id	sid	tid	token	lemma	pos
cana-2377	1	1	communications	communication	NOUN
cana-2377	1	2	on	on	ADP
cana-2377	1	3	applied	apply	VERB
cana-2377	1	4	nonlinear	nonlinear	ADJ
cana-2377	1	5	analysis	analysis	NOUN
cana-2377	1	6	issn	issn	NOUN
cana-2377	1	7	:	:	PUNCT
cana-2377	1	8	1074	1074	NUM
cana-2377	1	9	-	-	PUNCT
cana-2377	1	10	133x	133x	NUM
cana-2377	1	11	vol	vol	NOUN
cana-2377	1	12	32	32	NUM
cana-2377	1	13	no	no	NOUN
cana-2377	1	14	.	.	NOUN
cana-2377	1	15	3	3	NUM
cana-2377	1	16	(	(	PUNCT
cana-2377	1	17	2025	2025	NUM
cana-2377	1	18	)	)	PUNCT
cana-2377	1	19	626	626	NUM
cana-2377	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	1	21	neural	neural	ADJ
cana-2377	1	22	network	network	NOUN
cana-2377	1	23	aided	aid	VERB
cana-2377	1	24	extended	extended	ADJ
cana-2377	1	25	kalman	kalman	NOUN
cana-2377	1	26	filter	filter	NOUN
cana-2377	1	27	for	for	ADP
cana-2377	1	28	fault	fault	NOUN
cana-2377	1	29	detection	detection	NOUN
cana-2377	1	30	and	and	CCONJ
cana-2377	1	31	isolation	isolation	NOUN
cana-2377	1	32	in	in	ADP
cana-2377	1	33	nonlinear	nonlinear	ADJ
cana-2377	1	34	control	control	NOUN
cana-2377	1	35	system	system	PROPN
cana-2377	1	36	vishnu	vishnu	PROPN
cana-2377	1	37	kumar	kumar	PROPN
cana-2377	1	38	kaliappan*1	kaliappan*1	PROPN
cana-2377	1	39	,	,	PUNCT
cana-2377	1	40	sundharamurthy	sundharamurthy	ADJ
cana-2377	1	41	gnanamurthy2	gnanamurthy2	NOUN
cana-2377	1	42	,	,	PUNCT
cana-2377	1	43	sakthivel	sakthivel	NOUN
cana-2377	1	44	velusamy3	velusamy3	PROPN
cana-2377	1	45	,	,	PUNCT
cana-2377	1	46	dhanasekaran	dhanasekaran	PROPN
cana-2377	1	47	pachiyannan4	pachiyannan4	PROPN
cana-2377	1	48	,	,	PUNCT
cana-2377	1	49	dharani	dharani	PROPN
cana-2377	1	50	jaganathan5	jaganathan5	PROPN
cana-2377	2	1	1department	1department	NUM
cana-2377	2	2	of	of	ADP
cana-2377	2	3	computer	computer	NOUN
cana-2377	2	4	science	science	NOUN
cana-2377	2	5	and	and	CCONJ
cana-2377	2	6	engineering	engineering	NOUN
cana-2377	2	7	,	,	PUNCT
cana-2377	2	8	kpr	kpr	PROPN
cana-2377	2	9	institute	institute	PROPN
cana-2377	2	10	of	of	ADP
cana-2377	2	11	engineering	engineering	NOUN
cana-2377	2	12	and	and	CCONJ
cana-2377	2	13	technology	technology	NOUN
cana-2377	2	14	,	,	PUNCT
cana-2377	2	15	coimbatore	coimbatore	PROPN
cana-2377	2	16	,	,	PUNCT
cana-2377	2	17	tamil	tamil	PROPN
cana-2377	2	18	nadu	nadu	PROPN
cana-2377	2	19	,	,	PUNCT
cana-2377	2	20	india	india	PROPN
cana-2377	2	21	.	.	PUNCT
cana-2377	3	1	641407	641407	NUM
cana-2377	3	2	.	.	PUNCT
cana-2377	4	1	vishnudms@gmail.com	vishnudms@gmail.com	X
cana-2377	5	1	2department	2department	NUM
cana-2377	5	2	of	of	ADP
cana-2377	5	3	computer	computer	NOUN
cana-2377	5	4	science	science	NOUN
cana-2377	5	5	and	and	CCONJ
cana-2377	5	6	engineering	engineering	NOUN
cana-2377	5	7	,	,	PUNCT
cana-2377	5	8	kuppam	kuppam	PROPN
cana-2377	5	9	engineering	engineering	PROPN
cana-2377	5	10	college	college	PROPN
cana-2377	5	11	,	,	PUNCT
cana-2377	5	12	chittoor	chittoor	PROPN
cana-2377	5	13	(	(	PUNCT
cana-2377	5	14	dist	dist	NOUN
cana-2377	5	15	)	)	PUNCT
cana-2377	5	16	,	,	PUNCT
cana-2377	5	17	andhra	andhra	PROPN
cana-2377	5	18	pradesh	pradesh	PROPN
cana-2377	5	19	,	,	PUNCT
cana-2377	5	20	india	india	PROPN
cana-2377	5	21	.	.	PROPN
cana-2377	5	22	517425	517425	NUM
cana-2377	5	23	.	.	PUNCT
cana-2377	6	1	gnanamurthyspec@gmail.com	gnanamurthyspec@gmail.com	X
cana-2377	7	1	3school	3school	NUM
cana-2377	7	2	of	of	ADP
cana-2377	7	3	computer	computer	NOUN
cana-2377	7	4	science	science	NOUN
cana-2377	7	5	and	and	CCONJ
cana-2377	7	6	engineering	engineering	NOUN
cana-2377	7	7	,	,	PUNCT
cana-2377	7	8	vellore	vellore	PROPN
cana-2377	7	9	institute	institute	PROPN
cana-2377	7	10	of	of	ADP
cana-2377	7	11	technology	technology	PROPN
cana-2377	7	12	,	,	PUNCT
cana-2377	7	13	chennai	chennai	PROPN
cana-2377	7	14	,	,	PUNCT
cana-2377	7	15	india	india	PROPN
cana-2377	7	16	.	.	PUNCT
cana-2377	7	17	600127	600127	NUM
cana-2377	7	18	.	.	PUNCT
cana-2377	8	1	mvsakthi@gmail.com	mvsakthi@gmail.com	X
cana-2377	9	1	4department	4department	NUM
cana-2377	9	2	of	of	ADP
cana-2377	9	3	electronics	electronic	NOUN
cana-2377	9	4	and	and	CCONJ
cana-2377	9	5	communication	communication	NOUN
cana-2377	9	6	engineering	engineering	NOUN
cana-2377	9	7	,	,	PUNCT
cana-2377	9	8	the	the	DET
cana-2377	9	9	kavery	kavery	PROPN
cana-2377	9	10	engineering	engineering	PROPN
cana-2377	9	11	college	college	PROPN
cana-2377	9	12	,	,	PUNCT
cana-2377	9	13	mecheri	mecheri	NOUN
cana-2377	9	14	,	,	PUNCT
cana-2377	9	15	salem.tamilnadu-636453	salem.tamilnadu-636453	NOUN
cana-2377	9	16	,	,	PUNCT
cana-2377	9	17	india	india	PROPN
cana-2377	9	18	.	.	PUNCT
cana-2377	10	1	dhanawaves@gmail.com	dhanawaves@gmail.com	X
cana-2377	11	1	5department	5department	NUM
cana-2377	11	2	of	of	ADP
cana-2377	11	3	computer	computer	NOUN
cana-2377	11	4	science	science	NOUN
cana-2377	11	5	and	and	CCONJ
cana-2377	11	6	engineering	engineering	NOUN
cana-2377	11	7	,	,	PUNCT
cana-2377	11	8	kpr	kpr	PROPN
cana-2377	11	9	institute	institute	PROPN
cana-2377	11	10	of	of	ADP
cana-2377	11	11	engineering	engineering	NOUN
cana-2377	11	12	and	and	CCONJ
cana-2377	11	13	technology	technology	NOUN
cana-2377	11	14	,	,	PUNCT
cana-2377	11	15	coimbatore	coimbatore	PROPN
cana-2377	11	16	,	,	PUNCT
cana-2377	11	17	tamil	tamil	PROPN
cana-2377	11	18	nadu	nadu	PROPN
cana-2377	11	19	641407	641407	NUM
cana-2377	11	20	,	,	PUNCT
cana-2377	11	21	india	india	PROPN
cana-2377	11	22	.	.	PUNCT
cana-2377	12	1	dharaninagan92@gmail.com	dharaninagan92@gmail.com	X
cana-2377	12	2	article	article	NOUN
cana-2377	12	3	history	history	NOUN
cana-2377	12	4	:	:	PUNCT
cana-2377	12	5	received	receive	VERB
cana-2377	12	6	:	:	PUNCT
cana-2377	12	7	06	06	NUM
cana-2377	12	8	-	-	SYM
cana-2377	12	9	08	08	NUM
cana-2377	12	10	-	-	PUNCT
cana-2377	12	11	2024	2024	NUM
cana-2377	12	12	revised	revise	VERB
cana-2377	12	13	:	:	PUNCT
cana-2377	12	14	27	27	NUM
cana-2377	12	15	-	-	SYM
cana-2377	12	16	09	09	NUM
cana-2377	12	17	-	-	PUNCT
cana-2377	12	18	2024	2024	NUM
cana-2377	12	19	accepted	accept	VERB
cana-2377	12	20	:	:	PUNCT
cana-2377	12	21	08	08	NUM
cana-2377	12	22	-	-	SYM
cana-2377	12	23	10	10	NUM
cana-2377	12	24	-	-	PUNCT
cana-2377	12	25	2024	2024	NUM
cana-2377	12	26	abstract	abstract	NOUN
cana-2377	12	27	:	:	PUNCT
cana-2377	12	28	this	this	DET
cana-2377	12	29	article	article	NOUN
cana-2377	12	30	describes	describe	VERB
cana-2377	12	31	the	the	DET
cana-2377	12	32	presentation	presentation	NOUN
cana-2377	12	33	of	of	ADP
cana-2377	12	34	neural	neural	ADJ
cana-2377	12	35	networks	network	NOUN
cana-2377	12	36	for	for	ADP
cana-2377	12	37	fault	fault	NOUN
cana-2377	12	38	detection	detection	NOUN
cana-2377	12	39	and	and	CCONJ
cana-2377	12	40	isolation	isolation	NOUN
cana-2377	12	41	in	in	ADP
cana-2377	12	42	nonlinear	nonlinear	ADJ
cana-2377	12	43	systems	system	NOUN
cana-2377	12	44	.	.	PUNCT
cana-2377	13	1	model	model	NOUN
cana-2377	13	2	-	-	PUNCT
cana-2377	13	3	based	base	VERB
cana-2377	13	4	fault	fault	NOUN
cana-2377	13	5	detection	detection	NOUN
cana-2377	13	6	schemes	scheme	NOUN
cana-2377	13	7	must	must	AUX
cana-2377	13	8	include	include	VERB
cana-2377	13	9	residual	residual	ADJ
cana-2377	13	10	generation	generation	NOUN
cana-2377	13	11	.	.	PUNCT
cana-2377	14	1	the	the	DET
cana-2377	14	2	process	process	NOUN
cana-2377	14	3	of	of	ADP
cana-2377	14	4	residual	residual	ADJ
cana-2377	14	5	generation	generation	NOUN
cana-2377	14	6	for	for	ADP
cana-2377	14	7	nonlinear	nonlinear	ADJ
cana-2377	14	8	systems	system	NOUN
cana-2377	14	9	is	be	AUX
cana-2377	14	10	often	often	ADV
cana-2377	14	11	difficult	difficult	ADJ
cana-2377	14	12	because	because	SCONJ
cana-2377	14	13	of	of	ADP
cana-2377	14	14	the	the	DET
cana-2377	14	15	size	size	NOUN
cana-2377	14	16	of	of	ADP
cana-2377	14	17	the	the	DET
cana-2377	14	18	issue	issue	NOUN
cana-2377	14	19	or	or	CCONJ
cana-2377	14	20	the	the	DET
cana-2377	14	21	absence	absence	NOUN
cana-2377	14	22	of	of	ADP
cana-2377	14	23	a	a	DET
cana-2377	14	24	suitable	suitable	ADJ
cana-2377	14	25	model	model	NOUN
cana-2377	14	26	from	from	ADP
cana-2377	14	27	which	which	PRON
cana-2377	14	28	the	the	DET
cana-2377	14	29	residual	residual	ADJ
cana-2377	14	30	can	can	AUX
cana-2377	14	31	be	be	AUX
cana-2377	14	32	generated	generate	VERB
cana-2377	14	33	.	.	PUNCT
cana-2377	15	1	to	to	PART
cana-2377	15	2	generate	generate	VERB
cana-2377	15	3	residuals	residual	NOUN
cana-2377	15	4	for	for	ADP
cana-2377	15	5	fault	fault	NOUN
cana-2377	15	6	detection	detection	NOUN
cana-2377	15	7	,	,	PUNCT
cana-2377	15	8	this	this	DET
cana-2377	15	9	paper	paper	NOUN
cana-2377	15	10	develops	develop	VERB
cana-2377	15	11	and	and	CCONJ
cana-2377	15	12	applies	apply	VERB
cana-2377	15	13	neural	neural	ADJ
cana-2377	15	14	network	network	NOUN
cana-2377	15	15	-	-	PUNCT
cana-2377	15	16	based	base	VERB
cana-2377	15	17	methods	method	NOUN
cana-2377	15	18	for	for	ADP
cana-2377	15	19	nonlinear	nonlinear	ADJ
cana-2377	15	20	systems	system	NOUN
cana-2377	15	21	.	.	PUNCT
cana-2377	16	1	fault	fault	VERB
cana-2377	16	2	detection	detection	NOUN
cana-2377	16	3	and	and	CCONJ
cana-2377	16	4	isolation	isolation	NOUN
cana-2377	16	5	(	(	PUNCT
cana-2377	16	6	fdi	fdi	NOUN
cana-2377	16	7	)	)	PUNCT
cana-2377	16	8	is	be	AUX
cana-2377	16	9	critical	critical	ADJ
cana-2377	16	10	in	in	ADP
cana-2377	16	11	many	many	ADJ
cana-2377	16	12	industries	industry	NOUN
cana-2377	16	13	to	to	PART
cana-2377	16	14	ensure	ensure	VERB
cana-2377	16	15	the	the	DET
cana-2377	16	16	safe	safe	ADJ
cana-2377	16	17	operation	operation	NOUN
cana-2377	16	18	of	of	ADP
cana-2377	16	19	a	a	DET
cana-2377	16	20	process	process	NOUN
cana-2377	16	21	.	.	PUNCT
cana-2377	17	1	faults	fault	NOUN
cana-2377	17	2	detection	detection	NOUN
cana-2377	17	3	and	and	CCONJ
cana-2377	17	4	identification	identification	NOUN
cana-2377	17	5	(	(	PUNCT
cana-2377	17	6	fdi	fdi	NOUN
cana-2377	17	7	)	)	PUNCT
cana-2377	17	8	methods	method	NOUN
cana-2377	17	9	are	be	AUX
cana-2377	17	10	proposed	propose	VERB
cana-2377	17	11	to	to	PART
cana-2377	17	12	identify	identify	VERB
cana-2377	17	13	the	the	DET
cana-2377	17	14	type	type	NOUN
cana-2377	17	15	,	,	PUNCT
cana-2377	17	16	size	size	NOUN
cana-2377	17	17	,	,	PUNCT
cana-2377	17	18	position	position	NOUN
cana-2377	17	19	,	,	PUNCT
cana-2377	17	20	and	and	CCONJ
cana-2377	17	21	time	time	NOUN
cana-2377	17	22	of	of	ADP
cana-2377	17	23	the	the	DET
cana-2377	17	24	fault	fault	NOUN
cana-2377	17	25	.	.	PUNCT
cana-2377	18	1	fdi	fdi	NOUN
cana-2377	18	2	are	be	AUX
cana-2377	18	3	distinguished	distinguish	VERB
cana-2377	18	4	by	by	ADP
cana-2377	18	5	their	their	PRON
cana-2377	18	6	robustness	robustness	NOUN
cana-2377	18	7	,	,	PUNCT
cana-2377	18	8	rapid	rapid	ADJ
cana-2377	18	9	detection	detection	NOUN
cana-2377	18	10	,	,	PUNCT
cana-2377	18	11	and	and	CCONJ
cana-2377	18	12	isolation	isolation	NOUN
cana-2377	18	13	of	of	ADP
cana-2377	18	14	faults	fault	NOUN
cana-2377	18	15	.	.	PUNCT
cana-2377	19	1	this	this	DET
cana-2377	19	2	paper	paper	NOUN
cana-2377	19	3	compares	compare	VERB
cana-2377	19	4	the	the	DET
cana-2377	19	5	effectiveness	effectiveness	NOUN
cana-2377	19	6	of	of	ADP
cana-2377	19	7	extended	extended	ADJ
cana-2377	19	8	kalman	kalman	NOUN
cana-2377	19	9	filters	filter	NOUN
cana-2377	19	10	and	and	CCONJ
cana-2377	19	11	neural	neural	ADJ
cana-2377	19	12	network	network	NOUN
cana-2377	19	13	-	-	PUNCT
cana-2377	19	14	based	base	VERB
cana-2377	19	15	fault	fault	NOUN
cana-2377	19	16	diagnosis	diagnosis	NOUN
cana-2377	19	17	systems	system	NOUN
cana-2377	19	18	.	.	PUNCT
cana-2377	20	1	according	accord	VERB
cana-2377	20	2	to	to	ADP
cana-2377	20	3	simulation	simulation	NOUN
cana-2377	20	4	results	result	NOUN
cana-2377	20	5	,	,	PUNCT
cana-2377	20	6	the	the	DET
cana-2377	20	7	method	method	NOUN
cana-2377	20	8	has	have	VERB
cana-2377	20	9	a	a	DET
cana-2377	20	10	faster	fast	ADJ
cana-2377	20	11	convergence	convergence	NOUN
cana-2377	20	12	rate	rate	NOUN
cana-2377	20	13	and	and	CCONJ
cana-2377	20	14	a	a	DET
cana-2377	20	15	more	more	ADV
cana-2377	20	16	accurate	accurate	ADJ
cana-2377	20	17	identification	identification	NOUN
cana-2377	20	18	result	result	NOUN
cana-2377	20	19	than	than	ADP
cana-2377	20	20	the	the	DET
cana-2377	20	21	traditional	traditional	ADJ
cana-2377	20	22	ekf	ekf	NOUN
cana-2377	20	23	algorithm	algorithm	NOUN
cana-2377	20	24	.	.	PUNCT
cana-2377	21	1	keywords	keyword	NOUN
cana-2377	21	2	:	:	PUNCT
cana-2377	21	3	neural	neural	ADJ
cana-2377	21	4	networks	network	NOUN
cana-2377	21	5	;	;	PUNCT
cana-2377	21	6	fault	fault	VERB
cana-2377	21	7	detection	detection	NOUN
cana-2377	21	8	and	and	CCONJ
cana-2377	21	9	isolation	isolation	NOUN
cana-2377	21	10	(	(	PUNCT
cana-2377	21	11	fdi	fdi	PROPN
cana-2377	21	12	)	)	PUNCT
cana-2377	21	13	;	;	PUNCT
cana-2377	21	14	non	non	ADJ
cana-2377	21	15	-	-	ADJ
cana-2377	21	16	linear	linear	ADJ
cana-2377	21	17	systems	system	NOUN
cana-2377	21	18	;	;	PUNCT
cana-2377	21	19	extended	extend	VERB
cana-2377	21	20	kalman	kalman	NOUN
cana-2377	21	21	filter	filter	PROPN
cana-2377	21	22	(	(	PUNCT
cana-2377	21	23	ekf	ekf	PROPN
cana-2377	21	24	)	)	PUNCT
cana-2377	21	25	;	;	PUNCT
cana-2377	21	26	fault	fault	VERB
cana-2377	21	27	diagnosis	diagnosis	NOUN
cana-2377	21	28	.	.	PUNCT
cana-2377	22	1	1	1	X
cana-2377	22	2	.	.	X
cana-2377	22	3	introduction	introduction	NOUN
cana-2377	22	4	one	one	NUM
cana-2377	22	5	of	of	ADP
cana-2377	22	6	the	the	DET
cana-2377	22	7	critical	critical	ADJ
cana-2377	22	8	steps	step	NOUN
cana-2377	22	9	in	in	ADP
cana-2377	22	10	security	security	NOUN
cana-2377	22	11	and	and	CCONJ
cana-2377	22	12	intelligent	intelligent	ADJ
cana-2377	22	13	process	process	NOUN
cana-2377	22	14	control	control	NOUN
cana-2377	22	15	is	be	AUX
cana-2377	22	16	fault	fault	VERB
cana-2377	22	17	diagnosis	diagnosis	NOUN
cana-2377	22	18	.	.	PUNCT
cana-2377	23	1	initial	initial	ADJ
cana-2377	23	2	fault	fault	NOUN
cana-2377	23	3	detection	detection	NOUN
cana-2377	23	4	can	can	AUX
cana-2377	23	5	prevent	prevent	VERB
cana-2377	23	6	system	system	NOUN
cana-2377	23	7	shutdown	shutdown	NOUN
cana-2377	23	8	,	,	PUNCT
cana-2377	23	9	failure	failure	NOUN
cana-2377	23	10	,	,	PUNCT
cana-2377	23	11	and	and	CCONJ
cana-2377	23	12	even	even	ADV
cana-2377	23	13	disasters	disaster	NOUN
cana-2377	23	14	that	that	PRON
cana-2377	23	15	cause	cause	VERB
cana-2377	23	16	property	property	NOUN
cana-2377	23	17	damage	damage	NOUN
cana-2377	23	18	and	and	CCONJ
cana-2377	23	19	fatalities	fatality	NOUN
cana-2377	23	20	.	.	PUNCT
cana-2377	24	1	even	even	ADV
cana-2377	24	2	if	if	SCONJ
cana-2377	24	3	it	it	PRON
cana-2377	24	4	does	do	AUX
cana-2377	24	5	not	not	PART
cana-2377	24	6	result	result	VERB
cana-2377	24	7	in	in	ADP
cana-2377	24	8	a	a	DET
cana-2377	24	9	physical	physical	ADJ
cana-2377	24	10	breakdown	breakdown	NOUN
cana-2377	24	11	or	or	CCONJ
cana-2377	24	12	failure	failure	NOUN
cana-2377	24	13	,	,	PUNCT
cana-2377	24	14	a	a	DET
cana-2377	24	15	fault	fault	NOUN
cana-2377	24	16	is	be	AUX
cana-2377	24	17	to	to	PART
cana-2377	24	18	be	be	AUX
cana-2377	24	19	comprehended	comprehend	VERB
cana-2377	24	20	as	as	ADP
cana-2377	24	21	an	an	DET
cana-2377	24	22	unexpected	unexpected	ADJ
cana-2377	24	23	development	development	NOUN
cana-2377	24	24	in	in	ADP
cana-2377	24	25	how	how	SCONJ
cana-2377	24	26	a	a	DET
cana-2377	24	27	system	system	NOUN
cana-2377	24	28	operates	operate	VERB
cana-2377	24	29	.	.	PUNCT
cana-2377	25	1	an	an	DET
cana-2377	25	2	automatic	automatic	ADJ
cana-2377	25	3	system	system	NOUN
cana-2377	25	4	's	's	PART
cana-2377	25	5	normal	normal	ADJ
cana-2377	25	6	operation	operation	NOUN
cana-2377	25	7	can	can	AUX
cana-2377	25	8	be	be	AUX
cana-2377	25	9	hindered	hinder	VERB
cana-2377	25	10	or	or	CCONJ
cana-2377	25	11	disturbed	disturb	VERB
cana-2377	25	12	by	by	ADP
cana-2377	25	13	faults	fault	NOUN
cana-2377	25	14	,	,	PUNCT
cana-2377	25	15	which	which	PRON
cana-2377	25	16	can	can	AUX
cana-2377	25	17	result	result	VERB
cana-2377	25	18	in	in	ADP
cana-2377	25	19	a	a	DET
cana-2377	25	20	slowdown	slowdown	NOUN
cana-2377	25	21	that	that	PRON
cana-2377	25	22	is	be	AUX
cana-2377	25	23	unacceptable	unacceptable	ADJ
cana-2377	25	24	or	or	CCONJ
cana-2377	25	25	even	even	ADV
cana-2377	25	26	dangerous	dangerous	ADJ
cana-2377	25	27	operation	operation	NOUN
cana-2377	25	28	.	.	PUNCT
cana-2377	26	1	a	a	DET
cana-2377	26	2	fault	fault	NOUN
cana-2377	26	3	diagnosis	diagnosis	NOUN
cana-2377	26	4	system	system	NOUN
cana-2377	26	5	is	be	AUX
cana-2377	26	6	a	a	DET
cana-2377	26	7	surveillance	surveillance	NOUN
cana-2377	26	8	or	or	CCONJ
cana-2377	26	9	supervisory	supervisory	ADJ
cana-2377	26	10	tool	tool	NOUN
cana-2377	26	11	that	that	PRON
cana-2377	26	12	is	be	AUX
cana-2377	26	13	used	use	VERB
cana-2377	26	14	to	to	PART
cana-2377	26	15	locate	locate	VERB
cana-2377	26	16	faults	fault	NOUN
cana-2377	26	17	in	in	ADP
cana-2377	26	18	a	a	DET
cana-2377	26	19	system	system	NOUN
cana-2377	26	20	,	,	PUNCT
cana-2377	26	21	determine	determine	VERB
cana-2377	26	22	their	their	PRON
cana-2377	26	23	type	type	NOUN
cana-2377	26	24	or	or	CCONJ
cana-2377	26	25	qualities	quality	NOUN
cana-2377	26	26	,	,	PUNCT
cana-2377	26	27	and	and	CCONJ
cana-2377	26	28	isolate	isolate	VERB
cana-2377	26	29	them	they	PRON
cana-2377	26	30	.	.	PUNCT
cana-2377	27	1	as	as	ADP
cana-2377	27	2	the	the	DET
cana-2377	27	3	two	two	NUM
cana-2377	27	4	most	most	ADV
cana-2377	27	5	crucial	crucial	ADJ
cana-2377	27	6	mailto:vishnudms@gmail.com	mailto:vishnudms@gmail.com	NOUN
cana-2377	27	7	mailto:gnanamurthyspec@gmail.com	mailto:gnanamurthyspec@gmail.com	NOUN
cana-2377	27	8	mailto:mvsakthi@gmail.com	mailto:mvsakthi@gmail.com	PROPN
cana-2377	27	9	mailto:dhanawaves@gmail.com	mailto:dhanawaves@gmail.com	PROPN
cana-2377	28	1	communications	communication	NOUN
cana-2377	28	2	on	on	ADP
cana-2377	28	3	applied	apply	VERB
cana-2377	28	4	nonlinear	nonlinear	ADJ
cana-2377	28	5	analysis	analysis	NOUN
cana-2377	28	6	issn	issn	NOUN
cana-2377	28	7	:	:	PUNCT
cana-2377	28	8	1074	1074	NUM
cana-2377	28	9	-	-	PUNCT
cana-2377	28	10	133x	133x	NUM
cana-2377	28	11	vol	vol	NOUN
cana-2377	28	12	32	32	NUM
cana-2377	28	13	no	no	NOUN
cana-2377	28	14	.	.	NOUN
cana-2377	28	15	3	3	NUM
cana-2377	28	16	(	(	PUNCT
cana-2377	28	17	2025	2025	NUM
cana-2377	28	18	)	)	PUNCT
cana-2377	28	19	627	627	NUM
cana-2377	28	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	28	21	functions	function	NOUN
cana-2377	28	22	of	of	ADP
cana-2377	28	23	a	a	DET
cana-2377	28	24	diagnosis	diagnosis	NOUN
cana-2377	28	25	system	system	NOUN
cana-2377	28	26	,	,	PUNCT
cana-2377	28	27	fault	fault	NOUN
cana-2377	28	28	detection	detection	NOUN
cana-2377	28	29	,	,	PUNCT
cana-2377	28	30	and	and	CCONJ
cana-2377	28	31	isolation	isolation	NOUN
cana-2377	28	32	(	(	PUNCT
cana-2377	28	33	fdi	fdi	NOUN
cana-2377	28	34	)	)	PUNCT
cana-2377	28	35	are	be	AUX
cana-2377	28	36	commonly	commonly	ADV
cana-2377	28	37	used	use	VERB
cana-2377	28	38	to	to	PART
cana-2377	28	39	refer	refer	VERB
cana-2377	28	40	to	to	PART
cana-2377	28	41	fault	fault	VERB
cana-2377	28	42	diagnosis	diagnosis	NOUN
cana-2377	28	43	[	[	X
cana-2377	28	44	1	1	NUM
cana-2377	28	45	]	]	PUNCT
cana-2377	28	46	.	.	PUNCT
cana-2377	29	1	the	the	DET
cana-2377	29	2	majority	majority	NOUN
cana-2377	29	3	of	of	ADP
cana-2377	29	4	methods	method	NOUN
cana-2377	29	5	used	use	VERB
cana-2377	29	6	to	to	PART
cana-2377	29	7	identify	identify	VERB
cana-2377	29	8	major	major	ADJ
cana-2377	29	9	faults	fault	NOUN
cana-2377	29	10	in	in	ADP
cana-2377	29	11	the	the	DET
cana-2377	29	12	research	research	NOUN
cana-2377	29	13	are	be	AUX
cana-2377	29	14	based	base	VERB
cana-2377	29	15	on	on	ADP
cana-2377	29	16	linear	linear	PROPN
cana-2377	29	17	theory	theory	NOUN
cana-2377	29	18	or	or	CCONJ
cana-2377	29	19	precise	precise	ADJ
cana-2377	29	20	models	model	NOUN
cana-2377	29	21	.	.	PUNCT
cana-2377	30	1	particularly	particularly	ADV
cana-2377	30	2	,	,	PUNCT
cana-2377	30	3	initial	initial	ADJ
cana-2377	30	4	fault	fault	NOUN
cana-2377	30	5	detection	detection	NOUN
cana-2377	30	6	and	and	CCONJ
cana-2377	30	7	diagnosis	diagnosis	NOUN
cana-2377	30	8	techniques	technique	NOUN
cana-2377	30	9	are	be	AUX
cana-2377	30	10	useful	useful	ADJ
cana-2377	30	11	for	for	ADP
cana-2377	30	12	carrying	carry	VERB
cana-2377	30	13	out	out	ADP
cana-2377	30	14	safety	safety	NOUN
cana-2377	30	15	precautions	precaution	NOUN
cana-2377	30	16	.	.	PUNCT
cana-2377	31	1	the	the	DET
cana-2377	31	2	following	follow	VERB
cana-2377	31	3	conditions	condition	NOUN
cana-2377	31	4	should	should	AUX
cana-2377	31	5	be	be	AUX
cana-2377	31	6	attached	attach	VERB
cana-2377	31	7	to	to	ADP
cana-2377	31	8	these	these	DET
cana-2377	31	9	methods	method	NOUN
cana-2377	31	10	:	:	PUNCT
cana-2377	31	11	✓	✓	ADJ
cana-2377	31	12	quality	quality	NOUN
cana-2377	31	13	and	and	CCONJ
cana-2377	31	14	standard	standard	ADJ
cana-2377	31	15	developments	development	NOUN
cana-2377	31	16	✓	✓	ADJ
cana-2377	31	17	knowledge	knowledge	NOUN
cana-2377	31	18	of	of	ADP
cana-2377	31	19	the	the	DET
cana-2377	31	20	relationship	relationship	NOUN
cana-2377	31	21	between	between	ADP
cana-2377	31	22	mistakes	mistake	NOUN
cana-2377	31	23	and	and	CCONJ
cana-2377	31	24	diagnosis	diagnosis	NOUN
cana-2377	31	25	✓	✓	ADJ
cana-2377	31	26	creation	creation	NOUN
cana-2377	31	27	of	of	ADP
cana-2377	31	28	innovative	innovative	ADJ
cana-2377	31	29	products	product	NOUN
cana-2377	31	30	and	and	CCONJ
cana-2377	31	31	technologies	technology	NOUN
cana-2377	31	32	that	that	PRON
cana-2377	31	33	are	be	AUX
cana-2377	31	34	profitable	profitable	ADJ
cana-2377	31	35	the	the	DET
cana-2377	31	36	fundamental	fundamental	ADJ
cana-2377	31	37	goal	goal	NOUN
cana-2377	31	38	of	of	ADP
cana-2377	31	39	this	this	DET
cana-2377	31	40	scheme	scheme	NOUN
cana-2377	31	41	is	be	AUX
cana-2377	31	42	to	to	PART
cana-2377	31	43	produce	produce	VERB
cana-2377	31	44	signals	signal	NOUN
cana-2377	31	45	that	that	PRON
cana-2377	31	46	indicate	indicate	VERB
cana-2377	31	47	discrepancies	discrepancy	NOUN
cana-2377	31	48	between	between	ADP
cana-2377	31	49	detected	detect	VERB
cana-2377	31	50	and	and	CCONJ
cana-2377	31	51	tested	test	VERB
cana-2377	31	52	operating	operating	NOUN
cana-2377	31	53	system	system	NOUN
cana-2377	31	54	parameters	parameter	NOUN
cana-2377	31	55	.	.	PUNCT
cana-2377	32	1	regretfully	regretfully	ADV
cana-2377	32	2	,	,	PUNCT
cana-2377	32	3	a	a	DET
cana-2377	32	4	popular	popular	ADJ
cana-2377	32	5	flaw	flaw	NOUN
cana-2377	32	6	in	in	ADP
cana-2377	32	7	these	these	DET
cana-2377	32	8	methods	method	NOUN
cana-2377	32	9	is	be	AUX
cana-2377	32	10	that	that	SCONJ
cana-2377	32	11	an	an	DET
cana-2377	32	12	exact	exact	ADJ
cana-2377	32	13	mathematical	mathematical	ADJ
cana-2377	32	14	model	model	NOUN
cana-2377	32	15	of	of	ADP
cana-2377	32	16	the	the	DET
cana-2377	32	17	diagnosed	diagnose	VERB
cana-2377	32	18	plant	plant	NOUN
cana-2377	32	19	is	be	AUX
cana-2377	32	20	necessary	necessary	ADJ
cana-2377	32	21	.	.	PUNCT
cana-2377	33	1	the	the	DET
cana-2377	33	2	modeling	modeling	NOUN
cana-2377	33	3	process	process	NOUN
cana-2377	33	4	is	be	AUX
cana-2377	33	5	frequently	frequently	ADV
cana-2377	33	6	time	time	NOUN
cana-2377	33	7	-	-	PUNCT
cana-2377	33	8	consuming	consume	VERB
cana-2377	33	9	for	for	ADP
cana-2377	33	10	complex	complex	ADJ
cana-2377	33	11	and	and	CCONJ
cana-2377	33	12	nonlinear	nonlinear	ADJ
cana-2377	33	13	systems	system	NOUN
cana-2377	33	14	,	,	PUNCT
cana-2377	33	15	and	and	CCONJ
cana-2377	33	16	computational	computational	ADJ
cana-2377	33	17	methods	method	NOUN
cana-2377	33	18	either	either	CCONJ
cana-2377	33	19	can	can	AUX
cana-2377	33	20	not	not	PART
cana-2377	33	21	be	be	AUX
cana-2377	33	22	computed	compute	VERB
cana-2377	33	23	or	or	CCONJ
cana-2377	33	24	produce	produce	VERB
cana-2377	33	25	unreliable	unreliable	ADJ
cana-2377	33	26	results	result	NOUN
cana-2377	33	27	[	[	X
cana-2377	33	28	2	2	NUM
cana-2377	33	29	]	]	PUNCT
cana-2377	33	30	.	.	PUNCT
cana-2377	34	1	trying	try	VERB
cana-2377	34	2	to	to	PART
cana-2377	34	3	deliver	deliver	VERB
cana-2377	34	4	alarm	alarm	NOUN
cana-2377	34	5	systems	system	NOUN
cana-2377	34	6	in	in	ADP
cana-2377	34	7	the	the	DET
cana-2377	34	8	event	event	NOUN
cana-2377	34	9	of	of	ADP
cana-2377	34	10	faults	fault	NOUN
cana-2377	34	11	is	be	AUX
cana-2377	34	12	the	the	DET
cana-2377	34	13	purpose	purpose	NOUN
cana-2377	34	14	of	of	ADP
cana-2377	34	15	fault	fault	NOUN
cana-2377	34	16	detection	detection	NOUN
cana-2377	34	17	.	.	PUNCT
cana-2377	35	1	it	it	PRON
cana-2377	35	2	is	be	AUX
cana-2377	35	3	the	the	DET
cana-2377	35	4	purpose	purpose	NOUN
cana-2377	35	5	of	of	ADP
cana-2377	35	6	fault	fault	NOUN
cana-2377	35	7	diagnosis	diagnosis	NOUN
cana-2377	35	8	to	to	PART
cana-2377	35	9	identify	identify	VERB
cana-2377	35	10	the	the	DET
cana-2377	35	11	kind	kind	NOUN
cana-2377	35	12	,	,	PUNCT
cana-2377	35	13	size	size	NOUN
cana-2377	35	14	,	,	PUNCT
cana-2377	35	15	and	and	CCONJ
cana-2377	35	16	placement	placement	NOUN
cana-2377	35	17	of	of	ADP
cana-2377	35	18	faults	fault	NOUN
cana-2377	35	19	.	.	PUNCT
cana-2377	36	1	the	the	DET
cana-2377	36	2	observed	observe	VERB
cana-2377	36	3	system	system	NOUN
cana-2377	36	4	and	and	CCONJ
cana-2377	36	5	our	our	PRON
cana-2377	36	6	understanding	understanding	NOUN
cana-2377	36	7	of	of	ADP
cana-2377	36	8	the	the	DET
cana-2377	36	9	process	process	NOUN
cana-2377	36	10	serve	serve	VERB
cana-2377	36	11	as	as	ADP
cana-2377	36	12	the	the	DET
cana-2377	36	13	foundation	foundation	NOUN
cana-2377	36	14	for	for	ADP
cana-2377	36	15	detection	detection	NOUN
cana-2377	36	16	and	and	CCONJ
cana-2377	36	17	diagnostic	diagnostic	ADJ
cana-2377	36	18	test	test	NOUN
cana-2377	36	19	methods	method	NOUN
cana-2377	36	20	.	.	PUNCT
cana-2377	37	1	therefore	therefore	ADV
cana-2377	37	2	,	,	PUNCT
cana-2377	37	3	measurements	measurement	NOUN
cana-2377	37	4	that	that	PRON
cana-2377	37	5	have	have	AUX
cana-2377	37	6	been	be	AUX
cana-2377	37	7	noticed	notice	VERB
cana-2377	37	8	and	and	CCONJ
cana-2377	37	9	process	process	NOUN
cana-2377	37	10	knowledge	knowledge	NOUN
cana-2377	37	11	that	that	PRON
cana-2377	37	12	is	be	AUX
cana-2377	37	13	relevant	relevant	ADJ
cana-2377	37	14	to	to	ADP
cana-2377	37	15	the	the	DET
cana-2377	37	16	fault	fault	NOUN
cana-2377	37	17	are	be	AUX
cana-2377	37	18	the	the	DET
cana-2377	37	19	input	input	NOUN
cana-2377	37	20	data	datum	NOUN
cana-2377	37	21	of	of	ADP
cana-2377	37	22	a	a	DET
cana-2377	37	23	knowledge	knowledge	NOUN
cana-2377	37	24	-	-	PUNCT
cana-2377	37	25	based	base	VERB
cana-2377	37	26	fault	fault	NOUN
cana-2377	37	27	diagnosis	diagnosis	NOUN
cana-2377	37	28	system	system	NOUN
cana-2377	37	29	.	.	PUNCT
cana-2377	38	1	the	the	DET
cana-2377	38	2	diagnosis	diagnosis	NOUN
cana-2377	38	3	of	of	ADP
cana-2377	38	4	valves	valve	NOUN
cana-2377	38	5	,	,	PUNCT
cana-2377	38	6	detectors	detector	NOUN
cana-2377	38	7	,	,	PUNCT
cana-2377	38	8	and	and	CCONJ
cana-2377	38	9	components	component	NOUN
cana-2377	38	10	of	of	ADP
cana-2377	38	11	the	the	DET
cana-2377	38	12	system	system	NOUN
cana-2377	38	13	can	can	AUX
cana-2377	38	14	then	then	ADV
cana-2377	38	15	be	be	AUX
cana-2377	38	16	accomplished	accomplish	VERB
cana-2377	38	17	either	either	CCONJ
cana-2377	38	18	using	use	VERB
cana-2377	38	19	a	a	DET
cana-2377	38	20	municipal	municipal	ADJ
cana-2377	38	21	intelligence	intelligence	NOUN
cana-2377	38	22	and	and	CCONJ
cana-2377	38	23	identity	identity	NOUN
cana-2377	38	24	method	method	NOUN
cana-2377	38	25	or	or	CCONJ
cana-2377	38	26	a	a	DET
cana-2377	38	27	remote	remote	ADJ
cana-2377	38	28	and	and	CCONJ
cana-2377	38	29	supervisory	supervisory	ADJ
cana-2377	38	30	diagnosis	diagnosis	NOUN
cana-2377	38	31	system	system	NOUN
cana-2377	38	32	.	.	PUNCT
cana-2377	39	1	these	these	DET
cana-2377	39	2	fault	fault	NOUN
cana-2377	39	3	detection	detection	NOUN
cana-2377	39	4	and	and	CCONJ
cana-2377	39	5	identity	identity	NOUN
cana-2377	39	6	methods	method	NOUN
cana-2377	39	7	are	be	AUX
cana-2377	39	8	widely	widely	ADV
cana-2377	39	9	used	use	VERB
cana-2377	39	10	in	in	ADP
cana-2377	39	11	a	a	DET
cana-2377	39	12	wide	wide	ADJ
cana-2377	39	13	range	range	NOUN
cana-2377	39	14	of	of	ADP
cana-2377	39	15	applications	application	NOUN
cana-2377	39	16	.	.	PUNCT
cana-2377	40	1	the	the	DET
cana-2377	40	2	challenge	challenge	NOUN
cana-2377	40	3	with	with	ADP
cana-2377	40	4	fdi	fdi	NOUN
cana-2377	40	5	is	be	AUX
cana-2377	40	6	typically	typically	ADV
cana-2377	40	7	in	in	ADP
cana-2377	40	8	making	make	VERB
cana-2377	40	9	an	an	DET
cana-2377	40	10	early	early	ADJ
cana-2377	40	11	diagnosis	diagnosis	NOUN
cana-2377	40	12	.	.	PUNCT
cana-2377	41	1	even	even	ADV
cana-2377	41	2	though	though	SCONJ
cana-2377	41	3	algorithms	algorithm	NOUN
cana-2377	41	4	with	with	ADP
cana-2377	41	5	short	short	ADJ
cana-2377	41	6	delays	delay	NOUN
cana-2377	41	7	are	be	AUX
cana-2377	41	8	typically	typically	ADV
cana-2377	41	9	used	use	VERB
cana-2377	41	10	for	for	ADP
cana-2377	41	11	detection	detection	NOUN
cana-2377	41	12	,	,	PUNCT
cana-2377	41	13	diagnosis	diagnosis	NOUN
cana-2377	41	14	takes	take	VERB
cana-2377	41	15	more	more	ADJ
cana-2377	41	16	time	time	NOUN
cana-2377	41	17	because	because	SCONJ
cana-2377	41	18	it	it	PRON
cana-2377	41	19	needs	need	VERB
cana-2377	41	20	to	to	PART
cana-2377	41	21	gather	gather	VERB
cana-2377	41	22	data	datum	NOUN
cana-2377	41	23	and	and	CCONJ
cana-2377	41	24	analyze	analyze	VERB
cana-2377	41	25	the	the	DET
cana-2377	41	26	background	background	NOUN
cana-2377	42	1	[	[	X
cana-2377	42	2	3	3	NUM
cana-2377	42	3	]	]	PUNCT
cana-2377	42	4	.	.	PUNCT
cana-2377	43	1	figure	figure	VERB
cana-2377	43	2	1.1	1.1	NUM
cana-2377	43	3	.	.	PUNCT
cana-2377	44	1	classification	classification	NOUN
cana-2377	44	2	of	of	ADP
cana-2377	44	3	fdi	fdi	NOUN
cana-2377	44	4	the	the	DET
cana-2377	44	5	major	major	ADJ
cana-2377	44	6	contribution	contribution	NOUN
cana-2377	44	7	of	of	ADP
cana-2377	44	8	the	the	DET
cana-2377	44	9	proposed	propose	VERB
cana-2377	44	10	approach	approach	NOUN
cana-2377	44	11	•	•	ADP
cana-2377	44	12	it	it	PRON
cana-2377	44	13	performs	perform	VERB
cana-2377	44	14	better	well	ADJ
cana-2377	44	15	than	than	ADP
cana-2377	44	16	the	the	DET
cana-2377	44	17	neural	neural	ADJ
cana-2377	44	18	network	network	NOUN
cana-2377	44	19	approach	approach	NOUN
cana-2377	44	20	.	.	PUNCT
cana-2377	45	1	•	•	NUM
cana-2377	45	2	it	it	PRON
cana-2377	45	3	performs	perform	VERB
cana-2377	45	4	similarly	similarly	ADV
cana-2377	45	5	to	to	ADP
cana-2377	45	6	the	the	DET
cana-2377	45	7	best	good	ADJ
cana-2377	45	8	filtering	filtering	NOUN
cana-2377	45	9	method	method	NOUN
cana-2377	45	10	,	,	PUNCT
cana-2377	45	11	but	but	CCONJ
cana-2377	45	12	with	with	ADP
cana-2377	45	13	less	less	ADV
cana-2377	45	14	computational	computational	ADJ
cana-2377	45	15	complexity	complexity	NOUN
cana-2377	45	16	.	.	PUNCT
cana-2377	46	1	•	•	NUM
cana-2377	46	2	compared	compare	VERB
cana-2377	46	3	to	to	ADP
cana-2377	46	4	the	the	DET
cana-2377	46	5	ideal	ideal	ADJ
cana-2377	46	6	filtering	filtering	NOUN
cana-2377	46	7	method	method	NOUN
cana-2377	46	8	,	,	PUNCT
cana-2377	46	9	it	it	PRON
cana-2377	46	10	is	be	AUX
cana-2377	46	11	more	more	ADV
cana-2377	46	12	reliable	reliable	ADJ
cana-2377	46	13	.	.	PUNCT
cana-2377	47	1	the	the	DET
cana-2377	47	2	paper	paper	NOUN
cana-2377	47	3	is	be	AUX
cana-2377	47	4	organised	organise	VERB
cana-2377	47	5	as	as	SCONJ
cana-2377	47	6	follows	follow	VERB
cana-2377	47	7	:	:	PUNCT
cana-2377	47	8	section	section	NOUN
cana-2377	47	9	2	2	NUM
cana-2377	47	10	discusses	discuss	VERB
cana-2377	47	11	the	the	DET
cana-2377	47	12	related	relate	VERB
cana-2377	47	13	works	work	NOUN
cana-2377	47	14	;	;	PUNCT
cana-2377	47	15	section	section	NOUN
cana-2377	47	16	3	3	NUM
cana-2377	47	17	describes	describe	VERB
cana-2377	47	18	the	the	DET
cana-2377	47	19	method	method	NOUN
cana-2377	47	20	of	of	ADP
cana-2377	47	21	fault	fault	NOUN
cana-2377	47	22	diagnosis	diagnosis	NOUN
cana-2377	47	23	that	that	PRON
cana-2377	47	24	uses	use	VERB
cana-2377	47	25	the	the	DET
cana-2377	47	26	structures	structure	NOUN
cana-2377	47	27	of	of	ADP
cana-2377	47	28	neural	neural	ADJ
cana-2377	47	29	networks	network	NOUN
cana-2377	47	30	;	;	PUNCT
cana-2377	47	31	section	section	NOUN
cana-2377	47	32	4	4	NUM
cana-2377	47	33	additionally	additionally	ADV
cana-2377	47	34	reported	report	VERB
cana-2377	47	35	fdi	fdi	PROPN
cana-2377	47	36	appro	appro	ADJ
cana-2377	47	37	model	model	NOUN
cana-2377	47	38	-	-	PUNCT
cana-2377	47	39	based	base	VERB
cana-2377	47	40	knowledge	knowledge	NOUN
cana-2377	47	41	-	-	PUNCT
cana-2377	47	42	based	base	VERB
cana-2377	47	43	observer	observer	NOUN
cana-2377	47	44	kalman	kalman	NOUN
cana-2377	47	45	extended	extend	VERB
cana-2377	47	46	kalman	kalman	PROPN
cana-2377	47	47	filter	filter	NOUN
cana-2377	47	48	communications	communication	NOUN
cana-2377	47	49	on	on	ADP
cana-2377	47	50	applied	apply	VERB
cana-2377	47	51	nonlinear	nonlinear	ADJ
cana-2377	47	52	analysis	analysis	NOUN
cana-2377	47	53	issn	issn	NOUN
cana-2377	47	54	:	:	PUNCT
cana-2377	47	55	1074	1074	NUM
cana-2377	47	56	-	-	PUNCT
cana-2377	47	57	133x	133x	NUM
cana-2377	47	58	vol	vol	NOUN
cana-2377	47	59	32	32	NUM
cana-2377	47	60	no	no	NOUN
cana-2377	47	61	.	.	NOUN
cana-2377	47	62	3	3	NUM
cana-2377	47	63	(	(	PUNCT
cana-2377	47	64	2025	2025	NUM
cana-2377	47	65	)	)	PUNCT
cana-2377	47	66	628	628	NUM
cana-2377	47	67	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	47	68	comparisons	comparison	NOUN
cana-2377	47	69	with	with	ADP
cana-2377	47	70	various	various	ADJ
cana-2377	47	71	fault	fault	NOUN
cana-2377	47	72	detection	detection	NOUN
cana-2377	47	73	and	and	CCONJ
cana-2377	47	74	isolation	isolation	NOUN
cana-2377	47	75	(	(	PUNCT
cana-2377	47	76	fdi	fdi	NOUN
cana-2377	47	77	)	)	PUNCT
cana-2377	47	78	approaches	approach	NOUN
cana-2377	47	79	.	.	PUNCT
cana-2377	48	1	lastly	lastly	ADV
cana-2377	48	2	,	,	PUNCT
cana-2377	48	3	section	section	NOUN
cana-2377	48	4	5	5	NUM
cana-2377	48	5	takes	take	VERB
cana-2377	48	6	the	the	DET
cana-2377	48	7	paper	paper	NOUN
cana-2377	48	8	to	to	ADP
cana-2377	48	9	a	a	DET
cana-2377	48	10	close	close	NOUN
cana-2377	48	11	by	by	ADP
cana-2377	48	12	explaining	explain	VERB
cana-2377	48	13	the	the	DET
cana-2377	48	14	main	main	ADJ
cana-2377	48	15	points	point	NOUN
cana-2377	48	16	made	make	VERB
cana-2377	48	17	and	and	CCONJ
cana-2377	48	18	making	make	VERB
cana-2377	48	19	some	some	DET
cana-2377	48	20	suggestions	suggestion	NOUN
cana-2377	48	21	for	for	ADP
cana-2377	48	22	additional	additional	ADJ
cana-2377	48	23	scientific	scientific	ADJ
cana-2377	48	24	fields	field	NOUN
cana-2377	48	25	.	.	PUNCT
cana-2377	49	1	2	2	X
cana-2377	49	2	.	.	NUM
cana-2377	49	3	related	relate	VERB
cana-2377	49	4	works	work	NOUN
cana-2377	49	5	ene	ene	PROPN
cana-2377	49	6	,	,	PUNCT
cana-2377	49	7	m	m	PROPN
cana-2377	49	8	donald	donald	PROPN
cana-2377	49	9	el.al	el.al	PROPN
cana-2377	50	1	[	[	X
cana-2377	50	2	4	4	NUM
cana-2377	50	3	]	]	PUNCT
cana-2377	50	4	introduced	introduce	VERB
cana-2377	50	5	stochastic	stochastic	ADJ
cana-2377	50	6	neural	neural	ADJ
cana-2377	50	7	networks	network	NOUN
cana-2377	50	8	,	,	PUNCT
cana-2377	50	9	which	which	PRON
cana-2377	50	10	are	be	AUX
cana-2377	50	11	four	four	NUM
cana-2377	50	12	-	-	PUNCT
cana-2377	50	13	layered	layer	VERB
cana-2377	50	14	radial	radial	ADJ
cana-2377	50	15	basis	basis	NOUN
cana-2377	50	16	neural	neural	ADJ
cana-2377	50	17	networks	network	NOUN
cana-2377	50	18	.	.	PUNCT
cana-2377	51	1	through	through	ADP
cana-2377	51	2	the	the	DET
cana-2377	51	3	use	use	NOUN
cana-2377	51	4	of	of	ADP
cana-2377	51	5	a	a	DET
cana-2377	51	6	method	method	NOUN
cana-2377	51	7	based	base	VERB
cana-2377	51	8	on	on	ADP
cana-2377	51	9	the	the	DET
cana-2377	51	10	bayes	bayes	PROPN
cana-2377	51	11	probabilistic	probabilistic	ADJ
cana-2377	51	12	rule	rule	NOUN
cana-2377	51	13	,	,	PUNCT
cana-2377	51	14	this	this	DET
cana-2377	51	15	specific	specific	ADJ
cana-2377	51	16	type	type	NOUN
cana-2377	51	17	of	of	ADP
cana-2377	51	18	neural	neural	ADJ
cana-2377	51	19	network	network	NOUN
cana-2377	51	20	provides	provide	VERB
cana-2377	51	21	a	a	DET
cana-2377	51	22	solution	solution	NOUN
cana-2377	51	23	for	for	ADP
cana-2377	51	24	classification	classification	NOUN
cana-2377	51	25	tasks	task	NOUN
cana-2377	51	26	.	.	PUNCT
cana-2377	52	1	thirumarimurugan	thirumarimurugan	PROPN
cana-2377	52	2	,	,	PUNCT
cana-2377	52	3	el.al	el.al	PROPN
cana-2377	53	1	[	[	X
cana-2377	53	2	5	5	NUM
cana-2377	53	3	]	]	PUNCT
cana-2377	53	4	the	the	DET
cana-2377	53	5	primary	primary	ADJ
cana-2377	53	6	problems	problem	NOUN
cana-2377	53	7	with	with	ADP
cana-2377	53	8	hardware	hardware	NOUN
cana-2377	53	9	redundant	redundant	ADJ
cana-2377	53	10	systems	system	NOUN
cana-2377	53	11	include	include	VERB
cana-2377	53	12	the	the	DET
cana-2377	53	13	extra	extra	ADJ
cana-2377	53	14	machinery	machinery	NOUN
cana-2377	53	15	and	and	CCONJ
cana-2377	53	16	construction	construction	NOUN
cana-2377	53	17	expenditures	expenditure	NOUN
cana-2377	53	18	,	,	PUNCT
cana-2377	53	19	as	as	ADV
cana-2377	53	20	well	well	ADV
cana-2377	53	21	as	as	ADP
cana-2377	53	22	the	the	DET
cana-2377	53	23	additional	additional	ADJ
cana-2377	53	24	room	room	NOUN
cana-2377	53	25	required	require	VERB
cana-2377	53	26	to	to	PART
cana-2377	53	27	store	store	VERB
cana-2377	53	28	the	the	DET
cana-2377	53	29	tackle	tackle	NOUN
cana-2377	53	30	..	..	PUNCT
cana-2377	53	31	diagnostic	diagnostic	ADJ
cana-2377	53	32	redundancy	redundancy	NOUN
cana-2377	53	33	,	,	PUNCT
cana-2377	53	34	based	base	VERB
cana-2377	53	35	on	on	ADP
cana-2377	53	36	residuals	residual	NOUN
cana-2377	53	37	,	,	PUNCT
cana-2377	53	38	overcomes	overcome	VERB
cana-2377	53	39	the	the	DET
cana-2377	53	40	limitations	limitation	NOUN
cana-2377	53	41	of	of	ADP
cana-2377	53	42	physical	physical	ADJ
cana-2377	53	43	redundancy	redundancy	NOUN
cana-2377	53	44	.	.	PUNCT
cana-2377	54	1	a	a	DET
cana-2377	54	2	set	set	NOUN
cana-2377	54	3	of	of	ADP
cana-2377	54	4	residuals	residual	NOUN
cana-2377	54	5	must	must	AUX
cana-2377	54	6	be	be	AUX
cana-2377	54	7	produced	produce	VERB
cana-2377	54	8	to	to	PART
cana-2377	54	9	achieve	achieve	VERB
cana-2377	54	10	fdi	fdi	NOUN
cana-2377	54	11	.	.	PUNCT
cana-2377	55	1	the	the	DET
cana-2377	55	2	residual	residual	ADJ
cana-2377	55	3	is	be	AUX
cana-2377	55	4	the	the	DET
cana-2377	55	5	variation	variation	NOUN
cana-2377	55	6	between	between	ADP
cana-2377	55	7	the	the	DET
cana-2377	55	8	output	output	NOUN
cana-2377	55	9	response	response	NOUN
cana-2377	55	10	that	that	PRON
cana-2377	55	11	has	have	AUX
cana-2377	55	12	been	be	AUX
cana-2377	55	13	measured	measure	VERB
cana-2377	55	14	and	and	CCONJ
cana-2377	55	15	predicted	predict	VERB
cana-2377	55	16	.	.	PUNCT
cana-2377	56	1	there	there	PRON
cana-2377	56	2	are	be	VERB
cana-2377	56	3	many	many	ADJ
cana-2377	56	4	two	two	NUM
cana-2377	56	5	steps	step	NOUN
cana-2377	56	6	in	in	ADP
cana-2377	56	7	the	the	DET
cana-2377	56	8	fault	fault	NOUN
cana-2377	56	9	detection	detection	NOUN
cana-2377	56	10	algorithm	algorithm	NOUN
cana-2377	56	11	:	:	PUNCT
cana-2377	56	12	residual	residual	ADJ
cana-2377	56	13	generation	generation	NOUN
cana-2377	56	14	and	and	CCONJ
cana-2377	56	15	residual	residual	ADJ
cana-2377	56	16	evaluation	evaluation	NOUN
cana-2377	56	17	.	.	PUNCT
cana-2377	57	1	rahimi	rahimi	NOUN
cana-2377	57	2	,	,	PUNCT
cana-2377	57	3	a.	a.	PROPN
cana-2377	57	4	el.al	el.al	PROPN
cana-2377	58	1	[	[	X
cana-2377	58	2	6	6	NUM
cana-2377	58	3	]	]	PUNCT
cana-2377	58	4	the	the	DET
cana-2377	58	5	kalman	kalman	PROPN
cana-2377	58	6	filter	filter	PROPN
cana-2377	58	7	(	(	PUNCT
cana-2377	58	8	kf	kf	PROPN
cana-2377	58	9	)	)	PUNCT
cana-2377	58	10	is	be	AUX
cana-2377	58	11	a	a	DET
cana-2377	58	12	design	design	NOUN
cana-2377	58	13	observer	observer	NOUN
cana-2377	58	14	that	that	PRON
cana-2377	58	15	generates	generate	VERB
cana-2377	58	16	predictions	prediction	NOUN
cana-2377	58	17	based	base	VERB
cana-2377	58	18	on	on	ADP
cana-2377	58	19	a	a	DET
cana-2377	58	20	system	system	NOUN
cana-2377	58	21	's	's	PART
cana-2377	58	22	stochastic	stochastic	ADJ
cana-2377	58	23	characteristics	characteristic	NOUN
cana-2377	58	24	.	.	PUNCT
cana-2377	59	1	due	due	ADP
cana-2377	59	2	to	to	ADP
cana-2377	59	3	its	its	PRON
cana-2377	59	4	robustness	robustness	NOUN
cana-2377	59	5	against	against	ADP
cana-2377	59	6	measurement	measurement	NOUN
cana-2377	59	7	and	and	CCONJ
cana-2377	59	8	process	process	NOUN
cana-2377	59	9	noise	noise	NOUN
cana-2377	59	10	,	,	PUNCT
cana-2377	59	11	the	the	DET
cana-2377	59	12	kf	kf	PROPN
cana-2377	59	13	is	be	AUX
cana-2377	59	14	easy	easy	ADJ
cana-2377	59	15	to	to	PART
cana-2377	59	16	use	use	VERB
cana-2377	59	17	.	.	PUNCT
cana-2377	60	1	kfs	kfs	PROPN
cana-2377	60	2	are	be	AUX
cana-2377	60	3	most	most	ADV
cana-2377	60	4	frequently	frequently	ADV
cana-2377	60	5	used	use	VERB
cana-2377	60	6	in	in	ADP
cana-2377	60	7	fault	fault	NOUN
cana-2377	60	8	diagnosis	diagnosis	NOUN
cana-2377	60	9	and	and	CCONJ
cana-2377	60	10	identification	identification	NOUN
cana-2377	60	11	(	(	PUNCT
cana-2377	60	12	fdi	fdi	NOUN
cana-2377	60	13	)	)	PUNCT
cana-2377	60	14	,	,	PUNCT
cana-2377	60	15	which	which	PRON
cana-2377	60	16	was	be	AUX
cana-2377	60	17	thoroughly	thoroughly	ADV
cana-2377	60	18	researched	research	VERB
cana-2377	60	19	in	in	ADP
cana-2377	60	20	the	the	DET
cana-2377	60	21	literature	literature	NOUN
cana-2377	60	22	.	.	PUNCT
cana-2377	61	1	wu	wu	PROPN
cana-2377	61	2	,	,	PUNCT
cana-2377	61	3	x.	x.	PROPN
cana-2377	61	4	,	,	PUNCT
cana-2377	61	5	&	&	CCONJ
cana-2377	61	6	wang	wang	PROPN
cana-2377	61	7	el.al	el.al	PROPN
cana-2377	62	1	[	[	X
cana-2377	62	2	7	7	X
cana-2377	62	3	]	]	PUNCT
cana-2377	62	4	although	although	SCONJ
cana-2377	62	5	vibration	vibration	NOUN
cana-2377	62	6	limits	limit	VERB
cana-2377	62	7	the	the	DET
cana-2377	62	8	effectiveness	effectiveness	NOUN
cana-2377	62	9	of	of	ADP
cana-2377	62	10	several	several	ADJ
cana-2377	62	11	methods	method	NOUN
cana-2377	62	12	for	for	ADP
cana-2377	62	13	identification	identification	NOUN
cana-2377	62	14	,	,	PUNCT
cana-2377	62	15	modelling	modelling	NOUN
cana-2377	62	16	,	,	PUNCT
cana-2377	62	17	prediction	prediction	NOUN
cana-2377	62	18	,	,	PUNCT
cana-2377	62	19	and	and	CCONJ
cana-2377	62	20	regulation	regulation	NOUN
cana-2377	62	21	of	of	ADP
cana-2377	62	22	deterministic	deterministic	ADJ
cana-2377	62	23	systems	system	NOUN
cana-2377	62	24	,	,	PUNCT
cana-2377	62	25	it	it	PRON
cana-2377	62	26	is	be	AUX
cana-2377	62	27	present	present	ADJ
cana-2377	62	28	in	in	ADP
cana-2377	62	29	the	the	DET
cana-2377	62	30	majority	majority	NOUN
cana-2377	62	31	of	of	ADP
cana-2377	62	32	real	real	ADJ
cana-2377	62	33	time	time	NOUN
cana-2377	62	34	series	series	PROPN
cana-2377	62	35	observations	observation	NOUN
cana-2377	62	36	.	.	PUNCT
cana-2377	63	1	preservative	preservative	ADJ
cana-2377	63	2	tones	tone	NOUN
cana-2377	63	3	can	can	AUX
cana-2377	63	4	be	be	AUX
cana-2377	63	5	handled	handle	VERB
cana-2377	63	6	by	by	ADP
cana-2377	63	7	linear	linear	PROPN
cana-2377	63	8	systems	system	NOUN
cana-2377	63	9	using	use	VERB
cana-2377	63	10	kalman	kalman	PROPN
cana-2377	63	11	filtering	filtering	NOUN
cana-2377	63	12	and	and	CCONJ
cana-2377	63	13	its	its	PRON
cana-2377	63	14	extensions	extension	NOUN
cana-2377	63	15	,	,	PUNCT
cana-2377	63	16	such	such	ADJ
cana-2377	63	17	as	as	ADP
cana-2377	63	18	the	the	DET
cana-2377	63	19	extended	extended	ADJ
cana-2377	63	20	kalman	kalman	NOUN
cana-2377	63	21	filter	filter	PROPN
cana-2377	63	22	(	(	PUNCT
cana-2377	63	23	ekf	ekf	PROPN
cana-2377	63	24	)	)	PUNCT
cana-2377	63	25	.	.	PUNCT
cana-2377	64	1	pebrianti	pebrianti	PROPN
cana-2377	64	2	,	,	PUNCT
cana-2377	64	3	d.	d.	PROPN
cana-2377	64	4	,	,	PUNCT
cana-2377	64	5	samad	samad	PROPN
cana-2377	64	6	el.al	el.al	PROPN
cana-2377	65	1	[	[	X
cana-2377	65	2	8	8	NUM
cana-2377	65	3	]	]	X
cana-2377	65	4	the	the	DET
cana-2377	65	5	method	method	NOUN
cana-2377	65	6	of	of	ADP
cana-2377	65	7	creating	create	VERB
cana-2377	65	8	the	the	DET
cana-2377	65	9	variations	variation	NOUN
cana-2377	65	10	between	between	ADP
cana-2377	65	11	the	the	DET
cana-2377	65	12	ideal	ideal	ADJ
cana-2377	65	13	model	model	NOUN
cana-2377	65	14	and	and	CCONJ
cana-2377	65	15	the	the	DET
cana-2377	65	16	actual	actual	ADJ
cana-2377	65	17	system	system	NOUN
cana-2377	65	18	effectiveness	effectiveness	NOUN
cana-2377	65	19	is	be	AUX
cana-2377	65	20	known	know	VERB
cana-2377	65	21	as	as	ADP
cana-2377	65	22	a	a	DET
cana-2377	65	23	residual	residual	ADJ
cana-2377	65	24	generation	generation	NOUN
cana-2377	65	25	.	.	PUNCT
cana-2377	66	1	and	and	CCONJ
cana-2377	66	2	once	once	ADV
cana-2377	66	3	the	the	DET
cana-2377	66	4	residual	residual	ADJ
cana-2377	66	5	is	be	AUX
cana-2377	66	6	known	know	VERB
cana-2377	66	7	,	,	PUNCT
cana-2377	66	8	a	a	DET
cana-2377	66	9	different	different	ADJ
cana-2377	66	10	sub	sub	NOUN
cana-2377	66	11	-	-	NOUN
cana-2377	66	12	system	system	NOUN
cana-2377	66	13	will	will	AUX
cana-2377	66	14	determine	determine	VERB
cana-2377	66	15	how	how	SCONJ
cana-2377	66	16	often	often	ADV
cana-2377	66	17	the	the	DET
cana-2377	66	18	system	system	NOUN
cana-2377	66	19	experiences	experience	VERB
cana-2377	66	20	failures	failure	NOUN
cana-2377	66	21	.	.	PUNCT
cana-2377	67	1	the	the	DET
cana-2377	67	2	more	more	ADV
cana-2377	67	3	advanced	advanced	ADJ
cana-2377	67	4	fdi	fdi	NOUN
cana-2377	67	5	method	method	NOUN
cana-2377	67	6	also	also	ADV
cana-2377	67	7	will	will	AUX
cana-2377	67	8	create	create	VERB
cana-2377	67	9	the	the	DET
cana-2377	67	10	location	location	NOUN
cana-2377	67	11	of	of	ADP
cana-2377	67	12	the	the	DET
cana-2377	67	13	failures	failure	NOUN
cana-2377	67	14	.	.	PUNCT
cana-2377	68	1	simani	simani	PROPN
cana-2377	68	2	,	,	PUNCT
cana-2377	68	3	s.	s.	PROPN
cana-2377	68	4	,	,	PUNCT
cana-2377	68	5	&	&	CCONJ
cana-2377	68	6	turhan	turhan	PROPN
cana-2377	68	7	el.al	el.al	PROPN
cana-2377	69	1	[	[	X
cana-2377	69	2	9	9	NUM
cana-2377	69	3	]	]	PUNCT
cana-2377	69	4	to	to	PART
cana-2377	69	5	complete	complete	VERB
cana-2377	69	6	the	the	DET
cana-2377	69	7	modelling	modelling	NOUN
cana-2377	69	8	and	and	CCONJ
cana-2377	69	9	identity	identity	NOUN
cana-2377	69	10	task	task	NOUN
cana-2377	69	11	,	,	PUNCT
cana-2377	69	12	a	a	DET
cana-2377	69	13	collection	collection	NOUN
cana-2377	69	14	of	of	ADP
cana-2377	69	15	neural	neural	ADJ
cana-2377	69	16	network	network	NOUN
cana-2377	69	17	prediction	prediction	NOUN
cana-2377	69	18	models	model	NOUN
cana-2377	69	19	is	be	AUX
cana-2377	69	20	developed	develop	VERB
cana-2377	69	21	and	and	CCONJ
cana-2377	69	22	given	give	VERB
cana-2377	69	23	instructions	instruction	NOUN
cana-2377	69	24	to	to	PART
cana-2377	69	25	mimic	mimic	VERB
cana-2377	69	26	the	the	DET
cana-2377	69	27	actions	action	NOUN
cana-2377	69	28	of	of	ADP
cana-2377	69	29	the	the	DET
cana-2377	69	30	systems	system	NOUN
cana-2377	69	31	being	be	AUX
cana-2377	69	32	studied	study	VERB
cana-2377	69	33	..	..	PUNCT
cana-2377	70	1	the	the	DET
cana-2377	70	2	results	result	NOUN
cana-2377	70	3	are	be	AUX
cana-2377	70	4	contrasted	contrast	VERB
cana-2377	70	5	with	with	ADP
cana-2377	70	6	other	other	ADJ
cana-2377	70	7	control	control	NOUN
cana-2377	70	8	strategies	strategy	NOUN
cana-2377	70	9	taken	take	VERB
cana-2377	70	10	from	from	ADP
cana-2377	70	11	the	the	DET
cana-2377	70	12	relevant	relevant	ADJ
cana-2377	70	13	literature	literature	NOUN
cana-2377	70	14	.	.	PUNCT
cana-2377	71	1	additionally	additionally	ADV
cana-2377	71	2	,	,	PUNCT
cana-2377	71	3	a	a	DET
cana-2377	71	4	monte	monte	PROPN
cana-2377	71	5	carlo	carlo	PROPN
cana-2377	71	6	analysis	analysis	NOUN
cana-2377	71	7	confirms	confirm	VERB
cana-2377	71	8	the	the	DET
cana-2377	71	9	proposed	propose	VERB
cana-2377	71	10	solutions	solution	NOUN
cana-2377	71	11	'	'	PART
cana-2377	71	12	resilience	resilience	NOUN
cana-2377	71	13	to	to	ADP
cana-2377	71	14	common	common	ADJ
cana-2377	71	15	parameter	parameter	NOUN
cana-2377	71	16	disturbances	disturbance	NOUN
cana-2377	71	17	and	and	CCONJ
cana-2377	71	18	uncertainty	uncertainty	NOUN
cana-2377	71	19	.	.	PUNCT
cana-2377	72	1	härter	härter	PROPN
cana-2377	72	2	,	,	PUNCT
cana-2377	72	3	f.	f.	PROPN
cana-2377	72	4	p.	p.	PROPN
cana-2377	72	5	,	,	PUNCT
cana-2377	72	6	&	&	CCONJ
cana-2377	72	7	de	de	PROPN
cana-2377	72	8	campos	campos	PROPN
cana-2377	72	9	velho	velho	PROPN
cana-2377	72	10	el.al	el.al	PROPN
cana-2377	73	1	[	[	X
cana-2377	73	2	10	10	NUM
cana-2377	73	3	]	]	X
cana-2377	73	4	the	the	DET
cana-2377	73	5	weights	weight	NOUN
cana-2377	73	6	are	be	AUX
cana-2377	73	7	adjusted	adjust	VERB
cana-2377	73	8	during	during	ADP
cana-2377	73	9	the	the	DET
cana-2377	73	10	training	training	NOUN
cana-2377	73	11	process	process	NOUN
cana-2377	73	12	so	so	SCONJ
cana-2377	73	13	that	that	SCONJ
cana-2377	73	14	the	the	DET
cana-2377	73	15	network	network	NOUN
cana-2377	73	16	performs	perform	VERB
cana-2377	73	17	optimally	optimally	ADV
cana-2377	73	18	when	when	SCONJ
cana-2377	73	19	establishing	establish	VERB
cana-2377	73	20	the	the	DET
cana-2377	73	21	mapping	mapping	NOUN
cana-2377	73	22	of	of	ADP
cana-2377	73	23	numerous	numerous	ADJ
cana-2377	73	24	input	input	NOUN
cana-2377	73	25	/	/	SYM
cana-2377	73	26	output	output	NOUN
cana-2377	73	27	vector	vector	NOUN
cana-2377	73	28	pairs	pair	NOUN
cana-2377	73	29	.	.	PUNCT
cana-2377	74	1	the	the	DET
cana-2377	74	2	weights	weight	NOUN
cana-2377	74	3	are	be	AUX
cana-2377	74	4	fixed	fix	VERB
cana-2377	74	5	after	after	ADP
cana-2377	74	6	training	training	NOUN
cana-2377	74	7	,	,	PUNCT
cana-2377	74	8	and	and	CCONJ
cana-2377	74	9	the	the	DET
cana-2377	74	10	network	network	NOUN
cana-2377	74	11	can	can	AUX
cana-2377	74	12	then	then	ADV
cana-2377	74	13	be	be	AUX
cana-2377	74	14	presented	present	VERB
cana-2377	74	15	with	with	ADP
cana-2377	74	16	new	new	ADJ
cana-2377	74	17	inputs	input	NOUN
cana-2377	74	18	to	to	PART
cana-2377	74	19	determine	determine	VERB
cana-2377	74	20	the	the	DET
cana-2377	74	21	corresponding	correspond	VERB
cana-2377	74	22	outputs	output	NOUN
cana-2377	74	23	predicated	predicate	VERB
cana-2377	74	24	on	on	ADP
cana-2377	74	25	the	the	DET
cana-2377	74	26	information	information	NOUN
cana-2377	74	27	it	it	PRON
cana-2377	74	28	has	have	AUX
cana-2377	74	29	learned	learn	VERB
cana-2377	74	30	.	.	PUNCT
cana-2377	75	1	calderon	calderon	PROPN
cana-2377	75	2	-	-	PUNCT
cana-2377	75	3	mendoza	mendoza	PROPN
cana-2377	75	4	el.al	el.al	PROPN
cana-2377	76	1	[	[	X
cana-2377	76	2	11	11	NUM
cana-2377	76	3	]	]	PUNCT
cana-2377	76	4	in	in	ADP
cana-2377	76	5	contrast	contrast	NOUN
cana-2377	76	6	to	to	ADP
cana-2377	76	7	additional	additional	ADJ
cana-2377	76	8	devices	device	NOUN
cana-2377	76	9	suggested	suggest	VERB
cana-2377	76	10	in	in	ADP
cana-2377	76	11	the	the	DET
cana-2377	76	12	works	work	NOUN
cana-2377	76	13	that	that	PRON
cana-2377	76	14	perform	perform	VERB
cana-2377	76	15	detection	detection	NOUN
cana-2377	76	16	over	over	ADP
cana-2377	76	17	a	a	DET
cana-2377	76	18	predetermined	predetermine	VERB
cana-2377	76	19	amount	amount	NOUN
cana-2377	76	20	of	of	ADP
cana-2377	76	21	period	period	NOUN
cana-2377	76	22	falling	fall	VERB
cana-2377	76	23	space	space	NOUN
cana-2377	76	24	,	,	PUNCT
cana-2377	76	25	the	the	DET
cana-2377	76	26	identification	identification	NOUN
cana-2377	76	27	technique	technique	NOUN
cana-2377	76	28	based	base	VERB
cana-2377	76	29	on	on	ADP
cana-2377	76	30	the	the	DET
cana-2377	76	31	kalman	kalman	NOUN
cana-2377	76	32	filter	filter	NOUN
cana-2377	76	33	used	use	VERB
cana-2377	76	34	in	in	ADP
cana-2377	76	35	this	this	DET
cana-2377	76	36	experiment	experiment	NOUN
cana-2377	76	37	has	have	VERB
cana-2377	76	38	the	the	DET
cana-2377	76	39	main	main	ADJ
cana-2377	76	40	benefit	benefit	NOUN
cana-2377	76	41	of	of	ADP
cana-2377	76	42	enabling	enable	VERB
cana-2377	76	43	frequent	frequent	ADJ
cana-2377	76	44	sequential	sequential	ADJ
cana-2377	76	45	prediction	prediction	NOUN
cana-2377	76	46	through	through	ADP
cana-2377	76	47	such	such	DET
cana-2377	76	48	an	an	DET
cana-2377	76	49	integrated	integrated	ADJ
cana-2377	76	50	platform	platform	NOUN
cana-2377	76	51	processing	processing	NOUN
cana-2377	76	52	structure	structure	NOUN
cana-2377	76	53	.	.	PUNCT
cana-2377	77	1	in	in	ADP
cana-2377	77	2	fault	fault	NOUN
cana-2377	77	3	diagnosis	diagnosis	NOUN
cana-2377	77	4	and	and	CCONJ
cana-2377	77	5	navigation	navigation	NOUN
cana-2377	77	6	communications	communication	NOUN
cana-2377	77	7	on	on	ADP
cana-2377	77	8	applied	apply	VERB
cana-2377	77	9	nonlinear	nonlinear	ADJ
cana-2377	77	10	analysis	analysis	NOUN
cana-2377	77	11	issn	issn	NOUN
cana-2377	77	12	:	:	PUNCT
cana-2377	77	13	1074	1074	NUM
cana-2377	77	14	-	-	PUNCT
cana-2377	77	15	133x	133x	NUM
cana-2377	77	16	vol	vol	NOUN
cana-2377	77	17	32	32	NUM
cana-2377	77	18	no	no	NOUN
cana-2377	77	19	.	.	NOUN
cana-2377	77	20	3	3	NUM
cana-2377	77	21	(	(	PUNCT
cana-2377	77	22	2025	2025	NUM
cana-2377	77	23	)	)	PUNCT
cana-2377	77	24	629	629	NUM
cana-2377	77	25	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	77	26	systems	system	NOUN
cana-2377	77	27	,	,	PUNCT
cana-2377	77	28	it	it	PRON
cana-2377	77	29	is	be	AUX
cana-2377	77	30	common	common	ADJ
cana-2377	77	31	practice	practice	NOUN
cana-2377	77	32	to	to	PART
cana-2377	77	33	employ	employ	VERB
cana-2377	77	34	the	the	DET
cana-2377	77	35	kalman	kalman	NOUN
cana-2377	77	36	filter	filter	NOUN
cana-2377	77	37	and	and	CCONJ
cana-2377	77	38	the	the	DET
cana-2377	77	39	extended	extended	ADJ
cana-2377	77	40	kalman	kalman	NOUN
cana-2377	77	41	filter	filter	PROPN
cana-2377	77	42	(	(	PUNCT
cana-2377	77	43	ekf	ekf	PROPN
cana-2377	77	44	)	)	PUNCT
cana-2377	77	45	.	.	PUNCT
cana-2377	78	1	the	the	DET
cana-2377	78	2	kalman	kalman	PROPN
cana-2377	78	3	filter	filter	PROPN
cana-2377	78	4	calculates	calculate	VERB
cana-2377	78	5	instant	instant	ADJ
cana-2377	78	6	provinces	province	NOUN
cana-2377	78	7	from	from	ADP
cana-2377	78	8	loud	loud	ADJ
cana-2377	78	9	information	information	NOUN
cana-2377	78	10	recorded	record	VERB
cana-2377	78	11	in	in	ADP
cana-2377	78	12	a	a	DET
cana-2377	78	13	recursive	recursive	ADJ
cana-2377	78	14	manner	manner	NOUN
cana-2377	78	15	.	.	PUNCT
cana-2377	79	1	3	3	X
cana-2377	79	2	.	.	X
cana-2377	79	3	methods	method	NOUN
cana-2377	79	4	and	and	CCONJ
cana-2377	79	5	materials	material	NOUN
cana-2377	79	6	this	this	DET
cana-2377	79	7	section	section	NOUN
cana-2377	79	8	is	be	AUX
cana-2377	79	9	organised	organise	VERB
cana-2377	79	10	as	as	SCONJ
cana-2377	79	11	follows	follow	VERB
cana-2377	79	12	.	.	PUNCT
cana-2377	80	1	first	first	ADV
cana-2377	80	2	,	,	PUNCT
cana-2377	80	3	define	define	VERB
cana-2377	80	4	the	the	DET
cana-2377	80	5	notation	notation	NOUN
cana-2377	80	6	and	and	CCONJ
cana-2377	80	7	provide	provide	VERB
cana-2377	80	8	a	a	DET
cana-2377	80	9	brief	brief	ADJ
cana-2377	80	10	overview	overview	NOUN
cana-2377	80	11	of	of	ADP
cana-2377	80	12	the	the	DET
cana-2377	80	13	identification	identification	NOUN
cana-2377	80	14	and	and	CCONJ
cana-2377	80	15	fault	fault	VERB
cana-2377	80	16	diagnosis	diagnosis	NOUN
cana-2377	80	17	,	,	PUNCT
cana-2377	80	18	while	while	SCONJ
cana-2377	80	19	asserting	assert	VERB
cana-2377	80	20	the	the	DET
cana-2377	80	21	links	link	NOUN
cana-2377	80	22	between	between	ADP
cana-2377	80	23	our	our	PRON
cana-2377	80	24	recently	recently	ADV
cana-2377	80	25	proposed	propose	VERB
cana-2377	80	26	model	model	NOUN
cana-2377	80	27	and	and	CCONJ
cana-2377	80	28	the	the	DET
cana-2377	80	29	neural	neural	ADJ
cana-2377	80	30	networks	network	NOUN
cana-2377	80	31	.	.	PUNCT
cana-2377	81	1	the	the	DET
cana-2377	81	2	ideal	ideal	ADJ
cana-2377	81	3	architecture	architecture	NOUN
cana-2377	81	4	and	and	CCONJ
cana-2377	81	5	approach	approach	NOUN
cana-2377	81	6	for	for	ADP
cana-2377	81	7	neural	neural	ADJ
cana-2377	81	8	networks	network	NOUN
cana-2377	81	9	based	base	VERB
cana-2377	81	10	on	on	ADP
cana-2377	81	11	kalman	kalman	PROPN
cana-2377	81	12	filter	filter	NOUN
cana-2377	81	13	arrangement	arrangement	NOUN
cana-2377	81	14	will	will	AUX
cana-2377	81	15	be	be	AUX
cana-2377	81	16	looked	look	VERB
cana-2377	81	17	into	into	ADP
cana-2377	81	18	in	in	ADP
cana-2377	81	19	this	this	DET
cana-2377	81	20	paper	paper	NOUN
cana-2377	81	21	.	.	PUNCT
cana-2377	82	1	identification	identification	NOUN
cana-2377	82	2	and	and	CCONJ
cana-2377	82	3	fault	fault	VERB
cana-2377	82	4	diagnosis	diagnosis	NOUN
cana-2377	82	5	:	:	PUNCT
cana-2377	82	6	charges	charge	NOUN
cana-2377	82	7	accumulate	accumulate	VERB
cana-2377	82	8	for	for	ADP
cana-2377	82	9	a	a	DET
cana-2377	82	10	probe	probe	NOUN
cana-2377	82	11	's	's	PART
cana-2377	82	12	mission	mission	NOUN
cana-2377	82	13	life	life	NOUN
cana-2377	82	14	,	,	PUNCT
cana-2377	82	15	and	and	CCONJ
cana-2377	82	16	faults	fault	NOUN
cana-2377	82	17	/	/	SYM
cana-2377	82	18	failures	failure	NOUN
cana-2377	82	19	,	,	PUNCT
cana-2377	82	20	if	if	SCONJ
cana-2377	82	21	they	they	PRON
cana-2377	82	22	occur	occur	VERB
cana-2377	82	23	,	,	PUNCT
cana-2377	82	24	add	add	VERB
cana-2377	82	25	to	to	ADP
cana-2377	82	26	it	it	PRON
cana-2377	82	27	.	.	PUNCT
cana-2377	83	1	the	the	DET
cana-2377	83	2	spacebased	spacebased	ADJ
cana-2377	83	3	attitude	attitude	NOUN
cana-2377	83	4	control	control	NOUN
cana-2377	83	5	method	method	NOUN
cana-2377	83	6	is	be	AUX
cana-2377	83	7	the	the	DET
cana-2377	83	8	most	most	ADV
cana-2377	83	9	likely	likely	ADJ
cana-2377	83	10	position	position	NOUN
cana-2377	83	11	for	for	ADP
cana-2377	83	12	a	a	DET
cana-2377	83	13	problem	problem	NOUN
cana-2377	83	14	to	to	PART
cana-2377	83	15	develop	develop	VERB
cana-2377	83	16	.	.	PUNCT
cana-2377	84	1	the	the	DET
cana-2377	84	2	majority	majority	NOUN
cana-2377	84	3	of	of	ADP
cana-2377	84	4	actuators	actuator	NOUN
cana-2377	84	5	are	be	AUX
cana-2377	84	6	made	make	VERB
cana-2377	84	7	up	up	ADP
cana-2377	84	8	of	of	ADP
cana-2377	84	9	moving	move	VERB
cana-2377	84	10	metal	metal	NOUN
cana-2377	84	11	devices	device	NOUN
cana-2377	84	12	that	that	PRON
cana-2377	84	13	are	be	AUX
cana-2377	84	14	susceptible	susceptible	ADJ
cana-2377	84	15	to	to	ADP
cana-2377	84	16	unanticipated	unanticipated	ADJ
cana-2377	84	17	responsibilities	responsibility	NOUN
cana-2377	84	18	or	or	CCONJ
cana-2377	84	19	failings	failing	NOUN
cana-2377	84	20	,	,	PUNCT
cana-2377	84	21	as	as	ADP
cana-2377	84	22	when	when	SCONJ
cana-2377	84	23	a	a	DET
cana-2377	84	24	frozen	frozen	ADJ
cana-2377	84	25	weld	weld	NOUN
cana-2377	84	26	joint	joint	NOUN
cana-2377	84	27	degrades	degrade	VERB
cana-2377	84	28	device	device	NOUN
cana-2377	84	29	conductivity	conductivity	NOUN
cana-2377	84	30	,	,	PUNCT
cana-2377	84	31	when	when	SCONJ
cana-2377	84	32	microscopic	microscopic	ADJ
cana-2377	84	33	particle	particle	NOUN
cana-2377	84	34	contaminate	contaminate	VERB
cana-2377	84	35	metal	metal	NOUN
cana-2377	84	36	devices	device	NOUN
cana-2377	84	37	,	,	PUNCT
cana-2377	84	38	or	or	CCONJ
cana-2377	84	39	when	when	SCONJ
cana-2377	84	40	there	there	PRON
cana-2377	84	41	are	be	VERB
cana-2377	84	42	rapid	rapid	ADJ
cana-2377	84	43	temperature	temperature	NOUN
cana-2377	84	44	fluctuations	fluctuation	NOUN
cana-2377	84	45	.	.	PUNCT
cana-2377	85	1	to	to	PART
cana-2377	85	2	monitor	monitor	VERB
cana-2377	85	3	and/or	and/or	CCONJ
cana-2377	85	4	predict	predict	VERB
cana-2377	85	5	a	a	DET
cana-2377	85	6	few	few	ADJ
cana-2377	85	7	of	of	ADP
cana-2377	85	8	these	these	DET
cana-2377	85	9	factors	factor	NOUN
cana-2377	85	10	,	,	PUNCT
cana-2377	85	11	fdi	fdi	NOUN
cana-2377	85	12	methods	method	NOUN
cana-2377	85	13	have	have	AUX
cana-2377	85	14	been	be	AUX
cana-2377	85	15	created	create	VERB
cana-2377	85	16	.	.	PUNCT
cana-2377	86	1	fault	fault	NOUN
cana-2377	86	2	diagnosis	diagnosis	NOUN
cana-2377	86	3	is	be	AUX
cana-2377	86	4	the	the	DET
cana-2377	86	5	identification	identification	NOUN
cana-2377	86	6	and	and	CCONJ
cana-2377	86	7	isolation	isolation	NOUN
cana-2377	86	8	of	of	ADP
cana-2377	86	9	faults	fault	NOUN
cana-2377	86	10	,	,	PUNCT
cana-2377	86	11	while	while	SCONJ
cana-2377	86	12	identification	identification	NOUN
cana-2377	86	13	is	be	AUX
cana-2377	86	14	concerned	concern	VERB
cana-2377	86	15	with	with	ADP
cana-2377	86	16	the	the	DET
cana-2377	86	17	nature	nature	NOUN
cana-2377	86	18	of	of	ADP
cana-2377	86	19	the	the	DET
cana-2377	86	20	fault	fault	NOUN
cana-2377	86	21	and	and	CCONJ
cana-2377	86	22	its	its	PRON
cana-2377	86	23	intensity	intensity	NOUN
cana-2377	86	24	.	.	PUNCT
cana-2377	87	1	greater	great	ADJ
cana-2377	87	2	space	space	NOUN
cana-2377	87	3	probes	probe	NOUN
cana-2377	87	4	used	use	VERB
cana-2377	87	5	to	to	PART
cana-2377	87	6	have	have	VERB
cana-2377	87	7	device	device	NOUN
cana-2377	87	8	redundant	redundant	ADJ
cana-2377	87	9	information	information	NOUN
cana-2377	87	10	to	to	PART
cana-2377	87	11	handle	handle	VERB
cana-2377	87	12	faults	fault	NOUN
cana-2377	87	13	and/or	and/or	CCONJ
cana-2377	87	14	failures	failure	NOUN
cana-2377	87	15	because	because	SCONJ
cana-2377	87	16	they	they	PRON
cana-2377	87	17	had	have	VERB
cana-2377	87	18	more	more	ADV
cana-2377	87	19	inbuilt	inbuilt	ADJ
cana-2377	87	20	space	space	NOUN
cana-2377	87	21	and	and	CCONJ
cana-2377	87	22	needed	need	VERB
cana-2377	87	23	more	more	ADV
cana-2377	87	24	computational	computational	ADJ
cana-2377	87	25	power	power	NOUN
cana-2377	87	26	online	online	NOUN
cana-2377	88	1	[	[	X
cana-2377	88	2	6	6	NUM
cana-2377	88	3	]	]	PUNCT
cana-2377	88	4	.	.	PUNCT
cana-2377	89	1	numerical	numerical	ADJ
cana-2377	89	2	techniques	technique	NOUN
cana-2377	89	3	can	can	AUX
cana-2377	89	4	be	be	AUX
cana-2377	89	5	used	use	VERB
cana-2377	89	6	to	to	PART
cana-2377	89	7	identify	identify	VERB
cana-2377	89	8	and	and	CCONJ
cana-2377	89	9	fix	fix	VERB
cana-2377	89	10	faults	fault	NOUN
cana-2377	89	11	when	when	SCONJ
cana-2377	89	12	they	they	PRON
cana-2377	89	13	occur	occur	VERB
cana-2377	89	14	(	(	PUNCT
cana-2377	89	15	s	s	NOUN
cana-2377	89	16	)	)	PUNCT
cana-2377	89	17	.	.	PUNCT
cana-2377	90	1	whenever	whenever	SCONJ
cana-2377	90	2	a	a	DET
cana-2377	90	3	system	system	NOUN
cana-2377	90	4	's	's	PART
cana-2377	90	5	behaviour	behaviour	NOUN
cana-2377	90	6	unexpectedly	unexpectedly	ADV
cana-2377	90	7	changes	change	VERB
cana-2377	90	8	and	and	CCONJ
cana-2377	90	9	degrades	degrade	VERB
cana-2377	90	10	effectiveness	effectiveness	NOUN
cana-2377	90	11	or	or	CCONJ
cana-2377	90	12	restricts	restrict	VERB
cana-2377	90	13	even	even	ADV
cana-2377	90	14	the	the	DET
cana-2377	90	15	appearance	appearance	NOUN
cana-2377	90	16	of	of	ADP
cana-2377	90	17	normal	normal	ADJ
cana-2377	90	18	operating	operating	NOUN
cana-2377	90	19	conditions	condition	NOUN
cana-2377	90	20	,	,	PUNCT
cana-2377	90	21	the	the	DET
cana-2377	90	22	term	term	NOUN
cana-2377	90	23	"	"	PUNCT
cana-2377	90	24	fault	fault	NOUN
cana-2377	90	25	"	"	PUNCT
cana-2377	90	26	is	be	AUX
cana-2377	90	27	used	use	VERB
cana-2377	90	28	to	to	PART
cana-2377	90	29	describe	describe	VERB
cana-2377	90	30	it	it	PRON
cana-2377	90	31	.	.	PUNCT
cana-2377	91	1	figure	figure	VERB
cana-2377	91	2	3.1	3.1	NUM
cana-2377	91	3	.	.	PUNCT
cana-2377	92	1	fault	fault	VERB
cana-2377	92	2	diagnosis	diagnosis	NOUN
cana-2377	92	3	steps	step	NOUN
cana-2377	92	4	as	as	SCONJ
cana-2377	92	5	shown	show	VERB
cana-2377	92	6	in	in	ADP
cana-2377	92	7	figure	figure	NOUN
cana-2377	92	8	3.1	3.1	NUM
cana-2377	92	9	,	,	PUNCT
cana-2377	92	10	the	the	DET
cana-2377	92	11	system	system	NOUN
cana-2377	92	12	must	must	AUX
cana-2377	92	13	be	be	AUX
cana-2377	92	14	able	able	ADJ
cana-2377	92	15	to	to	PART
cana-2377	92	16	detect	detect	VERB
cana-2377	92	17	the	the	DET
cana-2377	92	18	appearance	appearance	NOUN
cana-2377	92	19	of	of	ADP
cana-2377	92	20	a	a	DET
cana-2377	92	21	mistake	mistake	NOUN
cana-2377	92	22	,	,	PUNCT
cana-2377	92	23	pinpoint	pinpoint	VERB
cana-2377	92	24	the	the	DET
cana-2377	92	25	location	location	NOUN
cana-2377	92	26	of	of	ADP
cana-2377	92	27	the	the	DET
cana-2377	92	28	mistake	mistake	NOUN
cana-2377	92	29	and	and	CCONJ
cana-2377	92	30	,	,	PUNCT
cana-2377	92	31	for	for	ADP
cana-2377	92	32	correctness	correctness	NOUN
cana-2377	92	33	,	,	PUNCT
cana-2377	92	34	determine	determine	NOUN
cana-2377	92	35	and	and	CCONJ
cana-2377	92	36	which	which	DET
cana-2377	92	37	type	type	NOUN
cana-2377	92	38	of	of	ADP
cana-2377	92	39	fault	fault	NOUN
cana-2377	92	40	has	have	AUX
cana-2377	92	41	occurred	occur	VERB
cana-2377	92	42	.	.	PUNCT
cana-2377	93	1	all	all	DET
cana-2377	93	2	applications	application	NOUN
cana-2377	93	3	wo	will	AUX
cana-2377	93	4	n't	not	PART
cana-2377	93	5	need	need	VERB
cana-2377	93	6	these	these	DET
cana-2377	93	7	tasks	task	NOUN
cana-2377	93	8	;	;	PUNCT
cana-2377	93	9	a	a	DET
cana-2377	93	10	few	few	ADJ
cana-2377	93	11	will	will	AUX
cana-2377	93	12	only	only	ADV
cana-2377	93	13	need	need	VERB
cana-2377	93	14	fault	fault	NOUN
cana-2377	93	15	detection	detection	NOUN
cana-2377	93	16	,	,	PUNCT
cana-2377	93	17	and	and	CCONJ
cana-2377	93	18	others	other	NOUN
cana-2377	93	19	will	will	AUX
cana-2377	93	20	also	also	ADV
cana-2377	93	21	need	need	VERB
cana-2377	93	22	isolation	isolation	NOUN
cana-2377	93	23	.	.	PUNCT
cana-2377	94	1	only	only	ADV
cana-2377	94	2	when	when	SCONJ
cana-2377	94	3	the	the	DET
cana-2377	94	4	corrective	corrective	ADJ
cana-2377	94	5	action	action	NOUN
cana-2377	94	6	is	be	AUX
cana-2377	94	7	the	the	DET
cana-2377	94	8	same	same	ADJ
cana-2377	94	9	regardless	regardless	ADV
cana-2377	94	10	of	of	ADP
cana-2377	94	11	the	the	DET
cana-2377	94	12	fault	fault	NOUN
cana-2377	94	13	's	's	PART
cana-2377	94	14	place	place	NOUN
cana-2377	94	15	or	or	CCONJ
cana-2377	94	16	type	type	NOUN
cana-2377	94	17	would	would	AUX
cana-2377	94	18	detection	detection	NOUN
cana-2377	94	19	be	be	AUX
cana-2377	94	20	necessary	necessary	ADJ
cana-2377	94	21	;	;	PUNCT
cana-2377	94	22	in	in	ADP
cana-2377	94	23	this	this	DET
cana-2377	94	24	case	case	NOUN
cana-2377	94	25	,	,	PUNCT
cana-2377	94	26	the	the	DET
cana-2377	94	27	method	method	NOUN
cana-2377	94	28	or	or	CCONJ
cana-2377	94	29	system	system	NOUN
cana-2377	94	30	would	would	AUX
cana-2377	94	31	merely	merely	ADV
cana-2377	94	32	notify	notify	VERB
cana-2377	94	33	the	the	DET
cana-2377	94	34	operator	operator	NOUN
cana-2377	94	35	that	that	PRON
cana-2377	94	36	a	a	DET
cana-2377	94	37	fault	fault	NOUN
cana-2377	94	38	has	have	AUX
cana-2377	94	39	happened	happen	VERB
cana-2377	94	40	.	.	PUNCT
cana-2377	95	1	input	input	NOUN
cana-2377	95	2	lingering	linger	VERB
cana-2377	95	3	generations	generation	NOUN
cana-2377	95	4	identifying	identify	VERB
cana-2377	95	5	faults	fault	NOUN
cana-2377	95	6	problem	problem	VERB
cana-2377	95	7	isolation	isolation	NOUN
cana-2377	95	8	fault	fault	NOUN
cana-2377	95	9	location	location	NOUN
cana-2377	95	10	residuals	residual	NOUN
cana-2377	95	11	symptoms	symptom	NOUN
cana-2377	95	12	output	output	VERB
cana-2377	95	13	output	output	NOUN
cana-2377	95	14	communications	communication	NOUN
cana-2377	95	15	on	on	ADP
cana-2377	95	16	applied	apply	VERB
cana-2377	95	17	nonlinear	nonlinear	ADJ
cana-2377	95	18	analysis	analysis	NOUN
cana-2377	95	19	issn	issn	NOUN
cana-2377	95	20	:	:	PUNCT
cana-2377	95	21	1074	1074	NUM
cana-2377	95	22	-	-	PUNCT
cana-2377	95	23	133x	133x	NUM
cana-2377	95	24	vol	vol	NOUN
cana-2377	95	25	32	32	NUM
cana-2377	95	26	no	no	NOUN
cana-2377	95	27	.	.	NOUN
cana-2377	95	28	3	3	NUM
cana-2377	95	29	(	(	PUNCT
cana-2377	95	30	2025	2025	NUM
cana-2377	95	31	)	)	PUNCT
cana-2377	95	32	630	630	NUM
cana-2377	95	33	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	95	34	figure	figure	NOUN
cana-2377	95	35	3.2	3.2	NUM
cana-2377	95	36	.	.	PUNCT
cana-2377	96	1	block	block	NOUN
cana-2377	96	2	diagram	diagram	NOUN
cana-2377	96	3	of	of	ADP
cana-2377	96	4	fault	fault	NOUN
cana-2377	96	5	isolation	isolation	NOUN
cana-2377	96	6	and	and	CCONJ
cana-2377	96	7	detection	detection	NOUN
cana-2377	96	8	methods	method	NOUN
cana-2377	96	9	to	to	PART
cana-2377	96	10	determine	determine	VERB
cana-2377	96	11	whether	whether	SCONJ
cana-2377	96	12	a	a	DET
cana-2377	96	13	fault	fault	NOUN
cana-2377	96	14	is	be	AUX
cana-2377	96	15	present	present	ADJ
cana-2377	97	1	,	,	PUNCT
cana-2377	97	2	the	the	DET
cana-2377	97	3	residual	residual	ADJ
cana-2377	97	4	evaluator	evaluator	NOUN
cana-2377	97	5	compares	compare	VERB
cana-2377	97	6	the	the	DET
cana-2377	97	7	residual	residual	NOUN
cana-2377	97	8	with	with	ADP
cana-2377	97	9	a	a	DET
cana-2377	97	10	criterion	criterion	NOUN
cana-2377	97	11	generated	generate	VERB
cana-2377	97	12	by	by	ADP
cana-2377	97	13	the	the	DET
cana-2377	97	14	residual	residual	ADJ
cana-2377	97	15	generator	generator	NOUN
cana-2377	97	16	.	.	PUNCT
cana-2377	98	1	fault	fault	VERB
cana-2377	98	2	detection	detection	NOUN
cana-2377	98	3	and	and	CCONJ
cana-2377	98	4	isolation	isolation	NOUN
cana-2377	98	5	's	's	PART
cana-2377	98	6	general	general	ADJ
cana-2377	98	7	block	block	NOUN
cana-2377	98	8	diagram	diagram	NOUN
cana-2377	98	9	is	be	AUX
cana-2377	98	10	displayed	display	VERB
cana-2377	98	11	in	in	ADP
cana-2377	98	12	figure	figure	NOUN
cana-2377	98	13	3	3	NUM
cana-2377	98	14	.	.	NOUN
cana-2377	98	15	2	2	NUM
cana-2377	98	16	.	.	PUNCT
cana-2377	98	17	kalman	kalman	NOUN
cana-2377	98	18	filter	filter	PROPN
cana-2377	98	19	:	:	PUNCT
cana-2377	98	20	the	the	DET
cana-2377	98	21	extended	extended	ADJ
cana-2377	98	22	kalman	kalman	NOUN
cana-2377	98	23	filter	filter	NOUN
cana-2377	98	24	is	be	AUX
cana-2377	98	25	the	the	DET
cana-2377	98	26	method	method	NOUN
cana-2377	98	27	for	for	ADP
cana-2377	98	28	applying	apply	VERB
cana-2377	98	29	the	the	DET
cana-2377	98	30	kalman	kalman	NOUN
cana-2377	98	31	filter	filter	NOUN
cana-2377	98	32	to	to	ADP
cana-2377	98	33	a	a	DET
cana-2377	98	34	nonlinear	nonlinear	ADJ
cana-2377	98	35	model	model	NOUN
cana-2377	98	36	[	[	X
cana-2377	98	37	10	10	NUM
cana-2377	98	38	]	]	PUNCT
cana-2377	98	39	.	.	PUNCT
cana-2377	99	1	the	the	DET
cana-2377	99	2	kalman	kalman	PROPN
cana-2377	99	3	filter	filter	NOUN
cana-2377	99	4	is	be	AUX
cana-2377	99	5	the	the	DET
cana-2377	99	6	finest	fine	ADJ
cana-2377	99	7	linear	linear	ADJ
cana-2377	99	8	unbiased	unbiased	ADJ
cana-2377	99	9	estimator	estimator	NOUN
cana-2377	99	10	.	.	PUNCT
cana-2377	100	1	a	a	DET
cana-2377	100	2	state	state	NOUN
cana-2377	100	3	-	-	PUNCT
cana-2377	100	4	space	space	NOUN
cana-2377	100	5	illustration	illustration	NOUN
cana-2377	100	6	with	with	ADP
cana-2377	100	7	the	the	DET
cana-2377	100	8	following	follow	VERB
cana-2377	100	9	structure	structure	NOUN
cana-2377	100	10	can	can	AUX
cana-2377	100	11	be	be	AUX
cana-2377	100	12	used	use	VERB
cana-2377	100	13	to	to	PART
cana-2377	100	14	define	define	VERB
cana-2377	100	15	a	a	DET
cana-2377	100	16	dynamic	dynamic	ADJ
cana-2377	100	17	system	system	NOUN
cana-2377	100	18	's	's	PART
cana-2377	100	19	statistical	statistical	ADJ
cana-2377	100	20	equation	equation	NOUN
cana-2377	100	21	:	:	PUNCT
cana-2377	100	22	𝑞(𝑚	𝑞(𝑚	NOUN
cana-2377	100	23	+	+	CCONJ
cana-2377	100	24	2	2	X
cana-2377	100	25	)	)	PUNCT
cana-2377	100	26	=	=	SYM
cana-2377	100	27	𝑏	𝑏	PROPN
cana-2377	100	28	∗	∗	NOUN
cana-2377	100	29	𝑝(𝑚	𝑝(𝑚	PROPN
cana-2377	100	30	)	)	PUNCT
cana-2377	100	31	+	+	CCONJ
cana-2377	100	32	𝑠(𝑚	𝑠(𝑚	X
cana-2377	100	33	)	)	PUNCT
cana-2377	100	34	(	(	PUNCT
cana-2377	100	35	1	1	X
cana-2377	100	36	)	)	PUNCT
cana-2377	100	37	𝑝(𝑚	𝑝(𝑚	NOUN
cana-2377	100	38	)	)	PUNCT
cana-2377	100	39	=	=	SYM
cana-2377	100	40	𝑑	𝑑	NOUN
cana-2377	100	41	∗	∗	NOUN
cana-2377	100	42	𝑞(𝑚	𝑞(𝑚	PROPN
cana-2377	100	43	)	)	PUNCT
cana-2377	101	1	+	+	CCONJ
cana-2377	101	2	𝑝(𝑚	𝑝(𝑚	NOUN
cana-2377	101	3	)	)	PUNCT
cana-2377	101	4	(	(	PUNCT
cana-2377	101	5	2	2	X
cana-2377	101	6	)	)	PUNCT
cana-2377	101	7	where	where	SCONJ
cana-2377	101	8	𝑝(𝑚	𝑝(𝑚	NOUN
cana-2377	101	9	)	)	PUNCT
cana-2377	101	10	is	be	AUX
cana-2377	101	11	the	the	DET
cana-2377	101	12	reasoned	reason	VERB
cana-2377	101	13	output	output	NOUN
cana-2377	101	14	,	,	PUNCT
cana-2377	101	15	𝑠(𝑚	𝑠(𝑚	PROPN
cana-2377	101	16	)	)	PUNCT
cana-2377	101	17	is	be	AUX
cana-2377	101	18	the	the	DET
cana-2377	101	19	progression	progression	NOUN
cana-2377	101	20	state	state	NOUN
cana-2377	101	21	vector	vector	NOUN
cana-2377	101	22	,	,	PUNCT
cana-2377	101	23	𝑎	𝑎	X
cana-2377	101	24	is	be	AUX
cana-2377	101	25	the	the	DET
cana-2377	101	26	transfer	transfer	NOUN
cana-2377	101	27	matrix	matrix	NOUN
cana-2377	101	28	,	,	PUNCT
cana-2377	101	29	𝑞(𝑚	𝑞(𝑚	PROPN
cana-2377	101	30	)	)	PUNCT
cana-2377	101	31	is	be	AUX
cana-2377	101	32	the	the	DET
cana-2377	101	33	procedure	procedure	NOUN
cana-2377	101	34	matrix	matrix	NOUN
cana-2377	101	35	,	,	PUNCT
cana-2377	101	36	𝑑	𝑑	PROPN
cana-2377	101	37	is	be	AUX
cana-2377	101	38	the	the	DET
cana-2377	101	39	production	production	NOUN
cana-2377	101	40	matrix	matrix	NOUN
cana-2377	101	41	,	,	PUNCT
cana-2377	101	42	and	and	CCONJ
cana-2377	101	43	𝑞(𝑚	𝑞(𝑚	NOUN
cana-2377	101	44	)	)	PUNCT
cana-2377	101	45	is	be	AUX
cana-2377	101	46	the	the	DET
cana-2377	101	47	parameters	parameter	NOUN
cana-2377	101	48	are	be	AUX
cana-2377	101	49	estimated	estimate	VERB
cana-2377	101	50	structure	structure	NOUN
cana-2377	101	51	.	.	PUNCT
cana-2377	102	1	a	a	DET
cana-2377	102	2	series	series	NOUN
cana-2377	102	3	of	of	ADP
cana-2377	102	4	curving	curve	VERB
cana-2377	102	5	faults	fault	NOUN
cana-2377	102	6	in	in	ADP
cana-2377	102	7	the	the	DET
cana-2377	102	8	energy	energy	NOUN
cana-2377	102	9	section	section	NOUN
cana-2377	102	10	with	with	ADP
cana-2377	102	11	an	an	DET
cana-2377	102	12	unidentified	unidentified	ADJ
cana-2377	102	13	energetic	energetic	ADJ
cana-2377	102	14	is	be	AUX
cana-2377	102	15	effectively	effectively	ADV
cana-2377	102	16	linked	link	VERB
cana-2377	102	17	to	to	ADP
cana-2377	102	18	the	the	DET
cana-2377	102	19	sound𝑠	sound𝑠	NOUN
cana-2377	102	20	(	(	PUNCT
cana-2377	102	21	𝑚	𝑚	NOUN
cana-2377	102	22	)	)	PUNCT
cana-2377	102	23	.	.	PUNCT
cana-2377	103	1	the	the	DET
cana-2377	103	2	sound	sound	NOUN
cana-2377	103	3	presented	present	VERB
cana-2377	103	4	by	by	ADP
cana-2377	103	5	the	the	DET
cana-2377	103	6	current	current	ADJ
cana-2377	103	7	source	source	NOUN
cana-2377	103	8	is	be	AUX
cana-2377	103	9	primarily	primarily	ADV
cana-2377	103	10	related	relate	VERB
cana-2377	103	11	to	to	ADP
cana-2377	103	12	the	the	DET
cana-2377	103	13	measurement	measurement	NOUN
cana-2377	103	14	noise	noise	NOUN
cana-2377	103	15	matrix	matrix	NOUN
cana-2377	103	16	𝑞(𝑚	𝑞(𝑚	PROPN
cana-2377	103	17	)	)	PUNCT
cana-2377	103	18	,	,	PUNCT
cana-2377	103	19	both	both	PRON
cana-2377	103	20	are	be	AUX
cana-2377	103	21	taken	take	VERB
cana-2377	103	22	to	to	PART
cana-2377	103	23	be	be	AUX
cana-2377	103	24	zero	zero	NUM
cana-2377	103	25	-	-	PUNCT
cana-2377	103	26	mean	mean	ADJ
cana-2377	103	27	,	,	PUNCT
cana-2377	103	28	non	non	ADJ
cana-2377	103	29	-	-	ADJ
cana-2377	103	30	correlated	correlate	VERB
cana-2377	103	31	white	white	ADJ
cana-2377	103	32	noise	noise	NOUN
cana-2377	103	33	processes	process	NOUN
cana-2377	103	34	.	.	PUNCT
cana-2377	104	1	when	when	SCONJ
cana-2377	104	2	developing	develop	VERB
cana-2377	104	3	the	the	DET
cana-2377	104	4	kalman	kalman	NOUN
cana-2377	104	5	filter	filter	NOUN
cana-2377	104	6	,	,	PUNCT
cana-2377	104	7	correlation	correlation	NOUN
cana-2377	104	8	coefficient	coefficient	NOUN
cana-2377	104	9	variables	variable	NOUN
cana-2377	104	10	from	from	ADP
cana-2377	104	11	𝑝(𝑚	𝑝(𝑚	PROPN
cana-2377	104	12	)	)	PUNCT
cana-2377	104	13	and	and	CCONJ
cana-2377	104	14	𝑞(𝑚	𝑞(𝑚	PROPN
cana-2377	104	15	)	)	PUNCT
cana-2377	104	16	are	be	AUX
cana-2377	104	17	taken	take	VERB
cana-2377	104	18	into	into	ADP
cana-2377	104	19	consideration	consideration	NOUN
cana-2377	104	20	.	.	PUNCT
cana-2377	105	1	these	these	DET
cana-2377	105	2	settings	setting	NOUN
cana-2377	105	3	represent	represent	VERB
cana-2377	105	4	a	a	DET
cana-2377	105	5	compromise	compromise	NOUN
cana-2377	105	6	between	between	ADP
cana-2377	105	7	improved	improve	VERB
cana-2377	105	8	filter	filter	NOUN
cana-2377	105	9	estimates	estimate	NOUN
cana-2377	105	10	and	and	CCONJ
cana-2377	105	11	a	a	DET
cana-2377	105	12	quicker	quick	ADJ
cana-2377	105	13	filter	filter	NOUN
cana-2377	105	14	reaction	reaction	NOUN
cana-2377	105	15	.	.	PUNCT
cana-2377	106	1	the	the	DET
cana-2377	106	2	definition	definition	NOUN
cana-2377	106	3	of	of	ADP
cana-2377	106	4	synchronous	synchronous	ADJ
cana-2377	106	5	covariance	covariance	NOUN
cana-2377	106	6	is	be	AUX
cana-2377	106	7	𝑥	𝑥	PRON
cana-2377	106	8	=	=	SYM
cana-2377	106	9	𝑒[𝑠𝑡	𝑒[𝑠𝑡	NOUN
cana-2377	106	10	𝑠]𝑎𝑛𝑑	𝑠]𝑎𝑛𝑑	NOUN
cana-2377	106	11	𝑦	𝑦	NOUN
cana-2377	106	12	=	=	SYM
cana-2377	106	13	𝑒[𝑡𝑡𝑡	𝑒[𝑡𝑡𝑡	NOUN
cana-2377	106	14	]	]	PUNCT
cana-2377	106	15	(	(	PUNCT
cana-2377	106	16	3	3	X
cana-2377	106	17	)	)	PUNCT
cana-2377	106	18	the	the	DET
cana-2377	106	19	separate	separate	ADJ
cana-2377	106	20	element	element	NOUN
cana-2377	106	21	present	present	VERB
cana-2377	106	22	the	the	DET
cana-2377	106	23	estimation	estimation	NOUN
cana-2377	106	24	and	and	CCONJ
cana-2377	106	25	filter	filter	NOUN
cana-2377	106	26	method	method	NOUN
cana-2377	106	27	of	of	ADP
cana-2377	106	28	the	the	DET
cana-2377	106	29	kalman	kalman	PROPN
cana-2377	106	30	filter	filter	NOUN
cana-2377	106	31	.	.	PUNCT
cana-2377	107	1	in	in	ADP
cana-2377	107	2	a	a	DET
cana-2377	107	3	typical	typical	ADJ
cana-2377	107	4	circuit	circuit	NOUN
cana-2377	107	5	,	,	PUNCT
cana-2377	107	6	the	the	DET
cana-2377	107	7	current	current	ADJ
cana-2377	107	8	signal	signal	NOUN
cana-2377	107	9	is	be	AUX
cana-2377	107	10	expressed	express	VERB
cana-2377	107	11	by	by	ADP
cana-2377	107	12	two	two	NUM
cana-2377	107	13	phases	phase	NOUN
cana-2377	107	14	,	,	PUNCT
cana-2377	107	15	one	one	NUM
cana-2377	107	16	of	of	ADP
cana-2377	107	17	which	which	PRON
cana-2377	107	18	has	have	VERB
cana-2377	107	19	an	an	DET
cana-2377	107	20	initial	initial	ADJ
cana-2377	107	21	phase	phase	NOUN
cana-2377	107	22	of	of	ADP
cana-2377	107	23	1	1	NUM
cana-2377	107	24	degree	degree	NOUN
cana-2377	107	25	and	and	CCONJ
cana-2377	107	26	the	the	DET
cana-2377	107	27	second	second	NOUN
cana-2377	107	28	of	of	ADP
cana-2377	107	29	which	which	PRON
cana-2377	107	30	has	have	VERB
cana-2377	107	31	an	an	DET
cana-2377	107	32	80	80	NUM
cana-2377	107	33	-	-	PUNCT
cana-2377	107	34	degree	degree	NOUN
cana-2377	107	35	shift	shift	NOUN
cana-2377	107	36	.	.	PUNCT
cana-2377	108	1	𝑖(𝑛	𝑖(𝑛	ADV
cana-2377	108	2	)	)	PUNCT
cana-2377	109	1	=	=	SYM
cana-2377	110	1	𝑎1	𝑎1	ADP
cana-2377	110	2	∗	∗	NOUN
cana-2377	110	3	(	(	PUNCT
cana-2377	110	4	cos	cos	PROPN
cana-2377	110	5	𝑠0	𝑠0	PROPN
cana-2377	110	6	𝑡	𝑡	NOUN
cana-2377	110	7	)	)	PUNCT
cana-2377	110	8	−	−	PROPN
cana-2377	110	9	𝑎2	𝑎2	NOUN
cana-2377	110	10	∗	∗	NOUN
cana-2377	110	11	(	(	PUNCT
cana-2377	110	12	𝑠𝑖𝑛𝑠0𝑡	𝑠𝑖𝑛𝑠0𝑡	NOUN
cana-2377	110	13	)	)	PUNCT
cana-2377	110	14	(	(	PUNCT
cana-2377	110	15	4	4	X
cana-2377	110	16	)	)	PUNCT
cana-2377	110	17	where	where	SCONJ
cana-2377	110	18	the	the	DET
cana-2377	110	19	imaginary	imaginary	ADJ
cana-2377	110	20	and	and	CCONJ
cana-2377	110	21	the	the	DET
cana-2377	110	22	real	real	ADJ
cana-2377	110	23	components	component	NOUN
cana-2377	110	24	are	be	AUX
cana-2377	110	25	represented	represent	VERB
cana-2377	110	26	by	by	ADP
cana-2377	110	27	𝑎1	𝑎1	PROPN
cana-2377	110	28	and	and	CCONJ
cana-2377	110	29	𝑎2	𝑎2	PROPN
cana-2377	110	30	,	,	PUNCT
cana-2377	110	31	two	two	NUM
cana-2377	110	32	separate	separate	ADJ
cana-2377	110	33	,	,	PUNCT
cana-2377	110	34	zeromean	zeromean	ADJ
cana-2377	110	35	.	.	PUNCT
cana-2377	111	1	a	a	DET
cana-2377	111	2	two	two	NUM
cana-2377	111	3	-	-	PUNCT
cana-2377	111	4	state	state	NOUN
cana-2377	111	5	model	model	NOUN
cana-2377	111	6	created	create	VERB
cana-2377	111	7	during	during	ADP
cana-2377	111	8	this	this	DET
cana-2377	111	9	project	project	NOUN
cana-2377	111	10	serves	serve	VERB
cana-2377	111	11	as	as	ADP
cana-2377	111	12	the	the	DET
cana-2377	111	13	ideal	ideal	ADJ
cana-2377	111	14	estimator	estimator	PROPN
cana-2377	111	15	kalman	kalman	PROPN
cana-2377	111	16	filter	filter	PROPN
cana-2377	111	17	.	.	PUNCT
cana-2377	112	1	(	(	PUNCT
cana-2377	112	2	𝑎1(𝑛+1	𝑎1(𝑛+1	PROPN
cana-2377	112	3	)	)	PUNCT
cana-2377	112	4	𝑎2(𝑛+2	𝑎2(𝑛+2	PUNCT
cana-2377	112	5	)	)	PUNCT
cana-2377	113	1	=	=	PUNCT
cana-2377	113	2	(	(	PUNCT
cana-2377	113	3	0	0	NUM
cana-2377	113	4	1	1	NUM
cana-2377	113	5	1	1	NUM
cana-2377	113	6	0	0	NUM
cana-2377	113	7	)	)	PUNCT
cana-2377	113	8	(	(	PUNCT
cana-2377	113	9	𝑎1(𝑛	𝑎1(𝑛	NOUN
cana-2377	113	10	)	)	PUNCT
cana-2377	113	11	𝑎2(𝑛	𝑎2(𝑛	NOUN
cana-2377	113	12	)	)	PUNCT
cana-2377	113	13	)	)	PUNCT
cana-2377	113	14	+	+	CCONJ
cana-2377	114	1	[	[	X
cana-2377	114	2	𝑠(𝑛	𝑠(𝑛	PROPN
cana-2377	114	3	)	)	PUNCT
cana-2377	114	4	]	]	PUNCT
cana-2377	114	5	(	(	PUNCT
cana-2377	114	6	5	5	X
cana-2377	114	7	)	)	PUNCT
cana-2377	114	8	process	process	NOUN
cana-2377	114	9	process	process	NOUN
cana-2377	114	10	model	model	NOUN
cana-2377	114	11	residual	residual	ADJ
cana-2377	114	12	generator	generator	NOUN
cana-2377	114	13	limit	limit	NOUN
cana-2377	114	14	checking	check	VERB
cana-2377	114	15	unified	unified	ADJ
cana-2377	114	16	system	system	NOUN
cana-2377	114	17	fault	fault	NOUN
cana-2377	114	18	identification	identification	NOUN
cana-2377	114	19	fault	fault	NOUN
cana-2377	114	20	behaviour	behaviour	NOUN
cana-2377	114	21	fault	fault	NOUN
cana-2377	114	22	detection	detection	NOUN
cana-2377	114	23	fault	fault	NOUN
cana-2377	114	24	isolation	isolation	NOUN
cana-2377	114	25	fault	fault	NOUN
cana-2377	114	26	normal	normal	ADJ
cana-2377	114	27	behaviour	behaviour	NOUN
cana-2377	114	28	fault	fault	NOUN
cana-2377	114	29	t	t	X
cana-2377	114	30	x	x	SYM
cana-2377	114	31	y	y	PROPN
cana-2377	114	32	communications	communication	NOUN
cana-2377	114	33	on	on	ADP
cana-2377	114	34	applied	apply	VERB
cana-2377	114	35	nonlinear	nonlinear	ADJ
cana-2377	114	36	analysis	analysis	NOUN
cana-2377	114	37	issn	issn	NOUN
cana-2377	114	38	:	:	PUNCT
cana-2377	114	39	1074	1074	NUM
cana-2377	114	40	-	-	PUNCT
cana-2377	114	41	133x	133x	NUM
cana-2377	114	42	vol	vol	NOUN
cana-2377	114	43	32	32	NUM
cana-2377	114	44	no	no	NOUN
cana-2377	114	45	.	.	NOUN
cana-2377	114	46	3	3	NUM
cana-2377	114	47	(	(	PUNCT
cana-2377	114	48	2025	2025	NUM
cana-2377	114	49	)	)	PUNCT
cana-2377	114	50	631	631	NUM
cana-2377	114	51	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	114	52	𝑖(𝑛	𝑖(𝑛	ADV
cana-2377	114	53	)	)	PUNCT
cana-2377	114	54	=	=	PUNCT
cana-2377	115	1	[	[	X
cana-2377	115	2	cos	cos	X
cana-2377	115	3	𝑠0	𝑠0	PROPN
cana-2377	115	4	∆𝑡	∆𝑡	PROPN
cana-2377	115	5	−	−	PUNCT
cana-2377	116	1	𝑠𝑖𝑛𝑠0∆𝑡	𝑠𝑖𝑛𝑠0∆𝑡	ADP
cana-2377	116	2	]	]	X
cana-2377	116	3	(	(	PUNCT
cana-2377	116	4	𝑎1(𝑛	𝑎1(𝑛	NOUN
cana-2377	116	5	)	)	PUNCT
cana-2377	116	6	𝑎2(𝑛	𝑎2(𝑛	NOUN
cana-2377	116	7	)	)	PUNCT
cana-2377	116	8	)	)	PUNCT
cana-2377	117	1	+	+	CCONJ
cana-2377	118	1	[	[	X
cana-2377	118	2	𝑡(𝑛	𝑡(𝑛	NOUN
cana-2377	118	3	)	)	PUNCT
cana-2377	118	4	]	]	PUNCT
cana-2377	118	5	(	(	PUNCT
cana-2377	118	6	6	6	NUM
cana-2377	118	7	)	)	PUNCT
cana-2377	118	8	in	in	ADP
cana-2377	118	9	the	the	DET
cana-2377	118	10	case	case	NOUN
cana-2377	118	11	of	of	ADP
cana-2377	118	12	measurement	measurement	NOUN
cana-2377	118	13	vibration	vibration	NOUN
cana-2377	118	14	,	,	PUNCT
cana-2377	118	15	the	the	DET
cana-2377	118	16	setup	setup	NOUN
cana-2377	118	17	of	of	ADP
cana-2377	118	18	𝑎1	𝑎1	NOUN
cana-2377	118	19	and	and	CCONJ
cana-2377	118	20	𝑎2	𝑎2	NOUN
cana-2377	118	21	using	use	VERB
cana-2377	118	22	original	original	ADJ
cana-2377	118	23	standards	standard	NOUN
cana-2377	118	24	and	and	CCONJ
cana-2377	118	25	a	a	DET
cana-2377	118	26	prior	prior	ADJ
cana-2377	118	27	allocation	allocation	NOUN
cana-2377	118	28	of	of	ADP
cana-2377	118	29	the	the	DET
cana-2377	118	30	fault	fault	NOUN
cana-2377	118	31	covariance	covariance	NOUN
cana-2377	118	32	matrix	matrix	NOUN
cana-2377	118	33	𝑞(𝑛	𝑞(𝑛	NOUN
cana-2377	118	34	−	−	PROPN
cana-2377	118	35	2	2	NUM
cana-2377	118	36	)	)	PUNCT
cana-2377	118	37	=	=	SYM
cana-2377	118	38	0	0	NUM
cana-2377	118	39	comes	come	VERB
cana-2377	118	40	first	first	ADV
cana-2377	118	41	.	.	PUNCT
cana-2377	119	1	𝑝(𝑚	𝑝(𝑚	NOUN
cana-2377	119	2	)	)	PUNCT
cana-2377	120	1	=	=	PUNCT
cana-2377	120	2	𝑎𝑝(𝑚	𝑎𝑝(𝑚	NUM
cana-2377	120	3	−	−	PROPN
cana-2377	120	4	2	2	NUM
cana-2377	120	5	)	)	PUNCT
cana-2377	120	6	(	(	PUNCT
cana-2377	120	7	7	7	X
cana-2377	120	8	)	)	PUNCT
cana-2377	120	9	𝑔(𝑚	𝑔(𝑚	PROPN
cana-2377	120	10	)	)	PUNCT
cana-2377	121	1	=	=	X
cana-2377	121	2	𝑎𝑔(𝑚	𝑎𝑔(𝑚	NUM
cana-2377	122	1	−	−	PROPN
cana-2377	123	1	2)𝑎𝑡	2)𝑎𝑡	PROPN
cana-2377	123	2	+	+	CCONJ
cana-2377	123	3	𝑦	𝑦	SYM
cana-2377	123	4	(	(	PUNCT
cana-2377	123	5	8)	8)	NUM
cana-2377	123	6	𝑔(𝑘	𝑔(𝑘	PROPN
cana-2377	123	7	)	)	PUNCT
cana-2377	124	1	=	=	PUNCT
cana-2377	125	1	𝑥(𝑚)𝑐𝑡𝑖𝑛𝑣(𝑐𝑔𝑐𝑡	𝑥(𝑚)𝑐𝑡𝑖𝑛𝑣(𝑐𝑔𝑐𝑡	PUNCT
cana-2377	125	2	+	+	NUM
cana-2377	125	3	𝑦	𝑦	NOUN
cana-2377	125	4	)	)	PUNCT
cana-2377	125	5	(	(	PUNCT
cana-2377	125	6	9	9	NUM
cana-2377	125	7	)	)	PUNCT
cana-2377	125	8	𝑖𝑛𝑛𝑜	𝑖𝑛𝑛𝑜	NOUN
cana-2377	125	9	=	=	SYM
cana-2377	125	10	𝑗(𝑚	𝑗(𝑚	X
cana-2377	125	11	)	)	PUNCT
cana-2377	125	12	−	−	PROPN
cana-2377	125	13	𝑐𝑝(𝑚	𝑐𝑝(𝑚	NUM
cana-2377	125	14	)	)	PUNCT
cana-2377	125	15	(	(	PUNCT
cana-2377	125	16	10	10	NUM
cana-2377	125	17	)	)	PUNCT
cana-2377	125	18	𝑝(𝑚	𝑝(𝑚	PRON
cana-2377	125	19	+	+	ADP
cana-2377	125	20	2	2	X
cana-2377	125	21	)	)	PUNCT
cana-2377	125	22	=	=	SYM
cana-2377	125	23	𝑞(𝑚	𝑞(𝑚	PROPN
cana-2377	125	24	)	)	PUNCT
cana-2377	126	1	+	+	CCONJ
cana-2377	126	2	𝑔𝑘	𝑔𝑘	ADP
cana-2377	126	3	∗	∗	NOUN
cana-2377	126	4	𝑖𝑛𝑛𝑜	𝑖𝑛𝑛𝑜	NOUN
cana-2377	126	5	(	(	PUNCT
cana-2377	126	6	11	11	NUM
cana-2377	126	7	)	)	PUNCT
cana-2377	127	1	[	[	X
cana-2377	127	2	𝑥(𝑚	𝑥(𝑚	X
cana-2377	127	3	+	+	CCONJ
cana-2377	127	4	1	1	NUM
cana-2377	127	5	)	)	PUNCT
cana-2377	127	6	]	]	PUNCT
cana-2377	128	1	=	=	PUNCT
cana-2377	128	2	(	(	PUNCT
cana-2377	128	3	0	0	NUM
cana-2377	128	4	1	1	NUM
cana-2377	128	5	1	1	NUM
cana-2377	128	6	0	0	NUM
cana-2377	128	7	)	)	PUNCT
cana-2377	128	8	∗	∗	NOUN
cana-2377	128	9	[	[	X
cana-2377	128	10	𝑥(𝑚	𝑥(𝑚	NOUN
cana-2377	128	11	)	)	PUNCT
cana-2377	128	12	]	]	PUNCT
cana-2377	129	1	−	−	PUNCT
cana-2377	130	1	[	[	X
cana-2377	130	2	𝑔𝑘	𝑔𝑘	ADP
cana-2377	130	3	∗	∗	X
cana-2377	130	4	𝑐	𝑐	PROPN
cana-2377	130	5	∗	∗	NOUN
cana-2377	130	6	𝑥(𝑚	𝑥(𝑚	NOUN
cana-2377	130	7	)	)	PUNCT
cana-2377	130	8	]	]	PUNCT
cana-2377	130	9	(	(	PUNCT
cana-2377	130	10	12	12	NUM
cana-2377	130	11	)	)	PUNCT
cana-2377	130	12	𝑖𝑒𝑠𝑡𝑖𝑚𝑎𝑡𝑒𝑠	𝑖𝑒𝑠𝑡𝑖𝑚𝑎𝑡𝑒𝑠	NOUN
cana-2377	130	13	=	=	PUNCT
cana-2377	130	14	𝑝𝑥(𝑚	𝑝𝑥(𝑚	PRON
cana-2377	130	15	+	+	NOUN
cana-2377	130	16	1	1	X
cana-2377	130	17	)	)	PUNCT
cana-2377	130	18	(	(	PUNCT
cana-2377	130	19	13	13	NUM
cana-2377	130	20	)	)	PUNCT
cana-2377	130	21	the	the	DET
cana-2377	130	22	adjustment	adjustment	NOUN
cana-2377	130	23	mechanism	mechanism	NOUN
cana-2377	130	24	calculates	calculate	VERB
cana-2377	130	25	the	the	DET
cana-2377	130	26	fault	fault	NOUN
cana-2377	130	27	covariance	covariance	NOUN
cana-2377	130	28	,	,	PUNCT
cana-2377	130	29	the	the	DET
cana-2377	130	30	corrected	correct	VERB
cana-2377	130	31	state	state	NOUN
cana-2377	130	32	vector	vector	NOUN
cana-2377	130	33	,	,	PUNCT
cana-2377	130	34	and	and	CCONJ
cana-2377	130	35	the	the	DET
cana-2377	130	36	advancement	advancement	NOUN
cana-2377	130	37	.	.	PUNCT
cana-2377	131	1	using	use	VERB
cana-2377	131	2	eqs	eqs	PROPN
cana-2377	131	3	.	.	PUNCT
cana-2377	132	1	(	(	PUNCT
cana-2377	132	2	10	10	NUM
cana-2377	132	3	)	)	PUNCT
cana-2377	132	4	through	through	ADP
cana-2377	132	5	(	(	PUNCT
cana-2377	132	6	12	12	NUM
cana-2377	132	7	)	)	PUNCT
cana-2377	132	8	.	.	PUNCT
cana-2377	133	1	at	at	ADP
cana-2377	133	2	last	last	ADV
cana-2377	133	3	,	,	PUNCT
cana-2377	133	4	eq	eq	NOUN
cana-2377	133	5	is	be	AUX
cana-2377	133	6	used	use	VERB
cana-2377	133	7	to	to	PART
cana-2377	133	8	obtain	obtain	VERB
cana-2377	133	9	the	the	DET
cana-2377	133	10	approximate	approximate	ADJ
cana-2377	133	11	output	output	NOUN
cana-2377	133	12	signal	signal	NOUN
cana-2377	133	13	(	(	PUNCT
cana-2377	133	14	13	13	NUM
cana-2377	133	15	)	)	PUNCT
cana-2377	133	16	.	.	PUNCT
cana-2377	134	1	the	the	DET
cana-2377	134	2	kalman	kalman	PROPN
cana-2377	134	3	filter	filter	NOUN
cana-2377	134	4	interaction	interaction	NOUN
cana-2377	134	5	can	can	AUX
cana-2377	134	6	also	also	ADV
cana-2377	134	7	be	be	AUX
cana-2377	134	8	displayed	display	VERB
cana-2377	134	9	for	for	ADP
cana-2377	134	10	consistency	consistency	NOUN
cana-2377	134	11	analytical	analytical	ADJ
cana-2377	134	12	purposes	purpose	NOUN
cana-2377	134	13	by	by	ADP
cana-2377	134	14	undue	undue	ADJ
cana-2377	134	15	.	.	PUNCT
cana-2377	135	1	(	(	PUNCT
cana-2377	135	2	7	7	NUM
cana-2377	135	3	)	)	PUNCT
cana-2377	135	4	and	and	CCONJ
cana-2377	135	5	(	(	PUNCT
cana-2377	135	6	11	11	NUM
cana-2377	135	7	)	)	PUNCT
cana-2377	135	8	.	.	PUNCT
cana-2377	136	1	𝑝(𝑚	𝑝(𝑚	PRON
cana-2377	136	2	+	+	ADP
cana-2377	136	3	1	1	X
cana-2377	136	4	)	)	PUNCT
cana-2377	136	5	=	=	NOUN
cana-2377	136	6	(	(	PUNCT
cana-2377	136	7	𝑎	𝑎	X
cana-2377	136	8	−	−	NOUN
cana-2377	136	9	𝑔𝑘	𝑔𝑘	ADP
cana-2377	136	10	∗	∗	NOUN
cana-2377	136	11	𝑡)𝑒(𝑚	𝑡)𝑒(𝑚	NOUN
cana-2377	136	12	)	)	PUNCT
cana-2377	136	13	(	(	PUNCT
cana-2377	136	14	14	14	NUM
cana-2377	136	15	)	)	PUNCT
cana-2377	136	16	the	the	DET
cana-2377	136	17	model	model	NOUN
cana-2377	136	18	𝑎	𝑎	VERB
cana-2377	136	19	−	−	NOUN
cana-2377	136	20	𝑔𝑘	𝑔𝑘	ADP
cana-2377	136	21	∗	∗	NOUN
cana-2377	136	22	𝑡	𝑡	PROPN
cana-2377	136	23	eigenvalues	eigenvalue	NOUN
cana-2377	136	24	must	must	AUX
cana-2377	136	25	always	always	ADV
cana-2377	136	26	be	be	AUX
cana-2377	136	27	contained	contain	VERB
cana-2377	136	28	within	within	ADP
cana-2377	136	29	the	the	DET
cana-2377	136	30	unification	unification	NOUN
cana-2377	136	31	circular	circular	ADJ
cana-2377	136	32	pattern	pattern	NOUN
cana-2377	136	33	for	for	ADP
cana-2377	136	34	the	the	DET
cana-2377	136	35	kalman	kalman	PROPN
cana-2377	136	36	filter	filter	NOUN
cana-2377	136	37	to	to	PART
cana-2377	136	38	be	be	AUX
cana-2377	136	39	nearly	nearly	ADV
cana-2377	136	40	constant	constant	ADJ
cana-2377	136	41	.	.	PUNCT
cana-2377	137	1	the	the	DET
cana-2377	137	2	method	method	NOUN
cana-2377	137	3	described	describe	VERB
cana-2377	137	4	in	in	ADP
cana-2377	137	5	for	for	ADP
cana-2377	137	6	tuning	tune	VERB
cana-2377	137	7	the	the	DET
cana-2377	137	8	kalman	kalman	NOUN
cana-2377	137	9	filter	filter	NOUN
cana-2377	137	10	is	be	AUX
cana-2377	137	11	the	the	DET
cana-2377	137	12	foundation	foundation	NOUN
cana-2377	137	13	for	for	ADP
cana-2377	137	14	[	[	X
cana-2377	137	15	11	11	NUM
cana-2377	137	16	]	]	PUNCT
cana-2377	137	17	.	.	PUNCT
cana-2377	138	1	to	to	PART
cana-2377	138	2	keep	keep	VERB
cana-2377	138	3	the	the	DET
cana-2377	138	4	filters	filter	NOUN
cana-2377	138	5	are	be	AUX
cana-2377	138	6	consistent	consistent	ADJ
cana-2377	138	7	,	,	PUNCT
cana-2377	138	8	initialize	initialize	VERB
cana-2377	138	9	𝑥	𝑥	PRON
cana-2377	138	10	and	and	CCONJ
cana-2377	138	11	𝑦	𝑦	NOUN
cana-2377	138	12	with	with	ADP
cana-2377	138	13	the	the	DET
cana-2377	138	14	identity	identity	NOUN
cana-2377	138	15	matrix	matrix	NOUN
cana-2377	138	16	.	.	PUNCT
cana-2377	139	1	the	the	DET
cana-2377	139	2	𝑥	𝑥	PROPN
cana-2377	139	3	matrix	matrix	NOUN
cana-2377	139	4	tests	test	NOUN
cana-2377	139	5	are	be	AUX
cana-2377	139	6	then	then	ADV
cana-2377	139	7	adjusted	adjust	VERB
cana-2377	139	8	while	while	SCONJ
cana-2377	139	9	keeping	keep	VERB
cana-2377	139	10	𝑦	𝑦	PRON
cana-2377	139	11	constant	constant	ADJ
cana-2377	139	12	.	.	PUNCT
cana-2377	140	1	whenever	whenever	SCONJ
cana-2377	140	2	a	a	DET
cana-2377	140	3	fault	fault	NOUN
cana-2377	140	4	event	event	NOUN
cana-2377	140	5	is	be	AUX
cana-2377	140	6	generated	generate	VERB
cana-2377	140	7	,	,	PUNCT
cana-2377	140	8	this	this	DET
cana-2377	140	9	same	same	ADJ
cana-2377	140	10	procedure	procedure	NOUN
cana-2377	140	11	's	's	PART
cana-2377	140	12	objective	objective	NOUN
cana-2377	140	13	is	be	AUX
cana-2377	140	14	to	to	PART
cana-2377	140	15	generate	generate	VERB
cana-2377	140	16	approximate	approximate	ADJ
cana-2377	140	17	state	state	NOUN
cana-2377	140	18	the	the	DET
cana-2377	140	19	values	value	NOUN
cana-2377	140	20	with	with	ADP
cana-2377	140	21	little	little	ADJ
cana-2377	140	22	noise	noise	NOUN
cana-2377	140	23	.	.	PUNCT
cana-2377	141	1	reducing	reduce	VERB
cana-2377	141	2	values	value	NOUN
cana-2377	141	3	of	of	ADP
cana-2377	141	4	matrix	matrix	NOUN
cana-2377	141	5	𝑥	𝑥	NOUN
cana-2377	141	6	can	can	AUX
cana-2377	141	7	fulfill	fulfill	VERB
cana-2377	141	8	this	this	DET
cana-2377	141	9	condition	condition	NOUN
cana-2377	141	10	.	.	PUNCT
cana-2377	142	1	consequently	consequently	ADV
cana-2377	142	2	,	,	PUNCT
cana-2377	142	3	following	follow	VERB
cana-2377	142	4	some	some	DET
cana-2377	142	5	matlab	matlab	PROPN
cana-2377	142	6	tests	test	NOUN
cana-2377	142	7	,	,	PUNCT
cana-2377	142	8	the	the	DET
cana-2377	142	9	ideal	ideal	ADJ
cana-2377	142	10	matrix	matrix	NOUN
cana-2377	142	11	are	be	AUX
cana-2377	142	12	𝑥	𝑥	NOUN
cana-2377	142	13	=	=	PUNCT
cana-2377	142	14	(	(	PUNCT
cana-2377	142	15	0.002	0.002	NUM
cana-2377	142	16	0	0	NUM
cana-2377	142	17	0	0	NUM
cana-2377	142	18	0.002	0.002	NUM
cana-2377	142	19	)	)	PUNCT
cana-2377	142	20	𝑦	𝑦	NOUN
cana-2377	142	21	=	=	SYM
cana-2377	142	22	(	(	PUNCT
cana-2377	142	23	0	0	NUM
cana-2377	142	24	1	1	NUM
cana-2377	142	25	1	1	NUM
cana-2377	142	26	0	0	NUM
cana-2377	142	27	)	)	PUNCT
cana-2377	142	28	(	(	PUNCT
cana-2377	142	29	15	15	X
cana-2377	142	30	)	)	PUNCT
cana-2377	142	31	the	the	DET
cana-2377	142	32	above	above	ADJ
cana-2377	142	33	matrix	matrix	NOUN
cana-2377	142	34	values	value	NOUN
cana-2377	142	35	enable	enable	VERB
cana-2377	142	36	an	an	DET
cana-2377	142	37	approximation	approximation	NOUN
cana-2377	142	38	stable	stable	ADJ
cana-2377	142	39	solution	solution	NOUN
cana-2377	142	40	to	to	ADP
cana-2377	142	41	equation	equation	NOUN
cana-2377	142	42	(	(	PUNCT
cana-2377	142	43	15	15	NUM
cana-2377	142	44	)	)	PUNCT
cana-2377	142	45	.	.	PUNCT
cana-2377	143	1	once	once	SCONJ
cana-2377	143	2	the	the	DET
cana-2377	143	3	model	model	NOUN
cana-2377	143	4	is	be	AUX
cana-2377	143	5	chosen	choose	VERB
cana-2377	143	6	,	,	PUNCT
cana-2377	143	7	predictions	prediction	NOUN
cana-2377	143	8	or	or	CCONJ
cana-2377	143	9	simulation	simulation	NOUN
cana-2377	143	10	models	model	NOUN
cana-2377	143	11	can	can	AUX
cana-2377	143	12	be	be	AUX
cana-2377	143	13	made	make	VERB
cana-2377	143	14	,	,	PUNCT
cana-2377	143	15	which	which	PRON
cana-2377	143	16	was	be	AUX
cana-2377	143	17	the	the	DET
cana-2377	143	18	case	case	NOUN
cana-2377	143	19	with	with	ADP
cana-2377	143	20	the	the	DET
cana-2377	143	21	neural	neural	ADJ
cana-2377	143	22	network	network	NOUN
cana-2377	143	23	model	model	NOUN
cana-2377	143	24	[	[	X
cana-2377	143	25	12	12	NUM
cana-2377	143	26	]	]	PUNCT
cana-2377	143	27	.	.	PUNCT
cana-2377	144	1	figure	figure	VERB
cana-2377	144	2	3.3	3.3	NUM
cana-2377	144	3	.	.	PUNCT
cana-2377	145	1	kalman	kalman	NOUN
cana-2377	145	2	filter	filter	PROPN
cana-2377	145	3	for	for	ADP
cana-2377	145	4	defect	defect	NOUN
cana-2377	145	5	detection	detection	NOUN
cana-2377	145	6	direct	direct	ADJ
cana-2377	145	7	current	current	ADJ
cana-2377	145	8	motor	motor	NOUN
cana-2377	145	9	kalman	kalman	PROPN
cana-2377	145	10	filter	filter	PROPN
cana-2377	145	11	1	1	PROPN
cana-2377	145	12	kalman	kalman	PROPN
cana-2377	145	13	filter	filter	NOUN
cana-2377	145	14	2	2	NUM
cana-2377	145	15	residual	residual	ADJ
cana-2377	145	16	generator	generator	NOUN
cana-2377	145	17	fault	fault	NOUN
cana-2377	145	18	decision	decision	NOUN
cana-2377	145	19	𝑎	𝑎	PRON
cana-2377	145	20	−	−	NOUN
cana-2377	145	21	𝑔𝑘	𝑔𝑘	ADP
cana-2377	145	22	∗	∗	NOUN
cana-2377	145	23	𝑡	𝑡	X
cana-2377	145	24	p	p	X
cana-2377	145	25	(	(	PUNCT
cana-2377	145	26	n	n	CCONJ
cana-2377	145	27	)	)	PUNCT
cana-2377	145	28	p	p	NOUN
cana-2377	145	29	(	(	PUNCT
cana-2377	145	30	n	n	CCONJ
cana-2377	145	31	)	)	PUNCT
cana-2377	145	32	,	,	PUNCT
cana-2377	145	33	q	q	X
cana-2377	145	34	(	(	PUNCT
cana-2377	145	35	n	n	CCONJ
cana-2377	145	36	)	)	PUNCT
cana-2377	145	37	i(n	i(n	PROPN
cana-2377	145	38	)	)	PUNCT
cana-2377	145	39	p(n+1	p(n+1	PROPN
cana-2377	145	40	)	)	PUNCT
cana-2377	145	41	n(n	n(n	NOUN
cana-2377	145	42	)	)	PUNCT
cana-2377	145	43	communications	communication	NOUN
cana-2377	145	44	on	on	ADP
cana-2377	145	45	applied	apply	VERB
cana-2377	145	46	nonlinear	nonlinear	ADJ
cana-2377	145	47	analysis	analysis	NOUN
cana-2377	145	48	issn	issn	NOUN
cana-2377	145	49	:	:	PUNCT
cana-2377	145	50	1074	1074	NUM
cana-2377	145	51	-	-	PUNCT
cana-2377	145	52	133x	133x	NUM
cana-2377	145	53	vol	vol	NOUN
cana-2377	145	54	32	32	NUM
cana-2377	145	55	no	no	NOUN
cana-2377	145	56	.	.	NOUN
cana-2377	145	57	3	3	NUM
cana-2377	145	58	(	(	PUNCT
cana-2377	145	59	2025	2025	NUM
cana-2377	145	60	)	)	PUNCT
cana-2377	145	61	632	632	NUM
cana-2377	145	62	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2377	145	63	extended	extend	VERB
cana-2377	145	64	kalman	kalman	NOUN
cana-2377	145	65	filter	filter	NOUN
cana-2377	145	66	:	:	PUNCT
cana-2377	145	67	the	the	DET
cana-2377	145	68	kalman	kalman	PROPN
cana-2377	145	69	filtering	filtering	PROPN
cana-2377	145	70	method	method	PROPN
cana-2377	145	71	employs	employ	VERB
cana-2377	145	72	a	a	DET
cana-2377	145	73	sequence	sequence	NOUN
cana-2377	145	74	of	of	ADP
cana-2377	145	75	measurements	measurement	NOUN
cana-2377	145	76	with	with	ADP
cana-2377	145	77	random	random	ADJ
cana-2377	145	78	variation	variation	NOUN
cana-2377	145	79	to	to	PART
cana-2377	145	80	provide	provide	VERB
cana-2377	145	81	estimates	estimate	NOUN
cana-2377	145	82	of	of	ADP
cana-2377	145	83	unknown	unknown	ADJ
cana-2377	145	84	factors	factor	NOUN
cana-2377	145	85	.	.	PUNCT
cana-2377	146	1	this	this	DET
cana-2377	146	2	method	method	NOUN
cana-2377	146	3	of	of	ADP
cana-2377	146	4	operation	operation	NOUN
cana-2377	146	5	is	be	AUX
cana-2377	146	6	recursive	recursive	ADJ
cana-2377	146	7	,	,	PUNCT
cana-2377	146	8	suitable	suitable	ADJ
cana-2377	146	9	for	for	ADP
cana-2377	146	10	inline	inline	ADJ
cana-2377	146	11	real	real	ADJ
cana-2377	146	12	-	-	PUNCT
cana-2377	146	13	time	time	NOUN
cana-2377	146	14	processing	processing	NOUN
cana-2377	146	15	,	,	PUNCT
cana-2377	146	16	and	and	CCONJ
cana-2377	146	17	processes	process	VERB
cana-2377	146	18	new	new	ADJ
cana-2377	146	19	data	datum	NOUN
cana-2377	146	20	as	as	SCONJ
cana-2377	146	21	it	it	PRON
cana-2377	146	22	comes	come	VERB
cana-2377	146	23	in	in	ADV
cana-2377	146	24	.	.	PUNCT
cana-2377	147	1	once	once	SCONJ
cana-2377	147	2	the	the	DET
cana-2377	147	3	system	system	NOUN
cana-2377	147	4	being	be	AUX
cana-2377	147	5	considered	consider	VERB
cana-2377	147	6	is	be	AUX
cana-2377	147	7	changing	change	VERB
cana-2377	147	8	,	,	PUNCT
cana-2377	147	9	the	the	DET
cana-2377	147	10	ekf	ekf	NOUN
cana-2377	147	11	is	be	AUX
cana-2377	147	12	used	use	VERB
cana-2377	147	13	because	because	SCONJ
cana-2377	147	14	the	the	DET
cana-2377	147	15	kalman	kalman	PROPN
cana-2377	147	16	filter	filter	NOUN
cana-2377	147	17	could	could	AUX
cana-2377	147	18	only	only	ADV
cana-2377	147	19	operate	operate	VERB
cana-2377	147	20	with	with	ADP
cana-2377	147	21	systems	system	NOUN
cana-2377	147	22	of	of	ADP
cana-2377	147	23	equations	equation	NOUN
cana-2377	147	24	.	.	PUNCT
cana-2377	148	1	suggest	suggest	VERB
cana-2377	148	2	a	a	DET
cana-2377	148	3	nonlinear	nonlinear	ADJ
cana-2377	148	4	system	system	NOUN
cana-2377	148	5	that	that	PRON
cana-2377	148	6	can	can	AUX
cana-2377	148	7	be	be	AUX
cana-2377	148	8	explained	explain	VERB
cana-2377	148	9	by	by	ADP
cana-2377	148	10	the	the	DET
cana-2377	148	11	two	two	NUM
cana-2377	148	12	equations	equation	NOUN
cana-2377	148	13	below	below	ADP
cana-2377	148	14	:	:	PUNCT
cana-2377	148	15	𝑚𝑡+1	𝑚𝑡+1	NUM
cana-2377	148	16	=	=	SYM
cana-2377	148	17	𝑥(𝑦𝑡	𝑥(𝑦𝑡	PROPN
cana-2377	148	18	)	)	PUNCT
cana-2377	148	19	+	+	NUM
cana-2377	148	20	𝑣𝑡	𝑣𝑡	ADP
cana-2377	148	21	(	(	PUNCT
cana-2377	148	22	16	16	NUM
cana-2377	148	23	)	)	PUNCT
cana-2377	148	24	𝑛𝑡	𝑛𝑡	NOUN
cana-2377	148	25	=	=	SYM
cana-2377	148	26	𝑦(𝑦𝑡	𝑦(𝑦𝑡	PROPN
cana-2377	148	27	)	)	PUNCT
cana-2377	149	1	+	+	CCONJ
cana-2377	149	2	𝑠𝑡	𝑠𝑡	PROPN
cana-2377	149	3	(	(	PUNCT
cana-2377	149	4	17	17	NUM
cana-2377	149	5	)	)	PUNCT
cana-2377	149	6	where	where	SCONJ
cana-2377	149	7	𝑥	𝑥	NOUN
cana-2377	149	8	is	be	AUX
cana-2377	149	9	a	a	DET
cana-2377	149	10	variational	variational	ADJ
cana-2377	149	11	function	function	NOUN
cana-2377	149	12	that	that	PRON
cana-2377	149	13	delivers	deliver	VERB
cana-2377	149	14	the	the	DET
cana-2377	149	15	program	program	NOUN
cana-2377	149	16	's	's	PART
cana-2377	149	17	procedure	procedure	NOUN
cana-2377	149	18	and	and	CCONJ
cana-2377	149	19	𝑦	𝑦	NOUN
cana-2377	149	20	is	be	AUX
cana-2377	149	21	the	the	DET
cana-2377	149	22	observation	observation	NOUN
cana-2377	149	23	(	(	PUNCT
cana-2377	149	24	nonlinear	nonlinear	ADJ
cana-2377	149	25	)	)	PUNCT
cana-2377	149	26	function	function	NOUN
cana-2377	149	27	,	,	PUNCT
cana-2377	149	28	and	and	CCONJ
cana-2377	149	29	𝑌𝑡	𝑌𝑡	PROPN
cana-2377	149	30	is	be	AUX
cana-2377	149	31	a	a	DET
cana-2377	149	32	route	route	NOUN
cana-2377	149	33	that	that	PRON
cana-2377	149	34	explains	explain	VERB
cana-2377	149	35	the	the	DET
cana-2377	149	36	system	system	NOUN
cana-2377	149	37	's	's	PART
cana-2377	149	38	current	current	ADJ
cana-2377	149	39	state	state	NOUN
cana-2377	149	40	.	.	PUNCT
cana-2377	150	1	the	the	DET
cana-2377	150	2	kalman	kalman	PROPN
cana-2377	150	3	filter	filter	NOUN
cana-2377	150	4	offers	offer	VERB
cana-2377	150	5	a	a	DET
cana-2377	150	6	technique	technique	NOUN
cana-2377	150	7	for	for	ADP
cana-2377	150	8	recursively	recursively	ADV
cana-2377	150	9	estimating	estimate	VERB
cana-2377	150	10	the	the	DET
cana-2377	150	11	unidentified	unidentified	ADJ
cana-2377	150	12	state	state	NOUN
cana-2377	150	13	y	y	PROPN
cana-2377	150	14	using	use	VERB
cana-2377	150	15	monitoring	monitoring	NOUN
cana-2377	150	16	value	value	NOUN
cana-2377	150	17	𝑦	𝑦	NOUN
cana-2377	150	18	up	up	ADP
cana-2377	150	19	to	to	ADP
cana-2377	150	20	time	time	NOUN
cana-2377	150	21	𝑡	𝑡	PROPN
cana-2377	151	1	[	[	X
cana-2377	151	2	13	13	NUM
cana-2377	151	3	]	]	PUNCT
cana-2377	151	4	.	.	PUNCT
cana-2377	152	1	figure	figure	VERB
cana-2377	152	2	3.4	3.4	NUM
cana-2377	152	3	.	.	PUNCT
cana-2377	153	1	flowchart	flowchart	NOUN
cana-2377	153	2	of	of	ADP
cana-2377	153	3	extended	extended	ADJ
cana-2377	153	4	kalman	kalman	NOUN
cana-2377	153	5	filter	filter	PROPN
cana-2377	153	6	1	1	NUM
cana-2377	153	7	.	.	PUNCT
cana-2377	153	8	initialization	initialization	NOUN
cana-2377	153	9	:	:	PUNCT
cana-2377	153	10	𝑚𝑡	𝑚𝑡	PROPN
cana-2377	153	11	𝑎	𝑎	X
cana-2377	153	12	=	=	VERB
cana-2377	153	13	𝑚0	𝑚0	NOUN
cana-2377	153	14	where	where	SCONJ
cana-2377	153	15	𝑞0	𝑞0	NOUN
cana-2377	153	16	is	be	AUX
cana-2377	153	17	the	the	DET
cana-2377	153	18	structure	structure	NOUN
cana-2377	153	19	of	of	ADP
cana-2377	153	20	fault	fault	NOUN
cana-2377	153	21	covariance	covariance	NOUN
cana-2377	153	22	.	.	PUNCT
cana-2377	154	1	2	2	X
cana-2377	154	2	.	.	X
cana-2377	154	3	next	next	ADJ
cana-2377	154	4	estimator	estimator	NOUN
cana-2377	154	5	step	step	NOUN
cana-2377	154	6	(	(	PUNCT
cana-2377	154	7	𝑻	𝑻	NOUN
cana-2377	154	8	)	)	PUNCT
cana-2377	154	9	th	th	NOUN
cana-2377	154	10	:	:	PUNCT
cana-2377	154	11	𝑚𝑡	𝑚𝑡	PROPN
cana-2377	154	12	𝑎	𝑎	PROPN
cana-2377	154	13	=	=	NOUN
cana-2377	154	14	𝑔(𝑚𝑡−1	𝑔(𝑚𝑡−1	PRON
cana-2377	154	15	𝑎	𝑎	NOUN
cana-2377	154	16	)	)	PUNCT
cana-2377	154	17	(	(	PUNCT
cana-2377	154	18	18	18	NUM
cana-2377	154	19	)	)	PUNCT
cana-2377	154	20	start	start	VERB
cana-2377	154	21	initialize	initialize	NOUN
cana-2377	154	22	variables	variable	NOUN
cana-2377	154	23	eg	eg	NOUN
cana-2377	154	24	:	:	PUNCT
cana-2377	154	25	covariance	covariance	NOUN
cana-2377	154	26	matrix	matrix	NOUN
cana-2377	154	27	begin	begin	VERB
cana-2377	154	28	iteration	iteration	NOUN
cana-2377	155	1	i=1	i=1	PRON
cana-2377	155	2	get	get	VERB
cana-2377	155	3	parameter	parameter	NOUN
cana-2377	155	4	estimates	estimate	NOUN
cana-2377	155	5	update	update	VERB
cana-2377	155	6	p(n	p(n	NOUN
cana-2377	155	7	)	)	PUNCT
cana-2377	155	8	perform	perform	NOUN
cana-2377	155	9	are	be	AUX
cana-2377	155	10	i	i	PRON
cana-2377	155	11	continues	continue	VERB
cana-2377	155	12	points	point	NOUN
cana-2377	155	13	of	of	ADP
cana-2377	155	14	estimates	estimate	NOUN
cana-2377	155	15	fault	fault	VERB
cana-2377	155	16	end	end	VERB
cana-2377	155	17	yes	yes	DET
cana-2377	155	18	p(n)=1	p(n)=1	NOUN
cana-2377	155	19	no	no	DET
cana-2377	155	20	communications	communication	NOUN
cana-2377	155	21	on	on	ADP
cana-2377	155	22	applied	apply	VERB
cana-2377	155	23	nonlinear	nonlinear	ADJ
cana-2377	155	24	analysis	analysis	NOUN
cana-2377	155	25	issn	issn	NOUN
cana-2377	155	26	:	:	PUNCT
cana-2377	155	27	1074	1074	NUM
cana-2377	155	28	-	-	PUNCT
cana-2377	155	29	133x	133x	NUM
cana-2377	155	30	vol	vol	NOUN
cana-2377	155	31	32	32	NUM
cana-2377	156	1	no	no	NOUN
cana-2377	156	2	.	.	NOUN
cana-2377	156	3	3	3	NUM
cana-2377	156	4	(	(	PUNCT
cana-2377	156	5	2025	2025	NUM
cana-2377	156	6	)	)	PUNCT
cana-2377	156	7	633	633	NUM
cana-2377	157	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	157	2	𝑞𝑡	𝑞𝑡	PRON
cana-2377	157	3	𝑞	𝑞	X
cana-2377	157	4	=	=	PUNCT
cana-2377	157	5	𝑙𝑓(𝑚𝑡−1	𝑙𝑓(𝑚𝑡−1	PROPN
cana-2377	157	6	𝑎	𝑎	NOUN
cana-2377	157	7	)	)	PUNCT
cana-2377	157	8	.	.	PUNCT
cana-2377	158	1	𝑞𝑡−1	𝑞𝑡−1	PROPN
cana-2377	158	2	.	.	PUNCT
cana-2377	159	1	𝑙𝑠	𝑙𝑠	PROPN
cana-2377	159	2	𝑘(𝑚𝑡−1	𝑘(𝑚𝑡−1	NUM
cana-2377	159	3	𝑎	𝑎	NOUN
cana-2377	159	4	)	)	PUNCT
cana-2377	160	1	+	+	CCONJ
cana-2377	160	2	𝑝𝑡=1	𝑝𝑡=1	NOUN
cana-2377	160	3	wherever	wherever	SCONJ
cana-2377	160	4	𝑝𝑡	𝑝𝑡	NOUN
cana-2377	160	5	=	=	SYM
cana-2377	160	6	𝑠[𝑣𝑡	𝑠[𝑣𝑡	NOUN
cana-2377	160	7	.	.	PUNCT
cana-2377	161	1	𝑣𝑡−1	𝑣𝑡−1	VERB
cana-2377	161	2	𝑘	𝑘	X
cana-2377	161	3	]	]	PUNCT
cana-2377	161	4	is	be	AUX
cana-2377	161	5	the	the	DET
cana-2377	161	6	structure	structure	NOUN
cana-2377	161	7	of	of	ADP
cana-2377	161	8	procedure	procedure	NOUN
cana-2377	161	9	interference	interference	NOUN
cana-2377	161	10	covariance	covariance	NOUN
cana-2377	161	11	.	.	PUNCT
cana-2377	162	1	3	3	X
cana-2377	162	2	.	.	X
cana-2377	162	3	the	the	DET
cana-2377	162	4	𝑻	𝑻	PROPN
cana-2377	162	5	th	th	X
cana-2377	162	6	reparative	reparative	ADJ
cana-2377	162	7	step	step	NOUN
cana-2377	162	8	:	:	PUNCT
cana-2377	162	9	𝑚𝑡	𝑚𝑡	PROPN
cana-2377	163	1	𝑎	𝑎	X
cana-2377	163	2	=	=	PUNCT
cana-2377	163	3	𝑚𝑡	𝑚𝑡	PROPN
cana-2377	163	4	𝑝	𝑝	PROPN
cana-2377	163	5	+	+	NUM
cana-2377	163	6	𝑙𝑡.	𝑙𝑡.	PROPN
cana-2377	163	7	(	(	PUNCT
cana-2377	163	8	𝑛𝑡	𝑛𝑡	NOUN
cana-2377	163	9	−	−	PROPN
cana-2377	163	10	𝑦(𝑚𝑡	𝑦(𝑚𝑡	PROPN
cana-2377	163	11	𝑝	𝑝	PROPN
cana-2377	163	12	)	)	PUNCT
cana-2377	163	13	)	)	PUNCT
cana-2377	163	14	,	,	PUNCT
cana-2377	163	15	(	(	PUNCT
cana-2377	163	16	19	19	NUM
cana-2377	163	17	)	)	PUNCT
cana-2377	163	18	𝑙𝑡	𝑙𝑡	NOUN
cana-2377	163	19	=	=	PUNCT
cana-2377	163	20	𝑞𝑘	𝑞𝑘	ADP
cana-2377	163	21	𝑞	𝑞	PROPN
cana-2377	163	22	.	.	PUNCT
cana-2377	164	1	𝑙ℎ	𝑙ℎ	ADP
cana-2377	164	2	𝑘.	𝑘.	NOUN
cana-2377	164	3	(	(	PUNCT
cana-2377	164	4	𝑙ℎ(𝑚𝑡	𝑙ℎ(𝑚𝑡	PROPN
cana-2377	164	5	𝑝	𝑝	PROPN
cana-2377	164	6	)	)	PUNCT
cana-2377	164	7	.	.	PUNCT
cana-2377	165	1	𝑞𝑡	𝑞𝑡	PRON
cana-2377	165	2	𝑞	𝑞	PROPN
cana-2377	165	3	.	.	PUNCT
cana-2377	166	1	𝑙ℎ	𝑙ℎ	PROPN
cana-2377	166	2	𝑘(𝑚𝑡	𝑘(𝑚𝑡	PROPN
cana-2377	166	3	𝑝	𝑝	PROPN
cana-2377	166	4	)	)	PUNCT
cana-2377	166	5	+	+	NUM
cana-2377	167	1	𝑠𝑡	𝑠𝑡	PROPN
cana-2377	167	2	)	)	PUNCT
cana-2377	167	3	wherever	wherever	SCONJ
cana-2377	167	4	𝑠𝑡	𝑠𝑡	PROPN
cana-2377	167	5	=	=	SYM
cana-2377	167	6	𝑒[𝑠𝑡	𝑒[𝑠𝑡	PROPN
cana-2377	167	7	,	,	PUNCT
cana-2377	167	8	𝑠𝑡	𝑠𝑡	PROPN
cana-2377	167	9	𝑘	𝑘	X
cana-2377	167	10	]	]	X
cana-2377	167	11	,	,	PUNCT
cana-2377	167	12	𝑞𝑡	𝑞𝑡	PRON
cana-2377	167	13	=	=	PUNCT
cana-2377	167	14	(	(	PUNCT
cana-2377	167	15	𝑗	𝑗	INTJ
cana-2377	167	16	−	−	PROPN
cana-2377	167	17	𝑙𝑡.	𝑙𝑡.	NOUN
cana-2377	167	18	𝑙ℎ(𝑚𝑡	𝑙ℎ(𝑚𝑡	PROPN
cana-2377	167	19	𝑝	𝑝	PROPN
cana-2377	167	20	)	)	PUNCT
cana-2377	167	21	)	)	PUNCT
cana-2377	167	22	.	.	PUNCT
cana-2377	168	1	𝑞𝑡	𝑞𝑡	PRON
cana-2377	168	2	𝑝	𝑝	PROPN
cana-2377	168	3	(	(	PUNCT
cana-2377	168	4	20	20	NUM
cana-2377	168	5	)	)	PUNCT
cana-2377	168	6	where	where	SCONJ
cana-2377	168	7	a	a	PRON
cana-2377	168	8	represents	represent	VERB
cana-2377	168	9	the	the	DET
cana-2377	168	10	variable	variable	NOUN
cana-2377	168	11	's	's	PART
cana-2377	168	12	real	real	ADJ
cana-2377	168	13	value	value	NOUN
cana-2377	168	14	,	,	PUNCT
cana-2377	168	15	𝑞	𝑞	X
cana-2377	168	16	its	its	PRON
cana-2377	168	17	prediction	prediction	NOUN
cana-2377	168	18	,	,	PUNCT
cana-2377	168	19	𝑙ℎ	𝑙ℎ	ADP
cana-2377	168	20	its	its	PRON
cana-2377	168	21	jacobian	jacobian	ADJ
cana-2377	168	22	matrix	matrix	NOUN
cana-2377	168	23	,	,	PUNCT
cana-2377	168	24	𝑙𝑓	𝑙𝑓	ADP
cana-2377	168	25	its	its	PRON
cana-2377	168	26	jacobian	jacobian	ADJ
cana-2377	168	27	matrix	matrix	NOUN
cana-2377	168	28	,	,	PUNCT
cana-2377	168	29	and	and	CCONJ
cana-2377	168	30	𝑙𝑡	𝑙𝑡	VERB
cana-2377	168	31	its	its	PRON
cana-2377	168	32	kalman	kalman	NOUN
cana-2377	168	33	gain	gain	NOUN
cana-2377	168	34	matrix	matrix	NOUN
cana-2377	168	35	,	,	PUNCT
cana-2377	168	36	which	which	PRON
cana-2377	168	37	determines	determine	VERB
cana-2377	168	38	how	how	SCONJ
cana-2377	168	39	quickly	quickly	ADV
cana-2377	168	40	the	the	DET
cana-2377	168	41	filter	filter	NOUN
cana-2377	168	42	adapts	adapt	VERB
cana-2377	168	43	to	to	ADP
cana-2377	168	44	new	new	ADJ
cana-2377	168	45	potential	potential	ADJ
cana-2377	168	46	situations	situation	NOUN
cana-2377	168	47	or	or	CCONJ
cana-2377	168	48	variations	variation	NOUN
cana-2377	168	49	of	of	ADP
cana-2377	168	50	the	the	DET
cana-2377	168	51	type	type	NOUN
cana-2377	168	52	of	of	ADP
cana-2377	168	53	data	datum	NOUN
cana-2377	168	54	.	.	PUNCT
cana-2377	169	1	neural	neural	ADJ
cana-2377	169	2	network	network	NOUN
cana-2377	169	3	:	:	PUNCT
cana-2377	169	4	an	an	DET
cana-2377	169	5	input	input	NOUN
cana-2377	169	6	layer	layer	NOUN
cana-2377	169	7	,	,	PUNCT
cana-2377	169	8	a	a	DET
cana-2377	169	9	hidden	hidden	ADJ
cana-2377	169	10	layer	layer	NOUN
cana-2377	169	11	,	,	PUNCT
cana-2377	169	12	and	and	CCONJ
cana-2377	169	13	an	an	DET
cana-2377	169	14	output	output	NOUN
cana-2377	169	15	layer	layer	NOUN
cana-2377	169	16	are	be	AUX
cana-2377	169	17	all	all	ADV
cana-2377	169	18	present	present	ADJ
cana-2377	169	19	in	in	ADP
cana-2377	169	20	this	this	DET
cana-2377	169	21	network	network	NOUN
cana-2377	169	22	.	.	PUNCT
cana-2377	170	1	the	the	DET
cana-2377	170	2	mapping	mapping	NOUN
cana-2377	170	3	function	function	NOUN
cana-2377	170	4	and	and	CCONJ
cana-2377	170	5	the	the	DET
cana-2377	170	6	weight	weight	NOUN
cana-2377	170	7	training	training	NOUN
cana-2377	170	8	of	of	ADP
cana-2377	170	9	the	the	DET
cana-2377	170	10	values	value	NOUN
cana-2377	170	11	that	that	PRON
cana-2377	170	12	enter	enter	VERB
cana-2377	170	13	and	and	CCONJ
cana-2377	170	14	exit	exit	VERB
cana-2377	170	15	the	the	DET
cana-2377	170	16	system	system	NOUN
cana-2377	170	17	connect	connect	VERB
cana-2377	170	18	them	they	PRON
cana-2377	170	19	.	.	PUNCT
cana-2377	171	1	following	follow	VERB
cana-2377	171	2	the	the	DET
cana-2377	171	3	network	network	NOUN
cana-2377	171	4	's	's	PART
cana-2377	171	5	computation	computation	NOUN
cana-2377	171	6	of	of	ADP
cana-2377	171	7	the	the	DET
cana-2377	171	8	ekf	ekf	PROPN
cana-2377	171	9	,	,	PUNCT
cana-2377	171	10	the	the	DET
cana-2377	171	11	state	state	NOUN
cana-2377	171	12	vectors	vector	NOUN
cana-2377	171	13	,	,	PUNCT
cana-2377	171	14	observation	observation	NOUN
cana-2377	171	15	data	datum	NOUN
cana-2377	171	16	vectors	vector	NOUN
cana-2377	171	17	,	,	PUNCT
cana-2377	171	18	and	and	CCONJ
cana-2377	171	19	estimate	estimate	VERB
cana-2377	171	20	forecasts	forecast	NOUN
cana-2377	171	21	of	of	ADP
cana-2377	171	22	the	the	DET
cana-2377	171	23	filter	filter	NOUN
cana-2377	171	24	are	be	AUX
cana-2377	171	25	modified	modify	VERB
cana-2377	171	26	using	use	VERB
cana-2377	171	27	the	the	DET
cana-2377	171	28	same	same	ADJ
cana-2377	171	29	weights	weight	NOUN
cana-2377	171	30	.	.	PUNCT
cana-2377	172	1	figure	figure	NOUN
cana-2377	172	2	3.5	3.5	NUM
cana-2377	172	3	.	.	PUNCT
cana-2377	173	1	structure	structure	NOUN
cana-2377	173	2	of	of	ADP
cana-2377	173	3	the	the	DET
cana-2377	173	4	neural	neural	ADJ
cana-2377	173	5	network	network	NOUN
cana-2377	173	6	in	in	ADP
cana-2377	173	7	figure	figure	NOUN
cana-2377	173	8	3.5	3.5	NUM
cana-2377	173	9	all	all	DET
cana-2377	173	10	inputs	input	NOUN
cana-2377	173	11	,	,	PUNCT
cana-2377	173	12	outputs	output	NOUN
cana-2377	173	13	,	,	PUNCT
cana-2377	173	14	and	and	CCONJ
cana-2377	173	15	network	network	NOUN
cana-2377	173	16	weights	weight	NOUN
cana-2377	173	17	must	must	AUX
cana-2377	173	18	first	first	ADV
cana-2377	173	19	be	be	AUX
cana-2377	173	20	organized	organize	VERB
cana-2377	173	21	as	as	ADP
cana-2377	173	22	input	input	NOUN
cana-2377	173	23	vectors	vector	NOUN
cana-2377	173	24	before	before	SCONJ
cana-2377	173	25	a	a	DET
cana-2377	173	26	neural	neural	ADJ
cana-2377	173	27	network	network	NOUN
cana-2377	173	28	can	can	AUX
cana-2377	173	29	be	be	AUX
cana-2377	173	30	trained	train	VERB
cana-2377	173	31	[	[	PUNCT
cana-2377	173	32	15	15	NUM
cana-2377	173	33	]	]	SYM
cana-2377	173	34	.	.	PUNCT
cana-2377	174	1	4	4	X
cana-2377	174	2	.	.	X
cana-2377	174	3	implementation	implementation	NOUN
cana-2377	174	4	and	and	CCONJ
cana-2377	174	5	experimental	experimental	ADJ
cana-2377	174	6	results	result	NOUN
cana-2377	174	7	the	the	DET
cana-2377	174	8	selected	select	VERB
cana-2377	174	9	situation	situation	NOUN
cana-2377	174	10	is	be	AUX
cana-2377	174	11	presented	present	VERB
cana-2377	174	12	first	first	ADV
cana-2377	174	13	.	.	PUNCT
cana-2377	175	1	following	follow	VERB
cana-2377	175	2	that	that	PRON
cana-2377	175	3	,	,	PUNCT
cana-2377	175	4	the	the	DET
cana-2377	175	5	nn	nn	NOUN
cana-2377	175	6	-	-	PUNCT
cana-2377	175	7	ability	ability	NOUN
cana-2377	175	8	ekf	ekf	PROPN
cana-2377	175	9	's	's	PART
cana-2377	175	10	to	to	PART
cana-2377	175	11	reconstruct	reconstruct	VERB
cana-2377	175	12	disturbances	disturbance	NOUN
cana-2377	175	13	is	be	AUX
cana-2377	175	14	tested	test	VERB
cana-2377	175	15	.	.	PUNCT
cana-2377	176	1	the	the	DET
cana-2377	176	2	effectiveness	effectiveness	NOUN
cana-2377	176	3	of	of	ADP
cana-2377	176	4	the	the	DET
cana-2377	176	5	nn	nn	PROPN
cana-2377	176	6	models	model	NOUN
cana-2377	176	7	using	use	VERB
cana-2377	176	8	test	test	NOUN
cana-2377	176	9	data	datum	NOUN
cana-2377	176	10	was	be	AUX
cana-2377	176	11	determined	determine	VERB
cana-2377	176	12	by	by	ADP
cana-2377	176	13	the	the	DET
cana-2377	176	14	section	section	NOUN
cana-2377	176	15	,	,	PUNCT
cana-2377	176	16	advanced	advanced	ADJ
cana-2377	176	17	stage	stage	NOUN
cana-2377	176	18	state	state	NOUN
cana-2377	176	19	combinations	combination	NOUN
cana-2377	176	20	are	be	AUX
cana-2377	176	21	used	use	VERB
cana-2377	176	22	as	as	ADP
cana-2377	176	23	inputs	input	NOUN
cana-2377	176	24	,	,	PUNCT
cana-2377	176	25	and	and	CCONJ
cana-2377	176	26	their	their	PRON
cana-2377	176	27	implementations	implementation	NOUN
cana-2377	176	28	to	to	ADP
cana-2377	176	29	state	state	NOUN
cana-2377	176	30	estimation	estimation	NOUN
cana-2377	176	31	under	under	ADP
cana-2377	176	32	various	various	ADJ
cana-2377	176	33	circumstances	circumstance	NOUN
cana-2377	176	34	are	be	AUX
cana-2377	176	35	discussed	discuss	VERB
cana-2377	176	36	[	[	X
cana-2377	176	37	14	14	NUM
cana-2377	176	38	]	]	PUNCT
cana-2377	176	39	.	.	PUNCT
cana-2377	177	1	assessment	assessment	NOUN
cana-2377	177	2	of	of	ADP
cana-2377	177	3	the	the	DET
cana-2377	177	4	neural	neural	ADJ
cana-2377	177	5	network	network	NOUN
cana-2377	177	6	models	model	NOUN
cana-2377	177	7	:	:	PUNCT
cana-2377	177	8	1	1	NUM
cana-2377	177	9	1	1	NUM
cana-2377	177	10	1	1	NUM
cana-2377	177	11	2	2	NUM
cana-2377	177	12	k	k	NOUN
cana-2377	177	13	l	l	NOUN
cana-2377	177	14	m	m	VERB
cana-2377	177	15	output	output	VERB
cana-2377	177	16	hidden	hide	VERB
cana-2377	177	17	layer	layer	NOUN
cana-2377	177	18	input	input	NOUN
cana-2377	177	19	communications	communication	NOUN
cana-2377	177	20	on	on	ADP
cana-2377	177	21	applied	apply	VERB
cana-2377	177	22	nonlinear	nonlinear	ADJ
cana-2377	177	23	analysis	analysis	NOUN
cana-2377	177	24	issn	issn	NOUN
cana-2377	177	25	:	:	PUNCT
cana-2377	177	26	1074	1074	NUM
cana-2377	177	27	-	-	PUNCT
cana-2377	177	28	133x	133x	NUM
cana-2377	177	29	vol	vol	NOUN
cana-2377	177	30	32	32	NUM
cana-2377	177	31	no	no	NOUN
cana-2377	177	32	.	.	NOUN
cana-2377	177	33	3	3	NUM
cana-2377	177	34	(	(	PUNCT
cana-2377	177	35	2025	2025	NUM
cana-2377	177	36	)	)	PUNCT
cana-2377	177	37	634	634	NUM
cana-2377	177	38	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	177	39	figures	figure	VERB
cana-2377	177	40	4.1	4.1	NUM
cana-2377	177	41	and	and	CCONJ
cana-2377	177	42	4.2	4.2	NUM
cana-2377	177	43	.	.	PUNCT
cana-2377	178	1	the	the	DET
cana-2377	178	2	disturbance	disturbance	NOUN
cana-2377	178	3	acceleration	acceleration	NOUN
cana-2377	178	4	term	term	NOUN
cana-2377	178	5	's	's	PART
cana-2377	178	6	estimation	estimation	NOUN
cana-2377	178	7	robustness	robustness	NOUN
cana-2377	178	8	test	test	NOUN
cana-2377	178	9	:	:	PUNCT
cana-2377	178	10	this	this	DET
cana-2377	178	11	approach	approach	NOUN
cana-2377	178	12	evaluated	evaluate	VERB
cana-2377	178	13	the	the	DET
cana-2377	178	14	parameter	parameter	NOUN
cana-2377	178	15	estimation	estimation	NOUN
cana-2377	178	16	reaction	reaction	NOUN
cana-2377	178	17	to	to	ADP
cana-2377	178	18	various	various	ADJ
cana-2377	178	19	load	load	NOUN
cana-2377	178	20	conditions	condition	NOUN
cana-2377	178	21	,	,	PUNCT
cana-2377	178	22	just	just	ADV
cana-2377	178	23	as	as	SCONJ
cana-2377	178	24	the	the	DET
cana-2377	178	25	device	device	NOUN
cana-2377	178	26	was	be	AUX
cana-2377	178	27	evaluated	evaluate	VERB
cana-2377	178	28	using	use	VERB
cana-2377	178	29	various	various	ADJ
cana-2377	178	30	loading	loading	NOUN
cana-2377	178	31	conditions	condition	NOUN
cana-2377	178	32	in	in	ADP
cana-2377	178	33	the	the	DET
cana-2377	178	34	simulation	simulation	NOUN
cana-2377	178	35	.	.	PUNCT
cana-2377	179	1	the	the	DET
cana-2377	179	2	following	follow	VERB
cana-2377	179	3	is	be	AUX
cana-2377	179	4	a	a	DET
cana-2377	179	5	list	list	NOUN
cana-2377	179	6	of	of	ADP
cana-2377	179	7	the	the	DET
cana-2377	179	8	tests	test	NOUN
cana-2377	179	9	:	:	PUNCT
cana-2377	179	10	test	test	NOUN
cana-2377	179	11	1	1	NUM
cana-2377	179	12	:	:	PUNCT
cana-2377	179	13	frequency	frequency	NOUN
cana-2377	179	14	change	change	NOUN
cana-2377	179	15	with	with	ADP
cana-2377	179	16	a	a	DET
cana-2377	179	17	20	20	NUM
cana-2377	179	18	hz	hz	NOUN
cana-2377	179	19	step	step	NOUN
cana-2377	179	20	from	from	ADP
cana-2377	179	21	30	30	NUM
cana-2377	179	22	hz	hz	VERB
cana-2377	179	23	to	to	ADP
cana-2377	179	24	60	60	NUM
cana-2377	179	25	hz	hz	NOUN
cana-2377	179	26	.	.	PROPN
cana-2377	179	27	test	test	PROPN
cana-2377	179	28	2	2	NUM
cana-2377	179	29	:	:	PUNCT
cana-2377	179	30	differing	differ	VERB
cana-2377	179	31	the	the	DET
cana-2377	179	32	load	load	NOUN
cana-2377	179	33	variation	variation	NOUN
cana-2377	179	34	in	in	ADP
cana-2377	179	35	current	current	NOUN
cana-2377	179	36	from	from	ADP
cana-2377	179	37	0.72	0.72	NUM
cana-2377	179	38	a	a	PRON
cana-2377	179	39	to	to	ADP
cana-2377	179	40	2.25	2.25	NUM
cana-2377	179	41	a	a	PRON
cana-2377	179	42	with	with	ADP
cana-2377	179	43	a	a	DET
cana-2377	179	44	0.75	0.75	NUM
cana-2377	179	45	a	a	DET
cana-2377	179	46	phase	phase	NOUN
cana-2377	179	47	at	at	ADP
cana-2377	179	48	a	a	DET
cana-2377	179	49	constant	constant	ADJ
cana-2377	179	50	30	30	NUM
cana-2377	179	51	hz	hz	NOUN
cana-2377	179	52	frequency	frequency	NOUN
cana-2377	179	53	.	.	PUNCT
cana-2377	180	1	in	in	ADP
cana-2377	180	2	assay	assay	ADJ
cana-2377	180	3	methods	method	NOUN
cana-2377	180	4	at	at	ADP
cana-2377	180	5	numerous	numerous	ADJ
cana-2377	180	6	frequencies	frequency	NOUN
cana-2377	180	7	(	(	PUNCT
cana-2377	180	8	30	30	NUM
cana-2377	180	9	hz	hz	ADJ
cana-2377	180	10	,	,	PUNCT
cana-2377	180	11	40	40	NUM
cana-2377	180	12	hz	hz	VERB
cana-2377	180	13	,	,	PUNCT
cana-2377	180	14	50	50	NUM
cana-2377	180	15	hz	hz	NOUN
cana-2377	180	16	,	,	PUNCT
cana-2377	180	17	and	and	CCONJ
cana-2377	180	18	50	50	NUM
cana-2377	180	19	hz	hz	NOUN
cana-2377	180	20	)	)	PUNCT
cana-2377	180	21	and	and	CCONJ
cana-2377	180	22	in	in	ADP
cana-2377	180	23	the	the	DET
cana-2377	180	24	presence	presence	NOUN
cana-2377	180	25	of	of	ADP
cana-2377	180	26	6	6	NUM
cana-2377	180	27	%	%	NOUN
cana-2377	180	28	,	,	PUNCT
cana-2377	180	29	10	10	NUM
cana-2377	180	30	%	%	NOUN
cana-2377	180	31	,	,	PUNCT
cana-2377	180	32	14	14	NUM
cana-2377	180	33	%	%	NOUN
cana-2377	180	34	,	,	PUNCT
cana-2377	180	35	and	and	CCONJ
cana-2377	180	36	18	18	NUM
cana-2377	180	37	%	%	NOUN
cana-2377	180	38	transformer	transformer	NOUN
cana-2377	180	39	inter	inter	ADJ
cana-2377	180	40	-	-	NOUN
cana-2377	180	41	turn	turn	VERB
cana-2377	180	42	fault	fault	NOUN
cana-2377	180	43	in	in	ADP
cana-2377	180	44	phase	phase	NOUN
cana-2377	180	45	a	a	PRON
cana-2377	180	46	,	,	PUNCT
cana-2377	180	47	the	the	DET
cana-2377	180	48	ekf	ekf	NOUN
cana-2377	180	49	demonstrated	demonstrate	VERB
cana-2377	180	50	a	a	DET
cana-2377	180	51	continual	continual	ADJ
cana-2377	180	52	response	response	NOUN
cana-2377	180	53	with	with	ADP
cana-2377	180	54	a	a	DET
cana-2377	180	55	load	load	NOUN
cana-2377	180	56	current	current	NOUN
cana-2377	180	57	of	of	ADP
cana-2377	180	58	0.82	0.82	NUM
cana-2377	180	59	a	a	PRON
cana-2377	180	60	in	in	ADP
cana-2377	180	61	a	a	DET
cana-2377	180	62	good	good	ADJ
cana-2377	180	63	position	position	NOUN
cana-2377	180	64	in	in	ADP
cana-2377	180	65	table	table	NOUN
cana-2377	180	66	1	1	NUM
cana-2377	180	67	.	.	PUNCT
cana-2377	181	1	figure	figure	VERB
cana-2377	181	2	4.3	4.3	NUM
cana-2377	181	3	.	.	PUNCT
cana-2377	182	1	estimation	estimation	NOUN
cana-2377	182	2	of	of	ADP
cana-2377	182	3	12	12	NUM
cana-2377	182	4	-	-	SYM
cana-2377	182	5	16	16	NUM
cana-2377	182	6	%	%	NOUN
cana-2377	182	7	short	short	ADJ
cana-2377	182	8	circuit	circuit	NOUN
cana-2377	182	9	turns	turn	VERB
cana-2377	182	10	ratio	ratio	NOUN
cana-2377	182	11	in	in	ADP
cana-2377	182	12	phase	phase	NOUN
cana-2377	182	13	a	a	DET
cana-2377	182	14	figure	figure	NOUN
cana-2377	182	15	4.4	4.4	NUM
cana-2377	182	16	.	.	PUNCT
cana-2377	183	1	phase	phase	VERB
cana-2377	183	2	a	a	DET
cana-2377	183	3	current	current	NOUN
cana-2377	183	4	with	with	ADP
cana-2377	183	5	n	n	CCONJ
cana-2377	183	6	/	/	SYM
cana-2377	183	7	n	n	NOUN
cana-2377	183	8	=	=	SYM
cana-2377	183	9	16	16	NUM
cana-2377	183	10	…	…	SYM
cana-2377	183	11	%	%	NOUN
cana-2377	183	12	.	.	PUNCT
cana-2377	184	1	this	this	PRON
cana-2377	184	2	highlighted	highlight	VERB
cana-2377	184	3	the	the	DET
cana-2377	184	4	technique	technique	NOUN
cana-2377	184	5	's	's	PART
cana-2377	184	6	robustness	robustness	NOUN
cana-2377	184	7	in	in	ADP
cana-2377	184	8	the	the	DET
cana-2377	184	9	face	face	NOUN
cana-2377	184	10	of	of	ADP
cana-2377	184	11	frequency	frequency	NOUN
cana-2377	184	12	variation	variation	NOUN
cana-2377	184	13	.	.	PUNCT
cana-2377	185	1	additionally	additionally	ADV
cana-2377	185	2	,	,	PUNCT
cana-2377	185	3	the	the	DET
cana-2377	185	4	outcomes	outcome	NOUN
cana-2377	185	5	supported	support	VERB
cana-2377	185	6	those	those	PRON
cana-2377	185	7	of	of	ADP
cana-2377	185	8	the	the	DET
cana-2377	185	9	simulation	simulation	NOUN
cana-2377	185	10	for	for	ADP
cana-2377	185	11	the	the	DET
cana-2377	185	12	same	same	ADJ
cana-2377	185	13	machine	machine	NOUN
cana-2377	185	14	under	under	ADP
cana-2377	185	15	the	the	DET
cana-2377	185	16	same	same	ADJ
cana-2377	185	17	operation	operation	NOUN
cana-2377	185	18	and	and	CCONJ
cana-2377	185	19	maintenance	maintenance	NOUN
cana-2377	185	20	and	and	CCONJ
cana-2377	185	21	fault	fault	VERB
cana-2377	185	22	circumstances	circumstance	NOUN
cana-2377	185	23	.	.	PUNCT
cana-2377	186	1	communications	communication	NOUN
cana-2377	186	2	on	on	ADP
cana-2377	186	3	applied	apply	VERB
cana-2377	186	4	nonlinear	nonlinear	ADJ
cana-2377	186	5	analysis	analysis	NOUN
cana-2377	186	6	issn	issn	NOUN
cana-2377	186	7	:	:	PUNCT
cana-2377	186	8	1074	1074	NUM
cana-2377	186	9	-	-	PUNCT
cana-2377	186	10	133x	133x	NUM
cana-2377	186	11	vol	vol	NOUN
cana-2377	186	12	32	32	NUM
cana-2377	186	13	no	no	NOUN
cana-2377	186	14	.	.	NOUN
cana-2377	186	15	3	3	NUM
cana-2377	186	16	(	(	PUNCT
cana-2377	186	17	2025	2025	NUM
cana-2377	186	18	)	)	PUNCT
cana-2377	186	19	635	635	NUM
cana-2377	186	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	186	21	table	table	NOUN
cana-2377	186	22	1	1	NUM
cana-2377	186	23	.	.	NOUN
cana-2377	186	24	phase	phase	NOUN
cana-2377	186	25	a	a	DET
cana-2377	186	26	ekf	ekf	NOUN
cana-2377	186	27	valuation	valuation	NOUN
cana-2377	186	28	reaction	reaction	NOUN
cana-2377	186	29	at	at	ADP
cana-2377	186	30	constant	constant	ADJ
cana-2377	186	31	load	load	NOUN
cana-2377	186	32	current	current	ADJ
cana-2377	186	33	and	and	CCONJ
cana-2377	186	34	various	various	ADJ
cana-2377	186	35	frequencies	frequency	NOUN
cana-2377	186	36	event	event	NOUN
cana-2377	187	1	occurrence	occurrence	NOUN
cana-2377	187	2	exact	exact	ADJ
cana-2377	187	3	replication	replication	NOUN
cana-2377	187	4	applied	apply	VERB
cana-2377	187	5	%	%	NOUN
cana-2377	188	1	%	%	INTJ
cana-2377	188	2	%	%	NOUN
cana-2377	188	3	1	1	NUM
cana-2377	188	4	.	.	NOUN
cana-2377	188	5	30	30	NUM
cana-2377	188	6	4	4	NUM
cana-2377	188	7	%	%	NOUN
cana-2377	188	8	2.16	2.16	NUM
cana-2377	188	9	1.95	1.95	NUM
cana-2377	188	10	2	2	NUM
cana-2377	188	11	.	.	NUM
cana-2377	188	12	30	30	NUM
cana-2377	188	13	6	6	NUM
cana-2377	188	14	%	%	NOUN
cana-2377	188	15	4.4	4.4	NUM
cana-2377	188	16	4.62	4.62	NUM
cana-2377	188	17	3	3	NUM
cana-2377	188	18	.	.	NOUN
cana-2377	188	19	30	30	NUM
cana-2377	188	20	8	8	NUM
cana-2377	188	21	%	%	NOUN
cana-2377	188	22	8.4	8.4	NUM
cana-2377	188	23	7.52	7.52	NUM
cana-2377	188	24	4	4	NUM
cana-2377	188	25	.	.	NOUN
cana-2377	188	26	30	30	NUM
cana-2377	188	27	10	10	NUM
cana-2377	188	28	%	%	NOUN
cana-2377	188	29	11.3	11.3	NUM
cana-2377	188	30	9.77	9.77	NUM
cana-2377	188	31	5	5	NUM
cana-2377	188	32	.	.	SYM
cana-2377	188	33	30	30	NUM
cana-2377	188	34	12	12	NUM
cana-2377	188	35	%	%	NOUN
cana-2377	188	36	13.22	13.22	NUM
cana-2377	188	37	13.1	13.1	NUM
cana-2377	188	38	6	6	NUM
cana-2377	188	39	.	.	SYM
cana-2377	188	40	30	30	NUM
cana-2377	188	41	2	2	NUM
cana-2377	188	42	%	%	NOUN
cana-2377	188	43	16.9	16.9	NUM
cana-2377	188	44	17.5	17.5	NUM
cana-2377	188	45	7	7	NUM
cana-2377	188	46	.	.	NUM
cana-2377	188	47	40	40	NUM
cana-2377	188	48	4	4	NUM
cana-2377	188	49	%	%	NOUN
cana-2377	188	50	2.16	2.16	NUM
cana-2377	188	51	2.97	2.97	NUM
cana-2377	188	52	8	8	NUM
cana-2377	188	53	.	.	PUNCT
cana-2377	189	1	40	40	NUM
cana-2377	189	2	6	6	NUM
cana-2377	189	3	%	%	NOUN
cana-2377	189	4	4.4	4.4	NUM
cana-2377	189	5	4.8	4.8	NUM
cana-2377	189	6	9	9	NUM
cana-2377	189	7	.	.	PUNCT
cana-2377	189	8	40	40	NUM
cana-2377	189	9	8	8	NUM
cana-2377	189	10	%	%	NOUN
cana-2377	189	11	8.4	8.4	NUM
cana-2377	189	12	8.85	8.85	NUM
cana-2377	189	13	10	10	NUM
cana-2377	189	14	.	.	PUNCT
cana-2377	190	1	40	40	NUM
cana-2377	190	2	10	10	NUM
cana-2377	190	3	%	%	NOUN
cana-2377	190	4	11.3	11.3	NUM
cana-2377	190	5	10.81	10.81	NUM
cana-2377	190	6	11	11	NUM
cana-2377	190	7	.	.	PUNCT
cana-2377	191	1	40	40	NUM
cana-2377	191	2	12	12	NUM
cana-2377	191	3	%	%	NOUN
cana-2377	191	4	12.24	12.24	NUM
cana-2377	191	5	12.8	12.8	NUM
cana-2377	191	6	12	12	NUM
cana-2377	191	7	.	.	PUNCT
cana-2377	192	1	40	40	NUM
cana-2377	192	2	14	14	NUM
cana-2377	192	3	%	%	NOUN
cana-2377	192	4	15.8	15.8	NUM
cana-2377	192	5	17.1	17.1	NUM
cana-2377	192	6	13	13	NUM
cana-2377	192	7	.	.	PUNCT
cana-2377	193	1	60	60	NUM
cana-2377	193	2	16	16	NUM
cana-2377	193	3	%	%	NOUN
cana-2377	193	4	2.3	2.3	NUM
cana-2377	193	5	2.97	2.97	NUM
cana-2377	193	6	14	14	NUM
cana-2377	193	7	.	.	PUNCT
cana-2377	194	1	60	60	NUM
cana-2377	194	2	2	2	NUM
cana-2377	194	3	%	%	NOUN
cana-2377	194	4	4.4	4.4	NUM
cana-2377	194	5	4.7	4.7	NUM
cana-2377	194	6	15	15	NUM
cana-2377	194	7	.	.	PUNCT
cana-2377	195	1	60	60	NUM
cana-2377	195	2	4	4	NUM
cana-2377	195	3	%	%	NOUN
cana-2377	195	4	8.6	8.6	NUM
cana-2377	195	5	8.53	8.53	NUM
cana-2377	195	6	16	16	NUM
cana-2377	195	7	.	.	PUNCT
cana-2377	196	1	60	60	NUM
cana-2377	196	2	6	6	NUM
cana-2377	196	3	%	%	NOUN
cana-2377	196	4	10.3	10.3	NUM
cana-2377	196	5	10.9	10.9	NUM
cana-2377	196	6	17	17	NUM
cana-2377	196	7	.	.	PUNCT
cana-2377	197	1	60	60	NUM
cana-2377	197	2	8	8	NUM
cana-2377	197	3	%	%	NOUN
cana-2377	197	4	12.4	12.4	NUM
cana-2377	197	5	13.3	13.3	NUM
cana-2377	197	6	18	18	NUM
cana-2377	197	7	.	.	PUNCT
cana-2377	198	1	60	60	NUM
cana-2377	198	2	10	10	NUM
cana-2377	198	3	%	%	NOUN
cana-2377	198	4	2.3	2.3	NUM
cana-2377	198	5	2.2	2.2	NUM
cana-2377	198	6	19	19	NUM
cana-2377	198	7	.	.	PUNCT
cana-2377	199	1	60	60	NUM
cana-2377	199	2	12	12	NUM
cana-2377	199	3	%	%	NOUN
cana-2377	199	4	4.3	4.3	NUM
cana-2377	199	5	5.1	5.1	NUM
cana-2377	199	6	20	20	NUM
cana-2377	199	7	.	.	PUNCT
cana-2377	200	1	60	60	NUM
cana-2377	200	2	6	6	NUM
cana-2377	200	3	%	%	NOUN
cana-2377	200	4	11.2	11.2	NUM
cana-2377	200	5	8.94	8.94	NUM
cana-2377	200	6	additionally	additionally	ADV
cana-2377	200	7	,	,	PUNCT
cana-2377	200	8	the	the	DET
cana-2377	200	9	prediction	prediction	NOUN
cana-2377	200	10	response	response	NOUN
cana-2377	200	11	was	be	AUX
cana-2377	200	12	examined	examine	VERB
cana-2377	200	13	under	under	ADP
cana-2377	200	14	different	different	ADJ
cana-2377	200	15	current	current	ADJ
cana-2377	200	16	conditions	condition	NOUN
cana-2377	200	17	(	(	PUNCT
cana-2377	200	18	1.6	1.6	NUM
cana-2377	200	19	a	a	PRON
cana-2377	200	20	and	and	CCONJ
cana-2377	200	21	2.35	2.35	NUM
cana-2377	200	22	a	a	PRON
cana-2377	200	23	)	)	PUNCT
cana-2377	200	24	and	and	CCONJ
cana-2377	200	25	at	at	ADP
cana-2377	200	26	a	a	DET
cana-2377	200	27	continual	continual	ADJ
cana-2377	200	28	frequency	frequency	NOUN
cana-2377	200	29	of	of	ADP
cana-2377	200	30	40	40	NUM
cana-2377	200	31	hz	hz	NOUN
cana-2377	200	32	.	.	PUNCT
cana-2377	201	1	the	the	DET
cana-2377	201	2	ekf	ekf	NOUN
cana-2377	201	3	method	method	NOUN
cana-2377	201	4	once	once	ADV
cana-2377	201	5	more	more	ADV
cana-2377	201	6	demonstrated	demonstrate	VERB
cana-2377	201	7	an	an	DET
cana-2377	201	8	accurate	accurate	ADJ
cana-2377	201	9	estimate	estimate	NOUN
cana-2377	201	10	of	of	ADP
cana-2377	201	11	load	load	NOUN
cana-2377	201	12	current	current	ADJ
cana-2377	201	13	variation	variation	NOUN
cana-2377	201	14	at	at	ADP
cana-2377	201	15	a	a	DET
cana-2377	201	16	given	give	VERB
cana-2377	201	17	frequency	frequency	NOUN
cana-2377	201	18	in	in	ADP
cana-2377	201	19	table	table	NOUN
cana-2377	201	20	2	2	NUM
cana-2377	201	21	.	.	X
cana-2377	201	22	for	for	ADP
cana-2377	201	23	safety	safety	NOUN
cana-2377	201	24	purposes	purpose	NOUN
cana-2377	201	25	,	,	PUNCT
cana-2377	201	26	it	it	PRON
cana-2377	201	27	was	be	AUX
cana-2377	201	28	unable	unable	ADJ
cana-2377	201	29	to	to	PART
cana-2377	201	30	imitate	imitate	VERB
cana-2377	201	31	more	more	ADJ
cana-2377	201	32	than	than	ADP
cana-2377	201	33	14	14	NUM
cana-2377	201	34	%	%	NOUN
cana-2377	201	35	of	of	ADP
cana-2377	201	36	low	low	ADJ
cana-2377	201	37	voltage	voltage	NOUN
cana-2377	201	38	inter	inter	NOUN
cana-2377	201	39	turns	turn	VERB
cana-2377	201	40	faults	fault	NOUN
cana-2377	201	41	because	because	SCONJ
cana-2377	201	42	the	the	DET
cana-2377	201	43	current	current	NOUN
cana-2377	201	44	in	in	ADP
cana-2377	201	45	the	the	DET
cana-2377	201	46	faulty	faulty	ADJ
cana-2377	201	47	state	state	NOUN
cana-2377	201	48	exceeded	exceed	VERB
cana-2377	201	49	6	6	NUM
cana-2377	201	50	a	a	PRON
cana-2377	201	51	;	;	PUNCT
cana-2377	201	52	6	6	NUM
cana-2377	202	1	a	a	PRON
cana-2377	202	2	becoming	become	VERB
cana-2377	202	3	the	the	DET
cana-2377	202	4	ultimate	ultimate	ADJ
cana-2377	202	5	load	load	NOUN
cana-2377	202	6	latest	late	ADJ
cana-2377	202	7	iteration	iteration	NOUN
cana-2377	202	8	for	for	ADP
cana-2377	202	9	this	this	DET
cana-2377	202	10	device	device	NOUN
cana-2377	202	11	[	[	X
cana-2377	202	12	16	16	NUM
cana-2377	202	13	]	]	PUNCT
cana-2377	202	14	.	.	PUNCT
cana-2377	203	1	table	table	NOUN
cana-2377	203	2	2	2	NUM
cana-2377	203	3	.	.	PUNCT
cana-2377	203	4	response	response	NOUN
cana-2377	203	5	to	to	PART
cana-2377	203	6	ekf	ekf	VERB
cana-2377	203	7	estimation	estimation	NOUN
cana-2377	203	8	with	with	ADP
cana-2377	203	9	various	various	ADJ
cana-2377	203	10	loading	loading	NOUN
cana-2377	203	11	currents	current	NOUN
cana-2377	203	12	in	in	ADP
cana-2377	203	13	phase	phase	NOUN
cana-2377	203	14	a	a	PRON
cana-2377	203	15	at	at	ADP
cana-2377	203	16	a	a	DET
cana-2377	203	17	given	give	VERB
cana-2377	203	18	frequency	frequency	NOUN
cana-2377	203	19	event	event	NOUN
cana-2377	203	20	occurrence	occurrence	NOUN
cana-2377	203	21	exact	exact	ADJ
cana-2377	203	22	replication	replication	NOUN
cana-2377	203	23	applied	apply	VERB
cana-2377	203	24	(	(	PUNCT
cana-2377	203	25	%	%	NOUN
cana-2377	203	26	)	)	PUNCT
cana-2377	203	27	(	(	PUNCT
cana-2377	203	28	%	%	INTJ
cana-2377	203	29	)	)	PUNCT
cana-2377	203	30	(	(	PUNCT
cana-2377	203	31	%	%	INTJ
cana-2377	203	32	)	)	PUNCT
cana-2377	203	33	1	1	NUM
cana-2377	203	34	.	.	NOUN
cana-2377	204	1	0.82	0.82	NUM
cana-2377	204	2	4	4	NUM
cana-2377	204	3	%	%	NOUN
cana-2377	204	4	2.16	2.16	NUM
cana-2377	204	5	1.98	1.98	NUM
cana-2377	204	6	2	2	NUM
cana-2377	204	7	.	.	PUNCT
cana-2377	204	8	0.82	0.82	NUM
cana-2377	204	9	6	6	NUM
cana-2377	204	10	%	%	NOUN
cana-2377	204	11	4.4	4.4	NUM
cana-2377	204	12	3.9	3.9	NUM
cana-2377	204	13	3	3	NUM
cana-2377	204	14	.	.	PUNCT
cana-2377	204	15	0.82	0.82	NUM
cana-2377	204	16	8	8	NUM
cana-2377	204	17	%	%	NOUN
cana-2377	204	18	8.4	8.4	NUM
cana-2377	204	19	7.86	7.86	NUM
cana-2377	204	20	4	4	NUM
cana-2377	204	21	.	.	PUNCT
cana-2377	204	22	0.82	0.82	NUM
cana-2377	204	23	10	10	NUM
cana-2377	204	24	%	%	NOUN
cana-2377	204	25	11.3	11.3	NUM
cana-2377	204	26	10.81	10.81	NUM
cana-2377	204	27	5	5	NUM
cana-2377	204	28	.	.	PUNCT
cana-2377	204	29	0.82	0.82	NUM
cana-2377	204	30	12	12	NUM
cana-2377	204	31	%	%	NOUN
cana-2377	204	32	13.22	13.22	NUM
cana-2377	204	33	12.8	12.8	NUM
cana-2377	204	34	6	6	NUM
cana-2377	204	35	.	.	PUNCT
cana-2377	205	1	0.82	0.82	NUM
cana-2377	205	2	4	4	NUM
cana-2377	205	3	%	%	NOUN
cana-2377	205	4	16.9	16.9	NUM
cana-2377	205	5	17.1	17.1	NUM
cana-2377	205	6	7	7	NUM
cana-2377	205	7	.	.	NOUN
cana-2377	205	8	1.6	1.6	NUM
cana-2377	205	9	6	6	NUM
cana-2377	205	10	%	%	NOUN
cana-2377	205	11	2.16	2.16	NUM
cana-2377	205	12	3	3	NUM
cana-2377	205	13	8	8	NUM
cana-2377	205	14	.	.	NOUN
cana-2377	205	15	1.6	1.6	NUM
cana-2377	205	16	8	8	NUM
cana-2377	205	17	%	%	NOUN
cana-2377	205	18	5.3	5.3	NUM
cana-2377	205	19	4.9	4.9	NUM
cana-2377	205	20	communications	communication	NOUN
cana-2377	205	21	on	on	ADP
cana-2377	205	22	applied	apply	VERB
cana-2377	205	23	nonlinear	nonlinear	ADJ
cana-2377	205	24	analysis	analysis	NOUN
cana-2377	205	25	issn	issn	NOUN
cana-2377	205	26	:	:	PUNCT
cana-2377	205	27	1074	1074	NUM
cana-2377	205	28	-	-	PUNCT
cana-2377	205	29	133x	133x	NUM
cana-2377	205	30	vol	vol	NOUN
cana-2377	205	31	32	32	NUM
cana-2377	205	32	no	no	NOUN
cana-2377	205	33	.	.	NOUN
cana-2377	205	34	3	3	NUM
cana-2377	205	35	(	(	PUNCT
cana-2377	205	36	2025	2025	NUM
cana-2377	205	37	)	)	PUNCT
cana-2377	205	38	636	636	NUM
cana-2377	205	39	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	205	40	9	9	NUM
cana-2377	205	41	.	.	NOUN
cana-2377	205	42	1.6	1.6	NUM
cana-2377	205	43	10	10	NUM
cana-2377	205	44	%	%	NOUN
cana-2377	205	45	8.4	8.4	NUM
cana-2377	205	46	8.3	8.3	NUM
cana-2377	205	47	10	10	NUM
cana-2377	205	48	1.6	1.6	NUM
cana-2377	205	49	12	12	NUM
cana-2377	205	50	%	%	NOUN
cana-2377	205	51	11.3	11.3	NUM
cana-2377	205	52	10.9	10.9	NUM
cana-2377	205	53	11	11	NUM
cana-2377	205	54	.	.	PUNCT
cana-2377	206	1	1.6	1.6	NUM
cana-2377	206	2	14	14	NUM
cana-2377	206	3	%	%	NOUN
cana-2377	206	4	13.22	13.22	NUM
cana-2377	206	5	12.2	12.2	NUM
cana-2377	206	6	12	12	NUM
cana-2377	206	7	.	.	PUNCT
cana-2377	207	1	2.35	2.35	NUM
cana-2377	207	2	2	2	NUM
cana-2377	207	3	%	%	NOUN
cana-2377	207	4	2.3	2.3	NUM
cana-2377	207	5	2.97	2.97	NUM
cana-2377	207	6	13	13	NUM
cana-2377	207	7	.	.	PUNCT
cana-2377	207	8	2.35	2.35	NUM
cana-2377	207	9	4	4	NUM
cana-2377	207	10	%	%	NOUN
cana-2377	207	11	4.4	4.4	NUM
cana-2377	207	12	4.85	4.85	NUM
cana-2377	207	13	14	14	NUM
cana-2377	207	14	.	.	PUNCT
cana-2377	208	1	2.35	2.35	NUM
cana-2377	208	2	6	6	NUM
cana-2377	208	3	%	%	NOUN
cana-2377	208	4	9.5	9.5	NUM
cana-2377	208	5	8.9	8.9	NUM
cana-2377	208	6	15	15	NUM
cana-2377	208	7	.	.	PUNCT
cana-2377	209	1	2.35	2.35	NUM
cana-2377	209	2	8	8	NUM
cana-2377	209	3	%	%	NOUN
cana-2377	209	4	11.2	11.2	NUM
cana-2377	209	5	10.5	10.5	NUM
cana-2377	209	6	16	16	NUM
cana-2377	209	7	.	.	PUNCT
cana-2377	210	1	2.35	2.35	NUM
cana-2377	210	2	10	10	NUM
cana-2377	210	3	%	%	NOUN
cana-2377	210	4	13.3	13.3	NUM
cana-2377	210	5	13	13	NUM
cana-2377	210	6	figure	figure	NOUN
cana-2377	210	7	4.4	4.4	NUM
cana-2377	210	8	displays	display	VERB
cana-2377	210	9	the	the	DET
cana-2377	210	10	optimized	optimize	VERB
cana-2377	210	11	extended	extend	VERB
cana-2377	210	12	kalman	kalman	NOUN
cana-2377	210	13	filter	filter	NOUN
cana-2377	210	14	identification	identification	NOUN
cana-2377	210	15	results	result	NOUN
cana-2377	210	16	show	show	VERB
cana-2377	210	17	that	that	SCONJ
cana-2377	210	18	the	the	DET
cana-2377	210	19	suggested	suggest	VERB
cana-2377	210	20	procedure	procedure	NOUN
cana-2377	210	21	has	have	VERB
cana-2377	210	22	a	a	DET
cana-2377	210	23	greater	great	ADJ
cana-2377	210	24	identifier	identifier	NOUN
cana-2377	210	25	precision	precision	NOUN
cana-2377	210	26	and	and	CCONJ
cana-2377	210	27	a	a	DET
cana-2377	210	28	lower	low	ADJ
cana-2377	210	29	recognition	recognition	NOUN
cana-2377	210	30	normal	normal	ADJ
cana-2377	210	31	deviance	deviance	NOUN
cana-2377	210	32	compared	compare	VERB
cana-2377	210	33	to	to	ADP
cana-2377	210	34	the	the	DET
cana-2377	210	35	conventional	conventional	ADJ
cana-2377	210	36	ekf	ekf	PROPN
cana-2377	210	37	outcome	outcome	NOUN
cana-2377	210	38	shown	show	VERB
cana-2377	210	39	in	in	ADP
cana-2377	210	40	figure	figure	NOUN
cana-2377	210	41	4.3	4.3	NUM
cana-2377	210	42	.	.	PUNCT
cana-2377	211	1	figure	figure	VERB
cana-2377	211	2	4.5	4.5	NUM
cana-2377	211	3	.	.	PUNCT
cana-2377	212	1	results	result	NOUN
cana-2377	212	2	of	of	ADP
cana-2377	212	3	an	an	DET
cana-2377	212	4	enhanced	enhance	VERB
cana-2377	212	5	extended	extend	VERB
cana-2377	212	6	kalman	kalman	NOUN
cana-2377	212	7	filter	filter	NOUN
cana-2377	212	8	for	for	ADP
cana-2377	212	9	identification	identification	NOUN
cana-2377	212	10	figure	figure	NOUN
cana-2377	212	11	4.6	4.6	NUM
cana-2377	212	12	.	.	PUNCT
cana-2377	213	1	values	value	NOUN
cana-2377	213	2	of	of	ADP
cana-2377	213	3	neural	neural	ADJ
cana-2377	213	4	network	network	NOUN
cana-2377	213	5	output	output	NOUN
cana-2377	213	6	in	in	ADP
cana-2377	213	7	above	above	ADP
cana-2377	213	8	figure	figure	VERB
cana-2377	213	9	4.5	4.5	NUM
cana-2377	213	10	shows	show	VERB
cana-2377	213	11	that	that	SCONJ
cana-2377	213	12	the	the	DET
cana-2377	213	13	output	output	NOUN
cana-2377	213	14	only	only	ADV
cana-2377	213	15	exhibits	exhibit	VERB
cana-2377	213	16	minor	minor	ADJ
cana-2377	213	17	variations	variation	NOUN
cana-2377	213	18	of	of	ADP
cana-2377	213	19	0.001	0.001	NUM
cana-2377	213	20	seconds	second	NOUN
cana-2377	213	21	or	or	CCONJ
cana-2377	213	22	less	less	ADJ
cana-2377	213	23	.	.	PUNCT
cana-2377	214	1	the	the	DET
cana-2377	214	2	network	network	NOUN
cana-2377	214	3	has	have	VERB
cana-2377	214	4	good	good	ADJ
cana-2377	214	5	generalization	generalization	NOUN
cana-2377	214	6	capabilities	capability	NOUN
cana-2377	214	7	and	and	CCONJ
cana-2377	214	8	does	do	VERB
cana-2377	214	9	a	a	DET
cana-2377	214	10	good	good	ADJ
cana-2377	214	11	job	job	NOUN
cana-2377	214	12	of	of	ADP
cana-2377	214	13	identifying	identify	VERB
cana-2377	214	14	the	the	DET
cana-2377	214	15	two	two	NUM
cana-2377	214	16	errors	error	NOUN
cana-2377	214	17	and	and	CCONJ
cana-2377	214	18	figure	figure	VERB
cana-2377	214	19	4.7	4.7	NUM
cana-2377	214	20	proposed	propose	VERB
cana-2377	214	21	diagram	diagram	NOUN
cana-2377	214	22	of	of	ADP
cana-2377	214	23	extended	extended	ADJ
cana-2377	214	24	kalman	kalman	NOUN
cana-2377	214	25	filter	filter	NOUN
cana-2377	214	26	based	base	VERB
cana-2377	214	27	neural	neural	ADJ
cana-2377	214	28	networks	network	NOUN
cana-2377	214	29	.	.	PUNCT
cana-2377	215	1	figure	figure	VERB
cana-2377	215	2	4.7	4.7	NUM
cana-2377	215	3	.	.	PUNCT
cana-2377	215	4	proposed	propose	VERB
cana-2377	215	5	diagram	diagram	NOUN
cana-2377	215	6	of	of	ADP
cana-2377	215	7	ekf	ekf	PROPN
cana-2377	215	8	-	-	PUNCT
cana-2377	215	9	based	base	VERB
cana-2377	215	10	neural	neural	ADJ
cana-2377	215	11	networks	network	NOUN
cana-2377	215	12	conclusion	conclusion	VERB
cana-2377	215	13	this	this	DET
cana-2377	215	14	paper	paper	NOUN
cana-2377	215	15	shows	show	VERB
cana-2377	215	16	how	how	SCONJ
cana-2377	215	17	to	to	PART
cana-2377	215	18	train	train	VERB
cana-2377	215	19	a	a	DET
cana-2377	215	20	neural	neural	ADJ
cana-2377	215	21	network	network	NOUN
cana-2377	215	22	using	use	VERB
cana-2377	215	23	kalman	kalman	PROPN
cana-2377	215	24	filter	filter	NOUN
cana-2377	215	25	variations	variation	NOUN
cana-2377	215	26	.	.	PUNCT
cana-2377	216	1	kalman	kalman	NOUN
cana-2377	216	2	filters	filter	NOUN
cana-2377	216	3	estimate	estimate	VERB
cana-2377	216	4	a	a	DET
cana-2377	216	5	neural	neural	ADJ
cana-2377	216	6	network	network	NOUN
cana-2377	216	7	's	's	PART
cana-2377	216	8	weights	weight	NOUN
cana-2377	216	9	by	by	ADP
cana-2377	216	10	treating	treat	VERB
cana-2377	216	11	the	the	DET
cana-2377	216	12	weights	weight	NOUN
cana-2377	216	13	as	as	ADP
cana-2377	216	14	a	a	DET
cana-2377	216	15	dynamic	dynamic	ADJ
cana-2377	216	16	and	and	CCONJ
cana-2377	216	17	upgradable	upgradable	ADJ
cana-2377	216	18	system	system	NOUN
cana-2377	216	19	.	.	PUNCT
cana-2377	217	1	the	the	DET
cana-2377	217	2	extended	extended	ADJ
cana-2377	217	3	kalman	kalman	NOUN
cana-2377	217	4	filter	filter	PROPN
cana-2377	217	5	(	(	PUNCT
cana-2377	217	6	ekf	ekf	PROPN
cana-2377	217	7	)	)	PUNCT
cana-2377	217	8	is	be	AUX
cana-2377	217	9	a	a	DET
cana-2377	217	10	method	method	NOUN
cana-2377	217	11	that	that	SCONJ
cana-2377	217	12	many	many	ADJ
cana-2377	217	13	authors	author	NOUN
cana-2377	217	14	have	have	AUX
cana-2377	217	15	used	use	VERB
cana-2377	217	16	to	to	PART
cana-2377	217	17	train	train	VERB
cana-2377	217	18	neural	neural	ADJ
cana-2377	217	19	networks	network	NOUN
cana-2377	217	20	(	(	PUNCT
cana-2377	217	21	nn	nn	NOUN
cana-2377	217	22	)	)	PUNCT
cana-2377	217	23	over	over	ADP
cana-2377	217	24	the	the	DET
cana-2377	217	25	years	year	NOUN
cana-2377	217	26	.	.	PUNCT
cana-2377	218	1	as	as	ADP
cana-2377	218	2	a	a	DET
cana-2377	218	3	result	result	NOUN
cana-2377	218	4	,	,	PUNCT
cana-2377	218	5	numerous	numerous	ADJ
cana-2377	218	6	authors	author	NOUN
cana-2377	218	7	have	have	AUX
cana-2377	218	8	shown	show	VERB
cana-2377	218	9	that	that	SCONJ
cana-2377	218	10	the	the	DET
cana-2377	218	11	kalman	kalman	PROPN
cana-2377	218	12	filter	filter	NOUN
cana-2377	218	13	variant	variant	NOUN
cana-2377	218	14	is	be	AUX
cana-2377	218	15	ekf	ekf	NOUN
cana-2377	218	16	procedure	procedure	NOUN
cana-2377	218	17	of	of	ADP
cana-2377	218	18	state	state	NOUN
cana-2377	218	19	computation	computation	NOUN
cana-2377	218	20	clarifying	clarify	VERB
cana-2377	218	21	update	update	NOUN
cana-2377	218	22	procedure	procedure	NOUN
cana-2377	218	23	of	of	ADP
cana-2377	218	24	calculating	calculate	VERB
cana-2377	218	25	variance	variance	NOUN
cana-2377	218	26	phase	phase	NOUN
cana-2377	218	27	update	update	NOUN
cana-2377	218	28	kalman	kalman	NOUN
cana-2377	218	29	expansion	expansion	NOUN
cana-2377	218	30	conditions	condition	NOUN
cana-2377	218	31	update	update	NOUN
cana-2377	218	32	update	update	NOUN
cana-2377	218	33	on	on	ADP
cana-2377	218	34	statement	statement	NOUN
cana-2377	218	35	projections	projection	NOUN
cana-2377	218	36	communications	communication	NOUN
cana-2377	218	37	on	on	ADP
cana-2377	218	38	applied	apply	VERB
cana-2377	218	39	nonlinear	nonlinear	ADJ
cana-2377	218	40	analysis	analysis	NOUN
cana-2377	218	41	issn	issn	NOUN
cana-2377	218	42	:	:	PUNCT
cana-2377	218	43	1074	1074	NUM
cana-2377	218	44	-	-	PUNCT
cana-2377	218	45	133x	133x	NUM
cana-2377	218	46	vol	vol	NOUN
cana-2377	218	47	32	32	NUM
cana-2377	219	1	no	no	NOUN
cana-2377	219	2	.	.	NOUN
cana-2377	219	3	3	3	NUM
cana-2377	219	4	(	(	PUNCT
cana-2377	219	5	2025	2025	NUM
cana-2377	219	6	)	)	PUNCT
cana-2377	220	1	637	637	NUM
cana-2377	220	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2377	220	3	superior	superior	ADJ
cana-2377	220	4	to	to	ADP
cana-2377	220	5	the	the	DET
cana-2377	220	6	ekf	ekf	NOUN
cana-2377	220	7	in	in	ADP
cana-2377	220	8	terms	term	NOUN
cana-2377	220	9	of	of	ADP
cana-2377	220	10	convergence	convergence	NOUN
cana-2377	220	11	,	,	PUNCT
cana-2377	220	12	speed	speed	NOUN
cana-2377	220	13	,	,	PUNCT
cana-2377	220	14	and	and	CCONJ
cana-2377	220	15	accuracy	accuracy	NOUN
cana-2377	220	16	.	.	PUNCT
cana-2377	221	1	due	due	ADP
cana-2377	221	2	to	to	ADP
cana-2377	221	3	its	its	PRON
cana-2377	221	4	linear	linear	ADJ
cana-2377	221	5	reprocessing	reprocess	VERB
cana-2377	221	6	methods	method	NOUN
cana-2377	221	7	,	,	PUNCT
cana-2377	221	8	training	training	NOUN
cana-2377	221	9	with	with	ADP
cana-2377	221	10	this	this	DET
cana-2377	221	11	algorithm	algorithm	NOUN
cana-2377	221	12	tends	tend	VERB
cana-2377	221	13	to	to	PART
cana-2377	221	14	become	become	VERB
cana-2377	221	15	more	more	ADV
cana-2377	221	16	precise	precise	ADJ
cana-2377	221	17	than	than	ADP
cana-2377	221	18	training	train	VERB
cana-2377	221	19	with	with	ADP
cana-2377	221	20	ekf	ekf	PROPN
cana-2377	221	21	.	.	PUNCT
cana-2377	222	1	the	the	DET
cana-2377	222	2	results	result	NOUN
cana-2377	222	3	of	of	ADP
cana-2377	222	4	this	this	DET
cana-2377	222	5	study	study	NOUN
cana-2377	222	6	confirm	confirm	VERB
cana-2377	222	7	the	the	DET
cana-2377	222	8	effectiveness	effectiveness	NOUN
cana-2377	222	9	and	and	CCONJ
cana-2377	222	10	precision	precision	NOUN
cana-2377	222	11	of	of	ADP
cana-2377	222	12	the	the	DET
cana-2377	222	13	kalman	kalman	PROPN
cana-2377	222	14	filter	filter	NOUN
cana-2377	222	15	variants	variant	NOUN
cana-2377	222	16	described	describe	VERB
cana-2377	222	17	by	by	ADP
cana-2377	222	18	other	other	ADJ
cana-2377	222	19	authors	author	NOUN
cana-2377	222	20	,	,	PUNCT
cana-2377	222	21	with	with	ADP
cana-2377	222	22	their	their	PRON
cana-2377	222	23	superior	superior	ADJ
cana-2377	222	24	performance	performance	NOUN
cana-2377	222	25	in	in	ADP
cana-2377	222	26	nonlinear	nonlinear	ADJ
cana-2377	222	27	systems	system	NOUN
cana-2377	222	28	when	when	SCONJ
cana-2377	222	29	compared	compare	VERB
cana-2377	222	30	to	to	ADP
cana-2377	222	31	traditional	traditional	ADJ
cana-2377	222	32	approaches	approach	NOUN
cana-2377	222	33	.	.	PUNCT
cana-2377	223	1	references	reference	NOUN
cana-2377	223	2	[	[	X
cana-2377	223	3	1	1	NUM
cana-2377	223	4	]	]	X
cana-2377	223	5	patton	patton	PROPN
cana-2377	223	6	,	,	PUNCT
cana-2377	223	7	r.	r.	PROPN
cana-2377	223	8	,	,	PUNCT
cana-2377	223	9	&	&	CCONJ
cana-2377	223	10	chen	chen	PROPN
cana-2377	223	11	,	,	PUNCT
cana-2377	223	12	j.	j.	PROPN
cana-2377	223	13	(	(	PUNCT
cana-2377	223	14	1995	1995	NUM
cana-2377	223	15	,	,	PUNCT
cana-2377	223	16	august	august	PROPN
cana-2377	223	17	)	)	PUNCT
cana-2377	223	18	.	.	PUNCT
cana-2377	224	1	neural	neural	ADJ
cana-2377	224	2	networks	network	NOUN
cana-2377	224	3	based	base	VERB
cana-2377	224	4	fault	fault	NOUN
cana-2377	224	5	diagnosis	diagnosis	NOUN
cana-2377	224	6	for	for	ADP
cana-2377	224	7	nonlinear	nonlinear	ADJ
cana-2377	224	8	dynamic	dynamic	ADJ
cana-2377	224	9	systems	system	NOUN
cana-2377	224	10	.	.	PUNCT
cana-2377	225	1	in	in	ADP
cana-2377	225	2	guidance	guidance	NOUN
cana-2377	225	3	,	,	PUNCT
cana-2377	225	4	navigation	navigation	NOUN
cana-2377	225	5	,	,	PUNCT
cana-2377	225	6	and	and	CCONJ
cana-2377	225	7	control	control	PROPN
cana-2377	225	8	conference	conference	NOUN
cana-2377	225	9	(	(	PUNCT
cana-2377	225	10	p.	p.	NOUN
cana-2377	225	11	3219	3219	NUM
cana-2377	225	12	)	)	PUNCT
cana-2377	225	13	.	.	PUNCT
cana-2377	226	1	[	[	X
cana-2377	226	2	2	2	NUM
cana-2377	226	3	]	]	X
cana-2377	226	4	kourd	kourd	NOUN
cana-2377	226	5	,	,	PUNCT
cana-2377	226	6	y.	y.	PROPN
cana-2377	226	7	,	,	PUNCT
cana-2377	226	8	lefebvre	lefebvre	PROPN
cana-2377	226	9	,	,	PUNCT
cana-2377	226	10	d.	d.	PROPN
cana-2377	226	11	,	,	PUNCT
cana-2377	226	12	&	&	CCONJ
cana-2377	226	13	guersi	guersi	NOUN
cana-2377	226	14	,	,	PUNCT
cana-2377	226	15	n.	n.	NOUN
cana-2377	226	16	(	(	PUNCT
cana-2377	226	17	2013	2013	NUM
cana-2377	226	18	)	)	PUNCT
cana-2377	226	19	.	.	PUNCT
cana-2377	227	1	fault	fault	VERB
cana-2377	227	2	diagnosis	diagnosis	NOUN
cana-2377	227	3	based	base	VERB
cana-2377	227	4	on	on	ADP
cana-2377	227	5	neural	neural	ADJ
cana-2377	227	6	networks	network	NOUN
cana-2377	227	7	and	and	CCONJ
cana-2377	227	8	decision	decision	NOUN
cana-2377	227	9	trees	tree	NOUN
cana-2377	227	10	:	:	PUNCT
cana-2377	227	11	application	application	NOUN
cana-2377	227	12	to	to	ADP
cana-2377	227	13	damadics	damadic	NOUN
cana-2377	227	14	.	.	PUNCT
cana-2377	228	1	international	international	ADJ
cana-2377	228	2	journal	journal	NOUN
cana-2377	228	3	of	of	ADP
cana-2377	228	4	innovative	innovative	ADJ
cana-2377	228	5	computing	computing	NOUN
cana-2377	228	6	,	,	PUNCT
cana-2377	228	7	information	information	NOUN
cana-2377	228	8	and	and	CCONJ
cana-2377	228	9	control	control	NOUN
cana-2377	228	10	,	,	PUNCT
cana-2377	228	11	9(8	9(8	NUM
cana-2377	228	12	)	)	PUNCT
cana-2377	228	13	,	,	PUNCT
cana-2377	228	14	31853196	31853196	NUM
cana-2377	228	15	.	.	PUNCT
cana-2377	229	1	[	[	X
cana-2377	229	2	3	3	NUM
cana-2377	229	3	]	]	X
cana-2377	229	4	kourd	kourd	NOUN
cana-2377	229	5	,	,	PUNCT
cana-2377	229	6	y.	y.	PROPN
cana-2377	229	7	,	,	PUNCT
cana-2377	229	8	lefebvre	lefebvre	PROPN
cana-2377	229	9	,	,	PUNCT
cana-2377	229	10	d.	d.	PROPN
cana-2377	229	11	,	,	PUNCT
cana-2377	229	12	&	&	CCONJ
cana-2377	229	13	guersi	guersi	NOUN
cana-2377	229	14	,	,	PUNCT
cana-2377	229	15	n.	n.	NOUN
cana-2377	229	16	(	(	PUNCT
cana-2377	229	17	2011	2011	NUM
cana-2377	229	18	)	)	PUNCT
cana-2377	229	19	.	.	PUNCT
cana-2377	230	1	early	early	ADJ
cana-2377	230	2	fdi	fdi	NOUN
cana-2377	230	3	based	base	VERB
cana-2377	230	4	on	on	ADP
cana-2377	230	5	residuals	residual	NOUN
cana-2377	230	6	design	design	NOUN
cana-2377	230	7	according	accord	VERB
cana-2377	230	8	to	to	ADP
cana-2377	230	9	the	the	DET
cana-2377	230	10	analysis	analysis	NOUN
cana-2377	230	11	of	of	ADP
cana-2377	230	12	models	model	NOUN
cana-2377	230	13	of	of	ADP
cana-2377	230	14	faults	fault	NOUN
cana-2377	230	15	:	:	PUNCT
cana-2377	230	16	application	application	NOUN
cana-2377	230	17	to	to	ADP
cana-2377	230	18	damadics	damadic	NOUN
cana-2377	230	19	.	.	PUNCT
cana-2377	231	1	advances	advance	NOUN
cana-2377	231	2	in	in	ADP
cana-2377	231	3	artificial	artificial	ADJ
cana-2377	231	4	neural	neural	ADJ
cana-2377	231	5	systems	system	NOUN
cana-2377	231	6	,	,	PUNCT
cana-2377	231	7	2011	2011	NUM
cana-2377	231	8	.	.	PUNCT
cana-2377	232	1	[	[	X
cana-2377	232	2	4	4	NUM
cana-2377	232	3	]	]	X
cana-2377	232	4	ene	ene	PROPN
cana-2377	232	5	,	,	PUNCT
cana-2377	232	6	m.	m.	NOUN
cana-2377	232	7	(	(	PUNCT
cana-2377	232	8	2008	2008	NUM
cana-2377	232	9	)	)	PUNCT
cana-2377	232	10	.	.	PUNCT
cana-2377	233	1	neural	neural	ADJ
cana-2377	233	2	network	network	NOUN
cana-2377	233	3	-	-	PUNCT
cana-2377	233	4	based	base	VERB
cana-2377	233	5	approach	approach	NOUN
cana-2377	233	6	to	to	PART
cana-2377	233	7	discriminate	discriminate	VERB
cana-2377	233	8	healthy	healthy	ADJ
cana-2377	233	9	people	people	NOUN
cana-2377	233	10	from	from	ADP
cana-2377	233	11	those	those	PRON
cana-2377	233	12	with	with	ADP
cana-2377	233	13	parkinson	parkinson	NOUN
cana-2377	233	14	's	's	PART
cana-2377	233	15	disease	disease	NOUN
cana-2377	233	16	.	.	PUNCT
cana-2377	234	1	annals	annal	NOUN
cana-2377	234	2	of	of	ADP
cana-2377	234	3	the	the	DET
cana-2377	234	4	university	university	NOUN
cana-2377	234	5	of	of	ADP
cana-2377	234	6	craiova	craiova	PROPN
cana-2377	234	7	-	-	PUNCT
cana-2377	234	8	mathematics	mathematic	NOUN
cana-2377	234	9	and	and	CCONJ
cana-2377	234	10	computer	computer	NOUN
cana-2377	234	11	science	science	NOUN
cana-2377	234	12	series	series	NOUN
cana-2377	234	13	,	,	PUNCT
cana-2377	234	14	35	35	NUM
cana-2377	234	15	,	,	PUNCT
cana-2377	234	16	112	112	NUM
cana-2377	234	17	-	-	SYM
cana-2377	234	18	116	116	NUM
cana-2377	234	19	.	.	PUNCT
cana-2377	235	1	[	[	X
cana-2377	235	2	5	5	NUM
cana-2377	235	3	]	]	PUNCT
cana-2377	235	4	thirumarimurugan	thirumarimurugan	NOUN
cana-2377	235	5	,	,	PUNCT
cana-2377	235	6	m.	m.	NOUN
cana-2377	235	7	,	,	PUNCT
cana-2377	235	8	bagyalakshmi	bagyalakshmi	NOUN
cana-2377	235	9	,	,	PUNCT
cana-2377	235	10	n.	n.	NOUN
cana-2377	235	11	,	,	PUNCT
cana-2377	235	12	&	&	CCONJ
cana-2377	235	13	paarkavi	paarkavi	PROPN
cana-2377	235	14	,	,	PUNCT
cana-2377	235	15	p.	p.	NOUN
cana-2377	235	16	(	(	PUNCT
cana-2377	235	17	2016	2016	NUM
cana-2377	235	18	,	,	PUNCT
cana-2377	235	19	january	january	PROPN
cana-2377	235	20	)	)	PUNCT
cana-2377	235	21	.	.	PUNCT
cana-2377	236	1	comparison	comparison	NOUN
cana-2377	236	2	of	of	ADP
cana-2377	236	3	fault	fault	NOUN
cana-2377	236	4	detection	detection	NOUN
cana-2377	236	5	and	and	CCONJ
cana-2377	236	6	isolation	isolation	NOUN
cana-2377	236	7	methods	method	NOUN
cana-2377	236	8	:	:	PUNCT
cana-2377	236	9	a	a	DET
cana-2377	236	10	review	review	NOUN
cana-2377	236	11	.	.	PUNCT
cana-2377	237	1	in	in	ADP
cana-2377	237	2	2016	2016	NUM
cana-2377	237	3	10th	10th	ADJ
cana-2377	237	4	international	international	ADJ
cana-2377	237	5	conference	conference	NOUN
cana-2377	237	6	on	on	ADP
cana-2377	237	7	intelligent	intelligent	ADJ
cana-2377	237	8	systems	system	NOUN
cana-2377	237	9	and	and	CCONJ
cana-2377	237	10	control	control	NOUN
cana-2377	237	11	(	(	PUNCT
cana-2377	237	12	isco	isco	PROPN
cana-2377	237	13	)	)	PUNCT
cana-2377	237	14	(	(	PUNCT
cana-2377	237	15	pp	pp	X
cana-2377	237	16	.	.	PUNCT
cana-2377	238	1	1	1	NUM
cana-2377	238	2	-	-	SYM
cana-2377	238	3	6	6	NUM
cana-2377	238	4	)	)	PUNCT
cana-2377	238	5	.	.	PUNCT
cana-2377	239	1	ieee	ieee	NOUN
cana-2377	239	2	.	.	PUNCT
cana-2377	240	1	[	[	X
cana-2377	240	2	6	6	NUM
cana-2377	240	3	]	]	X
cana-2377	240	4	rahimi	rahimi	NOUN
cana-2377	240	5	,	,	PUNCT
cana-2377	240	6	a.	a.	NOUN
cana-2377	240	7	(	(	PUNCT
cana-2377	240	8	2012	2012	NUM
cana-2377	240	9	)	)	PUNCT
cana-2377	240	10	.	.	PUNCT
cana-2377	241	1	particle	particle	NOUN
cana-2377	241	2	swarm	swarm	NOUN
cana-2377	241	3	optimization	optimization	NOUN
cana-2377	241	4	based	base	VERB
cana-2377	241	5	adaptive	adaptive	ADJ
cana-2377	241	6	kalman	kalman	NOUN
cana-2377	241	7	filters	filter	VERB
cana-2377	241	8	for	for	ADP
cana-2377	241	9	fault	fault	NOUN
cana-2377	241	10	diagnosis	diagnosis	NOUN
cana-2377	241	11	of	of	ADP
cana-2377	241	12	reaction	reaction	NOUN
cana-2377	241	13	wheels	wheel	NOUN
cana-2377	241	14	(	(	PUNCT
cana-2377	241	15	doctoral	doctoral	ADJ
cana-2377	241	16	dissertation	dissertation	NOUN
cana-2377	241	17	,	,	PUNCT
cana-2377	241	18	master	master	NOUN
cana-2377	241	19	dissertation	dissertation	NOUN
cana-2377	241	20	,	,	PUNCT
cana-2377	241	21	kn	kn	PROPN
cana-2377	241	22	toosi	toosi	PROPN
cana-2377	241	23	university	university	PROPN
cana-2377	241	24	of	of	ADP
cana-2377	241	25	technology	technology	PROPN
cana-2377	241	26	,	,	PUNCT
cana-2377	241	27	tehran	tehran	PROPN
cana-2377	241	28	,	,	PUNCT
cana-2377	241	29	iran	iran	PROPN
cana-2377	241	30	)	)	PUNCT
cana-2377	241	31	.	.	PUNCT
cana-2377	242	1	[	[	X
cana-2377	242	2	7	7	NUM
cana-2377	242	3	]	]	SYM
cana-2377	242	4	wu	wu	PROPN
cana-2377	242	5	,	,	PUNCT
cana-2377	242	6	x.	x.	PROPN
cana-2377	242	7	,	,	PUNCT
cana-2377	242	8	&	&	CCONJ
cana-2377	242	9	wang	wang	PROPN
cana-2377	242	10	,	,	PUNCT
cana-2377	242	11	y.	y.	PROPN
cana-2377	242	12	(	(	PUNCT
cana-2377	242	13	2012	2012	NUM
cana-2377	242	14	)	)	PUNCT
cana-2377	242	15	.	.	PUNCT
cana-2377	243	1	extended	extend	VERB
cana-2377	243	2	and	and	CCONJ
cana-2377	243	3	unscented	unscente	VERB
cana-2377	243	4	kalman	kalman	PROPN
cana-2377	243	5	filtering	filtering	PROPN
cana-2377	243	6	based	base	VERB
cana-2377	243	7	feedforward	feedforward	NOUN
cana-2377	243	8	neural	neural	ADJ
cana-2377	243	9	networks	network	NOUN
cana-2377	243	10	for	for	ADP
cana-2377	243	11	time	time	NOUN
cana-2377	243	12	series	series	PROPN
cana-2377	243	13	prediction	prediction	PROPN
cana-2377	243	14	.	.	PUNCT
cana-2377	244	1	applied	apply	VERB
cana-2377	244	2	mathematical	mathematical	ADJ
cana-2377	244	3	modelling	modelling	NOUN
cana-2377	244	4	,	,	PUNCT
cana-2377	244	5	36(3	36(3	NUM
cana-2377	244	6	)	)	PUNCT
cana-2377	244	7	,	,	PUNCT
cana-2377	244	8	1123	1123	NUM
cana-2377	244	9	-	-	SYM
cana-2377	244	10	1131	1131	NUM
cana-2377	244	11	.	.	PUNCT
cana-2377	245	1	[	[	X
cana-2377	245	2	8	8	NUM
cana-2377	245	3	]	]	X
cana-2377	245	4	pebrianti	pebrianti	X
cana-2377	245	5	,	,	PUNCT
cana-2377	245	6	d.	d.	PROPN
cana-2377	245	7	,	,	PUNCT
cana-2377	245	8	samad	samad	PROPN
cana-2377	245	9	,	,	PUNCT
cana-2377	245	10	r.	r.	PROPN
cana-2377	245	11	,	,	PUNCT
cana-2377	245	12	mustafa	mustafa	PROPN
cana-2377	245	13	,	,	PUNCT
cana-2377	245	14	m.	m.	NOUN
cana-2377	245	15	,	,	PUNCT
cana-2377	245	16	abdullah	abdullah	PROPN
cana-2377	245	17	,	,	PUNCT
cana-2377	245	18	n.	n.	PROPN
cana-2377	245	19	r.	r.	PROPN
cana-2377	245	20	h.	h.	PROPN
cana-2377	245	21	,	,	PUNCT
cana-2377	245	22	&	&	CCONJ
cana-2377	245	23	bayuaji	bayuaji	PROPN
cana-2377	245	24	,	,	PUNCT
cana-2377	245	25	l.	l.	PROPN
cana-2377	245	26	(	(	PUNCT
cana-2377	245	27	2016	2016	NUM
cana-2377	245	28	)	)	PUNCT
cana-2377	245	29	.	.	PUNCT
cana-2377	246	1	bank	bank	PROPN
cana-2377	246	2	of	of	ADP
cana-2377	246	3	kalman	kalman	PROPN
cana-2377	246	4	filters	filter	VERB
cana-2377	246	5	for	for	ADP
cana-2377	246	6	fault	fault	NOUN
cana-2377	246	7	detection	detection	NOUN
cana-2377	246	8	in	in	ADP
cana-2377	246	9	quadrotor	quadrotor	PROPN
cana-2377	246	10	mav	mav	PROPN
cana-2377	246	11	.	.	PROPN
cana-2377	246	12	journal	journal	PROPN
cana-2377	246	13	of	of	ADP
cana-2377	246	14	engineering	engineering	NOUN
cana-2377	246	15	and	and	CCONJ
cana-2377	246	16	applied	apply	VERB
cana-2377	246	17	sciences	science	NOUN
cana-2377	246	18	,	,	PUNCT
cana-2377	246	19	11(10	11(10	NUM
cana-2377	246	20	)	)	PUNCT
cana-2377	246	21	,	,	PUNCT
cana-2377	246	22	6668	6668	NUM
cana-2377	246	23	-	-	SYM
cana-2377	246	24	6674	6674	NUM
cana-2377	246	25	.	.	PUNCT
cana-2377	247	1	[	[	X
cana-2377	247	2	9	9	NUM
cana-2377	247	3	]	]	SYM
cana-2377	247	4	simani	simani	NOUN
cana-2377	247	5	,	,	PUNCT
cana-2377	247	6	s.	s.	PROPN
cana-2377	247	7	,	,	PUNCT
cana-2377	247	8	&	&	CCONJ
cana-2377	247	9	turhan	turhan	PROPN
cana-2377	247	10	,	,	PUNCT
cana-2377	247	11	c.	c.	NOUN
cana-2377	247	12	(	(	PUNCT
cana-2377	247	13	2018	2018	NUM
cana-2377	247	14	)	)	PUNCT
cana-2377	247	15	.	.	PUNCT
cana-2377	248	1	fault	fault	VERB
cana-2377	248	2	diagnosis	diagnosis	NOUN
cana-2377	248	3	of	of	ADP
cana-2377	248	4	a	a	DET
cana-2377	248	5	wind	wind	NOUN
cana-2377	248	6	turbine	turbine	NOUN
cana-2377	248	7	simulated	simulate	VERB
cana-2377	248	8	model	model	NOUN
cana-2377	248	9	via	via	ADP
cana-2377	248	10	neural	neural	ADJ
cana-2377	248	11	networks	network	NOUN
cana-2377	248	12	.	.	PUNCT
cana-2377	249	1	ifacpapersonline	ifacpapersonline	PROPN
cana-2377	249	2	,	,	PUNCT
cana-2377	249	3	51(24	51(24	NUM
cana-2377	249	4	)	)	PUNCT
cana-2377	249	5	,	,	PUNCT
cana-2377	249	6	381	381	NUM
cana-2377	249	7	-	-	SYM
cana-2377	249	8	388	388	NUM
cana-2377	249	9	.	.	PUNCT
cana-2377	250	1	[	[	X
cana-2377	250	2	10	10	NUM
cana-2377	250	3	]	]	X
cana-2377	250	4	härter	härter	PROPN
cana-2377	250	5	,	,	PUNCT
cana-2377	250	6	f.	f.	PROPN
cana-2377	250	7	p.	p.	PROPN
cana-2377	250	8	,	,	PUNCT
cana-2377	250	9	&	&	CCONJ
cana-2377	250	10	de	de	PROPN
cana-2377	250	11	campos	campos	PROPN
cana-2377	250	12	velho	velho	PROPN
cana-2377	250	13	,	,	PUNCT
cana-2377	250	14	h.	h.	PROPN
cana-2377	250	15	f.	f.	PROPN
cana-2377	250	16	(	(	PUNCT
cana-2377	250	17	2008	2008	NUM
cana-2377	250	18	)	)	PUNCT
cana-2377	250	19	.	.	PUNCT
cana-2377	251	1	new	new	ADJ
cana-2377	251	2	approach	approach	NOUN
cana-2377	251	3	to	to	ADP
cana-2377	251	4	applying	apply	VERB
cana-2377	251	5	neural	neural	ADJ
cana-2377	251	6	network	network	NOUN
cana-2377	251	7	in	in	ADP
cana-2377	251	8	nonlinear	nonlinear	ADJ
cana-2377	251	9	dynamic	dynamic	ADJ
cana-2377	251	10	model	model	NOUN
cana-2377	251	11	.	.	PUNCT
cana-2377	252	1	applied	apply	VERB
cana-2377	252	2	mathematical	mathematical	ADJ
cana-2377	252	3	modelling	modelling	NOUN
cana-2377	252	4	,	,	PUNCT
cana-2377	252	5	32(12	32(12	NUM
cana-2377	252	6	)	)	PUNCT
cana-2377	252	7	,	,	PUNCT
cana-2377	252	8	2621	2621	NUM
cana-2377	252	9	-	-	SYM
cana-2377	252	10	2633	2633	NUM
cana-2377	252	11	.	.	PUNCT
cana-2377	253	1	[	[	X
cana-2377	253	2	11	11	NUM
cana-2377	253	3	]	]	X
cana-2377	253	4	calderon	calderon	PROPN
cana-2377	253	5	-	-	PUNCT
cana-2377	253	6	mendoza	mendoza	PROPN
cana-2377	253	7	,	,	PUNCT
cana-2377	253	8	e.	e.	PROPN
cana-2377	253	9	,	,	PUNCT
cana-2377	253	10	schweitzer	schweitzer	PROPN
cana-2377	253	11	,	,	PUNCT
cana-2377	253	12	p.	p.	PROPN
cana-2377	253	13	,	,	PUNCT
cana-2377	253	14	&	&	CCONJ
cana-2377	253	15	weber	weber	PROPN
cana-2377	253	16	,	,	PUNCT
cana-2377	253	17	s.	s.	PROPN
cana-2377	253	18	(	(	PUNCT
cana-2377	253	19	2019	2019	NUM
cana-2377	253	20	)	)	PUNCT
cana-2377	253	21	.	.	PUNCT
cana-2377	254	1	kalman	kalman	NOUN
cana-2377	254	2	filter	filter	PROPN
cana-2377	254	3	and	and	CCONJ
cana-2377	254	4	a	a	DET
cana-2377	254	5	fuzzy	fuzzy	ADJ
cana-2377	254	6	logic	logic	NOUN
cana-2377	254	7	processor	processor	NOUN
cana-2377	254	8	for	for	ADP
cana-2377	254	9	series	series	NOUN
cana-2377	254	10	arcing	arc	VERB
cana-2377	254	11	fault	fault	NOUN
cana-2377	254	12	detection	detection	NOUN
cana-2377	254	13	in	in	ADP
cana-2377	254	14	a	a	DET
cana-2377	254	15	home	home	NOUN
cana-2377	254	16	electrical	electrical	ADJ
cana-2377	254	17	network	network	NOUN
cana-2377	254	18	.	.	PUNCT
cana-2377	255	1	international	international	ADJ
cana-2377	255	2	journal	journal	NOUN
cana-2377	255	3	of	of	ADP
cana-2377	255	4	electrical	electrical	ADJ
cana-2377	255	5	power	power	NOUN
cana-2377	255	6	&	&	CCONJ
cana-2377	255	7	energy	energy	NOUN
cana-2377	255	8	systems	system	NOUN
cana-2377	255	9	,	,	PUNCT
cana-2377	255	10	107	107	NUM
cana-2377	255	11	,	,	PUNCT
cana-2377	255	12	251	251	NUM
cana-2377	255	13	-	-	SYM
cana-2377	255	14	263	263	NUM
cana-2377	255	15	.	.	PUNCT
cana-2377	256	1	[	[	X
cana-2377	256	2	12	12	NUM
cana-2377	256	3	]	]	X
cana-2377	256	4	calderon	calderon	PROPN
cana-2377	256	5	-	-	PUNCT
cana-2377	256	6	mendoza	mendoza	PROPN
cana-2377	256	7	,	,	PUNCT
cana-2377	256	8	e.	e.	PROPN
cana-2377	256	9	,	,	PUNCT
cana-2377	256	10	schweitzer	schweitzer	PROPN
cana-2377	256	11	,	,	PUNCT
cana-2377	256	12	p.	p.	PROPN
cana-2377	256	13	,	,	PUNCT
cana-2377	256	14	&	&	CCONJ
cana-2377	256	15	weber	weber	PROPN
cana-2377	256	16	,	,	PUNCT
cana-2377	256	17	s.	s.	PROPN
cana-2377	256	18	(	(	PUNCT
cana-2377	256	19	2019	2019	NUM
cana-2377	256	20	)	)	PUNCT
cana-2377	256	21	.	.	PUNCT
cana-2377	257	1	kalman	kalman	NOUN
cana-2377	257	2	filter	filter	PROPN
cana-2377	257	3	and	and	CCONJ
cana-2377	257	4	a	a	DET
cana-2377	257	5	fuzzy	fuzzy	ADJ
cana-2377	257	6	logic	logic	NOUN
cana-2377	257	7	processor	processor	NOUN
cana-2377	257	8	for	for	ADP
cana-2377	257	9	series	series	NOUN
cana-2377	257	10	arcing	arc	VERB
cana-2377	257	11	fault	fault	NOUN
cana-2377	257	12	detection	detection	NOUN
cana-2377	257	13	in	in	ADP
cana-2377	257	14	a	a	DET
cana-2377	257	15	home	home	NOUN
cana-2377	257	16	electrical	electrical	ADJ
cana-2377	257	17	network	network	NOUN
cana-2377	257	18	.	.	PUNCT
cana-2377	258	1	international	international	ADJ
cana-2377	258	2	journal	journal	NOUN
cana-2377	258	3	of	of	ADP
cana-2377	258	4	electrical	electrical	ADJ
cana-2377	258	5	power	power	NOUN
cana-2377	258	6	&	&	CCONJ
cana-2377	258	7	energy	energy	NOUN
cana-2377	258	8	systems	system	NOUN
cana-2377	258	9	,	,	PUNCT
cana-2377	258	10	107	107	NUM
cana-2377	258	11	,	,	PUNCT
cana-2377	258	12	251	251	NUM
cana-2377	258	13	-	-	SYM
cana-2377	258	14	263	263	NUM
cana-2377	258	15	.	.	PUNCT
cana-2377	259	1	[	[	X
cana-2377	259	2	13	13	NUM
cana-2377	259	3	]	]	SYM
cana-2377	259	4	calderon	calderon	PROPN
cana-2377	259	5	-	-	PUNCT
cana-2377	259	6	mendoza	mendoza	PROPN
cana-2377	259	7	,	,	PUNCT
cana-2377	259	8	e.	e.	PROPN
cana-2377	259	9	,	,	PUNCT
cana-2377	259	10	schweitzer	schweitzer	PROPN
cana-2377	259	11	,	,	PUNCT
cana-2377	259	12	p.	p.	PROPN
cana-2377	259	13	,	,	PUNCT
cana-2377	259	14	&	&	CCONJ
cana-2377	259	15	weber	weber	PROPN
cana-2377	259	16	,	,	PUNCT
cana-2377	259	17	s.	s.	PROPN
cana-2377	259	18	(	(	PUNCT
cana-2377	259	19	2019	2019	NUM
cana-2377	259	20	)	)	PUNCT
cana-2377	259	21	.	.	PUNCT
cana-2377	260	1	kalman	kalman	NOUN
cana-2377	260	2	filter	filter	PROPN
cana-2377	260	3	and	and	CCONJ
cana-2377	260	4	a	a	DET
cana-2377	260	5	fuzzy	fuzzy	ADJ
cana-2377	260	6	logic	logic	NOUN
cana-2377	260	7	processor	processor	NOUN
cana-2377	260	8	for	for	ADP
cana-2377	260	9	series	series	NOUN
cana-2377	260	10	arcing	arc	VERB
cana-2377	260	11	fault	fault	NOUN
cana-2377	260	12	detection	detection	NOUN
cana-2377	260	13	in	in	ADP
cana-2377	260	14	a	a	DET
cana-2377	260	15	home	home	NOUN
cana-2377	260	16	electrical	electrical	ADJ
cana-2377	260	17	network	network	NOUN
cana-2377	260	18	.	.	PUNCT
cana-2377	261	1	international	international	ADJ
cana-2377	261	2	journal	journal	NOUN
cana-2377	261	3	of	of	ADP
cana-2377	261	4	electrical	electrical	ADJ
cana-2377	261	5	power	power	NOUN
cana-2377	261	6	&	&	CCONJ
cana-2377	261	7	energy	energy	NOUN
cana-2377	261	8	systems	system	NOUN
cana-2377	261	9	,	,	PUNCT
cana-2377	261	10	107	107	NUM
cana-2377	261	11	,	,	PUNCT
cana-2377	261	12	251	251	NUM
cana-2377	261	13	-	-	SYM
cana-2377	261	14	263	263	NUM
cana-2377	261	15	.	.	PUNCT
cana-2377	262	1	[	[	X
cana-2377	262	2	14	14	NUM
cana-2377	262	3	]	]	SYM
cana-2377	262	4	benrhmach	benrhmach	NOUN
cana-2377	262	5	,	,	PUNCT
cana-2377	262	6	g.	g.	PROPN
cana-2377	262	7	,	,	PUNCT
cana-2377	262	8	namir	namir	PROPN
cana-2377	262	9	,	,	PUNCT
cana-2377	262	10	k.	k.	PROPN
cana-2377	262	11	,	,	PUNCT
cana-2377	262	12	namir	namir	PROPN
cana-2377	262	13	,	,	PUNCT
cana-2377	262	14	a.	a.	NOUN
cana-2377	262	15	,	,	PUNCT
cana-2377	262	16	&	&	CCONJ
cana-2377	262	17	bouyaghroumni	bouyaghroumni	PROPN
cana-2377	262	18	,	,	PUNCT
cana-2377	262	19	j.	j.	PROPN
cana-2377	262	20	(	(	PUNCT
cana-2377	262	21	2020	2020	NUM
cana-2377	262	22	)	)	PUNCT
cana-2377	262	23	.	.	PUNCT
cana-2377	263	1	nonlinear	nonlinear	ADJ
cana-2377	263	2	autoregressive	autoregressive	ADJ
cana-2377	263	3	neural	neural	ADJ
cana-2377	263	4	network	network	NOUN
cana-2377	263	5	and	and	CCONJ
cana-2377	263	6	extended	extended	ADJ
cana-2377	263	7	kalman	kalman	NOUN
cana-2377	263	8	filters	filter	NOUN
cana-2377	263	9	for	for	ADP
cana-2377	263	10	prediction	prediction	NOUN
cana-2377	263	11	of	of	ADP
cana-2377	263	12	financial	financial	ADJ
cana-2377	263	13	time	time	NOUN
cana-2377	263	14	series	series	PROPN
cana-2377	263	15	.	.	PUNCT
cana-2377	264	1	journal	journal	PROPN
cana-2377	264	2	of	of	ADP
cana-2377	264	3	applied	apply	VERB
cana-2377	264	4	mathematics	mathematic	NOUN
cana-2377	264	5	,	,	PUNCT
cana-2377	264	6	2020	2020	NUM
cana-2377	264	7	.	.	PUNCT
cana-2377	265	1	[	[	X
cana-2377	265	2	15	15	NUM
cana-2377	265	3	]	]	X
cana-2377	265	4	chen	chen	PROPN
cana-2377	265	5	,	,	PUNCT
cana-2377	265	6	c.	c.	PROPN
cana-2377	265	7	,	,	PUNCT
cana-2377	265	8	xiong	xiong	PROPN
cana-2377	265	9	,	,	PUNCT
cana-2377	265	10	r.	r.	PROPN
cana-2377	265	11	,	,	PUNCT
cana-2377	265	12	yang	yang	PROPN
cana-2377	265	13	,	,	PUNCT
cana-2377	265	14	r.	r.	PROPN
cana-2377	265	15	,	,	PUNCT
cana-2377	265	16	shen	shen	PROPN
cana-2377	265	17	,	,	PUNCT
cana-2377	265	18	w.	w.	PROPN
cana-2377	265	19	,	,	PUNCT
cana-2377	265	20	&	&	CCONJ
cana-2377	265	21	sun	sun	PROPN
cana-2377	265	22	,	,	PUNCT
cana-2377	265	23	f.	f.	PROPN
cana-2377	265	24	(	(	PUNCT
cana-2377	265	25	2019	2019	NUM
cana-2377	265	26	)	)	PUNCT
cana-2377	265	27	.	.	PUNCT
cana-2377	266	1	state	state	NOUN
cana-2377	266	2	-	-	PUNCT
cana-2377	266	3	of	of	ADP
cana-2377	266	4	-	-	PUNCT
cana-2377	266	5	charge	charge	NOUN
cana-2377	266	6	estimation	estimation	NOUN
cana-2377	266	7	of	of	ADP
cana-2377	266	8	lithium	lithium	NOUN
cana-2377	266	9	-	-	PUNCT
cana-2377	266	10	ion	ion	NOUN
cana-2377	266	11	battery	battery	NOUN
cana-2377	266	12	using	use	VERB
cana-2377	266	13	an	an	DET
cana-2377	266	14	improved	improved	ADJ
cana-2377	266	15	neural	neural	ADJ
cana-2377	266	16	network	network	NOUN
cana-2377	266	17	model	model	NOUN
cana-2377	266	18	and	and	CCONJ
cana-2377	266	19	extended	extended	ADJ
cana-2377	266	20	kalman	kalman	NOUN
cana-2377	266	21	filter	filter	PROPN
cana-2377	266	22	.	.	PUNCT
cana-2377	267	1	journal	journal	PROPN
cana-2377	267	2	of	of	ADP
cana-2377	267	3	cleaner	clean	ADJ
cana-2377	267	4	production	production	NOUN
cana-2377	267	5	,	,	PUNCT
cana-2377	267	6	234	234	NUM
cana-2377	267	7	,	,	PUNCT
cana-2377	267	8	1153	1153	NUM
cana-2377	267	9	-	-	SYM
cana-2377	267	10	1164	1164	NUM
cana-2377	267	11	.	.	PUNCT
cana-2377	268	1	[	[	X
cana-2377	268	2	16	16	NUM
cana-2377	268	3	]	]	X
cana-2377	268	4	de	de	X
cana-2377	268	5	lima	lima	PROPN
cana-2377	268	6	,	,	PUNCT
cana-2377	268	7	d.	d.	PROPN
cana-2377	268	8	p.	p.	PROPN
cana-2377	268	9	,	,	PUNCT
cana-2377	268	10	sanches	sanches	PROPN
cana-2377	268	11	,	,	PUNCT
cana-2377	268	12	r.	r.	PROPN
cana-2377	268	13	f.	f.	PROPN
cana-2377	268	14	v.	v.	PROPN
cana-2377	268	15	,	,	PUNCT
cana-2377	268	16	&	&	CCONJ
cana-2377	268	17	pedrino	pedrino	PROPN
cana-2377	268	18	,	,	PUNCT
cana-2377	268	19	e.	e.	PROPN
cana-2377	268	20	c.	c.	PROPN
cana-2377	268	21	(	(	PUNCT
cana-2377	268	22	2017	2017	NUM
cana-2377	268	23	)	)	PUNCT
cana-2377	268	24	.	.	PUNCT
cana-2377	269	1	neural	neural	ADJ
cana-2377	269	2	network	network	NOUN
cana-2377	269	3	training	training	NOUN
cana-2377	269	4	using	use	VERB
cana-2377	269	5	unscented	unscente	VERB
cana-2377	269	6	and	and	CCONJ
cana-2377	269	7	extended	extended	ADJ
cana-2377	269	8	kalman	kalman	NOUN
cana-2377	269	9	filter	filter	NOUN
cana-2377	269	10	.	.	PUNCT
cana-2377	270	1	eng	eng	PROPN
cana-2377	270	2	.	.	PUNCT
cana-2377	271	1	j.	j.	PROPN
cana-2377	271	2	,	,	PUNCT
cana-2377	271	3	1	1	NUM
cana-2377	271	4	,	,	PUNCT
cana-2377	271	5	555	555	NUM
cana-2377	271	6	-	-	SYM
cana-2377	271	7	568	568	NUM
cana-2377	271	8	.	.	PUNCT
cana-2377	272	1	[	[	X
cana-2377	272	2	17	17	NUM
cana-2377	272	3	]	]	X
cana-2377	272	4	chen	chen	PROPN
cana-2377	272	5	,	,	PUNCT
cana-2377	272	6	t.	t.	PROPN
cana-2377	272	7	,	,	PUNCT
cana-2377	272	8	&	&	CCONJ
cana-2377	272	9	chen	chen	PROPN
cana-2377	272	10	,	,	PUNCT
cana-2377	272	11	b.	b.	PROPN
cana-2377	272	12	(	(	PUNCT
cana-2377	272	13	2022	2022	NUM
cana-2377	272	14	)	)	PUNCT
cana-2377	272	15	.	.	PUNCT
cana-2377	273	1	nonlinear	nonlinear	ADJ
cana-2377	273	2	identification	identification	NOUN
cana-2377	273	3	of	of	ADP
cana-2377	273	4	pmsm	pmsm	NOUN
cana-2377	273	5	rotor	rotor	NOUN
cana-2377	273	6	magnetic	magnetic	ADJ
cana-2377	273	7	linkages	linkage	NOUN
cana-2377	273	8	based	base	VERB
cana-2377	273	9	on	on	ADP
cana-2377	273	10	an	an	DET
cana-2377	273	11	improved	improve	VERB
cana-2377	273	12	extended	extended	ADJ
cana-2377	273	13	kalman	kalman	NOUN
cana-2377	273	14	filter	filter	NOUN
cana-2377	273	15	.	.	PUNCT
cana-2377	274	1	journal	journal	PROPN
cana-2377	274	2	of	of	ADP
cana-2377	274	3	sensors	sensor	NOUN
cana-2377	274	4	,	,	PUNCT
cana-2377	274	5	2022	2022	NUM
cana-2377	274	6	.	.	PUNCT