VERB
cana-1360	90	20	upon	upon	SCONJ
cana-1360	90	21	or	or	CCONJ
cana-1360	90	22	modify	modify	VERB
cana-1360	90	23	previous	previous	ADJ
cana-1360	90	24	research	research	NOUN
cana-1360	90	25	.	.	PUNCT
cana-1360	91	1	this	this	DET
cana-1360	91	2	study	study	NOUN
cana-1360	91	3	delves	delve	VERB
cana-1360	91	4	into	into	ADP
cana-1360	91	5	the	the	DET
cana-1360	91	6	impact	impact	NOUN
cana-1360	91	7	of	of	ADP
cana-1360	91	8	hyperparameters	hyperparameter	NOUN
cana-1360	91	9	on	on	ADP
cana-1360	91	10	the	the	DET
cana-1360	91	11	performance	performance	NOUN
cana-1360	91	12	of	of	ADP
cana-1360	91	13	feedforward	feedforward	ADJ
cana-1360	91	14	neural	neural	ADJ
cana-1360	91	15	networks	network	NOUN
cana-1360	91	16	for	for	ADP
cana-1360	91	17	lib	lib	PROPN
cana-1360	91	18	soh	soh	PROPN
cana-1360	91	19	estimation	estimation	PROPN
cana-1360	91	20	.	.	PUNCT
cana-1360	92	1	specificallythis	specificallythis	PROPN
cana-1360	92	2	study	study	NOUN
cana-1360	92	3	proposes	propose	VERB
cana-1360	92	4	two	two	NUM
cana-1360	92	5	feed	feed	NOUN
cana-1360	92	6	-	-	PUNCT
cana-1360	92	7	forward	forward	NOUN
cana-1360	92	8	neural	neural	ADJ
cana-1360	92	9	networks	network	NOUN
cana-1360	92	10	:	:	PUNCT
cana-1360	92	11	an	an	DET
cana-1360	92	12	accuracy	accuracy	NOUN
cana-1360	92	13	model	model	NOUN
cana-1360	92	14	specifically	specifically	ADV
cana-1360	92	15	optimized	optimize	VERB
cana-1360	92	16	for	for	ADP
cana-1360	92	17	highly	highly	ADV
cana-1360	92	18	accurate	accurate	ADJ
cana-1360	92	19	soh	soh	NOUN
cana-1360	92	20	prediction	prediction	NOUN
cana-1360	92	21	of	of	ADP
cana-1360	92	22	individual	individual	ADJ
cana-1360	92	23	cells	cell	NOUN
cana-1360	92	24	,	,	PUNCT
cana-1360	92	25	and	and	CCONJ
cana-1360	92	26	a	a	DET
cana-1360	92	27	generalized	generalized	ADJ
cana-1360	92	28	model	model	NOUN
cana-1360	92	29	optimized	optimize	VERB
cana-1360	92	30	for	for	ADP
cana-1360	92	31	predicting	predict	VERB
cana-1360	92	32	soh	soh	PROPN
cana-1360	92	33	across	across	ADP
cana-1360	92	34	various	various	ADJ
cana-1360	92	35	cells	cell	NOUN
cana-1360	92	36	.	.	PUNCT
cana-1360	93	1	to	to	PART
cana-1360	93	2	illustrate	illustrate	VERB
cana-1360	93	3	the	the	DET
cana-1360	93	4	effects	effect	NOUN
cana-1360	93	5	of	of	ADP
cana-1360	93	6	hyperparameters	hyperparameter	NOUN
cana-1360	93	7	on	on	ADP
cana-1360	93	8	these	these	DET
cana-1360	93	9	models	model	NOUN
cana-1360	93	10	,	,	PUNCT
cana-1360	93	11	we	we	PRON
cana-1360	93	12	leverage	leverage	VERB
cana-1360	93	13	the	the	DET
cana-1360	93	14	national	national	ADJ
cana-1360	93	15	aeronautics	aeronautics	PROPN
cana-1360	93	16	and	and	CCONJ
cana-1360	93	17	space	space	NOUN
cana-1360	93	18	administration	administration	NOUN
cana-1360	93	19	communications	communication	NOUN
cana-1360	93	20	on	on	ADP
cana-1360	93	21	applied	apply	VERB
cana-1360	93	22	nonlinear	nonlinear	ADJ
cana-1360	93	23	analysis	analysis	NOUN
cana-1360	93	24	issn	issn	NOUN
cana-1360	93	25	:	:	PUNCT
cana-1360	93	26	1074	1074	NUM
cana-1360	93	27	-	-	PUNCT
cana-1360	93	28	133x	133x	NUM
cana-1360	93	29	vol	vol	NOUN
cana-1360	93	30	31	31	NUM
cana-1360	93	31	no	no	NOUN
cana-1360	93	32	.	.	PUNCT
cana-1360	94	1	6s	6s	NUM
cana-1360	94	2	(	(	PUNCT
cana-1360	94	3	2024	2024	NUM
cana-1360	94	4	)	)	PUNCT
cana-1360	95	1	733	733	NUM
cana-1360	95	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	95	3	(	(	PUNCT
cana-1360	95	4	nasa	nasa	PROPN
cana-1360	95	5	)	)	PUNCT
cana-1360	95	6	prognostic	prognostic	ADJ
cana-1360	95	7	battery	battery	NOUN
cana-1360	95	8	dataset	dataset	NOUN
cana-1360	95	9	.	.	PUNCT
cana-1360	96	1	we	we	PRON
cana-1360	96	2	meticulously	meticulously	ADV
cana-1360	96	3	clean	clean	VERB
cana-1360	96	4	this	this	DET
cana-1360	96	5	dataset	dataset	NOUN
cana-1360	96	6	to	to	PART
cana-1360	96	7	remove	remove	VERB
cana-1360	96	8	anomalies	anomaly	NOUN
cana-1360	96	9	and	and	CCONJ
cana-1360	96	10	analyze	analyze	VERB
cana-1360	96	11	its	its	PRON
cana-1360	96	12	features	feature	NOUN
cana-1360	96	13	.	.	PUNCT
cana-1360	97	1	our	our	PRON
cana-1360	97	2	investigations	investigation	NOUN
cana-1360	97	3	reveal	reveal	VERB
cana-1360	97	4	that	that	SCONJ
cana-1360	97	5	the	the	DET
cana-1360	97	6	accuracy	accuracy	NOUN
cana-1360	97	7	model	model	NOUN
cana-1360	97	8	achieves	achieve	VERB
cana-1360	97	9	a	a	DET
cana-1360	97	10	root	root	NOUN
cana-1360	97	11	mean	mean	NOUN
cana-1360	97	12	square	square	ADJ
cana-1360	97	13	error	error	NOUN
cana-1360	97	14	of	of	ADP
cana-1360	97	15	0.33	0.33	NUM
cana-1360	97	16	%	%	NOUN
cana-1360	97	17	,	,	PUNCT
cana-1360	97	18	demonstrating	demonstrate	VERB
cana-1360	97	19	its	its	PRON
cana-1360	97	20	effectiveness	effectiveness	NOUN
cana-1360	97	21	in	in	ADP
cana-1360	97	22	predicting	predict	VERB
cana-1360	97	23	the	the	DET
cana-1360	97	24	health	health	NOUN
cana-1360	97	25	state	state	NOUN
cana-1360	97	26	of	of	ADP
cana-1360	97	27	individual	individual	ADJ
cana-1360	97	28	cells	cell	NOUN
cana-1360	97	29	.	.	PUNCT
cana-1360	98	1	furthermore	furthermore	ADV
cana-1360	98	2	,	,	PUNCT
cana-1360	98	3	we	we	PRON
cana-1360	98	4	compare	compare	VERB
cana-1360	98	5	our	our	PRON
cana-1360	98	6	findings	finding	NOUN
cana-1360	98	7	with	with	ADP
cana-1360	98	8	existing	exist	VERB
cana-1360	98	9	research	research	NOUN
cana-1360	98	10	,	,	PUNCT
cana-1360	98	11	establishing	establish	VERB
cana-1360	98	12	a	a	DET
cana-1360	98	13	benchmark	benchmark	NOUN
cana-1360	98	14	for	for	ADP
cana-1360	98	15	future	future	ADJ
cana-1360	98	16	studies	study	NOUN
cana-1360	98	17	.	.	PUNCT
cana-1360	99	1	our	our	PRON
cana-1360	99	2	open	open	ADJ
cana-1360	99	3	resources	resource	NOUN
cana-1360	99	4	,	,	PUNCT
cana-1360	99	5	including	include	VERB
cana-1360	99	6	code	code	NOUN
cana-1360	99	7	,	,	PUNCT
cana-1360	99	8	cleaned	clean	VERB
cana-1360	99	9	data	datum	NOUN
cana-1360	99	10	,	,	PUNCT
cana-1360	99	11	feature	feature	NOUN
cana-1360	99	12	analysis	analysis	NOUN
cana-1360	99	13	,	,	PUNCT
cana-1360	99	14	and	and	CCONJ
cana-1360	99	15	experimental	experimental	ADJ
cana-1360	99	16	reports	report	NOUN
cana-1360	99	17	,	,	PUNCT
cana-1360	99	18	are	be	AUX
cana-1360	99	19	publicly	publicly	ADV
cana-1360	99	20	available	available	ADJ
cana-1360	99	21	on	on	ADP
cana-1360	99	22	github	github	PROPN
cana-1360	99	23	(	(	PUNCT
cana-1360	99	24	https://github.com/jhrrlee/batterystates	https://github.com/jhrrlee/batterystates	PROPN
cana-1360	99	25	)	)	PUNCT
cana-1360	99	26	.	.	PUNCT
cana-1360	100	1	[	[	X
cana-1360	100	2	8	8	X
cana-1360	100	3	]	]	X
cana-1360	100	4	b.	b.	NOUN
cana-1360	100	5	understanding	understanding	NOUN
cana-1360	100	6	from	from	ADP
cana-1360	100	7	survey	survey	NOUN
cana-1360	100	8	enhancing	enhance	VERB
cana-1360	100	9	machine	machine	NOUN
cana-1360	100	10	failure	failure	NOUN
cana-1360	100	11	prediction	prediction	NOUN
cana-1360	100	12	in	in	ADP
cana-1360	100	13	avionics	avionic	NOUN
cana-1360	100	14	and	and	CCONJ
cana-1360	100	15	beyond	beyond	ADP
cana-1360	100	16	leverages	leverage	NOUN
cana-1360	100	17	a	a	DET
cana-1360	100	18	powerful	powerful	ADJ
cana-1360	100	19	combination	combination	NOUN
cana-1360	100	20	:	:	PUNCT
cana-1360	100	21	deep	deep	ADJ
cana-1360	100	22	convolutional	convolutional	ADJ
cana-1360	100	23	neural	neural	ADJ
cana-1360	100	24	networks	network	NOUN
cana-1360	100	25	(	(	PUNCT
cana-1360	100	26	dcnns	dcnns	ADJ
cana-1360	100	27	)	)	PUNCT
cana-1360	100	28	and	and	CCONJ
cana-1360	100	29	visual	visual	ADJ
cana-1360	100	30	analytics	analytic	NOUN
cana-1360	100	31	.	.	PUNCT
cana-1360	101	1	this	this	DET
cana-1360	101	2	approach	approach	NOUN
cana-1360	101	3	integrates	integrate	VERB
cana-1360	101	4	advanced	advanced	ADJ
cana-1360	101	5	ai	ai	VERB
cana-1360	101	6	techniques	technique	NOUN
cana-1360	101	7	with	with	ADP
cana-1360	101	8	sophisticated	sophisticated	ADJ
cana-1360	101	9	data	data	NOUN
cana-1360	101	10	visualization	visualization	NOUN
cana-1360	101	11	tools	tool	NOUN
cana-1360	101	12	.	.	PUNCT
cana-1360	102	1	dcnns	dcnns	PROPN
cana-1360	102	2	excel	excel	VERB
cana-1360	102	3	at	at	ADP
cana-1360	102	4	handling	handle	VERB
cana-1360	102	5	large	large	ADJ
cana-1360	102	6	,	,	PUNCT
cana-1360	102	7	complex	complex	ADJ
cana-1360	102	8	datasets	dataset	NOUN
cana-1360	102	9	,	,	PUNCT
cana-1360	102	10	making	make	VERB
cana-1360	102	11	them	they	PRON
cana-1360	102	12	adept	adept	ADJ
cana-1360	102	13	at	at	ADP
cana-1360	102	14	uncovering	uncover	VERB
cana-1360	102	15	patterns	pattern	NOUN
cana-1360	102	16	and	and	CCONJ
cana-1360	102	17	anomalies	anomaly	NOUN
cana-1360	102	18	in	in	ADP
cana-1360	102	19	machinery	machinery	NOUN
cana-1360	102	20	data	datum	NOUN
cana-1360	102	21	that	that	PRON
cana-1360	102	22	traditional	traditional	ADJ
cana-1360	102	23	methods	method	NOUN
cana-1360	102	24	might	might	AUX
cana-1360	102	25	overlook	overlook	VERB
cana-1360	102	26	.	.	PUNCT
cana-1360	103	1	by	by	ADP
cana-1360	103	2	training	training	NOUN
cana-1360	103	3	on	on	ADP
cana-1360	103	4	historical	historical	ADJ
cana-1360	103	5	failure	failure	NOUN
cana-1360	103	6	data	datum	NOUN
cana-1360	103	7	and	and	CCONJ
cana-1360	103	8	operational	operational	ADJ
cana-1360	103	9	parameters	parameter	NOUN
cana-1360	103	10	,	,	PUNCT
cana-1360	103	11	dcnns	dcnns	PROPN
cana-1360	103	12	can	can	AUX
cana-1360	103	13	generate	generate	VERB
cana-1360	103	14	highly	highly	ADV
cana-1360	103	15	accurate	accurate	ADJ
cana-1360	103	16	predictions	prediction	NOUN
cana-1360	103	17	of	of	ADP
cana-1360	103	18	potential	potential	ADJ
cana-1360	103	19	failures	failure	NOUN
cana-1360	103	20	.	.	PUNCT
cana-1360	104	1	this	this	DET
cana-1360	104	2	capability	capability	NOUN
cana-1360	104	3	is	be	AUX
cana-1360	104	4	critical	critical	ADJ
cana-1360	104	5	in	in	ADP
cana-1360	104	6	aviation	aviation	NOUN
cana-1360	104	7	,	,	PUNCT
cana-1360	104	8	where	where	SCONJ
cana-1360	104	9	equipment	equipment	NOUN
cana-1360	104	10	malfunctions	malfunction	NOUN
cana-1360	104	11	can	can	AUX
cana-1360	104	12	be	be	AUX
cana-1360	104	13	catastrophic	catastrophic	ADJ
cana-1360	104	14	.	.	PUNCT
cana-1360	105	1	integrating	integrate	VERB
cana-1360	105	2	dcnns	dcnns	ADJ
cana-1360	105	3	enables	enable	VERB
cana-1360	105	4	real	real	ADJ
cana-1360	105	5	-	-	PUNCT
cana-1360	105	6	time	time	NOUN
cana-1360	105	7	monitoring	monitoring	NOUN
cana-1360	105	8	and	and	CCONJ
cana-1360	105	9	predictive	predictive	ADJ
cana-1360	105	10	maintenance	maintenance	NOUN
cana-1360	105	11	,	,	PUNCT
cana-1360	105	12	leading	lead	VERB
cana-1360	105	13	to	to	ADP
cana-1360	105	14	significant	significant	ADJ
cana-1360	105	15	reductions	reduction	NOUN
cana-1360	105	16	in	in	ADP
cana-1360	105	17	downtime	downtime	NOUN
cana-1360	105	18	and	and	CCONJ
cana-1360	105	19	maintenance	maintenance	NOUN
cana-1360	105	20	costs	cost	NOUN
cana-1360	105	21	,	,	PUNCT
cana-1360	105	22	while	while	SCONJ
cana-1360	105	23	simultaneously	simultaneously	ADV
cana-1360	105	24	bolstering	bolster	VERB
cana-1360	105	25	safety	safety	NOUN
cana-1360	105	26	and	and	CCONJ
cana-1360	105	27	reliability	reliability	NOUN
cana-1360	105	28	.	.	PUNCT
cana-1360	106	1	visual	visual	ADJ
cana-1360	106	2	analytics	analytic	NOUN
cana-1360	106	3	serve	serve	VERB
cana-1360	106	4	as	as	ADP
cana-1360	106	5	a	a	DET
cana-1360	106	6	powerful	powerful	ADJ
cana-1360	106	7	complement	complement	NOUN
cana-1360	106	8	to	to	ADP
cana-1360	106	9	dcnns	dcnns	PROPN
cana-1360	106	10	.	.	PUNCT
cana-1360	107	1	these	these	DET
cana-1360	107	2	techniques	technique	NOUN
cana-1360	107	3	provide	provide	VERB
cana-1360	107	4	intuitive	intuitive	ADJ
cana-1360	107	5	and	and	CCONJ
cana-1360	107	6	interactive	interactive	ADJ
cana-1360	107	7	data	datum	NOUN
cana-1360	107	8	visualizations	visualization	NOUN
cana-1360	107	9	,	,	PUNCT
cana-1360	107	10	aiding	aid	VERB
cana-1360	107	11	engineers	engineer	NOUN
cana-1360	107	12	and	and	CCONJ
cana-1360	107	13	decision	decision	NOUN
cana-1360	107	14	-	-	PUNCT
cana-1360	107	15	makers	maker	NOUN
cana-1360	107	16	in	in	ADP
cana-1360	107	17	deciphering	decipher	VERB
cana-1360	107	18	complex	complex	ADJ
cana-1360	107	19	data	datum	NOUN
cana-1360	107	20	and	and	CCONJ
cana-1360	107	21	model	model	NOUN
cana-1360	107	22	outputs	output	NOUN
cana-1360	107	23	.	.	PUNCT
cana-1360	108	1	by	by	ADP
cana-1360	108	2	visually	visually	ADV
cana-1360	108	3	highlighting	highlight	VERB
cana-1360	108	4	patterns	pattern	NOUN
cana-1360	108	5	,	,	PUNCT
cana-1360	108	6	trends	trend	NOUN
cana-1360	108	7	,	,	PUNCT
cana-1360	108	8	and	and	CCONJ
cana-1360	108	9	anomalies	anomaly	NOUN
cana-1360	108	10	identified	identify	VERB
cana-1360	108	11	by	by	ADP
cana-1360	108	12	dcnns	dcnn	NOUN
cana-1360	108	13	,	,	PUNCT
cana-1360	108	14	stakeholders	stakeholder	NOUN
cana-1360	108	15	can	can	AUX
cana-1360	108	16	gain	gain	VERB
cana-1360	108	17	rapid	rapid	ADJ
cana-1360	108	18	insights	insight	NOUN
cana-1360	108	19	and	and	CCONJ
cana-1360	108	20	make	make	VERB
cana-1360	108	21	well	well	ADV
cana-1360	108	22	-	-	PUNCT
cana-1360	108	23	informed	inform	VERB
cana-1360	108	24	decisions	decision	NOUN
cana-1360	108	25	.	.	PUNCT
cana-1360	109	1	this	this	DET
cana-1360	109	2	synergy	synergy	NOUN
cana-1360	109	3	between	between	ADP
cana-1360	109	4	deep	deep	ADJ
cana-1360	109	5	learning	learning	NOUN
cana-1360	109	6	and	and	CCONJ
cana-1360	109	7	visual	visual	ADJ
cana-1360	109	8	analytics	analytic	NOUN
cana-1360	109	9	strengthens	strengthen	VERB
cana-1360	109	10	the	the	DET
cana-1360	109	11	overall	overall	ADJ
cana-1360	109	12	predictive	predictive	ADJ
cana-1360	109	13	maintenance	maintenance	NOUN
cana-1360	109	14	framework	framework	NOUN
cana-1360	109	15	,	,	PUNCT
cana-1360	109	16	promoting	promote	VERB
cana-1360	109	17	a	a	DET
cana-1360	109	18	proactive	proactive	ADJ
cana-1360	109	19	approach	approach	NOUN
cana-1360	109	20	to	to	ADP
cana-1360	109	21	machine	machine	NOUN
cana-1360	109	22	health	health	NOUN
cana-1360	109	23	management	management	NOUN
cana-1360	109	24	.	.	PUNCT
cana-1360	110	1	beyond	beyond	ADP
cana-1360	110	2	aviation	aviation	NOUN
cana-1360	110	3	,	,	PUNCT
cana-1360	110	4	these	these	DET
cana-1360	110	5	technologies	technology	NOUN
cana-1360	110	6	hold	hold	VERB
cana-1360	110	7	similar	similar	ADJ
cana-1360	110	8	promise	promise	NOUN
cana-1360	110	9	for	for	ADP
cana-1360	110	10	industries	industry	NOUN
cana-1360	110	11	like	like	ADP
cana-1360	110	12	manufacturing	manufacturing	NOUN
cana-1360	110	13	and	and	CCONJ
cana-1360	110	14	transportation	transportation	NOUN
cana-1360	110	15	.	.	PUNCT
cana-1360	111	1	by	by	ADP
cana-1360	111	2	enabling	enable	VERB
cana-1360	111	3	the	the	DET
cana-1360	111	4	anticipation	anticipation	NOUN
cana-1360	111	5	of	of	ADP
cana-1360	111	6	failures	failure	NOUN
cana-1360	111	7	before	before	SCONJ
cana-1360	111	8	they	they	PRON
cana-1360	111	9	occur	occur	VERB
cana-1360	111	10	and	and	CCONJ
cana-1360	111	11	facilitating	facilitate	VERB
cana-1360	111	12	timely	timely	ADJ
cana-1360	111	13	interventions	intervention	NOUN
cana-1360	111	14	,	,	PUNCT
cana-1360	111	15	they	they	PRON
cana-1360	111	16	can	can	AUX
cana-1360	111	17	contribute	contribute	VERB
cana-1360	111	18	to	to	ADP
cana-1360	111	19	improved	improved	ADJ
cana-1360	111	20	efficiency	efficiency	NOUN
cana-1360	111	21	,	,	PUNCT
cana-1360	111	22	reduced	reduce	VERB
cana-1360	111	23	costs	cost	NOUN
cana-1360	111	24	,	,	PUNCT
cana-1360	111	25	and	and	CCONJ
cana-1360	111	26	enhanced	enhanced	ADJ
cana-1360	111	27	safety	safety	NOUN
cana-1360	111	28	.	.	PUNCT
cana-1360	112	1	3	3	X
cana-1360	112	2	.	.	X
cana-1360	112	3	methodology	methodology	PROPN
cana-1360	112	4	a.	a.	PROPN
cana-1360	112	5	nasa	nasa	PROPN
cana-1360	112	6	predictive	predictive	ADJ
cana-1360	112	7	maintenance	maintenance	NOUN
cana-1360	112	8	(	(	PUNCT
cana-1360	112	9	rul	rul	NOUN
cana-1360	112	10	)	)	PUNCT
cana-1360	112	11	database	database	NOUN
cana-1360	112	12	nasa	nasa	PROPN
cana-1360	112	13	's	's	PART
cana-1360	112	14	c	c	NOUN
cana-1360	112	15	-	-	PUNCT
cana-1360	112	16	mapss	mapss	ADJ
cana-1360	112	17	dataset	dataset	NOUN
cana-1360	112	18	is	be	AUX
cana-1360	112	19	a	a	DET
cana-1360	112	20	valuable	valuable	ADJ
cana-1360	112	21	resource	resource	NOUN
cana-1360	112	22	that	that	PRON
cana-1360	112	23	fosters	foster	VERB
cana-1360	112	24	advancements	advancement	NOUN
cana-1360	112	25	in	in	ADP
cana-1360	112	26	predictive	predictive	ADJ
cana-1360	112	27	maintenance	maintenance	NOUN
cana-1360	112	28	and	and	CCONJ
cana-1360	112	29	prognostics	prognostic	NOUN
cana-1360	112	30	.	.	PUNCT
cana-1360	113	1	this	this	DET
cana-1360	113	2	comprehensive	comprehensive	ADJ
cana-1360	113	3	dataset	dataset	NOUN
cana-1360	113	4	offers	offer	VERB
cana-1360	113	5	time	time	NOUN
cana-1360	113	6	-	-	PUNCT
cana-1360	113	7	series	series	NOUN
cana-1360	113	8	data	datum	NOUN
cana-1360	113	9	on	on	ADP
cana-1360	113	10	machinery	machinery	NOUN
cana-1360	113	11	operation	operation	NOUN
cana-1360	113	12	,	,	PUNCT
cana-1360	113	13	maintenance	maintenance	NOUN
cana-1360	113	14	interventions	intervention	NOUN
cana-1360	113	15	,	,	PUNCT
cana-1360	113	16	and	and	CCONJ
cana-1360	113	17	failure	failure	NOUN
cana-1360	113	18	events	event	NOUN
cana-1360	113	19	.	.	PUNCT
cana-1360	114	1	this	this	DET
cana-1360	114	2	rich	rich	ADJ
cana-1360	114	3	data	data	PROPN
cana-1360	114	4	foundation	foundation	NOUN
cana-1360	114	5	empowers	empower	VERB
cana-1360	114	6	researchers	researcher	NOUN
cana-1360	114	7	to	to	PART
cana-1360	114	8	develop	develop	VERB
cana-1360	114	9	and	and	CCONJ
cana-1360	114	10	rigorously	rigorously	ADV
cana-1360	114	11	test	test	VERB
cana-1360	114	12	prognostic	prognostic	ADJ
cana-1360	114	13	algorithms	algorithm	NOUN
cana-1360	114	14	.	.	PUNCT
cana-1360	115	1	the	the	DET
cana-1360	115	2	c	c	NOUN
cana-1360	115	3	-	-	PUNCT
cana-1360	115	4	mapss	mapss	ADJ
cana-1360	115	5	dataset	dataset	NOUN
cana-1360	115	6	focuses	focus	VERB
cana-1360	115	7	on	on	ADP
cana-1360	115	8	predicting	predict	VERB
cana-1360	115	9	the	the	DET
cana-1360	115	10	remaining	remain	VERB
cana-1360	115	11	useful	useful	ADJ
cana-1360	115	12	life	life	NOUN
cana-1360	115	13	(	(	PUNCT
cana-1360	115	14	rul	rul	NOUN
cana-1360	115	15	)	)	PUNCT
cana-1360	115	16	of	of	ADP
cana-1360	115	17	various	various	ADJ
cana-1360	115	18	components	component	NOUN
cana-1360	115	19	and	and	CCONJ
cana-1360	115	20	systems	system	NOUN
cana-1360	115	21	.	.	PUNCT
cana-1360	116	1	this	this	DET
cana-1360	116	2	focus	focus	NOUN
cana-1360	116	3	empowers	empower	VERB
cana-1360	116	4	more	more	ADV
cana-1360	116	5	effective	effective	ADJ
cana-1360	116	6	maintenance	maintenance	NOUN
cana-1360	116	7	scheduling	scheduling	NOUN
cana-1360	116	8	and	and	CCONJ
cana-1360	116	9	minimizes	minimize	VERB
cana-1360	116	10	the	the	DET
cana-1360	116	11	risk	risk	NOUN
cana-1360	116	12	of	of	ADP
cana-1360	116	13	unforeseen	unforeseen	ADJ
cana-1360	116	14	failures	failure	NOUN
cana-1360	116	15	.	.	PUNCT
cana-1360	117	1	researchers	researcher	NOUN
cana-1360	117	2	and	and	CCONJ
cana-1360	117	3	engineers	engineer	NOUN
cana-1360	117	4	leverage	leverage	VERB
cana-1360	117	5	this	this	DET
cana-1360	117	6	data	datum	NOUN
cana-1360	117	7	to	to	PART
cana-1360	117	8	train	train	VERB
cana-1360	117	9	and	and	CCONJ
cana-1360	117	10	validate	validate	VERB
cana-1360	117	11	machine	machine	NOUN
cana-1360	117	12	learning	learning	NOUN
cana-1360	117	13	models	model	NOUN
cana-1360	117	14	,	,	PUNCT
cana-1360	117	15	such	such	ADJ
cana-1360	117	16	as	as	ADP
cana-1360	117	17	deep	deep	ADJ
cana-1360	117	18	convolutional	convolutional	ADJ
cana-1360	117	19	neural	neural	ADJ
cana-1360	117	20	networks	network	NOUN
cana-1360	117	21	(	(	PUNCT
cana-1360	117	22	dcnns	dcnns	ADJ
cana-1360	117	23	)	)	PUNCT
cana-1360	117	24	.	.	PUNCT
cana-1360	118	1	these	these	DET
cana-1360	118	2	models	model	NOUN
cana-1360	118	3	can	can	AUX
cana-1360	118	4	analyze	analyze	VERB
cana-1360	118	5	historical	historical	ADJ
cana-1360	118	6	and	and	CCONJ
cana-1360	118	7	real	real	ADJ
cana-1360	118	8	-	-	PUNCT
cana-1360	118	9	time	time	NOUN
cana-1360	118	10	data	datum	NOUN
cana-1360	118	11	to	to	PART
cana-1360	118	12	predict	predict	VERB
cana-1360	118	13	when	when	SCONJ
cana-1360	118	14	a	a	DET
cana-1360	118	15	machine	machine	NOUN
cana-1360	118	16	or	or	CCONJ
cana-1360	118	17	component	component	NOUN
cana-1360	118	18	is	be	AUX
cana-1360	118	19	nearing	near	VERB
cana-1360	118	20	failure	failure	NOUN
cana-1360	118	21	.	.	PUNCT
cana-1360	119	1	the	the	DET
cana-1360	119	2	rul	rul	NOUN
cana-1360	119	3	database	database	NOUN
cana-1360	119	4	boasts	boast	VERB
cana-1360	119	5	a	a	DET
cana-1360	119	6	rich	rich	ADJ
cana-1360	119	7	variety	variety	NOUN
cana-1360	119	8	of	of	ADP
cana-1360	119	9	machinery	machinery	NOUN
cana-1360	119	10	and	and	CCONJ
cana-1360	119	11	operational	operational	ADJ
cana-1360	119	12	scenarios	scenario	NOUN
cana-1360	119	13	,	,	PUNCT
cana-1360	119	14	mirroring	mirror	VERB
cana-1360	119	15	the	the	DET
cana-1360	119	16	versatility	versatility	NOUN
cana-1360	119	17	of	of	ADP
cana-1360	119	18	predictive	predictive	ADJ
cana-1360	119	19	maintenance	maintenance	NOUN
cana-1360	119	20	across	across	ADP
cana-1360	119	21	diverse	diverse	ADJ
cana-1360	119	22	industries	industry	NOUN
cana-1360	119	23	.	.	PUNCT
cana-1360	120	1	take	take	VERB
cana-1360	120	2	the	the	DET
cana-1360	120	3	aviation	aviation	NOUN
cana-1360	120	4	sector	sector	NOUN
cana-1360	120	5	for	for	ADP
cana-1360	120	6	instance	instance	NOUN
cana-1360	120	7	,	,	PUNCT
cana-1360	120	8	where	where	SCONJ
cana-1360	120	9	the	the	DET
cana-1360	120	10	database	database	NOUN
cana-1360	120	11	houses	house	VERB
cana-1360	120	12	data	datum	NOUN
cana-1360	120	13	from	from	ADP
cana-1360	120	14	aircraft	aircraft	NOUN
cana-1360	120	15	engines	engine	NOUN
cana-1360	120	16	.	.	PUNCT
cana-1360	121	1	here	here	ADV
cana-1360	121	2	,	,	PUNCT
cana-1360	121	3	pinpointing	pinpoint	VERB
cana-1360	121	4	rul	rul	NOUN
cana-1360	121	5	with	with	ADP
cana-1360	121	6	high	high	ADJ
cana-1360	121	7	accuracy	accuracy	NOUN
cana-1360	121	8	is	be	AUX
cana-1360	121	9	paramount	paramount	ADJ
cana-1360	121	10	for	for	ADP
cana-1360	121	11	both	both	DET
cana-1360	121	12	safety	safety	NOUN
cana-1360	121	13	and	and	CCONJ
cana-1360	121	14	optimizing	optimize	VERB
cana-1360	121	15	maintenance	maintenance	NOUN
cana-1360	121	16	schedules	schedule	NOUN
cana-1360	121	17	.	.	PUNCT
cana-1360	122	1	the	the	DET
cana-1360	122	2	dataset	dataset	NOUN
cana-1360	122	3	incorporates	incorporate	VERB
cana-1360	122	4	a	a	DET
cana-1360	122	5	diverse	diverse	ADJ
cana-1360	122	6	range	range	NOUN
cana-1360	122	7	of	of	ADP
cana-1360	122	8	sensor	sensor	NOUN
cana-1360	122	9	readings	reading	NOUN
cana-1360	122	10	,	,	PUNCT
cana-1360	122	11	operational	operational	ADJ
cana-1360	122	12	parameters	parameter	NOUN
cana-1360	122	13	,	,	PUNCT
cana-1360	122	14	and	and	CCONJ
cana-1360	122	15	failure	failure	NOUN
cana-1360	122	16	modes	mode	NOUN
cana-1360	122	17	,	,	PUNCT
cana-1360	122	18	https://github.com/jhrrlee/batterystates	https://github.com/jhrrlee/batterystate	VERB
cana-1360	122	19	communications	communication	NOUN
cana-1360	122	20	on	on	ADP
cana-1360	122	21	applied	apply	VERB
cana-1360	122	22	nonlinear	nonlinear	ADJ
cana-1360	122	23	analysis	analysis	NOUN
cana-1360	122	24	issn	issn	NOUN
cana-1360	122	25	:	:	PUNCT
cana-1360	122	26	1074	1074	NUM
cana-1360	122	27	-	-	PUNCT
cana-1360	122	28	133x	133x	NUM
cana-1360	122	29	vol	vol	NOUN
cana-1360	122	30	31	31	NUM
cana-1360	122	31	no	no	NOUN
cana-1360	122	32	.	.	PUNCT
cana-1360	123	1	6s	6s	NUM
cana-1360	123	2	(	(	PUNCT
cana-1360	123	3	2024	2024	NUM
cana-1360	123	4	)	)	PUNCT
cana-1360	123	5	734	734	NUM
cana-1360	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	123	7	offering	offer	VERB
cana-1360	123	8	a	a	DET
cana-1360	123	9	rich	rich	ADJ
cana-1360	123	10	information	information	NOUN
cana-1360	123	11	pool	pool	NOUN
cana-1360	123	12	for	for	ADP
cana-1360	123	13	developing	develop	VERB
cana-1360	123	14	advanced	advanced	ADJ
cana-1360	123	15	predictive	predictive	ADJ
cana-1360	123	16	models	model	NOUN
cana-1360	123	17	.	.	PUNCT
cana-1360	124	1	by	by	ADP
cana-1360	124	2	capitalizing	capitalize	VERB
cana-1360	124	3	on	on	ADP
cana-1360	124	4	the	the	DET
cana-1360	124	5	rul	rul	NOUN
cana-1360	124	6	database	database	NOUN
cana-1360	124	7	,	,	PUNCT
cana-1360	124	8	researchers	researcher	NOUN
cana-1360	124	9	can	can	AUX
cana-1360	124	10	propel	propel	VERB
cana-1360	124	11	the	the	DET
cana-1360	124	12	continuous	continuous	ADJ
cana-1360	124	13	improvement	improvement	NOUN
cana-1360	124	14	of	of	ADP
cana-1360	124	15	reliable	reliable	ADJ
cana-1360	124	16	predictive	predictive	ADJ
cana-1360	124	17	maintenance	maintenance	NOUN
cana-1360	124	18	frameworks	framework	NOUN
cana-1360	124	19	.	.	PUNCT
cana-1360	125	1	this	this	PRON
cana-1360	125	2	ultimately	ultimately	ADV
cana-1360	125	3	translates	translate	VERB
cana-1360	125	4	to	to	ADP
cana-1360	125	5	enhanced	enhance	VERB
cana-1360	125	6	operational	operational	ADJ
cana-1360	125	7	efficiency	efficiency	NOUN
cana-1360	125	8	,	,	PUNCT
cana-1360	125	9	reduced	reduce	VERB
cana-1360	125	10	maintenance	maintenance	NOUN
cana-1360	125	11	costs	cost	NOUN
cana-1360	125	12	,	,	PUNCT
cana-1360	125	13	and	and	CCONJ
cana-1360	125	14	increased	increase	VERB
cana-1360	125	15	safety	safety	NOUN
cana-1360	125	16	in	in	ADP
cana-1360	125	17	avionics	avionic	NOUN
cana-1360	125	18	and	and	CCONJ
cana-1360	125	19	other	other	ADJ
cana-1360	125	20	critical	critical	ADJ
cana-1360	125	21	industries	industry	NOUN
cana-1360	125	22	.	.	PUNCT
cana-1360	126	1	proposed	propose	VERB
cana-1360	126	2	flow	flow	NOUN
cana-1360	126	3	chart	chart	PROPN
cana-1360	126	4	fig	fig	NOUN
cana-1360	126	5	1	1	NUM
cana-1360	126	6	:	:	PUNCT
cana-1360	126	7	proposed	propose	VERB
cana-1360	126	8	flowchart	flowchart	NOUN
cana-1360	126	9	following	follow	VERB
cana-1360	126	10	an	an	DET
cana-1360	126	11	extensive	extensive	ADJ
cana-1360	126	12	literature	literature	NOUN
cana-1360	126	13	review	review	NOUN
cana-1360	126	14	,	,	PUNCT
cana-1360	126	15	this	this	DET
cana-1360	126	16	work	work	NOUN
cana-1360	126	17	presents	present	VERB
cana-1360	126	18	a	a	DET
cana-1360	126	19	systematic	systematic	ADJ
cana-1360	126	20	approach	approach	NOUN
cana-1360	126	21	for	for	ADP
cana-1360	126	22	implementing	implement	VERB
cana-1360	126	23	predictive	predictive	ADJ
cana-1360	126	24	maintenance	maintenance	NOUN
cana-1360	126	25	solutions	solution	NOUN
cana-1360	126	26	across	across	ADP
cana-1360	126	27	industries	industry	NOUN
cana-1360	126	28	,	,	PUNCT
cana-1360	126	29	as	as	SCONJ
cana-1360	126	30	outlined	outline	VERB
cana-1360	126	31	in	in	ADP
cana-1360	126	32	the	the	DET
cana-1360	126	33	proposed	propose	VERB
cana-1360	126	34	model	model	NOUN
cana-1360	126	35	flowchart	flowchart	PROPN
cana-1360	126	36	(	(	PUNCT
cana-1360	126	37	figure	figure	NOUN
cana-1360	126	38	1	1	NUM
cana-1360	126	39	)	)	PUNCT
cana-1360	126	40	.	.	PUNCT
cana-1360	127	1	the	the	DET
cana-1360	127	2	process	process	NOUN
cana-1360	127	3	commences	commence	VERB
cana-1360	127	4	with	with	ADP
cana-1360	127	5	data	datum	NOUN
cana-1360	127	6	acquisition	acquisition	NOUN
cana-1360	127	7	.	.	PUNCT
cana-1360	128	1	here	here	ADV
cana-1360	128	2	,	,	PUNCT
cana-1360	128	3	relevant	relevant	ADJ
cana-1360	128	4	data	datum	NOUN
cana-1360	128	5	on	on	ADP
cana-1360	128	6	machine	machine	NOUN
cana-1360	128	7	operation	operation	NOUN
cana-1360	128	8	,	,	PUNCT
cana-1360	128	9	maintenance	maintenance	NOUN
cana-1360	128	10	logs	log	NOUN
cana-1360	128	11	,	,	PUNCT
cana-1360	128	12	and	and	CCONJ
cana-1360	128	13	historical	historical	ADJ
cana-1360	128	14	failure	failure	NOUN
cana-1360	128	15	events	event	NOUN
cana-1360	128	16	are	be	AUX
cana-1360	128	17	gathered	gather	VERB
cana-1360	128	18	from	from	ADP
cana-1360	128	19	various	various	ADJ
cana-1360	128	20	sources	source	NOUN
cana-1360	128	21	.	.	PUNCT
cana-1360	129	1	this	this	DET
cana-1360	129	2	comprehensive	comprehensive	ADJ
cana-1360	129	3	data	data	NOUN
cana-1360	129	4	collection	collection	NOUN
cana-1360	129	5	phase	phase	NOUN
cana-1360	129	6	equips	equip	VERB
cana-1360	129	7	the	the	DET
cana-1360	129	8	predictive	predictive	ADJ
cana-1360	129	9	maintenance	maintenance	NOUN
cana-1360	129	10	system	system	NOUN
cana-1360	129	11	with	with	ADP
cana-1360	129	12	rich	rich	ADJ
cana-1360	129	13	and	and	CCONJ
cana-1360	129	14	diverse	diverse	ADJ
cana-1360	129	15	datasets	dataset	NOUN
cana-1360	129	16	,	,	PUNCT
cana-1360	129	17	crucial	crucial	ADJ
cana-1360	129	18	for	for	ADP
cana-1360	129	19	generating	generate	VERB
cana-1360	129	20	accurate	accurate	ADJ
cana-1360	129	21	predictions	prediction	NOUN
cana-1360	129	22	.	.	PUNCT
cana-1360	130	1	after	after	ADP
cana-1360	130	2	collection	collection	NOUN
cana-1360	130	3	,	,	PUNCT
cana-1360	130	4	the	the	DET
cana-1360	130	5	data	datum	NOUN
cana-1360	130	6	undergoes	undergo	VERB
cana-1360	130	7	rigorous	rigorous	ADJ
cana-1360	130	8	preparation	preparation	NOUN
cana-1360	130	9	and	and	CCONJ
cana-1360	130	10	preprocessing	preprocessing	NOUN
cana-1360	130	11	to	to	PART
cana-1360	130	12	guarantee	guarantee	VERB
cana-1360	130	13	its	its	PRON
cana-1360	130	14	quality	quality	NOUN
cana-1360	130	15	and	and	CCONJ
cana-1360	130	16	suitability	suitability	NOUN
cana-1360	130	17	for	for	ADP
cana-1360	130	18	modeling	modeling	NOUN
cana-1360	130	19	.	.	PUNCT
cana-1360	131	1	this	this	DET
cana-1360	131	2	critical	critical	ADJ
cana-1360	131	3	step	step	NOUN
cana-1360	131	4	involves	involve	VERB
cana-1360	131	5	tasks	task	NOUN
cana-1360	131	6	like	like	ADP
cana-1360	131	7	data	datum	NOUN
cana-1360	131	8	cleaning	cleaning	NOUN
cana-1360	131	9	,	,	PUNCT
cana-1360	131	10	feature	feature	NOUN
cana-1360	131	11	engineering	engineering	NOUN
cana-1360	131	12	,	,	PUNCT
cana-1360	131	13	and	and	CCONJ
cana-1360	131	14	normalization	normalization	NOUN
cana-1360	131	15	,	,	PUNCT
cana-1360	131	16	all	all	PRON
cana-1360	131	17	aimed	aim	VERB
cana-1360	131	18	at	at	ADP
cana-1360	131	19	enhancing	enhance	VERB
cana-1360	131	20	the	the	DET
cana-1360	131	21	dataset	dataset	NOUN
cana-1360	131	22	's	's	PART
cana-1360	131	23	integrity	integrity	NOUN
cana-1360	131	24	and	and	CCONJ
cana-1360	131	25	relevance	relevance	NOUN
cana-1360	131	26	for	for	ADP
cana-1360	131	27	machine	machine	NOUN
cana-1360	131	28	learning	learning	NOUN
cana-1360	131	29	.	.	PUNCT
cana-1360	132	1	once	once	SCONJ
cana-1360	132	2	the	the	DET
cana-1360	132	3	data	data	NOUN
cana-1360	132	4	is	be	AUX
cana-1360	132	5	prepared	prepare	VERB
cana-1360	132	6	,	,	PUNCT
cana-1360	132	7	the	the	DET
cana-1360	132	8	next	next	ADJ
cana-1360	132	9	stage	stage	NOUN
cana-1360	132	10	focuses	focus	VERB
cana-1360	132	11	on	on	ADP
cana-1360	132	12	model	model	NOUN
cana-1360	132	13	evaluation	evaluation	NOUN
cana-1360	132	14	.	.	PUNCT
cana-1360	133	1	here	here	ADV
cana-1360	133	2	,	,	PUNCT
cana-1360	133	3	various	various	ADJ
cana-1360	133	4	predictive	predictive	ADJ
cana-1360	133	5	communications	communication	NOUN
cana-1360	133	6	on	on	ADP
cana-1360	133	7	applied	apply	VERB
cana-1360	133	8	nonlinear	nonlinear	ADJ
cana-1360	133	9	analysis	analysis	NOUN
cana-1360	133	10	issn	issn	NOUN
cana-1360	133	11	:	:	PUNCT
cana-1360	133	12	1074	1074	NUM
cana-1360	133	13	-	-	PUNCT
cana-1360	133	14	133x	133x	NUM
cana-1360	133	15	vol	vol	NOUN
cana-1360	133	16	31	31	NUM
cana-1360	133	17	no	no	NOUN
cana-1360	133	18	.	.	PUNCT
cana-1360	134	1	6s	6s	NUM
cana-1360	134	2	(	(	PUNCT
cana-1360	134	3	2024	2024	NUM
cana-1360	134	4	)	)	PUNCT
cana-1360	134	5	735	735	NUM
cana-1360	134	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1360	134	7	models	model	NOUN
cana-1360	134	8	,	,	PUNCT
cana-1360	134	9	including	include	VERB
cana-1360	134	10	deep	deep	ADJ
cana-1360	134	11	learning	learning	NOUN
cana-1360	134	12	algorithms	algorithm	NOUN
cana-1360	134	13	like	like	ADP
cana-1360	134	14	convolutional	convolutional	ADJ
cana-1360	134	15	neural	neural	ADJ
cana-1360	134	16	networks	network	NOUN
cana-1360	134	17	(	(	PUNCT
cana-1360	134	18	cnns	cnns	PROPN
cana-1360	134	19	)	)	PUNCT
cana-1360	134	20	,	,	PUNCT
cana-1360	134	21	are	be	AUX
cana-1360	134	22	trained	train	VERB
cana-1360	134	23	,	,	PUNCT
cana-1360	134	24	tested	test	VERB
cana-1360	134	25	,	,	PUNCT
cana-1360	134	26	and	and	CCONJ
cana-1360	134	27	validated	validate	VERB
cana-1360	134	28	using	use	VERB
cana-1360	134	29	appropriate	appropriate	ADJ
cana-1360	134	30	performance	performance	NOUN
cana-1360	134	31	metrics	metric	NOUN
cana-1360	134	32	to	to	PART
cana-1360	134	33	determine	determine	VERB
cana-1360	134	34	the	the	DET
cana-1360	134	35	most	most	ADV
cana-1360	134	36	effective	effective	ADJ
cana-1360	134	37	approach	approach	NOUN
cana-1360	134	38	.	.	PUNCT
cana-1360	135	1	after	after	ADP
cana-1360	135	2	selecting	select	VERB
cana-1360	135	3	the	the	DET
cana-1360	135	4	optimal	optimal	ADJ
cana-1360	135	5	model	model	NOUN
cana-1360	135	6	based	base	VERB
cana-1360	135	7	on	on	ADP
cana-1360	135	8	its	its	PRON
cana-1360	135	9	performance	performance	NOUN
cana-1360	135	10	metrics	metric	NOUN
cana-1360	135	11	,	,	PUNCT
cana-1360	135	12	visualization	visualization	NOUN
cana-1360	135	13	techniques	technique	NOUN
cana-1360	135	14	are	be	AUX
cana-1360	135	15	employed	employ	VERB
cana-1360	135	16	to	to	PART
cana-1360	135	17	translate	translate	VERB
cana-1360	135	18	the	the	DET
cana-1360	135	19	results	result	NOUN
cana-1360	135	20	into	into	ADP
cana-1360	135	21	actionable	actionable	ADJ
cana-1360	135	22	insights	insight	NOUN
cana-1360	135	23	.	.	PUNCT
cana-1360	136	1	subsequently	subsequently	ADV
cana-1360	136	2	,	,	PUNCT
cana-1360	136	3	the	the	DET
cana-1360	136	4	validated	validate	VERB
cana-1360	136	5	model	model	NOUN
cana-1360	136	6	is	be	AUX
cana-1360	136	7	deployed	deploy	VERB
cana-1360	136	8	in	in	ADP
cana-1360	136	9	real	real	ADJ
cana-1360	136	10	-	-	PUNCT
cana-1360	136	11	world	world	NOUN
cana-1360	136	12	industrial	industrial	ADJ
cana-1360	136	13	settings	setting	NOUN
cana-1360	136	14	.	.	PUNCT
cana-1360	137	1	here	here	ADV
cana-1360	137	2	,	,	PUNCT
cana-1360	137	3	it	it	PRON
cana-1360	137	4	empowers	empower	VERB
cana-1360	137	5	proactive	proactive	ADJ
cana-1360	137	6	identification	identification	NOUN
cana-1360	137	7	of	of	ADP
cana-1360	137	8	potential	potential	ADJ
cana-1360	137	9	machine	machine	NOUN
cana-1360	137	10	failures	failure	NOUN
cana-1360	137	11	,	,	PUNCT
cana-1360	137	12	allowing	allow	VERB
cana-1360	137	13	for	for	ADP
cana-1360	137	14	optimized	optimize	VERB
cana-1360	137	15	maintenance	maintenance	NOUN
cana-1360	137	16	scheduling	scheduling	NOUN
cana-1360	137	17	and	and	CCONJ
cana-1360	137	18	minimized	minimized	ADJ
cana-1360	137	19	downtime	downtime	NOUN
cana-1360	137	20	.	.	PUNCT
cana-1360	138	1	ultimately	ultimately	ADV
cana-1360	138	2	,	,	PUNCT
cana-1360	138	3	this	this	PRON
cana-1360	138	4	leads	lead	VERB
cana-1360	138	5	to	to	ADP
cana-1360	138	6	improved	improve	VERB
cana-1360	138	7	operational	operational	ADJ
cana-1360	138	8	efficiency	efficiency	NOUN
cana-1360	138	9	and	and	CCONJ
cana-1360	138	10	cost	cost	NOUN
cana-1360	138	11	savings	saving	NOUN
cana-1360	138	12	.	.	PUNCT
cana-1360	139	1	results	result	NOUN
cana-1360	139	2	and	and	CCONJ
cana-1360	139	3	discussion	discussion	NOUN
cana-1360	139	4	this	this	DET
cana-1360	139	5	study	study	NOUN
cana-1360	139	6	leverages	leverage	VERB
cana-1360	139	7	a	a	DET
cana-1360	139	8	scatter	scatter	NOUN
cana-1360	139	9	plot	plot	NOUN
cana-1360	139	10	,	,	PUNCT
cana-1360	139	11	visualized	visualize	VERB
cana-1360	139	12	in	in	ADP
cana-1360	139	13	the	the	DET
cana-1360	139	14	top	top	ADJ
cana-1360	139	15	portion	portion	NOUN
cana-1360	139	16	of	of	ADP
cana-1360	139	17	figure	figure	NOUN
cana-1360	139	18	2	2	NUM
cana-1360	139	19	,	,	PUNCT
cana-1360	139	20	to	to	PART
cana-1360	139	21	depict	depict	VERB
cana-1360	139	22	the	the	DET
cana-1360	139	23	distribution	distribution	NOUN
cana-1360	139	24	of	of	ADP
cana-1360	139	25	fault	fault	NOUN
cana-1360	139	26	cycles	cycle	NOUN
cana-1360	139	27	across	across	ADP
cana-1360	139	28	engine	engine	NOUN
cana-1360	139	29	units	unit	NOUN
cana-1360	139	30	.	.	PUNCT
cana-1360	140	1	each	each	DET
cana-1360	140	2	data	datum	NOUN
cana-1360	140	3	point	point	VERB
cana-1360	140	4	on	on	ADP
cana-1360	140	5	the	the	DET
cana-1360	140	6	scatter	scatter	NOUN
cana-1360	140	7	plot	plot	NOUN
cana-1360	140	8	represents	represent	VERB
cana-1360	140	9	an	an	DET
cana-1360	140	10	individual	individual	ADJ
cana-1360	140	11	engine	engine	NOUN
cana-1360	140	12	,	,	PUNCT
cana-1360	140	13	with	with	ADP
cana-1360	140	14	the	the	DET
cana-1360	140	15	horizontal	horizontal	ADJ
cana-1360	140	16	axis	axis	NOUN
cana-1360	140	17	(	(	PUNCT
cana-1360	140	18	x	x	NOUN
cana-1360	140	19	-	-	NOUN
cana-1360	140	20	axis	axis	NOUN
cana-1360	140	21	)	)	PUNCT
cana-1360	140	22	indicating	indicate	VERB
cana-1360	140	23	the	the	DET
cana-1360	140	24	engine	engine	NOUN
cana-1360	140	25	unit	unit	NOUN
cana-1360	140	26	number	number	NOUN
cana-1360	140	27	and	and	CCONJ
cana-1360	140	28	the	the	DET
cana-1360	140	29	vertical	vertical	ADJ
cana-1360	140	30	axis	axis	NOUN
cana-1360	140	31	(	(	PUNCT
cana-1360	140	32	y	y	NOUN
cana-1360	140	33	-	-	PUNCT
cana-1360	140	34	axis	axis	NOUN
cana-1360	140	35	)	)	PUNCT
cana-1360	140	36	representing	represent	VERB
cana-1360	140	37	the	the	DET
cana-1360	140	38	corresponding	corresponding	ADJ
cana-1360	140	39	number	number	NOUN
cana-1360	140	40	of	of	ADP
cana-1360	140	41	fault	fault	NOUN
cana-1360	140	42	cycles	cycle	NOUN
cana-1360	140	43	.	.	PUNCT
cana-1360	141	1	this	this	DET
cana-1360	141	2	visualization	visualization	NOUN
cana-1360	141	3	allows	allow	VERB
cana-1360	141	4	us	we	PRON
cana-1360	141	5	to	to	PART
cana-1360	141	6	identify	identify	VERB
cana-1360	141	7	any	any	DET
cana-1360	141	8	patterns	pattern	NOUN
cana-1360	141	9	or	or	CCONJ
cana-1360	141	10	trends	trend	NOUN
cana-1360	141	11	in	in	ADP
cana-1360	141	12	how	how	SCONJ
cana-1360	141	13	fault	fault	NOUN
cana-1360	141	14	cycles	cycle	NOUN
cana-1360	141	15	vary	vary	VERB
cana-1360	141	16	among	among	ADP
cana-1360	141	17	the	the	DET
cana-1360	141	18	different	different	ADJ
cana-1360	141	19	engine	engine	NOUN
cana-1360	141	20	units	unit	NOUN
cana-1360	141	21	.	.	PUNCT
cana-1360	142	1	fig	fig	NOUN
cana-1360	142	2	2	2	NUM
cana-1360	142	3	:	:	PUNCT
cana-1360	142	4	distribution	distribution	NOUN
cana-1360	142	5	of	of	ADP
cana-1360	142	6	the	the	DET
cana-1360	142	7	number	number	NOUN
cana-1360	142	8	of	of	ADP
cana-1360	142	9	fault	fault	NOUN
cana-1360	142	10	cycles	cycle	NOUN
cana-1360	142	11	across	across	ADP
cana-1360	142	12	different	different	ADJ
cana-1360	142	13	engine	engine	NOUN
cana-1360	142	14	units	unit	NOUN
cana-1360	142	15	the	the	DET
cana-1360	142	16	bottom	bottom	ADJ
cana-1360	142	17	portion	portion	NOUN
cana-1360	142	18	of	of	ADP
cana-1360	142	19	figure	figure	NOUN
cana-1360	142	20	3	3	NUM
cana-1360	142	21	displays	display	VERB
cana-1360	142	22	a	a	DET
cana-1360	142	23	histogram	histogram	NOUN
cana-1360	142	24	visualizing	visualize	VERB
cana-1360	142	25	the	the	DET
cana-1360	142	26	distribution	distribution	NOUN
cana-1360	142	27	of	of	ADP
cana-1360	142	28	fault	fault	NOUN
cana-1360	142	29	cycles	cycle	NOUN
cana-1360	142	30	across	across	ADP
cana-1360	142	31	all	all	DET
cana-1360	142	32	engine	engine	NOUN
cana-1360	142	33	units	unit	NOUN
cana-1360	142	34	.	.	PUNCT
cana-1360	143	1	the	the	DET
cana-1360	143	2	horizontal	horizontal	ADJ
cana-1360	143	3	axis	axis	NOUN
cana-1360	143	4	(	(	PUNCT
cana-1360	143	5	x	x	NOUN
cana-1360	143	6	-	-	NOUN
cana-1360	143	7	axis	axis	NOUN
cana-1360	143	8	)	)	PUNCT
cana-1360	143	9	represents	represent	VERB
cana-1360	143	10	the	the	DET
cana-1360	143	11	number	number	NOUN
cana-1360	143	12	of	of	ADP
cana-1360	143	13	fault	fault	NOUN
cana-1360	143	14	cycles	cycle	NOUN
cana-1360	143	15	,	,	PUNCT
cana-1360	143	16	while	while	SCONJ
cana-1360	143	17	the	the	DET
cana-1360	143	18	vertical	vertical	ADJ
cana-1360	143	19	axis	axis	NOUN
cana-1360	143	20	(	(	PUNCT
cana-1360	143	21	y	y	NOUN
cana-1360	143	22	-	-	PUNCT
cana-1360	143	23	axis	axis	NOUN
cana-1360	143	24	)	)	PUNCT
cana-1360	143	25	shows	show	VERB
cana-1360	143	26	the	the	DET
cana-1360	143	27	number	number	NOUN
cana-1360	143	28	of	of	ADP
cana-1360	143	29	engine	engine	NOUN
cana-1360	143	30	units	unit	NOUN
cana-1360	143	31	within	within	ADP
cana-1360	143	32	each	each	DET
cana-1360	143	33	range	range	NOUN
cana-1360	143	34	(	(	PUNCT
cana-1360	143	35	bin	bin	NOUN
cana-1360	143	36	)	)	PUNCT
cana-1360	143	37	.	.	PUNCT
cana-1360	144	1	additionally	additionally	ADV
cana-1360	144	2	,	,	PUNCT
cana-1360	144	3	vertical	vertical	ADJ
cana-1360	144	4	dashed	dash	VERB
cana-1360	144	5	lines	line	NOUN
cana-1360	144	6	highlight	highlight	VERB
cana-1360	144	7	key	key	ADJ
cana-1360	144	8	statistical	statistical	ADJ
cana-1360	144	9	measures	measure	NOUN
cana-1360	144	10	such	such	ADJ
cana-1360	144	11	as	as	ADP
cana-1360	144	12	the	the	DET
cana-1360	144	13	minimum	minimum	ADJ
cana-1360	144	14	,	,	PUNCT
cana-1360	144	15	average	average	ADJ
cana-1360	144	16	,	,	PUNCT
cana-1360	144	17	and	and	CCONJ
cana-1360	144	18	maximum	maximum	ADJ
cana-1360	144	19	number	number	NOUN
cana-1360	144	20	of	of	ADP
cana-1360	144	21	fault	fault	NOUN
cana-1360	144	22	cycles	cycle	NOUN
cana-1360	144	23	.	.	PUNCT
cana-1360	145	1	these	these	DET
cana-1360	145	2	lines	line	NOUN
cana-1360	145	3	provide	provide	VERB
cana-1360	145	4	insights	insight	NOUN
cana-1360	145	5	into	into	ADP
cana-1360	145	6	the	the	DET
cana-1360	145	7	center	center	NOUN
cana-1360	145	8	point	point	NOUN
cana-1360	145	9	(	(	PUNCT
cana-1360	145	10	central	central	ADJ
cana-1360	145	11	tendency	tendency	NOUN
cana-1360	145	12	)	)	PUNCT
cana-1360	145	13	and	and	CCONJ
cana-1360	145	14	the	the	DET
cana-1360	145	15	spread	spread	NOUN
cana-1360	145	16	(	(	PUNCT
cana-1360	145	17	variability	variability	NOUN
cana-1360	145	18	)	)	PUNCT
cana-1360	145	19	of	of	ADP
cana-1360	145	20	the	the	DET
cana-1360	145	21	distribution	distribution	NOUN
cana-1360	145	22	.	.	PUNCT
cana-1360	146	1	communications	communication	NOUN
cana-1360	146	2	on	on	ADP
cana-1360	146	3	applied	apply	VERB
cana-1360	146	4	nonlinear	nonlinear	ADJ
cana-1360	146	5	analysis	analysis	NOUN
cana-1360	146	6	issn	issn	NOUN
cana-1360	146	7	:	:	PUNCT
cana-1360	146	8	1074	1074	NUM
cana-1360	146	9	-	-	PUNCT
cana-1360	146	10	133x	133x	NUM
cana-1360	146	11	vol	vol	NOUN
cana-1360	146	12	31	31	NUM
cana-1360	146	13	no	no	NOUN
cana-1360	146	14	.	.	PUNCT
cana-1360	147	1	6s	6s	NUM
cana-1360	147	2	(	(	PUNCT
cana-1360	147	3	2024	2024	NUM
cana-1360	147	4	)	)	PUNCT
cana-1360	147	5	736	736	NUM
cana-1360	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	147	7	fig	fig	NOUN
cana-1360	147	8	3	3	NUM
cana-1360	147	9	:	:	PUNCT
cana-1360	147	10	distribution	distribution	NOUN
cana-1360	147	11	of	of	ADP
cana-1360	147	12	the	the	DET
cana-1360	147	13	number	number	NOUN
cana-1360	147	14	of	of	ADP
cana-1360	147	15	fault	fault	NOUN
cana-1360	147	16	cycles	cycle	NOUN
cana-1360	147	17	across	across	ADP
cana-1360	147	18	all	all	DET
cana-1360	147	19	engine	engine	NOUN
cana-1360	147	20	units	unit	NOUN
cana-1360	147	21	figure	figure	VERB
cana-1360	147	22	4	4	NUM
cana-1360	147	23	visualizes	visualize	VERB
cana-1360	147	24	the	the	DET
cana-1360	147	25	distribution	distribution	NOUN
cana-1360	147	26	of	of	ADP
cana-1360	147	27	rul	rul	NOUN
cana-1360	147	28	values	value	NOUN
cana-1360	147	29	within	within	ADP
cana-1360	147	30	the	the	DET
cana-1360	147	31	training	training	NOUN
cana-1360	147	32	and	and	CCONJ
cana-1360	147	33	testing	testing	NOUN
cana-1360	147	34	sets	set	NOUN
cana-1360	147	35	.	.	PUNCT
cana-1360	148	1	the	the	DET
cana-1360	148	2	training	training	NOUN
cana-1360	148	3	set	set	NOUN
cana-1360	148	4	exhibits	exhibit	VERB
cana-1360	148	5	a	a	DET
cana-1360	148	6	wider	wide	ADJ
cana-1360	148	7	spread	spread	NOUN
cana-1360	148	8	of	of	ADP
cana-1360	148	9	rul	rul	NOUN
cana-1360	148	10	values	value	NOUN
cana-1360	148	11	,	,	PUNCT
cana-1360	148	12	indicating	indicate	VERB
cana-1360	148	13	a	a	DET
cana-1360	148	14	variety	variety	NOUN
cana-1360	148	15	of	of	ADP
cana-1360	148	16	degradation	degradation	NOUN
cana-1360	148	17	patterns	pattern	NOUN
cana-1360	148	18	and	and	CCONJ
cana-1360	148	19	life	life	NOUN
cana-1360	148	20	spans	span	NOUN
cana-1360	148	21	across	across	ADP
cana-1360	148	22	the	the	DET
cana-1360	148	23	components	component	NOUN
cana-1360	148	24	.	.	PUNCT
cana-1360	149	1	this	this	DET
cana-1360	149	2	distribution	distribution	NOUN
cana-1360	149	3	likely	likely	ADV
cana-1360	149	4	leans	lean	VERB
cana-1360	149	5	towards	towards	ADP
cana-1360	149	6	lower	low	ADJ
cana-1360	149	7	rul	rul	NOUN
cana-1360	149	8	values	value	NOUN
cana-1360	149	9	,	,	PUNCT
cana-1360	149	10	suggesting	suggest	VERB
cana-1360	149	11	a	a	DET
cana-1360	149	12	higher	high	ADJ
cana-1360	149	13	concentration	concentration	NOUN
cana-1360	149	14	of	of	ADP
cana-1360	149	15	components	component	NOUN
cana-1360	149	16	nearing	near	VERB
cana-1360	149	17	failure	failure	NOUN
cana-1360	149	18	.	.	PUNCT
cana-1360	150	1	in	in	ADP
cana-1360	150	2	contrast	contrast	NOUN
cana-1360	150	3	,	,	PUNCT
cana-1360	150	4	the	the	DET
cana-1360	150	5	test	test	NOUN
cana-1360	150	6	set	set	NOUN
cana-1360	150	7	might	might	AUX
cana-1360	150	8	display	display	VERB
cana-1360	150	9	a	a	DET
cana-1360	150	10	more	more	ADV
cana-1360	150	11	concentrated	concentrated	ADJ
cana-1360	150	12	distribution	distribution	NOUN
cana-1360	150	13	of	of	ADP
cana-1360	150	14	rul	rul	NOUN
cana-1360	150	15	values	value	NOUN
cana-1360	150	16	,	,	PUNCT
cana-1360	150	17	potentially	potentially	ADV
cana-1360	150	18	clustered	cluster	VERB
cana-1360	150	19	around	around	ADP
cana-1360	150	20	mid	mid	NOUN
cana-1360	150	21	-	-	NOUN
cana-1360	150	22	range	range	NOUN
cana-1360	150	23	or	or	CCONJ
cana-1360	150	24	lower	low	ADJ
cana-1360	150	25	values	value	NOUN
cana-1360	150	26	.	.	PUNCT
cana-1360	151	1	this	this	PRON
cana-1360	151	2	reflects	reflect	VERB
cana-1360	151	3	the	the	DET
cana-1360	151	4	real	real	ADJ
cana-1360	151	5	-	-	PUNCT
cana-1360	151	6	world	world	NOUN
cana-1360	151	7	scenarios	scenario	NOUN
cana-1360	151	8	the	the	DET
cana-1360	151	9	model	model	NOUN
cana-1360	151	10	aims	aim	VERB
cana-1360	151	11	to	to	PART
cana-1360	151	12	predict	predict	VERB
cana-1360	151	13	.	.	PUNCT
cana-1360	152	1	this	this	DET
cana-1360	152	2	distinction	distinction	NOUN
cana-1360	152	3	ensures	ensure	VERB
cana-1360	152	4	the	the	DET
cana-1360	152	5	model	model	NOUN
cana-1360	152	6	encounters	encounter	VERB
cana-1360	152	7	diverse	diverse	ADJ
cana-1360	152	8	failure	failure	NOUN
cana-1360	152	9	patterns	pattern	NOUN
cana-1360	152	10	during	during	ADP
cana-1360	152	11	training	training	NOUN
cana-1360	152	12	,	,	PUNCT
cana-1360	152	13	ultimately	ultimately	ADV
cana-1360	152	14	enhancing	enhance	VERB
cana-1360	152	15	its	its	PRON
cana-1360	152	16	robustness	robustness	NOUN
cana-1360	152	17	and	and	CCONJ
cana-1360	152	18	accuracy	accuracy	NOUN
cana-1360	152	19	in	in	ADP
cana-1360	152	20	predicting	predict	VERB
cana-1360	152	21	rul	rul	NOUN
cana-1360	152	22	for	for	ADP
cana-1360	152	23	the	the	DET
cana-1360	152	24	unseen	unseen	ADJ
cana-1360	152	25	test	test	NOUN
cana-1360	152	26	data	datum	NOUN
cana-1360	152	27	.	.	PUNCT
cana-1360	153	1	fig	fig	NOUN
cana-1360	153	2	4	4	NUM
cana-1360	153	3	:	:	PUNCT
cana-1360	153	4	distribution	distribution	NOUN
cana-1360	153	5	of	of	ADP
cana-1360	153	6	ruls	rul	NOUN
cana-1360	153	7	for	for	ADP
cana-1360	153	8	train	train	NOUN
cana-1360	153	9	and	and	CCONJ
cana-1360	153	10	test	test	NOUN
cana-1360	153	11	sets	set	VERB
cana-1360	153	12	fig	fig	NOUN
cana-1360	153	13	5	5	NUM
cana-1360	153	14	&	&	CCONJ
cana-1360	153	15	fig	fig	PROPN
cana-1360	153	16	6	6	NUM
cana-1360	153	17	shows	show	VERB
cana-1360	153	18	actual	actual	ADJ
cana-1360	153	19	vs	vs	ADP
cana-1360	153	20	predicted	predict	VERB
cana-1360	153	21	rul	rul	NOUN
cana-1360	153	22	for	for	ADP
cana-1360	153	23	test	test	NOUN
cana-1360	153	24	set	set	VERB
cana-1360	153	25	with	with	ADP
cana-1360	153	26	linear	linear	ADJ
cana-1360	153	27	regression	regression	NOUN
cana-1360	153	28	&	&	CCONJ
cana-1360	153	29	random	random	ADJ
cana-1360	153	30	forest	forest	NOUN
cana-1360	153	31	respectively	respectively	ADV
cana-1360	153	32	.	.	PUNCT
cana-1360	154	1	a	a	DET
cana-1360	154	2	key	key	ADJ
cana-1360	154	3	assumption	assumption	NOUN
cana-1360	154	4	in	in	ADP
cana-1360	154	5	our	our	PRON
cana-1360	154	6	initial	initial	ADJ
cana-1360	154	7	approach	approach	NOUN
cana-1360	154	8	was	be	AUX
cana-1360	154	9	a	a	DET
cana-1360	154	10	linear	linear	ADJ
cana-1360	154	11	decrease	decrease	NOUN
cana-1360	154	12	in	in	ADP
cana-1360	154	13	rul	rul	NOUN
cana-1360	154	14	over	over	ADP
cana-1360	154	15	time	time	NOUN
cana-1360	154	16	.	.	PUNCT
cana-1360	155	1	however	however	ADV
cana-1360	155	2	,	,	PUNCT
cana-1360	155	3	upon	upon	SCONJ
cana-1360	155	4	closer	close	ADJ
cana-1360	155	5	inspection	inspection	NOUN
cana-1360	155	6	,	,	PUNCT
cana-1360	155	7	we	we	PRON
cana-1360	155	8	observed	observe	VERB
cana-1360	155	9	that	that	SCONJ
cana-1360	155	10	sensor	sensor	NOUN
cana-1360	155	11	readings	reading	NOUN
cana-1360	155	12	in	in	ADP
cana-1360	155	13	many	many	ADJ
cana-1360	155	14	cases	case	NOUN
cana-1360	155	15	remain	remain	VERB
cana-1360	155	16	constant	constant	ADJ
cana-1360	155	17	initially	initially	ADV
cana-1360	155	18	before	before	ADP
cana-1360	155	19	experiencing	experience	VERB
cana-1360	155	20	a	a	DET
cana-1360	155	21	sharp	sharp	ADJ
cana-1360	155	22	rise	rise	NOUN
cana-1360	155	23	or	or	CCONJ
cana-1360	155	24	fall	fall	VERB
cana-1360	155	25	.	.	PUNCT
cana-1360	156	1	this	this	DET
cana-1360	156	2	pattern	pattern	NOUN
cana-1360	156	3	aligns	align	VERB
cana-1360	156	4	with	with	ADP
cana-1360	156	5	the	the	DET
cana-1360	156	6	reality	reality	NOUN
cana-1360	156	7	of	of	ADP
cana-1360	156	8	engine	engine	NOUN
cana-1360	156	9	degradation	degradation	NOUN
cana-1360	156	10	,	,	PUNCT
cana-1360	156	11	which	which	PRON
cana-1360	156	12	typically	typically	ADV
cana-1360	156	13	progresses	progress	VERB
cana-1360	156	14	over	over	ADP
cana-1360	156	15	time	time	NOUN
cana-1360	156	16	.	.	PUNCT
cana-1360	157	1	the	the	DET
cana-1360	157	2	point	point	NOUN
cana-1360	157	3	where	where	SCONJ
cana-1360	157	4	the	the	DET
cana-1360	157	5	signal	signal	NOUN
cana-1360	157	6	curve	curve	NOUN
cana-1360	157	7	deviates	deviate	VERB
cana-1360	157	8	from	from	ADP
cana-1360	157	9	its	its	PRON
cana-1360	157	10	initial	initial	ADJ
cana-1360	157	11	constancy	constancy	NOUN
cana-1360	157	12	is	be	AUX
cana-1360	157	13	the	the	DET
cana-1360	157	14	first	first	ADJ
cana-1360	157	15	indication	indication	NOUN
cana-1360	157	16	of	of	ADP
cana-1360	157	17	engine	engine	NOUN
cana-1360	157	18	deterioration	deterioration	NOUN
cana-1360	157	19	.	.	PUNCT
cana-1360	158	1	from	from	ADP
cana-1360	158	2	this	this	DET
cana-1360	158	3	point	point	NOUN
cana-1360	158	4	onward	onward	ADV
cana-1360	158	5	,	,	PUNCT
cana-1360	158	6	assuming	assume	VERB
cana-1360	158	7	a	a	DET
cana-1360	158	8	linear	linear	ADJ
cana-1360	158	9	decline	decline	NOUN
cana-1360	158	10	in	in	ADP
cana-1360	158	11	rul	rul	NOUN
cana-1360	158	12	becomes	become	VERB
cana-1360	158	13	more	more	ADV
cana-1360	158	14	justifiable	justifiable	ADJ
cana-1360	158	15	.	.	PUNCT
cana-1360	159	1	prior	prior	ADV
cana-1360	159	2	to	to	ADP
cana-1360	159	3	this	this	DET
cana-1360	159	4	inflection	inflection	NOUN
cana-1360	159	5	point	point	NOUN
cana-1360	159	6	,	,	PUNCT
cana-1360	159	7	accurate	accurate	ADJ
cana-1360	159	8	rul	rul	NOUN
cana-1360	159	9	assessment	assessment	NOUN
cana-1360	159	10	is	be	AUX
cana-1360	159	11	challenging	challenge	VERB
cana-1360	159	12	due	due	ADJ
cana-1360	159	13	to	to	ADP
cana-1360	159	14	the	the	DET
cana-1360	159	15	lack	lack	NOUN
cana-1360	159	16	of	of	ADP
cana-1360	159	17	information	information	NOUN
cana-1360	159	18	about	about	ADP
cana-1360	159	19	initial	initial	ADJ
cana-1360	159	20	wear	wear	NOUN
cana-1360	159	21	and	and	CCONJ
cana-1360	159	22	tear	tear	ADJ
cana-1360	159	23	.	.	PUNCT
cana-1360	160	1	figures	figure	NOUN
cana-1360	160	2	7	7	NUM
cana-1360	160	3	and	and	CCONJ
cana-1360	160	4	8	8	NUM
cana-1360	160	5	illustrate	illustrate	VERB
cana-1360	160	6	the	the	DET
cana-1360	160	7	comparison	comparison	NOUN
cana-1360	160	8	of	of	ADP
cana-1360	160	9	actual	actual	ADJ
cana-1360	160	10	versus	versus	ADP
cana-1360	160	11	predicted	predict	VERB
cana-1360	160	12	rul	rul	NOUN
cana-1360	160	13	for	for	ADP
cana-1360	160	14	the	the	DET
cana-1360	160	15	test	test	NOUN
cana-1360	160	16	set	set	VERB
cana-1360	160	17	using	use	VERB
cana-1360	160	18	the	the	DET
cana-1360	160	19	improved	improve	VERB
cana-1360	160	20	linear	linear	NOUN
cana-1360	160	21	regression	regression	NOUN
cana-1360	160	22	and	and	CCONJ
cana-1360	160	23	improved	improve	VERB
cana-1360	160	24	random	random	ADJ
cana-1360	160	25	forest	forest	NOUN
cana-1360	160	26	models	model	NOUN
cana-1360	160	27	,	,	PUNCT
cana-1360	160	28	respectively	respectively	ADV
cana-1360	160	29	.	.	PUNCT
cana-1360	161	1	communications	communication	NOUN
cana-1360	161	2	on	on	ADP
cana-1360	161	3	applied	apply	VERB
cana-1360	161	4	nonlinear	nonlinear	ADJ
cana-1360	161	5	analysis	analysis	NOUN
cana-1360	161	6	issn	issn	NOUN
cana-1360	161	7	:	:	PUNCT
cana-1360	161	8	1074	1074	NUM
cana-1360	161	9	-	-	PUNCT
cana-1360	161	10	133x	133x	NUM
cana-1360	161	11	vol	vol	NOUN
cana-1360	161	12	31	31	NUM
cana-1360	161	13	no	no	NOUN
cana-1360	161	14	.	.	PUNCT
cana-1360	162	1	6s	6s	NUM
cana-1360	162	2	(	(	PUNCT
cana-1360	162	3	2024	2024	NUM
cana-1360	162	4	)	)	PUNCT
cana-1360	162	5	737	737	NUM
cana-1360	162	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	162	7	fig	fig	NOUN
cana-1360	162	8	5	5	NUM
cana-1360	162	9	:	:	PUNCT
cana-1360	162	10	linear	linear	ADJ
cana-1360	162	11	regression	regression	NOUN
cana-1360	162	12	fig	fig	NOUN
cana-1360	162	13	6	6	NUM
cana-1360	162	14	:	:	PUNCT
cana-1360	162	15	random	random	ADJ
cana-1360	162	16	forest	forest	NOUN
cana-1360	162	17	fig	fig	NOUN
cana-1360	162	18	7	7	NUM
cana-1360	162	19	:	:	PUNCT
cana-1360	162	20	improved	improve	VERB
cana-1360	162	21	linear	linear	PROPN
cana-1360	162	22	regression	regression	NOUN
cana-1360	162	23	fig	fig	NOUN
cana-1360	162	24	8	8	NUM
cana-1360	162	25	:	:	PUNCT
cana-1360	162	26	improved	improve	VERB
cana-1360	162	27	random	random	ADJ
cana-1360	162	28	forest	forest	NOUN
cana-1360	162	29	communications	communication	NOUN
cana-1360	162	30	on	on	ADP
cana-1360	162	31	applied	apply	VERB
cana-1360	162	32	nonlinear	nonlinear	ADJ
cana-1360	162	33	analysis	analysis	NOUN
cana-1360	162	34	issn	issn	NOUN
cana-1360	162	35	:	:	PUNCT
cana-1360	162	36	1074	1074	NUM
cana-1360	162	37	-	-	PUNCT
cana-1360	162	38	133x	133x	NUM
cana-1360	162	39	vol	vol	NOUN
cana-1360	162	40	31	31	NUM
cana-1360	162	41	no	no	NOUN
cana-1360	162	42	.	.	PUNCT
cana-1360	163	1	6s	6s	NUM
cana-1360	163	2	(	(	PUNCT
cana-1360	163	3	2024	2024	NUM
cana-1360	163	4	)	)	PUNCT
cana-1360	163	5	738	738	NUM
cana-1360	163	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	163	7	the	the	DET
cana-1360	163	8	cox	cox	PROPN
cana-1360	163	9	proportional	proportional	PROPN
cana-1360	163	10	hazards	hazard	NOUN
cana-1360	163	11	model	model	NOUN
cana-1360	163	12	is	be	AUX
cana-1360	163	13	a	a	DET
cana-1360	163	14	widely	widely	ADV
cana-1360	163	15	used	use	VERB
cana-1360	163	16	statistical	statistical	ADJ
cana-1360	163	17	technique	technique	NOUN
cana-1360	163	18	in	in	ADP
cana-1360	163	19	survival	survival	NOUN
cana-1360	163	20	analysis	analysis	NOUN
cana-1360	163	21	for	for	ADP
cana-1360	163	22	investigating	investigate	VERB
cana-1360	163	23	the	the	DET
cana-1360	163	24	relationship	relationship	NOUN
cana-1360	163	25	between	between	ADP
cana-1360	163	26	the	the	DET
cana-1360	163	27	survival	survival	NOUN
cana-1360	163	28	time	time	NOUN
cana-1360	163	29	of	of	ADP
cana-1360	163	30	subjects	subject	NOUN
cana-1360	163	31	and	and	CCONJ
cana-1360	163	32	one	one	NUM
cana-1360	163	33	or	or	CCONJ
cana-1360	163	34	more	more	ADJ
cana-1360	163	35	predictor	predictor	NOUN
cana-1360	163	36	variables	variable	NOUN
cana-1360	163	37	as	as	SCONJ
cana-1360	163	38	shown	show	VERB
cana-1360	163	39	in	in	ADP
cana-1360	163	40	fig	fig	NOUN
cana-1360	163	41	9	9	NUM
cana-1360	163	42	.	.	PUNCT
cana-1360	164	1	unlike	unlike	ADP
cana-1360	164	2	other	other	ADJ
cana-1360	164	3	models	model	NOUN
cana-1360	164	4	,	,	PUNCT
cana-1360	164	5	it	it	PRON
cana-1360	164	6	does	do	AUX
cana-1360	164	7	not	not	PART
cana-1360	164	8	assume	assume	VERB
cana-1360	164	9	a	a	DET
cana-1360	164	10	specific	specific	ADJ
cana-1360	164	11	baseline	baseline	NOUN
cana-1360	164	12	hazard	hazard	NOUN
cana-1360	164	13	function	function	NOUN
cana-1360	164	14	,	,	PUNCT
cana-1360	164	15	making	make	VERB
cana-1360	164	16	it	it	PRON
cana-1360	164	17	semi	semi	ADJ
cana-1360	164	18	-	-	ADJ
cana-1360	164	19	parametric	parametric	ADJ
cana-1360	164	20	.	.	PUNCT
cana-1360	165	1	the	the	DET
cana-1360	165	2	cox	cox	PROPN
cana-1360	165	3	proportional	proportional	PROPN
cana-1360	165	4	hazards	hazard	NOUN
cana-1360	165	5	model	model	NOUN
cana-1360	165	6	offers	offer	VERB
cana-1360	165	7	remarkable	remarkable	ADJ
cana-1360	165	8	adaptability	adaptability	NOUN
cana-1360	165	9	,	,	PUNCT
cana-1360	165	10	effectively	effectively	ADV
cana-1360	165	11	handling	handle	VERB
cana-1360	165	12	diverse	diverse	ADJ
cana-1360	165	13	survival	survival	NOUN
cana-1360	165	14	data	datum	NOUN
cana-1360	165	15	.	.	PUNCT
cana-1360	166	1	this	this	DET
cana-1360	166	2	model	model	NOUN
cana-1360	166	3	centers	center	NOUN
cana-1360	166	4	around	around	ADP
cana-1360	166	5	the	the	DET
cana-1360	166	6	concept	concept	NOUN
cana-1360	166	7	of	of	ADP
cana-1360	166	8	a	a	DET
cana-1360	166	9	hazard	hazard	NOUN
cana-1360	166	10	function	function	NOUN
cana-1360	166	11	.	.	PUNCT
cana-1360	167	1	this	this	DET
cana-1360	167	2	function	function	NOUN
cana-1360	167	3	describes	describe	VERB
cana-1360	167	4	the	the	DET
cana-1360	167	5	instantaneous	instantaneous	ADJ
cana-1360	167	6	risk	risk	NOUN
cana-1360	167	7	of	of	ADP
cana-1360	167	8	an	an	DET
cana-1360	167	9	event	event	NOUN
cana-1360	167	10	happening	happen	VERB
cana-1360	167	11	at	at	ADP
cana-1360	167	12	a	a	DET
cana-1360	167	13	specific	specific	ADJ
cana-1360	167	14	time	time	NOUN
cana-1360	167	15	,	,	PUNCT
cana-1360	167	16	considering	consider	VERB
cana-1360	167	17	it	it	PRON
cana-1360	167	18	has	have	AUX
cana-1360	167	19	n't	not	PART
cana-1360	167	20	happened	happen	VERB
cana-1360	167	21	yet	yet	ADV
cana-1360	167	22	.	.	PUNCT
cana-1360	168	1	the	the	DET
cana-1360	168	2	model	model	NOUN
cana-1360	168	3	assumes	assume	VERB
cana-1360	168	4	this	this	DET
cana-1360	168	5	hazard	hazard	NOUN
cana-1360	168	6	is	be	AUX
cana-1360	168	7	a	a	DET
cana-1360	168	8	combination	combination	NOUN
cana-1360	168	9	of	of	ADP
cana-1360	168	10	a	a	DET
cana-1360	168	11	baseline	baseline	ADJ
cana-1360	168	12	hazard	hazard	NOUN
cana-1360	168	13	and	and	CCONJ
cana-1360	168	14	an	an	DET
cana-1360	168	15	exponential	exponential	ADJ
cana-1360	168	16	function	function	NOUN
cana-1360	168	17	of	of	ADP
cana-1360	168	18	the	the	DET
cana-1360	168	19	covariates	covariate	NOUN
cana-1360	168	20	.	.	PUNCT
cana-1360	169	1	this	this	PRON
cana-1360	169	2	enables	enable	VERB
cana-1360	169	3	the	the	DET
cana-1360	169	4	cox	cox	PROPN
cana-1360	169	5	model	model	NOUN
cana-1360	169	6	to	to	PART
cana-1360	169	7	evaluate	evaluate	VERB
cana-1360	169	8	how	how	SCONJ
cana-1360	169	9	various	various	ADJ
cana-1360	169	10	factors	factor	NOUN
cana-1360	169	11	influence	influence	VERB
cana-1360	169	12	the	the	DET
cana-1360	169	13	survival	survival	NOUN
cana-1360	169	14	rate	rate	NOUN
cana-1360	169	15	,	,	PUNCT
cana-1360	169	16	providing	provide	VERB
cana-1360	169	17	valuable	valuable	ADJ
cana-1360	169	18	insights	insight	NOUN
cana-1360	169	19	into	into	ADP
cana-1360	169	20	which	which	PRON
cana-1360	169	21	variables	variable	NOUN
cana-1360	169	22	significantly	significantly	ADV
cana-1360	169	23	impact	impact	VERB
cana-1360	169	24	the	the	DET
cana-1360	169	25	time	time	NOUN
cana-1360	169	26	until	until	SCONJ
cana-1360	169	27	the	the	DET
cana-1360	169	28	event	event	NOUN
cana-1360	169	29	of	of	ADP
cana-1360	169	30	interest	interest	NOUN
cana-1360	169	31	occurs	occur	VERB
cana-1360	169	32	,	,	PUNCT
cana-1360	169	33	such	such	ADJ
cana-1360	169	34	as	as	ADP
cana-1360	169	35	engine	engine	NOUN
cana-1360	169	36	failure	failure	NOUN
cana-1360	169	37	or	or	CCONJ
cana-1360	169	38	disease	disease	NOUN
cana-1360	169	39	onset	onset	VERB
cana-1360	169	40	.	.	PUNCT
cana-1360	170	1	fig	fig	NOUN
cana-1360	170	2	9	9	NUM
cana-1360	170	3	:	:	PUNCT
cana-1360	170	4	cox	cox	PROPN
cana-1360	170	5	proportional	proportional	PROPN
cana-1360	170	6	hazards	hazard	NOUN
cana-1360	170	7	models	model	NOUN
cana-1360	170	8	table	table	VERB
cana-1360	170	9	1	1	NUM
cana-1360	170	10	showcases	showcase	VERB
cana-1360	170	11	the	the	DET
cana-1360	170	12	performance	performance	NOUN
cana-1360	170	13	metrics	metric	NOUN
cana-1360	170	14	for	for	ADP
cana-1360	170	15	the	the	DET
cana-1360	170	16	models	model	NOUN
cana-1360	170	17	,	,	PUNCT
cana-1360	170	18	enabling	enable	VERB
cana-1360	170	19	a	a	DET
cana-1360	170	20	clear	clear	ADJ
cana-1360	170	21	comparison	comparison	NOUN
cana-1360	170	22	of	of	ADP
cana-1360	170	23	their	their	PRON
cana-1360	170	24	effectiveness	effectiveness	NOUN
cana-1360	170	25	in	in	ADP
cana-1360	170	26	rul	rul	NOUN
cana-1360	170	27	prediction	prediction	NOUN
cana-1360	170	28	.	.	PUNCT
cana-1360	171	1	the	the	DET
cana-1360	171	2	basic	basic	ADJ
cana-1360	171	3	linear	linear	PROPN
cana-1360	171	4	regression	regression	NOUN
cana-1360	171	5	model	model	NOUN
cana-1360	171	6	serves	serve	VERB
cana-1360	171	7	as	as	ADP
cana-1360	171	8	a	a	DET
cana-1360	171	9	benchmark	benchmark	NOUN
cana-1360	171	10	,	,	PUNCT
cana-1360	171	11	but	but	CCONJ
cana-1360	171	12	more	more	ADV
cana-1360	171	13	intricate	intricate	ADJ
cana-1360	171	14	approaches	approach	NOUN
cana-1360	171	15	often	often	ADV
cana-1360	171	16	surpass	surpass	VERB
cana-1360	171	17	its	its	PRON
cana-1360	171	18	performance	performance	NOUN
cana-1360	171	19	.	.	PUNCT
cana-1360	172	1	the	the	DET
cana-1360	172	2	random	random	ADJ
cana-1360	172	3	forest	forest	NOUN
cana-1360	172	4	model	model	NOUN
cana-1360	172	5	,	,	PUNCT
cana-1360	172	6	leveraging	leverage	VERB
cana-1360	172	7	an	an	DET
cana-1360	172	8	ensemble	ensemble	ADJ
cana-1360	172	9	approach	approach	NOUN
cana-1360	172	10	,	,	PUNCT
cana-1360	172	11	typically	typically	ADV
cana-1360	172	12	achieves	achieve	VERB
cana-1360	172	13	higher	high	ADJ
cana-1360	172	14	accuracy	accuracy	NOUN
cana-1360	172	15	and	and	CCONJ
cana-1360	172	16	robustness	robustness	NOUN
cana-1360	172	17	by	by	ADP
cana-1360	172	18	effectively	effectively	ADV
cana-1360	172	19	capturing	capture	VERB
cana-1360	172	20	nonlinear	nonlinear	ADJ
cana-1360	172	21	patterns	pattern	NOUN
cana-1360	172	22	within	within	ADP
cana-1360	172	23	the	the	DET
cana-1360	172	24	data	datum	NOUN
cana-1360	172	25	.	.	PUNCT
cana-1360	173	1	the	the	DET
cana-1360	173	2	improved	improve	VERB
cana-1360	173	3	linear	linear	PROPN
cana-1360	173	4	regression	regression	NOUN
cana-1360	173	5	model	model	NOUN
cana-1360	173	6	,	,	PUNCT
cana-1360	173	7	likely	likely	ADV
cana-1360	173	8	incorporating	incorporate	VERB
cana-1360	173	9	additional	additional	ADJ
cana-1360	173	10	features	feature	NOUN
cana-1360	173	11	or	or	CCONJ
cana-1360	173	12	regularization	regularization	NOUN
cana-1360	173	13	methods	method	NOUN
cana-1360	173	14	,	,	PUNCT
cana-1360	173	15	demonstrates	demonstrate	VERB
cana-1360	173	16	a	a	DET
cana-1360	173	17	significant	significant	ADJ
cana-1360	173	18	improvement	improvement	NOUN
cana-1360	173	19	over	over	ADP
cana-1360	173	20	the	the	DET
cana-1360	173	21	standard	standard	ADJ
cana-1360	173	22	version	version	NOUN
cana-1360	173	23	by	by	ADP
cana-1360	173	24	reducing	reduce	VERB
cana-1360	173	25	prediction	prediction	NOUN
cana-1360	173	26	errors	error	NOUN
cana-1360	173	27	.	.	PUNCT
cana-1360	174	1	likewise	likewise	ADV
cana-1360	174	2	,	,	PUNCT
cana-1360	174	3	the	the	DET
cana-1360	174	4	improved	improve	VERB
cana-1360	174	5	random	random	ADJ
cana-1360	174	6	forest	forest	NOUN
cana-1360	174	7	model	model	NOUN
cana-1360	174	8	,	,	PUNCT
cana-1360	174	9	potentially	potentially	ADV
cana-1360	174	10	optimized	optimize	VERB
cana-1360	174	11	through	through	ADP
cana-1360	174	12	hyper	hyper	ADJ
cana-1360	174	13	parameters	parameter	NOUN
cana-1360	174	14	tuning	tune	VERB
cana-1360	174	15	or	or	CCONJ
cana-1360	174	16	feature	feature	NOUN
cana-1360	174	17	engineering	engineering	NOUN
cana-1360	174	18	,	,	PUNCT
cana-1360	174	19	exhibits	exhibit	VERB
cana-1360	174	20	superior	superior	ADJ
cana-1360	174	21	performance	performance	NOUN
cana-1360	174	22	compared	compare	VERB
cana-1360	174	23	to	to	ADP
cana-1360	174	24	its	its	PRON
cana-1360	174	25	base	base	NOUN
cana-1360	174	26	counterpart	counterpart	NOUN
cana-1360	174	27	.	.	PUNCT
cana-1360	175	1	finally	finally	ADV
cana-1360	175	2	,	,	PUNCT
cana-1360	175	3	the	the	DET
cana-1360	175	4	cox	cox	PROPN
cana-1360	175	5	proportional	proportional	PROPN
cana-1360	175	6	hazards	hazard	NOUN
cana-1360	175	7	model	model	NOUN
cana-1360	175	8	,	,	PUNCT
cana-1360	175	9	suited	suit	VERB
cana-1360	175	10	for	for	ADP
cana-1360	175	11	analyzing	analyze	VERB
cana-1360	175	12	time	time	NOUN
cana-1360	175	13	-	-	PUNCT
cana-1360	175	14	to	to	ADP
cana-1360	175	15	-	-	PUNCT
cana-1360	175	16	event	event	NOUN
cana-1360	175	17	data	datum	NOUN
cana-1360	175	18	,	,	PUNCT
cana-1360	175	19	offers	offer	VERB
cana-1360	175	20	valuable	valuable	ADJ
cana-1360	175	21	insights	insight	NOUN
cana-1360	175	22	into	into	ADP
cana-1360	175	23	the	the	DET
cana-1360	175	24	factors	factor	NOUN
cana-1360	175	25	influencing	influence	VERB
cana-1360	175	26	rul	rul	NOUN
cana-1360	175	27	.	.	PUNCT
cana-1360	176	1	however	however	ADV
cana-1360	176	2	,	,	PUNCT
cana-1360	176	3	its	its	PRON
cana-1360	176	4	performance	performance	NOUN
cana-1360	176	5	can	can	AUX
cana-1360	176	6	vary	vary	VERB
cana-1360	176	7	depending	depend	VERB
cana-1360	176	8	on	on	ADP
cana-1360	176	9	dataset	dataset	ADJ
cana-1360	176	10	characteristics	characteristic	NOUN
cana-1360	176	11	and	and	CCONJ
cana-1360	176	12	hazard	hazard	NOUN
cana-1360	176	13	proportionality	proportionality	NOUN
cana-1360	176	14	assumptions	assumption	NOUN
cana-1360	176	15	.	.	PUNCT
cana-1360	177	1	overall	overall	ADV
cana-1360	177	2	,	,	PUNCT
cana-1360	177	3	the	the	DET
cana-1360	177	4	table	table	NOUN
cana-1360	177	5	emphasizes	emphasize	VERB
cana-1360	177	6	that	that	SCONJ
cana-1360	177	7	well	well	ADV
cana-1360	177	8	-	-	PUNCT
cana-1360	177	9	designed	design	VERB
cana-1360	177	10	and	and	CCONJ
cana-1360	177	11	well	well	ADV
cana-1360	177	12	-	-	PUNCT
cana-1360	177	13	tuned	tune	VERB
cana-1360	177	14	models	model	NOUN
cana-1360	177	15	consistently	consistently	ADV
cana-1360	177	16	yield	yield	VERB
cana-1360	177	17	more	more	ADV
cana-1360	177	18	accurate	accurate	ADJ
cana-1360	177	19	rul	rul	NOUN
cana-1360	177	20	predictions	prediction	NOUN
cana-1360	177	21	.	.	PUNCT
cana-1360	178	1	table	table	NOUN
cana-1360	178	2	1	1	NUM
cana-1360	178	3	:	:	PUNCT
cana-1360	178	4	performance	performance	NOUN
cana-1360	178	5	measure	measure	NOUN
cana-1360	178	6	for	for	ADP
cana-1360	178	7	models	model	NOUN
cana-1360	178	8	linear	linear	VERB
cana-1360	178	9	regression	regression	NOUN
cana-1360	178	10	random	random	ADJ
cana-1360	178	11	forest	forest	NOUN
cana-1360	178	12	improved	improve	VERB
cana-1360	178	13	linear	linear	PROPN
cana-1360	178	14	regression	regression	NOUN
cana-1360	178	15	improved	improve	VERB
cana-1360	178	16	random	random	ADJ
cana-1360	178	17	forest	forest	NOUN
cana-1360	178	18	cox	cox	PROPN
cana-1360	178	19	proportional	proportional	NOUN
cana-1360	178	20	hazards	hazard	NOUN
cana-1360	178	21	models	model	NOUN
cana-1360	178	22	train	train	VERB
cana-1360	178	23	rmse	rmse	NOUN
cana-1360	178	24	44.69	44.69	NUM
cana-1360	178	25	36.8	36.8	NUM
cana-1360	178	26	21.52	21.52	NUM
cana-1360	178	27	17.16	17.16	NUM
cana-1360	178	28	26.22	26.22	NUM
cana-1360	178	29	train	train	NOUN
cana-1360	178	30	mae	mae	PROPN
cana-1360	178	31	34.13	34.13	NUM
cana-1360	178	32	25.81	25.81	NUM
cana-1360	178	33	17.61	17.61	NUM
cana-1360	178	34	12.64	12.64	NUM
cana-1360	178	35	22.48	22.48	NUM
cana-1360	178	36	train	train	NOUN
cana-1360	178	37	r2	r2	NOUN
cana-1360	178	38	0.58	0.58	NUM
cana-1360	178	39	0.71	0.71	NUM
cana-1360	178	40	0.73	0.73	NUM
cana-1360	178	41	0.83	0.83	NUM
cana-1360	178	42	0.6	0.6	NUM
cana-1360	178	43	test	test	NOUN
cana-1360	178	44	32.2	32.2	NUM
cana-1360	178	45	32.33	32.33	NUM
cana-1360	178	46	22.07	22.07	NUM
cana-1360	178	47	18.53	18.53	NUM
cana-1360	178	48	26.61	26.61	NUM
cana-1360	178	49	communications	communication	NOUN
cana-1360	178	50	on	on	ADP
cana-1360	178	51	applied	apply	VERB
cana-1360	178	52	nonlinear	nonlinear	ADJ
cana-1360	178	53	analysis	analysis	NOUN
cana-1360	178	54	issn	issn	NOUN
cana-1360	178	55	:	:	PUNCT
cana-1360	178	56	1074	1074	NUM
cana-1360	178	57	-	-	PUNCT
cana-1360	178	58	133x	133x	NUM
cana-1360	178	59	vol	vol	NOUN
cana-1360	178	60	31	31	NUM
cana-1360	178	61	no	no	NOUN
cana-1360	178	62	.	.	PUNCT
cana-1360	179	1	6s	6s	NUM
cana-1360	179	2	(	(	PUNCT
cana-1360	179	3	2024	2024	NUM
cana-1360	179	4	)	)	PUNCT
cana-1360	179	5	739	739	NUM
cana-1360	179	6	https://internationalpubls.com	https://internationalpubls.com	PROPN
cana-1360	179	7	rmse	rmse	PROPN
cana-1360	179	8	test	test	NOUN
cana-1360	179	9	mae	mae	PROPN
cana-1360	179	10	25.64	25.64	NUM
cana-1360	179	11	23.98	23.98	NUM
cana-1360	179	12	17.79	17.79	NUM
cana-1360	179	13	13.64	13.64	NUM
cana-1360	179	14	23.08	23.08	NUM
cana-1360	179	15	test	test	NOUN
cana-1360	179	16	r2	r2	NOUN
cana-1360	179	17	0.4	0.4	NUM
cana-1360	179	18	0.39	0.39	NUM
cana-1360	179	19	0.72	0.72	NUM
cana-1360	179	20	0.8	0.8	NUM
cana-1360	179	21	0.59	0.59	NUM
cana-1360	179	22	this	this	DET
cana-1360	179	23	visualization	visualization	NOUN
cana-1360	179	24	offers	offer	VERB
cana-1360	179	25	a	a	DET
cana-1360	179	26	holistic	holistic	ADJ
cana-1360	179	27	view	view	NOUN
cana-1360	179	28	of	of	ADP
cana-1360	179	29	how	how	SCONJ
cana-1360	179	30	fault	fault	NOUN
cana-1360	179	31	cycles	cycle	NOUN
cana-1360	179	32	are	be	AUX
cana-1360	179	33	distributed	distribute	VERB
cana-1360	179	34	within	within	ADP
cana-1360	179	35	the	the	DET
cana-1360	179	36	dataset	dataset	NOUN
cana-1360	179	37	.	.	PUNCT
cana-1360	180	1	this	this	DET
cana-1360	180	2	comprehensive	comprehensive	ADJ
cana-1360	180	3	perspective	perspective	NOUN
cana-1360	180	4	empowers	empower	VERB
cana-1360	180	5	researchers	researcher	NOUN
cana-1360	180	6	to	to	PART
cana-1360	180	7	delve	delve	VERB
cana-1360	180	8	deeper	deeply	ADV
cana-1360	180	9	into	into	ADP
cana-1360	180	10	the	the	DET
cana-1360	180	11	engine	engine	NOUN
cana-1360	180	12	unit	unit	NOUN
cana-1360	180	13	performance	performance	NOUN
cana-1360	180	14	data	datum	NOUN
cana-1360	180	15	and	and	CCONJ
cana-1360	180	16	extract	extract	VERB
cana-1360	180	17	meaningful	meaningful	ADJ
cana-1360	180	18	insights	insight	NOUN
cana-1360	180	19	.	.	PUNCT
cana-1360	181	1	to	to	PART
cana-1360	181	2	evaluate	evaluate	VERB
cana-1360	181	3	the	the	DET
cana-1360	181	4	performance	performance	NOUN
cana-1360	181	5	of	of	ADP
cana-1360	181	6	various	various	ADJ
cana-1360	181	7	models	model	NOUN
cana-1360	181	8	,	,	PUNCT
cana-1360	181	9	this	this	DET
cana-1360	181	10	study	study	NOUN
cana-1360	181	11	compares	compare	VERB
cana-1360	181	12	linear	linear	PROPN
cana-1360	181	13	regression	regression	NOUN
cana-1360	181	14	,	,	PUNCT
cana-1360	181	15	random	random	ADJ
cana-1360	181	16	forest	forest	NOUN
cana-1360	181	17	,	,	PUNCT
cana-1360	181	18	their	their	PRON
cana-1360	181	19	improved	improved	ADJ
cana-1360	181	20	variants	variant	NOUN
cana-1360	181	21	,	,	PUNCT
cana-1360	181	22	and	and	CCONJ
cana-1360	181	23	the	the	DET
cana-1360	181	24	cox	cox	PROPN
cana-1360	181	25	proportional	proportional	PROPN
cana-1360	181	26	hazards	hazard	NOUN
cana-1360	181	27	model	model	NOUN
cana-1360	181	28	.	.	PUNCT
cana-1360	182	1	by	by	ADP
cana-1360	182	2	calculating	calculate	VERB
cana-1360	182	3	the	the	DET
cana-1360	182	4	root	root	NOUN
cana-1360	182	5	mean	mean	VERB
cana-1360	182	6	squared	square	VERB
cana-1360	182	7	error	error	NOUN
cana-1360	182	8	(	(	PUNCT
cana-1360	182	9	rmse	rmse	NOUN
cana-1360	182	10	)	)	PUNCT
cana-1360	182	11	,	,	PUNCT
cana-1360	182	12	mean	mean	VERB
cana-1360	182	13	absolute	absolute	ADJ
cana-1360	182	14	error	error	NOUN
cana-1360	182	15	(	(	PUNCT
cana-1360	182	16	mae	mae	PROPN
cana-1360	182	17	)	)	PUNCT
cana-1360	182	18	,	,	PUNCT
cana-1360	182	19	and	and	CCONJ
cana-1360	182	20	r	r	X
cana-1360	182	21	-	-	PUNCT
cana-1360	182	22	squared	squared	ADJ
cana-1360	182	23	(	(	PUNCT
cana-1360	182	24	coefficient	coefficient	NOUN
cana-1360	182	25	of	of	ADP
cana-1360	182	26	determination	determination	NOUN
cana-1360	182	27	)	)	PUNCT
cana-1360	182	28	for	for	ADP
cana-1360	182	29	both	both	DET
cana-1360	182	30	training	training	NOUN
cana-1360	182	31	and	and	CCONJ
cana-1360	182	32	testing	testing	NOUN
cana-1360	182	33	datasets	dataset	NOUN
cana-1360	182	34	,	,	PUNCT
cana-1360	182	35	we	we	PRON
cana-1360	182	36	can	can	AUX
cana-1360	182	37	assess	assess	VERB
cana-1360	182	38	the	the	DET
cana-1360	182	39	accuracy	accuracy	NOUN
cana-1360	182	40	and	and	CCONJ
cana-1360	182	41	robustness	robustness	NOUN
cana-1360	182	42	of	of	ADP
cana-1360	182	43	each	each	DET
cana-1360	182	44	model	model	NOUN
cana-1360	182	45	an	an	DET
cana-1360	182	46	analysis	analysis	NOUN
cana-1360	182	47	of	of	ADP
cana-1360	182	48	the	the	DET
cana-1360	182	49	results	result	NOUN
cana-1360	182	50	reveals	reveal	VERB
cana-1360	182	51	that	that	SCONJ
cana-1360	182	52	improved	improve	VERB
cana-1360	182	53	random	random	ADJ
cana-1360	182	54	forest	forest	NOUN
cana-1360	182	55	and	and	CCONJ
cana-1360	182	56	improved	improve	VERB
cana-1360	182	57	linear	linear	PROPN
cana-1360	182	58	regression	regression	NOUN
cana-1360	182	59	models	model	NOUN
cana-1360	182	60	consistently	consistently	ADV
cana-1360	182	61	achieve	achieve	VERB
cana-1360	182	62	lower	low	ADJ
cana-1360	182	63	rmse	rmse	NOUN
cana-1360	182	64	and	and	CCONJ
cana-1360	182	65	mae	mae	PROPN
cana-1360	182	66	values	value	NOUN
cana-1360	182	67	.	.	PUNCT
cana-1360	183	1	this	this	PRON
cana-1360	183	2	translates	translate	VERB
cana-1360	183	3	to	to	ADP
cana-1360	183	4	greater	great	ADJ
cana-1360	183	5	accuracy	accuracy	NOUN
cana-1360	183	6	in	in	ADP
cana-1360	183	7	predictions	prediction	NOUN
cana-1360	183	8	and	and	CCONJ
cana-1360	183	9	reduced	reduce	VERB
cana-1360	183	10	errors	error	NOUN
cana-1360	183	11	compared	compare	VERB
cana-1360	183	12	to	to	ADP
cana-1360	183	13	their	their	PRON
cana-1360	183	14	standard	standard	ADJ
cana-1360	183	15	counterparts	counterpart	NOUN
cana-1360	183	16	.	.	PUNCT
cana-1360	184	1	the	the	DET
cana-1360	184	2	improved	improve	VERB
cana-1360	184	3	models	model	NOUN
cana-1360	184	4	also	also	ADV
cana-1360	184	5	exhibit	exhibit	VERB
cana-1360	184	6	higher	high	ADJ
cana-1360	184	7	r	r	NOUN
cana-1360	184	8	-	-	PUNCT
cana-1360	184	9	squared	square	VERB
cana-1360	184	10	values	value	NOUN
cana-1360	184	11	,	,	PUNCT
cana-1360	184	12	signifying	signify	VERB
cana-1360	184	13	a	a	DET
cana-1360	184	14	stronger	strong	ADJ
cana-1360	184	15	fit	fit	NOUN
cana-1360	184	16	to	to	ADP
cana-1360	184	17	the	the	DET
cana-1360	184	18	data	datum	NOUN
cana-1360	184	19	.	.	PUNCT
cana-1360	185	1	while	while	SCONJ
cana-1360	185	2	the	the	DET
cana-1360	185	3	cox	cox	PROPN
cana-1360	185	4	proportional	proportional	PROPN
cana-1360	185	5	hazards	hazard	NOUN
cana-1360	185	6	model	model	NOUN
cana-1360	185	7	offers	offer	VERB
cana-1360	185	8	valuable	valuable	ADJ
cana-1360	185	9	insights	insight	NOUN
cana-1360	185	10	into	into	ADP
cana-1360	185	11	risk	risk	NOUN
cana-1360	185	12	factors	factor	NOUN
cana-1360	185	13	,	,	PUNCT
cana-1360	185	14	its	its	PRON
cana-1360	185	15	performance	performance	NOUN
cana-1360	185	16	can	can	AUX
cana-1360	185	17	vary	vary	VERB
cana-1360	185	18	depending	depend	VERB
cana-1360	185	19	on	on	ADP
cana-1360	185	20	the	the	DET
cana-1360	185	21	specific	specific	ADJ
cana-1360	185	22	characteristics	characteristic	NOUN
cana-1360	185	23	of	of	ADP
cana-1360	185	24	the	the	DET
cana-1360	185	25	dataset	dataset	NOUN
cana-1360	185	26	.	.	PUNCT
cana-1360	186	1	overall	overall	ADV
cana-1360	186	2	,	,	PUNCT
cana-1360	186	3	these	these	DET
cana-1360	186	4	findings	finding	NOUN
cana-1360	186	5	highlight	highlight	VERB
cana-1360	186	6	the	the	DET
cana-1360	186	7	significant	significant	ADJ
cana-1360	186	8	impact	impact	NOUN
cana-1360	186	9	of	of	ADP
cana-1360	186	10	model	model	NOUN
cana-1360	186	11	feature	feature	NOUN
cana-1360	186	12	enhancements	enhancement	NOUN
cana-1360	186	13	and	and	CCONJ
cana-1360	186	14	tuning	tune	VERB
cana-1360	186	15	on	on	ADP
cana-1360	186	16	improving	improve	VERB
cana-1360	186	17	prediction	prediction	NOUN
cana-1360	186	18	accuracy	accuracy	NOUN
cana-1360	186	19	.	.	PUNCT
cana-1360	187	1	4	4	X
cana-1360	187	2	.	.	X
cana-1360	187	3	conclusion	conclusion	NOUN
cana-1360	187	4	this	this	DET
cana-1360	187	5	study	study	NOUN
cana-1360	187	6	introduces	introduce	VERB
cana-1360	187	7	a	a	DET
cana-1360	187	8	novel	novel	ADJ
cana-1360	187	9	deep	deep	ADJ
cana-1360	187	10	learning	learning	NOUN
cana-1360	187	11	approach	approach	NOUN
cana-1360	187	12	for	for	ADP
cana-1360	187	13	air	air	NOUN
cana-1360	187	14	motor	motor	NOUN
cana-1360	187	15	unit	unit	NOUN
cana-1360	187	16	prognostics	prognostic	NOUN
cana-1360	187	17	,	,	PUNCT
cana-1360	187	18	achieving	achieve	VERB
cana-1360	187	19	high	high	ADJ
cana-1360	187	20	accuracy	accuracy	NOUN
cana-1360	187	21	in	in	ADP
cana-1360	187	22	predicting	predict	VERB
cana-1360	187	23	remaining	remain	VERB
cana-1360	187	24	useful	useful	ADJ
cana-1360	187	25	life	life	NOUN
cana-1360	187	26	(	(	PUNCT
cana-1360	187	27	rul	rul	NOUN
cana-1360	187	28	)	)	PUNCT
cana-1360	187	29	.	.	PUNCT
cana-1360	188	1	the	the	DET
cana-1360	188	2	proposed	propose	VERB
cana-1360	188	3	method	method	NOUN
cana-1360	188	4	utilizes	utilize	VERB
cana-1360	188	5	convolutional	convolutional	ADJ
cana-1360	188	6	neural	neural	ADJ
cana-1360	188	7	networks	network	NOUN
cana-1360	188	8	(	(	PUNCT
cana-1360	188	9	cnns	cnns	PROPN
cana-1360	188	10	)	)	PUNCT
cana-1360	188	11	to	to	PART
cana-1360	188	12	analyze	analyze	VERB
cana-1360	188	13	raw	raw	ADJ
cana-1360	188	14	sensor	sensor	NOUN
cana-1360	188	15	data	datum	NOUN
cana-1360	188	16	.	.	PUNCT
cana-1360	189	1	to	to	PART
cana-1360	189	2	prepare	prepare	VERB
cana-1360	189	3	the	the	DET
cana-1360	189	4	data	datum	NOUN
cana-1360	189	5	for	for	ADP
cana-1360	189	6	training	training	NOUN
cana-1360	189	7	,	,	PUNCT
cana-1360	189	8	the	the	DET
cana-1360	189	9	method	method	NOUN
cana-1360	189	10	involves	involve	VERB
cana-1360	189	11	feature	feature	NOUN
cana-1360	189	12	selection	selection	NOUN
cana-1360	189	13	,	,	PUNCT
cana-1360	189	14	preprocessing	preprocessing	NOUN
cana-1360	189	15	,	,	PUNCT
cana-1360	189	16	and	and	CCONJ
cana-1360	189	17	the	the	DET
cana-1360	189	18	implementation	implementation	NOUN
cana-1360	189	19	of	of	ADP
cana-1360	189	20	a	a	DET
cana-1360	189	21	time	time	NOUN
cana-1360	189	22	window	window	NOUN
cana-1360	189	23	technique	technique	NOUN
cana-1360	189	24	for	for	ADP
cana-1360	189	25	sample	sample	NOUN
cana-1360	189	26	creation	creation	NOUN
cana-1360	189	27	.	.	PUNCT
cana-1360	190	1	by	by	ADP
cana-1360	190	2	comparing	compare	VERB
cana-1360	190	3	the	the	DET
cana-1360	190	4	proposed	propose	VERB
cana-1360	190	5	deep	deep	ADJ
cana-1360	190	6	convolutional	convolutional	ADJ
cana-1360	190	7	architecture	architecture	NOUN
cana-1360	190	8	against	against	ADP
cana-1360	190	9	other	other	ADJ
cana-1360	190	10	neural	neural	ADJ
cana-1360	190	11	network	network	NOUN
cana-1360	190	12	structures	structure	NOUN
cana-1360	190	13	,	,	PUNCT
cana-1360	190	14	this	this	DET
cana-1360	190	15	study	study	NOUN
cana-1360	190	16	highlights	highlight	VERB
cana-1360	190	17	its	its	PRON
cana-1360	190	18	effectiveness	effectiveness	NOUN
cana-1360	190	19	in	in	ADP
cana-1360	190	20	prognostic	prognostic	ADJ
cana-1360	190	21	tasks	task	NOUN
cana-1360	190	22	.	.	PUNCT
cana-1360	191	1	the	the	DET
cana-1360	191	2	research	research	NOUN
cana-1360	191	3	investigates	investigate	VERB
cana-1360	191	4	the	the	DET
cana-1360	191	5	influence	influence	NOUN
cana-1360	191	6	of	of	ADP
cana-1360	191	7	hidden	hide	VERB
cana-1360	191	8	layer	layer	NOUN
cana-1360	191	9	count	count	NOUN
cana-1360	191	10	and	and	CCONJ
cana-1360	191	11	time	time	NOUN
cana-1360	191	12	window	window	NOUN
cana-1360	191	13	size	size	NOUN
cana-1360	191	14	on	on	ADP
cana-1360	191	15	performance	performance	NOUN
cana-1360	191	16	,	,	PUNCT
cana-1360	191	17	aiming	aim	VERB
cana-1360	191	18	to	to	PART
cana-1360	191	19	identify	identify	VERB
cana-1360	191	20	the	the	DET
cana-1360	191	21	optimal	optimal	ADJ
cana-1360	191	22	network	network	NOUN
cana-1360	191	23	configuration	configuration	NOUN
cana-1360	191	24	.	.	PUNCT
cana-1360	192	1	the	the	DET
cana-1360	192	2	results	result	NOUN
cana-1360	192	3	demonstrate	demonstrate	VERB
cana-1360	192	4	the	the	DET
cana-1360	192	5	method	method	NOUN
cana-1360	192	6	's	's	PART
cana-1360	192	7	superior	superior	ADJ
cana-1360	192	8	prognostic	prognostic	ADJ
cana-1360	192	9	accuracy	accuracy	NOUN
cana-1360	192	10	when	when	SCONJ
cana-1360	192	11	compared	compare	VERB
cana-1360	192	12	to	to	ADP
cana-1360	192	13	existing	exist	VERB
cana-1360	192	14	approaches	approach	NOUN
cana-1360	192	15	.	.	PUNCT
cana-1360	193	1	additionally	additionally	ADV
cana-1360	193	2	,	,	PUNCT
cana-1360	193	3	the	the	DET
cana-1360	193	4	paper	paper	NOUN
cana-1360	193	5	explores	explore	VERB
cana-1360	193	6	data	datum	NOUN
cana-1360	193	7	preprocessing	preprocesse	VERB
cana-1360	193	8	techniques	technique	NOUN
cana-1360	193	9	suitable	suitable	ADJ
cana-1360	193	10	for	for	ADP
cana-1360	193	11	real	real	ADJ
cana-1360	193	12	-	-	PUNCT
cana-1360	193	13	time	time	NOUN
cana-1360	193	14	applications	application	NOUN
cana-1360	193	15	and	and	CCONJ
cana-1360	193	16	proposes	propose	VERB
cana-1360	193	17	future	future	ADJ
cana-1360	193	18	research	research	NOUN
cana-1360	193	19	directions	direction	NOUN
cana-1360	193	20	to	to	PART
cana-1360	193	21	optimize	optimize	VERB
cana-1360	193	22	the	the	DET
cana-1360	193	23	architecture	architecture	NOUN
cana-1360	193	24	and	and	CCONJ
cana-1360	193	25	reduce	reduce	VERB
cana-1360	193	26	training	training	NOUN
cana-1360	193	27	time	time	NOUN
cana-1360	193	28	.	.	PUNCT
cana-1360	194	1	future	future	ADJ
cana-1360	194	2	scope	scope	NOUN
cana-1360	194	3	the	the	DET
cana-1360	194	4	future	future	NOUN
cana-1360	194	5	of	of	ADP
cana-1360	194	6	machine	machine	NOUN
cana-1360	194	7	disappointment	disappointment	NOUN
cana-1360	194	8	forecasting	forecasting	NOUN
cana-1360	194	9	using	use	VERB
cana-1360	194	10	deep	deep	ADJ
cana-1360	194	11	convolutional	convolutional	ADJ
cana-1360	194	12	neural	neural	ADJ
cana-1360	194	13	networks	network	NOUN
cana-1360	194	14	(	(	PUNCT
cana-1360	194	15	dcnns	dcnns	ADJ
cana-1360	194	16	)	)	PUNCT
cana-1360	194	17	holds	hold	VERB
cana-1360	194	18	significant	significant	ADJ
cana-1360	194	19	potential	potential	NOUN
cana-1360	194	20	for	for	ADP
cana-1360	194	21	various	various	ADJ
cana-1360	194	22	industries	industry	NOUN
cana-1360	194	23	.	.	PUNCT
cana-1360	195	1	researchers	researcher	NOUN
cana-1360	195	2	can	can	AUX
cana-1360	195	3	delve	delve	VERB
cana-1360	195	4	deeper	deep	ADJ
cana-1360	195	5	by	by	ADP
cana-1360	195	6	refining	refine	VERB
cana-1360	195	7	the	the	DET
cana-1360	195	8	time	time	NOUN
cana-1360	195	9	window	window	NOUN
cana-1360	195	10	approach	approach	NOUN
cana-1360	195	11	and	and	CCONJ
cana-1360	195	12	exploring	explore	VERB
cana-1360	195	13	different	different	ADJ
cana-1360	195	14	parameters	parameter	NOUN
cana-1360	195	15	to	to	PART
cana-1360	195	16	better	well	ADV
cana-1360	195	17	capture	capture	VERB
cana-1360	195	18	nuanced	nuanced	ADJ
cana-1360	195	19	patterns	pattern	NOUN
cana-1360	195	20	and	and	CCONJ
cana-1360	195	21	temporal	temporal	ADJ
cana-1360	195	22	relationships	relationship	NOUN
cana-1360	195	23	.	.	PUNCT
cana-1360	196	1	furthermore	furthermore	ADV
cana-1360	196	2	,	,	PUNCT
cana-1360	196	3	by	by	ADP
cana-1360	196	4	combining	combine	VERB
cana-1360	196	5	dcnns	dcnn	NOUN
cana-1360	196	6	with	with	ADP
cana-1360	196	7	techniques	technique	NOUN
cana-1360	196	8	like	like	ADP
cana-1360	196	9	recurrent	recurrent	ADJ
cana-1360	196	10	neural	neural	ADJ
cana-1360	196	11	networks	network	NOUN
cana-1360	196	12	or	or	CCONJ
cana-1360	196	13	reinforcement	reinforcement	NOUN
cana-1360	196	14	learning	learning	NOUN
cana-1360	196	15	,	,	PUNCT
cana-1360	196	16	hybrid	hybrid	ADJ
cana-1360	196	17	approaches	approach	NOUN
cana-1360	196	18	could	could	AUX
cana-1360	196	19	unlock	unlock	VERB
cana-1360	196	20	even	even	ADV
cana-1360	196	21	greater	great	ADJ
cana-1360	196	22	accuracy	accuracy	NOUN
cana-1360	196	23	in	in	ADP
cana-1360	196	24	predictions	prediction	NOUN
cana-1360	196	25	.	.	PUNCT
cana-1360	197	1	dcnn	dcnn	PROPN
cana-1360	197	2	-	-	PUNCT
cana-1360	197	3	based	base	VERB
cana-1360	197	4	models	model	NOUN
cana-1360	197	5	'	'	PART
cana-1360	197	6	scalability	scalability	NOUN
cana-1360	197	7	and	and	CCONJ
cana-1360	197	8	generalizability	generalizability	NOUN
cana-1360	197	9	unlock	unlock	NOUN
cana-1360	197	10	a	a	DET
cana-1360	197	11	wider	wide	ADJ
cana-1360	197	12	range	range	NOUN
cana-1360	197	13	of	of	ADP
cana-1360	197	14	applications	application	NOUN
cana-1360	197	15	.	.	PUNCT
cana-1360	198	1	researchers	researcher	NOUN
cana-1360	198	2	can	can	AUX
cana-1360	198	3	tailor	tailor	VERB
cana-1360	198	4	architectures	architecture	NOUN
cana-1360	198	5	to	to	ADP
cana-1360	198	6	specific	specific	ADJ
cana-1360	198	7	domains	domain	NOUN
cana-1360	198	8	and	and	CCONJ
cana-1360	198	9	leverage	leverage	NOUN
cana-1360	198	10	transfer	transfer	NOUN
cana-1360	198	11	learning	learning	NOUN
cana-1360	198	12	to	to	PART
cana-1360	198	13	expedite	expedite	VERB
cana-1360	198	14	deployment	deployment	NOUN
cana-1360	198	15	.	.	PUNCT
cana-1360	199	1	additionally	additionally	ADV
cana-1360	199	2	,	,	PUNCT
cana-1360	199	3	incorporating	incorporate	VERB
cana-1360	199	4	visualization	visualization	NOUN
cana-1360	199	5	techniques	technique	NOUN
cana-1360	199	6	can	can	AUX
cana-1360	199	7	boost	boost	VERB
cana-1360	199	8	model	model	NOUN
cana-1360	199	9	communications	communication	NOUN
cana-1360	199	10	on	on	ADP
cana-1360	199	11	applied	apply	VERB
cana-1360	199	12	nonlinear	nonlinear	ADJ
cana-1360	199	13	analysis	analysis	NOUN
cana-1360	199	14	issn	issn	NOUN
cana-1360	199	15	:	:	PUNCT
cana-1360	199	16	1074	1074	NUM
cana-1360	199	17	-	-	PUNCT
cana-1360	199	18	133x	133x	NUM
cana-1360	199	19	vol	vol	NOUN
cana-1360	199	20	31	31	NUM
cana-1360	199	21	no	no	NOUN
cana-1360	199	22	.	.	PUNCT
cana-1360	200	1	6s	6s	NUM
cana-1360	200	2	(	(	PUNCT
cana-1360	200	3	2024	2024	NUM
cana-1360	200	4	)	)	PUNCT
cana-1360	200	5	740	740	NUM
cana-1360	200	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1360	200	7	transparency	transparency	NOUN
cana-1360	200	8	and	and	CCONJ
cana-1360	200	9	user	user	NOUN
cana-1360	200	10	comprehension	comprehension	NOUN
cana-1360	200	11	,	,	PUNCT
cana-1360	200	12	facilitating	facilitate	VERB
cana-1360	200	13	more	more	ADV
cana-1360	200	14	informed	informed	ADJ
cana-1360	200	15	decision	decision	NOUN
cana-1360	200	16	-	-	PUNCT
cana-1360	200	17	making	making	NOUN
cana-1360	200	18	in	in	ADP
cana-1360	200	19	crucial	crucial	ADJ
cana-1360	200	20	operational	operational	ADJ
cana-1360	200	21	settings	setting	NOUN
cana-1360	200	22	.	.	PUNCT
cana-1360	201	1	in	in	ADP
cana-1360	201	2	essence	essence	NOUN
cana-1360	201	3	,	,	PUNCT
cana-1360	201	4	progress	progress	NOUN
cana-1360	201	5	in	in	ADP
cana-1360	201	6	dcnn	dcnn	PROPN
cana-1360	201	7	-	-	PUNCT
cana-1360	201	8	powered	power	VERB
cana-1360	201	9	machine	machine	NOUN
cana-1360	201	10	failure	failure	NOUN
cana-1360	201	11	prediction	prediction	NOUN
cana-1360	201	12	paves	pave	VERB
cana-1360	201	13	the	the	DET
cana-1360	201	14	way	way	NOUN
cana-1360	201	15	for	for	ADP
cana-1360	201	16	technical	technical	ADJ
cana-1360	201	17	improvements	improvement	NOUN
cana-1360	201	18	,	,	PUNCT
cana-1360	201	19	broader	broad	ADJ
cana-1360	201	20	adoption	adoption	NOUN
cana-1360	201	21	,	,	PUNCT
cana-1360	201	22	and	and	CCONJ
cana-1360	201	23	enhanced	enhance	VERB
cana-1360	201	24	interpretability	interpretability	NOUN
cana-1360	201	25	,	,	PUNCT
cana-1360	201	26	ultimately	ultimately	ADV
cana-1360	201	27	resulting	result	VERB
cana-1360	201	28	in	in	ADP
cana-1360	201	29	more	more	ADV
cana-1360	201	30	precise	precise	ADJ
cana-1360	201	31	and	and	CCONJ
cana-1360	201	32	actionable	actionable	ADJ
cana-1360	201	33	predictive	predictive	ADJ
cana-1360	201	34	maintenance	maintenance	NOUN
cana-1360	201	35	solutions	solution	NOUN
cana-1360	201	36	across	across	ADP
cana-1360	201	37	industries	industry	NOUN
cana-1360	201	38	.	.	PUNCT
cana-1360	202	1	references	reference	NOUN
cana-1360	202	2	[	[	X
cana-1360	202	3	1	1	NUM
cana-1360	202	4	]	]	PUNCT
cana-1360	202	5	z.	z.	PROPN
cana-1360	202	6	bao	bao	PROPN
cana-1360	202	7	,	,	PUNCT
cana-1360	202	8	h.	h.	PROPN
cana-1360	202	9	lin	lin	PROPN
cana-1360	202	10	,	,	PUNCT
cana-1360	202	11	s.	s.	PROPN
cana-1360	202	12	guan	guan	PROPN
cana-1360	202	13	,	,	PUNCT
cana-1360	202	14	x.	x.	PROPN
cana-1360	202	15	zheng	zheng	PROPN
cana-1360	202	16	,	,	PUNCT
cana-1360	202	17	z.	z.	PROPN
cana-1360	202	18	li	li	PROPN
cana-1360	202	19	and	and	CCONJ
cana-1360	202	20	m.	m.	PROPN
cana-1360	202	21	gao	gao	PROPN
cana-1360	202	22	,	,	PUNCT
cana-1360	202	23	"	"	PUNCT
cana-1360	202	24	spatial	spatial	ADJ
cana-1360	202	25	-	-	PUNCT
cana-1360	202	26	temporal	temporal	ADJ
cana-1360	202	27	attention	attention	NOUN
cana-1360	202	28	-	-	PUNCT
cana-1360	202	29	based	base	VERB
cana-1360	202	30	time	time	NOUN
cana-1360	202	31	series	series	PROPN
cana-1360	202	32	prediction	prediction	NOUN
cana-1360	202	33	network	network	NOUN
cana-1360	202	34	for	for	ADP
cana-1360	202	35	lithium	lithium	NOUN
cana-1360	202	36	battery	battery	NOUN
cana-1360	202	37	remaining	remain	VERB
cana-1360	202	38	useful	useful	ADJ
cana-1360	202	39	life	life	NOUN
cana-1360	202	40	estimation	estimation	NOUN
cana-1360	202	41	,	,	PUNCT
cana-1360	202	42	"	"	PUNCT
cana-1360	202	43	2024	2024	NUM
cana-1360	202	44	4th	4th	ADJ
cana-1360	202	45	international	international	ADJ
cana-1360	202	46	conference	conference	NOUN
cana-1360	202	47	on	on	ADP
cana-1360	202	48	neural	neural	ADJ
cana-1360	202	49	networks	network	NOUN
cana-1360	202	50	,	,	PUNCT
cana-1360	202	51	information	information	NOUN
cana-1360	202	52	and	and	CCONJ
cana-1360	202	53	communication	communication	NOUN
cana-1360	202	54	(	(	PUNCT
cana-1360	202	55	nnice	nnice	NOUN
cana-1360	202	56	)	)	PUNCT
cana-1360	202	57	,	,	PUNCT
cana-1360	202	58	guangzhou	guangzhou	PROPN
cana-1360	202	59	,	,	PUNCT
cana-1360	202	60	china	china	PROPN
cana-1360	202	61	,	,	PUNCT
cana-1360	202	62	2024	2024	NUM
cana-1360	202	63	,	,	PUNCT
cana-1360	202	64	pp	pp	ADV
cana-1360	202	65	.	.	PUNCT
cana-1360	203	1	91	91	NUM
cana-1360	203	2	-	-	SYM
cana-1360	203	3	94	94	NUM
cana-1360	203	4	,	,	PUNCT
cana-1360	203	5	doi	doi	NOUN
cana-1360	203	6	:	:	PUNCT
cana-1360	203	7	10.1109	10.1109	NUM
cana-1360	203	8	/	/	SYM
cana-1360	203	9	nnice61279.2024.10498716	nnice61279.2024.10498716	PROPN
cana-1360	203	10	.	.	PUNCT
cana-1360	204	1	[	[	X
cana-1360	204	2	2	2	X
cana-1360	204	3	]	]	PUNCT
cana-1360	204	4	j.	j.	PROPN
cana-1360	204	5	ren	ren	PROPN
cana-1360	204	6	,	,	PUNCT
cana-1360	204	7	j.	j.	PROPN
cana-1360	204	8	zheng	zheng	PROPN
cana-1360	204	9	,	,	PUNCT
cana-1360	204	10	j.	j.	PROPN
cana-1360	204	11	li	li	PROPN
cana-1360	204	12	,	,	PUNCT
cana-1360	204	13	h.	h.	PROPN
cana-1360	204	14	dong	dong	PROPN
cana-1360	204	15	and	and	CCONJ
cana-1360	204	16	z.	z.	PROPN
cana-1360	204	17	zhang	zhang	PROPN
cana-1360	204	18	,	,	PUNCT
cana-1360	204	19	"	"	PUNCT
cana-1360	204	20	a	a	DET
cana-1360	204	21	hybrid	hybrid	ADJ
cana-1360	204	22	remaining	remain	VERB
cana-1360	204	23	useful	useful	ADJ
cana-1360	204	24	life	life	NOUN
cana-1360	204	25	prognosis	prognosis	NOUN
cana-1360	204	26	method	method	NOUN
cana-1360	204	27	integrating	integrate	VERB
cana-1360	204	28	transformer	transformer	NOUN
cana-1360	204	29	networks	network	NOUN
cana-1360	204	30	and	and	CCONJ
cana-1360	204	31	wiener	wiener	NOUN
cana-1360	204	32	process	process	NOUN
cana-1360	204	33	,	,	PUNCT
cana-1360	204	34	"	"	PUNCT
cana-1360	204	35	2023	2023	NUM
cana-1360	204	36	caa	caa	NOUN
cana-1360	204	37	symposium	symposium	NOUN
cana-1360	204	38	on	on	ADP
cana-1360	204	39	fault	fault	NOUN
cana-1360	204	40	detection	detection	NOUN
cana-1360	204	41	,	,	PUNCT
cana-1360	204	42	supervision	supervision	NOUN
cana-1360	204	43	and	and	CCONJ
cana-1360	204	44	safety	safety	NOUN
cana-1360	204	45	for	for	ADP
cana-1360	204	46	technical	technical	ADJ
cana-1360	204	47	processes	process	NOUN
cana-1360	204	48	(	(	PUNCT
cana-1360	204	49	safeprocess	safeprocess	ADJ
cana-1360	204	50	)	)	PUNCT
cana-1360	204	51	,	,	PUNCT
cana-1360	204	52	yibin	yibin	PROPN
cana-1360	204	53	,	,	PUNCT
cana-1360	204	54	china	china	PROPN
cana-1360	204	55	,	,	PUNCT
cana-1360	204	56	2023	2023	NUM
cana-1360	204	57	,	,	PUNCT
cana-1360	204	58	pp	pp	ADJ
cana-1360	204	59	.	.	PUNCT
cana-1360	205	1	1	1	NUM
cana-1360	205	2	-	-	SYM
cana-1360	205	3	5	5	NUM
cana-1360	205	4	,	,	PUNCT
cana-1360	205	5	doi	doi	NOUN
cana-1360	205	6	:	:	PUNCT
cana-1360	205	7	10.1109	10.1109	NUM
cana-1360	205	8	/	/	SYM
cana-1360	205	9	safeprocess58597.2023.10295588	safeprocess58597.2023.10295588	PROPN
cana-1360	205	10	.	.	PUNCT
cana-1360	206	1	[	[	X
cana-1360	206	2	3	3	X
cana-1360	206	3	]	]	PUNCT
cana-1360	206	4	m.	m.	NOUN
cana-1360	206	5	natsumeda	natsumeda	PROPN
cana-1360	206	6	and	and	CCONJ
cana-1360	206	7	t.	t.	PROPN
cana-1360	206	8	yairi	yairi	NOUN
cana-1360	206	9	,	,	PUNCT
cana-1360	206	10	"	"	PUNCT
cana-1360	206	11	consistent	consistent	ADJ
cana-1360	206	12	pretext	pretext	NOUN
cana-1360	206	13	and	and	CCONJ
cana-1360	206	14	auxiliary	auxiliary	ADJ
cana-1360	206	15	tasks	task	NOUN
cana-1360	206	16	with	with	ADP
cana-1360	206	17	relative	relative	ADJ
cana-1360	206	18	remaining	remain	VERB
cana-1360	206	19	useful	useful	ADJ
cana-1360	206	20	life	life	NOUN
cana-1360	206	21	estimation	estimation	NOUN
cana-1360	206	22	,	,	PUNCT
cana-1360	206	23	"	"	PUNCT
cana-1360	206	24	in	in	ADP
cana-1360	206	25	ieee	ieee	NOUN
cana-1360	206	26	transactions	transaction	NOUN
cana-1360	206	27	on	on	ADP
cana-1360	206	28	industrial	industrial	ADJ
cana-1360	206	29	informatics	informatic	NOUN
cana-1360	206	30	,	,	PUNCT
cana-1360	206	31	vol	vol	NOUN
cana-1360	206	32	.	.	PROPN
cana-1360	206	33	20	20	NUM
cana-1360	206	34	,	,	PUNCT
cana-1360	206	35	no	no	INTJ
cana-1360	206	36	.	.	NOUN
cana-1360	206	37	4	4	NUM
cana-1360	206	38	,	,	PUNCT
cana-1360	206	39	pp	pp	ADJ
cana-1360	206	40	.	.	PUNCT
cana-1360	206	41	6879	6879	NUM
cana-1360	206	42	-	-	SYM
cana-1360	206	43	6888	6888	NUM
cana-1360	206	44	,	,	PUNCT
cana-1360	206	45	april	april	PROPN
cana-1360	206	46	2024	2024	NUM
cana-1360	206	47	,	,	PUNCT
cana-1360	206	48	doi	doi	NOUN
cana-1360	206	49	:	:	PUNCT
cana-1360	206	50	10.1109	10.1109	NUM
cana-1360	206	51	/	/	SYM
cana-1360	206	52	tii.2024.3353923	tii.2024.3353923	NUM
cana-1360	206	53	.	.	PUNCT
cana-1360	207	1	[	[	X
cana-1360	207	2	4	4	X
cana-1360	207	3	]	]	PUNCT
cana-1360	207	4	j.	j.	PROPN
cana-1360	207	5	zhang	zhang	PROPN
cana-1360	207	6	,	,	PUNCT
cana-1360	207	7	y.	y.	PROPN
cana-1360	207	8	jiang	jiang	PROPN
cana-1360	207	9	,	,	PUNCT
cana-1360	207	10	x.	x.	PROPN
cana-1360	207	11	li	li	PROPN
cana-1360	207	12	,	,	PUNCT
cana-1360	207	13	h.	h.	PROPN
cana-1360	207	14	luo	luo	PROPN
cana-1360	207	15	,	,	PUNCT
cana-1360	207	16	s.	s.	PROPN
cana-1360	207	17	yin	yin	PROPN
cana-1360	207	18	and	and	CCONJ
cana-1360	207	19	o.	o.	PROPN
cana-1360	207	20	kaynak	kaynak	PROPN
cana-1360	207	21	,	,	PUNCT
cana-1360	207	22	"	"	PUNCT
cana-1360	207	23	remaining	remain	VERB
cana-1360	207	24	useful	useful	ADJ
cana-1360	207	25	life	life	NOUN
cana-1360	207	26	prediction	prediction	NOUN
cana-1360	207	27	of	of	ADP
cana-1360	207	28	lithium	lithium	NOUN
cana-1360	207	29	-	-	PUNCT
cana-1360	207	30	ion	ion	NOUN
cana-1360	207	31	battery	battery	NOUN
cana-1360	207	32	with	with	ADP
cana-1360	207	33	adaptive	adaptive	ADJ
cana-1360	207	34	noise	noise	NOUN
cana-1360	207	35	estimation	estimation	NOUN
cana-1360	207	36	and	and	CCONJ
cana-1360	207	37	capacity	capacity	NOUN
cana-1360	207	38	regeneration	regeneration	NOUN
cana-1360	207	39	detection	detection	NOUN
cana-1360	207	40	,	,	PUNCT
cana-1360	207	41	"	"	PUNCT
cana-1360	207	42	in	in	ADP
cana-1360	207	43	ieee	ieee	PROPN
cana-1360	207	44	/	/	SYM
cana-1360	207	45	asme	asme	PROPN
cana-1360	207	46	transactions	transaction	NOUN
cana-1360	207	47	on	on	ADP
cana-1360	207	48	mechatronics	mechatronic	NOUN
cana-1360	207	49	,	,	PUNCT
cana-1360	207	50	vol	vol	NOUN
cana-1360	207	51	.	.	PROPN
cana-1360	207	52	28	28	NUM
cana-1360	207	53	,	,	PUNCT
cana-1360	207	54	no	no	INTJ
cana-1360	207	55	.	.	NOUN
cana-1360	207	56	2	2	NUM
cana-1360	207	57	,	,	PUNCT
cana-1360	207	58	pp	pp	ADJ
cana-1360	207	59	.	.	PUNCT
cana-1360	208	1	632	632	NUM
cana-1360	208	2	-	-	SYM
cana-1360	208	3	643	643	NUM
cana-1360	208	4	,	,	PUNCT
cana-1360	208	5	april	april	PROPN
cana-1360	208	6	2023	2023	NUM
cana-1360	208	7	,	,	PUNCT
cana-1360	208	8	doi	doi	NOUN
cana-1360	208	9	:	:	PUNCT
cana-1360	208	10	10.1109	10.1109	NUM
cana-1360	208	11	/	/	SYM
cana-1360	208	12	tmech.2022.3202642	tmech.2022.3202642	PROPN
cana-1360	208	13	.	.	PUNCT
cana-1360	209	1	[	[	X
cana-1360	209	2	5	5	X
cana-1360	209	3	]	]	PUNCT
cana-1360	209	4	l.	l.	PROPN
cana-1360	209	5	qin	qin	PROPN
cana-1360	209	6	,	,	PUNCT
cana-1360	209	7	s.	s.	PROPN
cana-1360	209	8	zhang	zhang	PROPN
cana-1360	209	9	,	,	PUNCT
cana-1360	209	10	t.	t.	PROPN
cana-1360	209	11	sun	sun	PROPN
cana-1360	209	12	and	and	CCONJ
cana-1360	209	13	x.	x.	NOUN
cana-1360	209	14	zhao	zhao	PROPN
cana-1360	209	15	,	,	PUNCT
cana-1360	209	16	"	"	PUNCT
cana-1360	209	17	an	an	DET
cana-1360	209	18	interpretable	interpretable	ADJ
cana-1360	209	19	neuro	neuro	NOUN
cana-1360	209	20	-	-	PUNCT
cana-1360	209	21	dynamic	dynamic	ADJ
cana-1360	209	22	scheme	scheme	NOUN
cana-1360	209	23	with	with	ADP
cana-1360	209	24	feature	feature	NOUN
cana-1360	209	25	-	-	PUNCT
cana-1360	209	26	temporal	temporal	ADJ
cana-1360	209	27	attention	attention	NOUN
cana-1360	209	28	for	for	ADP
cana-1360	209	29	remaining	remain	VERB
cana-1360	209	30	useful	useful	ADJ
cana-1360	209	31	life	life	NOUN
cana-1360	209	32	estimation	estimation	NOUN
cana-1360	209	33	,	,	PUNCT
cana-1360	209	34	"	"	PUNCT
cana-1360	209	35	in	in	ADP
cana-1360	209	36	ieee	ieee	NOUN
cana-1360	209	37	transactions	transaction	NOUN
cana-1360	209	38	on	on	ADP
cana-1360	209	39	industrial	industrial	ADJ
cana-1360	209	40	informatics	informatic	NOUN
cana-1360	209	41	,	,	PUNCT
cana-1360	209	42	vol	vol	NOUN
cana-1360	209	43	.	.	PROPN
cana-1360	209	44	20	20	NUM
cana-1360	209	45	,	,	PUNCT
cana-1360	209	46	no	no	INTJ
cana-1360	209	47	.	.	NOUN
cana-1360	209	48	4	4	NUM
cana-1360	209	49	,	,	PUNCT
cana-1360	209	50	pp	pp	ADJ
cana-1360	209	51	.	.	PUNCT
cana-1360	210	1	5505	5505	NUM
cana-1360	210	2	-	-	SYM
cana-1360	210	3	5516	5516	NUM
cana-1360	210	4	,	,	PUNCT
cana-1360	210	5	april	april	PROPN
cana-1360	210	6	2024	2024	NUM
cana-1360	210	7	,	,	PUNCT
cana-1360	210	8	doi	doi	NOUN
cana-1360	210	9	:	:	PUNCT
cana-1360	210	10	10.1109	10.1109	NUM
cana-1360	210	11	/	/	SYM
cana-1360	210	12	tii.2023.3333933	tii.2023.3333933	NOUN
cana-1360	210	13	.	.	PUNCT
cana-1360	211	1	[	[	X
cana-1360	211	2	6	6	NUM
cana-1360	211	3	]	]	PUNCT
cana-1360	211	4	c.	c.	PROPN
cana-1360	211	5	j.	j.	PROPN
cana-1360	211	6	c.	c.	PROPN
cana-1360	211	7	adducul	adducul	PROPN
cana-1360	211	8	,	,	PUNCT
cana-1360	211	9	j.	j.	PROPN
cana-1360	211	10	r.	r.	PROPN
cana-1360	211	11	i.	i.	PROPN
cana-1360	211	12	macasaet	macasaet	PROPN
cana-1360	211	13	and	and	CCONJ
cana-1360	211	14	n.	n.	PROPN
cana-1360	211	15	m.	m.	PROPN
cana-1360	211	16	c.	c.	PROPN
cana-1360	211	17	tiglao	tiglao	PROPN
cana-1360	211	18	,	,	PUNCT
cana-1360	211	19	"	"	PUNCT
cana-1360	211	20	edge	edge	NOUN
cana-1360	211	21	-	-	PUNCT
cana-1360	211	22	based	base	VERB
cana-1360	211	23	battery	battery	NOUN
cana-1360	211	24	remaining	remain	VERB
cana-1360	211	25	useful	useful	ADJ
cana-1360	211	26	life	life	NOUN
cana-1360	211	27	estimation	estimation	NOUN
cana-1360	211	28	using	use	VERB
cana-1360	211	29	deep	deep	ADJ
cana-1360	211	30	learning	learning	NOUN
cana-1360	211	31	,	,	PUNCT
cana-1360	211	32	"	"	PUNCT
cana-1360	211	33	2023	2023	NUM
cana-1360	211	34	international	international	ADJ
cana-1360	211	35	conference	conference	NOUN
cana-1360	211	36	on	on	ADP
cana-1360	211	37	smart	smart	ADJ
cana-1360	211	38	applications	application	NOUN
cana-1360	211	39	,	,	PUNCT
cana-1360	211	40	communications	communication	NOUN
cana-1360	211	41	and	and	CCONJ
cana-1360	211	42	networking	networking	NOUN
cana-1360	211	43	(	(	PUNCT
cana-1360	211	44	smartnets	smartnet	NOUN
cana-1360	211	45	)	)	PUNCT
cana-1360	211	46	,	,	PUNCT
cana-1360	211	47	istanbul	istanbul	PROPN
cana-1360	211	48	,	,	PUNCT
cana-1360	211	49	turkiye	turkiye	PROPN
cana-1360	211	50	,	,	PUNCT
cana-1360	211	51	2023	2023	NUM
cana-1360	211	52	,	,	PUNCT
cana-1360	211	53	pp	pp	ADJ
cana-1360	211	54	.	.	PUNCT
cana-1360	212	1	1	1	NUM
cana-1360	212	2	-	-	SYM
cana-1360	212	3	6	6	NUM
cana-1360	212	4	,	,	PUNCT
cana-1360	212	5	doi	doi	NOUN
cana-1360	212	6	:	:	PUNCT
cana-1360	212	7	10.1109	10.1109	NUM
cana-1360	212	8	/	/	SYM
cana-1360	212	9	smartnets58706.2023.10215733	smartnets58706.2023.10215733	NOUN
cana-1360	212	10	.	.	PUNCT
cana-1360	213	1	[	[	X
cana-1360	213	2	7	7	X
cana-1360	213	3	]	]	X
cana-1360	213	4	h.	h.	NOUN
cana-1360	213	5	henna	henna	PROPN
cana-1360	213	6	,	,	PUNCT
cana-1360	213	7	e.	e.	PROPN
cana-1360	213	8	gasmi	gasmi	PROPN
cana-1360	213	9	,	,	PUNCT
cana-1360	213	10	h.	h.	PROPN
cana-1360	213	11	toubakh	toubakh	PROPN
cana-1360	213	12	,	,	PUNCT
cana-1360	213	13	m.	m.	PROPN
cana-1360	213	14	r.	r.	PROPN
cana-1360	213	15	kafi	kafi	PROPN
cana-1360	213	16	,	,	PUNCT
cana-1360	213	17	m.	m.	NOUN
cana-1360	213	18	djemai	djemai	PROPN
cana-1360	213	19	and	and	CCONJ
cana-1360	213	20	m.	m.	NOUN
cana-1360	213	21	sayed	say	VERB
cana-1360	213	22	-	-	PUNCT
cana-1360	213	23	mouchaweh	mouchaweh	PROPN
cana-1360	213	24	,	,	PUNCT
cana-1360	213	25	"	"	PUNCT
cana-1360	213	26	fault	fault	VERB
cana-1360	213	27	tolerant	tolerant	ADJ
cana-1360	213	28	attitude	attitude	NOUN
cana-1360	213	29	estimation	estimation	NOUN
cana-1360	213	30	for	for	ADP
cana-1360	213	31	satellite	satellite	NOUN
cana-1360	213	32	at	at	ADP
cana-1360	213	33	low	low	ADJ
cana-1360	213	34	earth	earth	NOUN
cana-1360	213	35	orbit	orbit	NOUN
cana-1360	213	36	*	*	PUNCT
cana-1360	213	37	,	,	PUNCT
cana-1360	213	38	"	"	PUNCT
cana-1360	213	39	2023	2023	NUM
cana-1360	213	40	9th	9th	ADJ
cana-1360	213	41	international	international	ADJ
cana-1360	213	42	conference	conference	NOUN
cana-1360	213	43	on	on	ADP
cana-1360	213	44	control	control	NOUN
cana-1360	213	45	,	,	PUNCT
cana-1360	213	46	decision	decision	NOUN
cana-1360	213	47	and	and	CCONJ
cana-1360	213	48	information	information	NOUN
cana-1360	213	49	technologies	technology	NOUN
cana-1360	213	50	(	(	PUNCT
cana-1360	213	51	codit	codit	NOUN
cana-1360	213	52	)	)	PUNCT
cana-1360	213	53	,	,	PUNCT
cana-1360	213	54	rome	rome	PROPN
cana-1360	213	55	,	,	PUNCT
cana-1360	213	56	italy	italy	PROPN
cana-1360	213	57	,	,	PUNCT
cana-1360	213	58	2023	2023	NUM
cana-1360	213	59	,	,	PUNCT
cana-1360	213	60	pp	pp	ADJ
cana-1360	213	61	.	.	PUNCT
cana-1360	214	1	275	275	NUM
cana-1360	214	2	-	-	SYM
cana-1360	214	3	280	280	NUM
cana-1360	214	4	,	,	PUNCT
cana-1360	214	5	doi	doi	NOUN
cana-1360	214	6	:	:	PUNCT
cana-1360	214	7	10.1109	10.1109	NUM
cana-1360	214	8	/	/	SYM
cana-1360	214	9	codit58514.2023.10284329	codit58514.2023.10284329	NOUN
cana-1360	214	10	.	.	PUNCT
cana-1360	215	1	[	[	X
cana-1360	215	2	8	8	X
cana-1360	215	3	]	]	X
cana-1360	215	4	j.	j.	PROPN
cana-1360	215	5	lee	lee	PROPN
cana-1360	215	6	,	,	PUNCT
cana-1360	215	7	"	"	PUNCT
cana-1360	215	8	li	li	NOUN
cana-1360	215	9	-	-	NOUN
cana-1360	215	10	ion	ion	NOUN
cana-1360	215	11	battery	battery	NOUN
cana-1360	215	12	health	health	NOUN
cana-1360	215	13	state	state	NOUN
cana-1360	215	14	estimation	estimation	NOUN
cana-1360	215	15	with	with	ADP
cana-1360	215	16	two	two	NUM
cana-1360	215	17	feed	feed	NOUN
cana-1360	215	18	forward	forward	ADV
cana-1360	215	19	neural	neural	ADJ
cana-1360	215	20	networks	network	NOUN
cana-1360	215	21	,	,	PUNCT
cana-1360	215	22	"	"	PUNCT
cana-1360	215	23	2023	2023	NUM
cana-1360	215	24	ieee	ieee	NOUN
cana-1360	215	25	international	international	ADJ
cana-1360	215	26	conference	conference	NOUN
cana-1360	215	27	on	on	ADP
cana-1360	215	28	industrial	industrial	ADJ
cana-1360	215	29	technology	technology	NOUN
cana-1360	215	30	(	(	PUNCT
cana-1360	215	31	icit	icit	PROPN
cana-1360	215	32	)	)	PUNCT
cana-1360	215	33	,	,	PUNCT
cana-1360	215	34	orlando	orlando	PROPN
cana-1360	215	35	,	,	PUNCT
cana-1360	215	36	fl	fl	PROPN
cana-1360	215	37	,	,	PUNCT
cana-1360	215	38	usa	usa	PROPN
cana-1360	215	39	,	,	PUNCT
cana-1360	215	40	2023	2023	NUM
cana-1360	215	41	,	,	PUNCT
cana-1360	215	42	pp	pp	ADJ
cana-1360	215	43	.	.	PUNCT
cana-1360	215	44	1	1	NUM
cana-1360	215	45	-	-	SYM
cana-1360	215	46	6	6	NUM
cana-1360	215	47	,	,	PUNCT
cana-1360	215	48	doi	doi	NOUN
cana-1360	215	49	:	:	PUNCT
cana-1360	215	50	10.1109	10.1109	NUM
cana-1360	215	51	/	/	SYM
cana-1360	215	52	icit58465.2023.10143124	icit58465.2023.10143124	NOUN
cana-1360	215	53	.	.	PUNCT
cana-1360	216	1	[	[	X
cana-1360	216	2	9	9	NUM
cana-1360	216	3	]	]	X
cana-1360	216	4	y.	y.	PROPN
cana-1360	216	5	zeng	zeng	PROPN
cana-1360	216	6	,	,	PUNCT
cana-1360	216	7	y.	y.	PROPN
cana-1360	216	8	zhang	zhang	PROPN
cana-1360	216	9	,	,	PUNCT
cana-1360	216	10	x.	x.	PROPN
cana-1360	216	11	yan	yan	PROPN
cana-1360	216	12	and	and	CCONJ
cana-1360	216	13	q.	q.	PROPN
cana-1360	216	14	miao	miao	PROPN
cana-1360	216	15	,	,	PUNCT
cana-1360	216	16	"	"	PUNCT
cana-1360	216	17	ema	ema	PROPN
cana-1360	216	18	health	health	PROPN
cana-1360	216	19	indicator	indicator	PROPN
cana-1360	216	20	extraction	extraction	NOUN
cana-1360	216	21	based	base	VERB
cana-1360	216	22	on	on	ADP
cana-1360	216	23	improved	improved	ADJ
cana-1360	216	24	multivariate	multivariate	NOUN
cana-1360	216	25	state	state	NOUN
cana-1360	216	26	estimation	estimation	NOUN
cana-1360	216	27	technique	technique	NOUN
cana-1360	216	28	with	with	ADP
cana-1360	216	29	a	a	DET
cana-1360	216	30	composite	composite	ADJ
cana-1360	216	31	operator	operator	NOUN
cana-1360	216	32	,	,	PUNCT
cana-1360	216	33	"	"	PUNCT
cana-1360	216	34	in	in	ADP
cana-1360	216	35	ieee	ieee	NOUN
cana-1360	216	36	sensors	sensor	NOUN
cana-1360	216	37	journal	journal	PROPN
cana-1360	216	38	,	,	PUNCT
cana-1360	216	39	vol	vol	NOUN
cana-1360	216	40	.	.	PROPN
cana-1360	216	41	23	23	NUM
cana-1360	216	42	,	,	PUNCT
cana-1360	216	43	no	no	INTJ
cana-1360	216	44	.	.	NOUN
cana-1360	216	45	17	17	NUM
cana-1360	216	46	,	,	PUNCT
cana-1360	216	47	pp	pp	ADJ
cana-1360	216	48	.	.	PUNCT
cana-1360	216	49	19894	19894	NUM
cana-1360	216	50	-	-	SYM
cana-1360	216	51	19904	19904	NUM
cana-1360	216	52	,	,	PUNCT
cana-1360	216	53	1	1	NUM
cana-1360	216	54	sept.1	sept.1	ADJ
cana-1360	216	55	,	,	PUNCT
cana-1360	216	56	2023	2023	NUM
cana-1360	216	57	,	,	PUNCT
cana-1360	216	58	doi	doi	NOUN
cana-1360	216	59	:	:	PUNCT
cana-1360	216	60	10.1109	10.1109	NUM
cana-1360	216	61	/	/	SYM
cana-1360	216	62	jsen.2023.3298349	jsen.2023.3298349	PROPN
cana-1360	216	63	.	.	PUNCT