id	sid	tid	token	lemma	pos
ajst-8910	1	1	academic	academic	ADJ
ajst-8910	1	2	journal	journal	NOUN
ajst-8910	1	3	of	of	ADP
ajst-8910	1	4	science	science	NOUN
ajst-8910	1	5	and	and	CCONJ
ajst-8910	1	6	technology	technology	NOUN
ajst-8910	1	7	issn	issn	NOUN
ajst-8910	1	8	:	:	PUNCT
ajst-8910	1	9	2771	2771	NUM
ajst-8910	1	10	-	-	SYM
ajst-8910	1	11	3032	3032	NUM
ajst-8910	1	12	|	|	NOUN
ajst-8910	1	13	vol	vol	NOUN
ajst-8910	1	14	.	.	PROPN
ajst-8910	2	1	6	6	NUM
ajst-8910	2	2	,	,	PUNCT
ajst-8910	2	3	no	no	INTJ
ajst-8910	2	4	.	.	NOUN
ajst-8910	2	5	1	1	NUM
ajst-8910	2	6	,	,	PUNCT
ajst-8910	2	7	2023	2023	NUM
ajst-8910	2	8	103	103	NUM
ajst-8910	2	9	fault	fault	NOUN
ajst-8910	2	10	detection	detection	NOUN
ajst-8910	2	11	based	base	VERB
ajst-8910	2	12	on	on	ADP
ajst-8910	2	13	complete	complete	ADJ
ajst-8910	2	14	information	information	NOUN
ajst-8910	2	15	principal	principal	NOUN
ajst-8910	2	16	component	component	NOUN
ajst-8910	2	17	analysis	analysis	NOUN
ajst-8910	2	18	for	for	ADP
ajst-8910	2	19	electric	electric	ADJ
ajst-8910	2	20	submersible	submersible	ADJ
ajst-8910	2	21	pump	pump	PROPN
ajst-8910	2	22	jie	jie	PROPN
ajst-8910	2	23	yuan	yuan	PROPN
ajst-8910	2	24	*	*	PROPN
ajst-8910	2	25	,	,	PUNCT
ajst-8910	2	26	yinchang	yinchang	PROPN
ajst-8910	2	27	du	du	PROPN
ajst-8910	2	28	,	,	PUNCT
ajst-8910	2	29	jiankui	jiankui	PROPN
ajst-8910	2	30	xu	xu	PROPN
ajst-8910	2	31	,	,	PUNCT
ajst-8910	2	32	jianshen	jianshen	PROPN
ajst-8910	2	33	liu	liu	PROPN
ajst-8910	2	34	designing	designing	PROPN
ajst-8910	2	35	institute	institute	PROPN
ajst-8910	2	36	of	of	ADP
ajst-8910	2	37	engineering	engineering	PROPN
ajst-8910	2	38	,	,	PUNCT
ajst-8910	2	39	offshore	offshore	ADJ
ajst-8910	2	40	oil	oil	NOUN
ajst-8910	2	41	engineering	engineering	PROPN
ajst-8910	2	42	co.	co.	PROPN
ajst-8910	2	43	,ltd	,ltd	PROPN
ajst-8910	2	44	,	,	PUNCT
ajst-8910	2	45	tianjin	tianjin	PROPN
ajst-8910	2	46	,	,	PUNCT
ajst-8910	2	47	china	china	PROPN
ajst-8910	2	48	*	*	PUNCT
ajst-8910	2	49	corresponding	correspond	VERB
ajst-8910	2	50	author	author	NOUN
ajst-8910	2	51	:	:	PUNCT
ajst-8910	2	52	yuanjie7@cnooc.com.cn	yuanjie7@cnooc.com.cn	PROPN
ajst-8910	2	53	abstract	abstract	PROPN
ajst-8910	2	54	:	:	PUNCT
ajst-8910	2	55	electric	electric	ADJ
ajst-8910	2	56	submersible	submersible	ADJ
ajst-8910	2	57	pump	pump	NOUN
ajst-8910	2	58	(	(	PUNCT
ajst-8910	2	59	esp	esp	ADJ
ajst-8910	2	60	)	)	PUNCT
ajst-8910	2	61	is	be	AUX
ajst-8910	2	62	the	the	DET
ajst-8910	2	63	key	key	ADJ
ajst-8910	2	64	production	production	NOUN
ajst-8910	2	65	equipment	equipment	NOUN
ajst-8910	2	66	for	for	ADP
ajst-8910	2	67	the	the	DET
ajst-8910	2	68	offshore	offshore	ADJ
ajst-8910	2	69	oil	oil	NOUN
ajst-8910	2	70	industry	industry	NOUN
ajst-8910	2	71	.	.	PUNCT
ajst-8910	3	1	as	as	ADP
ajst-8910	3	2	a	a	DET
ajst-8910	3	3	result	result	NOUN
ajst-8910	3	4	of	of	ADP
ajst-8910	3	5	poor	poor	ADJ
ajst-8910	3	6	working	working	NOUN
ajst-8910	3	7	condition	condition	NOUN
ajst-8910	3	8	,	,	PUNCT
ajst-8910	3	9	fault	fault	NOUN
ajst-8910	3	10	and	and	CCONJ
ajst-8910	3	11	failures	failure	NOUN
ajst-8910	3	12	happen	happen	VERB
ajst-8910	3	13	frequently	frequently	ADV
ajst-8910	3	14	and	and	CCONJ
ajst-8910	3	15	affect	affect	VERB
ajst-8910	3	16	the	the	DET
ajst-8910	3	17	production	production	NOUN
ajst-8910	3	18	effectiveness	effectiveness	NOUN
ajst-8910	3	19	.	.	PUNCT
ajst-8910	4	1	it	it	PRON
ajst-8910	4	2	is	be	AUX
ajst-8910	4	3	significant	significant	ADJ
ajst-8910	4	4	to	to	PART
ajst-8910	4	5	detect	detect	VERB
ajst-8910	4	6	the	the	DET
ajst-8910	4	7	fault	fault	NOUN
ajst-8910	4	8	and	and	CCONJ
ajst-8910	4	9	failure	failure	NOUN
ajst-8910	4	10	in	in	ADP
ajst-8910	4	11	time	time	NOUN
ajst-8910	4	12	.	.	PUNCT
ajst-8910	5	1	the	the	DET
ajst-8910	5	2	fault	fault	NOUN
ajst-8910	5	3	detection	detection	NOUN
ajst-8910	5	4	for	for	ADP
ajst-8910	5	5	esp	esp	ADJ
ajst-8910	5	6	mainly	mainly	ADV
ajst-8910	5	7	depends	depend	VERB
ajst-8910	5	8	on	on	ADP
ajst-8910	5	9	the	the	DET
ajst-8910	5	10	expert	expert	ADJ
ajst-8910	5	11	experience	experience	NOUN
ajst-8910	5	12	for	for	ADP
ajst-8910	5	13	decades	decade	NOUN
ajst-8910	5	14	.	.	PUNCT
ajst-8910	6	1	the	the	DET
ajst-8910	6	2	data	data	NOUN
ajst-8910	6	3	-	-	PUNCT
ajst-8910	6	4	driven	drive	VERB
ajst-8910	6	5	fault	fault	NOUN
ajst-8910	6	6	detection	detection	NOUN
ajst-8910	6	7	methods	method	NOUN
ajst-8910	6	8	are	be	AUX
ajst-8910	6	9	widely	widely	ADV
ajst-8910	6	10	utilized	utilize	VERB
ajst-8910	6	11	in	in	ADP
ajst-8910	6	12	recent	recent	ADJ
ajst-8910	6	13	years	year	NOUN
ajst-8910	6	14	with	with	ADP
ajst-8910	6	15	the	the	DET
ajst-8910	6	16	rapid	rapid	ADJ
ajst-8910	6	17	development	development	NOUN
ajst-8910	6	18	of	of	ADP
ajst-8910	6	19	sensor	sensor	NOUN
ajst-8910	6	20	technology	technology	NOUN
ajst-8910	6	21	,	,	PUNCT
ajst-8910	6	22	where	where	SCONJ
ajst-8910	6	23	the	the	DET
ajst-8910	6	24	pca	pca	NOUN
ajst-8910	6	25	is	be	AUX
ajst-8910	6	26	the	the	DET
ajst-8910	6	27	most	most	ADV
ajst-8910	6	28	widely	widely	ADV
ajst-8910	6	29	used	use	VERB
ajst-8910	6	30	methods	method	NOUN
ajst-8910	6	31	.	.	PUNCT
ajst-8910	7	1	however	however	ADV
ajst-8910	7	2	,	,	PUNCT
ajst-8910	7	3	the	the	DET
ajst-8910	7	4	data	datum	NOUN
ajst-8910	7	5	collected	collect	VERB
ajst-8910	7	6	from	from	ADP
ajst-8910	7	7	the	the	DET
ajst-8910	7	8	front	front	ADJ
ajst-8910	7	9	line	line	NOUN
ajst-8910	7	10	faces	face	VERB
ajst-8910	7	11	the	the	DET
ajst-8910	7	12	imprecision	imprecision	NOUN
ajst-8910	7	13	problem	problem	NOUN
ajst-8910	7	14	,	,	PUNCT
ajst-8910	7	15	which	which	PRON
ajst-8910	7	16	reduces	reduce	VERB
ajst-8910	7	17	the	the	DET
ajst-8910	7	18	accuracy	accuracy	NOUN
ajst-8910	7	19	of	of	ADP
ajst-8910	7	20	data	data	NOUN
ajst-8910	7	21	-	-	PUNCT
ajst-8910	7	22	driven	drive	VERB
ajst-8910	7	23	fault	fault	NOUN
ajst-8910	7	24	detection	detection	NOUN
ajst-8910	7	25	methods	method	NOUN
ajst-8910	7	26	.	.	PUNCT
ajst-8910	8	1	the	the	DET
ajst-8910	8	2	interval	interval	NOUN
ajst-8910	8	3	arithmetic	arithmetic	NOUN
ajst-8910	8	4	is	be	AUX
ajst-8910	8	5	an	an	DET
ajst-8910	8	6	effective	effective	ADJ
ajst-8910	8	7	way	way	NOUN
ajst-8910	8	8	to	to	PART
ajst-8910	8	9	handle	handle	VERB
ajst-8910	8	10	imprecision	imprecision	NOUN
ajst-8910	8	11	data	datum	NOUN
ajst-8910	8	12	.	.	PUNCT
ajst-8910	9	1	however	however	ADV
ajst-8910	9	2	,	,	PUNCT
ajst-8910	9	3	traditional	traditional	ADJ
ajst-8910	9	4	pca	pca	NOUN
ajst-8910	9	5	and	and	CCONJ
ajst-8910	9	6	interval	interval	NOUN
ajst-8910	9	7	pca	pca	NOUN
ajst-8910	9	8	algorithms	algorithm	NOUN
ajst-8910	9	9	can	can	AUX
ajst-8910	9	10	not	not	PART
ajst-8910	9	11	handle	handle	VERB
ajst-8910	9	12	nonlinear	nonlinear	ADJ
ajst-8910	9	13	problem	problem	NOUN
ajst-8910	9	14	.	.	PUNCT
ajst-8910	10	1	aiming	aim	VERB
ajst-8910	10	2	at	at	ADP
ajst-8910	10	3	this	this	DET
ajst-8910	10	4	problem	problem	NOUN
ajst-8910	10	5	,	,	PUNCT
ajst-8910	10	6	the	the	DET
ajst-8910	10	7	complete	complete	ADJ
ajst-8910	10	8	information	information	NOUN
ajst-8910	10	9	principal	principal	ADJ
ajst-8910	10	10	component	component	NOUN
ajst-8910	10	11	analysis	analysis	NOUN
ajst-8910	10	12	methods	method	NOUN
ajst-8910	10	13	are	be	AUX
ajst-8910	10	14	adopted	adopt	VERB
ajst-8910	10	15	for	for	ADP
ajst-8910	10	16	the	the	DET
ajst-8910	10	17	fault	fault	NOUN
ajst-8910	10	18	detection	detection	NOUN
ajst-8910	10	19	of	of	ADP
ajst-8910	10	20	electric	electric	ADJ
ajst-8910	10	21	submersible	submersible	ADJ
ajst-8910	10	22	pump	pump	NOUN
ajst-8910	10	23	in	in	ADP
ajst-8910	10	24	this	this	DET
ajst-8910	10	25	paper	paper	NOUN
ajst-8910	10	26	.	.	PUNCT
ajst-8910	11	1	compared	compare	VERB
ajst-8910	11	2	with	with	ADP
ajst-8910	11	3	pca	pca	NOUN
ajst-8910	11	4	and	and	CCONJ
ajst-8910	11	5	cpca	cpca	NOUN
ajst-8910	11	6	methods	method	NOUN
ajst-8910	11	7	,	,	PUNCT
ajst-8910	11	8	the	the	DET
ajst-8910	11	9	cipca	cipca	NOUN
ajst-8910	11	10	method	method	NOUN
ajst-8910	11	11	has	have	VERB
ajst-8910	11	12	better	well	ADJ
ajst-8910	11	13	detection	detection	NOUN
ajst-8910	11	14	robustness	robustness	NOUN
ajst-8910	11	15	when	when	SCONJ
ajst-8910	11	16	more	more	ADV
ajst-8910	11	17	inaccurate	inaccurate	ADJ
ajst-8910	11	18	point	point	NOUN
ajst-8910	11	19	value	value	NOUN
ajst-8910	11	20	data	datum	NOUN
ajst-8910	11	21	.	.	PUNCT
ajst-8910	12	1	keywords	keyword	NOUN
ajst-8910	12	2	:	:	PUNCT
ajst-8910	12	3	interval	interval	NOUN
ajst-8910	12	4	algorithm	algorithm	NOUN
ajst-8910	12	5	,	,	PUNCT
ajst-8910	12	6	principal	principal	ADJ
ajst-8910	12	7	component	component	NOUN
ajst-8910	12	8	analysis	analysis	NOUN
ajst-8910	12	9	,	,	PUNCT
ajst-8910	12	10	electric	electric	ADJ
ajst-8910	12	11	submersible	submersible	ADJ
ajst-8910	12	12	pump	pump	NOUN
ajst-8910	12	13	,	,	PUNCT
ajst-8910	12	14	fault	fault	NOUN
ajst-8910	12	15	detection	detection	NOUN
ajst-8910	12	16	.	.	PUNCT
ajst-8910	13	1	1	1	X
ajst-8910	13	2	.	.	X
ajst-8910	13	3	introduction	introduction	NOUN
ajst-8910	13	4	as	as	ADP
ajst-8910	13	5	the	the	DET
ajst-8910	13	6	key	key	ADJ
ajst-8910	13	7	equipment	equipment	NOUN
ajst-8910	13	8	of	of	ADP
ajst-8910	13	9	offshore	offshore	ADJ
ajst-8910	13	10	oil	oil	NOUN
ajst-8910	13	11	industry	industry	NOUN
ajst-8910	13	12	,	,	PUNCT
ajst-8910	13	13	electric	electric	ADJ
ajst-8910	13	14	submersible	submersible	ADJ
ajst-8910	13	15	pump	pump	NOUN
ajst-8910	13	16	(	(	PUNCT
ajst-8910	13	17	esp	esp	ADJ
ajst-8910	13	18	)	)	PUNCT
ajst-8910	13	19	transport	transport	NOUN
ajst-8910	13	20	quantities	quantity	NOUN
ajst-8910	13	21	of	of	ADP
ajst-8910	13	22	oil	oil	NOUN
ajst-8910	13	23	from	from	ADP
ajst-8910	13	24	underground	underground	ADV
ajst-8910	13	25	to	to	ADP
ajst-8910	13	26	the	the	DET
ajst-8910	13	27	surface	surface	NOUN
ajst-8910	13	28	.	.	PUNCT
ajst-8910	14	1	however	however	ADV
ajst-8910	14	2	,	,	PUNCT
ajst-8910	14	3	esp	esp	ADJ
ajst-8910	14	4	works	work	VERB
ajst-8910	14	5	under	under	ADP
ajst-8910	14	6	high	high	ADJ
ajst-8910	14	7	temperature	temperature	NOUN
ajst-8910	14	8	and	and	CCONJ
ajst-8910	14	9	high	high	ADJ
ajst-8910	14	10	pressure	pressure	NOUN
ajst-8910	14	11	conditions	condition	NOUN
ajst-8910	14	12	which	which	PRON
ajst-8910	14	13	leading	lead	VERB
ajst-8910	14	14	to	to	ADP
ajst-8910	14	15	failures	failure	NOUN
ajst-8910	14	16	frequently	frequently	ADV
ajst-8910	14	17	.	.	PUNCT
ajst-8910	15	1	severe	severe	ADJ
ajst-8910	15	2	economic	economic	ADJ
ajst-8910	15	3	losses	loss	NOUN
ajst-8910	15	4	will	will	AUX
ajst-8910	15	5	happen	happen	VERB
ajst-8910	15	6	once	once	ADV
ajst-8910	15	7	the	the	DET
ajst-8910	15	8	electric	electric	ADJ
ajst-8910	15	9	submersible	submersible	ADJ
ajst-8910	15	10	pump	pump	NOUN
ajst-8910	15	11	failure	failure	NOUN
ajst-8910	15	12	occurs	occur	VERB
ajst-8910	15	13	.	.	PUNCT
ajst-8910	16	1	efficient	efficient	ADJ
ajst-8910	16	2	fault	fault	NOUN
ajst-8910	16	3	detection	detection	NOUN
ajst-8910	16	4	of	of	ADP
ajst-8910	16	5	electric	electric	ADJ
ajst-8910	16	6	submersible	submersible	ADJ
ajst-8910	16	7	pump	pump	NOUN
ajst-8910	16	8	can	can	AUX
ajst-8910	16	9	help	help	VERB
ajst-8910	16	10	production	production	NOUN
ajst-8910	16	11	workers	worker	NOUN
ajst-8910	16	12	to	to	PART
ajst-8910	16	13	judge	judge	VERB
ajst-8910	16	14	faults	fault	NOUN
ajst-8910	16	15	quickly	quickly	ADV
ajst-8910	16	16	and	and	CCONJ
ajst-8910	16	17	accurately	accurately	ADV
ajst-8910	16	18	,	,	PUNCT
ajst-8910	16	19	reduce	reduce	VERB
ajst-8910	16	20	the	the	DET
ajst-8910	16	21	equipment	equipment	NOUN
ajst-8910	16	22	maintenance	maintenance	NOUN
ajst-8910	16	23	time	time	NOUN
ajst-8910	16	24	,	,	PUNCT
ajst-8910	16	25	and	and	CCONJ
ajst-8910	16	26	help	help	VERB
ajst-8910	16	27	producers	producer	NOUN
ajst-8910	16	28	to	to	PART
ajst-8910	16	29	find	find	VERB
ajst-8910	16	30	early	early	ADJ
ajst-8910	16	31	failures	failure	NOUN
ajst-8910	16	32	of	of	ADP
ajst-8910	16	33	electric	electric	ADJ
ajst-8910	16	34	submersible	submersible	ADJ
ajst-8910	16	35	pump	pump	NOUN
ajst-8910	16	36	in	in	ADP
ajst-8910	16	37	time	time	NOUN
ajst-8910	16	38	.	.	PUNCT
ajst-8910	17	1	therefore	therefore	ADV
ajst-8910	17	2	,	,	PUNCT
ajst-8910	17	3	it	it	PRON
ajst-8910	17	4	is	be	AUX
ajst-8910	17	5	of	of	ADP
ajst-8910	17	6	great	great	ADJ
ajst-8910	17	7	significance	significance	NOUN
ajst-8910	17	8	to	to	PART
ajst-8910	17	9	study	study	VERB
ajst-8910	17	10	the	the	DET
ajst-8910	17	11	fault	fault	NOUN
ajst-8910	17	12	detection	detection	NOUN
ajst-8910	17	13	of	of	ADP
ajst-8910	17	14	electric	electric	ADJ
ajst-8910	17	15	submersible	submersible	ADJ
ajst-8910	17	16	pump(1	pump(1	NOUN
ajst-8910	17	17	)	)	PUNCT
ajst-8910	17	18	.	.	PUNCT
ajst-8910	18	1	traditional	traditional	ADJ
ajst-8910	18	2	fault	fault	NOUN
ajst-8910	18	3	detection	detection	NOUN
ajst-8910	18	4	of	of	ADP
ajst-8910	18	5	electric	electric	ADJ
ajst-8910	18	6	submersible	submersible	ADJ
ajst-8910	18	7	pumps	pump	NOUN
ajst-8910	18	8	in	in	ADP
ajst-8910	18	9	offshore	offshore	ADJ
ajst-8910	18	10	oil	oil	NOUN
ajst-8910	18	11	and	and	CCONJ
ajst-8910	18	12	gas	gas	NOUN
ajst-8910	18	13	wells	well	NOUN
ajst-8910	18	14	mainly	mainly	ADV
ajst-8910	18	15	relies	rely	VERB
ajst-8910	18	16	on	on	ADP
ajst-8910	18	17	manual	manual	ADJ
ajst-8910	18	18	calculation	calculation	NOUN
ajst-8910	18	19	and	and	CCONJ
ajst-8910	18	20	expert	expert	NOUN
ajst-8910	18	21	experience(2	experience(2	ADJ
ajst-8910	18	22	)	)	PUNCT
ajst-8910	18	23	.	.	PUNCT
ajst-8910	19	1	with	with	ADP
ajst-8910	19	2	the	the	DET
ajst-8910	19	3	rapid	rapid	ADJ
ajst-8910	19	4	development	development	NOUN
ajst-8910	19	5	of	of	ADP
ajst-8910	19	6	computing	computing	NOUN
ajst-8910	19	7	technologies	technology	NOUN
ajst-8910	19	8	and	and	CCONJ
ajst-8910	19	9	sensors	sensor	NOUN
ajst-8910	19	10	,	,	PUNCT
ajst-8910	19	11	data	data	NOUN
ajst-8910	19	12	-	-	PUNCT
ajst-8910	19	13	driven	drive	VERB
ajst-8910	19	14	methods	method	NOUN
ajst-8910	19	15	have	have	AUX
ajst-8910	19	16	become	become	VERB
ajst-8910	19	17	effective	effective	ADJ
ajst-8910	19	18	approaches	approach	NOUN
ajst-8910	19	19	for	for	ADP
ajst-8910	19	20	addressing	address	VERB
ajst-8910	19	21	the	the	DET
ajst-8910	19	22	fault	fault	NOUN
ajst-8910	19	23	detection	detection	NOUN
ajst-8910	19	24	problem	problem	NOUN
ajst-8910	19	25	and	and	CCONJ
ajst-8910	19	26	have	have	AUX
ajst-8910	19	27	become	become	VERB
ajst-8910	19	28	increasingly	increasingly	ADV
ajst-8910	19	29	popular	popular	ADJ
ajst-8910	19	30	in	in	ADP
ajst-8910	19	31	recent	recent	ADJ
ajst-8910	19	32	years	year	NOUN
ajst-8910	19	33	.	.	PUNCT
ajst-8910	20	1	zhao	zhao	PROPN
ajst-8910	20	2	et	et	NOUN
ajst-8910	20	3	al(3	al(3	PROPN
ajst-8910	20	4	)	)	PUNCT
ajst-8910	21	1	.	.	PUNCT
ajst-8910	22	1	proposed	propose	VERB
ajst-8910	22	2	a	a	DET
ajst-8910	22	3	full	full	ADJ
ajst-8910	22	4	-	-	PUNCT
ajst-8910	22	5	condition	condition	NOUN
ajst-8910	22	6	monitoring	monitoring	NOUN
ajst-8910	22	7	method	method	NOUN
ajst-8910	22	8	with	with	ADP
ajst-8910	22	9	cointegration	cointegration	NOUN
ajst-8910	22	10	and	and	CCONJ
ajst-8910	22	11	slow	slow	ADJ
ajst-8910	22	12	feature	feature	NOUN
ajst-8910	22	13	analysis	analysis	NOUN
ajst-8910	22	14	for	for	ADP
ajst-8910	22	15	nonstationary	nonstationary	ADJ
ajst-8910	22	16	dynamic	dynamic	ADJ
ajst-8910	22	17	chemical	chemical	NOUN
ajst-8910	22	18	processes	process	NOUN
ajst-8910	22	19	.	.	PUNCT
ajst-8910	23	1	it	it	PRON
ajst-8910	23	2	is	be	AUX
ajst-8910	23	3	not	not	PART
ajst-8910	23	4	necessary	necessary	ADJ
ajst-8910	23	5	to	to	PART
ajst-8910	23	6	extract	extract	VERB
ajst-8910	23	7	the	the	DET
ajst-8910	23	8	process	process	NOUN
ajst-8910	23	9	knowledge	knowledge	NOUN
ajst-8910	23	10	for	for	ADP
ajst-8910	23	11	these	these	DET
ajst-8910	23	12	methods	method	NOUN
ajst-8910	23	13	because	because	SCONJ
ajst-8910	23	14	all	all	DET
ajst-8910	23	15	the	the	DET
ajst-8910	23	16	information	information	NOUN
ajst-8910	23	17	is	be	AUX
ajst-8910	23	18	stored	store	VERB
ajst-8910	23	19	in	in	ADP
ajst-8910	23	20	the	the	DET
ajst-8910	23	21	process	process	NOUN
ajst-8910	23	22	data	datum	NOUN
ajst-8910	23	23	.	.	PUNCT
ajst-8910	24	1	the	the	DET
ajst-8910	24	2	reliability	reliability	NOUN
ajst-8910	24	3	of	of	ADP
ajst-8910	24	4	the	the	DET
ajst-8910	24	5	fault	fault	NOUN
ajst-8910	24	6	detection	detection	NOUN
ajst-8910	24	7	model	model	NOUN
ajst-8910	24	8	is	be	AUX
ajst-8910	24	9	strongly	strongly	ADV
ajst-8910	24	10	dependent	dependent	ADJ
ajst-8910	24	11	upon	upon	SCONJ
ajst-8910	24	12	the	the	DET
ajst-8910	24	13	quality	quality	NOUN
ajst-8910	24	14	of	of	ADP
ajst-8910	24	15	the	the	DET
ajst-8910	24	16	available	available	ADJ
ajst-8910	24	17	data	datum	NOUN
ajst-8910	24	18	.	.	PUNCT
ajst-8910	25	1	fault	fault	VERB
ajst-8910	25	2	detection	detection	NOUN
ajst-8910	25	3	methods	method	NOUN
ajst-8910	25	4	such	such	ADJ
ajst-8910	25	5	as	as	ADP
ajst-8910	25	6	principal	principal	ADJ
ajst-8910	25	7	component	component	NOUN
ajst-8910	25	8	analysis	analysis	NOUN
ajst-8910	25	9	(	(	PUNCT
ajst-8910	25	10	pca	pca	NOUN
ajst-8910	25	11	)	)	PUNCT
ajst-8910	25	12	(	(	PUNCT
ajst-8910	25	13	4)and	4)and	NUM
ajst-8910	25	14	kernel	kernel	PROPN
ajst-8910	25	15	pca	pca	PROPN
ajst-8910	25	16	(	(	PUNCT
ajst-8910	25	17	kpca)(5	kpca)(5	PROPN
ajst-8910	25	18	)	)	PUNCT
ajst-8910	25	19	assume	assume	VERB
ajst-8910	25	20	that	that	SCONJ
ajst-8910	25	21	the	the	DET
ajst-8910	25	22	process	process	NOUN
ajst-8910	25	23	data	datum	NOUN
ajst-8910	25	24	are	be	AUX
ajst-8910	25	25	precisely	precisely	ADV
ajst-8910	25	26	known	known	ADJ
ajst-8910	25	27	and	and	CCONJ
ajst-8910	25	28	point	point	NOUN
ajst-8910	25	29	-	-	PUNCT
ajst-8910	25	30	valued	value	VERB
ajst-8910	25	31	.	.	PUNCT
ajst-8910	26	1	however	however	ADV
ajst-8910	26	2	,	,	PUNCT
ajst-8910	26	3	in	in	ADP
ajst-8910	26	4	practice	practice	NOUN
ajst-8910	26	5	,	,	PUNCT
ajst-8910	26	6	the	the	DET
ajst-8910	26	7	data	datum	NOUN
ajst-8910	26	8	are	be	AUX
ajst-8910	26	9	typically	typically	ADV
ajst-8910	26	10	contaminated	contaminate	VERB
ajst-8910	26	11	with	with	ADP
ajst-8910	26	12	uncertainties	uncertainty	NOUN
ajst-8910	26	13	due	due	ADJ
ajst-8910	26	14	to	to	ADP
ajst-8910	26	15	various	various	ADJ
ajst-8910	26	16	factors	factor	NOUN
ajst-8910	26	17	,	,	PUNCT
ajst-8910	26	18	which	which	PRON
ajst-8910	26	19	include	include	VERB
ajst-8910	26	20	measurement	measurement	NOUN
ajst-8910	26	21	noise	noise	NOUN
ajst-8910	26	22	,	,	PUNCT
ajst-8910	26	23	sensor	sensor	NOUN
ajst-8910	26	24	degradation	degradation	NOUN
ajst-8910	26	25	from	from	ADP
ajst-8910	26	26	age	age	NOUN
ajst-8910	26	27	,	,	PUNCT
ajst-8910	26	28	and	and	CCONJ
ajst-8910	26	29	severe	severe	ADJ
ajst-8910	26	30	working	working	NOUN
ajst-8910	26	31	environments	environment	NOUN
ajst-8910	26	32	(	(	PUNCT
ajst-8910	26	33	6	6	NUM
ajst-8910	26	34	)	)	PUNCT
ajst-8910	26	35	.	.	PUNCT
ajst-8910	27	1	imprecise	imprecise	ADJ
ajst-8910	27	2	measurements	measurement	NOUN
ajst-8910	27	3	with	with	ADP
ajst-8910	27	4	low	low	ADJ
ajst-8910	27	5	reliability	reliability	NOUN
ajst-8910	27	6	are	be	AUX
ajst-8910	27	7	prominent	prominent	ADJ
ajst-8910	27	8	and	and	CCONJ
ajst-8910	27	9	may	may	AUX
ajst-8910	27	10	deteriorate	deteriorate	VERB
ajst-8910	27	11	the	the	DET
ajst-8910	27	12	identification	identification	NOUN
ajst-8910	27	13	performance	performance	NOUN
ajst-8910	27	14	of	of	ADP
ajst-8910	27	15	the	the	DET
ajst-8910	27	16	data	data	NOUN
ajst-8910	27	17	-	-	PUNCT
ajst-8910	27	18	driven	drive	VERB
ajst-8910	27	19	methods	method	NOUN
ajst-8910	27	20	that	that	PRON
ajst-8910	27	21	are	be	AUX
ajst-8910	27	22	discussed	discuss	VERB
ajst-8910	27	23	above	above	ADV
ajst-8910	27	24	.	.	PUNCT
ajst-8910	28	1	the	the	DET
ajst-8910	28	2	development	development	NOUN
ajst-8910	28	3	of	of	ADP
ajst-8910	28	4	fault	fault	NOUN
ajst-8910	28	5	detection	detection	NOUN
ajst-8910	28	6	methods	method	NOUN
ajst-8910	28	7	for	for	ADP
ajst-8910	28	8	the	the	DET
ajst-8910	28	9	process	process	NOUN
ajst-8910	28	10	industry	industry	NOUN
ajst-8910	28	11	with	with	ADP
ajst-8910	28	12	imprecise	imprecise	ADJ
ajst-8910	28	13	data	datum	NOUN
ajst-8910	28	14	is	be	AUX
ajst-8910	28	15	an	an	DET
ajst-8910	28	16	urgent	urgent	ADJ
ajst-8910	28	17	problem	problem	NOUN
ajst-8910	28	18	.	.	PUNCT
ajst-8910	29	1	a	a	DET
ajst-8910	29	2	substantial	substantial	ADJ
ajst-8910	29	3	amount	amount	NOUN
ajst-8910	29	4	of	of	ADP
ajst-8910	29	5	work	work	NOUN
ajst-8910	29	6	has	have	AUX
ajst-8910	29	7	been	be	AUX
ajst-8910	29	8	done	do	VERB
ajst-8910	29	9	by	by	ADP
ajst-8910	29	10	researchers	researcher	NOUN
ajst-8910	29	11	on	on	ADP
ajst-8910	29	12	the	the	DET
ajst-8910	29	13	processing	processing	NOUN
ajst-8910	29	14	of	of	ADP
ajst-8910	29	15	imprecise	imprecise	ADJ
ajst-8910	29	16	data	datum	NOUN
ajst-8910	29	17	.	.	PUNCT
ajst-8910	30	1	however	however	ADV
ajst-8910	30	2	,	,	PUNCT
ajst-8910	30	3	classic	classic	ADJ
ajst-8910	30	4	data	datum	NOUN
ajst-8910	30	5	analysis	analysis	NOUN
ajst-8910	30	6	can	can	AUX
ajst-8910	30	7	not	not	PART
ajst-8910	30	8	satisfactorily	satisfactorily	ADV
ajst-8910	30	9	deal	deal	VERB
ajst-8910	30	10	with	with	ADP
ajst-8910	30	11	data	datum	NOUN
ajst-8910	30	12	with	with	ADP
ajst-8910	30	13	variability	variability	NOUN
ajst-8910	30	14	and	and	CCONJ
ajst-8910	30	15	uncertainty	uncertainty	NOUN
ajst-8910	30	16	.	.	PUNCT
ajst-8910	31	1	symbolic	symbolic	ADJ
ajst-8910	31	2	data	datum	NOUN
ajst-8910	31	3	analysis	analysis	NOUN
ajst-8910	31	4	(	(	PUNCT
ajst-8910	31	5	sda	sda	NOUN
ajst-8910	31	6	)	)	PUNCT
ajst-8910	31	7	introduced	introduce	VERB
ajst-8910	31	8	several	several	ADJ
ajst-8910	31	9	representations	representation	NOUN
ajst-8910	31	10	for	for	ADP
ajst-8910	31	11	data	datum	NOUN
ajst-8910	31	12	types	type	NOUN
ajst-8910	31	13	with	with	ADP
ajst-8910	31	14	data	datum	NOUN
ajst-8910	31	15	variability	variability	NOUN
ajst-8910	31	16	,	,	PUNCT
ajst-8910	31	17	among	among	ADP
ajst-8910	31	18	which	which	PRON
ajst-8910	31	19	the	the	DET
ajst-8910	31	20	interval	interval	NOUN
ajst-8910	31	21	representation	representation	NOUN
ajst-8910	31	22	is	be	AUX
ajst-8910	31	23	typical	typical	ADJ
ajst-8910	31	24	.	.	PUNCT
ajst-8910	32	1	intervals	interval	NOUN
ajst-8910	32	2	naturally	naturally	ADV
ajst-8910	32	3	arise	arise	VERB
ajst-8910	32	4	from	from	ADP
ajst-8910	32	5	the	the	DET
ajst-8910	32	6	description	description	NOUN
ajst-8910	32	7	of	of	ADP
ajst-8910	32	8	ranges	range	NOUN
ajst-8910	32	9	of	of	ADP
ajst-8910	32	10	values	value	NOUN
ajst-8910	32	11	,	,	PUNCT
ajst-8910	32	12	such	such	ADJ
ajst-8910	32	13	as	as	ADP
ajst-8910	32	14	daily	daily	ADJ
ajst-8910	32	15	temperature	temperature	NOUN
ajst-8910	32	16	and	and	CCONJ
ajst-8910	32	17	daily	daily	ADJ
ajst-8910	32	18	stock	stock	NOUN
ajst-8910	32	19	price	price	NOUN
ajst-8910	32	20	variations	variation	NOUN
ajst-8910	32	21	.	.	PUNCT
ajst-8910	33	1	numerical	numerical	ADJ
ajst-8910	33	2	examples	example	NOUN
ajst-8910	33	3	were	be	AUX
ajst-8910	33	4	provided	provide	VERB
ajst-8910	33	5	by	by	ADP
ajst-8910	33	6	lev	lev	NOUN
ajst-8910	33	7	v.	v.	PROPN
ajst-8910	33	8	to	to	PART
ajst-8910	33	9	demonstrate	demonstrate	VERB
ajst-8910	33	10	that	that	PRON
ajst-8910	33	11	imprecise	imprecise	ADJ
ajst-8910	33	12	interval	interval	NOUN
ajst-8910	33	13	information	information	NOUN
ajst-8910	33	14	may	may	AUX
ajst-8910	33	15	improve	improve	VERB
ajst-8910	33	16	the	the	DET
ajst-8910	33	17	robustness	robustness	NOUN
ajst-8910	33	18	performance	performance	NOUN
ajst-8910	33	19	of	of	ADP
ajst-8910	33	20	the	the	DET
ajst-8910	33	21	svm	svm	NOUN
ajst-8910	33	22	algorithm(7	algorithm(7	PROPN
ajst-8910	33	23	)	)	PUNCT
ajst-8910	33	24	.	.	PUNCT
ajst-8910	34	1	a	a	DET
ajst-8910	34	2	new	new	ADJ
ajst-8910	34	3	clustering	clustering	ADJ
ajst-8910	34	4	algorithm	algorithm	NOUN
ajst-8910	34	5	that	that	PRON
ajst-8910	34	6	is	be	AUX
ajst-8910	34	7	based	base	VERB
ajst-8910	34	8	on	on	ADP
ajst-8910	34	9	the	the	DET
ajst-8910	34	10	learning	learning	NOUN
ajst-8910	34	11	of	of	ADP
ajst-8910	34	12	a	a	DET
ajst-8910	34	13	selforganizing	selforganize	VERB
ajst-8910	34	14	map	map	NOUN
ajst-8910	34	15	for	for	ADP
ajst-8910	34	16	interval	interval	NOUN
ajst-8910	34	17	data	datum	NOUN
ajst-8910	34	18	is	be	AUX
ajst-8910	34	19	proposed	propose	VERB
ajst-8910	34	20	in	in	ADP
ajst-8910	34	21	the	the	DET
ajst-8910	34	22	literature	literature	NOUN
ajst-8910	34	23	,	,	PUNCT
ajst-8910	34	24	in	in	ADP
ajst-8910	34	25	which	which	PRON
ajst-8910	34	26	the	the	DET
ajst-8910	34	27	number	number	NOUN
ajst-8910	34	28	of	of	ADP
ajst-8910	34	29	clusters	cluster	NOUN
ajst-8910	34	30	is	be	AUX
ajst-8910	34	31	determined	determine	VERB
ajst-8910	34	32	automatically	automatically	ADV
ajst-8910	34	33	and	and	CCONJ
ajst-8910	34	34	no	no	DET
ajst-8910	34	35	a	a	DET
ajst-8910	34	36	priori	priori	ADJ
ajst-8910	34	37	hypothesis	hypothesis	NOUN
ajst-8910	34	38	is	be	AUX
ajst-8910	34	39	required	require	VERB
ajst-8910	34	40	.	.	PUNCT
ajst-8910	35	1	petridis	petridis	VERB
ajst-8910	35	2	et	et	PROPN
ajst-8910	35	3	al	al	PROPN
ajst-8910	35	4	.	.	PROPN
ajst-8910	36	1	used	use	VERB
ajst-8910	36	2	interval	interval	NOUN
ajst-8910	36	3	numbers	number	NOUN
ajst-8910	36	4	to	to	PART
ajst-8910	36	5	predict	predict	VERB
ajst-8910	36	6	annual	annual	ADJ
ajst-8910	36	7	sugar	sugar	NOUN
ajst-8910	36	8	production	production	NOUN
ajst-8910	36	9	based	base	VERB
ajst-8910	36	10	on	on	ADP
ajst-8910	36	11	populations	population	NOUN
ajst-8910	36	12	of	of	ADP
ajst-8910	36	13	measurements	measurement	NOUN
ajst-8910	36	14	and	and	CCONJ
ajst-8910	36	15	to	to	PART
ajst-8910	36	16	improve	improve	VERB
ajst-8910	36	17	the	the	DET
ajst-8910	36	18	prediction	prediction	NOUN
ajst-8910	36	19	accuracy(8	accuracy(8	PROPN
ajst-8910	36	20	)	)	PUNCT
ajst-8910	36	21	.	.	PUNCT
ajst-8910	37	1	several	several	ADJ
ajst-8910	37	2	artificial	artificial	ADJ
ajst-8910	37	3	neural	neural	ADJ
ajst-8910	37	4	networks	network	NOUN
ajst-8910	37	5	were	be	AUX
ajst-8910	37	6	extended	extend	VERB
ajst-8910	37	7	to	to	ADP
ajst-8910	37	8	interval	interval	NOUN
ajst-8910	37	9	fields	field	NOUN
ajst-8910	37	10	and	and	CCONJ
ajst-8910	37	11	have	have	AUX
ajst-8910	37	12	exhibited	exhibit	VERB
ajst-8910	37	13	satisfactory	satisfactory	ADJ
ajst-8910	37	14	performance	performance	NOUN
ajst-8910	37	15	in	in	ADP
ajst-8910	37	16	industry	industry	NOUN
ajst-8910	37	17	applications	application	NOUN
ajst-8910	37	18	with	with	ADP
ajst-8910	37	19	imprecise	imprecise	ADJ
ajst-8910	37	20	measurement	measurement	NOUN
ajst-8910	37	21	data	datum	NOUN
ajst-8910	37	22	.	.	PUNCT
ajst-8910	38	1	in	in	ADP
ajst-8910	38	2	addition	addition	NOUN
ajst-8910	38	3	,	,	PUNCT
ajst-8910	38	4	the	the	DET
ajst-8910	38	5	interval	interval	NOUN
ajst-8910	38	6	pca	pca	NOUN
ajst-8910	38	7	approaches	approach	NOUN
ajst-8910	38	8	were	be	AUX
ajst-8910	38	9	introduced	introduce	VERB
ajst-8910	38	10	by	by	ADP
ajst-8910	38	11	cazes	caze	NOUN
ajst-8910	38	12	et	et	PROPN
ajst-8910	38	13	al	al	PROPN
ajst-8910	38	14	.	.	PROPN
ajst-8910	38	15	and	and	CCONJ
ajst-8910	39	1	chouakria	chouakria	PROPN
ajst-8910	39	2	et	et	PROPN
ajst-8910	39	3	al	al	PROPN
ajst-8910	39	4	.	.	PROPN
ajst-8910	39	5	known	know	VERB
ajst-8910	39	6	as	as	ADP
ajst-8910	39	7	the	the	DET
ajst-8910	39	8	vertices	vertex	NOUN
ajst-8910	39	9	pca	pca	PROPN
ajst-8910	39	10	(	(	PUNCT
ajst-8910	39	11	vpca	vpca	PROPN
ajst-8910	39	12	)	)	PUNCT
ajst-8910	39	13	and	and	CCONJ
ajst-8910	39	14	the	the	DET
ajst-8910	39	15	centers	center	NOUN
ajst-8910	39	16	pca	pca	PROPN
ajst-8910	39	17	(	(	PUNCT
ajst-8910	39	18	cpca	cpca	NOUN
ajst-8910	39	19	)	)	PUNCT
ajst-8910	39	20	,	,	PUNCT
ajst-8910	39	21	respectively	respectively	ADV
ajst-8910	39	22	.	.	PUNCT
ajst-8910	40	1	the	the	DET
ajst-8910	40	2	interval	interval	NOUN
ajst-8910	40	3	pca	pca	PROPN
ajst-8910	40	4	methods	method	NOUN
ajst-8910	40	5	are	be	AUX
ajst-8910	40	6	employed	employ	VERB
ajst-8910	40	7	for	for	ADP
ajst-8910	40	8	process	process	NOUN
ajst-8910	40	9	monitoring	monitoring	NOUN
ajst-8910	40	10	and	and	CCONJ
ajst-8910	40	11	yielded	yield	VERB
ajst-8910	40	12	more	more	ADV
ajst-8910	40	13	robust	robust	ADJ
ajst-8910	40	14	results(9	results(9	NOUN
ajst-8910	40	15	)	)	PUNCT
ajst-8910	40	16	.	.	PUNCT
ajst-8910	41	1	in	in	ADP
ajst-8910	41	2	this	this	DET
ajst-8910	41	3	paper	paper	NOUN
ajst-8910	41	4	,	,	PUNCT
ajst-8910	41	5	aiming	aim	VERB
ajst-8910	41	6	at	at	ADP
ajst-8910	41	7	improving	improve	VERB
ajst-8910	41	8	effectiveness	effectiveness	NOUN
ajst-8910	41	9	of	of	ADP
ajst-8910	41	10	pca	pca	PROPN
ajst-8910	41	11	method	method	NOUN
ajst-8910	41	12	when	when	SCONJ
ajst-8910	41	13	facing	face	VERB
ajst-8910	41	14	the	the	DET
ajst-8910	41	15	imprecision	imprecision	NOUN
ajst-8910	41	16	measurement	measurement	NOUN
ajst-8910	41	17	problem	problem	NOUN
ajst-8910	41	18	,	,	PUNCT
ajst-8910	41	19	several	several	ADJ
ajst-8910	41	20	interval	interval	NOUN
ajst-8910	41	21	pca	pca	NOUN
ajst-8910	41	22	methods	method	NOUN
ajst-8910	41	23	are	be	AUX
ajst-8910	41	24	applied	apply	VERB
ajst-8910	41	25	for	for	ADP
ajst-8910	41	26	the	the	DET
ajst-8910	41	27	fault	fault	NOUN
ajst-8910	41	28	detection	detection	NOUN
ajst-8910	41	29	of	of	ADP
ajst-8910	41	30	electric	electric	ADJ
ajst-8910	41	31	submersible	submersible	ADJ
ajst-8910	41	32	pump	pump	NOUN
ajst-8910	41	33	.	.	PUNCT
ajst-8910	42	1	sections	section	NOUN
ajst-8910	42	2	2	2	NUM
ajst-8910	42	3	is	be	AUX
ajst-8910	42	4	a	a	DET
ajst-8910	42	5	brief	brief	ADJ
ajst-8910	42	6	introduction	introduction	NOUN
ajst-8910	42	7	of	of	ADP
ajst-8910	42	8	interval	interval	NOUN
ajst-8910	42	9	pca	pca	PROPN
ajst-8910	42	10	.	.	PUNCT
ajst-8910	43	1	section	section	NOUN
ajst-8910	43	2	3	3	NUM
ajst-8910	43	3	discusses	discuss	VERB
ajst-8910	43	4	the	the	DET
ajst-8910	43	5	simulation	simulation	NOUN
ajst-8910	43	6	of	of	ADP
ajst-8910	43	7	interval	interval	NOUN
ajst-8910	43	8	pca	pca	PROPN
ajst-8910	43	9	to	to	PART
ajst-8910	43	10	electric	electric	VERB
ajst-8910	43	11	submersible	submersible	ADJ
ajst-8910	43	12	pump	pump	PROPN
ajst-8910	43	13	fdi	fdi	PROPN
ajst-8910	43	14	.	.	PUNCT
ajst-8910	44	1	section	section	NOUN
ajst-8910	44	2	4	4	NUM
ajst-8910	44	3	is	be	AUX
ajst-8910	44	4	the	the	DET
ajst-8910	44	5	conclusion	conclusion	NOUN
ajst-8910	44	6	that	that	SCONJ
ajst-8910	44	7	the	the	DET
ajst-8910	44	8	ipca	ipca	NOUN
ajst-8910	44	9	performs	perform	VERB
ajst-8910	44	10	better	well	ADV
ajst-8910	44	11	than	than	ADP
ajst-8910	44	12	the	the	DET
ajst-8910	44	13	point	point	NOUN
ajst-8910	44	14	valued	value	VERB
ajst-8910	44	15	pca	pca	PROPN
ajst-8910	44	16	when	when	SCONJ
ajst-8910	44	17	the	the	DET
ajst-8910	44	18	collected	collect	VERB
ajst-8910	44	19	data	data	NOUN
ajst-8910	44	20	is	be	AUX
ajst-8910	44	21	imprecise	imprecise	ADV
ajst-8910	44	22	.	.	PUNCT
ajst-8910	45	1	104	104	NUM
ajst-8910	45	2	2	2	NUM
ajst-8910	45	3	.	.	PUNCT
ajst-8910	45	4	preliminary	preliminary	ADJ
ajst-8910	45	5	2.1	2.1	NUM
ajst-8910	45	6	.	.	PUNCT
ajst-8910	45	7	pca	pca	NOUN
ajst-8910	45	8	in	in	ADP
ajst-8910	45	9	recent	recent	ADJ
ajst-8910	45	10	years	year	NOUN
ajst-8910	45	11	,	,	PUNCT
ajst-8910	45	12	principal	principal	ADJ
ajst-8910	45	13	components	component	NOUN
ajst-8910	45	14	analysis(10	analysis(10	NOUN
ajst-8910	45	15	)	)	PUNCT
ajst-8910	45	16	is	be	AUX
ajst-8910	45	17	widely	widely	ADV
ajst-8910	45	18	used	use	VERB
ajst-8910	45	19	to	to	PART
ajst-8910	45	20	extract	extract	VERB
ajst-8910	45	21	the	the	DET
ajst-8910	45	22	main	main	ADJ
ajst-8910	45	23	relationship	relationship	NOUN
ajst-8910	45	24	of	of	ADP
ajst-8910	45	25	variables	variable	NOUN
ajst-8910	45	26	in	in	ADP
ajst-8910	45	27	a	a	DET
ajst-8910	45	28	multidimensional	multidimensional	ADJ
ajst-8910	45	29	data	data	NOUN
ajst-8910	45	30	set	set	VERB
ajst-8910	45	31	.	.	PUNCT
ajst-8910	46	1	it	it	PRON
ajst-8910	46	2	reduces	reduce	VERB
ajst-8910	46	3	the	the	DET
ajst-8910	46	4	complexity	complexity	NOUN
ajst-8910	46	5	of	of	ADP
ajst-8910	46	6	the	the	DET
ajst-8910	46	7	multivariate	multivariate	NOUN
ajst-8910	46	8	data	datum	NOUN
ajst-8910	46	9	via	via	ADP
ajst-8910	46	10	a	a	DET
ajst-8910	46	11	projection	projection	NOUN
ajst-8910	46	12	into	into	ADP
ajst-8910	46	13	a	a	DET
ajst-8910	46	14	subspace	subspace	NOUN
ajst-8910	46	15	which	which	PRON
ajst-8910	46	16	preserves	preserve	VERB
ajst-8910	46	17	maximum	maximum	ADJ
ajst-8910	46	18	variance	variance	NOUN
ajst-8910	46	19	of	of	ADP
ajst-8910	46	20	the	the	DET
ajst-8910	46	21	original	original	ADJ
ajst-8910	46	22	space	space	NOUN
ajst-8910	46	23	in	in	ADP
ajst-8910	46	24	less	less	ADJ
ajst-8910	46	25	number	number	NOUN
ajst-8910	46	26	of	of	ADP
ajst-8910	46	27	dimensions	dimension	NOUN
ajst-8910	46	28	.	.	PUNCT
ajst-8910	47	1	let	let	VERB
ajst-8910	47	2	us	we	PRON
ajst-8910	47	3	consider	consider	VERB
ajst-8910	47	4	n	n	PRON
ajst-8910	47	5	mx	mx	VERB
ajst-8910	47	6	r	r	NOUN
ajst-8910	47	7	the	the	DET
ajst-8910	47	8	data	data	NOUN
ajst-8910	47	9	matrix	matrix	NOUN
ajst-8910	47	10	containing	contain	VERB
ajst-8910	47	11	n	n	PRON
ajst-8910	47	12	samples	sample	NOUN
ajst-8910	47	13	of	of	ADP
ajst-8910	47	14	m	m	NOUN
ajst-8910	47	15	process	process	NOUN
ajst-8910	47	16	variables	variable	NOUN
ajst-8910	47	17	.	.	PUNCT
ajst-8910	48	1	before	before	ADP
ajst-8910	48	2	applling	applle	VERB
ajst-8910	48	3	pca	pca	PROPN
ajst-8910	48	4	,	,	PUNCT
ajst-8910	48	5	matrix	matrix	NOUN
ajst-8910	48	6	x	x	PUNCT
ajst-8910	48	7	must	must	AUX
ajst-8910	48	8	be	be	AUX
ajst-8910	48	9	normalized	normalize	VERB
ajst-8910	48	10	to	to	ADP
ajst-8910	48	11	zero	zero	NUM
ajst-8910	48	12	mean	mean	NOUN
ajst-8910	48	13	and	and	CCONJ
ajst-8910	48	14	unit	unit	NOUN
ajst-8910	48	15	variance	variance	NOUN
ajst-8910	48	16	.	.	PUNCT
ajst-8910	49	1	then	then	ADV
ajst-8910	49	2	,	,	PUNCT
ajst-8910	49	3	the	the	DET
ajst-8910	49	4	pca	pca	PROPN
ajst-8910	49	5	linear	linear	PROPN
ajst-8910	49	6	projection	projection	NOUN
ajst-8910	49	7	can	can	AUX
ajst-8910	49	8	be	be	AUX
ajst-8910	49	9	expressed	express	VERB
ajst-8910	49	10	as	as	ADP
ajst-8910	49	11	,	,	PUNCT
ajst-8910	49	12	tt	tt	PROPN
ajst-8910	49	13	xp	xp	INTJ
ajst-8910	49	14	x	x	PROPN
ajst-8910	49	15	tp	tp	PROPN
ajst-8910	49	16	(	(	PUNCT
ajst-8910	49	17	1	1	NUM
ajst-8910	49	18	)	)	PUNCT
ajst-8910	49	19	where	where	SCONJ
ajst-8910	49	20	n	n	PRON
ajst-8910	49	21	mt	mt	PROPN
ajst-8910	49	22	r	r	NOUN
ajst-8910	49	23	is	be	AUX
ajst-8910	49	24	the	the	DET
ajst-8910	49	25	principal	principal	ADJ
ajst-8910	49	26	component	component	NOUN
ajst-8910	49	27	matrix	matrix	NOUN
ajst-8910	49	28	and	and	CCONJ
ajst-8910	49	29	m	m	PROPN
ajst-8910	49	30	mp	mp	NOUN
ajst-8910	49	31	r	r	NOUN
ajst-8910	49	32	contains	contain	VERB
ajst-8910	49	33	the	the	DET
ajst-8910	49	34	principal	principal	ADJ
ajst-8910	49	35	vectors	vector	NOUN
ajst-8910	49	36	which	which	PRON
ajst-8910	49	37	are	be	AUX
ajst-8910	49	38	the	the	DET
ajst-8910	49	39	eigenvectors	eigenvector	NOUN
ajst-8910	49	40	associated	associate	VERB
ajst-8910	49	41	with	with	ADP
ajst-8910	49	42	the	the	DET
ajst-8910	49	43	eigenvalues	eigenvalue	NOUN
ajst-8910	49	44	of	of	ADP
ajst-8910	49	45	the	the	DET
ajst-8910	49	46	covariance	covariance	NOUN
ajst-8910	49	47	matrix	matrix	NOUN
ajst-8910	49	48	of	of	ADP
ajst-8910	49	49	x	x	PROPN
ajst-8910	49	50	.	.	PUNCT
ajst-8910	49	51	1	1	NUM
ajst-8910	49	52	1	1	NUM
ajst-8910	49	53	0	0	NUM
ajst-8910	49	54	0	0	NUM
ajst-8910	49	55	t	t	NOUN
ajst-8910	49	56	t	t	PROPN
ajst-8910	49	57	lt	lt	PRON
ajst-8910	49	58	l	l	PROPN
ajst-8910	49	59	l	l	NOUN
ajst-8910	49	60	m	m	VERB
ajst-8910	49	61	l	l	NOUN
ajst-8910	49	62	t	t	NOUN
ajst-8910	49	63	m	m	NOUN
ajst-8910	49	64	l	l	NOUN
ajst-8910	49	65	m	m	VERB
ajst-8910	49	66	l	l	NOUN
ajst-8910	49	67	x	x	X
ajst-8910	49	68	x	x	PUNCT
ajst-8910	50	1	n	n	ADP
ajst-8910	50	2	p	p	X
ajst-8910	51	1	p	p	X
ajst-8910	51	2	p	p	X
ajst-8910	51	3	p	p	PROPN
ajst-8910	51	4	p	p	X
ajst-8910	51	5	p	p	X
ajst-8910	51	6	(	(	PUNCT
ajst-8910	51	7	2	2	NUM
ajst-8910	51	8	)	)	PUNCT
ajst-8910	51	9	where	where	SCONJ
ajst-8910	51	10	t	t	PROPN
ajst-8910	51	11	t	t	PROPN
ajst-8910	51	12	mpp	mpp	PROPN
ajst-8910	52	1	p	p	PROPN
ajst-8910	52	2	p	p	PROPN
ajst-8910	52	3	i	i	PRON
ajst-8910	52	4	,	,	PUNCT
ajst-8910	52	5	and	and	CCONJ
ajst-8910	52	6	is	be	AUX
ajst-8910	52	7	a	a	DET
ajst-8910	52	8	diagonal	diagonal	ADJ
ajst-8910	52	9	matrix	matrix	NOUN
ajst-8910	52	10	that	that	PRON
ajst-8910	52	11	contains	contain	VERB
ajst-8910	52	12	in	in	ADP
ajst-8910	52	13	its	its	PRON
ajst-8910	52	14	diagonal	diagonal	NOUN
ajst-8910	52	15	the	the	DET
ajst-8910	52	16	eigenvalues	eigenvalue	NOUN
ajst-8910	52	17	of	of	ADP
ajst-8910	52	18	sorted	sort	VERB
ajst-8910	52	19	in	in	ADP
ajst-8910	52	20	decreasing	decrease	VERB
ajst-8910	52	21	order	order	NOUN
ajst-8910	52	22	.	.	PUNCT
ajst-8910	53	1	then	then	ADV
ajst-8910	53	2	,	,	PUNCT
ajst-8910	53	3	the	the	DET
ajst-8910	53	4	most	most	ADV
ajst-8910	53	5	important	important	ADJ
ajst-8910	53	6	step	step	NOUN
ajst-8910	53	7	in	in	ADP
ajst-8910	53	8	performing	perform	VERB
ajst-8910	53	9	pca	pca	NOUN
ajst-8910	53	10	modeling	modeling	NOUN
ajst-8910	53	11	is	be	AUX
ajst-8910	53	12	the	the	DET
ajst-8910	53	13	determination	determination	NOUN
ajst-8910	53	14	of	of	ADP
ajst-8910	53	15	the	the	DET
ajst-8910	53	16	number	number	NOUN
ajst-8910	53	17	of	of	ADP
ajst-8910	53	18	components	component	NOUN
ajst-8910	53	19	to	to	PART
ajst-8910	53	20	be	be	AUX
ajst-8910	53	21	retained	retain	VERB
ajst-8910	53	22	.	.	PUNCT
ajst-8910	54	1	several	several	ADJ
ajst-8910	54	2	ways	way	NOUN
ajst-8910	54	3	can	can	AUX
ajst-8910	54	4	be	be	AUX
ajst-8910	54	5	applied	apply	VERB
ajst-8910	54	6	to	to	PART
ajst-8910	54	7	determine	determine	VERB
ajst-8910	54	8	the	the	DET
ajst-8910	54	9	number	number	NOUN
ajst-8910	54	10	of	of	ADP
ajst-8910	54	11	main	main	ADJ
ajst-8910	54	12	components	component	NOUN
ajst-8910	54	13	,	,	PUNCT
ajst-8910	54	14	in	in	ADP
ajst-8910	54	15	this	this	DET
ajst-8910	54	16	paper	paper	NOUN
ajst-8910	54	17	,	,	PUNCT
ajst-8910	54	18	the	the	DET
ajst-8910	54	19	percentage	percentage	NOUN
ajst-8910	54	20	of	of	ADP
ajst-8910	54	21	accumulated	accumulate	VERB
ajst-8910	54	22	contribution	contribution	NOUN
ajst-8910	54	23	of	of	ADP
ajst-8910	54	24	variances	variance	NOUN
ajst-8910	54	25	can	can	AUX
ajst-8910	54	26	be	be	AUX
ajst-8910	54	27	used	use	VERB
ajst-8910	54	28	as	as	ADP
ajst-8910	54	29	the	the	DET
ajst-8910	54	30	parameter	parameter	NOUN
ajst-8910	54	31	.	.	PUNCT
ajst-8910	55	1	the	the	DET
ajst-8910	55	2	transformation	transformation	NOUN
ajst-8910	55	3	matrix	matrix	NOUN
ajst-8910	55	4	m	m	VERB
ajst-8910	55	5	lp	lp	ADJ
ajst-8910	55	6	r	r	NOUN
ajst-8910	55	7	is	be	AUX
ajst-8910	55	8	generated	generate	VERB
ajst-8910	55	9	by	by	ADP
ajst-8910	55	10	choosing	choose	VERB
ajst-8910	55	11	l	l	NOUN
ajst-8910	55	12	eigenvectors	eigenvector	NOUN
ajst-8910	55	13	of	of	ADP
ajst-8910	55	14	p	p	NOUN
ajst-8910	55	15	corresponding	correspond	VERB
ajst-8910	55	16	to	to	ADP
ajst-8910	55	17	largest	large	ADJ
ajst-8910	55	18	l	l	NOUN
ajst-8910	55	19	eigenvalues	eigenvalue	NOUN
ajst-8910	55	20	.	.	PUNCT
ajst-8910	56	1	the	the	DET
ajst-8910	56	2	reduced	reduced	ADJ
ajst-8910	56	3	dimension	dimension	NOUN
ajst-8910	56	4	space	space	NOUN
ajst-8910	56	5	x	x	PUNCT
ajst-8910	56	6	can	can	AUX
ajst-8910	56	7	be	be	AUX
ajst-8910	56	8	denoted	denote	VERB
ajst-8910	56	9	as	as	ADP
ajst-8910	56	10	t	t	PROPN
ajst-8910	56	11	l	l	NOUN
ajst-8910	56	12	lx	lx	NOUN
ajst-8910	56	13	xpp	xpp	PROPN
ajst-8910	56	14	(	(	PUNCT
ajst-8910	56	15	3	3	X
ajst-8910	56	16	)	)	PUNCT
ajst-8910	56	17	the	the	DET
ajst-8910	56	18	residual	residual	ADJ
ajst-8910	56	19	space	space	NOUN
ajst-8910	56	20	,	,	PUNCT
ajst-8910	56	21	also	also	ADV
ajst-8910	56	22	denoted	denote	VERB
ajst-8910	56	23	e	e	NOUN
ajst-8910	56	24	,	,	PUNCT
ajst-8910	56	25	is	be	AUX
ajst-8910	56	26	the	the	DET
ajst-8910	56	27	residual	residual	ADJ
ajst-8910	56	28	between	between	ADP
ajst-8910	56	29	x	x	PROPN
ajst-8910	56	30	and	and	CCONJ
ajst-8910	56	31	x	x	INTJ
ajst-8910	56	32	.	.	PUNCT
ajst-8910	57	1	e	e	X
ajst-8910	57	2	x	x	PUNCT
ajst-8910	57	3	x	x	X
ajst-8910	57	4	(	(	PUNCT
ajst-8910	57	5	4	4	NUM
ajst-8910	57	6	)	)	PUNCT
ajst-8910	57	7	at	at	ADP
ajst-8910	57	8	each	each	DET
ajst-8910	57	9	sampling	sample	VERB
ajst-8910	57	10	time	time	NOUN
ajst-8910	57	11	k	k	PROPN
ajst-8910	57	12	,	,	PUNCT
ajst-8910	57	13	the	the	DET
ajst-8910	57	14	measurement	measurement	NOUN
ajst-8910	57	15	vector	vector	NOUN
ajst-8910	57	16	is	be	AUX
ajst-8910	57	17	1	1	NUM
ajst-8910	57	18	2	2	NUM
ajst-8910	57	19	.	.	PUNCT
ajst-8910	57	20	.	.	PUNCT
ajst-8910	57	21	.	.	PUNCT
ajst-8910	58	1	mx	mx	PROPN
ajst-8910	59	1	k	k	NOUN
ajst-8910	59	2	x	x	PUNCT
ajst-8910	59	3	k	k	NOUN
ajst-8910	59	4	x	x	X
ajst-8910	59	5	k	k	NOUN
ajst-8910	59	6	x	x	SYM
ajst-8910	59	7	k	k	NOUN
ajst-8910	59	8	,	,	PUNCT
ajst-8910	59	9	and	and	CCONJ
ajst-8910	59	10	its	its	PRON
ajst-8910	59	11	estimation	estimation	NOUN
ajst-8910	59	12	is	be	AUX
ajst-8910	59	13	1	1	NUM
ajst-8910	59	14	2	2	NUM
ajst-8910	59	15	.	.	PUNCT
ajst-8910	59	16	.	.	PUNCT
ajst-8910	59	17	.	.	PUNCT
ajst-8910	60	1	mx	mx	PROPN
ajst-8910	61	1	k	k	NOUN
ajst-8910	61	2	x	x	PUNCT
ajst-8910	61	3	k	k	NOUN
ajst-8910	61	4	x	x	X
ajst-8910	61	5	k	k	NOUN
ajst-8910	61	6	x	x	SYM
ajst-8910	61	7	k	k	NOUN
ajst-8910	61	8	,	,	PUNCT
ajst-8910	61	9	and	and	CCONJ
ajst-8910	61	10	estimation	estimation	NOUN
ajst-8910	61	11	error	error	NOUN
ajst-8910	61	12	can	can	AUX
ajst-8910	61	13	be	be	AUX
ajst-8910	61	14	expressed	express	VERB
ajst-8910	61	15	as	as	ADP
ajst-8910	61	16	:	:	PUNCT
ajst-8910	61	17	e	e	X
ajst-8910	61	18	k	k	NOUN
ajst-8910	61	19	x	x	PUNCT
ajst-8910	61	20	k	k	NOUN
ajst-8910	61	21	x	x	SYM
ajst-8910	61	22	k	k	X
ajst-8910	61	23	(	(	PUNCT
ajst-8910	61	24	5	5	NUM
ajst-8910	61	25	)	)	PUNCT
ajst-8910	61	26	when	when	SCONJ
ajst-8910	61	27	it	it	PRON
ajst-8910	61	28	comes	come	VERB
ajst-8910	61	29	to	to	ADP
ajst-8910	61	30	the	the	DET
ajst-8910	61	31	fault	fault	NOUN
ajst-8910	61	32	detection	detection	NOUN
ajst-8910	61	33	,	,	PUNCT
ajst-8910	61	34	the	the	DET
ajst-8910	61	35	established	establish	VERB
ajst-8910	61	36	pca	pca	NOUN
ajst-8910	61	37	model	model	NOUN
ajst-8910	61	38	describes	describe	VERB
ajst-8910	61	39	the	the	DET
ajst-8910	61	40	relationship	relationship	NOUN
ajst-8910	61	41	between	between	ADP
ajst-8910	61	42	normal	normal	ADJ
ajst-8910	61	43	process	process	NOUN
ajst-8910	61	44	data	datum	NOUN
ajst-8910	61	45	in	in	ADP
ajst-8910	61	46	principal	principal	NOUN
ajst-8910	61	47	and	and	CCONJ
ajst-8910	61	48	residual	residual	ADJ
ajst-8910	61	49	spaces	space	NOUN
ajst-8910	61	50	.	.	PUNCT
ajst-8910	62	1	fault	fault	NOUN
ajst-8910	62	2	events	event	NOUN
ajst-8910	62	3	will	will	AUX
ajst-8910	62	4	be	be	AUX
ajst-8910	62	5	detected	detect	VERB
ajst-8910	62	6	by	by	ADP
ajst-8910	62	7	referencing	reference	VERB
ajst-8910	62	8	the	the	DET
ajst-8910	62	9	observed	observed	ADJ
ajst-8910	62	10	behavior	behavior	NOUN
ajst-8910	62	11	against	against	ADP
ajst-8910	62	12	this	this	DET
ajst-8910	62	13	model	model	NOUN
ajst-8910	62	14	especially	especially	ADV
ajst-8910	62	15	in	in	ADP
ajst-8910	62	16	residuals	residual	NOUN
ajst-8910	62	17	which	which	PRON
ajst-8910	62	18	are	be	AUX
ajst-8910	62	19	expected	expect	VERB
ajst-8910	62	20	to	to	PART
ajst-8910	62	21	be	be	AUX
ajst-8910	62	22	null	null	ADJ
ajst-8910	62	23	in	in	ADP
ajst-8910	62	24	the	the	DET
ajst-8910	62	25	fault	fault	NOUN
ajst-8910	62	26	-	-	PUNCT
ajst-8910	62	27	free	free	ADJ
ajst-8910	62	28	case	case	NOUN
ajst-8910	62	29	,	,	PUNCT
ajst-8910	62	30	and	and	CCONJ
ajst-8910	62	31	different	different	ADJ
ajst-8910	62	32	from	from	ADP
ajst-8910	62	33	zero	zero	NUM
ajst-8910	62	34	in	in	ADP
ajst-8910	62	35	the	the	DET
ajst-8910	62	36	presence	presence	NOUN
ajst-8910	62	37	of	of	ADP
ajst-8910	62	38	faults	fault	NOUN
ajst-8910	62	39	.	.	PUNCT
ajst-8910	63	1	2.2	2.2	NUM
ajst-8910	63	2	.	.	PUNCT
ajst-8910	63	3	ipca	ipca	PROPN
ajst-8910	63	4	in	in	ADP
ajst-8910	63	5	this	this	DET
ajst-8910	63	6	section	section	NOUN
ajst-8910	63	7	,	,	PUNCT
ajst-8910	63	8	several	several	ADJ
ajst-8910	63	9	interval	interval	NOUN
ajst-8910	63	10	pca	pca	NOUN
ajst-8910	63	11	methods	method	NOUN
ajst-8910	63	12	are	be	AUX
ajst-8910	63	13	introduced	introduce	VERB
ajst-8910	63	14	.	.	PUNCT
ajst-8910	64	1	as	as	SCONJ
ajst-8910	64	2	the	the	DET
ajst-8910	64	3	interval	interval	NOUN
ajst-8910	64	4	pca	pca	NOUN
ajst-8910	64	5	approach	approach	NOUN
ajst-8910	64	6	is	be	AUX
ajst-8910	64	7	an	an	DET
ajst-8910	64	8	extended	extended	ADJ
ajst-8910	64	9	version	version	NOUN
ajst-8910	64	10	of	of	ADP
ajst-8910	64	11	the	the	DET
ajst-8910	64	12	classical	classical	ADJ
ajst-8910	64	13	pca	pca	NOUN
ajst-8910	64	14	approach	approach	NOUN
ajst-8910	64	15	applied	apply	VERB
ajst-8910	64	16	to	to	ADP
ajst-8910	64	17	interval	interval	NOUN
ajst-8910	64	18	data	datum	NOUN
ajst-8910	64	19	.	.	PUNCT
ajst-8910	65	1	the	the	DET
ajst-8910	65	2	interval	interval	NOUN
ajst-8910	65	3	data	datum	NOUN
ajst-8910	65	4	are	be	AUX
ajst-8910	65	5	introduced	introduce	VERB
ajst-8910	65	6	first	first	ADV
ajst-8910	65	7	.	.	PUNCT
ajst-8910	66	1	2.2.1	2.2.1	NUM
ajst-8910	66	2	interval	interval	NOUN
ajst-8910	66	3	data	datum	NOUN
ajst-8910	66	4	interval	interval	NOUN
ajst-8910	66	5	arithmetic	arithmetic	NOUN
ajst-8910	66	6	is	be	AUX
ajst-8910	66	7	the	the	DET
ajst-8910	66	8	foundation	foundation	NOUN
ajst-8910	66	9	of	of	ADP
ajst-8910	66	10	many	many	ADJ
ajst-8910	66	11	interval	interval	NOUN
ajst-8910	66	12	algorithms(11	algorithms(11	PROPN
ajst-8910	66	13	)	)	PUNCT
ajst-8910	66	14	.	.	PUNCT
ajst-8910	67	1	interval	interval	NOUN
ajst-8910	67	2	numbers	number	NOUN
ajst-8910	67	3	are	be	AUX
ajst-8910	67	4	the	the	DET
ajst-8910	67	5	basis	basis	NOUN
ajst-8910	67	6	of	of	ADP
ajst-8910	67	7	arithmetic	arithmetic	ADJ
ajst-8910	67	8	operations	operation	NOUN
ajst-8910	67	9	and	and	CCONJ
ajst-8910	67	10	are	be	AUX
ajst-8910	67	11	defined	define	VERB
ajst-8910	67	12	as	as	ADP
ajst-8910	67	13	,	,	PUNCT
ajst-8910	67	14	,	,	PUNCT
ajst-8910	67	15	x	x	PUNCT
ajst-8910	67	16	x	x	PUNCT
ajst-8910	67	17	x	x	PUNCT
ajst-8910	68	1	i	i	NOUN
ajst-8910	68	2	r	r	NOUN
ajst-8910	68	3	x	x	PUNCT
ajst-8910	68	4	x	x	NOUN
ajst-8910	68	5	,	,	PUNCT
ajst-8910	68	6	where	where	SCONJ
ajst-8910	68	7	x	x	PUNCT
ajst-8910	68	8	and	and	CCONJ
ajst-8910	68	9	x	x	PRON
ajst-8910	68	10	are	be	AUX
ajst-8910	68	11	real	real	ADJ
ajst-8910	68	12	numbers	number	NOUN
ajst-8910	68	13	and	and	CCONJ
ajst-8910	68	14	x	x	X
ajst-8910	68	15	is	be	AUX
ajst-8910	68	16	an	an	DET
ajst-8910	68	17	interval	interval	NOUN
ajst-8910	68	18	number	number	NOUN
ajst-8910	68	19	.	.	PUNCT
ajst-8910	69	1	if	if	SCONJ
ajst-8910	69	2	the	the	DET
ajst-8910	69	3	width	width	NOUN
ajst-8910	69	4	of	of	ADP
ajst-8910	69	5	x	x	PUNCT
ajst-8910	69	6	is	be	AUX
ajst-8910	69	7	denoted	denote	VERB
ajst-8910	69	8	as	as	ADP
ajst-8910	69	9	w	w	PROPN
ajst-8910	69	10	x	x	NOUN
ajst-8910	69	11	,	,	PUNCT
ajst-8910	69	12	then	then	ADV
ajst-8910	69	13	w	w	NOUN
ajst-8910	69	14	x	x	NOUN
ajst-8910	69	15	x	x	PUNCT
ajst-8910	70	1	x	x	X
ajst-8910	70	2	.	.	PUNCT
ajst-8910	71	1	the	the	DET
ajst-8910	71	2	median	median	NOUN
ajst-8910	71	3	of	of	ADP
ajst-8910	71	4	x	x	PRON
ajst-8910	71	5	can	can	AUX
ajst-8910	71	6	be	be	AUX
ajst-8910	71	7	denoted	denote	VERB
ajst-8910	71	8	as	as	ADP
ajst-8910	71	9	2	2	NUM
ajst-8910	71	10	m	m	NOUN
ajst-8910	71	11	x	x	NOUN
ajst-8910	71	12	x	x	PUNCT
ajst-8910	71	13	x	x	X
ajst-8910	71	14	.	.	PUNCT
ajst-8910	72	1	if	if	SCONJ
ajst-8910	72	2	n	n	NOUN
ajst-8910	72	3	mx	mx	NOUN
ajst-8910	72	4	r	r	NOUN
ajst-8910	72	5	is	be	AUX
ajst-8910	72	6	the	the	DET
ajst-8910	72	7	conventional	conventional	ADJ
ajst-8910	72	8	data	data	NOUN
ajst-8910	72	9	matrix	matrix	NOUN
ajst-8910	72	10	containing	contain	VERB
ajst-8910	72	11	n	n	PRON
ajst-8910	72	12	samples	sample	NOUN
ajst-8910	72	13	of	of	ADP
ajst-8910	72	14	m	m	NOUN
ajst-8910	72	15	process	process	NOUN
ajst-8910	72	16	variables	variable	NOUN
ajst-8910	72	17	in	in	ADP
ajst-8910	72	18	normal	normal	ADJ
ajst-8910	72	19	condition	condition	NOUN
ajst-8910	72	20	,	,	PUNCT
ajst-8910	72	21	where	where	SCONJ
ajst-8910	72	22	jx	jx	PROPN
ajst-8910	72	23	k	k	PROPN
ajst-8910	72	24	is	be	AUX
ajst-8910	72	25	the	the	DET
ajst-8910	72	26	kth	kth	PROPN
ajst-8910	72	27	observation	observation	NOUN
ajst-8910	72	28	of	of	ADP
ajst-8910	72	29	the	the	DET
ajst-8910	72	30	jth	jth	PROPN
ajst-8910	72	31	variable	variable	NOUN
ajst-8910	72	32	.	.	PUNCT
ajst-8910	73	1	all	all	DET
ajst-8910	73	2	the	the	DET
ajst-8910	73	3	observation	observation	NOUN
ajst-8910	73	4	data	datum	NOUN
ajst-8910	73	5	is	be	AUX
ajst-8910	73	6	considered	consider	VERB
ajst-8910	73	7	imprecise	imprecise	ADV
ajst-8910	73	8	and	and	CCONJ
ajst-8910	73	9	expressed	express	VERB
ajst-8910	73	10	in	in	ADP
ajst-8910	73	11	interval	interval	NOUN
ajst-8910	73	12	format	format	NOUN
ajst-8910	73	13	,	,	PUNCT
ajst-8910	73	14	then	then	ADV
ajst-8910	73	15	the	the	DET
ajst-8910	73	16	new	new	ADJ
ajst-8910	73	17	interval	interval	NOUN
ajst-8910	73	18	matrix	matrix	NOUN
ajst-8910	74	1	[	[	X
ajst-8910	74	2	x	x	X
ajst-8910	74	3	]	]	X
ajst-8910	74	4	is	be	AUX
ajst-8910	74	5	formalized	formalize	VERB
ajst-8910	74	6	as	as	ADP
ajst-8910	74	7	a	a	DET
ajst-8910	74	8	set	set	NOUN
ajst-8910	74	9	of	of	ADP
ajst-8910	74	10	interval	interval	NOUN
ajst-8910	74	11	valued	value	VERB
ajst-8910	74	12	observation	observation	NOUN
ajst-8910	74	13	as	as	ADP
ajst-8910	74	14	below	below	ADP
ajst-8910	74	15	1	1	NUM
ajst-8910	74	16	1	1	NUM
ajst-8910	74	17	1	1	NUM
ajst-8910	74	18	1	1	NUM
ajst-8910	74	19	1	1	NUM
ajst-8910	74	20	,	,	PUNCT
ajst-8910	74	21	1	1	NUM
ajst-8910	74	22	1	1	NUM
ajst-8910	74	23	,	,	PUNCT
ajst-8910	74	24	1	1	NUM
ajst-8910	74	25	,	,	PUNCT
ajst-8910	74	26	,	,	PUNCT
ajst-8910	74	27	m	m	VERB
ajst-8910	74	28	m	m	VERB
ajst-8910	74	29	m	m	VERB
ajst-8910	74	30	m	m	VERB
ajst-8910	74	31	x	x	X
ajst-8910	74	32	x	x	PUNCT
ajst-8910	74	33	x	x	PUNCT
ajst-8910	74	34	x	x	SYM
ajst-8910	74	35	x	x	SYM
ajst-8910	74	36	n	n	PROPN
ajst-8910	74	37	x	x	SYM
ajst-8910	74	38	n	n	PROPN
ajst-8910	74	39	x	x	SYM
ajst-8910	74	40	n	n	PROPN
ajst-8910	74	41	x	x	SYM
ajst-8910	74	42	n	n	PROPN
ajst-8910	74	43	x	x	SYM
ajst-8910	74	44	m	m	VERB
ajst-8910	74	45	x	x	X
ajst-8910	74	46	nmx	nmx	PROPN
ajst-8910	74	47	n	n	X
ajst-8910	74	48	(	(	PUNCT
ajst-8910	74	49	6	6	NUM
ajst-8910	74	50	)	)	PUNCT
ajst-8910	74	51	when	when	SCONJ
ajst-8910	74	52	defining	define	VERB
ajst-8910	74	53	an	an	DET
ajst-8910	74	54	interval	interval	NOUN
ajst-8910	74	55	model	model	NOUN
ajst-8910	74	56	of	of	ADP
ajst-8910	74	57	the	the	DET
ajst-8910	74	58	measured	measure	VERB
ajst-8910	74	59	data	datum	NOUN
ajst-8910	74	60	,	,	PUNCT
ajst-8910	74	61	the	the	DET
ajst-8910	74	62	radius	radius	NOUN
ajst-8910	74	63	of	of	ADP
ajst-8910	74	64	the	the	DET
ajst-8910	74	65	interval	interval	NOUN
ajst-8910	74	66	observation	observation	NOUN
ajst-8910	74	67	is	be	AUX
ajst-8910	74	68	given	give	VERB
ajst-8910	74	69	by	by	ADP
ajst-8910	74	70	the	the	DET
ajst-8910	74	71	measurement	measurement	NOUN
ajst-8910	74	72	error	error	NOUN
ajst-8910	74	73	r	r	NOUN
ajst-8910	74	74	jx	jx	PROPN
ajst-8910	74	75	k	k	PROPN
ajst-8910	74	76	,	,	PUNCT
ajst-8910	74	77	while	while	SCONJ
ajst-8910	74	78	the	the	DET
ajst-8910	74	79	center	center	NOUN
ajst-8910	74	80	of	of	ADP
ajst-8910	74	81	the	the	DET
ajst-8910	74	82	interval	interval	NOUN
ajst-8910	74	83	is	be	AUX
ajst-8910	74	84	given	give	VERB
ajst-8910	74	85	by	by	ADP
ajst-8910	74	86	the	the	DET
ajst-8910	74	87	measurement	measurement	NOUN
ajst-8910	74	88	c	c	PROPN
ajst-8910	74	89	jx	jx	PROPN
ajst-8910	74	90	k	k	PROPN
ajst-8910	74	91	.	.	PUNCT
ajst-8910	75	1	thus	thus	ADV
ajst-8910	75	2	,	,	PUNCT
ajst-8910	75	3	yielding	yield	VERB
ajst-8910	75	4	the	the	DET
ajst-8910	75	5	following	follow	VERB
ajst-8910	75	6	interval	interval	NOUN
ajst-8910	75	7	construction	construction	NOUN
ajst-8910	75	8	formulas	formula	NOUN
ajst-8910	75	9	,	,	PUNCT
ajst-8910	75	10	representing	represent	VERB
ajst-8910	75	11	respectively	respectively	ADV
ajst-8910	75	12	,	,	PUNCT
ajst-8910	75	13	standard	standard	ADJ
ajst-8910	75	14	form	form	NOUN
ajst-8910	75	15	and	and	CCONJ
ajst-8910	75	16	midpoint	midpoint	NOUN
ajst-8910	75	17	-	-	PUNCT
ajst-8910	75	18	radius	radius	NOUN
ajst-8910	75	19	form	form	NOUN
ajst-8910	75	20	.	.	PUNCT
ajst-8910	76	1	,	,	PUNCT
ajst-8910	77	1	c	c	NOUN
ajst-8910	78	1	r	r	NOUN
ajst-8910	78	2	c	c	NOUN
ajst-8910	78	3	r	r	NOUN
ajst-8910	78	4	j	j	PROPN
ajst-8910	78	5	j	j	PROPN
ajst-8910	78	6	j	j	PROPN
ajst-8910	79	1	j	j	PROPN
ajst-8910	79	2	jx	jx	PROPN
ajst-8910	79	3	k	k	PROPN
ajst-8910	80	1	x	x	PUNCT
ajst-8910	80	2	k	k	NOUN
ajst-8910	80	3	x	x	X
ajst-8910	81	1	k	k	NOUN
ajst-8910	81	2	x	x	SYM
ajst-8910	81	3	k	k	NOUN
ajst-8910	81	4	x	x	SYM
ajst-8910	81	5	k	k	X
ajst-8910	81	6	(	(	PUNCT
ajst-8910	81	7	7	7	NUM
ajst-8910	81	8	)	)	PUNCT
ajst-8910	81	9	where	where	SCONJ
ajst-8910	81	10	2	2	NUM
ajst-8910	81	11	j	j	PROPN
ajst-8910	81	12	jc	jc	PROPN
ajst-8910	81	13	j	j	PROPN
ajst-8910	81	14	x	x	X
ajst-8910	81	15	k	k	NOUN
ajst-8910	81	16	x	x	X
ajst-8910	81	17	k	k	NOUN
ajst-8910	81	18	x	x	SYM
ajst-8910	81	19	k	k	PROPN
ajst-8910	81	20	and	and	CCONJ
ajst-8910	82	1	2	2	NUM
ajst-8910	82	2	j	j	PROPN
ajst-8910	82	3	jr	jr	PROPN
ajst-8910	82	4	j	j	PROPN
ajst-8910	82	5	x	x	X
ajst-8910	83	1	k	k	NOUN
ajst-8910	83	2	x	x	X
ajst-8910	83	3	k	k	NOUN
ajst-8910	83	4	x	x	X
ajst-8910	83	5	k	k	NOUN
ajst-8910	83	6	.	.	PUNCT
ajst-8910	84	1	2.2.2	2.2.2	X
ajst-8910	84	2	.	.	X
ajst-8910	84	3	centers	center	NOUN
ajst-8910	84	4	pca	pca	PROPN
ajst-8910	84	5	most	most	ADJ
ajst-8910	84	6	interval	interval	NOUN
ajst-8910	84	7	pca	pca	NOUN
ajst-8910	84	8	methods	method	NOUN
ajst-8910	84	9	are	be	AUX
ajst-8910	84	10	also	also	ADV
ajst-8910	84	11	based	base	VERB
ajst-8910	84	12	on	on	ADP
ajst-8910	84	13	the	the	DET
ajst-8910	84	14	analysis	analysis	NOUN
ajst-8910	84	15	of	of	ADP
ajst-8910	84	16	transformed	transform	VERB
ajst-8910	84	17	matrices	matrix	NOUN
ajst-8910	84	18	from	from	ADP
ajst-8910	84	19	initial	initial	ADJ
ajst-8910	84	20	interval	interval	NOUN
ajst-8910	84	21	data	datum	NOUN
ajst-8910	84	22	as	as	ADP
ajst-8910	84	23	vertices	vertex	NOUN
ajst-8910	84	24	of	of	ADP
ajst-8910	84	25	hyper	hyper	NOUN
ajst-8910	84	26	-	-	NOUN
ajst-8910	84	27	cubes	cube	NOUN
ajst-8910	84	28	or	or	CCONJ
ajst-8910	84	29	as	as	ADP
ajst-8910	84	30	centers	center	NOUN
ajst-8910	84	31	and	and	CCONJ
ajst-8910	84	32	radii	radius	NOUN
ajst-8910	84	33	.	.	PUNCT
ajst-8910	85	1	cpca(12	cpca(12	NOUN
ajst-8910	85	2	)	)	PUNCT
ajst-8910	85	3	decomposes	decompose	VERB
ajst-8910	85	4	the	the	DET
ajst-8910	85	5	correlation	correlation	NOUN
ajst-8910	85	6	matrix	matrix	NOUN
ajst-8910	85	7	of	of	ADP
ajst-8910	85	8	the	the	DET
ajst-8910	85	9	centers	center	NOUN
ajst-8910	85	10	coded	code	VERB
ajst-8910	85	11	matrix	matrix	NOUN
ajst-8910	85	12	cx	cx	NOUN
ajst-8910	86	1	and	and	CCONJ
ajst-8910	86	2	it	it	PRON
ajst-8910	86	3	projects	project	VERB
ajst-8910	86	4	the	the	DET
ajst-8910	86	5	vertices	vertex	NOUN
ajst-8910	86	6	as	as	ADP
ajst-8910	86	7	supplementary	supplementary	ADJ
ajst-8910	86	8	points	point	NOUN
ajst-8910	86	9	in	in	ADP
ajst-8910	86	10	the	the	DET
ajst-8910	86	11	factorial	factorial	ADJ
ajst-8910	86	12	subspace	subspace	NOUN
ajst-8910	86	13	.	.	PUNCT
ajst-8910	87	1	105	105	NUM
ajst-8910	87	2	1	1	NUM
ajst-8910	87	3	1	1	NUM
ajst-8910	87	4	1	1	NUM
ajst-8910	87	5	1c	1c	NOUN
ajst-8910	87	6	c	c	NOUN
ajst-8910	87	7	m	m	VERB
ajst-8910	87	8	c	c	NOUN
ajst-8910	87	9	c	c	NOUN
ajst-8910	88	1	c	c	NOUN
ajst-8910	88	2	m	m	VERB
ajst-8910	88	3	x	x	X
ajst-8910	88	4	x	x	PUNCT
ajst-8910	88	5	x	x	PUNCT
ajst-8910	88	6	x	x	SYM
ajst-8910	88	7	n	n	NOUN
ajst-8910	88	8	x	x	SYM
ajst-8910	88	9	n	n	NUM
ajst-8910	88	10	1c	1c	NUM
ajst-8910	88	11	m	m	NOUN
ajst-8910	88	12	1mx	1mx	NOUN
ajst-8910	88	13	c	c	PROPN
ajst-8910	88	14	mx	mx	PROPN
ajst-8910	88	15	nm	nm	PROPN
ajst-8910	88	16	cx	cx	PROPN
ajst-8910	88	17	n	n	CCONJ
ajst-8910	88	18	(	(	PUNCT
ajst-8910	88	19	8)	8)	NUM
ajst-8910	88	20	where	where	SCONJ
ajst-8910	88	21	c	c	AUX
ajst-8910	88	22	jx	jx	PROPN
ajst-8910	88	23	k	k	PROPN
ajst-8910	88	24	is	be	AUX
ajst-8910	88	25	the	the	DET
ajst-8910	88	26	midpoint	midpoint	NOUN
ajst-8910	88	27	or	or	CCONJ
ajst-8910	88	28	center	center	NOUN
ajst-8910	88	29	of	of	ADP
ajst-8910	88	30	the	the	DET
ajst-8910	88	31	interval	interval	NOUN
ajst-8910	88	32	at	at	ADP
ajst-8910	88	33	hand	hand	NOUN
ajst-8910	88	34	.	.	PUNCT
ajst-8910	89	1	the	the	DET
ajst-8910	89	2	cpca	cpca	NOUN
ajst-8910	89	3	algorithm	algorithm	NOUN
ajst-8910	89	4	for	for	ADP
ajst-8910	89	5	interval	interval	NOUN
ajst-8910	89	6	data	datum	NOUN
ajst-8910	89	7	can	can	AUX
ajst-8910	89	8	be	be	AUX
ajst-8910	89	9	resumed	resume	VERB
ajst-8910	89	10	in	in	ADP
ajst-8910	89	11	the	the	DET
ajst-8910	89	12	following	follow	VERB
ajst-8910	89	13	steps	step	NOUN
ajst-8910	89	14	:	:	PUNCT
ajst-8910	89	15	•	•	NUM
ajst-8910	89	16	step	step	NOUN
ajst-8910	89	17	1	1	NUM
ajst-8910	89	18	:	:	PUNCT
ajst-8910	89	19	calculate	calculate	VERB
ajst-8910	89	20	the	the	DET
ajst-8910	89	21	centers	center	NOUN
ajst-8910	89	22	coded	code	VERB
ajst-8910	89	23	matrix	matrix	NOUN
ajst-8910	89	24	cx	cx	NOUN
ajst-8910	89	25	as	as	ADP
ajst-8910	89	26	in	in	ADP
ajst-8910	89	27	(	(	PUNCT
ajst-8910	89	28	16	16	NUM
ajst-8910	89	29	)	)	PUNCT
ajst-8910	89	30	.	.	PUNCT
ajst-8910	90	1	•	•	NUM
ajst-8910	90	2	step	step	NOUN
ajst-8910	90	3	2	2	NUM
ajst-8910	90	4	:	:	PUNCT
ajst-8910	90	5	apply	apply	VERB
ajst-8910	90	6	a	a	DET
ajst-8910	90	7	classical	classical	ADJ
ajst-8910	90	8	pca	pca	NOUN
ajst-8910	90	9	on	on	ADP
ajst-8910	90	10	the	the	DET
ajst-8910	90	11	centers	center	NOUN
ajst-8910	90	12	matrix	matrix	NOUN
ajst-8910	90	13	,	,	PUNCT
ajst-8910	90	14	based	base	VERB
ajst-8910	90	15	on	on	ADP
ajst-8910	90	16	the	the	DET
ajst-8910	90	17	symbolic	symbolic	ADJ
ajst-8910	90	18	covariance	covariance	NOUN
ajst-8910	90	19	given	give	VERB
ajst-8910	90	20	in	in	ADP
ajst-8910	90	21	(	(	PUNCT
ajst-8910	90	22	9	9	NUM
ajst-8910	90	23	)	)	PUNCT
ajst-8910	90	24	and	and	CCONJ
ajst-8910	90	25	(	(	PUNCT
ajst-8910	90	26	10	10	NUM
ajst-8910	90	27	)	)	PUNCT
ajst-8910	90	28	,	,	PUNCT
ajst-8910	90	29	with	with	ADP
ajst-8910	90	30	1	1	NUM
ajst-8910	90	31	,	,	PUNCT
ajst-8910	90	32	.	.	PUNCT
ajst-8910	90	33	.	.	PUNCT
ajst-8910	91	1	.	.	PUNCT
ajst-8910	91	2	,	,	PUNCT
ajst-8910	91	3	mt	mt	PROPN
ajst-8910	91	4	t	t	PROPN
ajst-8910	91	5	being	be	AUX
ajst-8910	91	6	the	the	DET
ajst-8910	91	7	principal	principal	ADJ
ajst-8910	91	8	components	component	NOUN
ajst-8910	91	9	of	of	ADP
ajst-8910	91	10	this	this	DET
ajst-8910	91	11	pca	pca	NOUN
ajst-8910	91	12	,	,	PUNCT
ajst-8910	91	13	and	and	CCONJ
ajst-8910	91	14	1	1	NUM
ajst-8910	91	15	,	,	PUNCT
ajst-8910	91	16	.	.	PUNCT
ajst-8910	91	17	.	.	PUNCT
ajst-8910	92	1	.	.	PUNCT
ajst-8910	93	1	,	,	PUNCT
ajst-8910	93	2	mp	mp	PROPN
ajst-8910	93	3	p	p	X
ajst-8910	93	4	their	their	PRON
ajst-8910	93	5	corresponding	corresponding	ADJ
ajst-8910	93	6	eigenvectors	eigenvector	NOUN
ajst-8910	93	7	.	.	PUNCT
ajst-8910	94	1	•	•	NUM
ajst-8910	94	2	step	step	NOUN
ajst-8910	94	3	3	3	NUM
ajst-8910	94	4	:	:	PUNCT
ajst-8910	94	5	determine	determine	VERB
ajst-8910	94	6	the	the	DET
ajst-8910	94	7	new	new	ADJ
ajst-8910	94	8	interval	interval	NOUN
ajst-8910	94	9	principal	principal	NOUN
ajst-8910	94	10	components	component	NOUN
ajst-8910	94	11	as	as	ADP
ajst-8910	94	12	:	:	PUNCT
ajst-8910	94	13	1	1	NUM
ajst-8910	94	14	,	,	PUNCT
ajst-8910	94	15	0	0	NUM
ajst-8910	94	16	1	1	NUM
ajst-8910	94	17	,	,	PUNCT
ajst-8910	94	18	0	0	NUM
ajst-8910	94	19	1	1	NUM
ajst-8910	94	20	,	,	PUNCT
ajst-8910	94	21	0	0	NUM
ajst-8910	94	22	1	1	NUM
ajst-8910	94	23	,	,	PUNCT
ajst-8910	94	24	0	0	NUM
ajst-8910	95	1	ij	ij	NOUN
ajst-8910	95	2	ij	ij	INTJ
ajst-8910	95	3	ij	ij	INTJ
ajst-8910	96	1	ij	ij	INTJ
ajst-8910	96	2	m	m	NOUN
ajst-8910	96	3	m	m	VERB
ajst-8910	96	4	ij	ij	INTJ
ajst-8910	97	1	ij	ij	INTJ
ajst-8910	98	1	i	i	PRON
ajst-8910	98	2	ij	ij	INTJ
ajst-8910	99	1	i	i	PRON
ajst-8910	100	1	p	p	X
ajst-8910	101	1	i	i	PRON
ajst-8910	101	2	p	p	X
ajst-8910	101	3	m	m	NOUN
ajst-8910	101	4	m	m	VERB
ajst-8910	101	5	j	j	NOUN
ajst-8910	101	6	ii	ii	NUM
ajst-8910	102	1	ij	ij	INTJ
ajst-8910	102	2	ij	ij	INTJ
ajst-8910	102	3	i	i	PRON
ajst-8910	103	1	p	p	X
ajst-8910	104	1	i	i	PRON
ajst-8910	104	2	p	p	PROPN
ajst-8910	105	1	t	t	PROPN
ajst-8910	106	1	k	k	NOUN
ajst-8910	106	2	x	x	X
ajst-8910	107	1	k	k	X
ajst-8910	107	2	p	p	X
ajst-8910	107	3	x	x	X
ajst-8910	108	1	k	k	X
ajst-8910	108	2	p	p	PROPN
ajst-8910	108	3	t	t	PROPN
ajst-8910	109	1	k	k	NOUN
ajst-8910	109	2	x	x	X
ajst-8910	110	1	k	k	X
ajst-8910	110	2	p	p	X
ajst-8910	110	3	x	x	X
ajst-8910	110	4	k	k	X
ajst-8910	110	5	p	p	X
ajst-8910	110	6	(	(	PUNCT
ajst-8910	110	7	9	9	NUM
ajst-8910	110	8	)	)	PUNCT
ajst-8910	110	9	where	where	SCONJ
ajst-8910	110	10	ijp	ijp	NOUN
ajst-8910	110	11	is	be	AUX
ajst-8910	110	12	the	the	DET
ajst-8910	110	13	ith	ith	PROPN
ajst-8910	110	14	element	element	NOUN
ajst-8910	110	15	of	of	ADP
ajst-8910	110	16	the	the	DET
ajst-8910	110	17	jth	jth	PROPN
ajst-8910	110	18	column	column	NOUN
ajst-8910	110	19	of	of	ADP
ajst-8910	110	20	eigenvector	eigenvector	NOUN
ajst-8910	110	21	matrix	matrix	NOUN
ajst-8910	110	22	p	p	NOUN
ajst-8910	110	23	.	.	PUNCT
ajst-8910	111	1	•	•	NUM
ajst-8910	111	2	step	step	NOUN
ajst-8910	111	3	4	4	NUM
ajst-8910	111	4	:	:	PUNCT
ajst-8910	111	5	compute	compute	NOUN
ajst-8910	111	6	interval	interval	NOUN
ajst-8910	111	7	estimates	estimate	NOUN
ajst-8910	111	8	based	base	VERB
ajst-8910	111	9	on	on	ADP
ajst-8910	111	10	cpca	cpca	NOUN
ajst-8910	111	11	model	model	NOUN
ajst-8910	111	12	for	for	ADP
ajst-8910	111	13	the	the	DET
ajst-8910	111	14	first	first	ADJ
ajst-8910	111	15	l	l	NOUN
ajst-8910	111	16	components	component	NOUN
ajst-8910	111	17	as	as	ADP
ajst-8910	111	18	:	:	PUNCT
ajst-8910	111	19	1	1	NUM
ajst-8910	111	20	,	,	PUNCT
ajst-8910	111	21	0	0	NUM
ajst-8910	111	22	1	1	NUM
ajst-8910	111	23	,	,	PUNCT
ajst-8910	111	24	0	0	NUM
ajst-8910	111	25	1	1	NUM
ajst-8910	111	26	,	,	PUNCT
ajst-8910	111	27	0	0	NUM
ajst-8910	111	28	1	1	NUM
ajst-8910	111	29	,	,	PUNCT
ajst-8910	111	30	0	0	NUM
ajst-8910	112	1	ij	ij	NOUN
ajst-8910	112	2	ij	ij	INTJ
ajst-8910	112	3	ij	ij	INTJ
ajst-8910	113	1	ij	ij	INTJ
ajst-8910	113	2	m	m	NOUN
ajst-8910	113	3	m	m	VERB
ajst-8910	113	4	ij	ij	INTJ
ajst-8910	114	1	ij	ij	INTJ
ajst-8910	115	1	i	i	PRON
ajst-8910	115	2	ij	ij	INTJ
ajst-8910	116	1	i	i	PRON
ajst-8910	116	2	c	c	VERB
ajst-8910	117	1	i	i	PRON
ajst-8910	117	2	c	c	VERB
ajst-8910	117	3	m	m	VERB
ajst-8910	117	4	m	m	VERB
ajst-8910	117	5	j	j	PROPN
ajst-8910	117	6	ii	ii	NUM
ajst-8910	118	1	ij	ij	INTJ
ajst-8910	118	2	ij	ij	INTJ
ajst-8910	119	1	i	i	PRON
ajst-8910	119	2	c	c	VERB
ajst-8910	120	1	i	i	PRON
ajst-8910	120	2	c	c	NOUN
ajst-8910	120	3	x	x	X
ajst-8910	121	1	k	k	NOUN
ajst-8910	121	2	x	x	X
ajst-8910	122	1	k	k	NOUN
ajst-8910	122	2	c	c	NOUN
ajst-8910	122	3	x	x	X
ajst-8910	123	1	k	k	NOUN
ajst-8910	123	2	c	c	NOUN
ajst-8910	123	3	x	x	X
ajst-8910	124	1	k	k	NOUN
ajst-8910	124	2	x	x	X
ajst-8910	124	3	k	k	NOUN
ajst-8910	124	4	c	c	NOUN
ajst-8910	124	5	x	x	X
ajst-8910	124	6	k	k	PROPN
ajst-8910	124	7	c	c	X
ajst-8910	124	8	(	(	PUNCT
ajst-8910	124	9	10	10	NUM
ajst-8910	124	10	)	)	PUNCT
ajst-8910	124	11	where	where	SCONJ
ajst-8910	124	12	ijc	ijc	PROPN
ajst-8910	124	13	is	be	AUX
ajst-8910	124	14	the	the	DET
ajst-8910	124	15	ith	ith	PROPN
ajst-8910	124	16	element	element	NOUN
ajst-8910	124	17	of	of	ADP
ajst-8910	124	18	the	the	DET
ajst-8910	124	19	jth	jth	PROPN
ajst-8910	124	20	column	column	NOUN
ajst-8910	124	21	of	of	ADP
ajst-8910	124	22	matrix	matrix	NOUN
ajst-8910	124	23	c	c	NOUN
ajst-8910	124	24	.	.	PUNCT
ajst-8910	125	1	in	in	ADP
ajst-8910	125	2	a	a	DET
ajst-8910	125	3	word	word	NOUN
ajst-8910	125	4	,	,	PUNCT
ajst-8910	125	5	cpca	cpca	NOUN
ajst-8910	125	6	performed	perform	VERB
ajst-8910	125	7	on	on	ADP
ajst-8910	125	8	interval	interval	NOUN
ajst-8910	125	9	input	input	NOUN
ajst-8910	125	10	data	datum	NOUN
ajst-8910	125	11	is	be	AUX
ajst-8910	125	12	based	base	VERB
ajst-8910	125	13	on	on	ADP
ajst-8910	125	14	a	a	DET
ajst-8910	125	15	numerical	numerical	ADJ
ajst-8910	125	16	centers	center	NOUN
ajst-8910	125	17	codification	codification	NOUN
ajst-8910	125	18	of	of	ADP
ajst-8910	125	19	the	the	DET
ajst-8910	125	20	data	datum	NOUN
ajst-8910	125	21	,	,	PUNCT
ajst-8910	125	22	a	a	DET
ajst-8910	125	23	treatment	treatment	NOUN
ajst-8910	125	24	with	with	ADP
ajst-8910	125	25	classical	classical	ADJ
ajst-8910	125	26	pca	pca	NOUN
ajst-8910	125	27	analysis	analysis	NOUN
ajst-8910	125	28	technique	technique	NOUN
ajst-8910	125	29	,	,	PUNCT
ajst-8910	125	30	and	and	CCONJ
ajst-8910	125	31	finally	finally	ADV
ajst-8910	125	32	a	a	DET
ajst-8910	125	33	transformation	transformation	NOUN
ajst-8910	125	34	of	of	ADP
ajst-8910	125	35	classical	classical	ADJ
ajst-8910	125	36	results	result	NOUN
ajst-8910	125	37	into	into	ADP
ajst-8910	125	38	interval	interval	NOUN
ajst-8910	125	39	description	description	NOUN
ajst-8910	125	40	.	.	PUNCT
ajst-8910	126	1	3	3	X
ajst-8910	126	2	.	.	X
ajst-8910	126	3	methodology	methodology	NOUN
ajst-8910	126	4	3.1	3.1	NUM
ajst-8910	126	5	.	.	PUNCT
ajst-8910	127	1	complete	complete	ADJ
ajst-8910	127	2	information	information	NOUN
ajst-8910	127	3	pca	pca	PROPN
ajst-8910	127	4	in	in	ADP
ajst-8910	127	5	order	order	NOUN
ajst-8910	127	6	to	to	PART
ajst-8910	127	7	seize	seize	VERB
ajst-8910	127	8	more	more	ADJ
ajst-8910	127	9	information	information	NOUN
ajst-8910	127	10	within	within	ADP
ajst-8910	127	11	interval	interval	NOUN
ajst-8910	127	12	observations	observation	NOUN
ajst-8910	127	13	,	,	PUNCT
ajst-8910	127	14	huiwen	huiwen	NOUN
ajst-8910	127	15	et	et	PROPN
ajst-8910	127	16	al	al	PROPN
ajst-8910	127	17	.	.	PROPN
ajst-8910	127	18	proposed	propose	VERB
ajst-8910	127	19	a	a	DET
ajst-8910	127	20	new	new	ADJ
ajst-8910	127	21	interval	interval	NOUN
ajst-8910	127	22	pca	pca	NOUN
ajst-8910	127	23	method	method	NOUN
ajst-8910	127	24	called	call	VERB
ajst-8910	127	25	complete	complete	ADJ
ajst-8910	127	26	information	information	NOUN
ajst-8910	127	27	based	base	VERB
ajst-8910	127	28	pca	pca	PROPN
ajst-8910	127	29	(	(	PUNCT
ajst-8910	127	30	cipca	cipca	PROPN
ajst-8910	127	31	)	)	PUNCT
ajst-8910	127	32	.	.	PUNCT
ajst-8910	128	1	by	by	ADP
ajst-8910	128	2	defining	define	VERB
ajst-8910	128	3	the	the	DET
ajst-8910	128	4	inner	inner	ADJ
ajst-8910	128	5	product	product	NOUN
ajst-8910	128	6	of	of	ADP
ajst-8910	128	7	hyper	hyper	NOUN
ajst-8910	128	8	-	-	NOUN
ajst-8910	128	9	cubes	cube	NOUN
ajst-8910	128	10	divided	divide	VERB
ajst-8910	128	11	into	into	ADP
ajst-8910	128	12	informative	informative	ADJ
ajst-8910	128	13	grid	grid	NOUN
ajst-8910	128	14	data	datum	NOUN
ajst-8910	128	15	,	,	PUNCT
ajst-8910	128	16	and	and	CCONJ
ajst-8910	128	17	based	base	VERB
ajst-8910	128	18	on	on	ADP
ajst-8910	128	19	a	a	DET
ajst-8910	128	20	rather	rather	ADV
ajst-8910	128	21	analytic	analytic	ADJ
ajst-8910	128	22	approach	approach	NOUN
ajst-8910	128	23	,	,	PUNCT
ajst-8910	128	24	cipca	cipca	PROPN
ajst-8910	128	25	accomplishes	accomplish	VERB
ajst-8910	128	26	the	the	DET
ajst-8910	128	27	derivation	derivation	NOUN
ajst-8910	128	28	of	of	ADP
ajst-8910	128	29	interval	interval	NOUN
ajst-8910	128	30	-	-	PUNCT
ajst-8910	128	31	valued	value	VERB
ajst-8910	128	32	principal	principal	ADJ
ajst-8910	128	33	components	component	NOUN
ajst-8910	128	34	and	and	CCONJ
ajst-8910	128	35	transforms	transform	VERB
ajst-8910	128	36	pca	pca	NOUN
ajst-8910	128	37	modeling	modeling	NOUN
ajst-8910	128	38	into	into	ADP
ajst-8910	128	39	the	the	DET
ajst-8910	128	40	computation	computation	NOUN
ajst-8910	128	41	of	of	ADP
ajst-8910	128	42	some	some	DET
ajst-8910	128	43	inner	inner	ADJ
ajst-8910	128	44	products	product	NOUN
ajst-8910	128	45	.	.	PUNCT
ajst-8910	129	1	thus	thus	ADV
ajst-8910	129	2	,	,	PUNCT
ajst-8910	129	3	leading	lead	VERB
ajst-8910	129	4	to	to	ADP
ajst-8910	129	5	more	more	ADV
ajst-8910	129	6	accurate	accurate	ADJ
ajst-8910	129	7	results	result	NOUN
ajst-8910	129	8	and	and	CCONJ
ajst-8910	129	9	providing	provide	VERB
ajst-8910	129	10	an	an	DET
ajst-8910	129	11	efficient	efficient	ADJ
ajst-8910	129	12	and	and	CCONJ
ajst-8910	129	13	effective	effective	ADJ
ajst-8910	129	14	way	way	NOUN
ajst-8910	129	15	for	for	ADP
ajst-8910	129	16	conducting	conduct	VERB
ajst-8910	129	17	pca	pca	NOUN
ajst-8910	129	18	on	on	ADP
ajst-8910	129	19	large	large	ADJ
ajst-8910	129	20	-	-	PUNCT
ajst-8910	129	21	scaled	scale	VERB
ajst-8910	129	22	interval	interval	NOUN
ajst-8910	129	23	data	datum	NOUN
ajst-8910	129	24	.	.	PUNCT
ajst-8910	130	1	according	accord	VERB
ajst-8910	130	2	to	to	ADP
ajst-8910	130	3	cipca	cipca	PROPN
ajst-8910	130	4	,	,	PUNCT
ajst-8910	130	5	given	give	VERB
ajst-8910	130	6	any	any	DET
ajst-8910	130	7	two	two	NUM
ajst-8910	130	8	interval	interval	NOUN
ajst-8910	130	9	-	-	PUNCT
ajst-8910	130	10	valued	value	VERB
ajst-8910	130	11	variables	variable	NOUN
ajst-8910	130	12	jx	jx	PROPN
ajst-8910	130	13	and	and	CCONJ
ajst-8910	130	14	j	j	PROPN
ajst-8910	130	15	x	x	X
ajst-8910	130	16	,	,	PUNCT
ajst-8910	130	17	the	the	DET
ajst-8910	130	18	inner	inner	ADJ
ajst-8910	130	19	product	product	NOUN
ajst-8910	130	20	is	be	AUX
ajst-8910	130	21	defined	define	VERB
ajst-8910	130	22	as	as	ADP
ajst-8910	130	23	'	'	PUNCT
ajst-8910	130	24	''	''	PUNCT
ajst-8910	130	25	1	1	NUM
ajst-8910	130	26	,	,	PUNCT
ajst-8910	130	27	4	4	NUM
ajst-8910	130	28	j	j	NOUN
ajst-8910	130	29	jj	jj	PROPN
ajst-8910	130	30	j	j	PROPN
ajst-8910	130	31	jj	jj	PROPN
ajst-8910	130	32	x	x	PROPN
ajst-8910	130	33	x	x	PUNCT
ajst-8910	130	34	x	x	PUNCT
ajst-8910	130	35	k	k	NOUN
ajst-8910	130	36	x	x	SYM
ajst-8910	130	37	k	k	NOUN
ajst-8910	130	38	x	x	SYM
ajst-8910	130	39	k	k	NOUN
ajst-8910	130	40	x	x	SYM
ajst-8910	130	41	k	k	X
ajst-8910	130	42	(	(	PUNCT
ajst-8910	130	43	11	11	NUM
ajst-8910	130	44	)	)	PUNCT
ajst-8910	130	45	based	base	VERB
ajst-8910	130	46	on	on	ADP
ajst-8910	130	47	the	the	DET
ajst-8910	130	48	above	above	ADJ
ajst-8910	130	49	definitions	definition	NOUN
ajst-8910	130	50	of	of	ADP
ajst-8910	130	51	interval	interval	NOUN
ajst-8910	130	52	norm	norm	NOUN
ajst-8910	130	53	and	and	CCONJ
ajst-8910	130	54	inner	inner	ADJ
ajst-8910	130	55	product	product	NOUN
ajst-8910	130	56	,	,	PUNCT
ajst-8910	130	57	and	and	CCONJ
ajst-8910	130	58	with	with	ADP
ajst-8910	130	59	all	all	DET
ajst-8910	130	60	data	datum	NOUN
ajst-8910	130	61	units	unit	NOUN
ajst-8910	130	62	pre	pre	ADJ
ajst-8910	130	63	-	-	VERB
ajst-8910	130	64	processed	process	VERB
ajst-8910	130	65	,	,	PUNCT
ajst-8910	130	66	the	the	DET
ajst-8910	130	67	covariance	covariance	NOUN
ajst-8910	130	68	matrix	matrix	NOUN
ajst-8910	130	69	of	of	ADP
ajst-8910	130	70	n	n	DET
ajst-8910	130	71	mx	mx	PROPN
ajst-8910	130	72	is	be	AUX
ajst-8910	130	73	given	give	VERB
ajst-8910	130	74	by	by	ADP
ajst-8910	130	75	1	1	NUM
ajst-8910	130	76	1	1	NUM
ajst-8910	130	77	1	1	NUM
ajst-8910	130	78	2	2	NUM
ajst-8910	130	79	1	1	NUM
ajst-8910	130	80	2	2	NUM
ajst-8910	130	81	1	1	NUM
ajst-8910	130	82	2	2	NUM
ajst-8910	130	83	2	2	NUM
ajst-8910	130	84	2	2	NUM
ajst-8910	130	85	1	1	NUM
ajst-8910	130	86	2	2	NUM
ajst-8910	130	87	,	,	PUNCT
ajst-8910	130	88	,	,	PUNCT
ajst-8910	130	89	,	,	PUNCT
ajst-8910	130	90	,	,	PUNCT
ajst-8910	130	91	,	,	PUNCT
ajst-8910	130	92	,	,	PUNCT
ajst-8910	130	93	1	1	NUM
ajst-8910	130	94	,	,	PUNCT
ajst-8910	130	95	,	,	PUNCT
ajst-8910	130	96	,	,	PUNCT
ajst-8910	130	97	m	m	VERB
ajst-8910	130	98	m	m	VERB
ajst-8910	130	99	m	m	VERB
ajst-8910	130	100	m	m	VERB
ajst-8910	130	101	m	m	VERB
ajst-8910	130	102	m	m	VERB
ajst-8910	130	103	x	x	X
ajst-8910	130	104	x	x	PUNCT
ajst-8910	130	105	x	x	PUNCT
ajst-8910	130	106	x	x	PUNCT
ajst-8910	130	107	x	x	PUNCT
ajst-8910	130	108	x	x	PUNCT
ajst-8910	130	109	x	x	PUNCT
ajst-8910	130	110	x	x	PUNCT
ajst-8910	130	111	x	x	PUNCT
ajst-8910	130	112	x	x	PUNCT
ajst-8910	130	113	x	x	PUNCT
ajst-8910	130	114	x	x	SYM
ajst-8910	130	115	n	n	NOUN
ajst-8910	130	116	x	x	SYM
ajst-8910	130	117	x	x	PUNCT
ajst-8910	130	118	x	x	PUNCT
ajst-8910	130	119	x	x	SYM
ajst-8910	130	120	x	x	PUNCT
ajst-8910	130	121	x	x	PUNCT
ajst-8910	130	122	x111111	x111111	NOUN
ajst-8910	130	123	2x	2x	NUM
ajst-8910	130	124	22222	22222	NUM
ajst-8910	130	125	xmxx	xmxx	X
ajst-8910	130	126	(	(	PUNCT
ajst-8910	130	127	12	12	NUM
ajst-8910	130	128	)	)	PUNCT
ajst-8910	130	129	the	the	DET
ajst-8910	130	130	cipca	cipca	NOUN
ajst-8910	130	131	method	method	NOUN
ajst-8910	130	132	for	for	ADP
ajst-8910	130	133	interval	interval	NOUN
ajst-8910	130	134	-	-	PUNCT
ajst-8910	130	135	valued	value	VERB
ajst-8910	130	136	data	datum	NOUN
ajst-8910	130	137	can	can	AUX
ajst-8910	130	138	be	be	AUX
ajst-8910	130	139	summarized	summarize	VERB
ajst-8910	130	140	in	in	ADP
ajst-8910	130	141	the	the	DET
ajst-8910	130	142	following	follow	VERB
ajst-8910	130	143	steps	step	NOUN
ajst-8910	130	144	:	:	PUNCT
ajst-8910	130	145	•	•	NUM
ajst-8910	130	146	step	step	NOUN
ajst-8910	130	147	1	1	NUM
ajst-8910	130	148	:	:	PUNCT
ajst-8910	130	149	compute	compute	VERB
ajst-8910	130	150	the	the	DET
ajst-8910	130	151	covariance	covariance	NOUN
ajst-8910	130	152	matrix	matrix	NOUN
ajst-8910	130	153	of	of	ADP
ajst-8910	130	154	the	the	DET
ajst-8910	130	155	interval	interval	NOUN
ajst-8910	130	156	data	datum	NOUN
ajst-8910	130	157	matrix	matrix	NOUN
ajst-8910	130	158	x	x	NOUN
ajst-8910	130	159	using	use	VERB
ajst-8910	130	160	(	(	PUNCT
ajst-8910	130	161	12	12	NUM
ajst-8910	130	162	)	)	PUNCT
ajst-8910	130	163	.	.	PUNCT
ajst-8910	131	1	•	•	NUM
ajst-8910	131	2	step	step	NOUN
ajst-8910	131	3	2	2	NUM
ajst-8910	131	4	:	:	PUNCT
ajst-8910	131	5	perform	perform	VERB
ajst-8910	131	6	an	an	DET
ajst-8910	131	7	eigen	eigen	NOUN
ajst-8910	131	8	-	-	PUNCT
ajst-8910	131	9	decomposition	decomposition	NOUN
ajst-8910	131	10	of	of	ADP
ajst-8910	131	11	the	the	DET
ajst-8910	131	12	covariance	covariance	NOUN
ajst-8910	131	13	matrix	matrix	NOUN
ajst-8910	131	14	,	,	PUNCT
ajst-8910	131	15	where	where	SCONJ
ajst-8910	131	16	1	1	NUM
ajst-8910	131	17	2	2	NUM
ajst-8910	131	18	,	,	PUNCT
ajst-8910	131	19	,	,	PUNCT
ajst-8910	131	20	,	,	PUNCT
ajst-8910	131	21	m	m	PROPN
ajst-8910	131	22	,	,	PUNCT
ajst-8910	131	23	m	m	PROPN
ajst-8910	131	24	,	,	PUNCT
ajst-8910	131	25	and	and	CCONJ
ajst-8910	131	26	1	1	NUM
ajst-8910	131	27	2	2	NUM
ajst-8910	131	28	,	,	PUNCT
ajst-8910	131	29	,	,	PUNCT
ajst-8910	131	30	,	,	PUNCT
ajst-8910	131	31	mp	mp	PROPN
ajst-8910	131	32	p	p	PROPN
ajst-8910	131	33	pmp	pmp	PROPN
ajst-8910	131	34	,	,	PUNCT
ajst-8910	131	35	are	be	AUX
ajst-8910	131	36	the	the	DET
ajst-8910	131	37	resulting	result	VERB
ajst-8910	131	38	eigenvalues	eigenvalue	NOUN
ajst-8910	131	39	and	and	CCONJ
ajst-8910	131	40	eigenvectors	eigenvector	NOUN
ajst-8910	131	41	respectively	respectively	ADV
ajst-8910	131	42	.	.	PUNCT
ajst-8910	132	1	•	•	NUM
ajst-8910	132	2	step	step	NOUN
ajst-8910	132	3	3	3	NUM
ajst-8910	132	4	:	:	PUNCT
ajst-8910	132	5	calculate	calculate	VERB
ajst-8910	132	6	the	the	DET
ajst-8910	132	7	interval	interval	NOUN
ajst-8910	132	8	principal	principal	ADJ
ajst-8910	132	9	components	component	NOUN
ajst-8910	132	10	using	use	VERB
ajst-8910	132	11	the	the	DET
ajst-8910	132	12	following	follow	VERB
ajst-8910	132	13	formulas	formula	NOUN
ajst-8910	132	14	1	1	NUM
ajst-8910	132	15	1	1	NUM
ajst-8910	132	16	1	1	NUM
ajst-8910	132	17	1	1	NUM
ajst-8910	132	18	m	m	NOUN
ajst-8910	132	19	ij	ij	INTJ
ajst-8910	133	1	ij	ij	INTJ
ajst-8910	134	1	i	i	PRON
ajst-8910	135	1	i	i	PRON
ajst-8910	135	2	m	m	VERB
ajst-8910	135	3	j	j	NOUN
ajst-8910	136	1	iij	iij	INTJ
ajst-8910	136	2	i	i	PRON
ajst-8910	137	1	i	i	PRON
ajst-8910	137	2	t	t	VERB
ajst-8910	138	1	k	k	X
ajst-8910	139	1	p	p	X
ajst-8910	139	2	x	x	X
ajst-8910	139	3	k	k	NOUN
ajst-8910	139	4	x	x	X
ajst-8910	140	1	k	k	PROPN
ajst-8910	140	2	t	t	X
ajst-8910	141	1	k	k	NOUN
ajst-8910	142	1	p	p	X
ajst-8910	142	2	x	x	X
ajst-8910	142	3	k	k	NOUN
ajst-8910	142	4	x	x	SYM
ajst-8910	142	5	k	k	X
ajst-8910	142	6	(	(	PUNCT
ajst-8910	142	7	13	13	NUM
ajst-8910	142	8	)	)	PUNCT
ajst-8910	142	9	with	with	ADP
ajst-8910	142	10	0	0	NUM
ajst-8910	142	11	,	,	PUNCT
ajst-8910	142	12	0	0	NUM
ajst-8910	142	13	1	1	NUM
ajst-8910	142	14	,	,	PUNCT
ajst-8910	142	15	0	0	NUM
ajst-8910	143	1	ij	ij	NOUN
ajst-8910	144	1	ij	ij	INTJ
ajst-8910	145	1	p	p	X
ajst-8910	145	2	p	p	ADJ
ajst-8910	145	3	step	step	NOUN
ajst-8910	145	4	4	4	NUM
ajst-8910	145	5	:	:	PUNCT
ajst-8910	145	6	compute	compute	VERB
ajst-8910	145	7	the	the	DET
ajst-8910	145	8	interval	interval	NOUN
ajst-8910	145	9	estimates	estimate	NOUN
ajst-8910	145	10	from	from	ADP
ajst-8910	145	11	cipca	cipca	PROPN
ajst-8910	145	12	model	model	PROPN
ajst-8910	145	13	as	as	ADP
ajst-8910	145	14	:	:	PUNCT
ajst-8910	145	15	1	1	NUM
ajst-8910	145	16	1	1	NUM
ajst-8910	145	17	1	1	NUM
ajst-8910	145	18	1	1	NUM
ajst-8910	145	19	m	m	NOUN
ajst-8910	145	20	qj	qj	PROPN
ajst-8910	145	21	lqj	lqj	NOUN
ajst-8910	145	22	q	q	PROPN
ajst-8910	145	23	q	q	PROPN
ajst-8910	145	24	m	m	VERB
ajst-8910	145	25	j	j	PROPN
ajst-8910	145	26	qlqj	qlqj	NOUN
ajst-8910	145	27	q	q	PROPN
ajst-8910	145	28	q	q	NOUN
ajst-8910	145	29	x	x	X
ajst-8910	146	1	k	k	NOUN
ajst-8910	146	2	c	c	NOUN
ajst-8910	146	3	x	x	X
ajst-8910	147	1	k	k	NOUN
ajst-8910	147	2	x	x	SYM
ajst-8910	147	3	k	k	NOUN
ajst-8910	147	4	x	x	X
ajst-8910	148	1	k	k	NOUN
ajst-8910	148	2	c	c	NOUN
ajst-8910	148	3	x	x	X
ajst-8910	148	4	k	k	NOUN
ajst-8910	148	5	x	x	SYM
ajst-8910	148	6	k	k	X
ajst-8910	148	7	(	(	PUNCT
ajst-8910	148	8	14	14	NUM
ajst-8910	148	9	)	)	PUNCT
ajst-8910	148	10	with	with	ADP
ajst-8910	148	11	the	the	DET
ajst-8910	148	12	same	same	ADJ
ajst-8910	148	13	condition	condition	NOUN
ajst-8910	148	14	on	on	ADP
ajst-8910	148	15	,	,	PUNCT
ajst-8910	148	16	and	and	CCONJ
ajst-8910	148	17	given	give	VERB
ajst-8910	148	18	that	that	DET
ajst-8910	148	19	t	t	NOUN
ajst-8910	148	20	l	l	NOUN
ajst-8910	148	21	l	l	NOUN
ajst-8910	148	22	lc	lc	NOUN
ajst-8910	149	1	pp	pp	ADV
ajst-8910	149	2	.	.	PUNCT
ajst-8910	150	1	based	base	VERB
ajst-8910	150	2	on	on	ADP
ajst-8910	150	3	the	the	DET
ajst-8910	150	4	interval	interval	NOUN
ajst-8910	150	5	arithmetic	arithmetic	ADJ
ajst-8910	150	6	,	,	PUNCT
ajst-8910	150	7	the	the	DET
ajst-8910	150	8	estimated	estimate	VERB
ajst-8910	150	9	error	error	NOUN
ajst-8910	150	10	between	between	ADP
ajst-8910	150	11	the	the	DET
ajst-8910	150	12	estimated	estimate	VERB
ajst-8910	150	13	values	value	NOUN
ajst-8910	150	14	and	and	CCONJ
ajst-8910	150	15	the	the	DET
ajst-8910	150	16	process	process	NOUN
ajst-8910	150	17	data	datum	NOUN
ajst-8910	150	18	,	,	PUNCT
ajst-8910	150	19	ˆ	ˆ	NOUN
ajst-8910	150	20	ˆ	ˆ	ADV
ajst-8910	150	21	ij	ij	NOUN
ajst-8910	150	22	ij	ij	INTJ
ajst-8910	150	23	ij	ij	INTJ
ajst-8910	150	24	ij	ij	INTJ
ajst-8910	150	25	ij	ij	INTJ
ajst-8910	150	26	ij	ij	INTJ
ajst-8910	150	27	e	e	X
ajst-8910	150	28	x	x	PUNCT
ajst-8910	150	29	x	x	PUNCT
ajst-8910	150	30	e	e	NOUN
ajst-8910	150	31	x	x	SYM
ajst-8910	150	32	x	x	X
ajst-8910	150	33	(	(	PUNCT
ajst-8910	150	34	15	15	NUM
ajst-8910	150	35	)	)	PUNCT
ajst-8910	150	36	3.2	3.2	NUM
ajst-8910	150	37	.	.	PUNCT
ajst-8910	151	1	off	off	ADP
ajst-8910	151	2	-	-	PUNCT
ajst-8910	151	3	line	line	NOUN
ajst-8910	151	4	model	model	NOUN
ajst-8910	151	5	building	building	NOUN
ajst-8910	151	6	based	base	VERB
ajst-8910	151	7	on	on	ADP
ajst-8910	151	8	cipca	cipca	PROPN
ajst-8910	151	9	the	the	DET
ajst-8910	151	10	cipca	cipca	PROPN
ajst-8910	151	11	method	method	NOUN
ajst-8910	151	12	is	be	AUX
ajst-8910	151	13	to	to	PART
ajst-8910	151	14	perform	perform	VERB
ajst-8910	151	15	interval	interval	NOUN
ajst-8910	151	16	pca	pca	NOUN
ajst-8910	151	17	on	on	ADP
ajst-8910	151	18	the	the	DET
ajst-8910	151	19	principle	principle	ADJ
ajst-8910	151	20	space	space	NOUN
ajst-8910	151	21	and	and	CCONJ
ajst-8910	151	22	the	the	DET
ajst-8910	151	23	residual	residual	ADJ
ajst-8910	151	24	space	space	NOUN
ajst-8910	151	25	.	.	PUNCT
ajst-8910	152	1	the	the	DET
ajst-8910	152	2	establishment	establishment	NOUN
ajst-8910	152	3	steps	step	NOUN
ajst-8910	152	4	of	of	ADP
ajst-8910	152	5	modeling	modeling	NOUN
ajst-8910	152	6	are	be	AUX
ajst-8910	152	7	as	as	ADV
ajst-8910	152	8	follow	follow	NOUN
ajst-8910	152	9	,	,	PUNCT
ajst-8910	152	10	step	step	NOUN
ajst-8910	152	11	1	1	NUM
ajst-8910	152	12	:	:	PUNCT
ajst-8910	152	13	convert	convert	VERB
ajst-8910	152	14	the	the	DET
ajst-8910	152	15	collected	collect	VERB
ajst-8910	152	16	imprecision	imprecision	NOUN
ajst-8910	152	17	data	datum	NOUN
ajst-8910	152	18	n	n	PROPN
ajst-8910	152	19	mx	mx	PROPN
ajst-8910	152	20	n	n	ADV
ajst-8910	152	21	m	m	VERB
ajst-8910	152	22	into	into	ADP
ajst-8910	152	23	interval	interval	NOUN
ajst-8910	152	24	form	form	NOUN
ajst-8910	152	25	,	,	PUNCT
ajst-8910	152	26	[	[	PUNCT
ajst-8910	152	27	]	]	X
ajst-8910	152	28	[	[	PUNCT
ajst-8910	152	29	,	,	PUNCT
ajst-8910	152	30	]	]	X
ajst-8910	152	31	n	n	CCONJ
ajst-8910	152	32	mn	mn	PROPN
ajst-8910	152	33	m	m	PROPN
ajst-8910	152	34	n	n	PROPN
ajst-8910	152	35	mx	mx	NOUN
ajst-8910	152	36	x	x	SYM
ajst-8910	152	37	x	x	X
ajst-8910	152	38	(	(	PUNCT
ajst-8910	152	39	16	16	NUM
ajst-8910	152	40	)	)	PUNCT
ajst-8910	152	41	step	step	NOUN
ajst-8910	152	42	2	2	NUM
ajst-8910	152	43	:	:	PUNCT
ajst-8910	152	44	standardize	standardize	VERB
ajst-8910	152	45	the	the	DET
ajst-8910	152	46	interval	interval	NOUN
ajst-8910	152	47	value	value	NOUN
ajst-8910	152	48	data	datum	NOUN
ajst-8910	152	49	,	,	PUNCT
ajst-8910	152	50	106	106	NUM
ajst-8910	152	51	[	[	PUNCT
ajst-8910	152	52	]	]	X
ajst-8910	152	53	(	(	PUNCT
ajst-8910	152	54	[	[	PUNCT
ajst-8910	152	55	]	]	X
ajst-8910	152	56	)	)	PUNCT
ajst-8910	152	57	(	(	PUNCT
ajst-8910	152	58	[	[	PUNCT
ajst-8910	152	59	]	]	X
ajst-8910	152	60	)	)	PUNCT
ajst-8910	152	61	(	(	PUNCT
ajst-8910	152	62	[	[	PUNCT
ajst-8910	152	63	]	]	X
ajst-8910	152	64	)	)	PUNCT
ajst-8910	152	65	,	,	PUNCT
ajst-8910	152	66	(	(	PUNCT
ajst-8910	152	67	[	[	PUNCT
ajst-8910	152	68	]	]	X
ajst-8910	152	69	)	)	PUNCT
ajst-8910	152	70	(	(	PUNCT
ajst-8910	152	71	[	[	PUNCT
ajst-8910	152	72	]	]	X
ajst-8910	152	73	)	)	PUNCT
ajst-8910	152	74	(	(	PUNCT
ajst-8910	152	75	[	[	PUNCT
ajst-8910	152	76	]	]	X
ajst-8910	152	77	)	)	PUNCT
ajst-8910	152	78	n	n	PRON
ajst-8910	152	79	m	m	VERB
ajst-8910	152	80	j	j	NOUN
ajst-8910	152	81	n	n	CCONJ
ajst-8910	152	82	m	m	PROPN
ajst-8910	152	83	j	j	PROPN
ajst-8910	152	84	n	n	CCONJ
ajst-8910	152	85	m	m	PROPN
ajst-8910	152	86	j	j	PROPN
ajst-8910	153	1	j	j	PROPN
ajst-8910	153	2	j	j	PROPN
ajst-8910	153	3	j	j	PROPN
ajst-8910	153	4	x	x	X
ajst-8910	153	5	e	e	NOUN
ajst-8910	153	6	x	x	X
ajst-8910	153	7	e	e	NOUN
ajst-8910	153	8	x	x	X
ajst-8910	153	9	e	e	NOUN
ajst-8910	153	10	d	d	PROPN
ajst-8910	153	11	d	d	X
ajst-8910	153	12	d	d	X
ajst-8910	153	13	x	x	X
ajst-8910	153	14	x	x	PUNCT
ajst-8910	153	15	x	x	PUNCT
ajst-8910	153	16	x	x	PUNCT
ajst-8910	153	17	x	x	SYM
ajst-8910	153	18	x	x	SYM
ajst-8910	153	19	(	(	PUNCT
ajst-8910	153	20	17	17	NUM
ajst-8910	153	21	)	)	PUNCT
ajst-8910	153	22	step	step	NOUN
ajst-8910	153	23	3	3	NUM
ajst-8910	153	24	:	:	PUNCT
ajst-8910	153	25	perform	perform	VERB
ajst-8910	153	26	cipca	cipca	PROPN
ajst-8910	153	27	introduced	introduce	VERB
ajst-8910	153	28	in	in	ADP
ajst-8910	153	29	section	section	NOUN
ajst-8910	153	30	a	a	PRON
ajst-8910	153	31	on	on	ADP
ajst-8910	153	32	the	the	DET
ajst-8910	153	33	standardize	standardize	NOUN
ajst-8910	153	34	matrix	matrix	NOUN
ajst-8910	153	35	[	[	PUNCT
ajst-8910	153	36	]	]	X
ajst-8910	153	37	n	n	X
ajst-8910	153	38	mx	mx	NOUN
ajst-8910	153	39	.	.	PUNCT
ajst-8910	154	1	step	step	VERB
ajst-8910	154	2	4	4	NUM
ajst-8910	154	3	:	:	PUNCT
ajst-8910	154	4	two	two	NUM
ajst-8910	154	5	monitoring	monitoring	NOUN
ajst-8910	154	6	statistics	statistic	NOUN
ajst-8910	154	7	can	can	AUX
ajst-8910	154	8	be	be	AUX
ajst-8910	154	9	obtained	obtain	VERB
ajst-8910	154	10	,	,	PUNCT
ajst-8910	154	11	which	which	PRON
ajst-8910	154	12	are	be	AUX
ajst-8910	154	13	denoted	denote	VERB
ajst-8910	154	14	as	as	ADP
ajst-8910	154	15	statistics	statistic	NOUN
ajst-8910	154	16	and	and	CCONJ
ajst-8910	154	17	statistics	statistic	NOUN
ajst-8910	154	18	respectively	respectively	ADV
ajst-8910	154	19	.	.	PUNCT
ajst-8910	155	1	the	the	DET
ajst-8910	155	2	specific	specific	ADJ
ajst-8910	155	3	calculation	calculation	NOUN
ajst-8910	155	4	formula	formula	NOUN
ajst-8910	155	5	is	be	AUX
ajst-8910	155	6	as	as	SCONJ
ajst-8910	155	7	follows	follow	VERB
ajst-8910	155	8	2	2	NUM
ajst-8910	155	9	,	,	PUNCT
ajst-8910	155	10	:	:	PUNCT
ajst-8910	155	11	2	2	NUM
ajst-8910	155	12	1	1	NUM
ajst-8910	155	13	2	2	NUM
ajst-8910	155	14	,	,	PUNCT
ajst-8910	155	15	[	[	PUNCT
ajst-8910	155	16	]	]	X
ajst-8910	155	17	i	i	PRON
ajst-8910	156	1	i	i	NOUN
ajst-8910	156	2	ci	ci	VERB
ajst-8910	156	3	l	l	NOUN
ajst-8910	157	1	it	it	PRON
ajst-8910	157	2	t	t	X
ajst-8910	157	3	(	(	PUNCT
ajst-8910	157	4	18	18	NUM
ajst-8910	157	5	)	)	PUNCT
ajst-8910	157	6	2	2	NUM
ajst-8910	157	7	2	2	NUM
ajst-8910	157	8	,	,	PUNCT
ajst-8910	157	9	:	:	PUNCT
ajst-8910	157	10	1	1	NUM
ajst-8910	157	11	[	[	PUNCT
ajst-8910	157	12	]	]	X
ajst-8910	157	13	e	e	X
ajst-8910	157	14	m	m	VERB
ajst-8910	157	15	i	i	INTJ
ajst-8910	158	1	i	i	PRON
ajst-8910	159	1	ij	ij	INTJ
ajst-8910	159	2	j	j	PROPN
ajst-8910	159	3	ispe	ispe	PROPN
ajst-8910	159	4	e	e	PROPN
ajst-8910	159	5	(	(	PUNCT
ajst-8910	159	6	19	19	NUM
ajst-8910	159	7	)	)	PUNCT
ajst-8910	159	8	where	where	SCONJ
ajst-8910	159	9	1	1	NUM
ajst-8910	159	10	2	2	NUM
ajst-8910	159	11	(	(	PUNCT
ajst-8910	159	12	,	,	PUNCT
ajst-8910	159	13	,	,	PUNCT
ajst-8910	159	14	)	)	PUNCT
ajst-8910	159	15	ldiag	ldiag	NOUN
ajst-8910	159	16	)	)	PUNCT
ajst-8910	159	17	l	l	NOUN
ajst-8910	159	18	is	be	AUX
ajst-8910	159	19	the	the	DET
ajst-8910	159	20	diagonal	diagonal	ADJ
ajst-8910	159	21	matrix	matrix	NOUN
ajst-8910	159	22	with	with	ADP
ajst-8910	159	23	the	the	DET
ajst-8910	159	24	principle	principle	ADJ
ajst-8910	159	25	components	component	NOUN
ajst-8910	159	26	eigenvalues	eigenvalue	VERB
ajst-8910	159	27	as	as	ADP
ajst-8910	159	28	diagonal	diagonal	ADJ
ajst-8910	159	29	elements	element	NOUN
ajst-8910	159	30	.	.	PUNCT
ajst-8910	160	1	step	step	NOUN
ajst-8910	160	2	5	5	NUM
ajst-8910	160	3	:	:	PUNCT
ajst-8910	160	4	after	after	SCONJ
ajst-8910	160	5	all	all	DET
ajst-8910	160	6	the	the	DET
ajst-8910	160	7	off	off	ADP
ajst-8910	160	8	-	-	PUNCT
ajst-8910	160	9	line	line	NOUN
ajst-8910	160	10	monitoring	monitoring	NOUN
ajst-8910	160	11	statistics	statistic	NOUN
ajst-8910	160	12	of	of	ADP
ajst-8910	160	13	modeling	model	VERB
ajst-8910	160	14	samples	sample	NOUN
ajst-8910	160	15	are	be	AUX
ajst-8910	160	16	calculated	calculate	VERB
ajst-8910	160	17	,	,	PUNCT
ajst-8910	160	18	kernel	kernel	PROPN
ajst-8910	160	19	density	density	PROPN
ajst-8910	160	20	estimation	estimation	NOUN
ajst-8910	160	21	method	method	NOUN
ajst-8910	160	22	can	can	AUX
ajst-8910	160	23	be	be	AUX
ajst-8910	160	24	used	use	VERB
ajst-8910	160	25	to	to	PART
ajst-8910	160	26	obtain	obtain	VERB
ajst-8910	160	27	the	the	DET
ajst-8910	160	28	control	control	NOUN
ajst-8910	160	29	limit	limit	NOUN
ajst-8910	160	30	.	.	PUNCT
ajst-8910	161	1	3.3	3.3	NUM
ajst-8910	161	2	.	.	PUNCT
ajst-8910	162	1	on	on	ADP
ajst-8910	162	2	-	-	PUNCT
ajst-8910	162	3	line	line	NOUN
ajst-8910	162	4	fault	fault	NOUN
ajst-8910	162	5	detection	detection	NOUN
ajst-8910	162	6	based	base	VERB
ajst-8910	162	7	on	on	ADP
ajst-8910	162	8	cipca	cipca	NOUN
ajst-8910	162	9	the	the	DET
ajst-8910	162	10	online	online	ADJ
ajst-8910	162	11	detection	detection	NOUN
ajst-8910	162	12	steps	step	NOUN
ajst-8910	162	13	of	of	ADP
ajst-8910	162	14	cipca	cipca	NOUN
ajst-8910	162	15	method	method	NOUN
ajst-8910	162	16	can	can	AUX
ajst-8910	162	17	be	be	AUX
ajst-8910	162	18	expressed	express	VERB
ajst-8910	162	19	as	as	ADP
ajst-8910	162	20	,	,	PUNCT
ajst-8910	162	21	step	step	NOUN
ajst-8910	162	22	1	1	NUM
ajst-8910	162	23	:	:	PUNCT
ajst-8910	162	24	convert	convert	VERB
ajst-8910	162	25	the	the	DET
ajst-8910	162	26	online	online	ADJ
ajst-8910	162	27	testin	testin	PROPN
ajst-8910	162	28	imprecision	imprecision	NOUN
ajst-8910	162	29	data	datum	NOUN
ajst-8910	162	30	1	1	NUM
ajst-8910	162	31	m	m	NOUN
ajst-8910	162	32	newx	newx	NOUN
ajst-8910	162	33	1	1	NUM
ajst-8910	162	34	m	m	NOUN
ajst-8910	162	35	into	into	ADP
ajst-8910	162	36	interval	interval	NOUN
ajst-8910	162	37	form	form	NOUN
ajst-8910	162	38	,	,	PUNCT
ajst-8910	162	39	,	,	PUNCT
ajst-8910	162	40	,	,	PUNCT
ajst-8910	162	41	,	,	PUNCT
ajst-8910	162	42	[	[	PUNCT
ajst-8910	162	43	]	]	X
ajst-8910	162	44	[	[	PUNCT
ajst-8910	162	45	,	,	PUNCT
ajst-8910	162	46	]	]	X
ajst-8910	162	47	j	j	PROPN
ajst-8910	162	48	newj	newj	VERB
ajst-8910	162	49	new	new	PROPN
ajst-8910	162	50	j	j	PROPN
ajst-8910	162	51	newx	newx	PROPN
ajst-8910	162	52	x	x	PROPN
ajst-8910	163	1	x	x	X
ajst-8910	163	2	.	.	PUNCT
ajst-8910	163	3	step	step	NOUN
ajst-8910	163	4	2	2	NUM
ajst-8910	163	5	:	:	PUNCT
ajst-8910	163	6	standardize	standardize	VERB
ajst-8910	163	7	the	the	DET
ajst-8910	163	8	interval	interval	NOUN
ajst-8910	163	9	value	value	NOUN
ajst-8910	163	10	data	datum	NOUN
ajst-8910	163	11	with	with	ADP
ajst-8910	163	12	equ(17	equ(17	PROPN
ajst-8910	163	13	)	)	PUNCT
ajst-8910	163	14	.	.	PUNCT
ajst-8910	164	1	step	step	NOUN
ajst-8910	164	2	3	3	NUM
ajst-8910	164	3	:	:	PUNCT
ajst-8910	164	4	perform	perform	VERB
ajst-8910	164	5	cipca	cipca	PROPN
ajst-8910	164	6	introduced	introduce	VERB
ajst-8910	164	7	in	in	ADP
ajst-8910	164	8	section	section	NOUN
ajst-8910	164	9	a	a	PRON
ajst-8910	164	10	on	on	ADP
ajst-8910	164	11	the	the	DET
ajst-8910	164	12	standardize	standardize	NOUN
ajst-8910	164	13	sample	sample	NOUN
ajst-8910	164	14	,	,	PUNCT
ajst-8910	164	15	[	[	PUNCT
ajst-8910	164	16	]	]	X
ajst-8910	164	17	j	j	PROPN
ajst-8910	164	18	newx	newx	PROPN
ajst-8910	164	19	.	.	PUNCT
ajst-8910	165	1	step	step	VERB
ajst-8910	165	2	4	4	NUM
ajst-8910	165	3	:	:	SYM
ajst-8910	165	4	2	2	NUM
ajst-8910	165	5	iit	iit	NOUN
ajst-8910	165	6	and	and	CCONJ
ajst-8910	165	7	iispe	iispe	NOUN
ajst-8910	165	8	can	can	AUX
ajst-8910	165	9	be	be	AUX
ajst-8910	165	10	obtained	obtain	VERB
ajst-8910	165	11	based	base	VERB
ajst-8910	165	12	on	on	ADP
ajst-8910	165	13	equations	equation	NOUN
ajst-8910	165	14	(	(	PUNCT
ajst-8910	165	15	18	18	NUM
ajst-8910	165	16	)	)	PUNCT
ajst-8910	165	17	and	and	CCONJ
ajst-8910	165	18	(	(	PUNCT
ajst-8910	165	19	19	19	NUM
ajst-8910	165	20	)	)	PUNCT
ajst-8910	165	21	,	,	PUNCT
ajst-8910	165	22	respectively	respectively	ADV
ajst-8910	165	23	.	.	PUNCT
ajst-8910	166	1	step	step	NOUN
ajst-8910	166	2	5	5	NUM
ajst-8910	166	3	:	:	PUNCT
ajst-8910	166	4	compare	compare	VERB
ajst-8910	166	5	the	the	DET
ajst-8910	166	6	statistics	statistic	NOUN
ajst-8910	166	7	with	with	ADP
ajst-8910	166	8	control	control	NOUN
ajst-8910	166	9	limit	limit	NOUN
ajst-8910	166	10	and	and	CCONJ
ajst-8910	166	11	get	get	VERB
ajst-8910	166	12	the	the	DET
ajst-8910	166	13	fault	fault	NOUN
ajst-8910	166	14	detection	detection	NOUN
ajst-8910	166	15	conclusion	conclusion	NOUN
ajst-8910	166	16	.	.	PUNCT
ajst-8910	167	1	the	the	DET
ajst-8910	167	2	offline	offline	ADJ
ajst-8910	167	3	modeling	modeling	NOUN
ajst-8910	167	4	and	and	CCONJ
ajst-8910	167	5	online	online	ADJ
ajst-8910	167	6	fault	fault	NOUN
ajst-8910	167	7	detection	detection	NOUN
ajst-8910	167	8	can	can	AUX
ajst-8910	167	9	be	be	AUX
ajst-8910	167	10	expressed	express	VERB
ajst-8910	167	11	in	in	ADP
ajst-8910	167	12	fig.1	fig.1	PROPN
ajst-8910	167	13	,	,	PUNCT
ajst-8910	167	14	transform	transform	VERB
ajst-8910	167	15	into	into	ADP
ajst-8910	167	16	interval	interval	NOUN
ajst-8910	167	17	format	format	NOUN
ajst-8910	167	18	start	start	VERB
ajst-8910	167	19	end	end	VERB
ajst-8910	168	1	n	n	DET
ajst-8910	168	2	o	o	INTJ
ajst-8910	168	3	yes	yes	INTJ
ajst-8910	168	4	off	off	ADP
ajst-8910	168	5	-	-	PUNCT
ajst-8910	168	6	line	line	NOUN
ajst-8910	168	7	modeling	modeling	NOUN
ajst-8910	168	8	steps	step	NOUN
ajst-8910	168	9	fault	fault	NOUN
ajst-8910	168	10	detection	detection	NOUN
ajst-8910	168	11	steps	step	NOUN
ajst-8910	168	12	start	start	VERB
ajst-8910	168	13	end	end	VERB
ajst-8910	168	14	normal	normal	ADJ
ajst-8910	168	15	fault	fault	NOUN
ajst-8910	168	16	detection	detection	NOUN
ajst-8910	168	17	transform	transform	VERB
ajst-8910	168	18	into	into	ADP
ajst-8910	168	19	interval	interval	NOUN
ajst-8910	168	20	format	format	NOUN
ajst-8910	168	21	standarlization	standarlization	NOUN
ajst-8910	168	22	of	of	ADP
ajst-8910	168	23	calculate	calculate	NOUN
ajst-8910	168	24	the	the	DET
ajst-8910	168	25	covariance	covariance	NOUN
ajst-8910	168	26	matrix	matrix	NOUN
ajst-8910	168	27	obtaining	obtain	VERB
ajst-8910	168	28	the	the	DET
ajst-8910	168	29	online	online	ADJ
ajst-8910	168	30	data	datum	NOUN
ajst-8910	168	31	calculate	calculate	NOUN
ajst-8910	168	32	and	and	CCONJ
ajst-8910	168	33	2	2	NUM
ajst-8910	168	34	2	2	NUM
ajst-8910	168	35	new	new	ADJ
ajst-8910	168	36	new	new	ADJ
ajst-8910	168	37	1	1	NUM
ajst-8910	168	38	?	?	PUNCT
ajst-8910	169	1	ucl	ucl	PROPN
ajst-8910	169	2	ucl	ucl	PROPN
ajst-8910	169	3	it	it	PRON
ajst-8910	169	4	it	it	PRON
ajst-8910	169	5	ispe	ispe	VERB
ajst-8910	169	6	ispe	ispe	VERB
ajst-8910	169	7	normal	normal	ADJ
ajst-8910	169	8	process	process	NOUN
ajst-8910	169	9	data	datum	NOUN
ajst-8910	169	10	,	,	PUNCT
ajst-8910	169	11	1	1	NUM
ajst-8910	169	12	:	:	PUNCT
ajst-8910	169	13	ci	ci	PROPN
ajst-8910	169	14	lp	lp	PROPN
ajst-8910	169	15	ci	ci	PROPN
ajst-8910	169	16	x	x	PUNCT
ajst-8910	170	1	[	[	X
ajst-8910	170	2	x	x	X
ajst-8910	170	3	]	]	X
ajst-8910	170	4	[	[	X
ajst-8910	170	5	x	x	X
ajst-8910	170	6	]	]	X
ajst-8910	170	7	newx	newx	PROPN
ajst-8910	170	8	new[x	new[x	PROPN
ajst-8910	170	9	]	]	PUNCT
ajst-8910	170	10	establish	establish	VERB
ajst-8910	170	11	the	the	DET
ajst-8910	170	12	cipca	cipca	PROPN
ajst-8910	170	13	model	model	PROPN
ajst-8910	170	14	calculate	calculate	VERB
ajst-8910	170	15	the	the	DET
ajst-8910	170	16	statistics	statistic	NOUN
ajst-8910	170	17	and2it	and2it	NOUN
ajst-8910	170	18	ispe	ispe	NOUN
ajst-8910	170	19	calculate	calculate	VERB
ajst-8910	170	20	the	the	DET
ajst-8910	170	21	limit	limit	NOUN
ajst-8910	170	22	of	of	ADP
ajst-8910	170	23	statistics	statistic	NOUN
ajst-8910	170	24	standarlization	standarlization	NOUN
ajst-8910	170	25	of	of	ADP
ajst-8910	170	26	new[x	new[x	NOUN
ajst-8910	170	27	]	]	PUNCT
ajst-8910	170	28	perform	perform	VERB
ajst-8910	170	29	cipca	cipca	ADV
ajst-8910	170	30	on	on	ADP
ajst-8910	170	31	ˆ	ˆ	ADJ
ajst-8910	170	32	]	]	SYM
ajst-8910	170	33	new[x	new[x	NOUN
ajst-8910	170	34	2	2	NUM
ajst-8910	170	35	newit	newit	ADJ
ajst-8910	170	36	newispe	newispe	NOUN
ajst-8910	170	37	figure	figure	NOUN
ajst-8910	170	38	1	1	NUM
ajst-8910	170	39	.	.	PUNCT
ajst-8910	170	40	flowchart	flowchart	NOUN
ajst-8910	170	41	of	of	ADP
ajst-8910	170	42	modeling	modeling	NOUN
ajst-8910	170	43	and	and	CCONJ
ajst-8910	170	44	online	online	ADJ
ajst-8910	170	45	fault	fault	NOUN
ajst-8910	170	46	detection	detection	NOUN
ajst-8910	170	47	4	4	NUM
ajst-8910	170	48	.	.	PUNCT
ajst-8910	170	49	simulation	simulation	NOUN
ajst-8910	170	50	in	in	ADP
ajst-8910	170	51	this	this	DET
ajst-8910	170	52	section	section	NOUN
ajst-8910	170	53	,	,	PUNCT
ajst-8910	170	54	a	a	DET
ajst-8910	170	55	few	few	ADJ
ajst-8910	170	56	simulations	simulation	NOUN
ajst-8910	170	57	are	be	AUX
ajst-8910	170	58	performed	perform	VERB
ajst-8910	170	59	to	to	PART
ajst-8910	170	60	show	show	VERB
ajst-8910	170	61	the	the	DET
ajst-8910	170	62	effectiveness	effectiveness	NOUN
ajst-8910	170	63	of	of	ADP
ajst-8910	170	64	interval	interval	NOUN
ajst-8910	170	65	pca	pca	PROPN
ajst-8910	170	66	when	when	SCONJ
ajst-8910	170	67	it	it	PRON
ajst-8910	170	68	faces	face	VERB
ajst-8910	170	69	the	the	DET
ajst-8910	170	70	problem	problem	NOUN
ajst-8910	170	71	of	of	ADP
ajst-8910	170	72	data	datum	NOUN
ajst-8910	170	73	imprecision	imprecision	NOUN
ajst-8910	170	74	.	.	PUNCT
ajst-8910	171	1	firstly	firstly	ADV
ajst-8910	171	2	,	,	PUNCT
ajst-8910	171	3	1000	1000	NUM
ajst-8910	171	4	pieces	piece	NOUN
ajst-8910	171	5	of	of	ADP
ajst-8910	171	6	production	production	NOUN
ajst-8910	171	7	records	record	NOUN
ajst-8910	171	8	are	be	AUX
ajst-8910	171	9	selected	select	VERB
ajst-8910	171	10	from	from	ADP
ajst-8910	171	11	history	history	NOUN
ajst-8910	171	12	production	production	NOUN
ajst-8910	171	13	database	database	NOUN
ajst-8910	171	14	.	.	PUNCT
ajst-8910	172	1	the	the	DET
ajst-8910	172	2	records	record	NOUN
ajst-8910	172	3	are	be	AUX
ajst-8910	172	4	collected	collect	VERB
ajst-8910	172	5	from	from	ADP
ajst-8910	172	6	700	700	NUM
ajst-8910	172	7	electric	electric	ADJ
ajst-8910	172	8	submersible	submersible	ADJ
ajst-8910	172	9	pumps	pump	NOUN
ajst-8910	172	10	in	in	ADP
ajst-8910	172	11	offshore	offshore	ADJ
ajst-8910	172	12	oil	oil	NOUN
ajst-8910	172	13	industry	industry	NOUN
ajst-8910	172	14	.	.	PUNCT
ajst-8910	173	1	among	among	ADP
ajst-8910	173	2	the	the	DET
ajst-8910	173	3	1000	1000	NUM
ajst-8910	173	4	records	record	NOUN
ajst-8910	173	5	,	,	PUNCT
ajst-8910	173	6	800	800	NUM
ajst-8910	173	7	are	be	AUX
ajst-8910	173	8	normal	normal	ADJ
ajst-8910	173	9	operation	operation	NOUN
ajst-8910	173	10	condition	condition	NOUN
ajst-8910	173	11	while	while	SCONJ
ajst-8910	173	12	other	other	ADJ
ajst-8910	173	13	200	200	NUM
ajst-8910	173	14	are	be	AUX
ajst-8910	173	15	with	with	ADP
ajst-8910	173	16	different	different	ADJ
ajst-8910	173	17	faults	fault	NOUN
ajst-8910	173	18	.	.	PUNCT
ajst-8910	174	1	all	all	DET
ajst-8910	174	2	the	the	DET
ajst-8910	174	3	records	record	NOUN
ajst-8910	174	4	are	be	AUX
ajst-8910	174	5	of	of	ADP
ajst-8910	174	6	unequal	unequal	ADJ
ajst-8910	174	7	length	length	NOUN
ajst-8910	174	8	,	,	PUNCT
ajst-8910	174	9	high	high	ADJ
ajst-8910	174	10	dimensional	dimensional	ADJ
ajst-8910	174	11	and	and	CCONJ
ajst-8910	174	12	low	low	ADJ
ajst-8910	174	13	imprecision	imprecision	NOUN
ajst-8910	174	14	.	.	PUNCT
ajst-8910	175	1	before	before	SCONJ
ajst-8910	175	2	the	the	DET
ajst-8910	175	3	records	record	NOUN
ajst-8910	175	4	are	be	AUX
ajst-8910	175	5	utilized	utilize	VERB
ajst-8910	175	6	for	for	ADP
ajst-8910	175	7	fault	fault	NOUN
ajst-8910	175	8	detection	detection	NOUN
ajst-8910	175	9	,	,	PUNCT
ajst-8910	175	10	necessary	necessary	ADJ
ajst-8910	175	11	procedures	procedure	NOUN
ajst-8910	175	12	are	be	AUX
ajst-8910	175	13	carried	carry	VERB
ajst-8910	175	14	out	out	ADP
ajst-8910	175	15	to	to	PART
ajst-8910	175	16	make	make	VERB
ajst-8910	175	17	each	each	DET
ajst-8910	175	18	record	record	NOUN
ajst-8910	175	19	equal	equal	ADJ
ajst-8910	175	20	length	length	NOUN
ajst-8910	175	21	with	with	ADP
ajst-8910	175	22	300	300	NUM
ajst-8910	175	23	sample	sample	NOUN
ajst-8910	175	24	points	point	NOUN
ajst-8910	175	25	.	.	PUNCT
ajst-8910	176	1	twelve	twelve	NUM
ajst-8910	176	2	variables	variable	NOUN
ajst-8910	176	3	are	be	AUX
ajst-8910	176	4	selected	select	VERB
ajst-8910	176	5	as	as	ADP
ajst-8910	176	6	107	107	NUM
ajst-8910	176	7	character	character	NOUN
ajst-8910	176	8	variables	variable	NOUN
ajst-8910	176	9	to	to	PART
ajst-8910	176	10	identify	identify	VERB
ajst-8910	176	11	the	the	DET
ajst-8910	176	12	fault	fault	NOUN
ajst-8910	176	13	of	of	ADP
ajst-8910	176	14	esp	esp	ADJ
ajst-8910	176	15	.	.	PUNCT
ajst-8910	177	1	the	the	DET
ajst-8910	177	2	variables	variable	NOUN
ajst-8910	177	3	are	be	AUX
ajst-8910	177	4	listed	list	VERB
ajst-8910	177	5	in	in	ADP
ajst-8910	177	6	table.1	table.1	NOUN
ajst-8910	177	7	table	table	NOUN
ajst-8910	177	8	1	1	NUM
ajst-8910	177	9	.	.	NUM
ajst-8910	177	10	selected	select	VERB
ajst-8910	177	11	features	feature	NOUN
ajst-8910	177	12	variables	variable	NOUN
ajst-8910	177	13	of	of	ADP
ajst-8910	177	14	esd	esd	PROPN
ajst-8910	177	15	variable	variable	ADJ
ajst-8910	177	16	unit	unit	NOUN
ajst-8910	177	17	variable	variable	ADJ
ajst-8910	177	18	unit	unit	NOUN
ajst-8910	177	19	pressure	pressure	NOUN
ajst-8910	177	20	of	of	ADP
ajst-8910	177	21	oil	oil	NOUN
ajst-8910	177	22	mpa	mpa	NOUN
ajst-8910	177	23	,	,	PUNCT
ajst-8910	177	24	rotational	rotational	ADJ
ajst-8910	177	25	speed	speed	NOUN
ajst-8910	177	26	of	of	ADP
ajst-8910	177	27	esd	esd	PROPN
ajst-8910	177	28	r	r	PROPN
ajst-8910	177	29	/	/	SYM
ajst-8910	177	30	min	min	NOUN
ajst-8910	177	31	outlet	outlet	NOUN
ajst-8910	177	32	pressure	pressure	NOUN
ajst-8910	177	33	of	of	ADP
ajst-8910	177	34	esd	esd	PROPN
ajst-8910	177	35	mpa	mpa	PROPN
ajst-8910	177	36	,	,	PUNCT
ajst-8910	177	37	acceleration	acceleration	NOUN
ajst-8910	177	38	of	of	ADP
ajst-8910	177	39	esd	esd	PROPN
ajst-8910	177	40	g	g	PROPN
ajst-8910	177	41	intlet	intlet	NOUN
ajst-8910	177	42	pressure	pressure	NOUN
ajst-8910	177	43	of	of	ADP
ajst-8910	177	44	esd	esd	PROPN
ajst-8910	177	45	mpa	mpa	PROPN
ajst-8910	177	46	,	,	PUNCT
ajst-8910	177	47	gas	gas	NOUN
ajst-8910	177	48	oil	oil	NOUN
ajst-8910	177	49	ratio	ratio	NOUN
ajst-8910	177	50	%	%	NOUN
ajst-8910	177	51	fluid	fluid	ADJ
ajst-8910	177	52	pressure	pressure	NOUN
ajst-8910	177	53	mpa	mpa	NOUN
ajst-8910	177	54	,	,	PUNCT
ajst-8910	177	55	oil	oil	NOUN
ajst-8910	177	56	gas	gas	NOUN
ajst-8910	177	57	ratio	ratio	NOUN
ajst-8910	177	58	%	%	NOUN
ajst-8910	177	59	current	current	NOUN
ajst-8910	177	60	of	of	ADP
ajst-8910	177	61	esd	esd	PROPN
ajst-8910	177	62	a	a	DET
ajst-8910	177	63	water	water	NOUN
ajst-8910	177	64	gas	gas	NOUN
ajst-8910	177	65	ratio	ratio	NOUN
ajst-8910	177	66	%	%	NOUN
ajst-8910	177	67	voltage	voltage	NOUN
ajst-8910	177	68	of	of	ADP
ajst-8910	177	69	esd	esd	NOUN
ajst-8910	177	70	v	v	ADP
ajst-8910	177	71	oil	oil	NOUN
ajst-8910	177	72	density	density	NOUN
ajst-8910	177	73	g	g	NOUN
ajst-8910	177	74	/	/	SYM
ajst-8910	177	75	cm3	cm3	NOUN
ajst-8910	177	76	there	there	PRON
ajst-8910	177	77	are	be	VERB
ajst-8910	177	78	various	various	ADJ
ajst-8910	177	79	of	of	ADP
ajst-8910	177	80	fault	fault	NOUN
ajst-8910	177	81	for	for	ADP
ajst-8910	177	82	the	the	DET
ajst-8910	177	83	esd	esd	NOUN
ajst-8910	177	84	.	.	PUNCT
ajst-8910	178	1	despite	despite	SCONJ
ajst-8910	178	2	the	the	DET
ajst-8910	178	3	manual	manual	ADJ
ajst-8910	178	4	operation	operation	NOUN
ajst-8910	178	5	fault	fault	NOUN
ajst-8910	178	6	,	,	PUNCT
ajst-8910	178	7	the	the	DET
ajst-8910	178	8	leaking	leaking	NOUN
ajst-8910	178	9	of	of	ADP
ajst-8910	178	10	oil	oil	NOUN
ajst-8910	178	11	pipe	pipe	NOUN
ajst-8910	178	12	,	,	PUNCT
ajst-8910	178	13	low	low	ADJ
ajst-8910	178	14	load	load	NOUN
ajst-8910	178	15	of	of	ADP
ajst-8910	178	16	the	the	DET
ajst-8910	178	17	esd	esd	NOUN
ajst-8910	178	18	,	,	PUNCT
ajst-8910	178	19	three	three	NUM
ajst-8910	178	20	-	-	PUNCT
ajst-8910	178	21	phase	phase	NOUN
ajst-8910	178	22	unbalanced	unbalanced	ADJ
ajst-8910	178	23	of	of	ADP
ajst-8910	178	24	the	the	DET
ajst-8910	178	25	esd	esd	NOUN
ajst-8910	178	26	,	,	PUNCT
ajst-8910	178	27	over	over	ADP
ajst-8910	178	28	load	load	NOUN
ajst-8910	178	29	of	of	ADP
ajst-8910	178	30	the	the	DET
ajst-8910	178	31	esd	esd	NOUN
ajst-8910	178	32	,	,	PUNCT
ajst-8910	178	33	insufficient	insufficient	NOUN
ajst-8910	178	34	of	of	ADP
ajst-8910	178	35	the	the	DET
ajst-8910	178	36	water	water	NOUN
ajst-8910	178	37	supply	supply	NOUN
ajst-8910	178	38	are	be	AUX
ajst-8910	178	39	the	the	DET
ajst-8910	178	40	most	most	ADV
ajst-8910	178	41	common	common	ADJ
ajst-8910	178	42	fault	fault	NOUN
ajst-8910	178	43	caused	cause	VERB
ajst-8910	178	44	by	by	ADP
ajst-8910	178	45	unclear	unclear	ADJ
ajst-8910	178	46	inner	inner	ADJ
ajst-8910	178	47	mechanic	mechanic	ADJ
ajst-8910	178	48	reason	reason	NOUN
ajst-8910	178	49	.	.	PUNCT
ajst-8910	179	1	the	the	DET
ajst-8910	179	2	common	common	ADJ
ajst-8910	179	3	faults	fault	NOUN
ajst-8910	179	4	are	be	AUX
ajst-8910	179	5	listed	list	VERB
ajst-8910	179	6	in	in	ADP
ajst-8910	179	7	table.2	table.2	ADJ
ajst-8910	179	8	table	table	NOUN
ajst-8910	179	9	2	2	NUM
ajst-8910	179	10	.	.	PUNCT
ajst-8910	179	11	common	common	ADJ
ajst-8910	179	12	faults	fault	NOUN
ajst-8910	179	13	of	of	ADP
ajst-8910	179	14	esd	esd	PROPN
ajst-8910	179	15	index	index	NOUN
ajst-8910	179	16	faults	fault	NOUN
ajst-8910	179	17	1	1	NUM
ajst-8910	179	18	oil	oil	NOUN
ajst-8910	179	19	pipe	pipe	NOUN
ajst-8910	179	20	leaking	leak	VERB
ajst-8910	179	21	2	2	NUM
ajst-8910	179	22	low	low	ADJ
ajst-8910	179	23	load	load	NOUN
ajst-8910	179	24	of	of	ADP
ajst-8910	179	25	esd	esd	PROPN
ajst-8910	179	26	3	3	NUM
ajst-8910	179	27	three	three	NUM
ajst-8910	179	28	-	-	PUNCT
ajst-8910	179	29	phase	phase	NOUN
ajst-8910	179	30	unbalanceof	unbalanceof	ADV
ajst-8910	179	31	esd	esd	VERB
ajst-8910	179	32	4	4	NUM
ajst-8910	179	33	over	over	ADP
ajst-8910	179	34	load	load	NOUN
ajst-8910	179	35	of	of	ADP
ajst-8910	179	36	esd	esd	PROPN
ajst-8910	179	37	5	5	NUM
ajst-8910	179	38	insufficient	insufficient	ADJ
ajst-8910	179	39	water	water	NOUN
ajst-8910	179	40	supply	supply	NOUN
ajst-8910	179	41	firstly	firstly	ADV
ajst-8910	179	42	,	,	PUNCT
ajst-8910	179	43	three	three	NUM
ajst-8910	179	44	data	datum	NOUN
ajst-8910	179	45	-	-	PUNCT
ajst-8910	179	46	models	model	NOUN
ajst-8910	179	47	are	be	AUX
ajst-8910	179	48	established	establish	VERB
ajst-8910	179	49	.	.	PUNCT
ajst-8910	180	1	100	100	NUM
ajst-8910	180	2	samples	sample	NOUN
ajst-8910	180	3	are	be	AUX
ajst-8910	180	4	selected	select	VERB
ajst-8910	180	5	as	as	ADP
ajst-8910	180	6	the	the	DET
ajst-8910	180	7	modeling	modeling	NOUN
ajst-8910	180	8	data	datum	NOUN
ajst-8910	180	9	for	for	ADP
ajst-8910	180	10	pca	pca	PROPN
ajst-8910	180	11	model	model	NOUN
ajst-8910	180	12	,	,	PUNCT
ajst-8910	180	13	cpca	cpca	NOUN
ajst-8910	180	14	model	model	NOUN
ajst-8910	180	15	,	,	PUNCT
ajst-8910	180	16	cipca	cipca	PROPN
ajst-8910	180	17	model	model	PROPN
ajst-8910	180	18	are	be	AUX
ajst-8910	180	19	checked	check	VERB
ajst-8910	180	20	by	by	ADP
ajst-8910	180	21	expert	expert	NOUN
ajst-8910	180	22	and	and	CCONJ
ajst-8910	180	23	are	be	AUX
ajst-8910	180	24	believed	believe	VERB
ajst-8910	180	25	precise	precise	ADJ
ajst-8910	180	26	,	,	PUNCT
ajst-8910	180	27	relatively	relatively	ADV
ajst-8910	180	28	.	.	PUNCT
ajst-8910	181	1	the	the	DET
ajst-8910	181	2	interval	interval	NOUN
ajst-8910	181	3	data	datum	NOUN
ajst-8910	181	4	for	for	ADP
ajst-8910	181	5	cpca	cpca	NOUN
ajst-8910	181	6	and	and	CCONJ
ajst-8910	181	7	cipca	cipca	NOUN
ajst-8910	181	8	is	be	AUX
ajst-8910	181	9	transformed	transform	VERB
ajst-8910	181	10	from	from	ADP
ajst-8910	181	11	the	the	DET
ajst-8910	181	12	same	same	ADJ
ajst-8910	181	13	model	model	NOUN
ajst-8910	181	14	-	-	PUNCT
ajst-8910	181	15	building	building	NOUN
ajst-8910	181	16	data	datum	NOUN
ajst-8910	181	17	as	as	ADP
ajst-8910	181	18	that	that	PRON
ajst-8910	181	19	in	in	ADP
ajst-8910	181	20	pca	pca	NOUN
ajst-8910	181	21	model	model	NOUN
ajst-8910	181	22	based	base	VERB
ajst-8910	181	23	on	on	ADP
ajst-8910	181	24	gmm	gmm	PROPN
ajst-8910	181	25	algorithm	algorithm	NOUN
ajst-8910	181	26	with	with	ADP
ajst-8910	181	27	one	one	NUM
ajst-8910	181	28	time	time	NOUN
ajst-8910	181	29	variance	variance	NOUN
ajst-8910	181	30	.	.	PUNCT
ajst-8910	182	1	while	while	SCONJ
ajst-8910	182	2	for	for	ADP
ajst-8910	182	3	the	the	DET
ajst-8910	182	4	online	online	ADJ
ajst-8910	182	5	cases	case	NOUN
ajst-8910	182	6	,	,	PUNCT
ajst-8910	182	7	the	the	DET
ajst-8910	182	8	test	test	NOUN
ajst-8910	182	9	data	data	NOUN
ajst-8910	182	10	contains	contain	VERB
ajst-8910	182	11	more	more	ADJ
ajst-8910	182	12	imprecision	imprecision	NOUN
ajst-8910	182	13	problem	problem	NOUN
ajst-8910	182	14	with	with	ADP
ajst-8910	182	15	3	3	NUM
ajst-8910	182	16	times	time	NOUN
ajst-8910	182	17	variances	variance	NOUN
ajst-8910	182	18	.	.	PUNCT
ajst-8910	183	1	two	two	NUM
ajst-8910	183	2	fault	fault	NOUN
ajst-8910	183	3	cases	case	NOUN
ajst-8910	183	4	are	be	AUX
ajst-8910	183	5	chosen	choose	VERB
ajst-8910	183	6	from	from	ADP
ajst-8910	183	7	the	the	DET
ajst-8910	183	8	fault	fault	NOUN
ajst-8910	183	9	records	record	NOUN
ajst-8910	183	10	to	to	PART
ajst-8910	183	11	verify	verify	VERB
ajst-8910	183	12	the	the	DET
ajst-8910	183	13	online	online	ADJ
ajst-8910	183	14	fault	fault	NOUN
ajst-8910	183	15	detection	detection	NOUN
ajst-8910	183	16	ability	ability	NOUN
ajst-8910	183	17	.	.	PUNCT
ajst-8910	184	1	the	the	DET
ajst-8910	184	2	oil	oil	NOUN
ajst-8910	184	3	pipe	pipe	NOUN
ajst-8910	184	4	leaking	leak	VERB
ajst-8910	184	5	fault	fault	NOUN
ajst-8910	184	6	occurs	occur	VERB
ajst-8910	184	7	in	in	ADP
ajst-8910	184	8	the	the	DET
ajst-8910	184	9	first	first	ADJ
ajst-8910	184	10	case	case	NOUN
ajst-8910	184	11	from	from	ADP
ajst-8910	184	12	201	201	NUM
ajst-8910	184	13	sample	sample	NOUN
ajst-8910	184	14	point	point	NOUN
ajst-8910	184	15	to	to	ADP
ajst-8910	184	16	the	the	DET
ajst-8910	184	17	300	300	NUM
ajst-8910	184	18	sample	sample	NOUN
ajst-8910	184	19	point	point	NOUN
ajst-8910	184	20	.	.	PUNCT
ajst-8910	185	1	the	the	DET
ajst-8910	185	2	fault	fault	NOUN
ajst-8910	185	3	detection	detection	NOUN
ajst-8910	185	4	results	result	NOUN
ajst-8910	185	5	of	of	ADP
ajst-8910	185	6	pca	pca	NOUN
ajst-8910	185	7	,	,	PUNCT
ajst-8910	185	8	cpca	cpca	NOUN
ajst-8910	185	9	and	and	CCONJ
ajst-8910	185	10	cipca	cipca	NOUN
ajst-8910	185	11	models	model	NOUN
ajst-8910	185	12	are	be	AUX
ajst-8910	185	13	shown	show	VERB
ajst-8910	185	14	in	in	ADP
ajst-8910	185	15	fig.2	fig.2	PROPN
ajst-8910	185	16	,	,	PUNCT
ajst-8910	185	17	fig.3	fig.3	PROPN
ajst-8910	185	18	and	and	CCONJ
ajst-8910	185	19	fig.4	fig.4	ADJ
ajst-8910	185	20	figure	figure	NOUN
ajst-8910	185	21	2	2	NUM
ajst-8910	185	22	.	.	PUNCT
ajst-8910	185	23	fault	fault	VERB
ajst-8910	185	24	detection	detection	NOUN
ajst-8910	185	25	results	result	NOUN
ajst-8910	185	26	of	of	ADP
ajst-8910	185	27	pca	pca	NOUN
ajst-8910	185	28	model	model	NOUN
ajst-8910	185	29	for	for	ADP
ajst-8910	185	30	case1	case1	NOUN
ajst-8910	185	31	figure	figure	NOUN
ajst-8910	185	32	3	3	NUM
ajst-8910	185	33	.	.	X
ajst-8910	185	34	fault	fault	VERB
ajst-8910	185	35	detection	detection	NOUN
ajst-8910	185	36	results	result	NOUN
ajst-8910	185	37	of	of	ADP
ajst-8910	185	38	cpca	cpca	NOUN
ajst-8910	185	39	model	model	NOUN
ajst-8910	185	40	for	for	ADP
ajst-8910	185	41	case1	case1	NOUN
ajst-8910	185	42	108	108	NUM
ajst-8910	185	43	figure	figure	NOUN
ajst-8910	185	44	4	4	NUM
ajst-8910	185	45	.	.	PUNCT
ajst-8910	185	46	fault	fault	VERB
ajst-8910	185	47	detection	detection	NOUN
ajst-8910	185	48	results	result	NOUN
ajst-8910	185	49	of	of	ADP
ajst-8910	185	50	cipca	cipca	NOUN
ajst-8910	185	51	model	model	NOUN
ajst-8910	185	52	for	for	ADP
ajst-8910	185	53	case1	case1	NOUN
ajst-8910	185	54	as	as	SCONJ
ajst-8910	185	55	the	the	DET
ajst-8910	185	56	test	test	NOUN
ajst-8910	185	57	data	data	NOUN
ajst-8910	185	58	contains	contain	VERB
ajst-8910	185	59	much	much	ADJ
ajst-8910	185	60	noise	noise	NOUN
ajst-8910	185	61	,	,	PUNCT
ajst-8910	185	62	the	the	DET
ajst-8910	185	63	traditional	traditional	ADJ
ajst-8910	185	64	pca	pca	NOUN
ajst-8910	185	65	model	model	NOUN
ajst-8910	185	66	regards	regard	VERB
ajst-8910	185	67	the	the	DET
ajst-8910	185	68	samples	sample	NOUN
ajst-8910	185	69	as	as	ADP
ajst-8910	185	70	fault	fault	NOUN
ajst-8910	185	71	sample	sample	NOUN
ajst-8910	185	72	.	.	PUNCT
ajst-8910	186	1	therefore	therefore	ADV
ajst-8910	186	2	,	,	PUNCT
ajst-8910	186	3	nearly	nearly	ADV
ajst-8910	186	4	all	all	DET
ajst-8910	186	5	the	the	DET
ajst-8910	186	6	samples	sample	NOUN
ajst-8910	186	7	are	be	AUX
ajst-8910	186	8	tested	test	VERB
ajst-8910	186	9	fault	fault	NOUN
ajst-8910	186	10	sample	sample	NOUN
ajst-8910	186	11	as	as	SCONJ
ajst-8910	186	12	shown	show	VERB
ajst-8910	186	13	in	in	ADP
ajst-8910	186	14	fig.2	fig.2	PROPN
ajst-8910	186	15	.	.	PUNCT
ajst-8910	187	1	for	for	ADP
ajst-8910	187	2	the	the	DET
ajst-8910	187	3	interval	interval	NOUN
ajst-8910	187	4	model	model	NOUN
ajst-8910	187	5	can	can	AUX
ajst-8910	187	6	handle	handle	VERB
ajst-8910	187	7	the	the	DET
ajst-8910	187	8	imprecision	imprecision	NOUN
ajst-8910	187	9	problem	problem	NOUN
ajst-8910	187	10	well	well	ADV
ajst-8910	187	11	in	in	ADP
ajst-8910	187	12	fig.3	fig.3	PROPN
ajst-8910	187	13	.	.	PUNCT
ajst-8910	188	1	almost	almost	ADV
ajst-8910	188	2	all	all	DET
ajst-8910	188	3	the	the	DET
ajst-8910	188	4	normal	normal	ADJ
ajst-8910	188	5	samples	sample	NOUN
ajst-8910	188	6	are	be	AUX
ajst-8910	188	7	tested	test	VERB
ajst-8910	188	8	.	.	PUNCT
ajst-8910	189	1	however	however	ADV
ajst-8910	189	2	,	,	PUNCT
ajst-8910	189	3	the	the	DET
ajst-8910	189	4	fault	fault	NOUN
ajst-8910	189	5	samples	sample	NOUN
ajst-8910	189	6	have	have	VERB
ajst-8910	189	7	low	low	ADJ
ajst-8910	189	8	identification	identification	NOUN
ajst-8910	189	9	.	.	PUNCT
ajst-8910	190	1	the	the	DET
ajst-8910	190	2	cipca	cipca	NOUN
ajst-8910	190	3	utilized	utilize	VERB
ajst-8910	190	4	more	more	ADJ
ajst-8910	190	5	data	datum	NOUN
ajst-8910	190	6	information	information	NOUN
ajst-8910	190	7	and	and	CCONJ
ajst-8910	190	8	identify	identify	VERB
ajst-8910	190	9	the	the	DET
ajst-8910	190	10	fault	fault	NOUN
ajst-8910	190	11	in	in	ADP
ajst-8910	190	12	time	time	NOUN
ajst-8910	190	13	and	and	CCONJ
ajst-8910	190	14	accurately	accurately	ADV
ajst-8910	190	15	as	as	SCONJ
ajst-8910	190	16	shown	show	VERB
ajst-8910	190	17	in	in	ADP
ajst-8910	190	18	fig4	fig4	PROPN
ajst-8910	190	19	.	.	PUNCT
ajst-8910	191	1	in	in	ADP
ajst-8910	191	2	case	case	NOUN
ajst-8910	191	3	2	2	NUM
ajst-8910	191	4	,	,	PUNCT
ajst-8910	191	5	the	the	DET
ajst-8910	191	6	three	three	NUM
ajst-8910	191	7	-	-	PUNCT
ajst-8910	191	8	phase	phase	NOUN
ajst-8910	191	9	unbalanced	unbalanced	ADJ
ajst-8910	191	10	fault	fault	NOUN
ajst-8910	191	11	is	be	AUX
ajst-8910	191	12	introduced	introduce	VERB
ajst-8910	191	13	from	from	ADP
ajst-8910	191	14	200	200	NUM
ajst-8910	191	15	sample	sample	NOUN
ajst-8910	191	16	point	point	NOUN
ajst-8910	191	17	to	to	ADP
ajst-8910	191	18	the	the	DET
ajst-8910	191	19	end	end	NOUN
ajst-8910	191	20	.	.	PUNCT
ajst-8910	192	1	the	the	DET
ajst-8910	192	2	traditional	traditional	ADJ
ajst-8910	192	3	pca	pca	NOUN
ajst-8910	192	4	can	can	AUX
ajst-8910	192	5	not	not	PART
ajst-8910	192	6	separated	separate	VERB
ajst-8910	192	7	the	the	DET
ajst-8910	192	8	fault	fault	NOUN
ajst-8910	192	9	from	from	ADP
ajst-8910	192	10	the	the	DET
ajst-8910	192	11	normal	normal	ADJ
ajst-8910	192	12	point	point	NOUN
ajst-8910	192	13	.	.	PUNCT
ajst-8910	193	1	the	the	DET
ajst-8910	193	2	cpca	cpca	NOUN
ajst-8910	193	3	can	can	AUX
ajst-8910	193	4	identify	identify	VERB
ajst-8910	193	5	most	most	ADJ
ajst-8910	193	6	fault	fault	NOUN
ajst-8910	193	7	sample	sample	NOUN
ajst-8910	193	8	point	point	NOUN
ajst-8910	193	9	with	with	ADP
ajst-8910	193	10	a	a	DET
ajst-8910	193	11	few	few	ADJ
ajst-8910	193	12	false	false	ADJ
ajst-8910	193	13	alarm	alarm	NOUN
ajst-8910	193	14	.	.	PUNCT
ajst-8910	194	1	the	the	DET
ajst-8910	194	2	cipca	cipca	PROPN
ajst-8910	194	3	identify	identify	VERB
ajst-8910	194	4	most	most	ADJ
ajst-8910	194	5	the	the	DET
ajst-8910	194	6	fault	fault	NOUN
ajst-8910	194	7	samples	sample	NOUN
ajst-8910	194	8	.	.	PUNCT
ajst-8910	195	1	figure	figure	NOUN
ajst-8910	195	2	5	5	NUM
ajst-8910	195	3	.	.	PUNCT
ajst-8910	196	1	fault	fault	VERB
ajst-8910	196	2	detection	detection	NOUN
ajst-8910	196	3	results	result	NOUN
ajst-8910	196	4	of	of	ADP
ajst-8910	196	5	pca	pca	NOUN
ajst-8910	196	6	model	model	NOUN
ajst-8910	196	7	for	for	ADP
ajst-8910	196	8	case2	case2	PROPN
ajst-8910	196	9	figure	figure	NOUN
ajst-8910	196	10	6	6	NUM
ajst-8910	196	11	.	.	PUNCT
ajst-8910	197	1	fault	fault	NOUN
ajst-8910	197	2	detection	detection	NOUN
ajst-8910	197	3	results	result	NOUN
ajst-8910	197	4	of	of	ADP
ajst-8910	197	5	cpca	cpca	NOUN
ajst-8910	197	6	model	model	NOUN
ajst-8910	197	7	for	for	ADP
ajst-8910	197	8	case2	case2	NOUN
ajst-8910	197	9	109	109	NUM
ajst-8910	197	10	figure	figure	NOUN
ajst-8910	197	11	7	7	NUM
ajst-8910	197	12	.	.	PUNCT
ajst-8910	198	1	fault	fault	NOUN
ajst-8910	198	2	detection	detection	NOUN
ajst-8910	198	3	results	result	NOUN
ajst-8910	198	4	of	of	ADP
ajst-8910	198	5	cipca	cipca	NOUN
ajst-8910	198	6	model	model	NOUN
ajst-8910	198	7	for	for	ADP
ajst-8910	198	8	case2	case2	NOUN
ajst-8910	198	9	5	5	NUM
ajst-8910	198	10	.	.	PUNCT
ajst-8910	198	11	conclusion	conclusion	NOUN
ajst-8910	198	12	most	most	ADJ
ajst-8910	198	13	of	of	ADP
ajst-8910	198	14	the	the	DET
ajst-8910	198	15	data	data	NOUN
ajst-8910	198	16	-	-	PUNCT
ajst-8910	198	17	driven	drive	VERB
ajst-8910	198	18	fault	fault	NOUN
ajst-8910	198	19	detection	detection	NOUN
ajst-8910	198	20	methods	method	NOUN
ajst-8910	198	21	of	of	ADP
ajst-8910	198	22	electric	electric	ADJ
ajst-8910	198	23	submersible	submersible	ADJ
ajst-8910	198	24	pump	pump	NOUN
ajst-8910	198	25	are	be	AUX
ajst-8910	198	26	affected	affect	VERB
ajst-8910	198	27	by	by	ADP
ajst-8910	198	28	the	the	DET
ajst-8910	198	29	data	datum	NOUN
ajst-8910	198	30	imprecision	imprecision	NOUN
ajst-8910	198	31	.	.	PUNCT
ajst-8910	199	1	the	the	DET
ajst-8910	199	2	interval	interval	NOUN
ajst-8910	199	3	data	data	NOUN
ajst-8910	199	4	algorithms	algorithm	NOUN
ajst-8910	199	5	provide	provide	VERB
ajst-8910	199	6	a	a	DET
ajst-8910	199	7	way	way	NOUN
ajst-8910	199	8	in	in	ADP
ajst-8910	199	9	handling	handle	VERB
ajst-8910	199	10	this	this	DET
ajst-8910	199	11	problem	problem	NOUN
ajst-8910	199	12	.	.	PUNCT
ajst-8910	200	1	the	the	DET
ajst-8910	200	2	cpca	cpca	NOUN
ajst-8910	200	3	method	method	NOUN
ajst-8910	200	4	can	can	AUX
ajst-8910	200	5	identify	identify	VERB
ajst-8910	200	6	more	more	ADJ
ajst-8910	200	7	fault	fault	NOUN
ajst-8910	200	8	and	and	CCONJ
ajst-8910	200	9	perform	perform	VERB
ajst-8910	200	10	more	more	ADV
ajst-8910	200	11	sensitive	sensitive	ADJ
ajst-8910	200	12	than	than	ADP
ajst-8910	200	13	the	the	DET
ajst-8910	200	14	point	point	NOUN
ajst-8910	200	15	valued	value	VERB
ajst-8910	200	16	traditional	traditional	ADJ
ajst-8910	200	17	pca	pca	PROPN
ajst-8910	200	18	.	.	PUNCT
ajst-8910	201	1	however	however	ADV
ajst-8910	201	2	,	,	PUNCT
ajst-8910	201	3	the	the	DET
ajst-8910	201	4	traditional	traditional	ADJ
ajst-8910	201	5	and	and	CCONJ
ajst-8910	201	6	modified	modify	VERB
ajst-8910	201	7	pca	pca	NOUN
ajst-8910	201	8	algorithms	algorithm	NOUN
ajst-8910	201	9	mainly	mainly	ADV
ajst-8910	201	10	handle	handle	VERB
ajst-8910	201	11	the	the	DET
ajst-8910	201	12	linear	linear	ADJ
ajst-8910	201	13	relationship	relationship	NOUN
ajst-8910	201	14	between	between	ADP
ajst-8910	201	15	variables	variable	NOUN
ajst-8910	201	16	.	.	PUNCT
ajst-8910	202	1	some	some	DET
ajst-8910	202	2	nonlinear	nonlinear	ADJ
ajst-8910	202	3	relationship	relationship	NOUN
ajst-8910	202	4	can	can	AUX
ajst-8910	202	5	not	not	PART
ajst-8910	202	6	be	be	AUX
ajst-8910	202	7	identified	identify	VERB
ajst-8910	202	8	by	by	ADP
ajst-8910	202	9	the	the	DET
ajst-8910	202	10	pca	pca	PROPN
ajst-8910	202	11	algorithms	algorithm	NOUN
ajst-8910	202	12	.	.	PUNCT
ajst-8910	203	1	in	in	ADP
ajst-8910	203	2	this	this	DET
ajst-8910	203	3	paper	paper	NOUN
ajst-8910	203	4	,	,	PUNCT
ajst-8910	203	5	the	the	DET
ajst-8910	203	6	complete	complete	ADJ
ajst-8910	203	7	information	information	NOUN
ajst-8910	203	8	pca	pca	PROPN
ajst-8910	203	9	is	be	AUX
ajst-8910	203	10	applied	apply	VERB
ajst-8910	203	11	to	to	PART
ajst-8910	203	12	identify	identify	VERB
ajst-8910	203	13	the	the	DET
ajst-8910	203	14	faults	fault	NOUN
ajst-8910	203	15	and	and	CCONJ
ajst-8910	203	16	all	all	DET
ajst-8910	203	17	the	the	DET
ajst-8910	203	18	information	information	NOUN
ajst-8910	203	19	between	between	ADP
ajst-8910	203	20	variables	variable	NOUN
ajst-8910	203	21	are	be	AUX
ajst-8910	203	22	considered	consider	VERB
ajst-8910	203	23	and	and	CCONJ
ajst-8910	203	24	reserved	reserve	VERB
ajst-8910	203	25	.	.	PUNCT
ajst-8910	204	1	better	well	ADJ
ajst-8910	204	2	detection	detection	NOUN
ajst-8910	204	3	results	result	NOUN
ajst-8910	204	4	are	be	AUX
ajst-8910	204	5	received	receive	VERB
ajst-8910	204	6	.	.	PUNCT
ajst-8910	205	1	acknowledgment	acknowledgment	NOUN
ajst-8910	205	2	this	this	DET
ajst-8910	205	3	work	work	NOUN
ajst-8910	205	4	is	be	AUX
ajst-8910	205	5	supported	support	VERB
ajst-8910	205	6	by	by	ADP
ajst-8910	205	7	the	the	DET
ajst-8910	205	8	national	national	ADJ
ajst-8910	205	9	natural	natural	PROPN
ajst-8910	205	10	science	science	PROPN
ajst-8910	205	11	foundation	foundation	PROPN
ajst-8910	205	12	of	of	ADP
ajst-8910	205	13	china	china	PROPN
ajst-8910	205	14	(	(	PUNCT
ajst-8910	205	15	no.61903272	no.61903272	PROPN
ajst-8910	205	16	)	)	PUNCT
ajst-8910	205	17	,	,	PUNCT
ajst-8910	205	18	the	the	DET
ajst-8910	205	19	natural	natural	ADJ
ajst-8910	205	20	science	science	NOUN
ajst-8910	205	21	foundation	foundation	NOUN
ajst-8910	205	22	of	of	ADP
ajst-8910	205	23	tianjin	tianjin	PROPN
ajst-8910	205	24	(	(	PUNCT
ajst-8910	205	25	no.20jcqnjc01670	no.20jcqnjc01670	PROPN
ajst-8910	205	26	)	)	PUNCT
ajst-8910	205	27	and	and	CCONJ
ajst-8910	205	28	science	science	NOUN
ajst-8910	205	29	and	and	CCONJ
ajst-8910	205	30	technology	technology	NOUN
ajst-8910	205	31	on	on	ADP
ajst-8910	205	32	space	space	NOUN
ajst-8910	205	33	intelligent	intelligent	ADJ
ajst-8910	205	34	control	control	NOUN
ajst-8910	205	35	laboratory	laboratory	NOUN
ajst-8910	205	36	(	(	PUNCT
ajst-8910	205	37	no	no	INTJ
ajst-8910	205	38	.	.	PUNCT
ajst-8910	206	1	htkj2019kl502008	htkj2019kl502008	NOUN
ajst-8910	206	2	)	)	PUNCT
ajst-8910	206	3	.	.	PUNCT
ajst-8910	207	1	references	reference	NOUN
ajst-8910	207	2	[	[	X
ajst-8910	207	3	1	1	NUM
ajst-8910	207	4	]	]	X
ajst-8910	207	5	gupta	gupta	PROPN
ajst-8910	207	6	s	s	PROPN
ajst-8910	207	7	,	,	PUNCT
ajst-8910	207	8	saputelli	saputelli	PROPN
ajst-8910	207	9	l	l	PROPN
ajst-8910	207	10	,	,	PUNCT
ajst-8910	207	11	nikolaou	nikolaou	PROPN
ajst-8910	207	12	m	m	PROPN
ajst-8910	207	13	,	,	PUNCT
ajst-8910	207	14	editors	editor	NOUN
ajst-8910	207	15	.	.	PUNCT
ajst-8910	208	1	big	big	ADJ
ajst-8910	208	2	data	data	PROPN
ajst-8910	208	3	analytics	analytic	NOUN
ajst-8910	208	4	workflow	workflow	NOUN
ajst-8910	208	5	to	to	PART
ajst-8910	208	6	safeguard	safeguard	VERB
ajst-8910	208	7	esp	esp	ADJ
ajst-8910	208	8	operations	operation	NOUN
ajst-8910	208	9	in	in	ADP
ajst-8910	208	10	real	real	ADJ
ajst-8910	208	11	-	-	PUNCT
ajst-8910	208	12	time	time	NOUN
ajst-8910	208	13	.	.	PUNCT
ajst-8910	209	1	spe	spe	PROPN
ajst-8910	209	2	north	north	PROPN
ajst-8910	209	3	america	america	PROPN
ajst-8910	209	4	artificial	artificial	PROPN
ajst-8910	209	5	lift	lift	NOUN
ajst-8910	209	6	conference	conference	NOUN
ajst-8910	209	7	&	&	CCONJ
ajst-8910	209	8	exhibition	exhibition	NOUN
ajst-8910	209	9	;	;	PUNCT
ajst-8910	209	10	2016	2016	NUM
ajst-8910	209	11	.	.	PUNCT
ajst-8910	210	1	[	[	X
ajst-8910	210	2	2	2	NUM
ajst-8910	210	3	]	]	X
ajst-8910	210	4	zhang	zhang	PROPN
ajst-8910	210	5	p	p	PROPN
ajst-8910	210	6	,	,	PUNCT
ajst-8910	210	7	chen	chen	PROPN
ajst-8910	210	8	t	t	PROPN
ajst-8910	210	9	,	,	PUNCT
ajst-8910	210	10	wang	wang	PROPN
ajst-8910	210	11	g	g	PROPN
ajst-8910	210	12	,	,	PUNCT
ajst-8910	210	13	peng	peng	PROPN
ajst-8910	210	14	c.	c.	PROPN
ajst-8910	210	15	ocean	ocean	PROPN
ajst-8910	210	16	economy	economy	NOUN
ajst-8910	210	17	and	and	CCONJ
ajst-8910	210	18	fault	fault	VERB
ajst-8910	210	19	detection	detection	NOUN
ajst-8910	210	20	of	of	ADP
ajst-8910	210	21	electric	electric	ADJ
ajst-8910	210	22	submersible	submersible	ADJ
ajst-8910	210	23	pump	pump	NOUN
ajst-8910	210	24	applied	apply	VERB
ajst-8910	210	25	in	in	ADP
ajst-8910	210	26	floating	float	VERB
ajst-8910	210	27	platform	platform	NOUN
ajst-8910	210	28	.	.	PUNCT
ajst-8910	211	1	international	international	ADJ
ajst-8910	211	2	journal	journal	NOUN
ajst-8910	211	3	of	of	ADP
ajst-8910	211	4	e	e	NOUN
ajst-8910	211	5	-	-	NOUN
ajst-8910	211	6	navigation	navigation	ADJ
ajst-8910	211	7	and	and	CCONJ
ajst-8910	211	8	maritime	maritime	ADJ
ajst-8910	211	9	economy	economy	NOUN
ajst-8910	211	10	.	.	PUNCT
ajst-8910	212	1	2017;6(c):37	2017;6(c):37	NUM
ajst-8910	212	2	-	-	SYM
ajst-8910	212	3	43	43	NUM
ajst-8910	212	4	.	.	PUNCT
ajst-8910	213	1	[	[	X
ajst-8910	213	2	3	3	X
ajst-8910	213	3	]	]	X
ajst-8910	213	4	zhao	zhao	PROPN
ajst-8910	213	5	c	c	PROPN
ajst-8910	213	6	,	,	PUNCT
ajst-8910	213	7	wang	wang	PROPN
ajst-8910	213	8	f	f	PROPN
ajst-8910	213	9	,	,	PUNCT
ajst-8910	213	10	gao	gao	PROPN
ajst-8910	213	11	f	f	PROPN
ajst-8910	213	12	,	,	PUNCT
ajst-8910	213	13	zhang	zhang	PROPN
ajst-8910	213	14	y.	y.	PROPN
ajst-8910	213	15	enhanced	enhance	VERB
ajst-8910	213	16	process	process	NOUN
ajst-8910	213	17	comprehension	comprehension	NOUN
ajst-8910	213	18	and	and	CCONJ
ajst-8910	213	19	statistical	statistical	ADJ
ajst-8910	213	20	analysis	analysis	NOUN
ajst-8910	213	21	for	for	ADP
ajst-8910	213	22	slow	slow	ADV
ajst-8910	213	23	-	-	PUNCT
ajst-8910	213	24	varying	vary	VERB
ajst-8910	213	25	batch	batch	NOUN
ajst-8910	213	26	processes	process	NOUN
ajst-8910	213	27	.	.	PUNCT
ajst-8910	214	1	industrial	industrial	PROPN
ajst-8910	214	2	&	&	CCONJ
ajst-8910	214	3	engineering	engineer	VERB
ajst-8910	214	4	chemistry	chemistry	NOUN
ajst-8910	214	5	research	research	NOUN
ajst-8910	214	6	.	.	PUNCT
ajst-8910	215	1	2008;47(24):9996	2008;47(24):9996	NUM
ajst-8910	215	2	-	-	NOUN
ajst-8910	215	3	10008	10008	NUM
ajst-8910	215	4	.	.	PUNCT
ajst-8910	216	1	[	[	X
ajst-8910	216	2	4	4	NUM
ajst-8910	216	3	]	]	X
ajst-8910	216	4	zhao	zhao	PROPN
ajst-8910	216	5	c	c	PROPN
ajst-8910	216	6	,	,	PUNCT
ajst-8910	216	7	gao	gao	PROPN
ajst-8910	216	8	f	f	PROPN
ajst-8910	216	9	,	,	PUNCT
ajst-8910	216	10	wang	wang	PROPN
ajst-8910	216	11	f.	f.	PROPN
ajst-8910	216	12	nonlinear	nonlinear	PROPN
ajst-8910	216	13	batch	batch	NOUN
ajst-8910	216	14	process	process	NOUN
ajst-8910	216	15	monitoring	monitoring	NOUN
ajst-8910	216	16	using	use	VERB
ajst-8910	216	17	phase	phase	NOUN
ajst-8910	216	18	-	-	PUNCT
ajst-8910	216	19	based	base	VERB
ajst-8910	216	20	kernel	kernel	NOUN
ajst-8910	216	21	-	-	PUNCT
ajst-8910	216	22	independent	independent	ADJ
ajst-8910	216	23	component	component	NOUN
ajst-8910	216	24	analysis−principal	analysis−principal	NOUN
ajst-8910	216	25	component	component	NOUN
ajst-8910	216	26	analysis	analysis	NOUN
ajst-8910	216	27	(	(	PUNCT
ajst-8910	216	28	kica−pca	kica−pca	PROPN
ajst-8910	216	29	)	)	PUNCT
ajst-8910	216	30	.	.	PUNCT
ajst-8910	217	1	industrial	industrial	PROPN
ajst-8910	217	2	&	&	CCONJ
ajst-8910	217	3	engineering	engineer	VERB
ajst-8910	217	4	chemistry	chemistry	NOUN
ajst-8910	217	5	research	research	NOUN
ajst-8910	217	6	.	.	PUNCT
ajst-8910	218	1	2009	2009	NUM
ajst-8910	218	2	.	.	PUNCT
ajst-8910	219	1	[	[	X
ajst-8910	219	2	5	5	NUM
ajst-8910	219	3	]	]	X
ajst-8910	219	4	deng	deng	PROPN
ajst-8910	219	5	x	x	PROPN
ajst-8910	219	6	,	,	PUNCT
ajst-8910	219	7	deng	deng	PROPN
ajst-8910	219	8	j.	j.	PROPN
ajst-8910	219	9	incipient	incipient	PROPN
ajst-8910	219	10	fault	fault	NOUN
ajst-8910	219	11	detection	detection	NOUN
ajst-8910	219	12	for	for	ADP
ajst-8910	219	13	chemical	chemical	NOUN
ajst-8910	219	14	processes	process	NOUN
ajst-8910	219	15	using	use	VERB
ajst-8910	219	16	two	two	NUM
ajst-8910	219	17	-	-	PUNCT
ajst-8910	219	18	dimensional	dimensional	ADJ
ajst-8910	219	19	weighted	weighted	ADJ
ajst-8910	219	20	slkpca	slkpca	NOUN
ajst-8910	219	21	.	.	PUNCT
ajst-8910	220	1	industrial	industrial	PROPN
ajst-8910	220	2	&	&	CCONJ
ajst-8910	220	3	engineering	engineer	VERB
ajst-8910	220	4	chemistry	chemistry	NOUN
ajst-8910	220	5	research	research	NOUN
ajst-8910	220	6	.	.	PUNCT
ajst-8910	221	1	2019	2019	NUM
ajst-8910	221	2	.	.	PUNCT
ajst-8910	222	1	[	[	X
ajst-8910	222	2	6	6	NUM
ajst-8910	222	3	]	]	SYM
ajst-8910	222	4	li	li	PROPN
ajst-8910	222	5	g	g	PROPN
ajst-8910	222	6	,	,	PUNCT
ajst-8910	222	7	hu	hu	PROPN
ajst-8910	222	8	y.	y.	PROPN
ajst-8910	222	9	an	an	DET
ajst-8910	222	10	enhanced	enhance	VERB
ajst-8910	222	11	pca	pca	NOUN
ajst-8910	222	12	-	-	PUNCT
ajst-8910	222	13	based	base	VERB
ajst-8910	222	14	chiller	chiller	NOUN
ajst-8910	222	15	sensor	sensor	NOUN
ajst-8910	222	16	fault	fault	NOUN
ajst-8910	222	17	detection	detection	NOUN
ajst-8910	222	18	method	method	NOUN
ajst-8910	222	19	using	use	VERB
ajst-8910	222	20	ensemble	ensemble	ADJ
ajst-8910	222	21	empirical	empirical	ADJ
ajst-8910	222	22	mode	mode	NOUN
ajst-8910	222	23	decomposition	decomposition	NOUN
ajst-8910	222	24	based	base	VERB
ajst-8910	222	25	denoising	denoising	NOUN
ajst-8910	222	26	.	.	PUNCT
ajst-8910	223	1	energy	energy	NOUN
ajst-8910	223	2	&	&	CCONJ
ajst-8910	223	3	buildings	building	NOUN
ajst-8910	223	4	.	.	PUNCT
ajst-8910	224	1	2019;183(jan.):311	2019;183(jan.):311	NUM
ajst-8910	224	2	-	-	SYM
ajst-8910	224	3	24	24	NUM
ajst-8910	224	4	.	.	PUNCT
ajst-8910	225	1	[	[	X
ajst-8910	225	2	7	7	X
ajst-8910	225	3	]	]	X
ajst-8910	225	4	utkin	utkin	PROPN
ajst-8910	225	5	lv	lv	PROPN
ajst-8910	225	6	.	.	PUNCT
ajst-8910	226	1	an	an	DET
ajst-8910	226	2	imprecise	imprecise	ADJ
ajst-8910	226	3	extension	extension	NOUN
ajst-8910	226	4	of	of	ADP
ajst-8910	226	5	svm	svm	ADJ
ajst-8910	226	6	-	-	PUNCT
ajst-8910	226	7	based	base	VERB
ajst-8910	226	8	machine	machine	NOUN
ajst-8910	226	9	learning	learning	NOUN
ajst-8910	226	10	models	model	NOUN
ajst-8910	226	11	.	.	PUNCT
ajst-8910	227	1	neurocomputing	neurocompute	VERB
ajst-8910	227	2	.	.	PUNCT
ajst-8910	228	1	2019;331:18	2019;331:18	NUM
ajst-8910	228	2	-	-	SYM
ajst-8910	228	3	32	32	NUM
ajst-8910	228	4	.	.	PUNCT
ajst-8910	229	1	[	[	X
ajst-8910	229	2	8	8	NUM
ajst-8910	229	3	]	]	PUNCT
ajst-8910	229	4	petridis	petridis	VERB
ajst-8910	229	5	v	v	NOUN
ajst-8910	229	6	,	,	PUNCT
ajst-8910	229	7	kaburlasos	kaburlasos	PROPN
ajst-8910	229	8	vg	vg	PROPN
ajst-8910	229	9	.	.	PUNCT
ajst-8910	230	1	finknn	finknn	PROPN
ajst-8910	230	2	:	:	PUNCT
ajst-8910	230	3	a	a	DET
ajst-8910	230	4	fuzzy	fuzzy	ADJ
ajst-8910	230	5	interval	interval	NOUN
ajst-8910	230	6	number	number	NOUN
ajst-8910	230	7	k	k	NOUN
ajst-8910	230	8	-	-	PUNCT
ajst-8910	230	9	nearest	near	ADJ
ajst-8910	230	10	neighbor	neighbor	NOUN
ajst-8910	230	11	classifier	classifier	NOUN
ajst-8910	230	12	for	for	ADP
ajst-8910	230	13	prediction	prediction	NOUN
ajst-8910	230	14	of	of	ADP
ajst-8910	230	15	sugar	sugar	NOUN
ajst-8910	230	16	production	production	NOUN
ajst-8910	230	17	from	from	ADP
ajst-8910	230	18	populations	population	NOUN
ajst-8910	230	19	of	of	ADP
ajst-8910	230	20	samples	sample	NOUN
ajst-8910	230	21	.	.	PUNCT
ajst-8910	231	1	journal	journal	NOUN
ajst-8910	231	2	of	of	ADP
ajst-8910	231	3	machine	machine	NOUN
ajst-8910	231	4	learning	learn	VERB
ajst-8910	231	5	research	research	NOUN
ajst-8910	231	6	.	.	PUNCT
ajst-8910	232	1	2003;4(1):17	2003;4(1):17	X
ajst-8910	232	2	-	-	SYM
ajst-8910	232	3	37	37	NUM
ajst-8910	232	4	.	.	PUNCT
ajst-8910	233	1	[	[	X
ajst-8910	233	2	9	9	NUM
ajst-8910	233	3	]	]	X
ajst-8910	233	4	ait	ait	NOUN
ajst-8910	233	5	-	-	NOUN
ajst-8910	233	6	izem	izem	PROPN
ajst-8910	233	7	t	t	PROPN
ajst-8910	233	8	,	,	PUNCT
ajst-8910	233	9	harkat	harkat	PROPN
ajst-8910	233	10	mf	mf	PROPN
ajst-8910	233	11	,	,	PUNCT
ajst-8910	233	12	djeghaba	djeghaba	PROPN
ajst-8910	233	13	m	m	PROPN
ajst-8910	233	14	,	,	PUNCT
ajst-8910	233	15	kratz	kratz	PROPN
ajst-8910	233	16	f.	f.	PROPN
ajst-8910	233	17	on	on	ADP
ajst-8910	233	18	the	the	DET
ajst-8910	233	19	application	application	NOUN
ajst-8910	233	20	of	of	ADP
ajst-8910	233	21	interval	interval	NOUN
ajst-8910	233	22	pca	pca	NOUN
ajst-8910	233	23	to	to	PART
ajst-8910	233	24	process	process	VERB
ajst-8910	233	25	monitoring	monitoring	NOUN
ajst-8910	233	26	:	:	PUNCT
ajst-8910	233	27	a	a	DET
ajst-8910	233	28	robust	robust	ADJ
ajst-8910	233	29	strategy	strategy	NOUN
ajst-8910	233	30	for	for	ADP
ajst-8910	233	31	sensor	sensor	NOUN
ajst-8910	233	32	fdi	fdi	NOUN
ajst-8910	233	33	with	with	ADP
ajst-8910	233	34	new	new	ADJ
ajst-8910	233	35	efficient	efficient	ADJ
ajst-8910	233	36	control	control	PROPN
ajst-8910	233	37	statistics	statistic	NOUN
ajst-8910	233	38	.	.	PUNCT
ajst-8910	234	1	journal	journal	PROPN
ajst-8910	234	2	of	of	ADP
ajst-8910	234	3	process	process	NOUN
ajst-8910	234	4	control	control	NOUN
ajst-8910	234	5	.	.	PUNCT
ajst-8910	235	1	2018;63:29	2018;63:29	NUM
ajst-8910	235	2	-	-	SYM
ajst-8910	235	3	46	46	NUM
ajst-8910	235	4	.	.	PUNCT
ajst-8910	236	1	[	[	X
ajst-8910	236	2	10	10	NUM
ajst-8910	236	3	]	]	X
ajst-8910	236	4	lu	lu	PROPN
ajst-8910	236	5	c	c	NOUN
ajst-8910	236	6	,	,	PUNCT
ajst-8910	236	7	feng	feng	PROPN
ajst-8910	236	8	j	j	PROPN
ajst-8910	236	9	,	,	PUNCT
ajst-8910	236	10	chen	chen	PROPN
ajst-8910	236	11	y	y	PROPN
ajst-8910	236	12	,	,	PUNCT
ajst-8910	236	13	liu	liu	PROPN
ajst-8910	236	14	w	w	PROPN
ajst-8910	236	15	,	,	PUNCT
ajst-8910	236	16	lin	lin	PROPN
ajst-8910	236	17	z	z	PROPN
ajst-8910	236	18	,	,	PUNCT
ajst-8910	236	19	yan	yan	PROPN
ajst-8910	236	20	s.	s.	PROPN
ajst-8910	236	21	tensor	tensor	PROPN
ajst-8910	236	22	robust	robust	ADJ
ajst-8910	236	23	principal	principal	ADJ
ajst-8910	236	24	component	component	NOUN
ajst-8910	236	25	analysis	analysis	NOUN
ajst-8910	236	26	with	with	ADP
ajst-8910	236	27	a	a	DET
ajst-8910	236	28	new	new	ADJ
ajst-8910	236	29	tensor	tensor	NOUN
ajst-8910	236	30	nuclear	nuclear	ADJ
ajst-8910	236	31	norm	norm	NOUN
ajst-8910	236	32	.	.	PUNCT
ajst-8910	237	1	ieee	ieee	NOUN
ajst-8910	237	2	transactions	transaction	NOUN
ajst-8910	237	3	on	on	ADP
ajst-8910	237	4	pattern	pattern	NOUN
ajst-8910	237	5	analysis	analysis	NOUN
ajst-8910	237	6	and	and	CCONJ
ajst-8910	237	7	machine	machine	NOUN
ajst-8910	237	8	intelligence	intelligence	NOUN
ajst-8910	237	9	.	.	PUNCT
ajst-8910	238	1	2020;42(4):925	2020;42(4):925	NUM
ajst-8910	238	2	-	-	SYM
ajst-8910	238	3	38	38	NUM
ajst-8910	238	4	.	.	PUNCT
ajst-8910	239	1	[	[	X
ajst-8910	239	2	11	11	NUM
ajst-8910	239	3	]	]	X
ajst-8910	239	4	menini	menini	PROPN
ajst-8910	239	5	l	l	NOUN
ajst-8910	239	6	,	,	PUNCT
ajst-8910	239	7	possieri	possieri	NOUN
ajst-8910	239	8	c	c	NOUN
ajst-8910	239	9	,	,	PUNCT
ajst-8910	239	10	tornambe	tornambe	NOUN
ajst-8910	239	11	a.	a.	NOUN
ajst-8910	239	12	design	design	NOUN
ajst-8910	239	13	of	of	ADP
ajst-8910	239	14	high	high	ADJ
ajst-8910	239	15	-	-	PUNCT
ajst-8910	239	16	gain	gain	NOUN
ajst-8910	239	17	observers	observer	NOUN
ajst-8910	239	18	based	base	VERB
ajst-8910	239	19	on	on	ADP
ajst-8910	239	20	sampled	sample	VERB
ajst-8910	239	21	measurements	measurement	NOUN
ajst-8910	239	22	via	via	ADP
ajst-8910	239	23	the	the	DET
ajst-8910	239	24	interval	interval	NOUN
ajst-8910	239	25	arithmetic	arithmetic	ADJ
ajst-8910	239	26	.	.	PUNCT
ajst-8910	240	1	automatica	automatica	PROPN
ajst-8910	240	2	.	.	PROPN
ajst-8910	240	3	2021(131-	2021(131-	NUM
ajst-8910	240	4	)	)	PUNCT
ajst-8910	240	5	.	.	PUNCT
ajst-8910	241	1	[	[	X
ajst-8910	241	2	12	12	NUM
ajst-8910	241	3	]	]	X
ajst-8910	241	4	das	das	PROPN
ajst-8910	241	5	s	s	PROPN
ajst-8910	241	6	,	,	PUNCT
ajst-8910	241	7	bora	bora	PROPN
ajst-8910	241	8	pk	pk	PROPN
ajst-8910	241	9	,	,	PUNCT
ajst-8910	241	10	gogoi	gogoi	PROPN
ajst-8910	241	11	ak	ak	PROPN
ajst-8910	241	12	,	,	PUNCT
ajst-8910	241	13	editors	editor	NOUN
ajst-8910	241	14	.	.	PUNCT
ajst-8910	242	1	subtractive	subtractive	NOUN
ajst-8910	242	2	clustering	clustering	NOUN
ajst-8910	242	3	of	of	ADP
ajst-8910	242	4	vertices	vertex	NOUN
ajst-8910	242	5	for	for	ADP
ajst-8910	242	6	cpca	cpca	NOUN
ajst-8910	242	7	based	base	VERB
ajst-8910	242	8	animation	animation	NOUN
ajst-8910	242	9	geometry	geometry	NOUN
ajst-8910	242	10	compression	compression	NOUN
ajst-8910	242	11	.	.	PUNCT
ajst-8910	243	1	indian	indian	ADJ
ajst-8910	243	2	conference	conference	NOUN
ajst-8910	243	3	on	on	ADP
ajst-8910	243	4	computer	computer	NOUN
ajst-8910	243	5	vision	vision	NOUN
ajst-8910	243	6	;	;	PUNCT
ajst-8910	243	7	2010	2010	NUM
ajst-8910	243	8	.	.	PUNCT