id	sid	tid	token	lemma	pos
cana-2190	1	1	communications	communication	NOUN
cana-2190	1	2	on	on	ADP
cana-2190	1	3	applied	apply	VERB
cana-2190	1	4	nonlinear	nonlinear	ADJ
cana-2190	1	5	analysis	analysis	NOUN
cana-2190	1	6	issn	issn	NOUN
cana-2190	1	7	:	:	PUNCT
cana-2190	1	8	1074	1074	NUM
cana-2190	1	9	-	-	PUNCT
cana-2190	1	10	133x	133x	NUM
cana-2190	1	11	vol	vol	NOUN
cana-2190	1	12	32	32	NUM
cana-2190	1	13	no	no	NOUN
cana-2190	1	14	.	.	PUNCT
cana-2190	2	1	1s	1s	NUM
cana-2190	2	2	(	(	PUNCT
cana-2190	2	3	2025	2025	NUM
cana-2190	2	4	)	)	PUNCT
cana-2190	2	5	346	346	NUM
cana-2190	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	2	7	nonlinear	nonlinear	ADJ
cana-2190	2	8	optimization	optimization	NOUN
cana-2190	2	9	for	for	ADP
cana-2190	2	10	optimal	optimal	ADJ
cana-2190	2	11	fault	fault	NOUN
cana-2190	2	12	detection	detection	NOUN
cana-2190	2	13	and	and	CCONJ
cana-2190	2	14	classification	classification	NOUN
cana-2190	2	15	in	in	ADP
cana-2190	2	16	power	power	NOUN
cana-2190	2	17	systems	system	NOUN
cana-2190	2	18	using	use	VERB
cana-2190	2	19	novel	novel	NOUN
cana-2190	2	20	semi	semi	ADJ
cana-2190	2	21	-	-	ADJ
cana-2190	2	22	supervised	supervised	ADJ
cana-2190	2	23	knn	knn	PROPN
cana-2190	2	24	approach	approach	PROPN
cana-2190	2	25	debshree	debshree	PROPN
cana-2190	2	26	bhattacharya	bhattacharya	NOUN
cana-2190	2	27	1	1	NUM
cana-2190	2	28	,	,	PUNCT
cana-2190	2	29	albert	albert	PROPN
cana-2190	2	30	john	john	PROPN
cana-2190	2	31	varghese	varghese	PROPN
cana-2190	2	32	2	2	NUM
cana-2190	2	33	,	,	PUNCT
cana-2190	2	34	#	#	X
cana-2190	2	35	,	,	PUNCT
cana-2190	2	36	rejo	rejo	PROPN
cana-2190	2	37	roy	roy	PROPN
cana-2190	2	38	3	3	NUM
cana-2190	2	39	1	1	NUM
cana-2190	2	40	assistant	assistant	NOUN
cana-2190	2	41	professor	professor	NOUN
cana-2190	2	42	,	,	PUNCT
cana-2190	2	43	electrical	electrical	ADJ
cana-2190	2	44	engineering	engineering	NOUN
cana-2190	2	45	,	,	PUNCT
cana-2190	2	46	rungta	rungta	PROPN
cana-2190	2	47	college	college	NOUN
cana-2190	2	48	of	of	ADP
cana-2190	2	49	engineering	engineering	PROPN
cana-2190	2	50	&	&	CCONJ
cana-2190	2	51	technology	technology	PROPN
cana-2190	2	52	,	,	PUNCT
cana-2190	2	53	bhilai	bhilai	NOUN
cana-2190	2	54	2,3associate	2,3associate	NUM
cana-2190	2	55	professor	professor	NOUN
cana-2190	2	56	,	,	PUNCT
cana-2190	2	57	electrical	electrical	ADJ
cana-2190	2	58	engineering	engineering	NOUN
cana-2190	2	59	,	,	PUNCT
cana-2190	2	60	rungta	rungta	PROPN
cana-2190	2	61	college	college	NOUN
cana-2190	2	62	of	of	ADP
cana-2190	2	63	engineering	engineering	PROPN
cana-2190	2	64	&	&	CCONJ
cana-2190	2	65	technology	technology	PROPN
cana-2190	2	66	,	,	PUNCT
cana-2190	2	67	bhilai	bhilai	NOUN
cana-2190	2	68	email	email	NOUN
cana-2190	2	69	1debshree.bhattacharya@gmail.com	1debshree.bhattacharya@gmail.com	NUM
cana-2190	2	70	,	,	PUNCT
cana-2190	2	71	3rejo.roy@rungta.ac.in	3rejo.roy@rungta.ac.in	NUM
cana-2190	2	72	#	#	NOUN
cana-2190	2	73	corresponding	correspond	VERB
cana-2190	2	74	author	author	NOUN
cana-2190	2	75	–	–	PUNCT
cana-2190	2	76	2albert.varghese@rungta.ac.in	2albert.varghese@rungta.ac.in	NUM
cana-2190	2	77	article	article	NOUN
cana-2190	2	78	history	history	NOUN
cana-2190	2	79	:	:	PUNCT
cana-2190	2	80	received	receive	VERB
cana-2190	2	81	:	:	PUNCT
cana-2190	2	82	19	19	NUM
cana-2190	2	83	-	-	SYM
cana-2190	2	84	08	08	NUM
cana-2190	2	85	-	-	PUNCT
cana-2190	2	86	2024	2024	NUM
cana-2190	2	87	revised	revise	VERB
cana-2190	2	88	:	:	PUNCT
cana-2190	2	89	30	30	NUM
cana-2190	2	90	-	-	SYM
cana-2190	2	91	09	09	NUM
cana-2190	2	92	-	-	PUNCT
cana-2190	2	93	2024	2024	NUM
cana-2190	2	94	accepted	accept	VERB
cana-2190	2	95	:	:	PUNCT
cana-2190	2	96	18	18	NUM
cana-2190	2	97	-	-	SYM
cana-2190	2	98	10	10	NUM
cana-2190	2	99	-	-	PUNCT
cana-2190	2	100	2024	2024	NUM
cana-2190	2	101	abstract	abstract	NOUN
cana-2190	2	102	:	:	PUNCT
cana-2190	2	103	power	power	NOUN
cana-2190	2	104	system	system	NOUN
cana-2190	2	105	reliability	reliability	NOUN
cana-2190	2	106	is	be	AUX
cana-2190	2	107	paramount	paramount	ADJ
cana-2190	2	108	for	for	ADP
cana-2190	2	109	ensuring	ensure	VERB
cana-2190	2	110	uninterrupted	uninterrupted	ADJ
cana-2190	2	111	energy	energy	NOUN
cana-2190	2	112	supply	supply	NOUN
cana-2190	2	113	.	.	PUNCT
cana-2190	3	1	this	this	DET
cana-2190	3	2	paper	paper	NOUN
cana-2190	3	3	addresses	address	VERB
cana-2190	3	4	the	the	DET
cana-2190	3	5	critical	critical	ADJ
cana-2190	3	6	challenge	challenge	NOUN
cana-2190	3	7	of	of	ADP
cana-2190	3	8	accurate	accurate	ADJ
cana-2190	3	9	fault	fault	NOUN
cana-2190	3	10	detection	detection	NOUN
cana-2190	3	11	and	and	CCONJ
cana-2190	3	12	classification	classification	NOUN
cana-2190	3	13	in	in	ADP
cana-2190	3	14	power	power	NOUN
cana-2190	3	15	systems	system	NOUN
cana-2190	3	16	,	,	PUNCT
cana-2190	3	17	particularly	particularly	ADV
cana-2190	3	18	in	in	ADP
cana-2190	3	19	the	the	DET
cana-2190	3	20	context	context	NOUN
cana-2190	3	21	of	of	ADP
cana-2190	3	22	increasing	increase	VERB
cana-2190	3	23	renewable	renewable	ADJ
cana-2190	3	24	energy	energy	NOUN
cana-2190	3	25	integration	integration	NOUN
cana-2190	3	26	.	.	PUNCT
cana-2190	4	1	traditional	traditional	ADJ
cana-2190	4	2	protection	protection	NOUN
cana-2190	4	3	systems	system	NOUN
cana-2190	4	4	,	,	PUNCT
cana-2190	4	5	while	while	SCONJ
cana-2190	4	6	effective	effective	ADJ
cana-2190	4	7	,	,	PUNCT
cana-2190	4	8	often	often	ADV
cana-2190	4	9	struggle	struggle	VERB
cana-2190	4	10	to	to	PART
cana-2190	4	11	adapt	adapt	VERB
cana-2190	4	12	to	to	ADP
cana-2190	4	13	evolving	evolve	VERB
cana-2190	4	14	grid	grid	NOUN
cana-2190	4	15	conditions	condition	NOUN
cana-2190	4	16	and	and	CCONJ
cana-2190	4	17	emerging	emerge	VERB
cana-2190	4	18	fault	fault	NOUN
cana-2190	4	19	types	type	NOUN
cana-2190	4	20	.	.	PUNCT
cana-2190	5	1	to	to	PART
cana-2190	5	2	overcome	overcome	VERB
cana-2190	5	3	the	the	DET
cana-2190	5	4	limitations	limitation	NOUN
cana-2190	5	5	of	of	ADP
cana-2190	5	6	traditional	traditional	ADJ
cana-2190	5	7	supervised	supervised	ADJ
cana-2190	5	8	learning	learning	NOUN
cana-2190	5	9	methods	method	NOUN
cana-2190	5	10	,	,	PUNCT
cana-2190	5	11	which	which	PRON
cana-2190	5	12	require	require	VERB
cana-2190	5	13	large	large	ADJ
cana-2190	5	14	amounts	amount	NOUN
cana-2190	5	15	of	of	ADP
cana-2190	5	16	labelled	label	VERB
cana-2190	5	17	data	datum	NOUN
cana-2190	5	18	,	,	PUNCT
cana-2190	5	19	we	we	PRON
cana-2190	5	20	propose	propose	VERB
cana-2190	5	21	a	a	DET
cana-2190	5	22	novel	novel	NOUN
cana-2190	5	23	semi	semi	ADJ
cana-2190	5	24	-	-	ADJ
cana-2190	5	25	supervised	supervised	ADJ
cana-2190	5	26	learning	learning	NOUN
cana-2190	5	27	approach	approach	NOUN
cana-2190	5	28	based	base	VERB
cana-2190	5	29	on	on	ADP
cana-2190	5	30	the	the	DET
cana-2190	5	31	k	k	PROPN
cana-2190	5	32	-	-	PUNCT
cana-2190	5	33	nearest	near	ADJ
cana-2190	5	34	neighbor	neighbor	NOUN
cana-2190	5	35	(	(	PUNCT
cana-2190	5	36	knn	knn	PROPN
cana-2190	5	37	)	)	PUNCT
cana-2190	5	38	algorithm	algorithm	NOUN
cana-2190	5	39	for	for	ADP
cana-2190	5	40	robust	robust	ADJ
cana-2190	5	41	fault	fault	NOUN
cana-2190	5	42	detection	detection	NOUN
cana-2190	5	43	and	and	CCONJ
cana-2190	5	44	classification	classification	NOUN
cana-2190	5	45	in	in	ADP
cana-2190	5	46	power	power	NOUN
cana-2190	5	47	systems	system	NOUN
cana-2190	5	48	.	.	PUNCT
cana-2190	6	1	the	the	DET
cana-2190	6	2	proposed	propose	VERB
cana-2190	6	3	method	method	NOUN
cana-2190	6	4	leverages	leverage	VERB
cana-2190	6	5	the	the	DET
cana-2190	6	6	strengths	strength	NOUN
cana-2190	6	7	of	of	ADP
cana-2190	6	8	semi	semi	ADJ
cana-2190	6	9	-	-	ADJ
cana-2190	6	10	supervised	supervised	ADJ
cana-2190	6	11	learning	learning	NOUN
cana-2190	6	12	,	,	PUNCT
cana-2190	6	13	effectively	effectively	ADV
cana-2190	6	14	utilizing	utilize	VERB
cana-2190	6	15	both	both	CCONJ
cana-2190	6	16	labelled	label	VERB
cana-2190	6	17	and	and	CCONJ
cana-2190	6	18	unlabelled	unlabelled	ADJ
cana-2190	6	19	data	datum	NOUN
cana-2190	6	20	to	to	PART
cana-2190	6	21	improve	improve	VERB
cana-2190	6	22	classification	classification	NOUN
cana-2190	6	23	accuracy	accuracy	NOUN
cana-2190	6	24	of	of	ADP
cana-2190	6	25	transmission	transmission	NOUN
cana-2190	6	26	line	line	NOUN
cana-2190	6	27	faults	fault	NOUN
cana-2190	6	28	.	.	PUNCT
cana-2190	7	1	by	by	ADP
cana-2190	7	2	iteratively	iteratively	ADV
cana-2190	7	3	training	train	VERB
cana-2190	7	4	the	the	DET
cana-2190	7	5	knn	knn	PROPN
cana-2190	7	6	model	model	NOUN
cana-2190	7	7	on	on	ADP
cana-2190	7	8	an	an	DET
cana-2190	7	9	expanding	expand	VERB
cana-2190	7	10	dataset	dataset	NOUN
cana-2190	7	11	,	,	PUNCT
cana-2190	7	12	the	the	DET
cana-2190	7	13	system	system	NOUN
cana-2190	7	14	can	can	AUX
cana-2190	7	15	adapt	adapt	VERB
cana-2190	7	16	to	to	ADP
cana-2190	7	17	changing	change	VERB
cana-2190	7	18	fault	fault	NOUN
cana-2190	7	19	patterns	pattern	NOUN
cana-2190	7	20	and	and	CCONJ
cana-2190	7	21	enhance	enhance	VERB
cana-2190	7	22	its	its	PRON
cana-2190	7	23	performance	performance	NOUN
cana-2190	7	24	over	over	ADP
cana-2190	7	25	time	time	NOUN
cana-2190	7	26	.	.	PUNCT
cana-2190	8	1	to	to	PART
cana-2190	8	2	enhance	enhance	VERB
cana-2190	8	3	the	the	DET
cana-2190	8	4	robustness	robustness	NOUN
cana-2190	8	5	and	and	CCONJ
cana-2190	8	6	accuracy	accuracy	NOUN
cana-2190	8	7	of	of	ADP
cana-2190	8	8	fault	fault	NOUN
cana-2190	8	9	classification	classification	NOUN
cana-2190	8	10	,	,	PUNCT
cana-2190	8	11	we	we	PRON
cana-2190	8	12	formulate	formulate	VERB
cana-2190	8	13	the	the	DET
cana-2190	8	14	fault	fault	NOUN
cana-2190	8	15	detection	detection	NOUN
cana-2190	8	16	and	and	CCONJ
cana-2190	8	17	classification	classification	NOUN
cana-2190	8	18	problem	problem	NOUN
cana-2190	8	19	as	as	ADP
cana-2190	8	20	a	a	DET
cana-2190	8	21	nonlinear	nonlinear	ADJ
cana-2190	8	22	variational	variational	ADJ
cana-2190	8	23	inequality	inequality	NOUN
cana-2190	8	24	(	(	PUNCT
cana-2190	8	25	nvi)-based	nvi)-base	VERB
cana-2190	8	26	problem	problem	NOUN
cana-2190	8	27	.	.	PUNCT
cana-2190	9	1	this	this	DET
cana-2190	9	2	nvi	nvi	NOUN
cana-2190	9	3	framework	framework	NOUN
cana-2190	9	4	captures	capture	VERB
cana-2190	9	5	the	the	DET
cana-2190	9	6	inherent	inherent	ADJ
cana-2190	9	7	nonlinearity	nonlinearity	NOUN
cana-2190	9	8	of	of	ADP
cana-2190	9	9	power	power	NOUN
cana-2190	9	10	system	system	NOUN
cana-2190	9	11	dynamics	dynamic	NOUN
cana-2190	9	12	and	and	CCONJ
cana-2190	9	13	the	the	DET
cana-2190	9	14	variability	variability	NOUN
cana-2190	9	15	of	of	ADP
cana-2190	9	16	fault	fault	NOUN
cana-2190	9	17	events	event	NOUN
cana-2190	9	18	,	,	PUNCT
cana-2190	9	19	enabling	enable	VERB
cana-2190	9	20	the	the	DET
cana-2190	9	21	knn	knn	PROPN
cana-2190	9	22	classifier	classifier	NOUN
cana-2190	9	23	to	to	PART
cana-2190	9	24	accurately	accurately	ADV
cana-2190	9	25	identify	identify	VERB
cana-2190	9	26	faults	fault	NOUN
cana-2190	9	27	under	under	ADP
cana-2190	9	28	diverse	diverse	ADJ
cana-2190	9	29	operating	operating	NOUN
cana-2190	9	30	conditions	condition	NOUN
cana-2190	9	31	.	.	PUNCT
cana-2190	10	1	the	the	DET
cana-2190	10	2	proposed	propose	VERB
cana-2190	10	3	method	method	NOUN
cana-2190	10	4	is	be	AUX
cana-2190	10	5	evaluated	evaluate	VERB
cana-2190	10	6	through	through	ADP
cana-2190	10	7	extensive	extensive	ADJ
cana-2190	10	8	simulations	simulation	NOUN
cana-2190	10	9	in	in	ADP
cana-2190	10	10	matlab	matlab	PROPN
cana-2190	10	11	.	.	PUNCT
cana-2190	11	1	the	the	DET
cana-2190	11	2	effectiveness	effectiveness	NOUN
cana-2190	11	3	of	of	ADP
cana-2190	11	4	the	the	DET
cana-2190	11	5	proposed	propose	VERB
cana-2190	11	6	approach	approach	NOUN
cana-2190	11	7	is	be	AUX
cana-2190	11	8	demonstrated	demonstrate	VERB
cana-2190	11	9	through	through	ADP
cana-2190	11	10	simulations	simulation	NOUN
cana-2190	11	11	on	on	ADP
cana-2190	11	12	a	a	DET
cana-2190	11	13	200	200	NUM
cana-2190	11	14	km	km	NOUN
cana-2190	11	15	transmission	transmission	NOUN
cana-2190	11	16	line	line	NOUN
cana-2190	11	17	under	under	ADP
cana-2190	11	18	various	various	ADJ
cana-2190	11	19	fault	fault	NOUN
cana-2190	11	20	conditions	condition	NOUN
cana-2190	11	21	.	.	PUNCT
cana-2190	12	1	the	the	DET
cana-2190	12	2	results	result	NOUN
cana-2190	12	3	indicate	indicate	VERB
cana-2190	12	4	that	that	SCONJ
cana-2190	12	5	the	the	DET
cana-2190	12	6	knn	knn	PROPN
cana-2190	12	7	classifier	classifier	PROPN
cana-2190	12	8	can	can	AUX
cana-2190	12	9	accurately	accurately	ADV
cana-2190	12	10	identify	identify	VERB
cana-2190	12	11	and	and	CCONJ
cana-2190	12	12	categorize	categorize	VERB
cana-2190	12	13	different	different	ADJ
cana-2190	12	14	fault	fault	NOUN
cana-2190	12	15	types	type	NOUN
cana-2190	12	16	,	,	PUNCT
cana-2190	12	17	contributing	contribute	VERB
cana-2190	12	18	to	to	ADP
cana-2190	12	19	improved	improved	ADJ
cana-2190	12	20	system	system	NOUN
cana-2190	12	21	reliability	reliability	NOUN
cana-2190	12	22	and	and	CCONJ
cana-2190	12	23	operational	operational	ADJ
cana-2190	12	24	efficiency	efficiency	NOUN
cana-2190	12	25	.	.	PUNCT
cana-2190	13	1	this	this	DET
cana-2190	13	2	research	research	NOUN
cana-2190	13	3	provides	provide	VERB
cana-2190	13	4	a	a	DET
cana-2190	13	5	promising	promising	ADJ
cana-2190	13	6	solution	solution	NOUN
cana-2190	13	7	for	for	ADP
cana-2190	13	8	enhancing	enhance	VERB
cana-2190	13	9	power	power	NOUN
cana-2190	13	10	system	system	NOUN
cana-2190	13	11	protection	protection	NOUN
cana-2190	13	12	,	,	PUNCT
cana-2190	13	13	enabling	enable	VERB
cana-2190	13	14	timely	timely	ADJ
cana-2190	13	15	fault	fault	NOUN
cana-2190	13	16	detection	detection	NOUN
cana-2190	13	17	and	and	CCONJ
cana-2190	13	18	response	response	NOUN
cana-2190	13	19	,	,	PUNCT
cana-2190	13	20	and	and	CCONJ
cana-2190	13	21	ultimately	ultimately	ADV
cana-2190	13	22	minimizing	minimize	VERB
cana-2190	13	23	system	system	NOUN
cana-2190	13	24	disruptions	disruption	NOUN
cana-2190	13	25	.	.	PUNCT
cana-2190	14	1	keywords	keyword	NOUN
cana-2190	14	2	:	:	PUNCT
cana-2190	14	3	k	k	ADJ
cana-2190	14	4	-	-	PUNCT
cana-2190	14	5	nearest	near	ADJ
cana-2190	14	6	neighbour	neighbour	NOUN
cana-2190	14	7	;	;	PUNCT
cana-2190	14	8	decision	decision	NOUN
cana-2190	14	9	tree	tree	NOUN
cana-2190	14	10	;	;	PUNCT
cana-2190	14	11	support	support	NOUN
cana-2190	14	12	vector	vector	NOUN
cana-2190	14	13	machine	machine	NOUN
cana-2190	14	14	.	.	PUNCT
cana-2190	15	1	1	1	X
cana-2190	15	2	.	.	X
cana-2190	15	3	introduction	introduction	NOUN
cana-2190	15	4	the	the	DET
cana-2190	15	5	increasing	increase	VERB
cana-2190	15	6	global	global	ADJ
cana-2190	15	7	demand	demand	NOUN
cana-2190	15	8	for	for	ADP
cana-2190	15	9	reliable	reliable	ADJ
cana-2190	15	10	and	and	CCONJ
cana-2190	15	11	sustainable	sustainable	ADJ
cana-2190	15	12	energy	energy	NOUN
cana-2190	15	13	has	have	AUX
cana-2190	15	14	increasingly	increasingly	ADV
cana-2190	15	15	stressed	stress	VERB
cana-2190	15	16	power	power	NOUN
cana-2190	15	17	systems	system	NOUN
cana-2190	15	18	.	.	PUNCT
cana-2190	16	1	giving	give	VERB
cana-2190	16	2	people	people	NOUN
cana-2190	16	3	access	access	NOUN
cana-2190	16	4	to	to	ADP
cana-2190	16	5	enough	enough	ADJ
cana-2190	16	6	,	,	PUNCT
cana-2190	16	7	consistent	consistent	ADJ
cana-2190	16	8	power	power	NOUN
cana-2190	16	9	is	be	AUX
cana-2190	16	10	the	the	DET
cana-2190	16	11	primary	primary	ADJ
cana-2190	16	12	goal	goal	NOUN
cana-2190	16	13	of	of	ADP
cana-2190	16	14	every	every	DET
cana-2190	16	15	power	power	NOUN
cana-2190	16	16	system	system	NOUN
cana-2190	16	17	.	.	PUNCT
cana-2190	17	1	faults	fault	NOUN
cana-2190	17	2	,	,	PUNCT
cana-2190	17	3	often	often	ADV
cana-2190	17	4	triggered	trigger	VERB
cana-2190	17	5	by	by	ADP
cana-2190	17	6	natural	natural	ADJ
cana-2190	17	7	events	event	NOUN
cana-2190	17	8	like	like	ADP
cana-2190	17	9	lightning	lightning	NOUN
cana-2190	17	10	or	or	CCONJ
cana-2190	17	11	storms	storm	NOUN
cana-2190	17	12	,	,	PUNCT
cana-2190	17	13	disrupt	disrupt	VERB
cana-2190	17	14	the	the	DET
cana-2190	17	15	normal	normal	ADJ
cana-2190	17	16	flow	flow	NOUN
cana-2190	17	17	of	of	ADP
cana-2190	17	18	electricity	electricity	NOUN
cana-2190	17	19	,	,	PUNCT
cana-2190	17	20	potentially	potentially	ADV
cana-2190	17	21	leading	lead	VERB
cana-2190	17	22	to	to	ADP
cana-2190	17	23	widespread	widespread	ADJ
cana-2190	17	24	power	power	NOUN
cana-2190	17	25	outages	outage	NOUN
cana-2190	17	26	and	and	CCONJ
cana-2190	17	27	damage	damage	NOUN
cana-2190	17	28	to	to	ADP
cana-2190	17	29	infrastructure	infrastructure	NOUN
cana-2190	17	30	.	.	PUNCT
cana-2190	18	1	to	to	PART
cana-2190	18	2	mitigate	mitigate	VERB
cana-2190	18	3	these	these	DET
cana-2190	18	4	risks	risk	NOUN
cana-2190	18	5	,	,	PUNCT
cana-2190	18	6	robust	robust	ADJ
cana-2190	18	7	protection	protection	NOUN
cana-2190	18	8	systems	system	NOUN
cana-2190	18	9	are	be	AUX
cana-2190	18	10	essential	essential	ADJ
cana-2190	18	11	.	.	PUNCT
cana-2190	19	1	several	several	ADJ
cana-2190	19	2	types	type	NOUN
cana-2190	19	3	of	of	ADP
cana-2190	19	4	gearbox	gearbox	NOUN
cana-2190	19	5	line	line	NOUN
cana-2190	19	6	problems	problem	NOUN
cana-2190	19	7	can	can	AUX
cana-2190	19	8	occur	occur	VERB
cana-2190	19	9	like	like	ADP
cana-2190	19	10	three	three	NUM
cana-2190	19	11	-	-	PUNCT
cana-2190	19	12	phase	phase	NOUN
cana-2190	19	13	faults	fault	NOUN
cana-2190	19	14	short	short	ADJ
cana-2190	19	15	circuits	circuit	NOUN
cana-2190	19	16	,	,	PUNCT
cana-2190	19	17	line	line	NOUN
cana-2190	19	18	-	-	PUNCT
cana-2190	19	19	to	to	ADP
cana-2190	19	20	-	-	PUNCT
cana-2190	19	21	line	line	NOUN
cana-2190	19	22	faults	fault	NOUN
cana-2190	19	23	or	or	CCONJ
cana-2190	19	24	line	line	NOUN
cana-2190	19	25	-	-	PUNCT
cana-2190	19	26	to	to	ADP
cana-2190	19	27	-	-	PUNCT
cana-2190	19	28	ground	ground	NOUN
cana-2190	19	29	faults	fault	NOUN
cana-2190	19	30	.	.	PUNCT
cana-2190	20	1	these	these	DET
cana-2190	20	2	faults	fault	NOUN
cana-2190	20	3	can	can	AUX
cana-2190	20	4	lead	lead	VERB
cana-2190	20	5	to	to	ADP
cana-2190	20	6	damage	damage	NOUN
cana-2190	20	7	to	to	ADP
cana-2190	20	8	insulation	insulation	NOUN
cana-2190	20	9	and	and	CCONJ
cana-2190	20	10	other	other	ADJ
cana-2190	20	11	critical	critical	ADJ
cana-2190	20	12	components	component	NOUN
cana-2190	20	13	,	,	PUNCT
cana-2190	20	14	maloperation	maloperation	NOUN
cana-2190	20	15	of	of	ADP
cana-2190	20	16	protective	protective	ADJ
cana-2190	20	17	relays	relay	NOUN
cana-2190	20	18	,	,	PUNCT
cana-2190	20	19	cascading	cascade	VERB
cana-2190	20	20	failures	failure	NOUN
cana-2190	20	21	,	,	PUNCT
cana-2190	20	22	affecting	affect	VERB
cana-2190	20	23	multiple	multiple	ADJ
cana-2190	20	24	components	component	NOUN
cana-2190	20	25	and	and	CCONJ
cana-2190	20	26	systems	system	NOUN
cana-2190	20	27	.	.	PUNCT
cana-2190	21	1	mailto:debshree.bhattacharya@gmail.com	mailto:debshree.bhattacharya@gmail.com	PROPN
cana-2190	21	2	mailto:rejo.roy@rungta.ac.in	mailto:rejo.roy@rungta.ac.in	PROPN
cana-2190	21	3	communications	communication	NOUN
cana-2190	21	4	on	on	ADP
cana-2190	21	5	applied	apply	VERB
cana-2190	21	6	nonlinear	nonlinear	ADJ
cana-2190	21	7	analysis	analysis	NOUN
cana-2190	21	8	issn	issn	NOUN
cana-2190	21	9	:	:	PUNCT
cana-2190	21	10	1074	1074	NUM
cana-2190	21	11	-	-	PUNCT
cana-2190	21	12	133x	133x	NUM
cana-2190	21	13	vol	vol	NOUN
cana-2190	21	14	32	32	NUM
cana-2190	21	15	no	no	NOUN
cana-2190	21	16	.	.	PUNCT
cana-2190	22	1	1s	1s	NUM
cana-2190	22	2	(	(	PUNCT
cana-2190	22	3	2025	2025	NUM
cana-2190	22	4	)	)	PUNCT
cana-2190	22	5	347	347	NUM
cana-2190	22	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	22	7	traditional	traditional	ADJ
cana-2190	22	8	protection	protection	NOUN
cana-2190	22	9	systems	system	NOUN
cana-2190	22	10	,	,	PUNCT
cana-2190	22	11	while	while	SCONJ
cana-2190	22	12	effective	effective	ADJ
cana-2190	22	13	,	,	PUNCT
cana-2190	22	14	often	often	ADV
cana-2190	22	15	rely	rely	VERB
cana-2190	22	16	on	on	ADP
cana-2190	22	17	fixed	fix	VERB
cana-2190	22	18	thresholds	threshold	NOUN
cana-2190	22	19	and	and	CCONJ
cana-2190	22	20	time	time	NOUN
cana-2190	22	21	delays	delay	NOUN
cana-2190	22	22	.	.	PUNCT
cana-2190	23	1	these	these	DET
cana-2190	23	2	methods	method	NOUN
cana-2190	23	3	may	may	AUX
cana-2190	23	4	struggle	struggle	VERB
cana-2190	23	5	to	to	PART
cana-2190	23	6	adapt	adapt	VERB
cana-2190	23	7	to	to	ADP
cana-2190	23	8	changing	change	VERB
cana-2190	23	9	system	system	NOUN
cana-2190	23	10	conditions	condition	NOUN
cana-2190	23	11	and	and	CCONJ
cana-2190	23	12	emerging	emerge	VERB
cana-2190	23	13	fault	fault	NOUN
cana-2190	23	14	types	type	NOUN
cana-2190	23	15	.	.	PUNCT
cana-2190	24	1	machine	machine	NOUN
cana-2190	24	2	learning	learning	NOUN
cana-2190	24	3	offers	offer	VERB
cana-2190	24	4	a	a	DET
cana-2190	24	5	promising	promising	ADJ
cana-2190	24	6	solution	solution	NOUN
cana-2190	24	7	to	to	PART
cana-2190	24	8	address	address	VERB
cana-2190	24	9	the	the	DET
cana-2190	24	10	limitations	limitation	NOUN
cana-2190	24	11	of	of	ADP
cana-2190	24	12	traditional	traditional	ADJ
cana-2190	24	13	methods	method	NOUN
cana-2190	24	14	.	.	PUNCT
cana-2190	25	1	it	it	PRON
cana-2190	25	2	is	be	AUX
cana-2190	25	3	critical	critical	ADJ
cana-2190	25	4	to	to	PART
cana-2190	25	5	devise	devise	VERB
cana-2190	25	6	a	a	DET
cana-2190	25	7	coordinated	coordinated	ADJ
cana-2190	25	8	control	control	NOUN
cana-2190	25	9	and	and	CCONJ
cana-2190	25	10	protection	protection	NOUN
cana-2190	25	11	systems	system	NOUN
cana-2190	25	12	capable	capable	ADJ
cana-2190	25	13	of	of	ADP
cana-2190	25	14	correctly	correctly	ADV
cana-2190	25	15	and	and	CCONJ
cana-2190	25	16	efficiently	efficiently	ADV
cana-2190	25	17	tracking	track	VERB
cana-2190	25	18	any	any	DET
cana-2190	25	19	system	system	NOUN
cana-2190	25	20	-	-	PUNCT
cana-2190	25	21	wide	wide	ADJ
cana-2190	25	22	abnormalities	abnormality	NOUN
cana-2190	25	23	and	and	CCONJ
cana-2190	25	24	intervene	intervene	VERB
cana-2190	25	25	in	in	ADP
cana-2190	25	26	a	a	DET
cana-2190	25	27	timely	timely	ADJ
cana-2190	25	28	manner	manner	NOUN
cana-2190	25	29	to	to	PART
cana-2190	25	30	avoid	avoid	VERB
cana-2190	25	31	further	further	ADJ
cana-2190	25	32	harm	harm	NOUN
cana-2190	25	33	to	to	ADP
cana-2190	25	34	the	the	DET
cana-2190	25	35	system	system	NOUN
cana-2190	25	36	and	and	CCONJ
cana-2190	25	37	its	its	PRON
cana-2190	25	38	components	component	NOUN
cana-2190	25	39	.	.	PUNCT
cana-2190	26	1	to	to	PART
cana-2190	26	2	optimize	optimize	VERB
cana-2190	26	3	power	power	NOUN
cana-2190	26	4	quality	quality	NOUN
cana-2190	26	5	,	,	PUNCT
cana-2190	26	6	grid	grid	NOUN
cana-2190	26	7	stability	stability	NOUN
cana-2190	26	8	,	,	PUNCT
cana-2190	26	9	and	and	CCONJ
cana-2190	26	10	energy	energy	NOUN
cana-2190	26	11	utilization	utilization	NOUN
cana-2190	26	12	,	,	PUNCT
cana-2190	26	13	renewable	renewable	ADJ
cana-2190	26	14	energy	energy	NOUN
cana-2190	26	15	sources	source	NOUN
cana-2190	26	16	require	require	VERB
cana-2190	26	17	synchronization	synchronization	NOUN
cana-2190	26	18	techniques	technique	NOUN
cana-2190	26	19	.	.	PUNCT
cana-2190	27	1	phase	phase	NOUN
cana-2190	27	2	-	-	PUNCT
cana-2190	27	3	locked	lock	VERB
cana-2190	27	4	loops	loop	NOUN
cana-2190	27	5	(	(	PUNCT
cana-2190	27	6	plls	pll	NOUN
cana-2190	27	7	)	)	PUNCT
cana-2190	27	8	are	be	AUX
cana-2190	27	9	a	a	DET
cana-2190	27	10	key	key	ADJ
cana-2190	27	11	technology	technology	NOUN
cana-2190	27	12	for	for	ADP
cana-2190	27	13	aligning	align	VERB
cana-2190	27	14	the	the	DET
cana-2190	27	15	frequency	frequency	NOUN
cana-2190	27	16	and	and	CCONJ
cana-2190	27	17	phase	phase	NOUN
cana-2190	27	18	of	of	ADP
cana-2190	27	19	pv	pv	NOUN
cana-2190	27	20	-	-	PUNCT
cana-2190	27	21	based	base	VERB
cana-2190	27	22	systems	system	NOUN
cana-2190	27	23	with	with	ADP
cana-2190	27	24	the	the	DET
cana-2190	27	25	grid	grid	NOUN
cana-2190	27	26	,	,	PUNCT
cana-2190	27	27	enabling	enable	VERB
cana-2190	27	28	uninterrupted	uninterrupted	ADJ
cana-2190	27	29	power	power	NOUN
cana-2190	27	30	supply	supply	NOUN
cana-2190	27	31	.	.	PUNCT
cana-2190	28	1	[	[	X
cana-2190	28	2	1	1	NUM
cana-2190	28	3	]	]	PUNCT
cana-2190	28	4	applications	application	NOUN
cana-2190	28	5	of	of	ADP
cana-2190	28	6	machine	machine	NOUN
cana-2190	28	7	learning	learn	VERB
cana-2190	28	8	in	in	ADP
cana-2190	28	9	power	power	NOUN
cana-2190	28	10	system	system	NOUN
cana-2190	28	11	protection	protection	NOUN
cana-2190	28	12	since	since	SCONJ
cana-2190	28	13	current	current	ADJ
cana-2190	28	14	protection	protection	NOUN
cana-2190	28	15	techniques	technique	NOUN
cana-2190	28	16	accomplish	accomplish	VERB
cana-2190	28	17	their	their	PRON
cana-2190	28	18	primary	primary	ADJ
cana-2190	28	19	goal	goal	NOUN
cana-2190	28	20	,	,	PUNCT
cana-2190	28	21	researchers	researcher	NOUN
cana-2190	28	22	are	be	AUX
cana-2190	28	23	concentrating	concentrate	VERB
cana-2190	28	24	on	on	ADP
cana-2190	28	25	improving	improve	VERB
cana-2190	28	26	accuracy	accuracy	NOUN
cana-2190	28	27	,	,	PUNCT
cana-2190	28	28	decreasing	decrease	VERB
cana-2190	28	29	operating	operating	NOUN
cana-2190	28	30	time	time	NOUN
cana-2190	28	31	,	,	PUNCT
cana-2190	28	32	and	and	CCONJ
cana-2190	28	33	automating	automate	VERB
cana-2190	28	34	the	the	DET
cana-2190	28	35	protection	protection	NOUN
cana-2190	28	36	process	process	NOUN
cana-2190	28	37	.	.	PUNCT
cana-2190	29	1	fault	fault	VERB
cana-2190	29	2	classification	classification	NOUN
cana-2190	29	3	and	and	CCONJ
cana-2190	29	4	detection	detection	NOUN
cana-2190	29	5	:	:	PUNCT
cana-2190	29	6	taking	take	VERB
cana-2190	29	7	into	into	ADP
cana-2190	29	8	account	account	NOUN
cana-2190	29	9	a	a	DET
cana-2190	29	10	wide	wide	ADJ
cana-2190	29	11	range	range	NOUN
cana-2190	29	12	of	of	ADP
cana-2190	29	13	challenges	challenge	NOUN
cana-2190	29	14	and	and	CCONJ
cana-2190	29	15	operating	operating	NOUN
cana-2190	29	16	circumstances	circumstance	NOUN
cana-2190	29	17	an	an	DET
cana-2190	29	18	ann	ann	PROPN
cana-2190	29	19	-	-	PUNCT
cana-2190	29	20	based	base	VERB
cana-2190	29	21	machine	machine	NOUN
cana-2190	29	22	learning	learn	VERB
cana-2190	29	23	approach	approach	NOUN
cana-2190	29	24	can	can	AUX
cana-2190	29	25	also	also	ADV
cana-2190	29	26	be	be	AUX
cana-2190	29	27	used	use	VERB
cana-2190	29	28	for	for	ADP
cana-2190	29	29	power	power	NOUN
cana-2190	29	30	system	system	NOUN
cana-2190	29	31	failure	failure	NOUN
cana-2190	29	32	analysis	analysis	NOUN
cana-2190	30	1	[	[	X
cana-2190	30	2	2	2	NUM
cana-2190	30	3	]	]	PUNCT
cana-2190	30	4	.	.	PUNCT
cana-2190	31	1	multi	multi	ADJ
cana-2190	31	2	-	-	ADJ
cana-2190	31	3	label	label	ADJ
cana-2190	31	4	classification	classification	NOUN
cana-2190	31	5	,	,	PUNCT
cana-2190	31	6	specifically	specifically	ADV
cana-2190	31	7	the	the	DET
cana-2190	31	8	binary	binary	ADJ
cana-2190	31	9	relevance	relevance	NOUN
cana-2190	31	10	method	method	NOUN
cana-2190	31	11	,	,	PUNCT
cana-2190	31	12	offers	offer	VERB
cana-2190	31	13	a	a	DET
cana-2190	31	14	powerful	powerful	ADJ
cana-2190	31	15	approach	approach	NOUN
cana-2190	31	16	to	to	ADP
cana-2190	31	17	detecting	detect	VERB
cana-2190	31	18	and	and	CCONJ
cana-2190	31	19	classifying	classify	VERB
cana-2190	31	20	multiple	multiple	ADJ
cana-2190	31	21	faults	fault	NOUN
cana-2190	31	22	concurrently	concurrently	ADV
cana-2190	31	23	.	.	PUNCT
cana-2190	32	1	by	by	ADP
cana-2190	32	2	employing	employ	VERB
cana-2190	32	3	individual	individual	ADJ
cana-2190	32	4	binary	binary	ADJ
cana-2190	32	5	classifiers	classifier	NOUN
cana-2190	32	6	for	for	ADP
cana-2190	32	7	each	each	DET
cana-2190	32	8	label	label	NOUN
cana-2190	32	9	,	,	PUNCT
cana-2190	32	10	this	this	DET
cana-2190	32	11	technique	technique	NOUN
cana-2190	32	12	efficiently	efficiently	ADV
cana-2190	32	13	handles	handle	VERB
cana-2190	32	14	complex	complex	ADJ
cana-2190	32	15	fault	fault	NOUN
cana-2190	32	16	scenarios	scenario	NOUN
cana-2190	32	17	.	.	PUNCT
cana-2190	33	1	[	[	X
cana-2190	33	2	3	3	X
cana-2190	33	3	]	]	PUNCT
cana-2190	33	4	anomaly	anomaly	NOUN
cana-2190	33	5	detection	detection	NOUN
cana-2190	33	6	:	:	PUNCT
cana-2190	33	7	a	a	DET
cana-2190	33	8	semi	semi	ADJ
cana-2190	33	9	-	-	ADJ
cana-2190	33	10	supervised	supervised	ADJ
cana-2190	33	11	learning	learning	NOUN
cana-2190	33	12	method	method	NOUN
cana-2190	33	13	is	be	AUX
cana-2190	33	14	becoming	become	VERB
cana-2190	33	15	more	more	ADV
cana-2190	33	16	popular	popular	ADJ
cana-2190	33	17	since	since	SCONJ
cana-2190	33	18	it	it	PRON
cana-2190	33	19	can	can	AUX
cana-2190	33	20	effectively	effectively	ADV
cana-2190	33	21	handle	handle	VERB
cana-2190	33	22	both	both	PRON
cana-2190	33	23	labelled	label	VERB
cana-2190	33	24	and	and	CCONJ
cana-2190	33	25	unlabelled	unlabelled	ADJ
cana-2190	33	26	data	datum	NOUN
cana-2190	33	27	.	.	PUNCT
cana-2190	34	1	various	various	ADJ
cana-2190	34	2	types	type	NOUN
cana-2190	34	3	of	of	ADP
cana-2190	34	4	transmission	transmission	NOUN
cana-2190	34	5	line	line	NOUN
cana-2190	34	6	problems	problem	NOUN
cana-2190	34	7	can	can	AUX
cana-2190	34	8	be	be	AUX
cana-2190	34	9	detected	detect	VERB
cana-2190	34	10	and	and	CCONJ
cana-2190	34	11	classified	classify	VERB
cana-2190	34	12	using	use	VERB
cana-2190	34	13	the	the	DET
cana-2190	34	14	semi	semi	ADJ
cana-2190	34	15	-	-	ADJ
cana-2190	34	16	supervised	supervised	ADJ
cana-2190	34	17	learning	learning	NOUN
cana-2190	34	18	technique	technique	NOUN
cana-2190	34	19	[	[	X
cana-2190	34	20	4	4	NUM
cana-2190	34	21	]	]	PUNCT
cana-2190	34	22	.	.	PUNCT
cana-2190	35	1	real	real	ADJ
cana-2190	35	2	-	-	PUNCT
cana-2190	35	3	time	time	NOUN
cana-2190	35	4	monitoring	monitoring	NOUN
cana-2190	35	5	and	and	CCONJ
cana-2190	35	6	control	control	NOUN
cana-2190	35	7	:	:	PUNCT
cana-2190	35	8	this	this	DET
cana-2190	35	9	study	study	NOUN
cana-2190	35	10	compares	compare	VERB
cana-2190	35	11	the	the	DET
cana-2190	35	12	performance	performance	NOUN
cana-2190	35	13	of	of	ADP
cana-2190	35	14	k	k	NOUN
cana-2190	35	15	-	-	PUNCT
cana-2190	35	16	nearest	near	ADJ
cana-2190	35	17	neighbors	neighbor	NOUN
cana-2190	35	18	(	(	PUNCT
cana-2190	35	19	knn	knn	PROPN
cana-2190	35	20	)	)	PUNCT
cana-2190	35	21	and	and	CCONJ
cana-2190	35	22	decision	decision	NOUN
cana-2190	35	23	trees	tree	NOUN
cana-2190	35	24	(	(	PUNCT
cana-2190	35	25	dt	dt	NOUN
cana-2190	35	26	)	)	PUNCT
cana-2190	35	27	in	in	ADP
cana-2190	35	28	semi	semi	ADJ
cana-2190	35	29	-	-	ADJ
cana-2190	35	30	supervised	supervised	ADJ
cana-2190	35	31	classification	classification	NOUN
cana-2190	35	32	tasks	task	NOUN
cana-2190	35	33	.	.	PUNCT
cana-2190	36	1	semi	semi	ADJ
cana-2190	36	2	-	-	ADJ
cana-2190	36	3	supervised	supervised	ADJ
cana-2190	36	4	learning	learning	NOUN
cana-2190	36	5	has	have	AUX
cana-2190	36	6	found	find	VERB
cana-2190	36	7	applications	application	NOUN
cana-2190	36	8	in	in	ADP
cana-2190	36	9	various	various	ADJ
cana-2190	36	10	domains	domain	NOUN
cana-2190	36	11	,	,	PUNCT
cana-2190	36	12	such	such	ADJ
cana-2190	36	13	as	as	ADP
cana-2190	36	14	innovative	innovative	ADJ
cana-2190	36	15	home	home	NOUN
cana-2190	36	16	load	load	NOUN
cana-2190	36	17	control	control	NOUN
cana-2190	37	1	[	[	X
cana-2190	37	2	5	5	NUM
cana-2190	37	3	]	]	PUNCT
cana-2190	37	4	and	and	CCONJ
cana-2190	37	5	hvac	hvac	PROPN
cana-2190	37	6	system	system	NOUN
cana-2190	37	7	protection	protection	NOUN
cana-2190	37	8	[	[	X
cana-2190	37	9	6	6	NUM
cana-2190	37	10	]	]	PUNCT
cana-2190	37	11	.	.	PUNCT
cana-2190	38	1	knn	knn	PROPN
cana-2190	38	2	is	be	AUX
cana-2190	38	3	used	use	VERB
cana-2190	38	4	to	to	PART
cana-2190	38	5	identify	identify	VERB
cana-2190	38	6	and	and	CCONJ
cana-2190	38	7	categorise	categorise	VERB
cana-2190	38	8	anomalies	anomaly	NOUN
cana-2190	38	9	in	in	ADP
cana-2190	38	10	malfunctioning	malfunction	VERB
cana-2190	38	11	events	event	NOUN
cana-2190	38	12	,	,	PUNCT
cana-2190	38	13	so	so	SCONJ
cana-2190	38	14	that	that	SCONJ
cana-2190	38	15	safe	safe	ADJ
cana-2190	38	16	operation	operation	NOUN
cana-2190	38	17	of	of	ADP
cana-2190	38	18	transmission	transmission	NOUN
cana-2190	38	19	lines	line	NOUN
cana-2190	38	20	is	be	AUX
cana-2190	38	21	ensured	ensure	VERB
cana-2190	38	22	by	by	ADP
cana-2190	38	23	[	[	X
cana-2190	38	24	7	7	NUM
cana-2190	38	25	]	]	PUNCT
cana-2190	38	26	.	.	PUNCT
cana-2190	39	1	hybrid	hybrid	ADJ
cana-2190	39	2	approach	approach	NOUN
cana-2190	39	3	:	:	PUNCT
cana-2190	39	4	for	for	ADP
cana-2190	39	5	the	the	DET
cana-2190	39	6	purpose	purpose	NOUN
cana-2190	39	7	of	of	ADP
cana-2190	39	8	analysing	analyse	VERB
cana-2190	39	9	and	and	CCONJ
cana-2190	39	10	predicting	predict	VERB
cana-2190	39	11	transmission	transmission	NOUN
cana-2190	39	12	line	line	NOUN
cana-2190	39	13	faults	fault	NOUN
cana-2190	39	14	,	,	PUNCT
cana-2190	39	15	a	a	DET
cana-2190	39	16	hybrid	hybrid	NOUN
cana-2190	39	17	of	of	ADP
cana-2190	39	18	knn	knn	PROPN
cana-2190	39	19	and	and	CCONJ
cana-2190	39	20	fuzzy	fuzzy	ADJ
cana-2190	39	21	logic	logic	NOUN
cana-2190	39	22	can	can	AUX
cana-2190	39	23	also	also	ADV
cana-2190	39	24	be	be	AUX
cana-2190	39	25	employed	employ	VERB
cana-2190	39	26	[	[	X
cana-2190	39	27	8	8	NUM
cana-2190	39	28	]	]	PUNCT
cana-2190	39	29	.	.	PUNCT
cana-2190	40	1	to	to	PART
cana-2190	40	2	improve	improve	VERB
cana-2190	40	3	power	power	NOUN
cana-2190	40	4	quality	quality	NOUN
cana-2190	40	5	and	and	CCONJ
cana-2190	40	6	system	system	NOUN
cana-2190	40	7	efficiency	efficiency	NOUN
cana-2190	40	8	,	,	PUNCT
cana-2190	40	9	hybrid	hybrid	ADJ
cana-2190	40	10	control	control	NOUN
cana-2190	40	11	methods	method	NOUN
cana-2190	40	12	,	,	PUNCT
cana-2190	40	13	integrating	integrate	VERB
cana-2190	40	14	fuzzy	fuzzy	ADJ
cana-2190	40	15	logic	logic	NOUN
cana-2190	40	16	and	and	CCONJ
cana-2190	40	17	artificial	artificial	ADJ
cana-2190	40	18	neural	neural	ADJ
cana-2190	40	19	networks	network	NOUN
cana-2190	40	20	,	,	PUNCT
cana-2190	40	21	can	can	AUX
cana-2190	40	22	be	be	AUX
cana-2190	40	23	used	use	VERB
cana-2190	40	24	to	to	PART
cana-2190	40	25	reduce	reduce	VERB
cana-2190	40	26	harmonics	harmonic	NOUN
cana-2190	40	27	in	in	ADP
cana-2190	40	28	pv	pv	NOUN
cana-2190	40	29	systems	system	NOUN
cana-2190	40	30	.	.	PUNCT
cana-2190	41	1	[	[	X
cana-2190	41	2	9	9	NUM
cana-2190	41	3	]	]	PUNCT
cana-2190	41	4	for	for	ADP
cana-2190	41	5	robust	robust	ADJ
cana-2190	41	6	transmission	transmission	NOUN
cana-2190	41	7	line	line	NOUN
cana-2190	41	8	protection	protection	NOUN
cana-2190	41	9	,	,	PUNCT
cana-2190	41	10	a	a	DET
cana-2190	41	11	combination	combination	NOUN
cana-2190	41	12	of	of	ADP
cana-2190	41	13	dwt	dwt	NOUN
cana-2190	41	14	and	and	CCONJ
cana-2190	41	15	knn	knn	PROPN
cana-2190	41	16	algorithms	algorithms	PROPN
cana-2190	41	17	is	be	AUX
cana-2190	41	18	a	a	DET
cana-2190	41	19	promising	promising	ADJ
cana-2190	41	20	solution	solution	NOUN
cana-2190	41	21	.	.	PUNCT
cana-2190	42	1	[	[	X
cana-2190	42	2	10][11	10][11	X
cana-2190	42	3	]	]	PUNCT
cana-2190	42	4	additionally	additionally	ADV
cana-2190	42	5	,	,	PUNCT
cana-2190	42	6	knn	knn	VERB
cana-2190	42	7	-	-	PUNCT
cana-2190	42	8	based	base	VERB
cana-2190	42	9	techniques	technique	NOUN
cana-2190	42	10	have	have	AUX
cana-2190	42	11	been	be	AUX
cana-2190	42	12	successfully	successfully	ADV
cana-2190	42	13	applied	apply	VERB
cana-2190	42	14	to	to	PART
cana-2190	42	15	protect	protect	VERB
cana-2190	42	16	intricate	intricate	ADJ
cana-2190	42	17	six	six	NUM
cana-2190	42	18	-	-	PUNCT
cana-2190	42	19	phase	phase	NOUN
cana-2190	42	20	transmission	transmission	NOUN
cana-2190	42	21	lines	line	NOUN
cana-2190	42	22	,	,	PUNCT
cana-2190	42	23	enhancing	enhance	VERB
cana-2190	42	24	power	power	NOUN
cana-2190	42	25	system	system	NOUN
cana-2190	42	26	reliability	reliability	NOUN
cana-2190	42	27	.	.	PUNCT
cana-2190	43	1	[	[	X
cana-2190	43	2	12	12	NUM
cana-2190	43	3	]	]	SYM
cana-2190	43	4	2	2	NUM
cana-2190	43	5	.	.	X
cana-2190	44	1	k	k	X
cana-2190	44	2	-	-	PUNCT
cana-2190	44	3	nearest	near	ADJ
cana-2190	44	4	neighbors	neighbor	NOUN
cana-2190	44	5	(	(	PUNCT
cana-2190	44	6	knn	knn	PROPN
cana-2190	44	7	)	)	PUNCT
cana-2190	44	8	algorithm	algorithm	PROPN
cana-2190	44	9	knn	knn	PROPN
cana-2190	44	10	is	be	AUX
cana-2190	44	11	a	a	DET
cana-2190	44	12	semi	semi	ADJ
cana-2190	44	13	-	-	ADJ
cana-2190	44	14	supervised	supervised	ADJ
cana-2190	44	15	learning	learning	NOUN
cana-2190	44	16	algorithm	algorithm	NOUN
cana-2190	44	17	that	that	PRON
cana-2190	44	18	leverages	leverage	VERB
cana-2190	44	19	a	a	DET
cana-2190	44	20	small	small	ADJ
cana-2190	44	21	labelled	label	VERB
cana-2190	44	22	dataset	dataset	NOUN
cana-2190	44	23	to	to	PART
cana-2190	44	24	classify	classify	VERB
cana-2190	44	25	unlabelled	unlabelled	ADJ
cana-2190	44	26	data	datum	NOUN
cana-2190	44	27	.	.	PUNCT
cana-2190	45	1	this	this	DET
cana-2190	45	2	approach	approach	NOUN
cana-2190	45	3	efficiently	efficiently	ADV
cana-2190	45	4	reduces	reduce	VERB
cana-2190	45	5	the	the	DET
cana-2190	45	6	initial	initial	ADJ
cana-2190	45	7	data	datum	NOUN
cana-2190	45	8	requirements	requirement	NOUN
cana-2190	45	9	and	and	CCONJ
cana-2190	45	10	eliminates	eliminate	VERB
cana-2190	45	11	the	the	DET
cana-2190	45	12	need	need	NOUN
cana-2190	45	13	for	for	ADP
cana-2190	45	14	extensive	extensive	ADJ
cana-2190	45	15	classifier	classifier	NOUN
cana-2190	45	16	training	training	NOUN
cana-2190	45	17	.	.	PUNCT
cana-2190	46	1	by	by	ADP
cana-2190	46	2	incorporating	incorporate	VERB
cana-2190	46	3	new	new	ADJ
cana-2190	46	4	labelled	label	VERB
cana-2190	46	5	data	datum	NOUN
cana-2190	46	6	into	into	ADP
cana-2190	46	7	the	the	DET
cana-2190	46	8	training	training	NOUN
cana-2190	46	9	set	set	NOUN
cana-2190	46	10	,	,	PUNCT
cana-2190	46	11	knn	knn	PROPN
cana-2190	46	12	can	can	AUX
cana-2190	46	13	adapt	adapt	VERB
cana-2190	46	14	and	and	CCONJ
cana-2190	46	15	improve	improve	VERB
cana-2190	46	16	its	its	PRON
cana-2190	46	17	classification	classification	NOUN
cana-2190	46	18	accuracy	accuracy	NOUN
cana-2190	46	19	over	over	ADP
cana-2190	46	20	time	time	NOUN
cana-2190	46	21	.	.	PUNCT
cana-2190	47	1	communications	communication	NOUN
cana-2190	47	2	on	on	ADP
cana-2190	47	3	applied	apply	VERB
cana-2190	47	4	nonlinear	nonlinear	ADJ
cana-2190	47	5	analysis	analysis	NOUN
cana-2190	47	6	issn	issn	NOUN
cana-2190	47	7	:	:	PUNCT
cana-2190	47	8	1074	1074	NUM
cana-2190	47	9	-	-	PUNCT
cana-2190	47	10	133x	133x	NUM
cana-2190	47	11	vol	vol	NOUN
cana-2190	47	12	32	32	NUM
cana-2190	47	13	no	no	NOUN
cana-2190	47	14	.	.	PUNCT
cana-2190	48	1	1s	1s	NUM
cana-2190	48	2	(	(	PUNCT
cana-2190	48	3	2025	2025	NUM
cana-2190	48	4	)	)	PUNCT
cana-2190	48	5	348	348	NUM
cana-2190	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	48	7	nonlinear	nonlinear	ADJ
cana-2190	48	8	optimization	optimization	NOUN
cana-2190	48	9	techniques	technique	NOUN
cana-2190	48	10	,	,	PUNCT
cana-2190	48	11	particularly	particularly	ADV
cana-2190	48	12	through	through	ADP
cana-2190	48	13	semi	semi	ADJ
cana-2190	48	14	-	-	ADJ
cana-2190	48	15	supervised	supervised	ADJ
cana-2190	48	16	learning	learning	NOUN
cana-2190	48	17	approaches	approach	NOUN
cana-2190	48	18	like	like	ADP
cana-2190	48	19	knearest	knearest	NOUN
cana-2190	48	20	neighbors	neighbor	NOUN
cana-2190	48	21	(	(	PUNCT
cana-2190	48	22	knn	knn	PROPN
cana-2190	48	23	)	)	PUNCT
cana-2190	48	24	,	,	PUNCT
cana-2190	48	25	have	have	AUX
cana-2190	48	26	shown	show	VERB
cana-2190	48	27	promise	promise	NOUN
cana-2190	48	28	in	in	ADP
cana-2190	48	29	enhancing	enhance	VERB
cana-2190	48	30	fault	fault	NOUN
cana-2190	48	31	detection	detection	NOUN
cana-2190	48	32	and	and	CCONJ
cana-2190	48	33	classification	classification	NOUN
cana-2190	48	34	in	in	ADP
cana-2190	48	35	power	power	NOUN
cana-2190	48	36	systems	system	NOUN
cana-2190	48	37	.	.	PUNCT
cana-2190	49	1	these	these	DET
cana-2190	49	2	methods	method	NOUN
cana-2190	49	3	effectively	effectively	ADV
cana-2190	49	4	utilize	utilize	VERB
cana-2190	49	5	both	both	DET
cana-2190	49	6	labelled	label	VERB
cana-2190	49	7	and	and	CCONJ
cana-2190	49	8	unlabelled	unlabelled	ADJ
cana-2190	49	9	data	datum	NOUN
cana-2190	49	10	,	,	PUNCT
cana-2190	49	11	addressing	address	VERB
cana-2190	49	12	the	the	DET
cana-2190	49	13	challenges	challenge	NOUN
cana-2190	49	14	posed	pose	VERB
cana-2190	49	15	by	by	ADP
cana-2190	49	16	limited	limited	ADJ
cana-2190	49	17	labelled	label	VERB
cana-2190	49	18	datasets	dataset	NOUN
cana-2190	49	19	in	in	ADP
cana-2190	49	20	complex	complex	ADJ
cana-2190	49	21	power	power	NOUN
cana-2190	49	22	grid	grid	NOUN
cana-2190	49	23	environments	environment	NOUN
cana-2190	49	24	.	.	PUNCT
cana-2190	50	1	the	the	DET
cana-2190	50	2	key	key	ADJ
cana-2190	50	3	aspects	aspect	NOUN
cana-2190	50	4	of	of	ADP
cana-2190	50	5	semi	semi	ADJ
cana-2190	50	6	-	-	ADJ
cana-2190	50	7	supervised	supervised	ADJ
cana-2190	50	8	learning	learning	NOUN
cana-2190	50	9	framework	framework	NOUN
cana-2190	50	10	are	be	AUX
cana-2190	50	11	:	:	PUNCT
cana-2190	50	12	•	•	ADV
cana-2190	50	13	semi	semi	ADJ
cana-2190	50	14	-	-	ADJ
cana-2190	50	15	supervised	supervised	ADJ
cana-2190	50	16	learning	learning	NOUN
cana-2190	50	17	leverages	leverage	NOUN
cana-2190	50	18	a	a	DET
cana-2190	50	19	limited	limited	ADJ
cana-2190	50	20	amount	amount	NOUN
cana-2190	50	21	of	of	ADP
cana-2190	50	22	labelled	label	VERB
cana-2190	50	23	data	datum	NOUN
cana-2190	50	24	in	in	ADP
cana-2190	50	25	conjunction	conjunction	NOUN
cana-2190	50	26	with	with	ADP
cana-2190	50	27	a	a	DET
cana-2190	50	28	larger	large	ADJ
cana-2190	50	29	unlabelled	unlabelled	ADJ
cana-2190	50	30	dataset	dataset	NOUN
cana-2190	50	31	to	to	PART
cana-2190	50	32	enhance	enhance	VERB
cana-2190	50	33	model	model	NOUN
cana-2190	50	34	generalization	generalization	NOUN
cana-2190	50	35	across	across	ADP
cana-2190	50	36	diverse	diverse	ADJ
cana-2190	50	37	fault	fault	NOUN
cana-2190	50	38	scenarios	scenario	NOUN
cana-2190	50	39	.	.	PUNCT
cana-2190	51	1	[	[	X
cana-2190	51	2	13	13	NUM
cana-2190	51	3	]	]	SYM
cana-2190	51	4	•	•	NUM
cana-2190	51	5	techniques	technique	NOUN
cana-2190	51	6	such	such	ADJ
cana-2190	51	7	as	as	ADP
cana-2190	51	8	knn	knn	PROPN
cana-2190	51	9	can	can	AUX
cana-2190	51	10	classify	classify	VERB
cana-2190	51	11	faults	fault	NOUN
cana-2190	51	12	by	by	ADP
cana-2190	51	13	calculating	calculate	VERB
cana-2190	51	14	distances	distance	NOUN
cana-2190	51	15	between	between	ADP
cana-2190	51	16	labelled	label	VERB
cana-2190	51	17	and	and	CCONJ
cana-2190	51	18	unlabelled	unlabelled	ADJ
cana-2190	51	19	samples	sample	NOUN
cana-2190	51	20	,	,	PUNCT
cana-2190	51	21	achieving	achieve	VERB
cana-2190	51	22	high	high	ADJ
cana-2190	51	23	accuracy	accuracy	NOUN
cana-2190	51	24	rates	rate	NOUN
cana-2190	51	25	(	(	PUNCT
cana-2190	51	26	up	up	ADP
cana-2190	51	27	to	to	PART
cana-2190	51	28	97	97	NUM
cana-2190	51	29	%	%	NOUN
cana-2190	51	30	)	)	PUNCT
cana-2190	51	31	in	in	ADP
cana-2190	51	32	fault	fault	NOUN
cana-2190	51	33	detection	detection	NOUN
cana-2190	51	34	[	[	X
cana-2190	51	35	14	14	NUM
cana-2190	51	36	]	]	SYM
cana-2190	51	37	•	•	NOUN
cana-2190	51	38	advanced	advance	VERB
cana-2190	51	39	feature	feature	NOUN
cana-2190	51	40	extraction	extraction	NOUN
cana-2190	51	41	methods	method	NOUN
cana-2190	51	42	,	,	PUNCT
cana-2190	51	43	including	include	VERB
cana-2190	51	44	wavelet	wavelet	NOUN
cana-2190	51	45	packet	packet	NOUN
cana-2190	51	46	analysis	analysis	NOUN
cana-2190	51	47	and	and	CCONJ
cana-2190	51	48	frequency	frequency	NOUN
cana-2190	51	49	domain	domain	NOUN
cana-2190	51	50	analysis	analysis	NOUN
cana-2190	51	51	,	,	PUNCT
cana-2190	51	52	enhance	enhance	VERB
cana-2190	51	53	the	the	DET
cana-2190	51	54	model	model	NOUN
cana-2190	51	55	's	's	PART
cana-2190	51	56	ability	ability	NOUN
cana-2190	51	57	to	to	PART
cana-2190	51	58	identify	identify	VERB
cana-2190	51	59	faults	fault	NOUN
cana-2190	51	60	[	[	X
cana-2190	51	61	15][16	15][16	X
cana-2190	51	62	]	]	SYM
cana-2190	51	63	•	•	NUM
cana-2190	51	64	feature	feature	NOUN
cana-2190	51	65	selection	selection	NOUN
cana-2190	51	66	techniques	technique	NOUN
cana-2190	51	67	,	,	PUNCT
cana-2190	51	68	including	include	VERB
cana-2190	51	69	genetic	genetic	ADJ
cana-2190	51	70	algorithms	algorithm	NOUN
cana-2190	51	71	(	(	PUNCT
cana-2190	51	72	ga	ga	NOUN
cana-2190	51	73	)	)	PUNCT
cana-2190	51	74	and	and	CCONJ
cana-2190	51	75	particle	particle	NOUN
cana-2190	51	76	swarm	swarm	NOUN
cana-2190	51	77	optimization	optimization	NOUN
cana-2190	51	78	(	(	PUNCT
cana-2190	51	79	pso	pso	NOUN
cana-2190	51	80	)	)	PUNCT
cana-2190	51	81	,	,	PUNCT
cana-2190	51	82	can	can	AUX
cana-2190	51	83	optimize	optimize	VERB
cana-2190	51	84	feature	feature	NOUN
cana-2190	51	85	subsets	subset	NOUN
cana-2190	51	86	,	,	PUNCT
cana-2190	51	87	enhancing	enhance	VERB
cana-2190	51	88	the	the	DET
cana-2190	51	89	accuracy	accuracy	NOUN
cana-2190	51	90	and	and	CCONJ
cana-2190	51	91	reliability	reliability	NOUN
cana-2190	51	92	of	of	ADP
cana-2190	51	93	fault	fault	VERB
cana-2190	51	94	classification	classification	NOUN
cana-2190	51	95	models	model	NOUN
cana-2190	51	96	.	.	PUNCT
cana-2190	52	1	[	[	X
cana-2190	52	2	17	17	NUM
cana-2190	52	3	]	]	PUNCT
cana-2190	52	4	these	these	DET
cana-2190	52	5	techniques	technique	NOUN
cana-2190	52	6	can	can	AUX
cana-2190	52	7	also	also	ADV
cana-2190	52	8	be	be	AUX
cana-2190	52	9	used	use	VERB
cana-2190	52	10	for	for	ADP
cana-2190	52	11	forecasting	forecasting	NOUN
cana-2190	52	12	applications	application	NOUN
cana-2190	52	13	to	to	PART
cana-2190	52	14	foresee	foresee	VERB
cana-2190	52	15	occurrences	occurrence	NOUN
cana-2190	52	16	of	of	ADP
cana-2190	52	17	faults	fault	NOUN
cana-2190	52	18	[	[	X
cana-2190	52	19	18][19	18][19	NUM
cana-2190	52	20	]	]	X
cana-2190	52	21	case	case	NOUN
cana-2190	52	22	studies	study	NOUN
cana-2190	52	23	demonstrate	demonstrate	VERB
cana-2190	52	24	the	the	DET
cana-2190	52	25	effectiveness	effectiveness	NOUN
cana-2190	52	26	of	of	ADP
cana-2190	52	27	semi	semi	ADJ
cana-2190	52	28	-	-	ADJ
cana-2190	52	29	supervised	supervised	ADJ
cana-2190	52	30	methods	method	NOUN
cana-2190	52	31	in	in	ADP
cana-2190	52	32	real	real	ADJ
cana-2190	52	33	-	-	PUNCT
cana-2190	52	34	world	world	NOUN
cana-2190	52	35	scenarios	scenario	NOUN
cana-2190	52	36	,	,	PUNCT
cana-2190	52	37	with	with	ADP
cana-2190	52	38	significant	significant	ADJ
cana-2190	52	39	reductions	reduction	NOUN
cana-2190	52	40	in	in	ADP
cana-2190	52	41	error	error	NOUN
cana-2190	52	42	rates	rate	NOUN
cana-2190	52	43	even	even	ADV
cana-2190	52	44	with	with	ADP
cana-2190	52	45	minimal	minimal	ADJ
cana-2190	52	46	labelled	label	VERB
cana-2190	52	47	data	datum	NOUN
cana-2190	53	1	[	[	X
cana-2190	53	2	15][16	15][16	PROPN
cana-2190	53	3	]	]	X
cana-2190	53	4	.	.	PUNCT
cana-2190	54	1	while	while	SCONJ
cana-2190	54	2	semi	semi	ADJ
cana-2190	54	3	-	-	ADJ
cana-2190	54	4	supervised	supervised	ADJ
cana-2190	54	5	learning	learning	NOUN
cana-2190	54	6	offers	offer	VERB
cana-2190	54	7	substantial	substantial	ADJ
cana-2190	54	8	benefits	benefit	NOUN
cana-2190	54	9	,	,	PUNCT
cana-2190	54	10	challenges	challenge	NOUN
cana-2190	54	11	remain	remain	VERB
cana-2190	54	12	in	in	ADP
cana-2190	54	13	ensuring	ensure	VERB
cana-2190	54	14	the	the	DET
cana-2190	54	15	quality	quality	NOUN
cana-2190	54	16	of	of	ADP
cana-2190	54	17	unlabelled	unlabelled	ADJ
cana-2190	54	18	data	datum	NOUN
cana-2190	54	19	and	and	CCONJ
cana-2190	54	20	the	the	DET
cana-2190	54	21	complexity	complexity	NOUN
cana-2190	54	22	of	of	ADP
cana-2190	54	23	feature	feature	NOUN
cana-2190	54	24	extraction	extraction	NOUN
cana-2190	54	25	,	,	PUNCT
cana-2190	54	26	which	which	PRON
cana-2190	54	27	can	can	AUX
cana-2190	54	28	impact	impact	VERB
cana-2190	54	29	the	the	DET
cana-2190	54	30	overall	overall	ADJ
cana-2190	54	31	performance	performance	NOUN
cana-2190	54	32	of	of	ADP
cana-2190	54	33	fault	fault	NOUN
cana-2190	54	34	detection	detection	NOUN
cana-2190	54	35	systems	system	NOUN
cana-2190	54	36	.	.	PUNCT
cana-2190	55	1	there	there	PRON
cana-2190	55	2	are	be	VERB
cana-2190	55	3	four	four	NUM
cana-2190	55	4	critical	critical	ADJ
cana-2190	55	5	steps	step	NOUN
cana-2190	55	6	that	that	PRON
cana-2190	55	7	make	make	VERB
cana-2190	55	8	up	up	ADP
cana-2190	55	9	the	the	DET
cana-2190	55	10	knn	knn	PROPN
cana-2190	55	11	model	model	PROPN
cana-2190	55	12	.	.	PUNCT
cana-2190	56	1	a	a	DET
cana-2190	56	2	key	key	ADJ
cana-2190	56	3	aspect	aspect	NOUN
cana-2190	56	4	of	of	ADP
cana-2190	56	5	this	this	DET
cana-2190	56	6	knn	knn	PROPN
cana-2190	56	7	model	model	NOUN
cana-2190	56	8	is	be	AUX
cana-2190	56	9	its	its	PRON
cana-2190	56	10	use	use	NOUN
cana-2190	56	11	of	of	ADP
cana-2190	56	12	a	a	DET
cana-2190	56	13	semi	semi	ADJ
cana-2190	56	14	-	-	ADJ
cana-2190	56	15	supervised	supervised	ADJ
cana-2190	56	16	learning	learning	NOUN
cana-2190	56	17	approach	approach	NOUN
cana-2190	56	18	.	.	PUNCT
cana-2190	57	1	this	this	PRON
cana-2190	57	2	allows	allow	VERB
cana-2190	57	3	the	the	DET
cana-2190	57	4	classifier	classifier	NOUN
cana-2190	57	5	to	to	PART
cana-2190	57	6	learn	learn	VERB
cana-2190	57	7	from	from	ADP
cana-2190	57	8	both	both	PRON
cana-2190	57	9	labelled	label	VERB
cana-2190	57	10	and	and	CCONJ
cana-2190	57	11	unlabelled	unlabelled	ADJ
cana-2190	57	12	data	datum	NOUN
cana-2190	57	13	.	.	PUNCT
cana-2190	58	1	the	the	DET
cana-2190	58	2	process	process	NOUN
cana-2190	58	3	involves	involve	VERB
cana-2190	58	4	:	:	PUNCT
cana-2190	58	5	1	1	X
cana-2190	58	6	.	.	X
cana-2190	58	7	initial	initial	ADJ
cana-2190	58	8	training	training	NOUN
cana-2190	58	9	:	:	PUNCT
cana-2190	58	10	the	the	DET
cana-2190	58	11	classifier	classifier	NOUN
cana-2190	58	12	is	be	AUX
cana-2190	58	13	trained	train	VERB
cana-2190	58	14	on	on	ADP
cana-2190	58	15	the	the	DET
cana-2190	58	16	small	small	ADJ
cana-2190	58	17	,	,	PUNCT
cana-2190	58	18	initial	initial	ADJ
cana-2190	58	19	labelled	label	VERB
cana-2190	58	20	dataset	dataset	NOUN
cana-2190	58	21	.	.	PUNCT
cana-2190	59	1	2	2	X
cana-2190	59	2	.	.	X
cana-2190	59	3	labelling	label	VERB
cana-2190	59	4	unlabelled	unlabelled	ADJ
cana-2190	59	5	data	datum	NOUN
cana-2190	59	6	:	:	PUNCT
cana-2190	59	7	the	the	DET
cana-2190	59	8	classifier	classifier	NOUN
cana-2190	59	9	predicts	predict	VERB
cana-2190	59	10	the	the	DET
cana-2190	59	11	labels	label	NOUN
cana-2190	59	12	for	for	ADP
cana-2190	59	13	unlabelled	unlabelled	ADJ
cana-2190	59	14	data	data	NOUN
cana-2190	59	15	points	point	NOUN
cana-2190	59	16	based	base	VERB
cana-2190	59	17	on	on	ADP
cana-2190	59	18	their	their	PRON
cana-2190	59	19	similarity	similarity	NOUN
cana-2190	59	20	to	to	ADP
cana-2190	59	21	labelled	label	VERB
cana-2190	59	22	data	datum	NOUN
cana-2190	59	23	points	point	NOUN
cana-2190	59	24	.	.	PUNCT
cana-2190	60	1	3	3	X
cana-2190	60	2	.	.	X
cana-2190	60	3	enhancing	enhance	VERB
cana-2190	60	4	the	the	DET
cana-2190	60	5	dataset	dataset	NOUN
cana-2190	60	6	:	:	PUNCT
cana-2190	60	7	the	the	DET
cana-2190	60	8	newly	newly	ADV
cana-2190	60	9	labelled	label	VERB
cana-2190	60	10	data	datum	NOUN
cana-2190	60	11	points	point	NOUN
cana-2190	60	12	are	be	AUX
cana-2190	60	13	added	add	VERB
cana-2190	60	14	to	to	ADP
cana-2190	60	15	the	the	DET
cana-2190	60	16	training	training	NOUN
cana-2190	60	17	dataset	dataset	NOUN
cana-2190	60	18	,	,	PUNCT
cana-2190	60	19	increasing	increase	VERB
cana-2190	60	20	its	its	PRON
cana-2190	60	21	size	size	NOUN
cana-2190	60	22	and	and	CCONJ
cana-2190	60	23	diversity	diversity	NOUN
cana-2190	60	24	.	.	PUNCT
cana-2190	61	1	4	4	X
cana-2190	61	2	.	.	X
cana-2190	61	3	retraining	retrain	VERB
cana-2190	61	4	:	:	PUNCT
cana-2190	61	5	the	the	DET
cana-2190	61	6	classifier	classifier	NOUN
cana-2190	61	7	is	be	AUX
cana-2190	61	8	retrained	retrain	VERB
cana-2190	61	9	on	on	ADP
cana-2190	61	10	the	the	DET
cana-2190	61	11	expanded	expand	VERB
cana-2190	61	12	dataset	dataset	NOUN
cana-2190	61	13	,	,	PUNCT
cana-2190	61	14	improving	improve	VERB
cana-2190	61	15	its	its	PRON
cana-2190	61	16	accuracy	accuracy	NOUN
cana-2190	61	17	.	.	PUNCT
cana-2190	62	1	two	two	NUM
cana-2190	62	2	most	most	ADV
cana-2190	62	3	important	important	ADJ
cana-2190	62	4	questions	question	NOUN
cana-2190	62	5	when	when	SCONJ
cana-2190	62	6	implementing	implement	VERB
cana-2190	62	7	a	a	DET
cana-2190	62	8	knn	knn	NOUN
cana-2190	62	9	.	.	PROPN
cana-2190	62	10	•	•	NUM
cana-2190	62	11	how	how	SCONJ
cana-2190	62	12	to	to	PART
cana-2190	62	13	choose	choose	VERB
cana-2190	62	14	the	the	DET
cana-2190	62	15	k	k	NOUN
cana-2190	62	16	-	-	NOUN
cana-2190	62	17	value	value	NOUN
cana-2190	62	18	:	:	PUNCT
cana-2190	62	19	the	the	DET
cana-2190	62	20	minimum	minimum	ADJ
cana-2190	62	21	or	or	CCONJ
cana-2190	62	22	cross	cross	ADJ
cana-2190	62	23	-	-	ADJ
cana-2190	62	24	validation	validation	ADJ
cana-2190	62	25	approach	approach	NOUN
cana-2190	62	26	is	be	AUX
cana-2190	62	27	employed	employ	VERB
cana-2190	62	28	for	for	ADP
cana-2190	62	29	each	each	DET
cana-2190	62	30	test	test	NOUN
cana-2190	62	31	data	datum	NOUN
cana-2190	62	32	point	point	NOUN
cana-2190	62	33	to	to	PART
cana-2190	62	34	calculate	calculate	VERB
cana-2190	62	35	the	the	DET
cana-2190	62	36	value	value	NOUN
cana-2190	62	37	of	of	ADP
cana-2190	62	38	k	k	NOUN
cana-2190	62	39	,	,	PUNCT
cana-2190	62	40	which	which	PRON
cana-2190	62	41	is	be	AUX
cana-2190	62	42	frequently	frequently	ADV
cana-2190	62	43	set	set	VERB
cana-2190	62	44	to	to	ADP
cana-2190	62	45	a	a	DET
cana-2190	62	46	constant	constant	ADJ
cana-2190	62	47	and	and	CCONJ
cana-2190	62	48	odd	odd	ADJ
cana-2190	62	49	number	number	NOUN
cana-2190	62	50	.	.	PUNCT
cana-2190	63	1	numerous	numerous	ADJ
cana-2190	63	2	methods	method	NOUN
cana-2190	63	3	exist	exist	VERB
cana-2190	63	4	for	for	ADP
cana-2190	63	5	determining	determine	VERB
cana-2190	63	6	how	how	SCONJ
cana-2190	63	7	similar	similar	ADJ
cana-2190	63	8	two	two	NUM
cana-2190	63	9	sets	set	NOUN
cana-2190	63	10	of	of	ADP
cana-2190	63	11	data	datum	NOUN
cana-2190	63	12	are	be	AUX
cana-2190	63	13	;	;	PUNCT
cana-2190	63	14	some	some	DET
cana-2190	63	15	examples	example	NOUN
cana-2190	63	16	are	be	AUX
cana-2190	63	17	the	the	DET
cana-2190	63	18	minkowski	minkowski	ADJ
cana-2190	63	19	distance	distance	NOUN
cana-2190	63	20	,	,	PUNCT
cana-2190	63	21	the	the	DET
cana-2190	63	22	mahalanobis	mahalanobis	ADJ
cana-2190	63	23	distance	distance	NOUN
cana-2190	63	24	,	,	PUNCT
cana-2190	63	25	and	and	CCONJ
cana-2190	63	26	the	the	DET
cana-2190	63	27	euclidean	euclidean	ADJ
cana-2190	63	28	distance	distance	NOUN
cana-2190	63	29	.	.	PUNCT
cana-2190	64	1	•	•	NUM
cana-2190	64	2	closeness	closeness	NOUN
cana-2190	64	3	measure	measure	NOUN
cana-2190	64	4	between	between	ADP
cana-2190	64	5	two	two	NUM
cana-2190	64	6	data	datum	NOUN
cana-2190	64	7	points	point	NOUN
cana-2190	64	8	:	:	PUNCT
cana-2190	64	9	the	the	DET
cana-2190	64	10	nearby	nearby	ADJ
cana-2190	64	11	data	data	NOUN
cana-2190	64	12	points	point	NOUN
cana-2190	64	13	,	,	PUNCT
cana-2190	64	14	or	or	CCONJ
cana-2190	64	15	training	training	NOUN
cana-2190	64	16	samples	sample	NOUN
cana-2190	64	17	,	,	PUNCT
cana-2190	64	18	in	in	ADP
cana-2190	64	19	the	the	DET
cana-2190	64	20	knn	knn	PROPN
cana-2190	64	21	model	model	NOUN
cana-2190	64	22	are	be	AUX
cana-2190	64	23	the	the	DET
cana-2190	64	24	ones	one	NOUN
cana-2190	64	25	that	that	PRON
cana-2190	64	26	have	have	AUX
cana-2190	64	27	been	be	AUX
cana-2190	64	28	correctly	correctly	ADV
cana-2190	64	29	classified	classified	ADJ
cana-2190	64	30	.	.	PUNCT
cana-2190	65	1	category	category	NOUN
cana-2190	65	2	classification	classification	NOUN
cana-2190	65	3	is	be	AUX
cana-2190	65	4	the	the	DET
cana-2190	65	5	foundational	foundational	ADJ
cana-2190	65	6	idea	idea	NOUN
cana-2190	65	7	around	around	ADP
cana-2190	65	8	which	which	PRON
cana-2190	65	9	the	the	DET
cana-2190	65	10	technique	technique	NOUN
cana-2190	65	11	is	be	AUX
cana-2190	65	12	founded	found	VERB
cana-2190	65	13	.	.	PUNCT
cana-2190	66	1	the	the	DET
cana-2190	66	2	k	k	NOUN
cana-2190	66	3	-	-	PUNCT
cana-2190	66	4	nearest	near	ADJ
cana-2190	66	5	neighbors	neighbor	NOUN
cana-2190	66	6	(	(	PUNCT
cana-2190	66	7	knn	knn	PROPN
cana-2190	66	8	)	)	PUNCT
cana-2190	66	9	algorithm	algorithm	PROPN
cana-2190	66	10	classifies	classify	VERB
cana-2190	66	11	data	datum	NOUN
cana-2190	66	12	points	point	NOUN
cana-2190	66	13	based	base	VERB
cana-2190	66	14	on	on	ADP
cana-2190	66	15	the	the	DET
cana-2190	66	16	majority	majority	NOUN
cana-2190	66	17	class	class	NOUN
cana-2190	66	18	of	of	ADP
cana-2190	66	19	their	their	PRON
cana-2190	66	20	k	k	NOUN
cana-2190	66	21	nearest	near	ADJ
cana-2190	66	22	neighbors	neighbor	NOUN
cana-2190	66	23	.	.	PUNCT
cana-2190	67	1	communications	communication	NOUN
cana-2190	67	2	on	on	ADP
cana-2190	67	3	applied	apply	VERB
cana-2190	67	4	nonlinear	nonlinear	ADJ
cana-2190	67	5	analysis	analysis	NOUN
cana-2190	67	6	issn	issn	NOUN
cana-2190	67	7	:	:	PUNCT
cana-2190	67	8	1074	1074	NUM
cana-2190	67	9	-	-	PUNCT
cana-2190	67	10	133x	133x	NUM
cana-2190	67	11	vol	vol	NOUN
cana-2190	67	12	32	32	NUM
cana-2190	67	13	no	no	NOUN
cana-2190	67	14	.	.	PUNCT
cana-2190	68	1	1s	1s	NUM
cana-2190	68	2	(	(	PUNCT
cana-2190	68	3	2025	2025	NUM
cana-2190	68	4	)	)	PUNCT
cana-2190	68	5	349	349	NUM
cana-2190	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	68	7	the	the	DET
cana-2190	68	8	key	key	ADJ
cana-2190	68	9	advantages	advantage	NOUN
cana-2190	68	10	of	of	ADP
cana-2190	68	11	the	the	DET
cana-2190	68	12	semi	semi	ADJ
cana-2190	68	13	-	-	ADJ
cana-2190	68	14	supervised	supervised	ADJ
cana-2190	68	15	approach	approach	NOUN
cana-2190	68	16	:	:	PUNCT
cana-2190	68	17	•	•	NUM
cana-2190	68	18	requires	require	VERB
cana-2190	68	19	fewer	few	ADJ
cana-2190	68	20	labelled	label	VERB
cana-2190	68	21	data	datum	NOUN
cana-2190	68	22	points	point	NOUN
cana-2190	68	23	.	.	PUNCT
cana-2190	69	1	•	•	NUM
cana-2190	69	2	the	the	DET
cana-2190	69	3	model	model	NOUN
cana-2190	69	4	's	's	PART
cana-2190	69	5	performance	performance	NOUN
cana-2190	69	6	can	can	AUX
cana-2190	69	7	be	be	AUX
cana-2190	69	8	continually	continually	ADV
cana-2190	69	9	enhanced	enhance	VERB
cana-2190	69	10	through	through	ADP
cana-2190	69	11	iterative	iterative	NOUN
cana-2190	69	12	learning	learning	NOUN
cana-2190	69	13	.	.	PUNCT
cana-2190	70	1	•	•	NUM
cana-2190	70	2	the	the	DET
cana-2190	70	3	iterative	iterative	NOUN
cana-2190	70	4	training	training	NOUN
cana-2190	70	5	process	process	NOUN
cana-2190	70	6	is	be	AUX
cana-2190	70	7	computationally	computationally	ADV
cana-2190	70	8	less	less	ADV
cana-2190	70	9	intensive	intensive	ADJ
cana-2190	70	10	compared	compare	VERB
cana-2190	70	11	to	to	ADP
cana-2190	70	12	traditional	traditional	ADJ
cana-2190	70	13	supervised	supervised	ADJ
cana-2190	70	14	learning	learning	NOUN
cana-2190	70	15	.	.	PUNCT
cana-2190	71	1	the	the	DET
cana-2190	71	2	knn	knn	PROPN
cana-2190	71	3	classifier	classifier	PROPN
cana-2190	71	4	is	be	AUX
cana-2190	71	5	trained	train	VERB
cana-2190	71	6	on	on	ADP
cana-2190	71	7	a	a	DET
cana-2190	71	8	relatively	relatively	ADV
cana-2190	71	9	small	small	ADJ
cana-2190	71	10	dataset	dataset	NOUN
cana-2190	71	11	of	of	ADP
cana-2190	71	12	labelled	label	VERB
cana-2190	71	13	power	power	NOUN
cana-2190	71	14	system	system	NOUN
cana-2190	71	15	data	datum	NOUN
cana-2190	71	16	.	.	PUNCT
cana-2190	72	1	this	this	DET
cana-2190	72	2	initial	initial	ADJ
cana-2190	72	3	dataset	dataset	NOUN
cana-2190	72	4	is	be	AUX
cana-2190	72	5	used	use	VERB
cana-2190	72	6	to	to	PART
cana-2190	72	7	establish	establish	VERB
cana-2190	72	8	the	the	DET
cana-2190	72	9	classifier	classifier	NOUN
cana-2190	72	10	's	's	PART
cana-2190	72	11	decision	decision	NOUN
cana-2190	72	12	-	-	PUNCT
cana-2190	72	13	making	make	VERB
cana-2190	72	14	criteria	criterion	NOUN
cana-2190	72	15	.	.	PUNCT
cana-2190	73	1	to	to	PART
cana-2190	73	2	evaluate	evaluate	VERB
cana-2190	73	3	the	the	DET
cana-2190	73	4	classifier	classifier	NOUN
cana-2190	73	5	's	's	PART
cana-2190	73	6	performance	performance	NOUN
cana-2190	73	7	,	,	PUNCT
cana-2190	73	8	a	a	DET
cana-2190	73	9	validation	validation	NOUN
cana-2190	73	10	dataset	dataset	NOUN
cana-2190	73	11	consisting	consist	VERB
cana-2190	73	12	of	of	ADP
cana-2190	73	13	20	20	NUM
cana-2190	73	14	fault	fault	NOUN
cana-2190	73	15	scenarios	scenario	NOUN
cana-2190	73	16	with	with	ADP
cana-2190	73	17	varying	vary	VERB
cana-2190	73	18	fault	fault	NOUN
cana-2190	73	19	resistances	resistance	NOUN
cana-2190	73	20	and	and	CCONJ
cana-2190	73	21	locations	location	NOUN
cana-2190	73	22	is	be	AUX
cana-2190	73	23	introduced	introduce	VERB
cana-2190	73	24	.	.	PUNCT
cana-2190	74	1	the	the	DET
cana-2190	74	2	classifier	classifier	NOUN
cana-2190	74	3	's	's	PART
cana-2190	74	4	predictions	prediction	NOUN
cana-2190	74	5	for	for	ADP
cana-2190	74	6	these	these	DET
cana-2190	74	7	scenarios	scenario	NOUN
cana-2190	74	8	are	be	AUX
cana-2190	74	9	compared	compare	VERB
cana-2190	74	10	to	to	ADP
cana-2190	74	11	the	the	DET
cana-2190	74	12	known	know	VERB
cana-2190	74	13	ground	ground	NOUN
cana-2190	74	14	truth	truth	NOUN
cana-2190	74	15	labels	label	NOUN
cana-2190	74	16	.	.	PUNCT
cana-2190	75	1	the	the	DET
cana-2190	75	2	knn	knn	PROPN
cana-2190	75	3	classifier	classifier	PROPN
cana-2190	75	4	categorizes	categorize	VERB
cana-2190	75	5	faults	fault	NOUN
cana-2190	75	6	based	base	VERB
cana-2190	75	7	on	on	ADP
cana-2190	75	8	the	the	DET
cana-2190	75	9	fault	fault	NOUN
cana-2190	75	10	current	current	ADJ
cana-2190	75	11	magnitude	magnitude	NOUN
cana-2190	75	12	measured	measure	VERB
cana-2190	75	13	at	at	ADP
cana-2190	75	14	bus	bus	NOUN
cana-2190	75	15	b1	b1	NOUN
cana-2190	75	16	.	.	PUNCT
cana-2190	76	1	the	the	DET
cana-2190	76	2	classifier	classifier	NOUN
cana-2190	76	3	's	's	PART
cana-2190	76	4	decision	decision	NOUN
cana-2190	76	5	-	-	PUNCT
cana-2190	76	6	making	make	VERB
cana-2190	76	7	process	process	NOUN
cana-2190	76	8	is	be	AUX
cana-2190	76	9	guided	guide	VERB
cana-2190	76	10	by	by	ADP
cana-2190	76	11	the	the	DET
cana-2190	76	12	patterns	pattern	NOUN
cana-2190	76	13	identified	identify	VERB
cana-2190	76	14	in	in	ADP
cana-2190	76	15	the	the	DET
cana-2190	76	16	training	training	NOUN
cana-2190	76	17	data	datum	NOUN
cana-2190	76	18	.	.	PUNCT
cana-2190	77	1	by	by	ADP
cana-2190	77	2	effectively	effectively	ADV
cana-2190	77	3	leveraging	leverage	VERB
cana-2190	77	4	semi	semi	ADJ
cana-2190	77	5	-	-	ADJ
cana-2190	77	6	supervised	supervised	ADJ
cana-2190	77	7	learning	learning	NOUN
cana-2190	77	8	,	,	PUNCT
cana-2190	77	9	the	the	DET
cana-2190	77	10	knn	knn	PROPN
cana-2190	77	11	classifier	classifier	PROPN
cana-2190	77	12	can	can	AUX
cana-2190	77	13	provide	provide	VERB
cana-2190	77	14	reliable	reliable	ADJ
cana-2190	77	15	fault	fault	NOUN
cana-2190	77	16	classification	classification	NOUN
cana-2190	77	17	,	,	PUNCT
cana-2190	77	18	even	even	ADV
cana-2190	77	19	in	in	ADP
cana-2190	77	20	scenarios	scenario	NOUN
cana-2190	77	21	with	with	ADP
cana-2190	77	22	limited	limited	ADJ
cana-2190	77	23	labelled	label	VERB
cana-2190	77	24	data	datum	NOUN
cana-2190	77	25	.	.	PUNCT
cana-2190	78	1	the	the	DET
cana-2190	78	2	paper	paper	NOUN
cana-2190	78	3	introduces	introduce	VERB
cana-2190	78	4	the	the	DET
cana-2190	78	5	knn	knn	PROPN
cana-2190	78	6	algorithm	algorithm	PROPN
cana-2190	78	7	,	,	PUNCT
cana-2190	78	8	a	a	DET
cana-2190	78	9	classifier	classifier	NOUN
cana-2190	78	10	that	that	PRON
cana-2190	78	11	can	can	AUX
cana-2190	78	12	handle	handle	VERB
cana-2190	78	13	defect	defect	VERB
cana-2190	78	14	data	datum	NOUN
cana-2190	78	15	points	point	NOUN
cana-2190	78	16	with	with	ADP
cana-2190	78	17	and	and	CCONJ
cana-2190	78	18	without	without	ADP
cana-2190	78	19	labels	label	NOUN
cana-2190	78	20	,	,	PUNCT
cana-2190	78	21	and	and	CCONJ
cana-2190	78	22	it	it	PRON
cana-2190	78	23	is	be	AUX
cana-2190	78	24	based	base	VERB
cana-2190	78	25	on	on	ADP
cana-2190	78	26	a	a	DET
cana-2190	78	27	semisupervised	semisupervise	VERB
cana-2190	78	28	machine	machine	NOUN
cana-2190	78	29	learning	learning	NOUN
cana-2190	78	30	approach	approach	NOUN
cana-2190	78	31	.	.	PUNCT
cana-2190	79	1	fault	fault	NOUN
cana-2190	79	2	currents	current	NOUN
cana-2190	79	3	obtained	obtain	VERB
cana-2190	79	4	at	at	ADP
cana-2190	79	5	a	a	DET
cana-2190	79	6	single	single	ADJ
cana-2190	79	7	bus	bus	NOUN
cana-2190	79	8	are	be	AUX
cana-2190	79	9	sent	send	VERB
cana-2190	79	10	into	into	ADP
cana-2190	79	11	the	the	DET
cana-2190	79	12	classifier	classifier	NOUN
cana-2190	79	13	.	.	PUNCT
cana-2190	80	1	after	after	ADP
cana-2190	80	2	classifying	classify	VERB
cana-2190	80	3	unlabelled	unlabelled	ADJ
cana-2190	80	4	data	datum	NOUN
cana-2190	80	5	,	,	PUNCT
cana-2190	80	6	it	it	PRON
cana-2190	80	7	is	be	AUX
cana-2190	80	8	added	add	VERB
cana-2190	80	9	to	to	ADP
cana-2190	80	10	the	the	DET
cana-2190	80	11	labelled	label	VERB
cana-2190	80	12	dataset	dataset	NOUN
cana-2190	80	13	.	.	PUNCT
cana-2190	81	1	the	the	DET
cana-2190	81	2	knn	knn	PROPN
cana-2190	81	3	classifier	classifier	PROPN
cana-2190	81	4	then	then	ADV
cana-2190	81	5	utilizes	utilize	VERB
cana-2190	81	6	the	the	DET
cana-2190	81	7	k	k	NOUN
cana-2190	81	8	-	-	PUNCT
cana-2190	81	9	nearest	near	ADJ
cana-2190	81	10	labelled	label	VERB
cana-2190	81	11	samples	sample	NOUN
cana-2190	81	12	to	to	PART
cana-2190	81	13	classify	classify	VERB
cana-2190	81	14	subsequent	subsequent	ADJ
cana-2190	81	15	unlabelled	unlabelled	ADJ
cana-2190	81	16	data	data	NOUN
cana-2190	81	17	points	point	NOUN
cana-2190	81	18	.	.	PUNCT
cana-2190	82	1	the	the	DET
cana-2190	82	2	system	system	NOUN
cana-2190	82	3	's	's	PART
cana-2190	82	4	performance	performance	NOUN
cana-2190	82	5	is	be	AUX
cana-2190	82	6	evaluated	evaluate	VERB
cana-2190	82	7	under	under	ADP
cana-2190	82	8	various	various	ADJ
cana-2190	82	9	fault	fault	NOUN
cana-2190	82	10	resistance	resistance	NOUN
cana-2190	82	11	levels	level	NOUN
cana-2190	82	12	on	on	ADP
cana-2190	82	13	transmission	transmission	NOUN
cana-2190	82	14	lines	line	NOUN
cana-2190	82	15	.	.	PUNCT
cana-2190	83	1	3	3	X
cana-2190	83	2	.	.	X
cana-2190	83	3	test	test	NOUN
cana-2190	83	4	system	system	NOUN
cana-2190	83	5	description	description	NOUN
cana-2190	83	6	figure	figure	NOUN
cana-2190	83	7	1	1	NUM
cana-2190	83	8	illustrates	illustrate	VERB
cana-2190	83	9	a	a	DET
cana-2190	83	10	three	three	NUM
cana-2190	83	11	-	-	PUNCT
cana-2190	83	12	phase	phase	NOUN
cana-2190	83	13	transmission	transmission	NOUN
cana-2190	83	14	line	line	NOUN
cana-2190	83	15	fault	fault	NOUN
cana-2190	83	16	identification	identification	NOUN
cana-2190	83	17	and	and	CCONJ
cana-2190	83	18	categorization	categorization	NOUN
cana-2190	83	19	system	system	NOUN
cana-2190	83	20	.	.	PUNCT
cana-2190	84	1	this	this	DET
cana-2190	84	2	system	system	NOUN
cana-2190	84	3	is	be	AUX
cana-2190	84	4	simulated	simulate	VERB
cana-2190	84	5	using	use	VERB
cana-2190	84	6	matlab	matlab	PROPN
cana-2190	84	7	and	and	CCONJ
cana-2190	84	8	configured	configure	VERB
cana-2190	84	9	as	as	SCONJ
cana-2190	84	10	depicted	depict	VERB
cana-2190	84	11	in	in	ADP
cana-2190	84	12	the	the	DET
cana-2190	84	13	figure	figure	NOUN
cana-2190	84	14	.	.	PUNCT
cana-2190	85	1	fig	fig	NOUN
cana-2190	85	2	1	1	NUM
cana-2190	85	3	:	:	PUNCT
cana-2190	86	1	3-	3-	NUM
cana-2190	86	2	transmission	transmission	NOUN
cana-2190	86	3	line	line	NOUN
cana-2190	86	4	fault	fault	NOUN
cana-2190	86	5	identification	identification	NOUN
cana-2190	86	6	and	and	CCONJ
cana-2190	86	7	categorization	categorization	NOUN
cana-2190	86	8	system	system	NOUN
cana-2190	86	9	[	[	X
cana-2190	86	10	14	14	NUM
cana-2190	86	11	]	]	PUNCT
cana-2190	86	12	system	system	NOUN
cana-2190	86	13	configuration	configuration	NOUN
cana-2190	86	14	:	:	PUNCT
cana-2190	86	15	•	•	NUM
cana-2190	86	16	power	power	NOUN
cana-2190	86	17	transmission	transmission	NOUN
cana-2190	86	18	:	:	PUNCT
cana-2190	86	19	power	power	NOUN
cana-2190	86	20	is	be	AUX
cana-2190	86	21	transmitted	transmit	VERB
cana-2190	86	22	from	from	ADP
cana-2190	86	23	a	a	DET
cana-2190	86	24	power	power	NOUN
cana-2190	86	25	plant	plant	NOUN
cana-2190	86	26	to	to	ADP
cana-2190	86	27	a	a	DET
cana-2190	86	28	variable	variable	ADJ
cana-2190	86	29	load	load	NOUN
cana-2190	86	30	network	network	NOUN
cana-2190	86	31	over	over	ADP
cana-2190	86	32	a	a	DET
cana-2190	86	33	200	200	NUM
cana-2190	86	34	km	km	NOUN
cana-2190	86	35	,	,	PUNCT
cana-2190	86	36	735	735	NUM
cana-2190	86	37	kv	kv	NOUN
cana-2190	86	38	,	,	PUNCT
cana-2190	86	39	100	100	NUM
cana-2190	86	40	mw	mw	ADJ
cana-2190	86	41	,	,	PUNCT
cana-2190	86	42	three	three	NUM
cana-2190	86	43	-	-	PUNCT
cana-2190	86	44	phase	phase	NOUN
cana-2190	86	45	transmission	transmission	NOUN
cana-2190	86	46	line	line	NOUN
cana-2190	86	47	operating	operate	VERB
cana-2190	86	48	at	at	ADP
cana-2190	86	49	60	60	NUM
cana-2190	86	50	hz	hz	NOUN
cana-2190	86	51	.	.	PROPN
cana-2190	86	52	•	•	NUM
cana-2190	86	53	generation	generation	NOUN
cana-2190	86	54	:	:	PUNCT
cana-2190	86	55	six	six	NUM
cana-2190	86	56	350	350	NUM
cana-2190	86	57	mva	mva	NOUN
cana-2190	86	58	generators	generator	NOUN
cana-2190	86	59	are	be	AUX
cana-2190	86	60	connected	connect	VERB
cana-2190	86	61	to	to	ADP
cana-2190	86	62	bus	bus	NOUN
cana-2190	86	63	b1	b1	NOUN
cana-2190	86	64	.	.	PUNCT
cana-2190	87	1	•	•	NUM
cana-2190	87	2	load	load	NOUN
cana-2190	87	3	:	:	PUNCT
cana-2190	87	4	the	the	DET
cana-2190	87	5	load	load	NOUN
cana-2190	87	6	is	be	AUX
cana-2190	87	7	connected	connect	VERB
cana-2190	87	8	to	to	ADP
cana-2190	87	9	bus	bus	NOUN
cana-2190	87	10	b2	b2	NOUN
cana-2190	87	11	.	.	PUNCT
cana-2190	88	1	•	•	NUM
cana-2190	89	1	circuit	circuit	NOUN
cana-2190	89	2	breakers	breaker	NOUN
cana-2190	89	3	:	:	PUNCT
cana-2190	89	4	circuit	circuit	NOUN
cana-2190	89	5	breakers	breaker	NOUN
cana-2190	89	6	cb1	cb1	PROPN
cana-2190	89	7	and	and	CCONJ
cana-2190	89	8	cb2	cb2	PROPN
cana-2190	89	9	are	be	AUX
cana-2190	89	10	installed	instal	VERB
cana-2190	89	11	on	on	ADP
cana-2190	89	12	both	both	DET
cana-2190	89	13	sides	side	NOUN
cana-2190	89	14	of	of	ADP
cana-2190	89	15	the	the	DET
cana-2190	89	16	transmission	transmission	NOUN
cana-2190	89	17	line	line	NOUN
cana-2190	89	18	.	.	PUNCT
cana-2190	90	1	communications	communication	NOUN
cana-2190	90	2	on	on	ADP
cana-2190	90	3	applied	apply	VERB
cana-2190	90	4	nonlinear	nonlinear	ADJ
cana-2190	90	5	analysis	analysis	NOUN
cana-2190	90	6	issn	issn	NOUN
cana-2190	90	7	:	:	PUNCT
cana-2190	90	8	1074	1074	NUM
cana-2190	90	9	-	-	PUNCT
cana-2190	90	10	133x	133x	NUM
cana-2190	90	11	vol	vol	NOUN
cana-2190	90	12	32	32	NUM
cana-2190	90	13	no	no	NOUN
cana-2190	90	14	.	.	PUNCT
cana-2190	91	1	1s	1s	NUM
cana-2190	91	2	(	(	PUNCT
cana-2190	91	3	2025	2025	NUM
cana-2190	91	4	)	)	PUNCT
cana-2190	91	5	350	350	NUM
cana-2190	91	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2190	91	7	•	•	NUM
cana-2190	91	8	fault	fault	NOUN
cana-2190	91	9	simulation	simulation	NOUN
cana-2190	91	10	:	:	PUNCT
cana-2190	91	11	a	a	DET
cana-2190	91	12	fault	fault	NOUN
cana-2190	91	13	breaker	breaker	NOUN
cana-2190	91	14	block	block	NOUN
cana-2190	91	15	is	be	AUX
cana-2190	91	16	used	use	VERB
cana-2190	91	17	to	to	PART
cana-2190	91	18	simulate	simulate	VERB
cana-2190	91	19	various	various	ADJ
cana-2190	91	20	fault	fault	NOUN
cana-2190	91	21	types	type	NOUN
cana-2190	91	22	at	at	ADP
cana-2190	91	23	specific	specific	ADJ
cana-2190	91	24	locations	location	NOUN
cana-2190	91	25	and	and	CCONJ
cana-2190	91	26	resistances	resistance	NOUN
cana-2190	91	27	along	along	ADP
cana-2190	91	28	the	the	DET
cana-2190	91	29	line	line	NOUN
cana-2190	91	30	.	.	PUNCT
cana-2190	92	1	the	the	DET
cana-2190	92	2	fault	fault	NOUN
cana-2190	92	3	breaker	breaker	NOUN
cana-2190	92	4	block	block	NOUN
cana-2190	92	5	in	in	ADP
cana-2190	92	6	matlab	matlab	PROPN
cana-2190	92	7	provides	provide	VERB
cana-2190	92	8	access	access	NOUN
cana-2190	92	9	to	to	ADP
cana-2190	92	10	data	datum	NOUN
cana-2190	92	11	related	relate	VERB
cana-2190	92	12	to	to	ADP
cana-2190	92	13	various	various	ADJ
cana-2190	92	14	short	short	ADJ
cana-2190	92	15	-	-	PUNCT
cana-2190	92	16	circuit	circuit	NOUN
cana-2190	92	17	faults	fault	NOUN
cana-2190	92	18	.	.	PUNCT
cana-2190	93	1	this	this	DET
cana-2190	93	2	study	study	NOUN
cana-2190	93	3	focuses	focus	VERB
cana-2190	93	4	on	on	ADP
cana-2190	93	5	ten	ten	NUM
cana-2190	93	6	common	common	ADJ
cana-2190	93	7	fault	fault	NOUN
cana-2190	93	8	types	type	NOUN
cana-2190	93	9	in	in	ADP
cana-2190	93	10	transmission	transmission	NOUN
cana-2190	93	11	lines	line	NOUN
cana-2190	93	12	:	:	PUNCT
cana-2190	93	13	three	three	NUM
cana-2190	93	14	-	-	PUNCT
cana-2190	93	15	phase	phase	NOUN
cana-2190	93	16	-	-	PUNCT
cana-2190	93	17	to	to	ADP
cana-2190	93	18	-	-	PUNCT
cana-2190	93	19	ground	ground	NOUN
cana-2190	93	20	fault	fault	NOUN
cana-2190	93	21	(	(	PUNCT
cana-2190	93	22	lllg	lllg	PROPN
cana-2190	93	23	)	)	PUNCT
cana-2190	93	24	,	,	PUNCT
cana-2190	93	25	three	three	NUM
cana-2190	93	26	-	-	PUNCT
cana-2190	93	27	phase	phase	NOUN
cana-2190	93	28	fault	fault	NOUN
cana-2190	93	29	(	(	PUNCT
cana-2190	93	30	lll	lll	PROPN
cana-2190	93	31	)	)	PUNCT
cana-2190	93	32	,	,	PUNCT
cana-2190	93	33	two	two	NUM
cana-2190	93	34	-	-	PUNCT
cana-2190	93	35	phase	phase	NOUN
cana-2190	93	36	-	-	PUNCT
cana-2190	93	37	to	to	ADP
cana-2190	93	38	-	-	PUNCT
cana-2190	93	39	ground	ground	NOUN
cana-2190	93	40	fault	fault	NOUN
cana-2190	93	41	(	(	PUNCT
cana-2190	93	42	llg	llg	PROPN
cana-2190	93	43	)	)	PUNCT
cana-2190	93	44	and	and	CCONJ
cana-2190	93	45	line	line	NOUN
cana-2190	93	46	-	-	PUNCT
cana-2190	93	47	to	to	ADP
cana-2190	93	48	-	-	PUNCT
cana-2190	93	49	line	line	NOUN
cana-2190	93	50	fault	fault	NOUN
cana-2190	93	51	(	(	PUNCT
cana-2190	93	52	ll	ll	NOUN
cana-2190	93	53	)	)	PUNCT
cana-2190	93	54	.	.	PUNCT
cana-2190	94	1	the	the	DET
cana-2190	94	2	fault	fault	NOUN
cana-2190	94	3	current	current	ADJ
cana-2190	94	4	at	at	ADP
cana-2190	94	5	bus	bus	NOUN
cana-2190	94	6	b1	b1	NOUN
cana-2190	94	7	is	be	AUX
cana-2190	94	8	utilized	utilize	VERB
cana-2190	94	9	as	as	ADP
cana-2190	94	10	input	input	NOUN
cana-2190	94	11	data	datum	NOUN
cana-2190	94	12	for	for	ADP
cana-2190	94	13	fault	fault	NOUN
cana-2190	94	14	classification	classification	NOUN
cana-2190	94	15	.	.	PUNCT
cana-2190	95	1	during	during	ADP
cana-2190	95	2	the	the	DET
cana-2190	95	3	training	training	NOUN
cana-2190	95	4	phase	phase	NOUN
cana-2190	95	5	,	,	PUNCT
cana-2190	95	6	each	each	DET
cana-2190	95	7	fault	fault	NOUN
cana-2190	95	8	type	type	NOUN
cana-2190	95	9	is	be	AUX
cana-2190	95	10	simulated	simulate	VERB
cana-2190	95	11	on	on	ADP
cana-2190	95	12	the	the	DET
cana-2190	95	13	test	test	NOUN
cana-2190	95	14	system	system	NOUN
cana-2190	95	15	,	,	PUNCT
cana-2190	95	16	and	and	CCONJ
cana-2190	95	17	the	the	DET
cana-2190	95	18	corresponding	corresponding	ADJ
cana-2190	95	19	current	current	ADJ
cana-2190	95	20	data	datum	NOUN
cana-2190	95	21	at	at	ADP
cana-2190	95	22	bus	bus	NOUN
cana-2190	95	23	b1	b1	NOUN
cana-2190	95	24	is	be	AUX
cana-2190	95	25	extracted	extract	VERB
cana-2190	95	26	from	from	ADP
cana-2190	95	27	the	the	DET
cana-2190	95	28	matlab	matlab	PROPN
cana-2190	95	29	workspace	workspace	NOUN
cana-2190	95	30	.	.	PUNCT
cana-2190	96	1	the	the	DET
cana-2190	96	2	classes	class	NOUN
cana-2190	96	3	of	of	ADP
cana-2190	96	4	faults	fault	NOUN
cana-2190	96	5	are	be	AUX
cana-2190	96	6	considered	consider	VERB
cana-2190	96	7	as	as	SCONJ
cana-2190	96	8	follows	follow	VERB
cana-2190	96	9	:	:	PUNCT
cana-2190	96	10	line	line	NOUN
cana-2190	96	11	r	r	PROPN
cana-2190	96	12	-	-	PUNCT
cana-2190	96	13	y	y	NOUN
cana-2190	96	14	-	-	PUNCT
cana-2190	96	15	b	b	NOUN
cana-2190	96	16	fault	fault	NOUN
cana-2190	96	17	,	,	PUNCT
cana-2190	96	18	line	line	NOUN
cana-2190	96	19	rline	rline	NOUN
cana-2190	96	20	y	y	PROPN
cana-2190	96	21	fault	fault	NOUN
cana-2190	96	22	,	,	PUNCT
cana-2190	96	23	line	line	NOUN
cana-2190	96	24	yline	yline	PROPN
cana-2190	97	1	b	b	PROPN
cana-2190	97	2	fault	fault	NOUN
cana-2190	97	3	,	,	PUNCT
cana-2190	97	4	line	line	NOUN
cana-2190	97	5	rline	rline	NOUN
cana-2190	98	1	b	b	NOUN
cana-2190	98	2	fault	fault	NOUN
cana-2190	98	3	,	,	PUNCT
cana-2190	98	4	line	line	NOUN
cana-2190	98	5	r	r	NOUN
cana-2190	98	6	-	-	PUNCT
cana-2190	98	7	ground	ground	NOUN
cana-2190	98	8	fault	fault	NOUN
cana-2190	98	9	,	,	PUNCT
cana-2190	98	10	line	line	NOUN
cana-2190	98	11	y	y	NOUN
cana-2190	98	12	-	-	PUNCT
cana-2190	98	13	ground	ground	NOUN
cana-2190	98	14	fault	fault	NOUN
cana-2190	98	15	,	,	PUNCT
cana-2190	98	16	line	line	NOUN
cana-2190	98	17	b	b	NOUN
cana-2190	98	18	-	-	PUNCT
cana-2190	98	19	ground	ground	NOUN
cana-2190	98	20	fault	fault	NOUN
cana-2190	98	21	,	,	PUNCT
cana-2190	98	22	line	line	NOUN
cana-2190	98	23	r	r	PROPN
cana-2190	98	24	-	-	PUNCT
cana-2190	98	25	y	y	NOUN
cana-2190	98	26	-	-	PUNCT
cana-2190	98	27	ground	ground	NOUN
cana-2190	98	28	fault	fault	NOUN
cana-2190	98	29	,	,	PUNCT
cana-2190	98	30	line	line	NOUN
cana-2190	98	31	y	y	PROPN
cana-2190	98	32	-	-	PUNCT
cana-2190	98	33	b	b	NOUN
cana-2190	98	34	-	-	PUNCT
cana-2190	98	35	ground	ground	NOUN
cana-2190	98	36	fault	fault	NOUN
cana-2190	98	37	,	,	PUNCT
cana-2190	98	38	line	line	NOUN
cana-2190	98	39	r	r	NOUN
cana-2190	98	40	-	-	PUNCT
cana-2190	98	41	b	b	NOUN
cana-2190	98	42	-	-	PUNCT
cana-2190	98	43	ground	ground	NOUN
cana-2190	98	44	fault	fault	NOUN
cana-2190	98	45	is	be	AUX
cana-2190	98	46	classified	classify	VERB
cana-2190	98	47	as	as	ADP
cana-2190	98	48	class	class	NOUN
cana-2190	98	49	a	a	NOUN
cana-2190	98	50	,	,	PUNCT
cana-2190	98	51	class	class	NOUN
cana-2190	98	52	b	b	NOUN
cana-2190	98	53	,	,	PUNCT
cana-2190	98	54	class	class	NOUN
cana-2190	98	55	c	c	NOUN
cana-2190	98	56	,	,	PUNCT
cana-2190	98	57	class	class	NOUN
cana-2190	98	58	d	d	PROPN
cana-2190	98	59	,	,	PUNCT
cana-2190	98	60	class	class	NOUN
cana-2190	98	61	e	e	NOUN
cana-2190	98	62	,	,	PUNCT
cana-2190	98	63	class	class	NOUN
cana-2190	98	64	f	f	NOUN
cana-2190	98	65	,	,	PUNCT
cana-2190	98	66	class	class	NOUN
cana-2190	98	67	g	g	NOUN
cana-2190	98	68	,	,	PUNCT
cana-2190	98	69	class	class	NOUN
cana-2190	98	70	h	h	NOUN
cana-2190	98	71	,	,	PUNCT
cana-2190	98	72	class	class	NOUN
cana-2190	98	73	i	i	PROPN
cana-2190	98	74	,	,	PUNCT
cana-2190	98	75	class	class	NOUN
cana-2190	98	76	j	j	PROPN
cana-2190	98	77	respectively	respectively	ADV
cana-2190	98	78	.	.	PUNCT
cana-2190	99	1	because	because	SCONJ
cana-2190	99	2	the	the	DET
cana-2190	99	3	types	type	NOUN
cana-2190	99	4	of	of	ADP
cana-2190	99	5	defects	defect	NOUN
cana-2190	99	6	are	be	AUX
cana-2190	99	7	unique	unique	ADJ
cana-2190	99	8	,	,	PUNCT
cana-2190	99	9	the	the	DET
cana-2190	99	10	classifier	classifier	NOUN
cana-2190	99	11	may	may	AUX
cana-2190	99	12	be	be	AUX
cana-2190	99	13	trained	train	VERB
cana-2190	99	14	using	use	VERB
cana-2190	99	15	the	the	DET
cana-2190	99	16	supplied	supply	VERB
cana-2190	99	17	data	datum	NOUN
cana-2190	99	18	.	.	PUNCT
cana-2190	100	1	the	the	DET
cana-2190	100	2	classifier	classifier	NOUN
cana-2190	100	3	is	be	AUX
cana-2190	100	4	trained	train	VERB
cana-2190	100	5	using	use	VERB
cana-2190	100	6	a	a	DET
cana-2190	100	7	dataset	dataset	NOUN
cana-2190	100	8	of	of	ADP
cana-2190	100	9	fault	fault	NOUN
cana-2190	100	10	simulations	simulation	NOUN
cana-2190	100	11	to	to	PART
cana-2190	100	12	accurately	accurately	ADV
cana-2190	100	13	identify	identify	VERB
cana-2190	100	14	and	and	CCONJ
cana-2190	100	15	categorize	categorize	VERB
cana-2190	100	16	different	different	ADJ
cana-2190	100	17	fault	fault	NOUN
cana-2190	100	18	types	type	NOUN
cana-2190	100	19	.	.	PUNCT
cana-2190	101	1	4	4	X
cana-2190	101	2	.	.	X
cana-2190	101	3	results	result	VERB
cana-2190	101	4	this	this	DET
cana-2190	101	5	research	research	NOUN
cana-2190	101	6	proposes	propose	VERB
cana-2190	101	7	a	a	DET
cana-2190	101	8	machine	machine	NOUN
cana-2190	101	9	learning	learning	NOUN
cana-2190	101	10	-	-	PUNCT
cana-2190	101	11	based	base	VERB
cana-2190	101	12	approach	approach	NOUN
cana-2190	101	13	for	for	ADP
cana-2190	101	14	detecting	detect	VERB
cana-2190	101	15	and	and	CCONJ
cana-2190	101	16	classifying	classify	VERB
cana-2190	101	17	faults	fault	NOUN
cana-2190	101	18	in	in	ADP
cana-2190	101	19	a	a	DET
cana-2190	101	20	power	power	NOUN
cana-2190	101	21	transmission	transmission	NOUN
cana-2190	101	22	system	system	NOUN
cana-2190	101	23	.	.	PUNCT
cana-2190	102	1	using	use	VERB
cana-2190	102	2	the	the	DET
cana-2190	102	3	ieee	ieee	NOUN
cana-2190	102	4	14	14	NUM
cana-2190	102	5	-	-	PUNCT
cana-2190	102	6	bus	bus	NOUN
cana-2190	102	7	power	power	NOUN
cana-2190	102	8	grid	grid	NOUN
cana-2190	102	9	model	model	NOUN
cana-2190	102	10	as	as	ADP
cana-2190	102	11	a	a	DET
cana-2190	102	12	simulation	simulation	NOUN
cana-2190	102	13	platform	platform	NOUN
cana-2190	102	14	,	,	PUNCT
cana-2190	102	15	a	a	DET
cana-2190	102	16	two	two	NUM
cana-2190	102	17	-	-	PUNCT
cana-2190	102	18	layer	layer	NOUN
cana-2190	102	19	strategy	strategy	NOUN
cana-2190	102	20	is	be	AUX
cana-2190	102	21	employed	employ	VERB
cana-2190	102	22	to	to	PART
cana-2190	102	23	accurately	accurately	ADV
cana-2190	102	24	identify	identify	VERB
cana-2190	102	25	and	and	CCONJ
cana-2190	102	26	categorize	categorize	VERB
cana-2190	102	27	faults	fault	NOUN
cana-2190	102	28	on	on	ADP
cana-2190	102	29	transmission	transmission	NOUN
cana-2190	102	30	lines	line	NOUN
cana-2190	102	31	.	.	PUNCT
cana-2190	103	1	a	a	DET
cana-2190	103	2	knearest	knearest	NOUN
cana-2190	103	3	neighbors	neighbor	NOUN
cana-2190	103	4	(	(	PUNCT
cana-2190	103	5	knn	knn	PROPN
cana-2190	103	6	)	)	PUNCT
cana-2190	103	7	classifier	classifier	NOUN
cana-2190	103	8	is	be	AUX
cana-2190	103	9	developed	develop	VERB
cana-2190	103	10	to	to	PART
cana-2190	103	11	identify	identify	VERB
cana-2190	103	12	fault	fault	NOUN
cana-2190	103	13	types	type	NOUN
cana-2190	103	14	.	.	PUNCT
cana-2190	104	1	the	the	DET
cana-2190	104	2	model	model	NOUN
cana-2190	104	3	is	be	AUX
cana-2190	104	4	trained	train	VERB
cana-2190	104	5	on	on	ADP
cana-2190	104	6	a	a	DET
cana-2190	104	7	variety	variety	NOUN
cana-2190	104	8	of	of	ADP
cana-2190	104	9	fault	fault	NOUN
cana-2190	104	10	scenarios	scenario	NOUN
cana-2190	104	11	to	to	PART
cana-2190	104	12	ensure	ensure	VERB
cana-2190	104	13	accurate	accurate	ADJ
cana-2190	104	14	classification	classification	NOUN
cana-2190	104	15	.	.	PUNCT
cana-2190	105	1	the	the	DET
cana-2190	105	2	simulation	simulation	NOUN
cana-2190	105	3	is	be	AUX
cana-2190	105	4	conducted	conduct	VERB
cana-2190	105	5	using	use	VERB
cana-2190	105	6	matlab	matlab	PROPN
cana-2190	105	7	.	.	PUNCT
cana-2190	106	1	to	to	PART
cana-2190	106	2	evaluate	evaluate	VERB
cana-2190	106	3	the	the	DET
cana-2190	106	4	model	model	NOUN
cana-2190	106	5	's	's	PART
cana-2190	106	6	performance	performance	NOUN
cana-2190	106	7	,	,	PUNCT
cana-2190	106	8	a	a	DET
cana-2190	106	9	series	series	NOUN
cana-2190	106	10	of	of	ADP
cana-2190	106	11	tests	test	NOUN
cana-2190	106	12	are	be	AUX
cana-2190	106	13	performed	perform	VERB
cana-2190	106	14	,	,	PUNCT
cana-2190	106	15	and	and	CCONJ
cana-2190	106	16	the	the	DET
cana-2190	106	17	results	result	NOUN
cana-2190	106	18	,	,	PUNCT
cana-2190	106	19	including	include	VERB
cana-2190	106	20	identified	identify	VERB
cana-2190	106	21	fault	fault	NOUN
cana-2190	106	22	classes	class	NOUN
cana-2190	106	23	and	and	CCONJ
cana-2190	106	24	current	current	ADJ
cana-2190	106	25	amplitudes	amplitude	NOUN
cana-2190	106	26	,	,	PUNCT
cana-2190	106	27	are	be	AUX
cana-2190	106	28	presented	present	VERB
cana-2190	106	29	in	in	ADP
cana-2190	106	30	excel	excel	NOUN
cana-2190	106	31	format	format	NOUN
cana-2190	106	32	.	.	PUNCT
cana-2190	107	1	figures	figure	NOUN
cana-2190	107	2	2	2	NUM
cana-2190	107	3	and	and	CCONJ
cana-2190	107	4	3	3	NUM
cana-2190	107	5	illustrate	illustrate	VERB
cana-2190	107	6	the	the	DET
cana-2190	107	7	simulated	simulate	VERB
cana-2190	107	8	responses	response	NOUN
cana-2190	107	9	for	for	ADP
cana-2190	107	10	a	a	DET
cana-2190	107	11	200	200	NUM
cana-2190	107	12	km	km	NOUN
cana-2190	107	13	transmission	transmission	NOUN
cana-2190	107	14	line	line	NOUN
cana-2190	107	15	with	with	ADP
cana-2190	107	16	fault	fault	NOUN
cana-2190	107	17	resistances	resistance	NOUN
cana-2190	107	18	of	of	ADP
cana-2190	107	19	0.002	0.002	NUM
cana-2190	107	20	ohms	ohm	NOUN
cana-2190	107	21	and	and	CCONJ
cana-2190	107	22	0.2	0.2	NUM
cana-2190	107	23	ohms	ohm	NOUN
cana-2190	107	24	,	,	PUNCT
cana-2190	107	25	respectively	respectively	ADV
cana-2190	107	26	,	,	PUNCT
cana-2190	107	27	as	as	SCONJ
cana-2190	107	28	determined	determine	VERB
cana-2190	107	29	by	by	ADP
cana-2190	107	30	the	the	DET
cana-2190	107	31	knn	knn	PROPN
cana-2190	107	32	algorithm	algorithm	PROPN
cana-2190	107	33	.	.	PUNCT
cana-2190	108	1	knn	knn	PROPN
cana-2190	108	2	classification	classification	NOUN
cana-2190	108	3	results	result	NOUN
cana-2190	108	4	for	for	ADP
cana-2190	108	5	a	a	DET
cana-2190	108	6	200	200	NUM
cana-2190	108	7	km	km	NOUN
cana-2190	108	8	transmission	transmission	NOUN
cana-2190	108	9	line	line	NOUN
cana-2190	108	10	with	with	ADP
cana-2190	108	11	a	a	DET
cana-2190	108	12	fault	fault	NOUN
cana-2190	108	13	resistance	resistance	NOUN
cana-2190	108	14	of	of	ADP
cana-2190	108	15	0.002	0.002	NUM
cana-2190	108	16	ohms	ohm	NOUN
cana-2190	108	17	is	be	AUX
cana-2190	108	18	shown	show	VERB
cana-2190	108	19	in	in	ADP
cana-2190	108	20	figure	figure	NOUN
cana-2190	108	21	2	2	NUM
cana-2190	108	22	.	.	PUNCT
cana-2190	108	23	fig	fig	NOUN
cana-2190	108	24	2	2	NUM
cana-2190	108	25	:	:	PUNCT
cana-2190	108	26	simulated	simulate	VERB
cana-2190	108	27	response	response	NOUN
cana-2190	108	28	for	for	ADP
cana-2190	108	29	200	200	NUM
cana-2190	108	30	km	km	NOUN
cana-2190	108	31	,	,	PUNCT
cana-2190	108	32	0.002	0.002	NUM
cana-2190	108	33	ohms	ohm	NOUN
cana-2190	108	34	of	of	ADP
cana-2190	108	35	fault	fault	NOUN
cana-2190	108	36	resistance	resistance	NOUN
cana-2190	108	37	based	base	VERB
cana-2190	108	38	on	on	ADP
cana-2190	108	39	knn	knn	PROPN
cana-2190	108	40	findings	findings	PROPN
cana-2190	108	41	knn	knn	PROPN
cana-2190	109	1	classification	classification	NOUN
cana-2190	109	2	results	result	NOUN
cana-2190	109	3	for	for	ADP
cana-2190	109	4	the	the	DET
cana-2190	109	5	same	same	ADJ
cana-2190	109	6	transmission	transmission	NOUN
cana-2190	109	7	line	line	NOUN
cana-2190	109	8	with	with	ADP
cana-2190	109	9	a	a	DET
cana-2190	109	10	fault	fault	NOUN
cana-2190	109	11	resistance	resistance	NOUN
cana-2190	109	12	of	of	ADP
cana-2190	109	13	0.2	0.2	NUM
cana-2190	109	14	ohms	ohm	NOUN
cana-2190	109	15	,	,	PUNCT
cana-2190	109	16	using	use	VERB
cana-2190	109	17	the	the	DET
cana-2190	109	18	updated	update	VERB
cana-2190	109	19	class	class	NOUN
cana-2190	109	20	labels	label	NOUN
cana-2190	109	21	from	from	ADP
cana-2190	109	22	the	the	DET
cana-2190	109	23	previous	previous	ADJ
cana-2190	109	24	scenario	scenario	NOUN
cana-2190	109	25	are	be	AUX
cana-2190	109	26	illustrated	illustrate	VERB
cana-2190	109	27	below	below	ADV
cana-2190	109	28	in	in	ADP
cana-2190	109	29	figure	figure	NOUN
cana-2190	109	30	3	3	NUM
cana-2190	109	31	.	.	PUNCT
cana-2190	110	1	communications	communication	NOUN
cana-2190	110	2	on	on	ADP
cana-2190	110	3	applied	apply	VERB
cana-2190	110	4	nonlinear	nonlinear	ADJ
cana-2190	110	5	analysis	analysis	NOUN
cana-2190	110	6	issn	issn	NOUN
cana-2190	110	7	:	:	PUNCT
cana-2190	110	8	1074	1074	NUM
cana-2190	110	9	-	-	PUNCT
cana-2190	110	10	133x	133x	NUM
cana-2190	110	11	vol	vol	NOUN
cana-2190	110	12	32	32	NUM
cana-2190	110	13	no	no	NOUN
cana-2190	110	14	.	.	PUNCT
cana-2190	111	1	1s	1s	NUM
cana-2190	111	2	(	(	PUNCT
cana-2190	111	3	2025	2025	NUM
cana-2190	111	4	)	)	PUNCT
cana-2190	111	5	351	351	NUM
cana-2190	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	111	7	fig	fig	NOUN
cana-2190	111	8	3	3	NUM
cana-2190	111	9	:	:	PUNCT
cana-2190	111	10	simulated	simulate	VERB
cana-2190	111	11	response	response	NOUN
cana-2190	111	12	for	for	ADP
cana-2190	111	13	200	200	NUM
cana-2190	111	14	km	km	NOUN
cana-2190	111	15	,	,	PUNCT
cana-2190	111	16	0.2	0.2	NUM
cana-2190	111	17	ohms	ohm	NOUN
cana-2190	111	18	of	of	ADP
cana-2190	111	19	fault	fault	NOUN
cana-2190	111	20	resistance	resistance	NOUN
cana-2190	111	21	based	base	VERB
cana-2190	111	22	on	on	ADP
cana-2190	111	23	knn	knn	PROPN
cana-2190	111	24	findings	finding	NOUN
cana-2190	111	25	by	by	ADP
cana-2190	111	26	leveraging	leverage	VERB
cana-2190	111	27	the	the	DET
cana-2190	111	28	knn	knn	PROPN
cana-2190	111	29	algorithm	algorithm	NOUN
cana-2190	111	30	and	and	CCONJ
cana-2190	111	31	a	a	DET
cana-2190	111	32	comprehensive	comprehensive	ADJ
cana-2190	111	33	training	training	NOUN
cana-2190	111	34	dataset	dataset	NOUN
cana-2190	111	35	,	,	PUNCT
cana-2190	111	36	this	this	DET
cana-2190	111	37	study	study	NOUN
cana-2190	111	38	demonstrates	demonstrate	VERB
cana-2190	111	39	the	the	DET
cana-2190	111	40	feasibility	feasibility	NOUN
cana-2190	111	41	of	of	ADP
cana-2190	111	42	accurately	accurately	ADV
cana-2190	111	43	detecting	detect	VERB
cana-2190	111	44	and	and	CCONJ
cana-2190	111	45	classifying	classify	VERB
cana-2190	111	46	faults	fault	NOUN
cana-2190	111	47	in	in	ADP
cana-2190	111	48	power	power	NOUN
cana-2190	111	49	transmission	transmission	NOUN
cana-2190	111	50	systems	system	NOUN
cana-2190	111	51	,	,	PUNCT
cana-2190	111	52	contributing	contribute	VERB
cana-2190	111	53	to	to	ADP
cana-2190	111	54	improved	improved	ADJ
cana-2190	111	55	system	system	NOUN
cana-2190	111	56	reliability	reliability	NOUN
cana-2190	111	57	and	and	CCONJ
cana-2190	111	58	operational	operational	ADJ
cana-2190	111	59	efficiency	efficiency	NOUN
cana-2190	111	60	.	.	PUNCT
cana-2190	112	1	5	5	X
cana-2190	112	2	.	.	X
cana-2190	112	3	conclusion	conclusion	NOUN
cana-2190	112	4	this	this	DET
cana-2190	112	5	paper	paper	NOUN
cana-2190	112	6	presented	present	VERB
cana-2190	112	7	a	a	DET
cana-2190	112	8	novel	novel	ADJ
cana-2190	112	9	approach	approach	NOUN
cana-2190	112	10	for	for	ADP
cana-2190	112	11	fault	fault	NOUN
cana-2190	112	12	detection	detection	NOUN
cana-2190	112	13	and	and	CCONJ
cana-2190	112	14	classification	classification	NOUN
cana-2190	112	15	in	in	ADP
cana-2190	112	16	power	power	NOUN
cana-2190	112	17	systems	system	NOUN
cana-2190	112	18	using	use	VERB
cana-2190	112	19	a	a	DET
cana-2190	112	20	semi	semi	ADJ
cana-2190	112	21	-	-	ADJ
cana-2190	112	22	supervised	supervised	ADJ
cana-2190	112	23	k	k	ADV
cana-2190	112	24	-	-	PUNCT
cana-2190	112	25	nearest	near	ADJ
cana-2190	112	26	neighbor	neighbor	NOUN
cana-2190	112	27	(	(	PUNCT
cana-2190	112	28	knn	knn	PROPN
cana-2190	112	29	)	)	PUNCT
cana-2190	112	30	algorithm	algorithm	NOUN
cana-2190	112	31	.	.	PUNCT
cana-2190	113	1	the	the	DET
cana-2190	113	2	proposed	propose	VERB
cana-2190	113	3	method	method	NOUN
cana-2190	113	4	effectively	effectively	ADV
cana-2190	113	5	utilizes	utilize	VERB
cana-2190	113	6	both	both	PRON
cana-2190	113	7	labelled	label	VERB
cana-2190	113	8	and	and	CCONJ
cana-2190	113	9	unlabelled	unlabelled	ADJ
cana-2190	113	10	data	datum	NOUN
cana-2190	113	11	,	,	PUNCT
cana-2190	113	12	overcoming	overcome	VERB
cana-2190	113	13	limitations	limitation	NOUN
cana-2190	113	14	associated	associate	VERB
cana-2190	113	15	with	with	ADP
cana-2190	113	16	traditional	traditional	ADJ
cana-2190	113	17	supervised	supervised	ADJ
cana-2190	113	18	learning	learning	NOUN
cana-2190	113	19	methods	method	NOUN
cana-2190	113	20	that	that	PRON
cana-2190	113	21	require	require	VERB
cana-2190	113	22	large	large	ADJ
cana-2190	113	23	amounts	amount	NOUN
cana-2190	113	24	of	of	ADP
cana-2190	113	25	labelled	label	VERB
cana-2190	113	26	data	datum	NOUN
cana-2190	113	27	.	.	PUNCT
cana-2190	114	1	the	the	DET
cana-2190	114	2	knn	knn	PROPN
cana-2190	114	3	classifier	classifier	PROPN
cana-2190	114	4	model	model	PROPN
cana-2190	114	5	was	be	AUX
cana-2190	114	6	trained	train	VERB
cana-2190	114	7	on	on	ADP
cana-2190	114	8	a	a	DET
cana-2190	114	9	diverse	diverse	ADJ
cana-2190	114	10	set	set	NOUN
cana-2190	114	11	of	of	ADP
cana-2190	114	12	fault	fault	NOUN
cana-2190	114	13	scenarios	scenario	NOUN
cana-2190	114	14	and	and	CCONJ
cana-2190	114	15	it	it	PRON
cana-2190	114	16	demonstrates	demonstrate	VERB
cana-2190	114	17	high	high	ADJ
cana-2190	114	18	accuracy	accuracy	NOUN
cana-2190	114	19	in	in	ADP
cana-2190	114	20	identifying	identify	VERB
cana-2190	114	21	and	and	CCONJ
cana-2190	114	22	categorizing	categorize	VERB
cana-2190	114	23	various	various	ADJ
cana-2190	114	24	fault	fault	NOUN
cana-2190	114	25	types	type	NOUN
cana-2190	114	26	,	,	PUNCT
cana-2190	114	27	including	include	VERB
cana-2190	114	28	those	those	PRON
cana-2190	114	29	with	with	ADP
cana-2190	114	30	varying	vary	VERB
cana-2190	114	31	fault	fault	NOUN
cana-2190	114	32	resistances	resistance	NOUN
cana-2190	114	33	and	and	CCONJ
cana-2190	114	34	locations	location	NOUN
cana-2190	114	35	.	.	PUNCT
cana-2190	115	1	the	the	DET
cana-2190	115	2	knn	knn	PROPN
cana-2190	115	3	classifier	classifier	PROPN
cana-2190	115	4	integrated	integrate	VERB
cana-2190	115	5	with	with	ADP
cana-2190	115	6	a	a	DET
cana-2190	115	7	nonlinear	nonlinear	ADJ
cana-2190	115	8	variational	variational	ADJ
cana-2190	115	9	inequality	inequality	NOUN
cana-2190	115	10	framework	framework	NOUN
cana-2190	115	11	,	,	PUNCT
cana-2190	115	12	identified	identify	VERB
cana-2190	115	13	fault	fault	NOUN
cana-2190	115	14	types	type	NOUN
cana-2190	115	15	on	on	ADP
cana-2190	115	16	a	a	DET
cana-2190	115	17	simulated	simulate	VERB
cana-2190	115	18	200	200	NUM
cana-2190	115	19	km	km	NOUN
cana-2190	115	20	transmission	transmission	NOUN
cana-2190	115	21	line	line	NOUN
cana-2190	115	22	under	under	ADP
cana-2190	115	23	diverse	diverse	ADJ
cana-2190	115	24	fault	fault	NOUN
cana-2190	115	25	conditions	condition	NOUN
cana-2190	115	26	.	.	PUNCT
cana-2190	116	1	the	the	DET
cana-2190	116	2	inherent	inherent	ADJ
cana-2190	116	3	nonlinearity	nonlinearity	NOUN
cana-2190	116	4	of	of	ADP
cana-2190	116	5	power	power	NOUN
cana-2190	116	6	system	system	NOUN
cana-2190	116	7	dynamics	dynamic	NOUN
cana-2190	116	8	is	be	AUX
cana-2190	116	9	robustly	robustly	ADV
cana-2190	116	10	captured	capture	VERB
cana-2190	116	11	,	,	PUNCT
cana-2190	116	12	enabling	enable	VERB
cana-2190	116	13	the	the	DET
cana-2190	116	14	knn	knn	PROPN
cana-2190	116	15	classifier	classifier	NOUN
cana-2190	116	16	to	to	PART
cana-2190	116	17	adapt	adapt	VERB
cana-2190	116	18	to	to	ADP
cana-2190	116	19	changing	change	VERB
cana-2190	116	20	fault	fault	NOUN
cana-2190	116	21	patterns	pattern	NOUN
cana-2190	116	22	and	and	CCONJ
cana-2190	116	23	emerging	emerge	VERB
cana-2190	116	24	fault	fault	NOUN
cana-2190	116	25	types	type	NOUN
cana-2190	116	26	.	.	PUNCT
cana-2190	117	1	the	the	DET
cana-2190	117	2	results	result	NOUN
cana-2190	117	3	obtained	obtain	VERB
cana-2190	117	4	through	through	ADP
cana-2190	117	5	extensive	extensive	ADJ
cana-2190	117	6	simulations	simulation	NOUN
cana-2190	117	7	validate	validate	VERB
cana-2190	117	8	the	the	DET
cana-2190	117	9	effectiveness	effectiveness	NOUN
cana-2190	117	10	of	of	ADP
cana-2190	117	11	the	the	DET
cana-2190	117	12	proposed	propose	VERB
cana-2190	117	13	approach	approach	NOUN
cana-2190	117	14	in	in	ADP
cana-2190	117	15	improving	improve	VERB
cana-2190	117	16	power	power	NOUN
cana-2190	117	17	system	system	NOUN
cana-2190	117	18	reliability	reliability	NOUN
cana-2190	117	19	and	and	CCONJ
cana-2190	117	20	operational	operational	ADJ
cana-2190	117	21	efficiency	efficiency	NOUN
cana-2190	117	22	.	.	PUNCT
cana-2190	118	1	by	by	ADP
cana-2190	118	2	enabling	enable	VERB
cana-2190	118	3	timely	timely	ADJ
cana-2190	118	4	fault	fault	NOUN
cana-2190	118	5	detection	detection	NOUN
cana-2190	118	6	and	and	CCONJ
cana-2190	118	7	response	response	NOUN
cana-2190	118	8	,	,	PUNCT
cana-2190	118	9	this	this	DET
cana-2190	118	10	method	method	NOUN
cana-2190	118	11	contributes	contribute	VERB
cana-2190	118	12	to	to	ADP
cana-2190	118	13	minimizing	minimize	VERB
cana-2190	118	14	system	system	NOUN
cana-2190	118	15	disruptions	disruption	NOUN
cana-2190	118	16	and	and	CCONJ
cana-2190	118	17	enhancing	enhance	VERB
cana-2190	118	18	the	the	DET
cana-2190	118	19	overall	overall	ADJ
cana-2190	118	20	resilience	resilience	NOUN
cana-2190	118	21	of	of	ADP
cana-2190	118	22	power	power	NOUN
cana-2190	118	23	systems	system	NOUN
cana-2190	118	24	.	.	PUNCT
cana-2190	119	1	while	while	SCONJ
cana-2190	119	2	the	the	DET
cana-2190	119	3	proposed	propose	VERB
cana-2190	119	4	method	method	NOUN
cana-2190	119	5	shows	show	VERB
cana-2190	119	6	promising	promise	VERB
cana-2190	119	7	results	result	NOUN
cana-2190	119	8	,	,	PUNCT
cana-2190	119	9	future	future	ADJ
cana-2190	119	10	research	research	NOUN
cana-2190	119	11	can	can	AUX
cana-2190	119	12	explore	explore	VERB
cana-2190	119	13	the	the	DET
cana-2190	119	14	following	follow	VERB
cana-2190	119	15	avenues	avenue	NOUN
cana-2190	119	16	to	to	PART
cana-2190	119	17	further	far	ADV
cana-2190	119	18	improve	improve	VERB
cana-2190	119	19	its	its	PRON
cana-2190	119	20	performance	performance	NOUN
cana-2190	119	21	and	and	CCONJ
cana-2190	119	22	applicability	applicability	NOUN
cana-2190	119	23	:	:	PUNCT
cana-2190	119	24	•	•	NUM
cana-2190	119	25	developing	develop	VERB
cana-2190	119	26	real	real	ADJ
cana-2190	119	27	-	-	PUNCT
cana-2190	119	28	time	time	NOUN
cana-2190	119	29	fault	fault	NOUN
cana-2190	119	30	detection	detection	NOUN
cana-2190	119	31	and	and	CCONJ
cana-2190	119	32	classification	classification	NOUN
cana-2190	119	33	systems	system	NOUN
cana-2190	119	34	that	that	PRON
cana-2190	119	35	can	can	AUX
cana-2190	119	36	quickly	quickly	ADV
cana-2190	119	37	identify	identify	VERB
cana-2190	119	38	and	and	CCONJ
cana-2190	119	39	respond	respond	VERB
cana-2190	119	40	to	to	ADP
cana-2190	119	41	faults	fault	NOUN
cana-2190	119	42	.	.	PUNCT
cana-2190	120	1	•	•	NOUN
cana-2190	120	2	incorporating	incorporate	VERB
cana-2190	120	3	deep	deep	ADJ
cana-2190	120	4	learning	learning	NOUN
cana-2190	120	5	and	and	CCONJ
cana-2190	120	6	ensemble	ensemble	ADJ
cana-2190	120	7	methods	method	NOUN
cana-2190	120	8	to	to	PART
cana-2190	120	9	enhance	enhance	VERB
cana-2190	120	10	the	the	DET
cana-2190	120	11	accuracy	accuracy	NOUN
cana-2190	120	12	and	and	CCONJ
cana-2190	120	13	robustness	robustness	NOUN
cana-2190	120	14	of	of	ADP
cana-2190	120	15	the	the	DET
cana-2190	120	16	classifier	classifier	NOUN
cana-2190	120	17	.	.	PUNCT
cana-2190	121	1	•	•	NUM
cana-2190	121	2	integrating	integrate	VERB
cana-2190	121	3	iot	iot	NOUN
cana-2190	121	4	and	and	CCONJ
cana-2190	121	5	sensor	sensor	NOUN
cana-2190	121	6	data	datum	NOUN
cana-2190	121	7	to	to	PART
cana-2190	121	8	improve	improve	VERB
cana-2190	121	9	the	the	DET
cana-2190	121	10	granularity	granularity	NOUN
cana-2190	121	11	of	of	ADP
cana-2190	121	12	fault	fault	NOUN
cana-2190	121	13	detection	detection	NOUN
cana-2190	121	14	and	and	CCONJ
cana-2190	121	15	enable	enable	VERB
cana-2190	121	16	predictive	predictive	ADJ
cana-2190	121	17	maintenance	maintenance	NOUN
cana-2190	121	18	.	.	PUNCT
cana-2190	122	1	by	by	ADP
cana-2190	122	2	continuously	continuously	ADV
cana-2190	122	3	advancing	advance	VERB
cana-2190	122	4	the	the	DET
cana-2190	122	5	fault	fault	NOUN
cana-2190	122	6	detection	detection	NOUN
cana-2190	122	7	and	and	CCONJ
cana-2190	122	8	classification	classification	NOUN
cana-2190	122	9	,	,	PUNCT
cana-2190	122	10	we	we	PRON
cana-2190	122	11	can	can	AUX
cana-2190	122	12	further	far	ADV
cana-2190	122	13	enhance	enhance	VERB
cana-2190	122	14	the	the	DET
cana-2190	122	15	reliability	reliability	NOUN
cana-2190	122	16	and	and	CCONJ
cana-2190	122	17	resilience	resilience	NOUN
cana-2190	122	18	of	of	ADP
cana-2190	122	19	power	power	NOUN
cana-2190	122	20	systems	system	NOUN
cana-2190	122	21	,	,	PUNCT
cana-2190	122	22	ensuring	ensure	VERB
cana-2190	122	23	a	a	DET
cana-2190	122	24	secure	secure	ADJ
cana-2190	122	25	and	and	CCONJ
cana-2190	122	26	sustainable	sustainable	ADJ
cana-2190	122	27	energy	energy	NOUN
cana-2190	122	28	future	future	NOUN
cana-2190	122	29	.	.	PUNCT
cana-2190	123	1	communications	communication	NOUN
cana-2190	123	2	on	on	ADP
cana-2190	123	3	applied	apply	VERB
cana-2190	123	4	nonlinear	nonlinear	ADJ
cana-2190	123	5	analysis	analysis	NOUN
cana-2190	123	6	issn	issn	NOUN
cana-2190	123	7	:	:	PUNCT
cana-2190	123	8	1074	1074	NUM
cana-2190	123	9	-	-	PUNCT
cana-2190	123	10	133x	133x	NUM
cana-2190	123	11	vol	vol	NOUN
cana-2190	123	12	32	32	NUM
cana-2190	123	13	no	no	NOUN
cana-2190	123	14	.	.	PUNCT
cana-2190	124	1	1s	1s	NUM
cana-2190	124	2	(	(	PUNCT
cana-2190	124	3	2025	2025	NUM
cana-2190	124	4	)	)	PUNCT
cana-2190	124	5	352	352	NUM
cana-2190	124	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2190	124	7	references	reference	NOUN
cana-2190	124	8	[	[	X
cana-2190	124	9	1	1	NUM
cana-2190	124	10	]	]	PUNCT
cana-2190	124	11	sourabh	sourabh	PROPN
cana-2190	124	12	kumar	kumar	PROPN
cana-2190	124	13	,	,	PUNCT
cana-2190	124	14	albert	albert	PROPN
cana-2190	124	15	john	john	PROPN
cana-2190	124	16	varghese	varghese	PROPN
cana-2190	124	17	,	,	PUNCT
cana-2190	124	18	rejo	rejo	PROPN
cana-2190	124	19	roy	roy	PROPN
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cana-2190	124	39	grid	grid	NOUN
cana-2190	124	40	for	for	ADP
cana-2190	124	41	integrated	integrate	VERB
cana-2190	124	42	load	load	NOUN
cana-2190	124	43	supply	supply	NOUN
cana-2190	124	44	”	"	PUNCT
cana-2190	124	45	,	,	PUNCT
cana-2190	124	46	international	international	ADJ
cana-2190	124	47	journal	journal	NOUN
cana-2190	124	48	of	of	ADP
cana-2190	124	49	intelligent	intelligent	ADJ
cana-2190	124	50	systems	system	NOUN
cana-2190	124	51	and	and	CCONJ
cana-2190	124	52	applications	application	NOUN
cana-2190	124	53	in	in	ADP
cana-2190	124	54	engineering	engineering	NOUN
cana-2190	124	55	,	,	PUNCT
cana-2190	124	56	vol	vol	NOUN
cana-2190	124	57	.	.	PUNCT
cana-2190	125	1	12(4s	12(4s	NUM
cana-2190	125	2	)	)	PUNCT
cana-2190	125	3	,	,	PUNCT
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cana-2190	126	1	545–551	545–551	NUM
cana-2190	126	2	(	(	PUNCT
cana-2190	126	3	2024	2024	NUM
cana-2190	126	4	)	)	PUNCT
cana-2190	127	1	[	[	X
cana-2190	127	2	2	2	X
cana-2190	127	3	]	]	PUNCT
cana-2190	127	4	h.	h.	PROPN
cana-2190	127	5	a.	a.	PROPN
cana-2190	127	6	tokel	tokel	PROPN
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cana-2190	127	8	r.	r.	PROPN
cana-2190	127	9	a.	a.	PROPN
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cana-2190	127	11	,	,	PUNCT
cana-2190	127	12	g.	g.	PROPN
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cana-2190	127	14	and	and	CCONJ
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cana-2190	127	22	for	for	ADP
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cana-2190	127	30	classification	classification	NOUN
cana-2190	127	31	in	in	ADP
cana-2190	127	32	power	power	NOUN
cana-2190	127	33	systems	system	NOUN
cana-2190	127	34	,	,	PUNCT
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cana-2190	127	36	2018	2018	NUM
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cana-2190	127	43	smart	smart	ADJ
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cana-2190	127	45	technologies	technology	NOUN
cana-2190	127	46	conference	conference	PROPN
cana-2190	127	47	,	,	PUNCT
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cana-2190	127	49	,	,	PUNCT
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cana-2190	127	59	,	,	PUNCT
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cana-2190	127	61	.	.	PUNCT
cana-2190	128	1	1	1	NUM
cana-2190	128	2	-	-	SYM
cana-2190	128	3	5	5	NUM
cana-2190	128	4	(	(	PUNCT
cana-2190	128	5	2018	2018	NUM
cana-2190	128	6	)	)	PUNCT
cana-2190	129	1	[	[	X
cana-2190	129	2	3	3	NUM
cana-2190	129	3	]	]	X
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cana-2190	129	5	bhattacharya	bhattacharya	NOUN
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cana-2190	129	19	of	of	ADP
cana-2190	129	20	transmission	transmission	NOUN
cana-2190	129	21	lines	line	NOUN
cana-2190	129	22	using	use	VERB
cana-2190	129	23	binary	binary	ADJ
cana-2190	129	24	relevance	relevance	NOUN
cana-2190	129	25	,	,	PUNCT
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cana-2190	129	32	trends	trend	NOUN
cana-2190	129	33	in	in	ADP
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cana-2190	129	36	communication	communication	NOUN
cana-2190	129	37	vol	vol	NOUN
cana-2190	129	38	11(7	11(7	NUM
cana-2190	129	39	)	)	PUNCT
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cana-2190	129	41	pp	pp	ADP
cana-2190	129	42	.	.	PUNCT
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cana-2190	130	2	(	(	PUNCT
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cana-2190	130	4	)	)	PUNCT
cana-2190	131	1	[	[	X
cana-2190	131	2	4	4	NUM
cana-2190	131	3	]	]	ADV
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cana-2190	131	13	s.	s.	PROPN
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cana-2190	131	32	”	"	PUNCT
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cana-2190	131	41	advances	advance	NOUN
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cana-2190	131	44	and	and	CCONJ
cana-2190	131	45	technology	technology	NOUN
cana-2190	131	46	,	,	PUNCT
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cana-2190	131	53	(	(	PUNCT
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cana-2190	131	55	)	)	PUNCT
cana-2190	132	1	[	[	X
cana-2190	132	2	5	5	X
cana-2190	132	3	]	]	X
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cana-2190	132	7	,	,	PUNCT
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cana-2190	133	2	-	-	SYM
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cana-2190	133	5	2018	2018	NUM
cana-2190	133	6	)	)	PUNCT
cana-2190	134	1	[	[	X
cana-2190	134	2	6	6	NUM
cana-2190	134	3	]	]	PUNCT
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cana-2190	134	34	international	international	ADJ
cana-2190	134	35	conference	conference	NOUN
cana-2190	134	36	on	on	ADP
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cana-2190	134	41	(	(	PUNCT
cana-2190	134	42	ictai	ictai	PROPN
cana-2190	134	43	)	)	PUNCT
cana-2190	134	44	,	,	PUNCT
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cana-2190	134	52	/	/	SYM
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cana-2190	136	4	(	(	PUNCT
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cana-2190	136	6	)	)	PUNCT
cana-2190	137	1	[	[	X
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cana-2190	137	13	z.	z.	PROPN
cana-2190	137	14	ye	ye	PROPN
cana-2190	137	15	,	,	PUNCT
cana-2190	137	16	"	"	PUNCT
cana-2190	137	17	fault	fault	VERB
cana-2190	137	18	analysis	analysis	NOUN
cana-2190	137	19	and	and	CCONJ
cana-2190	137	20	prediction	prediction	NOUN
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cana-2190	137	22	transmission	transmission	NOUN
cana-2190	137	23	line	line	NOUN
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cana-2190	137	25	on	on	ADP
cana-2190	137	26	fuzzy	fuzzy	ADJ
cana-2190	137	27	k	k	ADJ
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cana-2190	137	29	nearest	near	ADJ
cana-2190	137	30	neighbor	neighbor	NOUN
cana-2190	137	31	algorithm	algorithm	NOUN
cana-2190	137	32	,	,	PUNCT
cana-2190	137	33	"	"	PUNCT
cana-2190	137	34	2016	2016	NUM
cana-2190	137	35	12th	12th	NOUN
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cana-2190	137	37	conference	conference	NOUN
cana-2190	137	38	on	on	ADP
cana-2190	137	39	natural	natural	ADJ
cana-2190	137	40	computation	computation	NOUN
cana-2190	137	41	,	,	PUNCT
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cana-2190	137	44	and	and	CCONJ
cana-2190	137	45	knowledge	knowledge	NOUN
cana-2190	137	46	discovery	discovery	PROPN
cana-2190	137	47	(	(	PUNCT
cana-2190	137	48	icnc	icnc	ADJ
cana-2190	137	49	-	-	PUNCT
cana-2190	137	50	fskd	fskd	NOUN
cana-2190	137	51	)	)	PUNCT
cana-2190	137	52	,	,	PUNCT
cana-2190	137	53	changsha	changsha	PROPN
cana-2190	137	54	,	,	PUNCT
cana-2190	137	55	china	china	PROPN
cana-2190	137	56	,	,	PUNCT
cana-2190	137	57	doi	doi	PROPN
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cana-2190	137	59	10.1109	10.1109	NUM
cana-2190	137	60	/	/	SYM
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cana-2190	137	62	,	,	PUNCT
cana-2190	137	63	pp	pp	ADJ
cana-2190	137	64	.	.	PUNCT
cana-2190	138	1	894	894	NUM
cana-2190	138	2	-	-	SYM
cana-2190	138	3	899	899	NUM
cana-2190	138	4	(	(	PUNCT
cana-2190	138	5	2016	2016	NUM
cana-2190	138	6	)	)	PUNCT
cana-2190	139	1	[	[	X
cana-2190	139	2	9	9	NUM
cana-2190	139	3	]	]	PUNCT
cana-2190	139	4	vinit	vinit	NOUN
cana-2190	139	5	kumar	kumar	PROPN
cana-2190	139	6	,	,	PUNCT
cana-2190	139	7	rejo	rejo	PROPN
cana-2190	139	8	roy	roy	PROPN
cana-2190	139	9	,	,	PUNCT
cana-2190	139	10	albert	albert	PROPN
cana-2190	139	11	john	john	PROPN
cana-2190	139	12	varghese	varghese	PROPN
cana-2190	139	13	and	and	CCONJ
cana-2190	139	14	debshree	debshree	PROPN
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cana-2190	139	16	,	,	PUNCT
cana-2190	139	17	enhancing	enhance	VERB
cana-2190	139	18	power	power	NOUN
cana-2190	139	19	quality	quality	NOUN
cana-2190	139	20	in	in	ADP
cana-2190	139	21	solar	solar	NOUN
cana-2190	139	22	-	-	PUNCT
cana-2190	139	23	fed	feed	VERB
cana-2190	139	24	cascaded	cascade	VERB
cana-2190	139	25	multilevel	multilevel	NOUN
cana-2190	139	26	inverters	inverter	NOUN
cana-2190	139	27	:	:	PUNCT
cana-2190	139	28	a	a	DET
cana-2190	139	29	comparative	comparative	ADJ
cana-2190	139	30	study	study	NOUN
cana-2190	139	31	of	of	ADP
cana-2190	139	32	fuzzy	fuzzy	ADJ
cana-2190	139	33	logic	logic	NOUN
cana-2190	139	34	and	and	CCONJ
cana-2190	139	35	neural	neural	ADJ
cana-2190	139	36	network	network	NOUN
cana-2190	139	37	controllers	controller	NOUN
cana-2190	139	38	for	for	ADP
cana-2190	139	39	output	output	NOUN
cana-2190	139	40	voltage	voltage	NOUN
cana-2190	139	41	regulation	regulation	NOUN
cana-2190	139	42	,	,	PUNCT
cana-2190	139	43	international	international	ADJ
cana-2190	139	44	journal	journal	NOUN
cana-2190	139	45	of	of	ADP
cana-2190	139	46	intelligent	intelligent	ADJ
cana-2190	139	47	systems	system	NOUN
cana-2190	139	48	and	and	CCONJ
cana-2190	139	49	applications	application	NOUN
cana-2190	139	50	in	in	ADP
cana-2190	139	51	engineering	engineering	NOUN
cana-2190	139	52	:	:	PUNCT
cana-2190	139	53	vol	vol	NOUN
cana-2190	139	54	.	.	PUNCT
cana-2190	140	1	12(8s	12(8s	NUM
cana-2190	140	2	)	)	PUNCT
cana-2190	140	3	,	,	PUNCT
cana-2190	140	4	pp	pp	ADP
cana-2190	140	5	.	.	PUNCT
cana-2190	141	1	395–403	395–403	NUM
cana-2190	141	2	(	(	PUNCT
cana-2190	141	3	2024	2024	NUM
cana-2190	141	4	)	)	PUNCT
cana-2190	142	1	[	[	X
cana-2190	142	2	10	10	NUM
cana-2190	142	3	]	]	X
cana-2190	142	4	m.pavani	m.pavani	PROPN
cana-2190	142	5	,	,	PUNCT
cana-2190	142	6	s.raghunath	s.raghunath	NOUN
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cana-2190	142	8	and	and	CCONJ
cana-2190	142	9	g.ganesh	g.ganesh	NOUN
cana-2190	142	10	,	,	PUNCT
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cana-2190	142	14	in	in	ADP
cana-2190	142	15	transmission	transmission	NOUN
cana-2190	142	16	lines	line	NOUN
cana-2190	142	17	using	use	VERB
cana-2190	142	18	wavelet	wavelet	NOUN
cana-2190	142	19	transform	transform	NOUN
cana-2190	142	20	and	and	CCONJ
cana-2190	142	21	k	k	NOUN
cana-2190	142	22	-	-	PUNCT
cana-2190	142	23	nearest	near	ADJ
cana-2190	142	24	neighbors	neighbor	NOUN
cana-2190	142	25	”	"	PUNCT
cana-2190	142	26	,	,	PUNCT
cana-2190	142	27	international	international	ADJ
cana-2190	142	28	journal	journal	NOUN
cana-2190	142	29	of	of	ADP
cana-2190	142	30	education	education	NOUN
cana-2190	142	31	and	and	CCONJ
cana-2190	142	32	applied	apply	VERB
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cana-2190	142	34	,	,	PUNCT
cana-2190	142	35	vol	vol	NOUN
cana-2190	142	36	.	.	PROPN
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cana-2190	142	38	(	(	PUNCT
cana-2190	142	39	2019	2019	NUM
cana-2190	142	40	)	)	PUNCT
cana-2190	143	1	[	[	X
cana-2190	143	2	11	11	NUM
cana-2190	143	3	]	]	PUNCT
cana-2190	143	4	akanksha	akanksha	PROPN
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cana-2190	143	8	sharma	sharma	PROPN
cana-2190	143	9	,	,	PUNCT
cana-2190	143	10	“	"	PUNCT
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cana-2190	143	12	detection	detection	NOUN
cana-2190	143	13	and	and	CCONJ
cana-2190	143	14	classification	classification	NOUN
cana-2190	143	15	using	use	VERB
cana-2190	143	16	discrete	discrete	ADJ
cana-2190	143	17	wavelet	wavelet	NOUN
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cana-2190	143	19	”	"	PUNCT
cana-2190	143	20	,	,	PUNCT
cana-2190	143	21	international	international	ADJ
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cana-2190	143	23	of	of	ADP
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cana-2190	143	25	and	and	CCONJ
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cana-2190	143	28	,	,	PUNCT
cana-2190	143	29	vol	vol	NOUN
cana-2190	143	30	.	.	PUNCT
cana-2190	144	1	v	v	NOUN
cana-2190	144	2	,	,	PUNCT
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cana-2190	144	4	.	.	PUNCT
cana-2190	145	1	93	93	NUM
cana-2190	145	2	-	-	SYM
cana-2190	145	3	101	101	NUM
cana-2190	145	4	(	(	PUNCT
cana-2190	145	5	2018	2018	NUM
cana-2190	145	6	)	)	PUNCT
cana-2190	146	1	[	[	X
cana-2190	146	2	12	12	NUM
cana-2190	146	3	]	]	PUNCT
cana-2190	146	4	s.	s.	PROPN
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cana-2190	146	7	and	and	CCONJ
cana-2190	146	8	e.	e.	PROPN
cana-2190	146	9	koley	koley	PROPN
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cana-2190	147	2	-	-	SYM
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cana-2190	147	4	(	(	PUNCT
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cana-2190	147	6	)	)	PUNCT
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cana-2190	149	13	.	.	PUNCT
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cana-2190	151	2	-	-	SYM
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cana-2190	151	4	(	(	PUNCT
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cana-2190	151	6	)	)	PUNCT
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cana-2190	153	9	k.	k.	PROPN
cana-2190	153	10	d.	d.	PROPN
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cana-2190	153	12	,	,	PUNCT
cana-2190	153	13	"	"	PUNCT
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cana-2190	153	16	and	and	CCONJ
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cana-2190	153	18	based	base	VERB
cana-2190	153	19	on	on	ADP
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cana-2190	153	21	-	-	ADJ
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cana-2190	153	23	machine	machine	NOUN
cana-2190	153	24	learning	learning	NOUN
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cana-2190	153	26	knn	knn	PROPN
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cana-2190	153	28	"	"	PUNCT
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cana-2190	153	32	on	on	ADP
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cana-2190	153	36	advances	advance	NOUN
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cana-2190	153	39	and	and	CCONJ
cana-2190	153	40	technology	technology	NOUN
cana-2190	153	41	,	,	PUNCT
cana-2190	153	42	shegoaon	shegoaon	PROPN
cana-2190	153	43	,	,	PUNCT
cana-2190	153	44	india	india	PROPN
cana-2190	153	45	,	,	PUNCT
cana-2190	153	46	doi	doi	PROPN
cana-2190	153	47	:	:	PUNCT
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cana-2190	153	49	/	/	SYM
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cana-2190	153	51	,	,	PUNCT
cana-2190	153	52	pp	pp	ADJ
cana-2190	153	53	.	.	PUNCT
cana-2190	154	1	79	79	NUM
cana-2190	154	2	-	-	SYM
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cana-2190	154	4	(	(	PUNCT
cana-2190	154	5	2019	2019	NUM
cana-2190	154	6	)	)	PUNCT
cana-2190	155	1	[	[	X
cana-2190	155	2	15	15	NUM
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cana-2190	155	4	jiahao	jiahao	PROPN
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cana-2190	155	7	lan	lan	PROPN
cana-2190	155	8	cheng	cheng	PROPN
cana-2190	155	9	,	,	PUNCT
cana-2190	155	10	zhile	zhile	PROPN
cana-2190	155	11	yang	yang	PROPN
cana-2190	155	12	,	,	PUNCT
cana-2190	155	13	qinge	qinge	PROPN
cana-2190	155	14	xiao	xiao	PROPN
cana-2190	155	15	,	,	PUNCT
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cana-2190	155	17	khan	khan	PROPN
cana-2190	155	18	,	,	PUNCT
cana-2190	155	19	rui	rui	PROPN
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cana-2190	155	22	xinyu	xinyu	PROPN
cana-2190	155	23	wu	wu	PROPN
cana-2190	155	24	and	and	CCONJ
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cana-2190	155	27	,	,	PUNCT
cana-2190	155	28	“	"	PUNCT
cana-2190	155	29	an	an	DET
cana-2190	155	30	enhanced	enhanced	ADJ
cana-2190	155	31	semi	semi	ADJ
cana-2190	155	32	-	-	ADJ
cana-2190	155	33	supervised	supervised	ADJ
cana-2190	155	34	learning	learning	NOUN
cana-2190	155	35	method	method	NOUN
cana-2190	155	36	with	with	ADP
cana-2190	155	37	self	self	NOUN
cana-2190	155	38	-	-	PUNCT
cana-2190	155	39	supervised	supervise	VERB
cana-2190	155	40	and	and	CCONJ
cana-2190	155	41	adaptive	adaptive	ADJ
cana-2190	155	42	threshold	threshold	NOUN
cana-2190	155	43	for	for	ADP
cana-2190	155	44	fault	fault	NOUN
cana-2190	155	45	detection	detection	NOUN
cana-2190	155	46	and	and	CCONJ
cana-2190	155	47	classification	classification	NOUN
cana-2190	155	48	in	in	ADP
cana-2190	155	49	urban	urban	ADJ
cana-2190	155	50	power	power	NOUN
cana-2190	155	51	grids	grid	NOUN
cana-2190	155	52	”	"	PUNCT
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cana-2190	156	3	]	]	X
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cana-2190	157	2	(	(	PUNCT
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cana-2190	157	4	)	)	PUNCT
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cana-2190	159	2	-	-	SYM
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cana-2190	159	4	(	(	PUNCT
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cana-2190	159	6	)	)	PUNCT
cana-2190	160	1	[	[	X
cana-2190	160	2	18	18	NUM
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cana-2190	161	7	one	one	NUM
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cana-2190	162	15	:	:	PUNCT
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cana-2190	162	17	-	-	SYM
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cana-2190	162	21	-	-	PUNCT
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cana-2190	162	23	-	-	PUNCT
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cana-2190	162	25	,	,	PUNCT
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cana-2190	162	27	.	.	PUNCT
cana-2190	163	1	405	405	NUM
cana-2190	163	2	-	-	SYM
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cana-2190	163	4	(	(	PUNCT
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cana-2190	163	6	)	)	PUNCT
cana-2190	164	1	[	[	X
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cana-2190	167	6	:	:	PUNCT
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