id	sid	tid	token	lemma	pos
cet-6263	1	1	untitled	untitle	VERB
cet-6263	1	2	a	a	DET
cet-6263	1	3	publication	publication	NOUN
cet-6263	1	4	of	of	ADP
cet-6263	1	5	cchheemmiiccaall	cchheemmiiccaall	NOUN
cet-6263	1	6	eennggiinneeeerriinngg	eennggiinneeeerriinngg	VERB
cet-6263	1	7	ttrraannssaaccttiioonnss	ttrraannssaaccttiioonns	NOUN
cet-6263	1	8	vol	vol	NOUN
cet-6263	1	9	.	.	PROPN
cet-6263	2	1	33	33	NUM
cet-6263	2	2	,	,	PUNCT
cet-6263	2	3	2013	2013	NUM
cet-6263	2	4	the	the	DET
cet-6263	2	5	italian	italian	ADJ
cet-6263	2	6	association	association	NOUN
cet-6263	2	7	of	of	ADP
cet-6263	2	8	chemical	chemical	PROPN
cet-6263	2	9	engineering	engineering	NOUN
cet-6263	2	10	online	online	ADV
cet-6263	2	11	at	at	ADP
cet-6263	2	12	:	:	PUNCT
cet-6263	2	13	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-6263	2	14	guest	guest	NOUN
cet-6263	2	15	editors	editor	NOUN
cet-6263	2	16	:	:	PUNCT
cet-6263	2	17	enrico	enrico	PROPN
cet-6263	2	18	zio	zio	PROPN
cet-6263	2	19	,	,	PUNCT
cet-6263	2	20	piero	piero	PROPN
cet-6263	2	21	baraldi	baraldi	PROPN
cet-6263	2	22	copyright	copyright	NOUN
cet-6263	2	23	©	©	PROPN
cet-6263	2	24	2013	2013	NUM
cet-6263	2	25	,	,	PUNCT
cet-6263	2	26	aidic	aidic	ADJ
cet-6263	2	27	servizi	servizi	PROPN
cet-6263	2	28	s.r.l	s.r.l	NOUN
cet-6263	2	29	.	.	PUNCT
cet-6263	2	30	,	,	PUNCT
cet-6263	2	31	isbn	isbn	PROPN
cet-6263	2	32	978	978	NUM
cet-6263	2	33	-	-	SYM
cet-6263	2	34	88	88	NUM
cet-6263	2	35	-	-	PUNCT
cet-6263	2	36	95608	95608	NUM
cet-6263	2	37	-	-	PUNCT
cet-6263	2	38	24	24	NUM
cet-6263	2	39	-	-	SYM
cet-6263	2	40	2	2	NUM
cet-6263	2	41	;	;	PUNCT
cet-6263	2	42	issn	issn	PROPN
cet-6263	2	43	1974	1974	NUM
cet-6263	2	44	-	-	SYM
cet-6263	2	45	9791	9791	NUM
cet-6263	2	46	rul	rul	NOUN
cet-6263	2	47	estimation	estimation	NOUN
cet-6263	2	48	using	use	VERB
cet-6263	2	49	an	an	DET
cet-6263	2	50	adaptive	adaptive	ADJ
cet-6263	2	51	inverse	inverse	NOUN
cet-6263	2	52	gaussian	gaussian	NOUN
cet-6263	2	53	model	model	NOUN
cet-6263	2	54	wenjia	wenjia	VERB
cet-6263	2	55	xua	xua	PROPN
cet-6263	2	56	,	,	PUNCT
cet-6263	2	57	wenbin	wenbin	AUX
cet-6263	2	58	wangb	wangb	PROPN
cet-6263	2	59	asalford	asalford	PROPN
cet-6263	2	60	business	business	PROPN
cet-6263	2	61	school	school	PROPN
cet-6263	2	62	,	,	PUNCT
cet-6263	2	63	university	university	PROPN
cet-6263	2	64	of	of	ADP
cet-6263	2	65	salford	salford	PROPN
cet-6263	2	66	,	,	PUNCT
cet-6263	2	67	salford	salford	PROPN
cet-6263	2	68	,	,	PUNCT
cet-6263	2	69	m5	m5	PROPN
cet-6263	2	70	4wt	4wt	NOUN
cet-6263	2	71	,	,	PUNCT
cet-6263	2	72	uk	uk	PROPN
cet-6263	2	73	bdongling	bdongle	VERB
cet-6263	2	74	school	school	NOUN
cet-6263	2	75	of	of	ADP
cet-6263	2	76	economics	economic	NOUN
cet-6263	2	77	and	and	CCONJ
cet-6263	2	78	management	management	NOUN
cet-6263	2	79	,	,	PUNCT
cet-6263	2	80	university	university	NOUN
cet-6263	2	81	of	of	ADP
cet-6263	2	82	science	science	NOUN
cet-6263	2	83	and	and	CCONJ
cet-6263	2	84	technology	technology	PROPN
cet-6263	2	85	beijing	beijing	PROPN
cet-6263	2	86	,	,	PUNCT
cet-6263	2	87	30	30	NUM
cet-6263	2	88	xueyuan	xueyuan	PROPN
cet-6263	2	89	road	road	PROPN
cet-6263	2	90	haidian	haidian	PROPN
cet-6263	2	91	,	,	PUNCT
cet-6263	2	92	beijing	beijing	PROPN
cet-6263	2	93	,	,	PUNCT
cet-6263	2	94	china	china	PROPN
cet-6263	2	95	wangwb@ustb.edu.cn	wangwb@ustb.edu.cn	PROPN
cet-6263	2	96	in	in	ADP
cet-6263	2	97	this	this	DET
cet-6263	2	98	paper	paper	NOUN
cet-6263	2	99	,	,	PUNCT
cet-6263	2	100	an	an	DET
cet-6263	2	101	adaptive	adaptive	ADJ
cet-6263	2	102	inverse	inverse	NOUN
cet-6263	2	103	gaussian	gaussian	NOUN
cet-6263	2	104	stochastic	stochastic	NOUN
cet-6263	2	105	process	process	NOUN
cet-6263	2	106	is	be	AUX
cet-6263	2	107	developed	develop	VERB
cet-6263	2	108	to	to	PART
cet-6263	2	109	characterize	characterize	VERB
cet-6263	2	110	the	the	DET
cet-6263	2	111	degradation	degradation	NOUN
cet-6263	2	112	process	process	NOUN
cet-6263	2	113	of	of	ADP
cet-6263	2	114	condition	condition	NOUN
cet-6263	2	115	monitored	monitor	VERB
cet-6263	2	116	components	component	NOUN
cet-6263	2	117	.	.	PUNCT
cet-6263	3	1	the	the	DET
cet-6263	3	2	knowledge	knowledge	NOUN
cet-6263	3	3	of	of	ADP
cet-6263	3	4	the	the	DET
cet-6263	3	5	degradation	degradation	NOUN
cet-6263	3	6	process	process	NOUN
cet-6263	3	7	is	be	AUX
cet-6263	3	8	updated	update	VERB
cet-6263	3	9	through	through	ADP
cet-6263	3	10	the	the	DET
cet-6263	3	11	parameter	parameter	NOUN
cet-6263	3	12	of	of	ADP
cet-6263	3	13	the	the	DET
cet-6263	3	14	process	process	NOUN
cet-6263	3	15	when	when	SCONJ
cet-6263	3	16	new	new	ADJ
cet-6263	3	17	observations	observation	NOUN
cet-6263	3	18	are	be	AUX
cet-6263	3	19	available	available	ADJ
cet-6263	3	20	.	.	PUNCT
cet-6263	4	1	the	the	DET
cet-6263	4	2	updating	updating	NOUN
cet-6263	4	3	is	be	AUX
cet-6263	4	4	performed	perform	VERB
cet-6263	4	5	through	through	ADP
cet-6263	4	6	a	a	DET
cet-6263	4	7	general	general	ADJ
cet-6263	4	8	bayesian	bayesian	NOUN
cet-6263	4	9	filtering	filtering	NOUN
cet-6263	4	10	process	process	NOUN
cet-6263	4	11	within	within	ADP
cet-6263	4	12	a	a	DET
cet-6263	4	13	state	state	NOUN
cet-6263	4	14	space	space	NOUN
cet-6263	4	15	model	model	NOUN
cet-6263	4	16	setting	setting	NOUN
cet-6263	4	17	.	.	PUNCT
cet-6263	5	1	the	the	DET
cet-6263	5	2	proposed	propose	VERB
cet-6263	5	3	adaptive	adaptive	ADJ
cet-6263	5	4	model	model	NOUN
cet-6263	5	5	is	be	AUX
cet-6263	5	6	history	history	NOUN
cet-6263	5	7	-	-	PUNCT
cet-6263	5	8	dependent	dependent	ADJ
cet-6263	5	9	and	and	CCONJ
cet-6263	5	10	can	can	AUX
cet-6263	5	11	adjust	adjust	VERB
cet-6263	5	12	itself	itself	PRON
cet-6263	5	13	to	to	ADP
cet-6263	5	14	the	the	DET
cet-6263	5	15	sudden	sudden	ADJ
cet-6263	5	16	changes	change	NOUN
cet-6263	5	17	in	in	ADP
cet-6263	5	18	degradation	degradation	NOUN
cet-6263	5	19	signals	signal	NOUN
cet-6263	5	20	.	.	PUNCT
cet-6263	6	1	the	the	DET
cet-6263	6	2	numerical	numerical	PROPN
cet-6263	6	3	case	case	NOUN
cet-6263	6	4	study	study	NOUN
cet-6263	6	5	shows	show	VERB
cet-6263	6	6	that	that	SCONJ
cet-6263	6	7	the	the	DET
cet-6263	6	8	variance	variance	NOUN
cet-6263	6	9	of	of	ADP
cet-6263	6	10	the	the	DET
cet-6263	6	11	rul	rul	NOUN
cet-6263	6	12	distribution	distribution	NOUN
cet-6263	6	13	obtained	obtain	VERB
cet-6263	6	14	from	from	ADP
cet-6263	6	15	the	the	DET
cet-6263	6	16	adaptive	adaptive	ADJ
cet-6263	6	17	model	model	NOUN
cet-6263	6	18	is	be	AUX
cet-6263	6	19	less	less	ADJ
cet-6263	6	20	than	than	ADP
cet-6263	6	21	that	that	PRON
cet-6263	6	22	of	of	ADP
cet-6263	6	23	the	the	DET
cet-6263	6	24	conventional	conventional	ADJ
cet-6263	6	25	inverse	inverse	NOUN
cet-6263	6	26	gaussian	gaussian	NOUN
cet-6263	6	27	model	model	NOUN
cet-6263	6	28	and	and	CCONJ
cet-6263	6	29	the	the	DET
cet-6263	6	30	predictive	predictive	ADJ
cet-6263	6	31	accuracy	accuracy	NOUN
cet-6263	6	32	is	be	AUX
cet-6263	6	33	improved	improve	VERB
cet-6263	6	34	by	by	ADP
cet-6263	6	35	using	use	VERB
cet-6263	6	36	the	the	DET
cet-6263	6	37	adaptive	adaptive	ADJ
cet-6263	6	38	model	model	NOUN
cet-6263	6	39	in	in	ADP
cet-6263	6	40	terms	term	NOUN
cet-6263	6	41	of	of	ADP
cet-6263	6	42	tmse	tmse	ADJ
cet-6263	6	43	.	.	PUNCT
cet-6263	7	1	to	to	PART
cet-6263	7	2	validate	validate	VERB
cet-6263	7	3	our	our	PRON
cet-6263	7	4	adaptive	adaptive	ADJ
cet-6263	7	5	model	model	NOUN
cet-6263	7	6	further	far	ADV
cet-6263	7	7	,	,	PUNCT
cet-6263	7	8	we	we	PRON
cet-6263	7	9	conduct	conduct	VERB
cet-6263	7	10	a	a	DET
cet-6263	7	11	model	model	NOUN
cet-6263	7	12	prediction	prediction	NOUN
cet-6263	7	13	accuracy	accuracy	NOUN
cet-6263	7	14	test	test	NOUN
cet-6263	7	15	.	.	PUNCT
cet-6263	8	1	our	our	PRON
cet-6263	8	2	test	test	NOUN
cet-6263	8	3	result	result	NOUN
cet-6263	8	4	enables	enable	VERB
cet-6263	8	5	us	we	PRON
cet-6263	8	6	to	to	PART
cet-6263	8	7	conclude	conclude	VERB
cet-6263	8	8	that	that	SCONJ
cet-6263	8	9	our	our	PRON
cet-6263	8	10	model	model	NOUN
cet-6263	8	11	is	be	AUX
cet-6263	8	12	stable	stable	ADJ
cet-6263	8	13	,	,	PUNCT
cet-6263	8	14	robust	robust	ADJ
cet-6263	8	15	and	and	CCONJ
cet-6263	8	16	beneficial	beneficial	ADJ
cet-6263	8	17	for	for	ADP
cet-6263	8	18	the	the	DET
cet-6263	8	19	application	application	NOUN
cet-6263	8	20	in	in	ADP
cet-6263	8	21	prognostics	prognostic	NOUN
cet-6263	8	22	and	and	CCONJ
cet-6263	8	23	health	health	NOUN
cet-6263	8	24	management	management	NOUN
cet-6263	8	25	of	of	ADP
cet-6263	8	26	systems	system	NOUN
cet-6263	8	27	.	.	PUNCT
cet-6263	9	1	1	1	X
cet-6263	9	2	.	.	X
cet-6263	9	3	introduction	introduction	NOUN
cet-6263	9	4	with	with	ADP
cet-6263	9	5	the	the	DET
cet-6263	9	6	appearance	appearance	NOUN
cet-6263	9	7	of	of	ADP
cet-6263	9	8	large	large	ADJ
cet-6263	9	9	industrial	industrial	ADJ
cet-6263	9	10	systems	system	NOUN
cet-6263	9	11	covering	cover	VERB
cet-6263	9	12	wide	wide	ADJ
cet-6263	9	13	areas	area	NOUN
cet-6263	9	14	or	or	CCONJ
cet-6263	9	15	large	large	ADJ
cet-6263	9	16	populations	population	NOUN
cet-6263	9	17	,	,	PUNCT
cet-6263	9	18	such	such	ADJ
cet-6263	9	19	as	as	ADP
cet-6263	9	20	electrical	electrical	ADJ
cet-6263	9	21	power	power	NOUN
cet-6263	9	22	systems	system	NOUN
cet-6263	9	23	,	,	PUNCT
cet-6263	9	24	marine	marine	NOUN
cet-6263	9	25	and	and	CCONJ
cet-6263	9	26	aviation	aviation	NOUN
cet-6263	9	27	systems	system	NOUN
cet-6263	9	28	,	,	PUNCT
cet-6263	9	29	prognostics	prognostic	NOUN
cet-6263	9	30	has	have	AUX
cet-6263	9	31	become	become	VERB
cet-6263	9	32	increasingly	increasingly	ADV
cet-6263	9	33	important	important	ADJ
cet-6263	9	34	for	for	ADP
cet-6263	9	35	optimising	optimise	VERB
cet-6263	9	36	the	the	DET
cet-6263	9	37	operation	operation	NOUN
cet-6263	9	38	of	of	ADP
cet-6263	9	39	these	these	DET
cet-6263	9	40	systems	system	NOUN
cet-6263	9	41	and	and	CCONJ
cet-6263	9	42	their	their	PRON
cet-6263	9	43	critical	critical	ADJ
cet-6263	9	44	components	component	NOUN
cet-6263	9	45	in	in	ADP
cet-6263	9	46	terms	term	NOUN
cet-6263	9	47	of	of	ADP
cet-6263	9	48	higher	high	ADJ
cet-6263	9	49	reliability	reliability	NOUN
cet-6263	9	50	,	,	PUNCT
cet-6263	9	51	less	less	ADJ
cet-6263	9	52	cost	cost	NOUN
cet-6263	9	53	,	,	PUNCT
cet-6263	9	54	higher	high	ADJ
cet-6263	9	55	production	production	NOUN
cet-6263	9	56	quality	quality	NOUN
cet-6263	9	57	,	,	PUNCT
cet-6263	9	58	better	well	ADJ
cet-6263	9	59	inventory	inventory	NOUN
cet-6263	9	60	planning	planning	NOUN
cet-6263	9	61	and	and	CCONJ
cet-6263	9	62	more	more	ADV
cet-6263	9	63	effective	effective	ADJ
cet-6263	9	64	reuse	reuse	NOUN
cet-6263	9	65	of	of	ADP
cet-6263	9	66	industrial	industrial	ADJ
cet-6263	9	67	resources	resource	NOUN
cet-6263	9	68	(	(	PUNCT
cet-6263	9	69	jardine	jardine	PROPN
cet-6263	9	70	et	et	PROPN
cet-6263	9	71	al	al	PROPN
cet-6263	9	72	.	.	PROPN
cet-6263	10	1	(	(	PUNCT
cet-6263	10	2	2006	2006	NUM
cet-6263	10	3	)	)	PUNCT
cet-6263	10	4	)	)	PUNCT
cet-6263	10	5	.	.	PUNCT
cet-6263	11	1	a	a	DET
cet-6263	11	2	timely	timely	ADJ
cet-6263	11	3	and	and	CCONJ
cet-6263	11	4	correct	correct	ADJ
cet-6263	11	5	prognostic	prognostic	ADJ
cet-6263	11	6	method	method	NOUN
cet-6263	11	7	could	could	AUX
cet-6263	11	8	assist	assist	VERB
cet-6263	11	9	the	the	DET
cet-6263	11	10	selection	selection	NOUN
cet-6263	11	11	of	of	ADP
cet-6263	11	12	effective	effective	ADJ
cet-6263	11	13	condition	condition	NOUN
cet-6263	11	14	based	base	VERB
cet-6263	11	15	strategies	strategy	NOUN
cet-6263	11	16	for	for	ADP
cet-6263	11	17	industrial	industrial	ADJ
cet-6263	11	18	purposes	purpose	NOUN
cet-6263	11	19	,	,	PUNCT
cet-6263	11	20	especially	especially	ADV
cet-6263	11	21	for	for	ADP
cet-6263	11	22	vital	vital	ADJ
cet-6263	11	23	or	or	CCONJ
cet-6263	11	24	critical	critical	ADJ
cet-6263	11	25	systems	system	NOUN
cet-6263	11	26	(	(	PUNCT
cet-6263	11	27	pecht	pecht	NOUN
cet-6263	11	28	(	(	PUNCT
cet-6263	11	29	2008	2008	NUM
cet-6263	11	30	)	)	PUNCT
cet-6263	11	31	)	)	PUNCT
cet-6263	11	32	.	.	PUNCT
cet-6263	12	1	an	an	DET
cet-6263	12	2	effective	effective	ADJ
cet-6263	12	3	prognostic	prognostic	ADJ
cet-6263	12	4	strategy	strategy	NOUN
cet-6263	12	5	usually	usually	ADV
cet-6263	12	6	involves	involve	VERB
cet-6263	12	7	the	the	DET
cet-6263	12	8	accurate	accurate	ADJ
cet-6263	12	9	prediction	prediction	NOUN
cet-6263	12	10	of	of	ADP
cet-6263	12	11	residual	residual	ADJ
cet-6263	12	12	useful	useful	ADJ
cet-6263	12	13	life	life	NOUN
cet-6263	12	14	(	(	PUNCT
cet-6263	12	15	rul	rul	NOUN
cet-6263	12	16	)	)	PUNCT
cet-6263	12	17	for	for	ADP
cet-6263	12	18	a	a	DET
cet-6263	12	19	system	system	NOUN
cet-6263	12	20	under	under	ADP
cet-6263	12	21	investigation	investigation	NOUN
cet-6263	12	22	.	.	PUNCT
cet-6263	13	1	stochastic	stochastic	ADJ
cet-6263	13	2	processes	process	NOUN
cet-6263	13	3	have	have	AUX
cet-6263	13	4	been	be	AUX
cet-6263	13	5	used	use	VERB
cet-6263	13	6	widely	widely	ADV
cet-6263	13	7	for	for	ADP
cet-6263	13	8	modelling	model	VERB
cet-6263	13	9	degradation	degradation	NOUN
cet-6263	13	10	because	because	SCONJ
cet-6263	13	11	of	of	ADP
cet-6263	13	12	uncertainty	uncertainty	NOUN
cet-6263	13	13	relating	relate	VERB
cet-6263	13	14	to	to	ADP
cet-6263	13	15	the	the	DET
cet-6263	13	16	nature	nature	NOUN
cet-6263	13	17	of	of	ADP
cet-6263	13	18	system	system	NOUN
cet-6263	13	19	deterioration	deterioration	NOUN
cet-6263	13	20	(	(	PUNCT
cet-6263	13	21	engel	engel	PROPN
cet-6263	13	22	et	et	PROPN
cet-6263	13	23	al	al	PROPN
cet-6263	13	24	.	.	PROPN
cet-6263	13	25	,	,	PUNCT
cet-6263	13	26	2000	2000	NUM
cet-6263	13	27	)	)	PUNCT
cet-6263	13	28	.	.	PUNCT
cet-6263	14	1	the	the	DET
cet-6263	14	2	rul	rul	NOUN
cet-6263	14	3	of	of	ADP
cet-6263	14	4	such	such	DET
cet-6263	14	5	a	a	DET
cet-6263	14	6	system	system	NOUN
cet-6263	14	7	can	can	AUX
cet-6263	14	8	be	be	AUX
cet-6263	14	9	solved	solve	VERB
cet-6263	14	10	through	through	ADP
cet-6263	14	11	finding	find	VERB
cet-6263	14	12	the	the	DET
cet-6263	14	13	first	first	ADJ
cet-6263	14	14	passage	passage	NOUN
cet-6263	14	15	time	time	NOUN
cet-6263	14	16	(	(	PUNCT
cet-6263	14	17	fpt	fpt	PROPN
cet-6263	14	18	)	)	PUNCT
cet-6263	14	19	of	of	ADP
cet-6263	14	20	the	the	DET
cet-6263	14	21	degradation	degradation	NOUN
cet-6263	14	22	process	process	NOUN
cet-6263	14	23	.	.	PUNCT
cet-6263	15	1	the	the	DET
cet-6263	15	2	inverse	inverse	ADJ
cet-6263	15	3	gaussian	gaussian	NOUN
cet-6263	15	4	(	(	PUNCT
cet-6263	15	5	ig	ig	NOUN
cet-6263	15	6	)	)	PUNCT
cet-6263	15	7	process	process	NOUN
cet-6263	15	8	is	be	AUX
cet-6263	15	9	best	well	ADV
cet-6263	15	10	known	know	VERB
cet-6263	15	11	as	as	ADP
cet-6263	15	12	corresponding	correspond	VERB
cet-6263	15	13	to	to	ADP
cet-6263	15	14	the	the	DET
cet-6263	15	15	first	first	ADJ
cet-6263	15	16	passage	passage	NOUN
cet-6263	15	17	time	time	NOUN
cet-6263	15	18	of	of	ADP
cet-6263	15	19	a	a	DET
cet-6263	15	20	brownian	brownian	ADJ
cet-6263	15	21	motion	motion	NOUN
cet-6263	15	22	with	with	ADP
cet-6263	15	23	drift	drift	NOUN
cet-6263	15	24	.	.	PUNCT
cet-6263	16	1	nevertheless	nevertheless	ADV
cet-6263	16	2	,	,	PUNCT
cet-6263	16	3	the	the	DET
cet-6263	16	4	utilization	utilization	NOUN
cet-6263	16	5	of	of	ADP
cet-6263	16	6	the	the	DET
cet-6263	16	7	ig	ig	PROPN
cet-6263	16	8	process	process	NOUN
cet-6263	16	9	to	to	PART
cet-6263	16	10	model	model	VERB
cet-6263	16	11	degradation	degradation	NOUN
cet-6263	16	12	has	have	AUX
cet-6263	16	13	not	not	PART
cet-6263	16	14	drawn	draw	VERB
cet-6263	16	15	much	much	ADJ
cet-6263	16	16	attention	attention	NOUN
cet-6263	16	17	.	.	PUNCT
cet-6263	17	1	only	only	ADV
cet-6263	17	2	wang	wang	PROPN
cet-6263	17	3	and	and	CCONJ
cet-6263	17	4	xu	xu	PROPN
cet-6263	17	5	(	(	PUNCT
cet-6263	17	6	2010	2010	NUM
cet-6263	17	7	)	)	PUNCT
cet-6263	17	8	appeared	appear	VERB
cet-6263	17	9	to	to	PART
cet-6263	17	10	use	use	VERB
cet-6263	17	11	an	an	DET
cet-6263	17	12	ig	ig	PROPN
cet-6263	17	13	process	process	NOUN
cet-6263	17	14	to	to	PART
cet-6263	17	15	describe	describe	VERB
cet-6263	17	16	component	component	NOUN
cet-6263	17	17	degradation	degradation	NOUN
cet-6263	17	18	for	for	ADP
cet-6263	17	19	the	the	DET
cet-6263	17	20	purpose	purpose	NOUN
cet-6263	17	21	of	of	ADP
cet-6263	17	22	time	time	NOUN
cet-6263	17	23	to	to	ADP
cet-6263	17	24	failure	failure	NOUN
cet-6263	17	25	prediction	prediction	NOUN
cet-6263	17	26	.	.	PUNCT
cet-6263	18	1	however	however	ADV
cet-6263	18	2	,	,	PUNCT
cet-6263	18	3	in	in	ADP
cet-6263	18	4	their	their	PRON
cet-6263	18	5	paper	paper	NOUN
cet-6263	18	6	,	,	PUNCT
cet-6263	18	7	they	they	PRON
cet-6263	18	8	considered	consider	VERB
cet-6263	18	9	predicting	predict	VERB
cet-6263	18	10	the	the	DET
cet-6263	18	11	rul	rul	NOUN
cet-6263	18	12	using	use	VERB
cet-6263	18	13	only	only	ADJ
cet-6263	18	14	current	current	ADJ
cet-6263	18	15	degradation	degradation	NOUN
cet-6263	18	16	information	information	NOUN
cet-6263	18	17	and	and	CCONJ
cet-6263	18	18	did	do	AUX
cet-6263	18	19	not	not	PART
cet-6263	18	20	investigate	investigate	VERB
cet-6263	18	21	the	the	DET
cet-6263	18	22	impact	impact	NOUN
cet-6263	18	23	of	of	ADP
cet-6263	18	24	past	past	ADJ
cet-6263	18	25	cm	cm	NOUN
cet-6263	18	26	information	information	NOUN
cet-6263	18	27	on	on	ADP
cet-6263	18	28	the	the	DET
cet-6263	18	29	prediction	prediction	NOUN
cet-6263	18	30	of	of	ADP
cet-6263	18	31	rul	rul	NOUN
cet-6263	18	32	.	.	PUNCT
cet-6263	19	1	this	this	DET
cet-6263	19	2	issue	issue	NOUN
cet-6263	19	3	has	have	AUX
cet-6263	19	4	been	be	AUX
cet-6263	19	5	addressed	address	VERB
cet-6263	19	6	both	both	CCONJ
cet-6263	19	7	in	in	ADP
cet-6263	19	8	si	si	PROPN
cet-6263	19	9	et	et	PROPN
cet-6263	19	10	al	al	PROPN
cet-6263	19	11	.	.	PROPN
cet-6263	20	1	(	(	PUNCT
cet-6263	20	2	2011a	2011a	NUM
cet-6263	20	3	)	)	PUNCT
cet-6263	20	4	and	and	CCONJ
cet-6263	20	5	wang	wang	PROPN
cet-6263	20	6	et	et	PROPN
cet-6263	20	7	al	al	PROPN
cet-6263	20	8	.	.	PROPN
cet-6263	21	1	(	(	PUNCT
cet-6263	21	2	2011	2011	NUM
cet-6263	21	3	)	)	PUNCT
cet-6263	21	4	,	,	PUNCT
cet-6263	21	5	but	but	CCONJ
cet-6263	21	6	not	not	PART
cet-6263	21	7	in	in	ADP
cet-6263	21	8	the	the	DET
cet-6263	21	9	context	context	NOUN
cet-6263	21	10	of	of	ADP
cet-6263	21	11	ig	ig	PROPN
cet-6263	21	12	processes	process	NOUN
cet-6263	21	13	.	.	PUNCT
cet-6263	22	1	however	however	ADV
cet-6263	22	2	they	they	PRON
cet-6263	22	3	have	have	AUX
cet-6263	22	4	demonstrated	demonstrate	VERB
cet-6263	22	5	that	that	SCONJ
cet-6263	22	6	using	use	VERB
cet-6263	22	7	both	both	PRON
cet-6263	22	8	past	past	NOUN
cet-6263	22	9	and	and	CCONJ
cet-6263	22	10	current	current	ADJ
cet-6263	22	11	cm	cm	NOUN
cet-6263	22	12	information	information	NOUN
cet-6263	22	13	is	be	AUX
cet-6263	22	14	critical	critical	ADJ
cet-6263	22	15	to	to	ADP
cet-6263	22	16	the	the	DET
cet-6263	22	17	accuracy	accuracy	NOUN
cet-6263	22	18	of	of	ADP
cet-6263	22	19	prognosis	prognosis	NOUN
cet-6263	22	20	.	.	PUNCT
cet-6263	23	1	therefore	therefore	ADV
cet-6263	23	2	,	,	PUNCT
cet-6263	23	3	we	we	PRON
cet-6263	23	4	believe	believe	VERB
cet-6263	23	5	it	it	PRON
cet-6263	23	6	is	be	AUX
cet-6263	23	7	necessary	necessary	ADJ
cet-6263	23	8	to	to	PART
cet-6263	23	9	make	make	VERB
cet-6263	23	10	the	the	DET
cet-6263	23	11	ig	ig	PROPN
cet-6263	23	12	degradation	degradation	NOUN
cet-6263	23	13	process	process	NOUN
cet-6263	23	14	adaptive	adaptive	ADJ
cet-6263	23	15	to	to	ADP
cet-6263	23	16	past	past	ADJ
cet-6263	23	17	information	information	NOUN
cet-6263	23	18	for	for	ADP
cet-6263	23	19	the	the	DET
cet-6263	23	20	purpose	purpose	NOUN
cet-6263	23	21	of	of	ADP
cet-6263	23	22	rul	rul	NOUN
cet-6263	23	23	prognosis	prognosis	NOUN
cet-6263	23	24	.	.	PUNCT
cet-6263	24	1	2	2	X
cet-6263	24	2	.	.	X
cet-6263	24	3	adaptive	adaptive	ADJ
cet-6263	24	4	degradation	degradation	NOUN
cet-6263	24	5	modelling	modelling	NOUN
cet-6263	24	6	using	use	VERB
cet-6263	24	7	an	an	DET
cet-6263	24	8	inverse	inverse	ADJ
cet-6263	24	9	gaussian	gaussian	NOUN
cet-6263	24	10	process	process	NOUN
cet-6263	24	11	2.1	2.1	NUM
cet-6263	24	12	inverse	inverse	NOUN
cet-6263	24	13	gaussian	gaussian	NOUN
cet-6263	24	14	process	process	NOUN
cet-6263	24	15	an	an	DET
cet-6263	24	16	inverse	inverse	ADJ
cet-6263	24	17	gaussian	gaussian	NOUN
cet-6263	24	18	process	process	NOUN
cet-6263	24	19	is	be	AUX
cet-6263	24	20	a	a	DET
cet-6263	24	21	stochastic	stochastic	ADJ
cet-6263	24	22	process	process	NOUN
cet-6263	24	23	with	with	ADP
cet-6263	24	24	independent	independent	ADJ
cet-6263	24	25	inverse	inverse	NOUN
cet-6263	24	26	gaussian	gaussian	NOUN
cet-6263	24	27	distributed	distribute	VERB
cet-6263	24	28	increments	increment	NOUN
cet-6263	24	29	.	.	PUNCT
cet-6263	25	1	we	we	PRON
cet-6263	25	2	now	now	ADV
cet-6263	25	3	define	define	VERB
cet-6263	25	4	an	an	DET
cet-6263	25	5	inverse	inverse	ADJ
cet-6263	25	6	gaussian	gaussian	NOUN
cet-6263	25	7	process	process	NOUN
cet-6263	25	8	as	as	SCONJ
cet-6263	25	9	described	describe	VERB
cet-6263	25	10	in	in	ADP
cet-6263	25	11	chhikara	chhikara	NOUN
cet-6263	25	12	and	and	CCONJ
cet-6263	25	13	folks	folk	NOUN
cet-6263	25	14	(	(	PUNCT
cet-6263	25	15	1989	1989	NUM
cet-6263	25	16	)	)	PUNCT
cet-6263	25	17	,	,	PUNCT
cet-6263	25	18	with	with	ADP
cet-6263	25	19	doi	doi	NOUN
cet-6263	25	20	:	:	PUNCT
cet-6263	25	21	10.3303	10.3303	NUM
cet-6263	25	22	/	/	SYM
cet-6263	25	23	cet1333056	cet1333056	NOUN
cet-6263	25	24	please	please	INTJ
cet-6263	25	25	cite	cite	VERB
cet-6263	25	26	this	this	DET
cet-6263	25	27	article	article	NOUN
cet-6263	25	28	as	as	ADP
cet-6263	25	29	:	:	PUNCT
cet-6263	25	30	xu	xu	PROPN
cet-6263	25	31	w.	w.	PROPN
cet-6263	25	32	,	,	PUNCT
cet-6263	25	33	wang	wang	PROPN
cet-6263	25	34	w.	w.	PROPN
cet-6263	25	35	,	,	PUNCT
cet-6263	25	36	2013	2013	NUM
cet-6263	25	37	,	,	PUNCT
cet-6263	25	38	rul	rul	NOUN
cet-6263	25	39	estimation	estimation	NOUN
cet-6263	25	40	using	use	VERB
cet-6263	25	41	an	an	DET
cet-6263	25	42	adaptive	adaptive	ADJ
cet-6263	25	43	inverse	inverse	NOUN
cet-6263	25	44	gaussian	gaussian	NOUN
cet-6263	25	45	model	model	NOUN
cet-6263	25	46	,	,	PUNCT
cet-6263	25	47	chemical	chemical	ADJ
cet-6263	25	48	engineering	engineering	NOUN
cet-6263	25	49	transactions	transaction	NOUN
cet-6263	25	50	,	,	PUNCT
cet-6263	25	51	33	33	NUM
cet-6263	25	52	,	,	PUNCT
cet-6263	25	53	331	331	NUM
cet-6263	25	54	-	-	SYM
cet-6263	25	55	336	336	NUM
cet-6263	25	56	doi	doi	NOUN
cet-6263	25	57	:	:	PUNCT
cet-6263	25	58	10.3303	10.3303	NUM
cet-6263	25	59	/	/	SYM
cet-6263	25	60	cet1333056	cet1333056	NOUN
cet-6263	25	61	331	331	NUM
cet-6263	25	62	mean	mean	ADJ
cet-6263	25	63	parameter	parameter	PROPN
cet-6263	25	64	bt	bt	NOUN
cet-6263	25	65	and	and	CCONJ
cet-6263	25	66	scale	scale	NOUN
cet-6263	25	67	parameter	parameter	NOUN
cet-6263	25	68	2tλ	2tλ	NOUN
cet-6263	25	69	,	,	PUNCT
cet-6263	25	70	as	as	ADP
cet-6263	25	71	a	a	DET
cet-6263	25	72	stochastic	stochastic	ADJ
cet-6263	25	73	process	process	NOUN
cet-6263	25	74	{	{	PUNCT
cet-6263	25	75	,	,	PUNCT
cet-6263	25	76	0}tx	0}tx	NOUN
cet-6263	25	77	t	t	PROPN
cet-6263	25	78	≥	≥	NUM
cet-6263	25	79	with	with	ADP
cet-6263	25	80	the	the	DET
cet-6263	25	81	following	follow	VERB
cet-6263	25	82	properties	property	NOUN
cet-6263	25	83	:	:	PUNCT
cet-6263	25	84	1	1	NUM
cet-6263	25	85	.	.	NOUN
cet-6263	25	86	0	0	NUM
cet-6263	25	87	0x	0x	NOUN
cet-6263	25	88	=	=	PUNCT
cet-6263	25	89	with	with	ADP
cet-6263	25	90	probability	probability	NOUN
cet-6263	25	91	one	one	NUM
cet-6263	25	92	;	;	PUNCT
cet-6263	25	93	2	2	X
cet-6263	25	94	.	.	X
cet-6263	25	95	tx	tx	PROPN
cet-6263	25	96	has	have	VERB
cet-6263	25	97	independent	independent	ADJ
cet-6263	25	98	increments	increment	NOUN
cet-6263	25	99	,	,	PUNCT
cet-6263	25	100	so	so	SCONJ
cet-6263	25	101	that	that	SCONJ
cet-6263	25	102	for	for	ADP
cet-6263	25	103	every	every	DET
cet-6263	25	104	pair	pair	NOUN
cet-6263	25	105	of	of	ADP
cet-6263	25	106	disjoint	disjoint	NOUN
cet-6263	25	107	intervals	interval	NOUN
cet-6263	25	108	1	1	NUM
cet-6263	25	109	2	2	NUM
cet-6263	25	110	(	(	PUNCT
cet-6263	25	111	,	,	PUNCT
cet-6263	25	112	)	)	PUNCT
cet-6263	25	113	t	t	PROPN
cet-6263	25	114	t	t	NOUN
cet-6263	25	115	and	and	CCONJ
cet-6263	25	116	3	3	NUM
cet-6263	25	117	4	4	NUM
cet-6263	25	118	(	(	PUNCT
cet-6263	25	119	,	,	PUNCT
cet-6263	25	120	)	)	PUNCT
cet-6263	25	121	t	t	PROPN
cet-6263	25	122	t	t	NOUN
cet-6263	25	123	with	with	ADP
cet-6263	25	124	1	1	NUM
cet-6263	25	125	2	2	NUM
cet-6263	25	126	3	3	NUM
cet-6263	25	127	4	4	NUM
cet-6263	25	128	t	t	NOUN
cet-6263	25	129	t	t	PROPN
cet-6263	25	130	t	t	PROPN
cet-6263	25	131	t	t	PROPN
cet-6263	25	132	<	<	X
cet-6263	25	133	<	<	X
cet-6263	25	134	<	<	X
cet-6263	25	135	,	,	PUNCT
cet-6263	25	136	the	the	DET
cet-6263	25	137	random	random	ADJ
cet-6263	25	138	variables	variable	NOUN
cet-6263	25	139	2	2	NUM
cet-6263	25	140	1	1	NUM
cet-6263	25	141	t	t	NOUN
cet-6263	25	142	tx	tx	PROPN
cet-6263	25	143	x−	x−	PROPN
cet-6263	25	144	and	and	CCONJ
cet-6263	25	145	4	4	NUM
cet-6263	25	146	3	3	NUM
cet-6263	25	147	t	t	NOUN
cet-6263	25	148	tx	tx	PROPN
cet-6263	25	149	x−	x−	PROPN
cet-6263	25	150	are	be	AUX
cet-6263	25	151	independent	independent	ADJ
cet-6263	25	152	;	;	PUNCT
cet-6263	25	153	3	3	X
cet-6263	25	154	.	.	X
cet-6263	26	1	each	each	DET
cet-6263	26	2	increment	increment	NOUN
cet-6263	26	3	tx	tx	PROPN
cet-6263	26	4	xτ	xτ	PROPN
cet-6263	26	5	−	−	PROPN
cet-6263	26	6	has	have	VERB
cet-6263	26	7	an	an	DET
cet-6263	26	8	inverse	inverse	ADJ
cet-6263	26	9	gaussian	gaussian	ADJ
cet-6263	26	10	distribution	distribution	NOUN
cet-6263	26	11	with	with	ADP
cet-6263	26	12	mean	mean	NOUN
cet-6263	26	13	(	(	PUNCT
cet-6263	26	14	)	)	PUNCT
cet-6263	26	15	b	b	NOUN
cet-6263	26	16	tτ	tτ	NOUN
cet-6263	26	17	−	−	NOUN
cet-6263	26	18	and	and	CCONJ
cet-6263	26	19	scale	scale	NOUN
cet-6263	26	20	parameter	parameter	NOUN
cet-6263	26	21	2	2	NUM
cet-6263	26	22	(	(	PUNCT
cet-6263	26	23	)	)	PUNCT
cet-6263	26	24	tλ	tλ	ADP
cet-6263	26	25	τ	τ	PROPN
cet-6263	26	26	−	−	PROPN
cet-6263	26	27	,	,	PUNCT
cet-6263	26	28	for	for	ADP
cet-6263	26	29	all	all	DET
cet-6263	26	30	tτ	tτ	NOUN
cet-6263	26	31	>	>	X
cet-6263	26	32	.	.	PUNCT
cet-6263	27	1	let	let	VERB
cet-6263	27	2	l	l	NOUN
cet-6263	27	3	be	be	AUX
cet-6263	27	4	the	the	DET
cet-6263	27	5	threshold	threshold	NOUN
cet-6263	27	6	of	of	ADP
cet-6263	27	7	an	an	DET
cet-6263	27	8	inverse	inverse	ADJ
cet-6263	27	9	gaussian	gaussian	NOUN
cet-6263	27	10	process	process	NOUN
cet-6263	27	11	,	,	PUNCT
cet-6263	27	12	and	and	CCONJ
cet-6263	27	13	suppose	suppose	VERB
cet-6263	27	14	that	that	SCONJ
cet-6263	27	15	we	we	PRON
cet-6263	27	16	are	be	AUX
cet-6263	27	17	interested	interested	ADJ
cet-6263	27	18	in	in	ADP
cet-6263	27	19	the	the	DET
cet-6263	27	20	distribution	distribution	NOUN
cet-6263	27	21	of	of	ADP
cet-6263	27	22	the	the	DET
cet-6263	27	23	time	time	NOUN
cet-6263	27	24	t	t	NUM
cet-6263	27	25	that	that	SCONJ
cet-6263	27	26	the	the	DET
cet-6263	27	27	degradation	degradation	NOUN
cet-6263	27	28	first	first	ADV
cet-6263	27	29	exceeds	exceed	VERB
cet-6263	27	30	l	l	PROPN
cet-6263	27	31	,	,	PUNCT
cet-6263	27	32	assuming	assume	VERB
cet-6263	27	33	it	it	PRON
cet-6263	27	34	starts	start	VERB
cet-6263	27	35	from	from	ADP
cet-6263	27	36	0	0	NUM
cet-6263	27	37	.	.	PUNCT
cet-6263	28	1	here	here	ADV
cet-6263	28	2	we	we	PRON
cet-6263	28	3	use	use	VERB
cet-6263	28	4	ft(t	ft(t	NOUN
cet-6263	28	5	)	)	PUNCT
cet-6263	28	6	to	to	PART
cet-6263	28	7	denote	denote	VERB
cet-6263	28	8	the	the	DET
cet-6263	28	9	distribution	distribution	NOUN
cet-6263	28	10	function	function	NOUN
cet-6263	28	11	of	of	ADP
cet-6263	28	12	fpt	fpt	PROPN
cet-6263	28	13	.	.	PUNCT
cet-6263	29	1	since	since	SCONJ
cet-6263	29	2	it	it	PRON
cet-6263	29	3	is	be	AUX
cet-6263	29	4	a	a	DET
cet-6263	29	5	non	non	ADJ
cet-6263	29	6	-	-	ADJ
cet-6263	29	7	decreasing	decrease	VERB
cet-6263	29	8	process	process	NOUN
cet-6263	29	9	,	,	PUNCT
cet-6263	29	10	the	the	DET
cet-6263	29	11	definition	definition	NOUN
cet-6263	29	12	of	of	ADP
cet-6263	29	13	ftp	ftp	PROPN
cet-6263	29	14	{	{	PUNCT
cet-6263	29	15	}	}	PUNCT
cet-6263	29	16	inf	inf	NOUN
cet-6263	29	17	:	:	PUNCT
cet-6263	29	18	tt	tt	PROPN
cet-6263	29	19	t	t	PROPN
cet-6263	29	20	x	x	PUNCT
cet-6263	29	21	l=	l=	ADJ
cet-6263	29	22	≥	≥	NOUN
cet-6263	29	23	is	be	AUX
cet-6263	29	24	equivalent	equivalent	ADJ
cet-6263	29	25	to	to	ADP
cet-6263	29	26	{	{	PUNCT
cet-6263	29	27	}	}	PUNCT
cet-6263	29	28	:	:	PUNCT
cet-6263	29	29	tt	tt	PROPN
cet-6263	29	30	t	t	PROPN
cet-6263	29	31	x	x	PUNCT
cet-6263	29	32	l=	l=	ADJ
cet-6263	29	33	≥	≥	NOUN
cet-6263	29	34	.	.	PUNCT
cet-6263	30	1	it	it	PRON
cet-6263	30	2	follows	follow	VERB
cet-6263	30	3	that	that	SCONJ
cet-6263	30	4	the	the	DET
cet-6263	30	5	distribution	distribution	NOUN
cet-6263	30	6	of	of	ADP
cet-6263	30	7	fpt	fpt	PROPN
cet-6263	30	8	for	for	ADP
cet-6263	30	9	an	an	DET
cet-6263	30	10	inverse	inverse	ADJ
cet-6263	30	11	gaussian	gaussian	NOUN
cet-6263	30	12	process	process	NOUN
cet-6263	30	13	is	be	AUX
cet-6263	30	14	derived	derive	VERB
cet-6263	30	15	in	in	ADP
cet-6263	30	16	the	the	DET
cet-6263	30	17	following	follow	VERB
cet-6263	30	18	way	way	NOUN
cet-6263	30	19	(	(	PUNCT
cet-6263	30	20	wang	wang	PROPN
cet-6263	30	21	and	and	CCONJ
cet-6263	30	22	xu	xu	PROPN
cet-6263	30	23	,	,	PUNCT
cet-6263	30	24	2010	2010	NUM
cet-6263	30	25	)	)	PUNCT
cet-6263	30	26	,	,	PUNCT
cet-6263	30	27	(	(	PUNCT
cet-6263	30	28	)	)	PUNCT
cet-6263	30	29	p	p	NOUN
cet-6263	30	30	2ex	2ex	ADJ
cet-6263	30	31	(	(	PUNCT
cet-6263	30	32	)	)	PUNCT
cet-6263	30	33	pt	pt	PROPN
cet-6263	30	34	t	t	PROPN
cet-6263	30	35	l	l	NOUN
cet-6263	30	36	lt	lt	VERB
cet-6263	30	37	tf	tf	INTJ
cet-6263	30	38	t	t	PROPN
cet-6263	30	39	x	x	PUNCT
cet-6263	30	40	l	l	NOUN
cet-6263	30	41	b	b	X
cet-6263	30	42	b	b	PROPN
cet-6263	30	43	t	t	PROPN
cet-6263	30	44	l	l	NOUN
cet-6263	30	45	l	l	NOUN
cet-6263	30	46	b	b	X
cet-6263	30	47	λ	λ	X
cet-6263	30	48	λ	λ	PROPN
cet-6263	30	49	λ=	λ=	VERB
cet-6263	30	50	φ	φ	NUM
cet-6263	30	51	−	−	PROPN
cet-6263	31	1	−	−	PROPN
cet-6263	31	2	−	−	PROPN
cet-6263	31	3	φ	φ	NUM
cet-6263	31	4	−	−	PROPN
cet-6263	32	1	+	+	NOUN
cet-6263	32	2	=	=	NOUN
cet-6263	32	3	≥	≥	X
cet-6263	32	4	(	(	PUNCT
cet-6263	32	5	1	1	NUM
cet-6263	32	6	)	)	PUNCT
cet-6263	32	7	where	where	SCONJ
cet-6263	32	8	(	(	PUNCT
cet-6263	32	9	)	)	PUNCT
cet-6263	32	10	φ	φ	PROPN
cet-6263	32	11	⋅	⋅	PROPN
cet-6263	32	12	is	be	AUX
cet-6263	32	13	the	the	DET
cet-6263	32	14	cdf	cdf	PROPN
cet-6263	32	15	of	of	ADP
cet-6263	32	16	standard	standard	ADJ
cet-6263	32	17	normal	normal	ADJ
cet-6263	32	18	distribution	distribution	NOUN
cet-6263	32	19	.	.	PUNCT
cet-6263	33	1	by	by	ADP
cet-6263	33	2	differentiating	differentiate	VERB
cet-6263	33	3	equation	equation	NOUN
cet-6263	33	4	(	(	PUNCT
cet-6263	33	5	1	1	NUM
cet-6263	33	6	)	)	PUNCT
cet-6263	33	7	with	with	ADP
cet-6263	33	8	respect	respect	NOUN
cet-6263	33	9	to	to	ADP
cet-6263	33	10	t	t	PROPN
cet-6263	33	11	,	,	PUNCT
cet-6263	33	12	we	we	PRON
cet-6263	33	13	obtain	obtain	VERB
cet-6263	33	14	a	a	DET
cet-6263	33	15	formula	formula	NOUN
cet-6263	33	16	for	for	ADP
cet-6263	33	17	the	the	DET
cet-6263	33	18	pdf	pdf	NOUN
cet-6263	33	19	of	of	ADP
cet-6263	33	20	the	the	DET
cet-6263	33	21	first	first	ADJ
cet-6263	33	22	passage	passage	NOUN
cet-6263	33	23	time	time	NOUN
cet-6263	33	24	t.	t.	NOUN
cet-6263	33	25	2.2	2.2	NUM
cet-6263	33	26	adaptive	adaptive	ADJ
cet-6263	33	27	degradation	degradation	NOUN
cet-6263	33	28	modelling	model	VERB
cet-6263	33	29	an	an	DET
cet-6263	33	30	inverse	inverse	ADJ
cet-6263	33	31	gaussian	gaussian	NOUN
cet-6263	33	32	process	process	NOUN
cet-6263	33	33	tγ	tγ	PROPN
cet-6263	33	34	with	with	ADP
cet-6263	33	35	mean	mean	ADJ
cet-6263	33	36	parameter	parameter	NOUN
cet-6263	34	1	it	it	PRON
cet-6263	34	2	tb	tb	ADP
cet-6263	34	3	b	b	PROPN
cet-6263	34	4	t=	t=	PRON
cet-6263	34	5	and	and	CCONJ
cet-6263	34	6	scale	scale	NOUN
cet-6263	34	7	parameter	parameter	NOUN
cet-6263	34	8	2tλ	2tλ	NOUN
cet-6263	35	1	can	can	AUX
cet-6263	35	2	be	be	AUX
cet-6263	35	3	used	use	VERB
cet-6263	35	4	for	for	ADP
cet-6263	35	5	describing	describe	VERB
cet-6263	35	6	the	the	DET
cet-6263	35	7	evolution	evolution	NOUN
cet-6263	35	8	of	of	ADP
cet-6263	35	9	the	the	DET
cet-6263	35	10	degradation	degradation	NOUN
cet-6263	35	11	based	base	VERB
cet-6263	35	12	on	on	ADP
cet-6263	35	13	obtained	obtain	VERB
cet-6263	35	14	condition	condition	NOUN
cet-6263	35	15	monitoring	monitoring	NOUN
cet-6263	35	16	(	(	PUNCT
cet-6263	35	17	cm	cm	NOUN
cet-6263	35	18	)	)	PUNCT
cet-6263	35	19	information	information	NOUN
cet-6263	35	20	.	.	PUNCT
cet-6263	36	1	we	we	PRON
cet-6263	36	2	use	use	VERB
cet-6263	36	3	some	some	DET
cet-6263	36	4	additional	additional	ADJ
cet-6263	36	5	notation	notation	NOUN
cet-6263	36	6	:	:	PUNCT
cet-6263	36	7	m	m	NOUN
cet-6263	36	8	is	be	AUX
cet-6263	36	9	the	the	DET
cet-6263	36	10	number	number	NOUN
cet-6263	36	11	of	of	ADP
cet-6263	36	12	cm	cm	NOUN
cet-6263	36	13	points	point	NOUN
cet-6263	36	14	before	before	ADP
cet-6263	36	15	failure	failure	NOUN
cet-6263	36	16	;	;	PUNCT
cet-6263	36	17	it	it	PRON
cet-6263	36	18	is	be	AUX
cet-6263	36	19	the	the	DET
cet-6263	36	20	time	time	NOUN
cet-6263	36	21	of	of	ADP
cet-6263	36	22	the	the	DET
cet-6263	36	23	ith	ith	PROPN
cet-6263	36	24	cm	cm	PROPN
cet-6263	36	25	point	point	NOUN
cet-6263	36	26	;	;	PUNCT
cet-6263	36	27	ty	ty	PRON
cet-6263	36	28	is	be	AUX
cet-6263	36	29	a	a	DET
cet-6263	36	30	random	random	ADJ
cet-6263	36	31	variable	variable	NOUN
cet-6263	36	32	representing	represent	VERB
cet-6263	36	33	the	the	DET
cet-6263	36	34	cm	cm	NOUN
cet-6263	36	35	information	information	NOUN
cet-6263	36	36	at	at	ADP
cet-6263	36	37	time	time	NOUN
cet-6263	36	38	t	t	PROPN
cet-6263	36	39	;	;	PUNCT
cet-6263	36	40	ty	ty	INTJ
cet-6263	36	41	is	be	AUX
cet-6263	36	42	the	the	DET
cet-6263	36	43	observed	observe	VERB
cet-6263	36	44	realisation	realisation	NOUN
cet-6263	36	45	of	of	ADP
cet-6263	36	46	ty	ty	NUM
cet-6263	36	47	;	;	PUNCT
cet-6263	36	48	0	0	NUM
cet-6263	36	49	1	1	NUM
cet-6263	36	50	{	{	PUNCT
cet-6263	36	51	,	,	PUNCT
cet-6263	36	52	,	,	PUNCT
cet-6263	36	53	...	...	PUNCT
cet-6263	36	54	,	,	PUNCT
cet-6263	36	55	}	}	PUNCT
cet-6263	37	1	i	i	PRON
cet-6263	37	2	it	it	PRON
cet-6263	38	1	t	t	INTJ
cet-6263	38	2	t	t	NOUN
cet-6263	39	1	ty	ty	INTJ
cet-6263	39	2	y	y	PROPN
cet-6263	39	3	y	y	PROPN
cet-6263	39	4	=	=	PRON
cet-6263	39	5	y	y	PROPN
cet-6263	39	6	is	be	AUX
cet-6263	39	7	the	the	DET
cet-6263	39	8	history	history	NOUN
cet-6263	39	9	of	of	ADP
cet-6263	39	10	degradation	degradation	NOUN
cet-6263	39	11	observations	observation	NOUN
cet-6263	39	12	for	for	ADP
cet-6263	39	13	the	the	DET
cet-6263	39	14	plant	plant	NOUN
cet-6263	39	15	up	up	ADP
cet-6263	39	16	to	to	PART
cet-6263	39	17	time	time	NOUN
cet-6263	39	18	it	it	PRON
cet-6263	39	19	.	.	PUNCT
cet-6263	40	1	at	at	ADP
cet-6263	40	2	each	each	DET
cet-6263	40	3	cm	cm	NOUN
cet-6263	40	4	point	point	NOUN
cet-6263	40	5	it	it	PRON
cet-6263	40	6	,	,	PUNCT
cet-6263	40	7	we	we	PRON
cet-6263	40	8	observe	observe	VERB
cet-6263	40	9	the	the	DET
cet-6263	40	10	current	current	ADJ
cet-6263	40	11	degradation	degradation	NOUN
cet-6263	40	12	observation	observation	NOUN
cet-6263	40	13	it	it	PRON
cet-6263	40	14	y	y	PROPN
cet-6263	40	15	.	.	PUNCT
cet-6263	41	1	the	the	DET
cet-6263	41	2	future	future	ADJ
cet-6263	41	3	degradation	degradation	NOUN
cet-6263	41	4	ty	ty	INTJ
cet-6263	41	5	,	,	PUNCT
cet-6263	41	6	it	it	PRON
cet-6263	41	7	t	t	AUX
cet-6263	41	8	>	>	X
cet-6263	41	9	is	be	AUX
cet-6263	41	10	regarded	regard	VERB
cet-6263	41	11	as	as	ADP
cet-6263	41	12	a	a	DET
cet-6263	41	13	three	three	NUM
cet-6263	41	14	-	-	PUNCT
cet-6263	41	15	parameter	parameter	NOUN
cet-6263	41	16	inverse	inverse	NOUN
cet-6263	41	17	gaussian	gaussian	NOUN
cet-6263	41	18	random	random	ADJ
cet-6263	41	19	variable	variable	NOUN
cet-6263	41	20	with	with	ADP
cet-6263	41	21	location	location	NOUN
cet-6263	41	22	parameter	parameter	NOUN
cet-6263	41	23	it	it	PRON
cet-6263	41	24	y	y	INTJ
cet-6263	41	25	,	,	PUNCT
cet-6263	41	26	mean	mean	VERB
cet-6263	41	27	parameter	parameter	NOUN
cet-6263	41	28	(	(	PUNCT
cet-6263	41	29	)	)	PUNCT
cet-6263	42	1	it	it	PRON
cet-6263	42	2	ib	ib	VERB
cet-6263	42	3	t	t	PROPN
cet-6263	42	4	t−	t−	PROPN
cet-6263	42	5	and	and	CCONJ
cet-6263	42	6	scale	scale	NOUN
cet-6263	42	7	parameter	parameter	NOUN
cet-6263	42	8	2	2	NUM
cet-6263	42	9	(	(	PUNCT
cet-6263	42	10	)	)	PUNCT
cet-6263	42	11	it	it	PRON
cet-6263	42	12	tλ	tλ	ADP
cet-6263	42	13	−	−	PROPN
cet-6263	42	14	.	.	PUNCT
cet-6263	43	1	the	the	DET
cet-6263	43	2	probability	probability	NOUN
cet-6263	43	3	density	density	NOUN
cet-6263	43	4	function	function	NOUN
cet-6263	43	5	of	of	ADP
cet-6263	43	6	ty	ty	PRON
cet-6263	43	7	is	be	AUX
cet-6263	43	8	given	give	VERB
cet-6263	43	9	as	as	ADP
cet-6263	43	10	.	.	PROPN
cet-6263	43	11	22	22	NUM
cet-6263	43	12	2	2	NUM
cet-6263	43	13	3	3	NUM
cet-6263	43	14	(	(	PUNCT
cet-6263	43	15	)	)	PUNCT
cet-6263	43	16	(	(	PUNCT
cet-6263	43	17	)	)	PUNCT
cet-6263	43	18	1	1	NUM
cet-6263	43	19	(	(	PUNCT
cet-6263	43	20	|	|	ADV
cet-6263	43	21	;	;	PUNCT
cet-6263	43	22	,	,	PUNCT
cet-6263	43	23	)	)	PUNCT
cet-6263	43	24	exp	exp	NOUN
cet-6263	43	25	{	{	PUNCT
cet-6263	43	26	(	(	PUNCT
cet-6263	43	27	(	(	PUNCT
cet-6263	43	28	)	)	PUNCT
cet-6263	43	29	)	)	PUNCT
cet-6263	43	30	}	}	PUNCT
cet-6263	43	31	2	2	NUM
cet-6263	43	32	2	2	NUM
cet-6263	43	33	i	i	PRON
cet-6263	44	1	i	i	PRON
cet-6263	44	2	i	i	PRON
cet-6263	45	1	i	i	PRON
cet-6263	45	2	i	i	PRON
cet-6263	46	1	i	i	PRON
cet-6263	47	1	i	i	PRON
cet-6263	47	2	ti	ti	VERB
cet-6263	47	3	t	t	PROPN
cet-6263	47	4	t	t	PROPN
cet-6263	48	1	t	t	PROPN
cet-6263	48	2	t	t	PROPN
cet-6263	49	1	i	i	PRON
cet-6263	49	2	t	t	PROPN
cet-6263	50	1	t	t	PROPN
cet-6263	50	2	t	t	PROPN
cet-6263	50	3	t	t	PROPN
cet-6263	50	4	vt	vt	PROPN
cet-6263	50	5	tp	tp	ADP
cet-6263	50	6	y	y	PROPN
cet-6263	50	7	y	y	PROPN
cet-6263	50	8	b	b	PROPN
cet-6263	50	9	b	b	PROPN
cet-6263	50	10	t	t	PROPN
cet-6263	50	11	t	t	PROPN
cet-6263	50	12	v	v	NOUN
cet-6263	50	13	v	v	NOUN
cet-6263	50	14	λλλ	λλλ	PROPN
cet-6263	50	15	π	π	X
cet-6263	50	16	−−=	−−=	NOUN
cet-6263	50	17	−	−	PROPN
cet-6263	50	18	−	−	PROPN
cet-6263	50	19	−	−	PROPN
cet-6263	50	20	(	(	PUNCT
cet-6263	50	21	2	2	NUM
cet-6263	50	22	)	)	PUNCT
cet-6263	50	23	2.3	2.3	NUM
cet-6263	50	24	updating	update	VERB
cet-6263	50	25	the	the	DET
cet-6263	50	26	mean	mean	ADJ
cet-6263	50	27	parameter	parameter	NOUN
cet-6263	50	28	from	from	ADP
cet-6263	50	29	section	section	NOUN
cet-6263	50	30	2.2	2.2	NUM
cet-6263	50	31	,	,	PUNCT
cet-6263	50	32	it	it	PRON
cet-6263	50	33	is	be	AUX
cet-6263	50	34	noted	note	VERB
cet-6263	50	35	that	that	SCONJ
cet-6263	50	36	it	it	PRON
cet-6263	50	37	b	b	NOUN
cet-6263	50	38	is	be	AUX
cet-6263	50	39	not	not	PART
cet-6263	50	40	a	a	DET
cet-6263	50	41	constant	constant	ADJ
cet-6263	50	42	and	and	CCONJ
cet-6263	50	43	regarded	regard	VERB
cet-6263	50	44	as	as	ADP
cet-6263	50	45	a	a	DET
cet-6263	50	46	random	random	ADJ
cet-6263	50	47	variable	variable	NOUN
cet-6263	50	48	.	.	PUNCT
cet-6263	51	1	therefore	therefore	ADV
cet-6263	51	2	,	,	PUNCT
cet-6263	51	3	we	we	PRON
cet-6263	51	4	construct	construct	VERB
cet-6263	51	5	a	a	DET
cet-6263	51	6	state	state	NOUN
cet-6263	51	7	space	space	NOUN
cet-6263	51	8	model	model	NOUN
cet-6263	51	9	for	for	ADP
cet-6263	51	10	the	the	DET
cet-6263	51	11	evolvement	evolvement	NOUN
cet-6263	51	12	of	of	ADP
cet-6263	51	13	it	it	PRON
cet-6263	51	14	b	b	PROPN
cet-6263	51	15	.	.	PUNCT
cet-6263	52	1	in	in	ADP
cet-6263	52	2	this	this	DET
cet-6263	52	3	state	state	NOUN
cet-6263	52	4	space	space	NOUN
cet-6263	52	5	setting	setting	NOUN
cet-6263	52	6	,	,	PUNCT
cet-6263	52	7	it	it	PRON
cet-6263	52	8	b	b	X
cet-6263	52	9	can	can	AUX
cet-6263	52	10	be	be	AUX
cet-6263	52	11	updated	update	VERB
cet-6263	52	12	through	through	ADP
cet-6263	52	13	a	a	DET
cet-6263	52	14	bayesian	bayesian	NOUN
cet-6263	52	15	filtering	filtering	NOUN
cet-6263	52	16	process	process	NOUN
cet-6263	52	17	at	at	ADP
cet-6263	52	18	each	each	DET
cet-6263	52	19	cm	cm	NOUN
cet-6263	52	20	point	point	NOUN
cet-6263	52	21	once	once	SCONJ
cet-6263	52	22	new	new	ADJ
cet-6263	52	23	information	information	NOUN
cet-6263	52	24	is	be	AUX
cet-6263	52	25	obtained	obtain	VERB
cet-6263	52	26	.	.	PUNCT
cet-6263	53	1	it	it	PRON
cet-6263	53	2	is	be	AUX
cet-6263	53	3	worth	worth	ADJ
cet-6263	53	4	noting	note	VERB
cet-6263	53	5	that	that	SCONJ
cet-6263	53	6	the	the	DET
cet-6263	53	7	updating	update	VERB
cet-6263	53	8	process	process	NOUN
cet-6263	53	9	for	for	ADP
cet-6263	53	10	it	it	PRON
cet-6263	53	11	b	b	NOUN
cet-6263	53	12	is	be	AUX
cet-6263	53	13	difficult	difficult	ADJ
cet-6263	53	14	as	as	SCONJ
cet-6263	53	15	an	an	DET
cet-6263	53	16	analytical	analytical	ADJ
cet-6263	53	17	form	form	NOUN
cet-6263	53	18	is	be	AUX
cet-6263	53	19	not	not	PART
cet-6263	53	20	generally	generally	ADV
cet-6263	53	21	available	available	ADJ
cet-6263	53	22	.	.	PUNCT
cet-6263	54	1	as	as	ADP
cet-6263	54	2	such	such	ADJ
cet-6263	54	3	,	,	PUNCT
cet-6263	54	4	we	we	PRON
cet-6263	54	5	make	make	VERB
cet-6263	54	6	a	a	DET
cet-6263	54	7	few	few	ADJ
cet-6263	54	8	assumptions	assumption	NOUN
cet-6263	54	9	and	and	CCONJ
cet-6263	54	10	attempt	attempt	VERB
cet-6263	54	11	to	to	PART
cet-6263	54	12	obtain	obtain	VERB
cet-6263	54	13	a	a	DET
cet-6263	54	14	closed	closed	ADJ
cet-6263	54	15	form	form	NOUN
cet-6263	54	16	for	for	ADP
cet-6263	54	17	it	it	PRON
cet-6263	54	18	b	b	PROPN
cet-6263	54	19	.	.	PUNCT
cet-6263	55	1	first	first	ADV
cet-6263	55	2	,	,	PUNCT
cet-6263	55	3	we	we	PRON
cet-6263	55	4	assume	assume	VERB
cet-6263	55	5	that	that	SCONJ
cet-6263	55	6	cm	cm	NOUN
cet-6263	55	7	information	information	NOUN
cet-6263	55	8	is	be	AUX
cet-6263	55	9	collected	collect	VERB
cet-6263	55	10	based	base	VERB
cet-6263	55	11	on	on	ADP
cet-6263	55	12	a	a	DET
cet-6263	55	13	fixed	fix	VERB
cet-6263	55	14	time	time	NOUN
cet-6263	55	15	interval	interval	NOUN
cet-6263	55	16	.	.	PUNCT
cet-6263	56	1	this	this	PRON
cet-6263	56	2	is	be	AUX
cet-6263	56	3	a	a	DET
cet-6263	56	4	mild	mild	ADJ
cet-6263	56	5	and	and	CCONJ
cet-6263	56	6	reasonable	reasonable	ADJ
cet-6263	56	7	assumption	assumption	NOUN
cet-6263	56	8	as	as	ADP
cet-6263	56	9	,	,	PUNCT
cet-6263	56	10	in	in	ADP
cet-6263	56	11	practice	practice	NOUN
cet-6263	56	12	,	,	PUNCT
cet-6263	56	13	fixed	fix	VERB
cet-6263	56	14	time	time	NOUN
cet-6263	56	15	sampling	sampling	NOUN
cet-6263	56	16	is	be	AUX
cet-6263	56	17	widely	widely	ADV
cet-6263	56	18	used	use	VERB
cet-6263	56	19	and	and	CCONJ
cet-6263	56	20	is	be	AUX
cet-6263	56	21	also	also	ADV
cet-6263	56	22	convenient	convenient	ADJ
cet-6263	56	23	.	.	PUNCT
cet-6263	57	1	for	for	ADP
cet-6263	57	2	notational	notational	ADJ
cet-6263	57	3	simplicity	simplicity	NOUN
cet-6263	57	4	,	,	PUNCT
cet-6263	57	5	we	we	PRON
cet-6263	57	6	will	will	AUX
cet-6263	57	7	use	use	VERB
cet-6263	57	8	332	332	NUM
cet-6263	57	9	tδ	tδ	PROPN
cet-6263	57	10	to	to	PART
cet-6263	57	11	denote	denote	VERB
cet-6263	57	12	the	the	DET
cet-6263	57	13	equal	equal	ADJ
cet-6263	57	14	interval	interval	NOUN
cet-6263	57	15	.	.	PUNCT
cet-6263	58	1	the	the	DET
cet-6263	58	2	increment	increment	NOUN
cet-6263	58	3	it	it	PRON
cet-6263	58	4	v	v	VERB
cet-6263	58	5	is	be	AUX
cet-6263	58	6	the	the	DET
cet-6263	58	7	value	value	NOUN
cet-6263	58	8	between	between	ADP
cet-6263	58	9	the	the	DET
cet-6263	58	10	current	current	ADJ
cet-6263	58	11	checking	checking	NOUN
cet-6263	58	12	point	point	NOUN
cet-6263	58	13	it	it	PRON
cet-6263	58	14	y	y	PROPN
cet-6263	58	15	and	and	CCONJ
cet-6263	58	16	the	the	DET
cet-6263	58	17	last	last	ADJ
cet-6263	58	18	point	point	NOUN
cet-6263	58	19	1it	1it	NOUN
cet-6263	59	1	y	y	PROPN
cet-6263	59	2	−	−	PROPN
cet-6263	59	3	,	,	PUNCT
cet-6263	59	4	1i	1i	NOUN
cet-6263	60	1	i	i	PRON
cet-6263	60	2	it	it	PRON
cet-6263	60	3	t	t	VERB
cet-6263	60	4	tv	tv	NOUN
cet-6263	60	5	y	y	PROPN
cet-6263	60	6	y	y	PROPN
cet-6263	60	7	−	−	PROPN
cet-6263	61	1	=	=	PUNCT
cet-6263	61	2	−	−	PROPN
cet-6263	61	3	.	.	PUNCT
cet-6263	62	1	in	in	ADP
cet-6263	62	2	the	the	DET
cet-6263	62	3	following	follow	VERB
cet-6263	62	4	work	work	NOUN
cet-6263	62	5	,	,	PUNCT
cet-6263	62	6	we	we	PRON
cet-6263	62	7	use	use	VERB
cet-6263	62	8	1	1	NUM
cet-6263	62	9	2	2	NUM
cet-6263	62	10	{	{	PUNCT
cet-6263	62	11	,	,	PUNCT
cet-6263	62	12	,	,	PUNCT
cet-6263	62	13	...	...	PUNCT
cet-6263	62	14	,	,	PUNCT
cet-6263	62	15	}	}	PUNCT
cet-6263	62	16	i	i	PRON
cet-6263	63	1	it	it	PRON
cet-6263	63	2	t	t	X
cet-6263	63	3	t	t	NOUN
cet-6263	63	4	tv	tv	NOUN
cet-6263	63	5	v	v	ADP
cet-6263	63	6	v	v	NOUN
cet-6263	63	7	=	=	NOUN
cet-6263	63	8	v	v	NOUN
cet-6263	63	9	as	as	ADP
cet-6263	63	10	the	the	DET
cet-6263	63	11	observed	observed	ADJ
cet-6263	63	12	information	information	NOUN
cet-6263	63	13	which	which	PRON
cet-6263	63	14	is	be	AUX
cet-6263	63	15	equivalent	equivalent	ADJ
cet-6263	63	16	to	to	ADP
cet-6263	63	17	0	0	NUM
cet-6263	63	18	1	1	NUM
cet-6263	63	19	{	{	PUNCT
cet-6263	63	20	,	,	PUNCT
cet-6263	63	21	,	,	PUNCT
cet-6263	63	22	...	...	PUNCT
cet-6263	63	23	,	,	PUNCT
cet-6263	63	24	}	}	PUNCT
cet-6263	64	1	i	i	PRON
cet-6263	64	2	it	it	PRON
cet-6263	65	1	t	t	INTJ
cet-6263	65	2	t	t	NOUN
cet-6263	66	1	ty	ty	INTJ
cet-6263	66	2	y	y	PROPN
cet-6263	66	3	y	y	PROPN
cet-6263	66	4	=	=	PROPN
cet-6263	66	5	y	y	PROPN
cet-6263	66	6	.	.	PUNCT
cet-6263	67	1	according	accord	VERB
cet-6263	67	2	to	to	ADP
cet-6263	67	3	the	the	DET
cet-6263	67	4	properties	property	NOUN
cet-6263	67	5	of	of	ADP
cet-6263	67	6	an	an	DET
cet-6263	67	7	inverse	inverse	ADJ
cet-6263	67	8	gaussian	gaussian	NOUN
cet-6263	67	9	process	process	NOUN
cet-6263	67	10	,	,	PUNCT
cet-6263	67	11	at	at	ADP
cet-6263	67	12	each	each	DET
cet-6263	67	13	cm	cm	NOUN
cet-6263	67	14	point	point	NOUN
cet-6263	67	15	it	it	PRON
cet-6263	67	16	,	,	PUNCT
cet-6263	67	17	the	the	DET
cet-6263	67	18	increment	increment	NOUN
cet-6263	67	19	follows	follow	VERB
cet-6263	67	20	an	an	DET
cet-6263	67	21	inverse	inverse	ADJ
cet-6263	67	22	gaussian	gaussian	ADJ
cet-6263	67	23	distribution	distribution	NOUN
cet-6263	67	24	,	,	PUNCT
cet-6263	67	25	that	that	ADV
cet-6263	67	26	is	be	AUX
cet-6263	67	27	2	2	NUM
cet-6263	67	28	(	(	PUNCT
cet-6263	67	29	|	|	ADV
cet-6263	67	30	)	)	PUNCT
cet-6263	67	31	(	(	PUNCT
cet-6263	67	32	;	;	PUNCT
cet-6263	67	33	,	,	PUNCT
cet-6263	67	34	)	)	PUNCT
cet-6263	68	1	i	i	PRON
cet-6263	68	2	i	i	PRON
cet-6263	69	1	i	i	PRON
cet-6263	69	2	it	it	PRON
cet-6263	70	1	t	t	X
cet-6263	70	2	t	t	X
cet-6263	70	3	tp	tp	ADP
cet-6263	70	4	v	v	PROPN
cet-6263	70	5	b	b	PROPN
cet-6263	70	6	ig	ig	PRON
cet-6263	70	7	v	v	PROPN
cet-6263	70	8	b	b	PROPN
cet-6263	70	9	t	t	PROPN
cet-6263	70	10	tλ=	tλ=	PROPN
cet-6263	70	11	δ	δ	PROPN
cet-6263	70	12	δ	δ	PROPN
cet-6263	70	13	.	.	PUNCT
cet-6263	71	1	the	the	DET
cet-6263	71	2	mean	mean	ADJ
cet-6263	71	3	parameter	parameter	NOUN
cet-6263	71	4	it	it	PRON
cet-6263	71	5	b	b	NOUN
cet-6263	71	6	before	before	ADP
cet-6263	71	7	considering	consider	VERB
cet-6263	71	8	the	the	DET
cet-6263	71	9	observed	observed	ADJ
cet-6263	71	10	it	it	PRON
cet-6263	71	11	y	y	PROPN
cet-6263	71	12	is	be	AUX
cet-6263	71	13	assumed	assume	VERB
cet-6263	71	14	to	to	PART
cet-6263	71	15	satisfy	satisfy	VERB
cet-6263	71	16	1i	1i	NOUN
cet-6263	71	17	it	it	PRON
cet-6263	71	18	tb	tb	ADP
cet-6263	71	19	b	b	NOUN
cet-6263	71	20	−	−	PROPN
cet-6263	72	1	=	=	PUNCT
cet-6263	72	2	.	.	PUNCT
cet-6263	73	1	then	then	ADV
cet-6263	73	2	the	the	DET
cet-6263	73	3	semi	semi	ADJ
cet-6263	73	4	-	-	ADJ
cet-6263	73	5	deterministic	deterministic	ADJ
cet-6263	73	6	state	state	NOUN
cet-6263	73	7	space	space	NOUN
cet-6263	73	8	equation	equation	NOUN
cet-6263	73	9	(	(	PUNCT
cet-6263	73	10	equation	equation	NOUN
cet-6263	73	11	(	(	PUNCT
cet-6263	73	12	3	3	NUM
cet-6263	73	13	)	)	PUNCT
cet-6263	73	14	)	)	PUNCT
cet-6263	73	15	is	be	AUX
cet-6263	73	16	constructed	construct	VERB
cet-6263	73	17	for	for	ADP
cet-6263	73	18	the	the	DET
cet-6263	73	19	updating	updating	NOUN
cet-6263	73	20	of	of	ADP
cet-6263	73	21	it	it	PRON
cet-6263	73	22	b	b	PROPN
cet-6263	73	23	.	.	PUNCT
cet-6263	74	1	other	other	ADJ
cet-6263	74	2	state	state	NOUN
cet-6263	74	3	space	space	NOUN
cet-6263	74	4	equations	equation	NOUN
cet-6263	74	5	can	can	AUX
cet-6263	74	6	also	also	ADV
cet-6263	74	7	be	be	AUX
cet-6263	74	8	considered	consider	VERB
cet-6263	74	9	,	,	PUNCT
cet-6263	74	10	and	and	CCONJ
cet-6263	74	11	the	the	DET
cet-6263	74	12	reasons	reason	NOUN
cet-6263	74	13	we	we	PRON
cet-6263	74	14	choose	choose	VERB
cet-6263	74	15	this	this	DET
cet-6263	74	16	particular	particular	ADJ
cet-6263	74	17	type	type	NOUN
cet-6263	74	18	lie	lie	NOUN
cet-6263	74	19	in	in	ADP
cet-6263	74	20	:	:	PUNCT
cet-6263	74	21	1	1	NUM
cet-6263	74	22	)	)	PUNCT
cet-6263	74	23	.	.	PUNCT
cet-6263	75	1	an	an	DET
cet-6263	75	2	explicit	explicit	ADJ
cet-6263	75	3	solution	solution	NOUN
cet-6263	75	4	can	can	AUX
cet-6263	75	5	be	be	AUX
cet-6263	75	6	obtained	obtain	VERB
cet-6263	75	7	in	in	ADP
cet-6263	75	8	this	this	DET
cet-6263	75	9	model	model	NOUN
cet-6263	75	10	setting	setting	NOUN
cet-6263	75	11	;	;	PUNCT
cet-6263	75	12	2	2	X
cet-6263	75	13	.	.	X
cet-6263	76	1	it	it	PRON
cet-6263	76	2	is	be	AUX
cet-6263	76	3	reasonable	reasonable	ADJ
cet-6263	76	4	to	to	PART
cet-6263	76	5	assume	assume	VERB
cet-6263	76	6	that	that	SCONJ
cet-6263	76	7	in	in	ADP
cet-6263	76	8	between	between	ADP
cet-6263	76	9	two	two	NUM
cet-6263	76	10	checking	checking	NOUN
cet-6263	76	11	points	point	NOUN
cet-6263	76	12	,	,	PUNCT
cet-6263	76	13	the	the	DET
cet-6263	76	14	mean	mean	ADJ
cet-6263	76	15	parameter	parameter	NOUN
cet-6263	76	16	does	do	AUX
cet-6263	76	17	not	not	PART
cet-6263	76	18	change	change	VERB
cet-6263	76	19	dramatically	dramatically	ADV
cet-6263	76	20	.	.	PUNCT
cet-6263	77	1	in	in	ADP
cet-6263	77	2	other	other	ADJ
cet-6263	77	3	cases	case	NOUN
cet-6263	77	4	,	,	PUNCT
cet-6263	77	5	a	a	DET
cet-6263	77	6	particle	particle	NOUN
cet-6263	77	7	filtering	filtering	NOUN
cet-6263	77	8	method	method	NOUN
cet-6263	77	9	is	be	AUX
cet-6263	77	10	needed	need	VERB
cet-6263	77	11	to	to	PART
cet-6263	77	12	get	get	VERB
cet-6263	77	13	an	an	DET
cet-6263	77	14	approximate	approximate	ADJ
cet-6263	77	15	solution	solution	NOUN
cet-6263	77	16	.	.	PUNCT
cet-6263	78	1	1	1	NUM
cet-6263	78	2	22	22	NUM
cet-6263	78	3	2	2	NUM
cet-6263	78	4	3	3	NUM
cet-6263	78	5	1	1	NUM
cet-6263	78	6	(	(	PUNCT
cet-6263	78	7	|	|	ADV
cet-6263	78	8	)	)	PUNCT
cet-6263	78	9	exp	exp	NOUN
cet-6263	78	10	{	{	PUNCT
cet-6263	78	11	(	(	PUNCT
cet-6263	78	12	)	)	PUNCT
cet-6263	78	13	}	}	PUNCT
cet-6263	78	14	2	2	NUM
cet-6263	78	15	2	2	NUM
cet-6263	78	16	i	i	PRON
cet-6263	78	17	i	i	PRON
cet-6263	79	1	i	i	PRON
cet-6263	79	2	i	i	PRON
cet-6263	80	1	i	i	PRON
cet-6263	80	2	i	i	PRON
cet-6263	81	1	i	i	PRON
cet-6263	82	1	i	i	PRON
cet-6263	82	2	t	t	NOUN
cet-6263	83	1	t	t	PROPN
cet-6263	83	2	t	t	PROPN
cet-6263	83	3	t	t	PROPN
cet-6263	83	4	t	t	PROPN
cet-6263	83	5	t	t	PROPN
cet-6263	83	6	t	t	PROPN
cet-6263	83	7	t	t	PROPN
cet-6263	83	8	b	b	PROPN
cet-6263	83	9	b	b	PROPN
cet-6263	83	10	t	t	PROPN
cet-6263	83	11	vtp	vtp	NOUN
cet-6263	83	12	v	v	PROPN
cet-6263	83	13	b	b	PROPN
cet-6263	83	14	b	b	PROPN
cet-6263	83	15	t	t	PROPN
cet-6263	83	16	v	v	NOUN
cet-6263	83	17	v	v	INTJ
cet-6263	83	18	λλ	λλ	NOUN
cet-6263	83	19	π	π	NOUN
cet-6263	83	20	−	−	PROPN
cet-6263	84	1	=	=	PUNCT
cet-6263	84	2	δδ=	δδ=	ADJ
cet-6263	84	3	−	−	PROPN
cet-6263	84	4	δ	δ	PROPN
cet-6263	84	5	−	−	PROPN
cet-6263	84	6	(	(	PUNCT
cet-6263	84	7	3	3	NUM
cet-6263	84	8	)	)	PUNCT
cet-6263	84	9	then	then	ADV
cet-6263	84	10	,	,	PUNCT
cet-6263	84	11	under	under	ADP
cet-6263	84	12	a	a	DET
cet-6263	84	13	bayesian	bayesian	NOUN
cet-6263	84	14	filtering	filtering	NOUN
cet-6263	84	15	process	process	NOUN
cet-6263	84	16	,	,	PUNCT
cet-6263	84	17	we	we	PRON
cet-6263	84	18	have	have	VERB
cet-6263	84	19	from	from	ADP
cet-6263	84	20	equation	equation	NOUN
cet-6263	84	21	(	(	PUNCT
cet-6263	84	22	3	3	NUM
cet-6263	84	23	)	)	PUNCT
cet-6263	84	24	that	that	SCONJ
cet-6263	84	25	1	1	NUM
cet-6263	84	26	1	1	NUM
cet-6263	84	27	1	1	NUM
cet-6263	84	28	1	1	NUM
cet-6263	84	29	10	10	NUM
cet-6263	84	30	(	(	PUNCT
cet-6263	84	31	|	|	ADV
cet-6263	84	32	)	)	PUNCT
cet-6263	84	33	(	(	PUNCT
cet-6263	84	34	|	|	ADV
cet-6263	84	35	)	)	PUNCT
cet-6263	84	36	(	(	PUNCT
cet-6263	84	37	|	|	ADV
cet-6263	84	38	)	)	PUNCT
cet-6263	84	39	(	(	PUNCT
cet-6263	84	40	|	|	ADV
cet-6263	84	41	)	)	PUNCT
cet-6263	84	42	(	(	PUNCT
cet-6263	84	43	|	|	ADV
cet-6263	84	44	,	,	PUNCT
cet-6263	84	45	)	)	PUNCT
cet-6263	84	46	(	(	PUNCT
cet-6263	84	47	|	|	ADV
cet-6263	84	48	)	)	PUNCT
cet-6263	84	49	(	(	PUNCT
cet-6263	84	50	|	|	ADV
cet-6263	84	51	)	)	PUNCT
cet-6263	84	52	(	(	PUNCT
cet-6263	84	53	|	|	ADV
cet-6263	84	54	)	)	PUNCT
cet-6263	84	55	i	i	PRON
cet-6263	85	1	i	i	PRON
cet-6263	86	1	i	i	PRON
cet-6263	87	1	i	i	PRON
cet-6263	88	1	i	i	PRON
cet-6263	89	1	i	i	PRON
cet-6263	90	1	i	i	PRON
cet-6263	91	1	i	i	PRON
cet-6263	92	1	i	i	PRON
cet-6263	93	1	i	i	PRON
cet-6263	94	1	i	i	PRON
cet-6263	95	1	i	i	PRON
cet-6263	96	1	i	i	PRON
cet-6263	97	1	i	i	PRON
cet-6263	98	1	i	i	PRON
cet-6263	99	1	i	i	PRON
cet-6263	100	1	i	i	PRON
cet-6263	101	1	i	i	PRON
cet-6263	102	1	i	i	PRON
cet-6263	102	2	t	t	NOUN
cet-6263	103	1	t	t	PROPN
cet-6263	103	2	t	t	PROPN
cet-6263	103	3	t	t	PROPN
cet-6263	103	4	t	t	PROPN
cet-6263	103	5	t	t	PROPN
cet-6263	103	6	t	t	PROPN
cet-6263	103	7	t	t	PROPN
cet-6263	103	8	t	t	PROPN
cet-6263	103	9	t	t	PROPN
cet-6263	103	10	t	t	PROPN
cet-6263	103	11	t	t	PROPN
cet-6263	103	12	t	t	PROPN
cet-6263	103	13	t	t	PROPN
cet-6263	103	14	t	t	PROPN
cet-6263	103	15	t	t	PROPN
cet-6263	103	16	t	t	PROPN
cet-6263	103	17	t	t	PROPN
cet-6263	103	18	t	t	PROPN
cet-6263	103	19	p	p	X
cet-6263	103	20	v	v	PROPN
cet-6263	103	21	b	b	PROPN
cet-6263	103	22	p	p	X
cet-6263	103	23	v	v	ADP
cet-6263	103	24	b	b	PROPN
cet-6263	103	25	p	p	X
cet-6263	103	26	b	b	PROPN
cet-6263	103	27	p	p	X
cet-6263	103	28	b	b	PROPN
cet-6263	103	29	p	p	X
cet-6263	103	30	b	b	PROPN
cet-6263	103	31	v	v	ADP
cet-6263	103	32	p	p	NOUN
cet-6263	103	33	v	v	ADP
cet-6263	103	34	p	p	NOUN
cet-6263	103	35	v	v	NOUN
cet-6263	103	36	b	b	PROPN
cet-6263	103	37	p	p	X
cet-6263	103	38	b	b	NOUN
cet-6263	103	39	dk	dk	INTJ
cet-6263	103	40	−	−	PROPN
cet-6263	103	41	−	−	PROPN
cet-6263	103	42	−	−	PROPN
cet-6263	104	1	−	−	PROPN
cet-6263	104	2	−	−	PROPN
cet-6263	104	3	∞=	∞=	NOUN
cet-6263	104	4	=	=	PUNCT
cet-6263	104	5	=	=	SYM
cet-6263	104	6	v	v	NUM
cet-6263	104	7	v	v	NUM
cet-6263	104	8	v	v	NUM
cet-6263	104	9	v	v	ADP
cet-6263	104	10	v	v	NOUN
cet-6263	104	11	v	v	NOUN
cet-6263	104	12	(	(	PUNCT
cet-6263	104	13	4	4	NUM
cet-6263	104	14	)	)	PUNCT
cet-6263	104	15	recursively	recursively	ADV
cet-6263	104	16	applying	apply	VERB
cet-6263	104	17	the	the	DET
cet-6263	104	18	bayes	baye	NOUN
cet-6263	104	19	’	'	PUNCT
cet-6263	104	20	rule	rule	NOUN
cet-6263	104	21	,	,	PUNCT
cet-6263	104	22	we	we	PRON
cet-6263	104	23	have	have	VERB
cet-6263	104	24	the	the	DET
cet-6263	104	25	probability	probability	NOUN
cet-6263	104	26	distribution	distribution	NOUN
cet-6263	104	27	of	of	ADP
cet-6263	104	28	it	it	PRON
cet-6263	104	29	b	b	NOUN
cet-6263	104	30	conditional	conditional	ADJ
cet-6263	104	31	on	on	ADP
cet-6263	104	32	the	the	DET
cet-6263	104	33	collected	collect	VERB
cet-6263	104	34	information	information	NOUN
cet-6263	104	35	up	up	ADP
cet-6263	104	36	to	to	ADP
cet-6263	104	37	time	time	NOUN
cet-6263	104	38	it	it	PRON
cet-6263	105	1	1	1	NUM
cet-6263	105	2	1	1	NUM
cet-6263	105	3	1	1	NUM
cet-6263	105	4	1	1	NUM
cet-6263	105	5	0	0	NUM
cet-6263	105	6	00	00	PUNCT
cet-6263	105	7	(	(	PUNCT
cet-6263	105	8	|	|	ADV
cet-6263	105	9	)	)	PUNCT
cet-6263	105	10	(	(	PUNCT
cet-6263	105	11	|	|	ADV
cet-6263	105	12	)	)	PUNCT
cet-6263	105	13	...	...	PUNCT
cet-6263	106	1	(	(	PUNCT
cet-6263	106	2	|	|	ADV
cet-6263	106	3	)	)	PUNCT
cet-6263	106	4	(	(	PUNCT
cet-6263	106	5	|	|	ADV
cet-6263	106	6	)	)	PUNCT
cet-6263	106	7	(	(	PUNCT
cet-6263	106	8	|	|	ADV
cet-6263	106	9	)	)	PUNCT
cet-6263	106	10	(	(	PUNCT
cet-6263	106	11	|	|	ADV
cet-6263	106	12	)	)	PUNCT
cet-6263	106	13	(	(	PUNCT
cet-6263	106	14	|	|	ADV
cet-6263	106	15	)	)	PUNCT
cet-6263	106	16	...	...	PUNCT
cet-6263	106	17	(	(	PUNCT
cet-6263	106	18	|	|	ADV
cet-6263	106	19	)	)	PUNCT
cet-6263	106	20	(	(	PUNCT
cet-6263	106	21	|	|	ADV
cet-6263	106	22	)	)	PUNCT
cet-6263	106	23	i	i	PRON
cet-6263	107	1	i	i	PRON
cet-6263	108	1	i	i	PRON
cet-6263	109	1	i	i	PRON
cet-6263	110	1	i	i	PRON
cet-6263	111	1	i	i	PRON
cet-6263	112	1	i	i	PRON
cet-6263	113	1	i	i	PRON
cet-6263	114	1	i	i	PRON
cet-6263	115	1	i	i	PRON
cet-6263	116	1	i	i	PRON
cet-6263	117	1	i	i	PRON
cet-6263	118	1	i	i	PRON
cet-6263	119	1	i	i	PRON
cet-6263	120	1	i	i	PRON
cet-6263	120	2	t	t	NOUN
cet-6263	121	1	t	t	PROPN
cet-6263	121	2	t	t	PROPN
cet-6263	121	3	t	t	PROPN
cet-6263	121	4	t	t	PROPN
cet-6263	121	5	t	t	PROPN
cet-6263	121	6	t	t	PROPN
cet-6263	121	7	t	t	PROPN
cet-6263	121	8	t	t	PROPN
cet-6263	121	9	t	t	PROPN
cet-6263	121	10	t	t	PROPN
cet-6263	121	11	t	t	PROPN
cet-6263	121	12	t	t	PROPN
cet-6263	121	13	t	t	PROPN
cet-6263	121	14	t	t	PROPN
cet-6263	121	15	t	t	PROPN
cet-6263	121	16	t	t	PROPN
cet-6263	121	17	p	p	X
cet-6263	121	18	v	v	PROPN
cet-6263	121	19	b	b	PROPN
cet-6263	121	20	p	p	X
cet-6263	121	21	v	v	X
cet-6263	121	22	b	b	PROPN
cet-6263	121	23	p	p	X
cet-6263	121	24	v	v	ADP
cet-6263	121	25	b	b	PROPN
cet-6263	121	26	p	p	X
cet-6263	121	27	b	b	PROPN
cet-6263	121	28	v	v	ADP
cet-6263	121	29	p	p	PROPN
cet-6263	121	30	b	b	PROPN
cet-6263	121	31	p	p	X
cet-6263	121	32	v	v	X
cet-6263	121	33	b	b	PROPN
cet-6263	121	34	p	p	X
cet-6263	121	35	v	v	X
cet-6263	121	36	b	b	PROPN
cet-6263	121	37	p	p	X
cet-6263	121	38	v	v	ADP
cet-6263	121	39	b	b	PROPN
cet-6263	121	40	p	p	X
cet-6263	121	41	b	b	PROPN
cet-6263	121	42	v	v	ADP
cet-6263	121	43	dk	dk	PROPN
cet-6263	121	44	−	−	PROPN
cet-6263	121	45	−	−	PROPN
cet-6263	122	1	∞=v	∞=v	NOUN
cet-6263	122	2	(	(	PUNCT
cet-6263	122	3	5	5	NUM
cet-6263	122	4	)	)	PUNCT
cet-6263	122	5	as	as	ADP
cet-6263	122	6	1i	1i	NOUN
cet-6263	122	7	it	it	PRON
cet-6263	122	8	tb	tb	ADP
cet-6263	122	9	b	b	NOUN
cet-6263	122	10	−	−	PROPN
cet-6263	122	11	=	=	PUNCT
cet-6263	122	12	is	be	AUX
cet-6263	122	13	assumed	assume	VERB
cet-6263	122	14	,	,	PUNCT
cet-6263	122	15	1	1	NUM
cet-6263	122	16	00	00	NUM
cet-6263	122	17	0	0	NUM
cet-6263	122	18	0	0	NUM
cet-6263	122	19	(	(	PUNCT
cet-6263	122	20	|	|	ADV
cet-6263	122	21	)	)	PUNCT
cet-6263	122	22	(	(	PUNCT
cet-6263	122	23	|	|	ADV
cet-6263	122	24	)	)	PUNCT
cet-6263	122	25	(	(	PUNCT
cet-6263	122	26	|	|	ADV
cet-6263	122	27	)	)	PUNCT
cet-6263	123	1	i	i	PRON
cet-6263	123	2	it	it	PRON
cet-6263	123	3	t	t	VERB
cet-6263	123	4	tp	tp	NOUN
cet-6263	123	5	b	b	PROPN
cet-6263	123	6	v	v	ADP
cet-6263	123	7	p	p	PROPN
cet-6263	123	8	b	b	PROPN
cet-6263	123	9	v	v	ADP
cet-6263	123	10	p	p	PROPN
cet-6263	123	11	b	b	PROPN
cet-6263	123	12	v	v	ADP
cet-6263	123	13	−	−	NOUN
cet-6263	123	14	=	=	SYM
cet-6263	123	15	=	=	SYM
cet-6263	123	16	holds	hold	VERB
cet-6263	123	17	.	.	PUNCT
cet-6263	124	1	this	this	PRON
cet-6263	124	2	largely	largely	ADV
cet-6263	124	3	decreases	decrease	VERB
cet-6263	124	4	the	the	DET
cet-6263	124	5	computational	computational	ADJ
cet-6263	124	6	burden	burden	NOUN
cet-6263	124	7	of	of	ADP
cet-6263	124	8	the	the	DET
cet-6263	124	9	estimation	estimation	NOUN
cet-6263	124	10	process	process	NOUN
cet-6263	124	11	and	and	CCONJ
cet-6263	124	12	this	this	PRON
cet-6263	124	13	is	be	AUX
cet-6263	124	14	another	another	DET
cet-6263	124	15	reason	reason	NOUN
cet-6263	124	16	why	why	SCONJ
cet-6263	124	17	we	we	PRON
cet-6263	124	18	choose	choose	VERB
cet-6263	124	19	the	the	DET
cet-6263	124	20	deterministic	deterministic	ADJ
cet-6263	124	21	form	form	NOUN
cet-6263	124	22	1i	1i	NOUN
cet-6263	124	23	it	it	PRON
cet-6263	124	24	tb	tb	ADP
cet-6263	124	25	b	b	NOUN
cet-6263	124	26	−	−	PROPN
cet-6263	125	1	=	=	PUNCT
cet-6263	125	2	.	.	PUNCT
cet-6263	126	1	then	then	ADV
cet-6263	126	2	the	the	DET
cet-6263	126	3	distribution	distribution	NOUN
cet-6263	126	4	of	of	ADP
cet-6263	126	5	0	0	NUM
cet-6263	126	6	0	0	NUM
cet-6263	126	7	(	(	PUNCT
cet-6263	126	8	|	|	ADV
cet-6263	126	9	)	)	PUNCT
cet-6263	126	10	tp	tp	ADP
cet-6263	126	11	b	b	PROPN
cet-6263	126	12	v	v	NOUN
cet-6263	126	13	is	be	AUX
cet-6263	126	14	essential	essential	ADJ
cet-6263	126	15	to	to	PART
cet-6263	126	16	get	get	VERB
cet-6263	126	17	an	an	DET
cet-6263	126	18	explicit	explicit	ADJ
cet-6263	126	19	solution	solution	NOUN
cet-6263	126	20	of	of	ADP
cet-6263	126	21	equation	equation	NOUN
cet-6263	126	22	(	(	PUNCT
cet-6263	126	23	5	5	NUM
cet-6263	126	24	)	)	PUNCT
cet-6263	126	25	.	.	PUNCT
cet-6263	127	1	in	in	ADP
cet-6263	127	2	banerjee	banerjee	PROPN
cet-6263	127	3	and	and	CCONJ
cet-6263	127	4	bhattacharyya	bhattacharyya	ADJ
cet-6263	127	5	(	(	PUNCT
cet-6263	127	6	1979	1979	NUM
cet-6263	127	7	)	)	PUNCT
cet-6263	127	8	and	and	CCONJ
cet-6263	127	9	seshadri	seshadri	ADJ
cet-6263	127	10	(	(	PUNCT
cet-6263	127	11	1993	1993	NUM
cet-6263	127	12	)	)	PUNCT
cet-6263	127	13	,	,	PUNCT
cet-6263	127	14	it	it	PRON
cet-6263	127	15	has	have	AUX
cet-6263	127	16	been	be	AUX
cet-6263	127	17	established	establish	VERB
cet-6263	127	18	that	that	SCONJ
cet-6263	127	19	if	if	SCONJ
cet-6263	127	20	the	the	DET
cet-6263	127	21	prior	prior	ADJ
cet-6263	127	22	distribution	distribution	NOUN
cet-6263	127	23	of	of	ADP
cet-6263	127	24	a	a	DET
cet-6263	127	25	random	random	ADJ
cet-6263	127	26	variable	variable	NOUN
cet-6263	127	27	follows	follow	VERB
cet-6263	127	28	a	a	DET
cet-6263	127	29	truncated	truncate	VERB
cet-6263	127	30	normal	normal	ADJ
cet-6263	127	31	distribution	distribution	NOUN
cet-6263	127	32	,	,	PUNCT
cet-6263	127	33	left	leave	VERB
cet-6263	127	34	truncated	truncate	VERB
cet-6263	127	35	at	at	ADP
cet-6263	127	36	0	0	NUM
cet-6263	127	37	,	,	PUNCT
cet-6263	127	38	then	then	ADV
cet-6263	127	39	the	the	DET
cet-6263	127	40	posterior	posterior	ADJ
cet-6263	127	41	distribution	distribution	NOUN
cet-6263	127	42	should	should	AUX
cet-6263	127	43	be	be	AUX
cet-6263	127	44	from	from	ADP
cet-6263	127	45	the	the	DET
cet-6263	127	46	gamma	gamma	NOUN
cet-6263	127	47	family	family	NOUN
cet-6263	127	48	.	.	PUNCT
cet-6263	128	1	now	now	ADV
cet-6263	128	2	we	we	PRON
cet-6263	128	3	assume	assume	VERB
cet-6263	128	4	that	that	SCONJ
cet-6263	128	5	the	the	DET
cet-6263	128	6	distribution	distribution	NOUN
cet-6263	128	7	of	of	ADP
cet-6263	128	8	0	0	NUM
cet-6263	128	9	0	0	NUM
cet-6263	128	10	(	(	PUNCT
cet-6263	128	11	|	|	ADV
cet-6263	128	12	)	)	PUNCT
cet-6263	128	13	tp	tp	ADP
cet-6263	128	14	b	b	PROPN
cet-6263	128	15	v	v	NOUN
cet-6263	128	16	follows	follow	VERB
cet-6263	128	17	a	a	DET
cet-6263	128	18	left	left	ADJ
cet-6263	128	19	truncated	truncated	ADJ
cet-6263	128	20	normal	normal	ADJ
cet-6263	128	21	distribution	distribution	NOUN
cet-6263	128	22	with	with	ADP
cet-6263	128	23	parameters	parameter	NOUN
cet-6263	128	24	01	01	NUM
cet-6263	128	25	/	/	SYM
cet-6263	128	26	β	β	NOUN
cet-6263	128	27	and	and	CCONJ
cet-6263	128	28	01	01	NUM
cet-6263	128	29	/τ	/τ	PUNCT
cet-6263	128	30	:	:	PUNCT
cet-6263	128	31	2	2	NUM
cet-6263	128	32	00	00	NUM
cet-6263	128	33	2	2	NUM
cet-6263	128	34	00	00	NUM
cet-6263	128	35	0	0	NUM
cet-6263	128	36	0	0	NUM
cet-6263	128	37	2	2	NUM
cet-6263	128	38	20	20	NUM
cet-6263	128	39	0	0	NUM
cet-6263	128	40	00	00	NUM
cet-6263	128	41	0	0	NUM
cet-6263	128	42	0	0	NUM
cet-6263	128	43	0	0	NUM
cet-6263	128	44	(	(	PUNCT
cet-6263	128	45	1/	1/	NUM
cet-6263	128	46	)	)	PUNCT
cet-6263	128	47	(	(	PUNCT
cet-6263	128	48	1/	1/	NUM
cet-6263	128	49	)	)	PUNCT
cet-6263	128	50	2/	2/	PROPN
cet-6263	128	51	2/	2/	NUM
cet-6263	128	52	0	0	NUM
cet-6263	128	53	0	0	NUM
cet-6263	128	54	(	(	PUNCT
cet-6263	128	55	1/	1/	NUM
cet-6263	128	56	)	)	PUNCT
cet-6263	128	57	(	(	PUNCT
cet-6263	128	58	1/	1/	NUM
cet-6263	128	59	)	)	PUNCT
cet-6263	128	60	2/	2/	NUM
cet-6263	128	61	2/	2/	NUM
cet-6263	128	62	0	0	NUM
cet-6263	128	63	00	00	NUM
cet-6263	128	64	0	0	NUM
cet-6263	128	65	0	0	NUM
cet-6263	128	66	1	1	NUM
cet-6263	128	67	2	2	NUM
cet-6263	128	68	/	/	SYM
cet-6263	128	69	(	(	PUNCT
cet-6263	128	70	|	|	ADV
cet-6263	128	71	)	)	PUNCT
cet-6263	128	72	1	1	NUM
cet-6263	128	73	2	2	NUM
cet-6263	128	74	/	/	SYM
cet-6263	128	75	t	t	PROPN
cet-6263	128	76	t	t	PROPN
cet-6263	128	77	t	t	PROPN
cet-6263	128	78	t	t	PROPN
cet-6263	129	1	b	b	PROPN
cet-6263	129	2	b	b	PROPN
cet-6263	129	3	t	t	PROPN
cet-6263	129	4	b	b	PROPN
cet-6263	129	5	b	b	PROPN
cet-6263	129	6	e	e	PROPN
cet-6263	129	7	ep	ep	PROPN
cet-6263	129	8	b	b	PROPN
cet-6263	129	9	v	v	NUM
cet-6263	129	10	e	e	X
cet-6263	129	11	db	db	PROPN
cet-6263	129	12	e	e	X
cet-6263	129	13	db	db	PROPN
cet-6263	129	14	β	β	X
cet-6263	129	15	βτ	βτ	ADP
cet-6263	129	16	τ	τ	PROPN
cet-6263	129	17	β	β	X
cet-6263	129	18	β	β	X
cet-6263	129	19	τ	τ	X
cet-6263	129	20	τ	τ	PROPN
cet-6263	129	21	π	π	PROPN
cet-6263	129	22	τ	τ	PROPN
cet-6263	129	23	π	π	X
cet-6263	129	24	τ	τ	PROPN
cet-6263	129	25	−	−	NUM
cet-6263	129	26	−	−	PROPN
cet-6263	129	27	−	−	PROPN
cet-6263	129	28	−	−	PROPN
cet-6263	129	29	−	−	PROPN
cet-6263	129	30	−	−	PROPN
cet-6263	129	31	−	−	PROPN
cet-6263	129	32	−∞	−∞	X
cet-6263	129	33	∞	∞	PROPN
cet-6263	129	34	=	=	SYM
cet-6263	129	35	=	=	SYM
cet-6263	129	36	(	(	PUNCT
cet-6263	129	37	6	6	NUM
cet-6263	129	38	)	)	SYM
cet-6263	129	39	333	333	NUM
cet-6263	129	40	substituting	substitute	VERB
cet-6263	129	41	the	the	DET
cet-6263	129	42	pdf	pdf	NOUN
cet-6263	129	43	of	of	ADP
cet-6263	129	44	0	0	NUM
cet-6263	129	45	0	0	NUM
cet-6263	129	46	(	(	PUNCT
cet-6263	129	47	|	|	ADV
cet-6263	129	48	)	)	PUNCT
cet-6263	129	49	tp	tp	ADP
cet-6263	129	50	b	b	PROPN
cet-6263	129	51	v	v	NOUN
cet-6263	129	52	into	into	ADP
cet-6263	129	53	equation	equation	NOUN
cet-6263	129	54	(	(	PUNCT
cet-6263	129	55	5	5	NUM
cet-6263	129	56	)	)	PUNCT
cet-6263	129	57	,	,	PUNCT
cet-6263	129	58	we	we	PRON
cet-6263	129	59	have	have	VERB
cet-6263	129	60	the	the	DET
cet-6263	129	61	distribution	distribution	NOUN
cet-6263	129	62	of	of	ADP
cet-6263	129	63	the	the	DET
cet-6263	129	64	mean	mean	ADJ
cet-6263	129	65	parameter	parameter	NOUN
cet-6263	129	66	it	it	PRON
cet-6263	130	1	b	b	NUM
cet-6263	130	2	detailed	detailed	ADJ
cet-6263	130	3	in	in	ADP
cet-6263	130	4	equation	equation	NOUN
cet-6263	130	5	(	(	PUNCT
cet-6263	130	6	7	7	NUM
cet-6263	130	7	)	)	PUNCT
cet-6263	130	8	through	through	ADP
cet-6263	130	9	several	several	ADJ
cet-6263	130	10	manipulations	manipulation	NOUN
cet-6263	130	11	:	:	PUNCT
cet-6263	131	1	2	2	NUM
cet-6263	131	2	2	2	NUM
cet-6263	131	3	0	0	NUM
cet-6263	131	4	(	(	PUNCT
cet-6263	131	5	1	1	NUM
cet-6263	131	6	/	/	SYM
cet-6263	131	7	)	)	PUNCT
cet-6263	131	8	exp	exp	NOUN
cet-6263	131	9	{	{	PUNCT
cet-6263	131	10	}	}	PUNCT
cet-6263	131	11	2	2	NUM
cet-6263	131	12	(	(	PUNCT
cet-6263	131	13	|	|	ADV
cet-6263	131	14	)	)	PUNCT
cet-6263	131	15	[	[	PUNCT
cet-6263	131	16	1	1	NUM
cet-6263	131	17	/	/	SYM
cet-6263	131	18	]	]	X
cet-6263	131	19	exp	exp	NOUN
cet-6263	131	20	{	{	PUNCT
cet-6263	131	21	}	}	PUNCT
cet-6263	131	22	2	2	NUM
cet-6263	131	23	i	i	PRON
cet-6263	131	24	i	i	PRON
cet-6263	132	1	i	i	PRON
cet-6263	132	2	i	i	PRON
cet-6263	133	1	i	i	PRON
cet-6263	134	1	i	i	PRON
cet-6263	134	2	t	t	VERB
cet-6263	135	1	i	i	PRON
cet-6263	135	2	t	t	NOUN
cet-6263	136	1	t	t	X
cet-6263	137	1	i	i	PRON
cet-6263	137	2	t	t	X
cet-6263	138	1	i	i	PRON
cet-6263	138	2	t	t	PROPN
cet-6263	139	1	b	b	PROPN
cet-6263	139	2	p	p	PROPN
cet-6263	139	3	b	b	PROPN
cet-6263	139	4	b	b	X
cet-6263	139	5	db	db	PROPN
cet-6263	139	6	τ	τ	X
cet-6263	139	7	β	β	X
cet-6263	139	8	τ	τ	PROPN
cet-6263	139	9	β∞	β∞	NUM
cet-6263	139	10	−	−	NUM
cet-6263	139	11	−	−	PROPN
cet-6263	139	12	=	=	SYM
cet-6263	140	1	−	−	PROPN
cet-6263	140	2	−	−	PROPN
cet-6263	140	3	v	v	NOUN
cet-6263	140	4	(	(	PUNCT
cet-6263	140	5	7	7	NUM
cet-6263	140	6	)	)	PUNCT
cet-6263	140	7	where	where	SCONJ
cet-6263	140	8	2	2	NUM
cet-6263	140	9	0	0	SYM
cet-6263	140	10	1	1	NUM
cet-6263	140	11	j	j	NOUN
cet-6263	141	1	i	i	PRON
cet-6263	141	2	i	i	PRON
cet-6263	142	1	t	t	VERB
cet-6263	142	2	j	j	PROPN
cet-6263	142	3	t	t	PROPN
cet-6263	142	4	vτ	vτ	NOUN
cet-6263	142	5	λ	λ	X
cet-6263	142	6	τ	τ	X
cet-6263	143	1	=	=	PUNCT
cet-6263	143	2	=	=	SYM
cet-6263	143	3	δ	δ	PROPN
cet-6263	143	4	+	+	X
cet-6263	143	5	,	,	PUNCT
cet-6263	143	6	0	0	NUM
cet-6263	143	7	0	0	NUM
cet-6263	143	8	2	2	NUM
cet-6263	143	9	0	0	NUM
cet-6263	143	10	1	1	NUM
cet-6263	143	11	/	/	SYM
cet-6263	143	12	(	(	PUNCT
cet-6263	143	13	)	)	SYM
cet-6263	143	14	1	1	NUM
cet-6263	143	15	/	/	SYM
cet-6263	143	16	/	/	SYM
cet-6263	143	17	j	j	NOUN
cet-6263	144	1	i	i	PRON
cet-6263	144	2	i	i	PRON
cet-6263	145	1	t	t	X
cet-6263	145	2	j	j	PROPN
cet-6263	146	1	i	i	PRON
cet-6263	146	2	t	t	PROPN
cet-6263	146	3	t	t	PROPN
cet-6263	146	4	v	v	NOUN
cet-6263	146	5	τ	τ	PROPN
cet-6263	146	6	λββ	λββ	PROPN
cet-6263	146	7	τ	τ	X
cet-6263	146	8	λ	λ	X
cet-6263	146	9	=	=	PUNCT
cet-6263	146	10	δ	δ	PROPN
cet-6263	147	1	+	+	PROPN
cet-6263	147	2	=	=	PROPN
cet-6263	147	3	δ	δ	PROPN
cet-6263	147	4	+	+	X
cet-6263	147	5	.	.	PUNCT
cet-6263	148	1	for	for	ADP
cet-6263	148	2	simplicity	simplicity	NOUN
cet-6263	148	3	,	,	PUNCT
cet-6263	148	4	we	we	PRON
cet-6263	148	5	let	let	VERB
cet-6263	148	6	0	0	NUM
cet-6263	148	7	0τ	0τ	ADJ
cet-6263	148	8	αλβ=	αλβ=	PROPN
cet-6263	148	9	,	,	PUNCT
cet-6263	148	10	then	then	ADV
cet-6263	148	11	the	the	DET
cet-6263	148	12	parameters	parameter	NOUN
cet-6263	148	13	iβ	iβ	ADP
cet-6263	148	14	and	and	CCONJ
cet-6263	148	15	iτ	iτ	NOUN
cet-6263	148	16	in	in	ADP
cet-6263	148	17	the	the	DET
cet-6263	148	18	pdf	pdf	NOUN
cet-6263	148	19	(	(	PUNCT
cet-6263	148	20	|	|	ADV
cet-6263	148	21	)	)	PUNCT
cet-6263	148	22	i	i	PRON
cet-6263	148	23	it	it	PRON
cet-6263	148	24	tp	tp	ADP
cet-6263	148	25	b	b	NOUN
cet-6263	148	26	v	v	NOUN
cet-6263	148	27	can	can	AUX
cet-6263	148	28	be	be	AUX
cet-6263	148	29	expressed	express	VERB
cet-6263	148	30	in	in	ADP
cet-6263	148	31	terms	term	NOUN
cet-6263	148	32	of	of	ADP
cet-6263	148	33	parameters	parameter	NOUN
cet-6263	148	34	λ	λ	PROPN
cet-6263	148	35	,	,	PUNCT
cet-6263	148	36	α	α	NOUN
cet-6263	148	37	and	and	CCONJ
cet-6263	148	38	0β	0β	NOUN
cet-6263	148	39	as	as	ADP
cet-6263	148	40	.	.	PROPN
cet-6263	148	41	2	2	NUM
cet-6263	148	42	0	0	NUM
cet-6263	148	43	1	1	NUM
cet-6263	148	44	2	2	NUM
cet-6263	148	45	0	0	NUM
cet-6263	148	46	1	1	NUM
cet-6263	148	47	,	,	PUNCT
cet-6263	149	1	j	j	PROPN
cet-6263	149	2	j	j	PROPN
cet-6263	150	1	i	i	PRON
cet-6263	150	2	t	t	VERB
cet-6263	151	1	i	i	PRON
cet-6263	151	2	j	j	INTJ
cet-6263	152	1	i	i	PRON
cet-6263	153	1	i	i	PRON
cet-6263	153	2	t	t	VERB
cet-6263	154	1	j	j	PROPN
cet-6263	155	1	t	t	PROPN
cet-6263	155	2	v	v	NOUN
cet-6263	155	3	t	t	PROPN
cet-6263	155	4	v	v	NOUN
cet-6263	156	1	i	i	PRON
cet-6263	156	2	t	t	VERB
cet-6263	156	3	αβ	αβ	INTJ
cet-6263	156	4	β	β	X
cet-6263	156	5	τ	τ	X
cet-6263	157	1	λ	λ	INTJ
cet-6263	157	2	αλβ	αλβ	PROPN
cet-6263	157	3	α	α	NOUN
cet-6263	157	4	=	=	PUNCT
cet-6263	157	5	=	=	PUNCT
cet-6263	157	6	δ	δ	PROPN
cet-6263	157	7	+	+	X
cet-6263	157	8	=	=	SYM
cet-6263	157	9	=	=	SYM
cet-6263	157	10	δ	δ	PROPN
cet-6263	157	11	+	+	CCONJ
cet-6263	157	12	δ	δ	PROPN
cet-6263	157	13	+	+	X
cet-6263	157	14	(	(	PUNCT
cet-6263	157	15	8)	8)	NUM
cet-6263	157	16	having	have	VERB
cet-6263	157	17	the	the	DET
cet-6263	157	18	density	density	NOUN
cet-6263	157	19	function	function	NOUN
cet-6263	157	20	of	of	ADP
cet-6263	157	21	(	(	PUNCT
cet-6263	157	22	|	|	ADV
cet-6263	157	23	)	)	PUNCT
cet-6263	157	24	i	i	PRON
cet-6263	157	25	it	it	PRON
cet-6263	157	26	tp	tp	ADP
cet-6263	157	27	b	b	PROPN
cet-6263	157	28	v	v	NOUN
cet-6263	157	29	available	available	ADJ
cet-6263	157	30	,	,	PUNCT
cet-6263	157	31	we	we	PRON
cet-6263	157	32	can	can	AUX
cet-6263	157	33	substitute	substitute	VERB
cet-6263	157	34	the	the	DET
cet-6263	157	35	mean	mean	NOUN
cet-6263	157	36	of	of	ADP
cet-6263	157	37	it	it	PRON
cet-6263	157	38	b	b	NOUN
cet-6263	157	39	into	into	ADP
cet-6263	157	40	equation	equation	NOUN
cet-6263	157	41	(	(	PUNCT
cet-6263	157	42	1	1	NUM
cet-6263	157	43	)	)	PUNCT
cet-6263	157	44	in	in	ADP
cet-6263	157	45	order	order	NOUN
cet-6263	157	46	to	to	PART
cet-6263	157	47	get	get	VERB
cet-6263	157	48	the	the	DET
cet-6263	157	49	time	time	NOUN
cet-6263	157	50	to	to	ADP
cet-6263	157	51	failure	failure	NOUN
cet-6263	157	52	or	or	CCONJ
cet-6263	157	53	rul	rul	NOUN
cet-6263	157	54	at	at	ADP
cet-6263	157	55	each	each	DET
cet-6263	157	56	monitored	monitor	VERB
cet-6263	157	57	point	point	NOUN
cet-6263	157	58	.	.	PUNCT
cet-6263	158	1	alternatively	alternatively	ADV
cet-6263	158	2	,	,	PUNCT
cet-6263	158	3	we	we	PRON
cet-6263	158	4	could	could	AUX
cet-6263	158	5	utilize	utilize	VERB
cet-6263	158	6	the	the	DET
cet-6263	158	7	whole	whole	ADJ
cet-6263	158	8	distribution	distribution	NOUN
cet-6263	158	9	of	of	ADP
cet-6263	158	10	(	(	PUNCT
cet-6263	158	11	|	|	ADV
cet-6263	158	12	)	)	PUNCT
cet-6263	158	13	i	i	PRON
cet-6263	158	14	it	it	PRON
cet-6263	158	15	tp	tp	ADP
cet-6263	158	16	b	b	PROPN
cet-6263	158	17	v	v	NOUN
cet-6263	158	18	for	for	ADP
cet-6263	158	19	the	the	DET
cet-6263	158	20	calculation	calculation	NOUN
cet-6263	158	21	of	of	ADP
cet-6263	158	22	rul	rul	NOUN
cet-6263	158	23	as	as	SCONJ
cet-6263	158	24	discussed	discuss	VERB
cet-6263	158	25	in	in	ADP
cet-6263	158	26	si	si	PROPN
cet-6263	158	27	et	et	PROPN
cet-6263	158	28	al	al	PROPN
cet-6263	158	29	.	.	PROPN
cet-6263	159	1	(	(	PUNCT
cet-6263	159	2	2013	2013	NUM
cet-6263	159	3	)	)	PUNCT
cet-6263	159	4	.	.	PUNCT
cet-6263	160	1	3	3	X
cet-6263	160	2	.	.	X
cet-6263	160	3	numerical	numerical	ADJ
cet-6263	160	4	example	example	NOUN
cet-6263	160	5	in	in	ADP
cet-6263	160	6	this	this	DET
cet-6263	160	7	section	section	NOUN
cet-6263	160	8	,	,	PUNCT
cet-6263	160	9	we	we	PRON
cet-6263	160	10	provide	provide	VERB
cet-6263	160	11	a	a	DET
cet-6263	160	12	numerical	numerical	ADJ
cet-6263	160	13	example	example	NOUN
cet-6263	160	14	of	of	ADP
cet-6263	160	15	crack	crack	VERB
cet-6263	160	16	growth	growth	NOUN
cet-6263	160	17	to	to	PART
cet-6263	160	18	demonstrate	demonstrate	VERB
cet-6263	160	19	the	the	DET
cet-6263	160	20	performance	performance	NOUN
cet-6263	160	21	of	of	ADP
cet-6263	160	22	an	an	DET
cet-6263	160	23	adaptive	adaptive	ADJ
cet-6263	160	24	inverse	inverse	NOUN
cet-6263	160	25	gaussian	gaussian	NOUN
cet-6263	160	26	process	process	NOUN
cet-6263	160	27	based	base	VERB
cet-6263	160	28	degradation	degradation	NOUN
cet-6263	160	29	model	model	NOUN
cet-6263	160	30	and	and	CCONJ
cet-6263	160	31	the	the	DET
cet-6263	160	32	conventional	conventional	ADJ
cet-6263	160	33	inverse	inverse	ADJ
cet-6263	160	34	gaussian	gaussian	NOUN
cet-6263	160	35	model	model	NOUN
cet-6263	160	36	.	.	PUNCT
cet-6263	161	1	the	the	DET
cet-6263	161	2	crack	crack	NOUN
cet-6263	161	3	growth	growth	NOUN
cet-6263	161	4	data	datum	NOUN
cet-6263	161	5	are	be	AUX
cet-6263	161	6	from	from	ADP
cet-6263	161	7	lu	lu	PROPN
cet-6263	161	8	and	and	CCONJ
cet-6263	161	9	meeker	meeker	NOUN
cet-6263	161	10	(	(	PUNCT
cet-6263	161	11	1993).the	1993).the	PRON
cet-6263	161	12	expectation	expectation	NOUN
cet-6263	161	13	maximization	maximization	NOUN
cet-6263	161	14	(	(	PUNCT
cet-6263	161	15	em	em	NOUN
cet-6263	161	16	)	)	PUNCT
cet-6263	161	17	algorithm	algorithm	NOUN
cet-6263	161	18	(	(	PUNCT
cet-6263	161	19	dempster	dempster	PROPN
cet-6263	161	20	et	et	PROPN
cet-6263	161	21	al	al	PROPN
cet-6263	161	22	.	.	PROPN
cet-6263	161	23	,	,	PUNCT
cet-6263	161	24	1977	1977	NUM
cet-6263	161	25	)	)	PUNCT
cet-6263	161	26	is	be	AUX
cet-6263	161	27	applied	apply	VERB
cet-6263	161	28	for	for	ADP
cet-6263	161	29	parameter	parameter	NOUN
cet-6263	161	30	estimation	estimation	NOUN
cet-6263	161	31	as	as	SCONJ
cet-6263	161	32	hidden	hide	VERB
cet-6263	161	33	variable	variable	NOUN
cet-6263	161	34	is	be	AUX
cet-6263	161	35	used	use	VERB
cet-6263	161	36	in	in	ADP
cet-6263	161	37	our	our	PRON
cet-6263	161	38	model	model	NOUN
cet-6263	161	39	.	.	PUNCT
cet-6263	162	1	the	the	DET
cet-6263	162	2	parameters	parameter	NOUN
cet-6263	162	3	in	in	ADP
cet-6263	162	4	the	the	DET
cet-6263	162	5	conventional	conventional	ADJ
cet-6263	162	6	inverse	inverse	NOUN
cet-6263	162	7	gaussian	gaussian	NOUN
cet-6263	162	8	model	model	NOUN
cet-6263	162	9	are	be	AUX
cet-6263	162	10	estimated	estimate	VERB
cet-6263	162	11	using	use	VERB
cet-6263	162	12	the	the	DET
cet-6263	162	13	maximum	maximum	ADJ
cet-6263	162	14	likelihood	likelihood	NOUN
cet-6263	162	15	estimation	estimation	NOUN
cet-6263	162	16	algorithm	algorithm	NOUN
cet-6263	162	17	(	(	PUNCT
cet-6263	162	18	kendall	kendall	PROPN
cet-6263	162	19	and	and	CCONJ
cet-6263	162	20	alan	alan	PROPN
cet-6263	162	21	,	,	PUNCT
cet-6263	162	22	1973	1973	NUM
cet-6263	162	23	)	)	PUNCT
cet-6263	162	24	.	.	PUNCT
cet-6263	163	1	the	the	DET
cet-6263	163	2	estimated	estimate	VERB
cet-6263	163	3	parameters	parameter	NOUN
cet-6263	163	4	for	for	ADP
cet-6263	163	5	both	both	DET
cet-6263	163	6	models	model	NOUN
cet-6263	163	7	are	be	AUX
cet-6263	163	8	presented	present	VERB
cet-6263	163	9	in	in	ADP
cet-6263	163	10	table	table	NOUN
cet-6263	163	11	1	1	NUM
cet-6263	163	12	.	.	PUNCT
cet-6263	163	13	table	table	NOUN
cet-6263	163	14	1	1	NUM
cet-6263	163	15	estimated	estimate	VERB
cet-6263	163	16	parameter	parameter	NOUN
cet-6263	163	17	values	value	NOUN
cet-6263	163	18	for	for	ADP
cet-6263	163	19	both	both	DET
cet-6263	163	20	models	model	NOUN
cet-6263	163	21	parameter	parameter	VERB
cet-6263	163	22	adaptive	adaptive	ADJ
cet-6263	163	23	model	model	NOUN
cet-6263	163	24	parameter	parameter	PROPN
cet-6263	163	25	conventional	conventional	ADJ
cet-6263	163	26	model	model	NOUN
cet-6263	163	27	0	0	NUM
cet-6263	163	28	31.6860	31.6860	NUM
cet-6263	163	29	61.7136	61.7136	NUM
cet-6263	163	30	b	b	NOUN
cet-6263	163	31	0.0602	0.0602	NUM
cet-6263	163	32	0.1863	0.1863	NUM
cet-6263	163	33	0.3240	0.3240	NUM
cet-6263	163	34	using	use	VERB
cet-6263	163	35	the	the	DET
cet-6263	163	36	estimated	estimate	VERB
cet-6263	163	37	increments	increment	NOUN
cet-6263	163	38	,	,	PUNCT
cet-6263	163	39	the	the	DET
cet-6263	163	40	tracking	tracking	NOUN
cet-6263	163	41	ability	ability	NOUN
cet-6263	163	42	of	of	ADP
cet-6263	163	43	the	the	DET
cet-6263	163	44	adaptive	adaptive	ADJ
cet-6263	163	45	model	model	NOUN
cet-6263	163	46	can	can	AUX
cet-6263	163	47	be	be	AUX
cet-6263	163	48	demonstrated	demonstrate	VERB
cet-6263	163	49	.	.	PUNCT
cet-6263	164	1	figure	figure	NOUN
cet-6263	164	2	1	1	NUM
cet-6263	164	3	compares	compare	VERB
cet-6263	164	4	the	the	DET
cet-6263	164	5	length	length	NOUN
cet-6263	164	6	of	of	ADP
cet-6263	164	7	a	a	DET
cet-6263	164	8	real	real	ADJ
cet-6263	164	9	crack	crack	NOUN
cet-6263	164	10	and	and	CCONJ
cet-6263	164	11	the	the	DET
cet-6263	164	12	predicted	predict	VERB
cet-6263	164	13	results	result	NOUN
cet-6263	164	14	of	of	ADP
cet-6263	164	15	the	the	DET
cet-6263	164	16	crack	crack	NOUN
cet-6263	164	17	length	length	NOUN
cet-6263	164	18	.	.	PUNCT
cet-6263	165	1	it	it	PRON
cet-6263	165	2	can	can	AUX
cet-6263	165	3	be	be	AUX
cet-6263	165	4	seen	see	VERB
cet-6263	165	5	that	that	SCONJ
cet-6263	165	6	the	the	DET
cet-6263	165	7	predicted	predict	VERB
cet-6263	165	8	results	result	NOUN
cet-6263	165	9	from	from	ADP
cet-6263	165	10	the	the	DET
cet-6263	165	11	adaptive	adaptive	ADJ
cet-6263	165	12	model	model	NOUN
cet-6263	165	13	are	be	AUX
cet-6263	165	14	closer	close	ADJ
cet-6263	165	15	to	to	ADP
cet-6263	165	16	the	the	DET
cet-6263	165	17	real	real	ADJ
cet-6263	165	18	data	datum	NOUN
cet-6263	165	19	.	.	PUNCT
cet-6263	166	1	it	it	PRON
cet-6263	166	2	should	should	AUX
cet-6263	166	3	be	be	AUX
cet-6263	166	4	noted	note	VERB
cet-6263	166	5	that	that	SCONJ
cet-6263	166	6	the	the	DET
cet-6263	166	7	real	real	ADJ
cet-6263	166	8	crack	crack	NOUN
cet-6263	166	9	length	length	NOUN
cet-6263	166	10	increases	increase	NOUN
cet-6263	166	11	at	at	ADP
cet-6263	166	12	a	a	DET
cet-6263	166	13	higher	high	ADJ
cet-6263	166	14	rate	rate	NOUN
cet-6263	166	15	after	after	ADP
cet-6263	166	16	check	check	NOUN
cet-6263	166	17	time	time	NOUN
cet-6263	166	18	eight	eight	NUM
cet-6263	166	19	.	.	PUNCT
cet-6263	167	1	since	since	SCONJ
cet-6263	167	2	the	the	DET
cet-6263	167	3	adaptive	adaptive	ADJ
cet-6263	167	4	model	model	NOUN
cet-6263	167	5	adjusts	adjust	VERB
cet-6263	167	6	its	its	PRON
cet-6263	167	7	parameters	parameter	NOUN
cet-6263	167	8	from	from	ADP
cet-6263	167	9	new	new	ADJ
cet-6263	167	10	observed	observed	ADJ
cet-6263	167	11	information	information	NOUN
cet-6263	167	12	,	,	PUNCT
cet-6263	167	13	the	the	DET
cet-6263	167	14	new	new	ADJ
cet-6263	167	15	crack	crack	NOUN
cet-6263	167	16	length	length	NOUN
cet-6263	167	17	information	information	NOUN
cet-6263	167	18	is	be	AUX
cet-6263	167	19	utilized	utilize	VERB
cet-6263	167	20	in	in	ADP
cet-6263	167	21	the	the	DET
cet-6263	167	22	model	model	NOUN
cet-6263	167	23	to	to	PART
cet-6263	167	24	update	update	VERB
cet-6263	167	25	the	the	DET
cet-6263	167	26	parameters	parameter	NOUN
cet-6263	167	27	for	for	ADP
cet-6263	167	28	future	future	ADJ
cet-6263	167	29	prediction	prediction	NOUN
cet-6263	167	30	after	after	ADP
cet-6263	167	31	each	each	PRON
cet-6263	167	32	check	check	VERB
cet-6263	167	33	time	time	NOUN
cet-6263	167	34	.	.	PUNCT
cet-6263	168	1	from	from	ADP
cet-6263	168	2	figure	figure	NOUN
cet-6263	168	3	1	1	NUM
cet-6263	168	4	,	,	PUNCT
cet-6263	168	5	it	it	PRON
cet-6263	168	6	is	be	AUX
cet-6263	168	7	shown	show	VERB
cet-6263	168	8	that	that	SCONJ
cet-6263	168	9	the	the	DET
cet-6263	168	10	estimated	estimate	VERB
cet-6263	168	11	crack	crack	NOUN
cet-6263	168	12	length	length	NOUN
cet-6263	168	13	agrees	agree	VERB
cet-6263	168	14	with	with	ADP
cet-6263	168	15	the	the	DET
cet-6263	168	16	suddenly	suddenly	ADV
cet-6263	168	17	increasing	increase	VERB
cet-6263	168	18	rate	rate	NOUN
cet-6263	168	19	of	of	ADP
cet-6263	168	20	the	the	DET
cet-6263	168	21	real	real	ADJ
cet-6263	168	22	crack	crack	NOUN
cet-6263	168	23	growth	growth	NOUN
cet-6263	168	24	at	at	ADP
cet-6263	168	25	check	check	NOUN
cet-6263	168	26	point	point	NOUN
cet-6263	168	27	eight	eight	NUM
cet-6263	168	28	and	and	CCONJ
cet-6263	168	29	the	the	DET
cet-6263	168	30	adaptive	adaptive	ADJ
cet-6263	168	31	model	model	NOUN
cet-6263	168	32	quickly	quickly	ADV
cet-6263	168	33	catches	catch	VERB
cet-6263	168	34	up	up	ADP
cet-6263	168	35	with	with	ADP
cet-6263	168	36	this	this	DET
cet-6263	168	37	change	change	NOUN
cet-6263	168	38	,	,	PUNCT
cet-6263	168	39	by	by	ADP
cet-6263	168	40	adjusting	adjust	VERB
cet-6263	168	41	itself	itself	PRON
cet-6263	168	42	to	to	PART
cet-6263	168	43	follow	follow	VERB
cet-6263	168	44	the	the	DET
cet-6263	168	45	real	real	ADJ
cet-6263	168	46	situation	situation	NOUN
cet-6263	168	47	.	.	PUNCT
cet-6263	169	1	using	use	VERB
cet-6263	169	2	the	the	DET
cet-6263	169	3	estimated	estimate	VERB
cet-6263	169	4	parameters	parameter	NOUN
cet-6263	169	5	,	,	PUNCT
cet-6263	169	6	we	we	PRON
cet-6263	169	7	can	can	AUX
cet-6263	169	8	also	also	ADV
cet-6263	169	9	derive	derive	VERB
cet-6263	169	10	the	the	DET
cet-6263	169	11	pdf	pdf	NOUN
cet-6263	169	12	of	of	ADP
cet-6263	169	13	the	the	DET
cet-6263	169	14	failure	failure	NOUN
cet-6263	169	15	time	time	NOUN
cet-6263	169	16	or	or	CCONJ
cet-6263	169	17	rul	rul	NOUN
cet-6263	169	18	using	use	VERB
cet-6263	169	19	equation	equation	NOUN
cet-6263	169	20	(	(	PUNCT
cet-6263	169	21	1	1	NUM
cet-6263	169	22	)	)	PUNCT
cet-6263	169	23	.	.	PUNCT
cet-6263	170	1	for	for	ADP
cet-6263	170	2	comparison	comparison	NOUN
cet-6263	170	3	purposes	purpose	NOUN
cet-6263	170	4	,	,	PUNCT
cet-6263	170	5	we	we	PRON
cet-6263	170	6	plot	plot	VERB
cet-6263	170	7	the	the	DET
cet-6263	170	8	rul	rul	NOUN
cet-6263	170	9	pdfs	pdfs	NOUN
cet-6263	170	10	for	for	ADP
cet-6263	170	11	both	both	DET
cet-6263	170	12	models	model	NOUN
cet-6263	170	13	,	,	PUNCT
cet-6263	170	14	the	the	DET
cet-6263	170	15	adaptive	adaptive	ADJ
cet-6263	170	16	inverse	inverse	NOUN
cet-6263	170	17	gaussian	gaussian	NOUN
cet-6263	170	18	based	base	VERB
cet-6263	170	19	model	model	NOUN
cet-6263	170	20	and	and	CCONJ
cet-6263	170	21	the	the	DET
cet-6263	170	22	conventional	conventional	ADJ
cet-6263	170	23	inverse	inverse	NOUN
cet-6263	170	24	gaussian	gaussian	NOUN
cet-6263	170	25	based	base	VERB
cet-6263	170	26	model	model	NOUN
cet-6263	170	27	,	,	PUNCT
cet-6263	170	28	in	in	ADP
cet-6263	170	29	figure	figure	NOUN
cet-6263	170	30	2	2	NUM
cet-6263	170	31	.	.	PUNCT
cet-6263	171	1	the	the	DET
cet-6263	171	2	real	real	ADJ
cet-6263	171	3	ruls	rul	NOUN
cet-6263	171	4	are	be	AUX
cet-6263	171	5	lying	lie	VERB
cet-6263	171	6	in	in	ADP
cet-6263	171	7	95	95	NUM
cet-6263	171	8	%	%	NOUN
cet-6263	171	9	confidence	confidence	NOUN
cet-6263	171	10	interval	interval	NOUN
cet-6263	171	11	of	of	ADP
cet-6263	171	12	rul	rul	NOUN
cet-6263	171	13	distribution	distribution	NOUN
cet-6263	171	14	obtained	obtain	VERB
cet-6263	171	15	from	from	ADP
cet-6263	171	16	the	the	DET
cet-6263	171	17	adaptive	adaptive	ADJ
cet-6263	171	18	model	model	NOUN
cet-6263	171	19	at	at	ADP
cet-6263	171	20	each	each	DET
cet-6263	171	21	cm	cm	NOUN
cet-6263	171	22	point	point	NOUN
cet-6263	171	23	.	.	PUNCT
cet-6263	172	1	while	while	SCONJ
cet-6263	172	2	for	for	ADP
cet-6263	172	3	the	the	DET
cet-6263	172	4	334	334	NUM
cet-6263	172	5	rul	rul	NOUN
cet-6263	172	6	distribution	distribution	NOUN
cet-6263	172	7	obtained	obtain	VERB
cet-6263	172	8	from	from	ADP
cet-6263	172	9	conventional	conventional	ADJ
cet-6263	172	10	model	model	NOUN
cet-6263	172	11	,	,	PUNCT
cet-6263	172	12	the	the	DET
cet-6263	172	13	real	real	ADJ
cet-6263	172	14	rul	rul	NOUN
cet-6263	172	15	at	at	ADP
cet-6263	172	16	the	the	DET
cet-6263	172	17	last	last	ADJ
cet-6263	172	18	cm	cm	NOUN
cet-6263	172	19	point	point	NOUN
cet-6263	172	20	falls	fall	VERB
cet-6263	172	21	out	out	ADP
cet-6263	172	22	of	of	ADP
cet-6263	172	23	the	the	DET
cet-6263	172	24	95	95	NUM
cet-6263	172	25	%	%	NOUN
cet-6263	172	26	confidence	confidence	NOUN
cet-6263	172	27	interval	interval	NOUN
cet-6263	172	28	.	.	PUNCT
cet-6263	173	1	in	in	ADP
cet-6263	173	2	addition	addition	NOUN
cet-6263	173	3	,	,	PUNCT
cet-6263	173	4	the	the	DET
cet-6263	173	5	real	real	ADJ
cet-6263	173	6	ruls	rul	NOUN
cet-6263	173	7	are	be	AUX
cet-6263	173	8	noticeably	noticeably	ADV
cet-6263	173	9	much	much	ADV
cet-6263	173	10	closer	close	ADJ
cet-6263	173	11	to	to	ADP
cet-6263	173	12	the	the	DET
cet-6263	173	13	modes	mode	NOUN
cet-6263	173	14	of	of	ADP
cet-6263	173	15	the	the	DET
cet-6263	173	16	rul	rul	NOUN
cet-6263	173	17	distributions	distribution	NOUN
cet-6263	173	18	obtained	obtain	VERB
cet-6263	173	19	from	from	ADP
cet-6263	173	20	the	the	DET
cet-6263	173	21	adaptive	adaptive	ADJ
cet-6263	173	22	model	model	NOUN
cet-6263	173	23	as	as	ADP
cet-6263	173	24	time	time	NOUN
cet-6263	173	25	progresses	progress	NOUN
cet-6263	173	26	.	.	PUNCT
cet-6263	174	1	furthermore	furthermore	ADV
cet-6263	174	2	,	,	PUNCT
cet-6263	174	3	the	the	DET
cet-6263	174	4	variances	variance	NOUN
cet-6263	174	5	of	of	ADP
cet-6263	174	6	the	the	DET
cet-6263	174	7	ruls	rul	NOUN
cet-6263	174	8	produced	produce	VERB
cet-6263	174	9	by	by	ADP
cet-6263	174	10	the	the	DET
cet-6263	174	11	adaptive	adaptive	ADJ
cet-6263	174	12	model	model	NOUN
cet-6263	174	13	are	be	AUX
cet-6263	174	14	apparently	apparently	ADV
cet-6263	174	15	smaller	small	ADJ
cet-6263	174	16	than	than	ADP
cet-6263	174	17	those	those	PRON
cet-6263	174	18	of	of	ADP
cet-6263	174	19	the	the	DET
cet-6263	174	20	conventional	conventional	ADJ
cet-6263	174	21	model	model	NOUN
cet-6263	174	22	,	,	PUNCT
cet-6263	174	23	which	which	PRON
cet-6263	174	24	shows	show	VERB
cet-6263	174	25	that	that	SCONJ
cet-6263	174	26	the	the	DET
cet-6263	174	27	predictive	predictive	ADJ
cet-6263	174	28	accuracy	accuracy	NOUN
cet-6263	174	29	of	of	ADP
cet-6263	174	30	the	the	DET
cet-6263	174	31	former	former	ADJ
cet-6263	174	32	is	be	AUX
cet-6263	174	33	better	well	ADJ
cet-6263	174	34	than	than	ADP
cet-6263	174	35	that	that	PRON
cet-6263	174	36	of	of	ADP
cet-6263	174	37	the	the	DET
cet-6263	174	38	latter	latter	ADJ
cet-6263	174	39	.	.	PUNCT
cet-6263	175	1	0	0	NUM
cet-6263	175	2	2	2	NUM
cet-6263	175	3	4	4	NUM
cet-6263	175	4	6	6	NUM
cet-6263	175	5	8	8	NUM
cet-6263	175	6	10	10	NUM
cet-6263	175	7	0.9	0.9	NUM
cet-6263	175	8	1	1	NUM
cet-6263	175	9	1.1	1.1	NUM
cet-6263	175	10	1.2	1.2	NUM
cet-6263	175	11	1.3	1.3	NUM
cet-6263	175	12	1.4	1.4	NUM
cet-6263	175	13	1.5	1.5	NUM
cet-6263	175	14	1.6	1.6	NUM
cet-6263	175	15	time	time	NOUN
cet-6263	175	16	c	c	PROPN
cet-6263	175	17	ra	ra	INTJ
cet-6263	175	18	ck	ck	INTJ
cet-6263	175	19	le	le	X
cet-6263	175	20	ng	ng	PROPN
cet-6263	175	21	th	th	X
cet-6263	175	22	real	real	ADJ
cet-6263	175	23	crack	crack	NOUN
cet-6263	175	24	length	length	NOUN
cet-6263	175	25	estimated	estimate	VERB
cet-6263	175	26	mean	mean	NOUN
cet-6263	175	27	crack	crack	NOUN
cet-6263	175	28	length	length	NOUN
cet-6263	175	29	figure	figure	NOUN
cet-6263	175	30	1	1	NUM
cet-6263	175	31	crack	crack	NOUN
cet-6263	175	32	length	length	NOUN
cet-6263	175	33	prediction	prediction	NOUN
cet-6263	175	34	figure	figure	NOUN
cet-6263	175	35	2	2	NUM
cet-6263	175	36	residual	residual	ADJ
cet-6263	175	37	life	life	NOUN
cet-6263	175	38	pdfs	pdfs	NOUN
cet-6263	175	39	of	of	ADP
cet-6263	175	40	adaptive	adaptive	ADJ
cet-6263	175	41	inverse	inverse	NOUN
cet-6263	175	42	gaussian	gaussian	NOUN
cet-6263	175	43	model	model	NOUN
cet-6263	175	44	(	(	PUNCT
cet-6263	175	45	blue	blue	ADJ
cet-6263	175	46	)	)	PUNCT
cet-6263	175	47	and	and	CCONJ
cet-6263	175	48	conventional	conventional	ADJ
cet-6263	175	49	inverse	inverse	ADJ
cet-6263	175	50	gaussian	gaussian	NOUN
cet-6263	175	51	model	model	NOUN
cet-6263	175	52	(	(	PUNCT
cet-6263	175	53	red	red	ADJ
cet-6263	175	54	bold	bold	NOUN
cet-6263	175	55	)	)	PUNCT
cet-6263	175	56	in	in	ADP
cet-6263	175	57	addition	addition	NOUN
cet-6263	175	58	,	,	PUNCT
cet-6263	175	59	we	we	PRON
cet-6263	175	60	compare	compare	VERB
cet-6263	175	61	,	,	PUNCT
cet-6263	175	62	for	for	ADP
cet-6263	175	63	each	each	DET
cet-6263	175	64	testing	testing	NOUN
cet-6263	175	65	data	datum	NOUN
cet-6263	175	66	group	group	NOUN
cet-6263	175	67	,	,	PUNCT
cet-6263	175	68	the	the	DET
cet-6263	175	69	probabilities	probability	NOUN
cet-6263	175	70	of	of	ADP
cet-6263	175	71	late	late	ADJ
cet-6263	175	72	prediction	prediction	NOUN
cet-6263	175	73	of	of	ADP
cet-6263	175	74	both	both	DET
cet-6263	175	75	models	model	NOUN
cet-6263	175	76	in	in	ADP
cet-6263	175	77	table	table	NOUN
cet-6263	175	78	2	2	NUM
cet-6263	175	79	,	,	PUNCT
cet-6263	175	80	which	which	PRON
cet-6263	175	81	are	be	AUX
cet-6263	175	82	the	the	DET
cet-6263	175	83	probabilities	probability	NOUN
cet-6263	175	84	of	of	ADP
cet-6263	175	85	predicting	predict	VERB
cet-6263	175	86	the	the	DET
cet-6263	175	87	rul	rul	NOUN
cet-6263	175	88	later	later	ADV
cet-6263	175	89	than	than	ADP
cet-6263	175	90	the	the	DET
cet-6263	175	91	real	real	ADJ
cet-6263	175	92	rul	rul	NOUN
cet-6263	175	93	.	.	PUNCT
cet-6263	176	1	in	in	ADP
cet-6263	176	2	asset	asset	NOUN
cet-6263	176	3	management	management	NOUN
cet-6263	176	4	,	,	PUNCT
cet-6263	176	5	late	late	ADJ
cet-6263	176	6	predictions	prediction	NOUN
cet-6263	176	7	might	might	AUX
cet-6263	176	8	cause	cause	VERB
cet-6263	176	9	catastrophic	catastrophic	ADJ
cet-6263	176	10	consequences	consequence	NOUN
cet-6263	176	11	and	and	CCONJ
cet-6263	176	12	late	late	ADJ
cet-6263	176	13	alarms	alarm	NOUN
cet-6263	176	14	will	will	AUX
cet-6263	176	15	be	be	AUX
cet-6263	176	16	punished	punish	VERB
cet-6263	176	17	heavily	heavily	ADV
cet-6263	176	18	.	.	PUNCT
cet-6263	177	1	thus	thus	ADV
cet-6263	177	2	the	the	DET
cet-6263	177	3	probability	probability	NOUN
cet-6263	177	4	of	of	ADP
cet-6263	177	5	late	late	ADJ
cet-6263	177	6	prediction	prediction	NOUN
cet-6263	177	7	is	be	AUX
cet-6263	177	8	usually	usually	ADV
cet-6263	177	9	used	use	VERB
cet-6263	177	10	as	as	ADP
cet-6263	177	11	a	a	DET
cet-6263	177	12	popular	popular	ADJ
cet-6263	177	13	criterion	criterion	NOUN
cet-6263	177	14	for	for	ADP
cet-6263	177	15	many	many	ADJ
cet-6263	177	16	safety	safety	NOUN
cet-6263	177	17	critical	critical	ADJ
cet-6263	177	18	systems	system	NOUN
cet-6263	177	19	.	.	PUNCT
cet-6263	178	1	a	a	DET
cet-6263	178	2	smaller	small	ADJ
cet-6263	178	3	probability	probability	NOUN
cet-6263	178	4	of	of	ADP
cet-6263	178	5	late	late	ADJ
cet-6263	178	6	prediction	prediction	NOUN
cet-6263	178	7	commonly	commonly	ADV
cet-6263	178	8	ensures	ensure	VERB
cet-6263	178	9	a	a	DET
cet-6263	178	10	higher	high	ADJ
cet-6263	178	11	reliability	reliability	NOUN
cet-6263	178	12	of	of	ADP
cet-6263	178	13	the	the	DET
cet-6263	178	14	system	system	NOUN
cet-6263	178	15	.	.	PUNCT
cet-6263	179	1	table	table	NOUN
cet-6263	179	2	2	2	NUM
cet-6263	179	3	average	average	ADJ
cet-6263	179	4	late	late	ADJ
cet-6263	179	5	prediction	prediction	NOUN
cet-6263	179	6	probability	probability	NOUN
cet-6263	179	7	average	average	ADJ
cet-6263	179	8	late	late	ADJ
cet-6263	179	9	prediction	prediction	NOUN
cet-6263	179	10	probability	probability	NOUN
cet-6263	179	11	group	group	NOUN
cet-6263	179	12	1	1	NUM
cet-6263	179	13	group	group	NOUN
cet-6263	179	14	2	2	NUM
cet-6263	179	15	group	group	NOUN
cet-6263	179	16	3	3	NUM
cet-6263	179	17	group	group	NOUN
cet-6263	179	18	4	4	NUM
cet-6263	179	19	group	group	NOUN
cet-6263	179	20	5	5	NUM
cet-6263	179	21	group	group	NOUN
cet-6263	179	22	6	6	NUM
cet-6263	179	23	adaptive	adaptive	ADJ
cet-6263	179	24	inverse	inverse	NOUN
cet-6263	179	25	gaussian	gaussian	NOUN
cet-6263	179	26	0.5949	0.5949	NUM
cet-6263	179	27	0.5785	0.5785	NUM
cet-6263	179	28	0.5722	0.5722	NUM
cet-6263	179	29	0.5781	0.5781	NUM
cet-6263	179	30	0.5704	0.5704	NUM
cet-6263	179	31	0.5714	0.5714	NUM
cet-6263	179	32	conventional	conventional	ADJ
cet-6263	179	33	inverse	inverse	NOUN
cet-6263	179	34	gaussian	gaussian	NOUN
cet-6263	179	35	0.6018	0.6018	NUM
cet-6263	179	36	0.5837	0.5837	NUM
cet-6263	179	37	0.5786	0.5786	NUM
cet-6263	179	38	0.5839	0.5839	NUM
cet-6263	179	39	0.5784	0.5784	NUM
cet-6263	179	40	0.5768	0.5768	NUM
cet-6263	179	41	from	from	ADP
cet-6263	179	42	table	table	NOUN
cet-6263	179	43	2	2	NUM
cet-6263	180	1	,	,	PUNCT
cet-6263	180	2	we	we	PRON
cet-6263	180	3	note	note	VERB
cet-6263	180	4	that	that	SCONJ
cet-6263	180	5	the	the	DET
cet-6263	180	6	difference	difference	NOUN
cet-6263	180	7	between	between	ADP
cet-6263	180	8	total	total	ADJ
cet-6263	180	9	late	late	ADJ
cet-6263	180	10	prediction	prediction	NOUN
cet-6263	180	11	probabilities	probability	NOUN
cet-6263	180	12	produced	produce	VERB
cet-6263	180	13	from	from	ADP
cet-6263	180	14	both	both	DET
cet-6263	180	15	models	model	NOUN
cet-6263	180	16	is	be	AUX
cet-6263	180	17	not	not	PART
cet-6263	180	18	great	great	ADJ
cet-6263	180	19	,	,	PUNCT
cet-6263	180	20	but	but	CCONJ
cet-6263	180	21	the	the	DET
cet-6263	180	22	outcomes	outcome	NOUN
cet-6263	180	23	from	from	ADP
cet-6263	180	24	the	the	DET
cet-6263	180	25	conventional	conventional	ADJ
cet-6263	180	26	inverse	inverse	NOUN
cet-6263	180	27	gaussian	gaussian	NOUN
cet-6263	180	28	process	process	NOUN
cet-6263	180	29	based	base	VERB
cet-6263	180	30	model	model	NOUN
cet-6263	180	31	are	be	AUX
cet-6263	180	32	still	still	ADV
cet-6263	180	33	slightly	slightly	ADV
cet-6263	180	34	larger	large	ADJ
cet-6263	180	35	than	than	ADP
cet-6263	180	36	those	those	PRON
cet-6263	180	37	from	from	ADP
cet-6263	180	38	the	the	DET
cet-6263	180	39	adaptive	adaptive	ADJ
cet-6263	180	40	inverse	inverse	NOUN
cet-6263	180	41	gaussian	gaussian	NOUN
cet-6263	180	42	model	model	NOUN
cet-6263	180	43	for	for	ADP
cet-6263	180	44	all	all	DET
cet-6263	180	45	the	the	DET
cet-6263	180	46	six	six	NUM
cet-6263	180	47	groups	group	NOUN
cet-6263	180	48	of	of	ADP
cet-6263	180	49	testing	test	VERB
cet-6263	180	50	data	datum	NOUN
cet-6263	180	51	.	.	PUNCT
cet-6263	181	1	next	next	ADV
cet-6263	181	2	,	,	PUNCT
cet-6263	181	3	the	the	DET
cet-6263	181	4	total	total	ADJ
cet-6263	181	5	mean	mean	ADJ
cet-6263	181	6	square	square	ADJ
cet-6263	181	7	errors	error	NOUN
cet-6263	181	8	(	(	PUNCT
cet-6263	181	9	tmse	tmse	ADJ
cet-6263	181	10	)	)	PUNCT
cet-6263	181	11	of	of	ADP
cet-6263	181	12	these	these	DET
cet-6263	181	13	two	two	NUM
cet-6263	181	14	models	model	NOUN
cet-6263	181	15	are	be	AUX
cet-6263	181	16	calculated	calculate	VERB
cet-6263	181	17	and	and	CCONJ
cet-6263	181	18	the	the	DET
cet-6263	181	19	results	result	NOUN
cet-6263	181	20	are	be	AUX
cet-6263	181	21	presented	present	VERB
cet-6263	181	22	in	in	ADP
cet-6263	181	23	table	table	NOUN
cet-6263	181	24	3	3	NUM
cet-6263	181	25	.	.	PUNCT
cet-6263	182	1	tmse	tmse	PROPN
cet-6263	182	2	is	be	AUX
cet-6263	182	3	a	a	DET
cet-6263	182	4	key	key	ADJ
cet-6263	182	5	criterion	criterion	NOUN
cet-6263	182	6	for	for	ADP
cet-6263	182	7	model	model	NOUN
cet-6263	182	8	comparison	comparison	NOUN
cet-6263	182	9	and	and	CCONJ
cet-6263	182	10	selection	selection	NOUN
cet-6263	182	11	,	,	PUNCT
cet-6263	182	12	and	and	CCONJ
cet-6263	182	13	a	a	DET
cet-6263	182	14	model	model	NOUN
cet-6263	182	15	with	with	ADP
cet-6263	182	16	smaller	small	ADJ
cet-6263	182	17	tmse	tmse	NOUN
cet-6263	182	18	is	be	AUX
cet-6263	182	19	usually	usually	ADV
cet-6263	182	20	regarded	regard	VERB
cet-6263	182	21	as	as	ADP
cet-6263	182	22	a	a	DET
cet-6263	182	23	better	well	ADJ
cet-6263	182	24	model	model	NOUN
cet-6263	182	25	.	.	PUNCT
cet-6263	183	1	the	the	DET
cet-6263	183	2	results	result	NOUN
cet-6263	183	3	show	show	VERB
cet-6263	183	4	that	that	SCONJ
cet-6263	183	5	the	the	DET
cet-6263	183	6	tmse	tmse	NOUN
cet-6263	183	7	of	of	ADP
cet-6263	183	8	the	the	DET
cet-6263	183	9	adaptive	adaptive	ADJ
cet-6263	183	10	inverse	inverse	NOUN
cet-6263	183	11	gaussian	gaussian	NOUN
cet-6263	183	12	model	model	NOUN
cet-6263	183	13	is	be	AUX
cet-6263	183	14	about	about	ADV
cet-6263	183	15	35	35	NUM
cet-6263	183	16	%	%	NOUN
cet-6263	183	17	smaller	small	ADJ
cet-6263	183	18	than	than	ADP
cet-6263	183	19	that	that	PRON
cet-6263	183	20	of	of	ADP
cet-6263	183	21	the	the	DET
cet-6263	183	22	conventional	conventional	ADJ
cet-6263	183	23	inverse	inverse	ADJ
cet-6263	183	24	gaussian	gaussian	NOUN
cet-6263	183	25	model	model	NOUN
cet-6263	183	26	,	,	PUNCT
cet-6263	183	27	which	which	PRON
cet-6263	183	28	provides	provide	VERB
cet-6263	183	29	further	further	ADJ
cet-6263	183	30	evidence	evidence	NOUN
cet-6263	183	31	in	in	ADP
cet-6263	183	32	support	support	NOUN
cet-6263	183	33	of	of	ADP
cet-6263	183	34	the	the	DET
cet-6263	183	35	conclusion	conclusion	NOUN
cet-6263	183	36	that	that	SCONJ
cet-6263	183	37	the	the	DET
cet-6263	183	38	proposed	propose	VERB
cet-6263	183	39	adaptive	adaptive	ADJ
cet-6263	183	40	model	model	NOUN
cet-6263	183	41	is	be	AUX
cet-6263	183	42	better	well	ADJ
cet-6263	183	43	than	than	ADP
cet-6263	183	44	the	the	DET
cet-6263	183	45	conventional	conventional	ADJ
cet-6263	183	46	model	model	NOUN
cet-6263	183	47	.	.	PUNCT
cet-6263	184	1	table	table	NOUN
cet-6263	184	2	3	3	NUM
cet-6263	184	3	tmse	tmse	ADJ
cet-6263	184	4	comparison	comparison	NOUN
cet-6263	184	5	model	model	NOUN
cet-6263	184	6	tmse	tmse	ADJ
cet-6263	184	7	adaptive	adaptive	ADJ
cet-6263	184	8	inverse	inverse	NOUN
cet-6263	184	9	gaussian	gaussian	NOUN
cet-6263	184	10	model	model	NOUN
cet-6263	184	11	321.1910	321.1910	NUM
cet-6263	184	12	conventional	conventional	ADJ
cet-6263	184	13	inverse	inverse	NOUN
cet-6263	184	14	gaussian	gaussian	NOUN
cet-6263	184	15	model	model	NOUN
cet-6263	184	16	498.6807	498.6807	NUM
cet-6263	184	17	to	to	PART
cet-6263	184	18	validate	validate	VERB
cet-6263	184	19	our	our	PRON
cet-6263	184	20	model	model	NOUN
cet-6263	184	21	further	far	ADV
cet-6263	184	22	,	,	PUNCT
cet-6263	184	23	we	we	PRON
cet-6263	184	24	conduct	conduct	VERB
cet-6263	184	25	a	a	DET
cet-6263	184	26	model	model	NOUN
cet-6263	184	27	prediction	prediction	NOUN
cet-6263	184	28	accuracy	accuracy	NOUN
cet-6263	184	29	test	test	NOUN
cet-6263	184	30	.	.	PUNCT
cet-6263	185	1	we	we	PRON
cet-6263	185	2	choose	choose	VERB
cet-6263	185	3	six	six	NUM
cet-6263	185	4	groups	group	NOUN
cet-6263	185	5	at	at	ADP
cet-6263	185	6	random	random	ADJ
cet-6263	185	7	from	from	ADP
cet-6263	185	8	the	the	DET
cet-6263	185	9	twelve	twelve	NUM
cet-6263	185	10	available	available	ADJ
cet-6263	185	11	;	;	PUNCT
cet-6263	185	12	then	then	ADV
cet-6263	185	13	we	we	PRON
cet-6263	185	14	train	train	VERB
cet-6263	185	15	the	the	DET
cet-6263	185	16	six	six	NUM
cet-6263	185	17	groups	group	NOUN
cet-6263	185	18	and	and	CCONJ
cet-6263	185	19	test	test	VERB
cet-6263	185	20	with	with	ADP
cet-6263	185	21	the	the	DET
cet-6263	185	22	other	other	ADJ
cet-6263	185	23	six	six	NUM
cet-6263	185	24	groups	group	NOUN
cet-6263	185	25	.	.	PUNCT
cet-6263	186	1	the	the	DET
cet-6263	186	2	process	process	NOUN
cet-6263	186	3	is	be	AUX
cet-6263	186	4	repeated	repeat	VERB
cet-6263	186	5	a	a	DET
cet-6263	186	6	further	further	ADJ
cet-6263	186	7	three	three	NUM
cet-6263	186	8	times	time	NOUN
cet-6263	186	9	,	,	PUNCT
cet-6263	186	10	so	so	SCONJ
cet-6263	186	11	that	that	SCONJ
cet-6263	186	12	we	we	PRON
cet-6263	186	13	conduct	conduct	VERB
cet-6263	186	14	a	a	DET
cet-6263	186	15	total	total	NOUN
cet-6263	186	16	of	of	ADP
cet-6263	186	17	four	four	NUM
cet-6263	186	18	independent	independent	ADJ
cet-6263	186	19	experiments	experiment	NOUN
cet-6263	186	20	.	.	PUNCT
cet-6263	187	1	335	335	NUM
cet-6263	187	2	throughout	throughout	ADP
cet-6263	187	3	the	the	DET
cet-6263	187	4	parameter	parameter	NOUN
cet-6263	187	5	estimation	estimation	NOUN
cet-6263	187	6	and	and	CCONJ
cet-6263	187	7	testing	testing	NOUN
cet-6263	187	8	procedures	procedure	NOUN
cet-6263	187	9	for	for	ADP
cet-6263	187	10	both	both	CCONJ
cet-6263	187	11	the	the	DET
cet-6263	187	12	adaptive	adaptive	ADJ
cet-6263	187	13	gaussian	gaussian	ADJ
cet-6263	187	14	model	model	NOUN
cet-6263	187	15	and	and	CCONJ
cet-6263	187	16	the	the	DET
cet-6263	187	17	conventional	conventional	ADJ
cet-6263	187	18	gaussian	gaussian	ADJ
cet-6263	187	19	model	model	NOUN
cet-6263	187	20	,	,	PUNCT
cet-6263	187	21	we	we	PRON
cet-6263	187	22	get	get	VERB
cet-6263	187	23	the	the	DET
cet-6263	187	24	prediction	prediction	NOUN
cet-6263	187	25	results	result	NOUN
cet-6263	187	26	shown	show	VERB
cet-6263	187	27	in	in	ADP
cet-6263	187	28	table	table	NOUN
cet-6263	187	29	4	4	NUM
cet-6263	187	30	.	.	PUNCT
cet-6263	187	31	by	by	ADP
cet-6263	187	32	comparing	compare	VERB
cet-6263	187	33	these	these	DET
cet-6263	187	34	model	model	NOUN
cet-6263	187	35	outputs	output	NOUN
cet-6263	187	36	,	,	PUNCT
cet-6263	187	37	we	we	PRON
cet-6263	187	38	can	can	AUX
cet-6263	187	39	assess	assess	VERB
cet-6263	187	40	whether	whether	SCONJ
cet-6263	187	41	the	the	DET
cet-6263	187	42	model	model	NOUN
cet-6263	187	43	is	be	AUX
cet-6263	187	44	sensitive	sensitive	ADJ
cet-6263	187	45	to	to	ADP
cet-6263	187	46	the	the	DET
cet-6263	187	47	data	data	NOUN
cet-6263	187	48	change	change	NOUN
cet-6263	187	49	.	.	PUNCT
cet-6263	188	1	from	from	ADP
cet-6263	188	2	table	table	NOUN
cet-6263	188	3	4	4	NUM
cet-6263	188	4	,	,	PUNCT
cet-6263	188	5	we	we	PRON
cet-6263	188	6	can	can	AUX
cet-6263	188	7	see	see	VERB
cet-6263	188	8	that	that	SCONJ
cet-6263	188	9	our	our	PRON
cet-6263	188	10	model	model	NOUN
cet-6263	188	11	performs	perform	VERB
cet-6263	188	12	reasonably	reasonably	ADV
cet-6263	188	13	consistently	consistently	ADV
cet-6263	188	14	for	for	ADP
cet-6263	188	15	the	the	DET
cet-6263	188	16	given	give	VERB
cet-6263	188	17	different	different	ADJ
cet-6263	188	18	datasets	dataset	NOUN
cet-6263	188	19	and	and	CCONJ
cet-6263	188	20	outperforms	outperform	VERB
cet-6263	188	21	the	the	DET
cet-6263	188	22	conventional	conventional	ADJ
cet-6263	188	23	gaussian	gaussian	ADJ
cet-6263	188	24	model	model	NOUN
cet-6263	188	25	respectively	respectively	ADV
cet-6263	188	26	in	in	ADP
cet-6263	188	27	terms	term	NOUN
cet-6263	188	28	of	of	ADP
cet-6263	188	29	tmse	tmse	ADJ
cet-6263	188	30	.	.	PUNCT
cet-6263	189	1	therefore	therefore	ADV
cet-6263	189	2	,	,	PUNCT
cet-6263	189	3	our	our	PRON
cet-6263	189	4	prediction	prediction	NOUN
cet-6263	189	5	accuracy	accuracy	NOUN
cet-6263	189	6	test	test	NOUN
cet-6263	189	7	enables	enable	VERB
cet-6263	189	8	us	we	PRON
cet-6263	189	9	to	to	PART
cet-6263	189	10	conclude	conclude	VERB
cet-6263	189	11	that	that	SCONJ
cet-6263	189	12	our	our	PRON
cet-6263	189	13	model	model	NOUN
cet-6263	189	14	is	be	AUX
cet-6263	189	15	stable	stable	ADJ
cet-6263	189	16	,	,	PUNCT
cet-6263	189	17	robust	robust	ADJ
cet-6263	189	18	and	and	CCONJ
cet-6263	189	19	beneficial	beneficial	ADJ
cet-6263	189	20	for	for	ADP
cet-6263	189	21	the	the	DET
cet-6263	189	22	analysis	analysis	NOUN
cet-6263	189	23	of	of	ADP
cet-6263	189	24	different	different	ADJ
cet-6263	189	25	datasets	dataset	NOUN
cet-6263	189	26	.	.	PUNCT
cet-6263	190	1	table	table	NOUN
cet-6263	190	2	4	4	NUM
cet-6263	190	3	tmse	tmse	ADJ
cet-6263	190	4	results	result	NOUN
cet-6263	190	5	of	of	ADP
cet-6263	190	6	four	four	NUM
cet-6263	190	7	trials	trial	NOUN
cet-6263	190	8	for	for	ADP
cet-6263	190	9	conventional	conventional	ADJ
cet-6263	190	10	and	and	CCONJ
cet-6263	190	11	adaptive	adaptive	ADJ
cet-6263	190	12	gaussian	gaussian	NOUN
cet-6263	190	13	models	model	NOUN
cet-6263	190	14	model	model	VERB
cet-6263	190	15	tmse	tmse	ADJ
cet-6263	190	16	trial	trial	NOUN
cet-6263	190	17	1	1	NUM
cet-6263	190	18	trial	trial	NOUN
cet-6263	190	19	2	2	NUM
cet-6263	190	20	trial	trial	NOUN
cet-6263	190	21	3	3	NUM
cet-6263	190	22	trial	trial	NOUN
cet-6263	190	23	4	4	NUM
cet-6263	190	24	adaptive	adaptive	ADJ
cet-6263	190	25	gaussian	gaussian	ADJ
cet-6263	190	26	model	model	NOUN
cet-6263	190	27	276.9428	276.9428	NUM
cet-6263	190	28	269.572	269.572	NUM
cet-6263	190	29	343.4941	343.4941	NUM
cet-6263	190	30	290.4350	290.4350	NUM
cet-6263	190	31	conventional	conventional	ADJ
cet-6263	190	32	gaussian	gaussian	ADJ
cet-6263	190	33	model	model	NOUN
cet-6263	190	34	451.907	451.907	NUM
cet-6263	190	35	449.7512	449.7512	NUM
cet-6263	190	36	511.4516	511.4516	NUM
cet-6263	190	37	468.3932	468.3932	NUM
cet-6263	190	38	4	4	NUM
cet-6263	190	39	.	.	PUNCT
cet-6263	191	1	conclusions	conclusion	NOUN
cet-6263	191	2	in	in	ADP
cet-6263	191	3	this	this	DET
cet-6263	191	4	paper	paper	NOUN
cet-6263	191	5	,	,	PUNCT
cet-6263	191	6	an	an	DET
cet-6263	191	7	adaptive	adaptive	ADJ
cet-6263	191	8	inverse	inverse	NOUN
cet-6263	191	9	gaussian	gaussian	NOUN
cet-6263	191	10	stochastic	stochastic	NOUN
cet-6263	191	11	process	process	NOUN
cet-6263	191	12	is	be	AUX
cet-6263	191	13	developed	develop	VERB
cet-6263	191	14	to	to	PART
cet-6263	191	15	characterize	characterize	VERB
cet-6263	191	16	the	the	DET
cet-6263	191	17	degradation	degradation	NOUN
cet-6263	191	18	process	process	NOUN
cet-6263	191	19	of	of	ADP
cet-6263	191	20	monitored	monitored	ADJ
cet-6263	191	21	components	component	NOUN
cet-6263	191	22	.	.	PUNCT
cet-6263	192	1	the	the	DET
cet-6263	192	2	knowledge	knowledge	NOUN
cet-6263	192	3	of	of	ADP
cet-6263	192	4	the	the	DET
cet-6263	192	5	degradation	degradation	NOUN
cet-6263	192	6	process	process	NOUN
cet-6263	192	7	is	be	AUX
cet-6263	192	8	updated	update	VERB
cet-6263	192	9	through	through	ADP
cet-6263	192	10	the	the	DET
cet-6263	192	11	mean	mean	ADJ
cet-6263	192	12	parameter	parameter	NOUN
cet-6263	192	13	of	of	ADP
cet-6263	192	14	the	the	DET
cet-6263	192	15	inverse	inverse	ADJ
cet-6263	192	16	gaussian	gaussian	NOUN
cet-6263	192	17	process	process	NOUN
cet-6263	192	18	when	when	SCONJ
cet-6263	192	19	new	new	ADJ
cet-6263	192	20	observations	observation	NOUN
cet-6263	192	21	are	be	AUX
cet-6263	192	22	available	available	ADJ
cet-6263	192	23	.	.	PUNCT
cet-6263	193	1	the	the	DET
cet-6263	193	2	updating	updating	NOUN
cet-6263	193	3	is	be	AUX
cet-6263	193	4	performed	perform	VERB
cet-6263	193	5	through	through	ADP
cet-6263	193	6	a	a	DET
cet-6263	193	7	general	general	ADJ
cet-6263	193	8	bayesian	bayesian	NOUN
cet-6263	193	9	filtering	filtering	NOUN
cet-6263	193	10	process	process	NOUN
cet-6263	193	11	within	within	ADP
cet-6263	193	12	a	a	DET
cet-6263	193	13	state	state	NOUN
cet-6263	193	14	space	space	NOUN
cet-6263	193	15	model	model	NOUN
cet-6263	193	16	setting	setting	NOUN
cet-6263	193	17	.	.	PUNCT
cet-6263	194	1	the	the	DET
cet-6263	194	2	proposed	propose	VERB
cet-6263	194	3	adaptive	adaptive	ADJ
cet-6263	194	4	model	model	NOUN
cet-6263	194	5	is	be	AUX
cet-6263	194	6	history	history	NOUN
cet-6263	194	7	-	-	PUNCT
cet-6263	194	8	dependent	dependent	ADJ
cet-6263	194	9	and	and	CCONJ
cet-6263	194	10	could	could	AUX
cet-6263	194	11	adjust	adjust	VERB
cet-6263	194	12	itself	itself	PRON
cet-6263	194	13	to	to	ADP
cet-6263	194	14	the	the	DET
cet-6263	194	15	sudden	sudden	ADJ
cet-6263	194	16	changes	change	NOUN
cet-6263	194	17	in	in	ADP
cet-6263	194	18	degradation	degradation	NOUN
cet-6263	194	19	signals	signal	NOUN
cet-6263	194	20	.	.	PUNCT
cet-6263	195	1	the	the	DET
cet-6263	195	2	numerical	numerical	PROPN
cet-6263	195	3	case	case	NOUN
cet-6263	195	4	study	study	NOUN
cet-6263	195	5	shows	show	VERB
cet-6263	195	6	that	that	SCONJ
cet-6263	195	7	the	the	DET
cet-6263	195	8	variance	variance	NOUN
cet-6263	195	9	of	of	ADP
cet-6263	195	10	the	the	DET
cet-6263	195	11	rul	rul	NOUN
cet-6263	195	12	distribution	distribution	NOUN
cet-6263	195	13	obtained	obtain	VERB
cet-6263	195	14	from	from	ADP
cet-6263	195	15	the	the	DET
cet-6263	195	16	adaptive	adaptive	ADJ
cet-6263	195	17	model	model	NOUN
cet-6263	195	18	is	be	AUX
cet-6263	195	19	less	less	ADJ
cet-6263	195	20	than	than	ADP
cet-6263	195	21	that	that	PRON
cet-6263	195	22	of	of	ADP
cet-6263	195	23	the	the	DET
cet-6263	195	24	conventional	conventional	ADJ
cet-6263	195	25	inverse	inverse	NOUN
cet-6263	195	26	gaussian	gaussian	NOUN
cet-6263	195	27	model	model	NOUN
cet-6263	195	28	and	and	CCONJ
cet-6263	195	29	the	the	DET
cet-6263	195	30	predictive	predictive	ADJ
cet-6263	195	31	accuracy	accuracy	NOUN
cet-6263	195	32	is	be	AUX
cet-6263	195	33	improved	improve	VERB
cet-6263	195	34	by	by	ADP
cet-6263	195	35	using	use	VERB
cet-6263	195	36	an	an	DET
cet-6263	195	37	adaptive	adaptive	ADJ
cet-6263	195	38	model	model	NOUN
cet-6263	195	39	in	in	ADP
cet-6263	195	40	terms	term	NOUN
cet-6263	195	41	of	of	ADP
cet-6263	195	42	tmse	tmse	ADJ
cet-6263	195	43	.	.	PUNCT
cet-6263	196	1	furthermore	furthermore	ADV
cet-6263	196	2	,	,	PUNCT
cet-6263	196	3	a	a	DET
cet-6263	196	4	model	model	NOUN
cet-6263	196	5	prediction	prediction	NOUN
cet-6263	196	6	accuracy	accuracy	NOUN
cet-6263	196	7	test	test	NOUN
cet-6263	196	8	is	be	AUX
cet-6263	196	9	carried	carry	VERB
cet-6263	196	10	out	out	ADP
cet-6263	196	11	to	to	PART
cet-6263	196	12	validate	validate	VERB
cet-6263	196	13	our	our	PRON
cet-6263	196	14	model	model	NOUN
cet-6263	196	15	.	.	PUNCT
cet-6263	197	1	the	the	DET
cet-6263	197	2	results	result	NOUN
cet-6263	197	3	show	show	VERB
cet-6263	197	4	that	that	SCONJ
cet-6263	197	5	the	the	DET
cet-6263	197	6	adaptive	adaptive	ADJ
cet-6263	197	7	gaussian	gaussian	ADJ
cet-6263	197	8	model	model	NOUN
cet-6263	197	9	is	be	AUX
cet-6263	197	10	robust	robust	ADJ
cet-6263	197	11	and	and	CCONJ
cet-6263	197	12	can	can	AUX
cet-6263	197	13	be	be	AUX
cet-6263	197	14	applied	apply	VERB
cet-6263	197	15	to	to	ADP
cet-6263	197	16	different	different	ADJ
cet-6263	197	17	datasets	dataset	NOUN
cet-6263	197	18	with	with	ADP
cet-6263	197	19	desirable	desirable	ADJ
cet-6263	197	20	results	result	NOUN
cet-6263	197	21	.	.	PUNCT
cet-6263	198	1	acknowledgement	acknowledgement	NOUN
cet-6263	198	2	this	this	DET
cet-6263	198	3	research	research	NOUN
cet-6263	198	4	is	be	AUX
cet-6263	198	5	partially	partially	ADV
cet-6263	198	6	supported	support	VERB
cet-6263	198	7	by	by	ADP
cet-6263	198	8	nsfc	nsfc	NOUN
cet-6263	198	9	under	under	ADP
cet-6263	198	10	grant	grant	NOUN
cet-6263	198	11	number	number	NOUN
cet-6263	198	12	71231001	71231001	NUM
cet-6263	198	13	,	,	PUNCT
cet-6263	198	14	by	by	ADP
cet-6263	198	15	the	the	DET
cet-6263	198	16	moe	moe	NOUN
cet-6263	198	17	phd	phd	NOUN
cet-6263	198	18	supervisor	supervisor	NOUN
cet-6263	198	19	’s	’s	PART
cet-6263	198	20	fund	fund	NOUN
cet-6263	198	21	and	and	CCONJ
cet-6263	198	22	by	by	ADP
cet-6263	198	23	the	the	DET
cet-6263	198	24	fundamental	fundamental	ADJ
cet-6263	198	25	research	research	NOUN
cet-6263	198	26	funds	fund	NOUN
cet-6263	198	27	for	for	ADP
cet-6263	198	28	the	the	DET
cet-6263	198	29	central	central	ADJ
cet-6263	198	30	universities	university	NOUN
cet-6263	198	31	of	of	ADP
cet-6263	198	32	china	china	PROPN
cet-6263	198	33	frfsd-12	frfsd-12	PROPN
cet-6263	198	34	-	-	PUNCT
cet-6263	198	35	020a	020a	NOUN
cet-6263	198	36	.	.	PUNCT
cet-6263	199	1	references	reference	NOUN
cet-6263	199	2	banerjee	banerjee	PROPN
cet-6263	199	3	a.	a.	PROPN
cet-6263	199	4	,	,	PUNCT
cet-6263	199	5	bhattacharyya	bhattacharyya	ADJ
cet-6263	199	6	g.	g.	PROPN
cet-6263	199	7	,	,	PUNCT
cet-6263	199	8	1979	1979	NUM
cet-6263	199	9	,	,	PUNCT
cet-6263	199	10	bayesian	bayesian	NOUN
cet-6263	199	11	results	result	VERB
cet-6263	199	12	for	for	ADP
cet-6263	199	13	the	the	DET
cet-6263	199	14	inverse	inverse	ADJ
cet-6263	199	15	gaussian	gaussian	ADJ
cet-6263	199	16	distribution	distribution	NOUN
cet-6263	199	17	with	with	ADP
cet-6263	199	18	an	an	DET
cet-6263	199	19	application	application	NOUN
cet-6263	199	20	.	.	PUNCT
cet-6263	200	1	technometrics	technometric	NOUN
cet-6263	200	2	,	,	PUNCT
cet-6263	200	3	21	21	NUM
cet-6263	200	4	,	,	PUNCT
cet-6263	200	5	247	247	NUM
cet-6263	200	6	-	-	SYM
cet-6263	200	7	251	251	NUM
cet-6263	200	8	.	.	PUNCT
cet-6263	201	1	chhikara	chhikara	PROPN
cet-6263	201	2	r.	r.	PROPN
cet-6263	201	3	s.	s.	PROPN
cet-6263	201	4	,	,	PUNCT
cet-6263	201	5	folks	folks	PROPN
cet-6263	201	6	l.	l.	PROPN
cet-6263	201	7	,	,	PUNCT
cet-6263	201	8	1989	1989	NUM
cet-6263	201	9	,	,	PUNCT
cet-6263	201	10	the	the	DET
cet-6263	201	11	inverse	inverse	ADJ
cet-6263	201	12	gaussian	gaussian	ADJ
cet-6263	201	13	distribution	distribution	NOUN
cet-6263	201	14	:	:	PUNCT
cet-6263	202	1	theory	theory	NOUN
cet-6263	202	2	,	,	PUNCT
cet-6263	202	3	methodology	methodology	NOUN
cet-6263	202	4	,	,	PUNCT
cet-6263	202	5	and	and	CCONJ
cet-6263	202	6	applications	application	NOUN
cet-6263	202	7	,	,	PUNCT
cet-6263	202	8	marcel	marcel	PROPN
cet-6263	202	9	dekker	dekker	PROPN
cet-6263	202	10	,	,	PUNCT
cet-6263	202	11	new	new	PROPN
cet-6263	202	12	york	york	PROPN
cet-6263	202	13	.	.	PUNCT
cet-6263	203	1	dempster	dempster	PROPN
cet-6263	203	2	a.	a.	PROPN
cet-6263	203	3	,	,	PUNCT
cet-6263	203	4	laird	laird	PROPN
cet-6263	203	5	n.	n.	PROPN
cet-6263	203	6	,	,	PUNCT
cet-6263	203	7	rubin	rubin	PROPN
cet-6263	203	8	d.	d.	PROPN
cet-6263	203	9	,	,	PUNCT
cet-6263	203	10	1977	1977	NUM
cet-6263	203	11	,	,	PUNCT
cet-6263	203	12	maximum	maximum	ADJ
cet-6263	203	13	likelihood	likelihood	NOUN
cet-6263	203	14	from	from	ADP
cet-6263	203	15	incomplete	incomplete	ADJ
cet-6263	203	16	data	datum	NOUN
cet-6263	203	17	via	via	ADP
cet-6263	203	18	the	the	DET
cet-6263	203	19	em	em	PROPN
cet-6263	203	20	algorithm	algorithm	NOUN
cet-6263	203	21	.	.	PUNCT
cet-6263	204	1	journal	journal	NOUN
cet-6263	204	2	of	of	ADP
cet-6263	204	3	the	the	DET
cet-6263	204	4	royal	royal	ADJ
cet-6263	204	5	statistical	statistical	ADJ
cet-6263	204	6	society	society	NOUN
cet-6263	204	7	.	.	PUNCT
cet-6263	205	1	series	series	PROPN
cet-6263	205	2	b	b	PROPN
cet-6263	205	3	(	(	PUNCT
cet-6263	205	4	methodological	methodological	ADJ
cet-6263	205	5	)	)	PUNCT
cet-6263	205	6	,	,	PUNCT
cet-6263	205	7	39	39	NUM
cet-6263	205	8	,	,	PUNCT
cet-6263	205	9	1	1	NUM
cet-6263	205	10	-	-	SYM
cet-6263	205	11	38	38	NUM
cet-6263	205	12	.	.	PUNCT
cet-6263	206	1	engel	engel	PROPN
cet-6263	206	2	s.	s.	PROPN
cet-6263	206	3	j.	j.	PROPN
cet-6263	206	4	,	,	PUNCT
cet-6263	206	5	gilmartin	gilmartin	PROPN
cet-6263	206	6	b.	b.	PROPN
cet-6263	206	7	j.	j.	PROPN
cet-6263	206	8	,	,	PUNCT
cet-6263	206	9	bongort	bongort	PROPN
cet-6263	206	10	k.	k.	PROPN
cet-6263	206	11	,	,	PUNCT
cet-6263	206	12	hess	hess	PROPN
cet-6263	206	13	a.	a.	NOUN
cet-6263	206	14	,	,	PUNCT
cet-6263	206	15	2000	2000	NUM
cet-6263	206	16	,	,	PUNCT
cet-6263	206	17	prognostics	prognostic	NOUN
cet-6263	206	18	,	,	PUNCT
cet-6263	206	19	the	the	DET
cet-6263	206	20	real	real	ADJ
cet-6263	206	21	issues	issue	NOUN
cet-6263	206	22	involved	involve	VERB
cet-6263	206	23	with	with	ADP
cet-6263	206	24	predicting	predict	VERB
cet-6263	206	25	life	life	NOUN
cet-6263	206	26	remaining	remain	VERB
cet-6263	206	27	.	.	PUNCT
cet-6263	206	28	aerospace	aerospace	NOUN
cet-6263	206	29	conference	conference	NOUN
cet-6263	206	30	proceedings	proceeding	NOUN
cet-6263	206	31	.	.	PUNCT
cet-6263	207	1	big	big	ADJ
cet-6263	207	2	sky	sky	NOUN
cet-6263	207	3	,	,	PUNCT
cet-6263	207	4	mt	mt	PROPN
cet-6263	207	5	,	,	PUNCT
cet-6263	207	6	ieee	ieee	PROPN
cet-6263	207	7	.	.	PUNCT
cet-6263	208	1	jardine	jardine	PROPN
cet-6263	208	2	a.	a.	PROPN
cet-6263	208	3	k.	k.	PROPN
cet-6263	208	4	s.	s.	PROPN
cet-6263	208	5	,	,	PUNCT
cet-6263	208	6	lin	lin	PROPN
cet-6263	208	7	d.	d.	PROPN
cet-6263	208	8	,	,	PUNCT
cet-6263	208	9	banjevic	banjevic	PROPN
cet-6263	208	10	d.	d.	PROPN
cet-6263	208	11	,	,	PUNCT
cet-6263	208	12	2006	2006	NUM
cet-6263	208	13	,	,	PUNCT
cet-6263	208	14	a	a	DET
cet-6263	208	15	review	review	NOUN
cet-6263	208	16	on	on	ADP
cet-6263	208	17	machinery	machinery	NOUN
cet-6263	208	18	diagnostics	diagnostic	NOUN
cet-6263	208	19	and	and	CCONJ
cet-6263	208	20	prognostics	prognostic	NOUN
cet-6263	208	21	implementing	implement	VERB
cet-6263	208	22	condition	condition	NOUN
cet-6263	208	23	-	-	PUNCT
cet-6263	208	24	based	base	VERB
cet-6263	208	25	maintenance	maintenance	NOUN
cet-6263	208	26	.	.	PUNCT
cet-6263	209	1	mechanical	mechanical	ADJ
cet-6263	209	2	systems	system	NOUN
cet-6263	209	3	and	and	CCONJ
cet-6263	209	4	signal	signal	NOUN
cet-6263	209	5	processing	processing	NOUN
cet-6263	209	6	,	,	PUNCT
cet-6263	209	7	20	20	NUM
cet-6263	209	8	,	,	PUNCT
cet-6263	209	9	14831510	14831510	NUM
cet-6263	209	10	.	.	PUNCT
cet-6263	210	1	kendall	kendall	PROPN
cet-6263	210	2	m.	m.	PROPN
cet-6263	210	3	g.	g.	PROPN
cet-6263	210	4	,	,	PUNCT
cet-6263	210	5	alan	alan	PROPN
cet-6263	210	6	s.	s.	PROPN
cet-6263	210	7	,	,	PUNCT
cet-6263	210	8	1973	1973	NUM
cet-6263	210	9	,	,	PUNCT
cet-6263	210	10	the	the	DET
cet-6263	210	11	advanced	advanced	ADJ
cet-6263	210	12	theory	theory	NOUN
cet-6263	210	13	of	of	ADP
cet-6263	210	14	statistics	statistic	NOUN
cet-6263	210	15	,	,	PUNCT
cet-6263	210	16	london	london	PROPN
cet-6263	210	17	,	,	PUNCT
cet-6263	210	18	griffin	griffin	PROPN
cet-6263	210	19	.	.	PUNCT
cet-6263	211	1	lu	lu	PROPN
cet-6263	211	2	c.	c.	PROPN
cet-6263	211	3	,	,	PUNCT
cet-6263	211	4	meeker	meeker	PROPN
cet-6263	211	5	w.	w.	PROPN
cet-6263	211	6	,	,	PUNCT
cet-6263	211	7	1993	1993	NUM
cet-6263	211	8	,	,	PUNCT
cet-6263	211	9	using	use	VERB
cet-6263	211	10	degradation	degradation	NOUN
cet-6263	211	11	measures	measure	NOUN
cet-6263	211	12	to	to	PART
cet-6263	211	13	estimate	estimate	VERB
cet-6263	211	14	a	a	DET
cet-6263	211	15	time	time	NOUN
cet-6263	211	16	-	-	PUNCT
cet-6263	211	17	to	to	ADP
cet-6263	211	18	-	-	PUNCT
cet-6263	211	19	failure	failure	NOUN
cet-6263	211	20	distribution	distribution	NOUN
cet-6263	211	21	.	.	PUNCT
cet-6263	212	1	technometrics	technometric	NOUN
cet-6263	212	2	,	,	PUNCT
cet-6263	212	3	35	35	NUM
cet-6263	212	4	,	,	PUNCT
cet-6263	212	5	161	161	NUM
cet-6263	212	6	-	-	SYM
cet-6263	212	7	174	174	NUM
cet-6263	212	8	.	.	PUNCT
cet-6263	213	1	pecht	pecht	NOUN
cet-6263	213	2	m.	m.	NOUN
cet-6263	213	3	,	,	PUNCT
cet-6263	213	4	2008	2008	NUM
cet-6263	213	5	,	,	PUNCT
cet-6263	213	6	prognostics	prognostic	NOUN
cet-6263	213	7	and	and	CCONJ
cet-6263	213	8	health	health	NOUN
cet-6263	213	9	management	management	NOUN
cet-6263	213	10	of	of	ADP
cet-6263	213	11	electronics	electronic	NOUN
cet-6263	213	12	,	,	PUNCT
cet-6263	213	13	wiley	wiley	PROPN
cet-6263	213	14	online	online	PROPN
cet-6263	213	15	library	library	PROPN
cet-6263	213	16	.	.	PUNCT
cet-6263	214	1	si	si	PROPN
cet-6263	214	2	x.	x.	PROPN
cet-6263	214	3	s.	s.	PROPN
cet-6263	214	4	,	,	PUNCT
cet-6263	214	5	wang	wang	PROPN
cet-6263	214	6	w.	w.	PROPN
cet-6263	214	7	,	,	PUNCT
cet-6263	214	8	hu	hu	PROPN
cet-6263	214	9	c.	c.	PROPN
cet-6263	214	10	,	,	PUNCT
cet-6263	214	11	zhou	zhou	PROPN
cet-6263	214	12	d.h	d.h	PROPN
cet-6263	214	13	,	,	PUNCT
cet-6263	214	14	2011a	2011a	NUM
cet-6263	214	15	,	,	PUNCT
cet-6263	214	16	remaining	remain	VERB
cet-6263	214	17	useful	useful	ADJ
cet-6263	214	18	life	life	NOUN
cet-6263	214	19	estimation	estimation	NOUN
cet-6263	214	20	-	-	PUNCT
cet-6263	214	21	a	a	DET
cet-6263	214	22	review	review	NOUN
cet-6263	214	23	on	on	ADP
cet-6263	214	24	the	the	DET
cet-6263	214	25	statistical	statistical	ADJ
cet-6263	214	26	data	datum	NOUN
cet-6263	214	27	driven	drive	VERB
cet-6263	214	28	approaches	approach	NOUN
cet-6263	214	29	.	.	PUNCT
cet-6263	215	1	european	european	ADJ
cet-6263	215	2	journal	journal	PROPN
cet-6263	215	3	of	of	ADP
cet-6263	215	4	operational	operational	ADJ
cet-6263	215	5	research	research	NOUN
cet-6263	215	6	,	,	PUNCT
cet-6263	215	7	213	213	NUM
cet-6263	215	8	,	,	PUNCT
cet-6263	215	9	1	1	NUM
cet-6263	215	10	-	-	SYM
cet-6263	215	11	14	14	NUM
cet-6263	215	12	.	.	PUNCT
cet-6263	216	1	si	si	PROPN
cet-6263	216	2	x.	x.	PROPN
cet-6263	216	3	s.	s.	PROPN
cet-6263	216	4	,	,	PUNCT
cet-6263	216	5	wang	wang	PROPN
cet-6263	216	6	w.	w.	PROPN
cet-6263	216	7	,	,	PUNCT
cet-6263	216	8	hu	hu	PROPN
cet-6263	216	9	c.	c.	PROPN
cet-6263	216	10	h.	h.	PROPN
cet-6263	216	11	,	,	PUNCT
cet-6263	216	12	chen	chen	PROPN
cet-6263	216	13	m.	m.	PROPN
cet-6263	216	14	y.	y.	PROPN
cet-6263	216	15	,	,	PUNCT
cet-6263	216	16	zhou	zhou	PROPN
cet-6263	216	17	d.	d.	PROPN
cet-6263	216	18	h	h	PROPN
cet-6263	216	19	,	,	PUNCT
cet-6263	216	20	2013	2013	NUM
cet-6263	216	21	,	,	PUNCT
cet-6263	216	22	a	a	DET
cet-6263	216	23	wiener	wiener	NOUN
cet-6263	216	24	-	-	PUNCT
cet-6263	216	25	process	process	NOUN
cet-6263	216	26	-	-	PUNCT
cet-6263	216	27	based	base	VERB
cet-6263	216	28	degradation	degradation	NOUN
cet-6263	216	29	model	model	NOUN
cet-6263	216	30	with	with	ADP
cet-6263	216	31	a	a	DET
cet-6263	216	32	recursive	recursive	ADJ
cet-6263	216	33	filter	filter	NOUN
cet-6263	216	34	algorithm	algorithm	NOUN
cet-6263	216	35	for	for	ADP
cet-6263	216	36	remaining	remain	VERB
cet-6263	216	37	useful	useful	ADJ
cet-6263	216	38	life	life	NOUN
cet-6263	216	39	estimation	estimation	NOUN
cet-6263	216	40	.	.	PUNCT
cet-6263	217	1	mechanical	mechanical	ADJ
cet-6263	217	2	systems	system	NOUN
cet-6263	217	3	and	and	CCONJ
cet-6263	217	4	signal	signal	NOUN
cet-6263	217	5	processing	processing	NOUN
cet-6263	217	6	.	.	PUNCT
cet-6263	218	1	seshadri	seshadri	PROPN
cet-6263	218	2	v.	v.	ADP
cet-6263	218	3	,	,	PUNCT
cet-6263	218	4	1993	1993	NUM
cet-6263	218	5	,	,	PUNCT
cet-6263	218	6	the	the	DET
cet-6263	218	7	inverse	inverse	ADJ
cet-6263	218	8	gaussian	gaussian	ADJ
cet-6263	218	9	distribution	distribution	NOUN
cet-6263	218	10	:	:	PUNCT
cet-6263	218	11	a	a	DET
cet-6263	218	12	case	case	NOUN
cet-6263	218	13	study	study	NOUN
cet-6263	218	14	in	in	ADP
cet-6263	218	15	exponential	exponential	ADJ
cet-6263	218	16	families	family	NOUN
cet-6263	218	17	,	,	PUNCT
cet-6263	218	18	oxford	oxford	PROPN
cet-6263	218	19	university	university	PROPN
cet-6263	218	20	press	press	PROPN
cet-6263	218	21	,	,	PUNCT
cet-6263	218	22	usa	usa	PROPN
cet-6263	219	1	.	.	PROPN
cet-6263	219	2	wang	wang	PROPN
cet-6263	219	3	x.	x.	PROPN
cet-6263	219	4	,	,	PUNCT
cet-6263	219	5	xu	xu	PROPN
cet-6263	219	6	d.	d.	PROPN
cet-6263	219	7	,	,	PUNCT
cet-6263	219	8	2010	2010	NUM
cet-6263	219	9	,	,	PUNCT
cet-6263	219	10	an	an	DET
cet-6263	219	11	inverse	inverse	ADJ
cet-6263	219	12	gaussian	gaussian	NOUN
cet-6263	219	13	process	process	NOUN
cet-6263	219	14	model	model	NOUN
cet-6263	219	15	for	for	ADP
cet-6263	219	16	degradation	degradation	NOUN
cet-6263	219	17	data	datum	NOUN
cet-6263	219	18	.	.	PUNCT
cet-6263	220	1	technometrics	technometric	NOUN
cet-6263	220	2	,	,	PUNCT
cet-6263	220	3	52	52	NUM
cet-6263	220	4	,	,	PUNCT
cet-6263	220	5	188197	188197	NUM
cet-6263	220	6	.	.	PUNCT
cet-6263	221	1	wang	wang	PROPN
cet-6263	221	2	w.	w.	PROPN
cet-6263	221	3	,	,	PUNCT
cet-6263	221	4	carr	carr	PROPN
cet-6263	221	5	m.	m.	PROPN
cet-6263	221	6	,	,	PUNCT
cet-6263	221	7	xu	xu	PROPN
cet-6263	221	8	w.	w.	PROPN
cet-6263	221	9	,	,	PUNCT
cet-6263	221	10	kobbacy	kobbacy	PROPN
cet-6263	221	11	k.	k.	PROPN
cet-6263	221	12	,	,	PUNCT
cet-6263	221	13	2011	2011	NUM
cet-6263	221	14	,	,	PUNCT
cet-6263	221	15	a	a	DET
cet-6263	221	16	model	model	NOUN
cet-6263	221	17	for	for	ADP
cet-6263	221	18	residual	residual	ADJ
cet-6263	221	19	life	life	NOUN
cet-6263	221	20	prediction	prediction	NOUN
cet-6263	221	21	based	base	VERB
cet-6263	221	22	on	on	ADP
cet-6263	221	23	brownian	brownian	ADJ
cet-6263	221	24	motion	motion	NOUN
cet-6263	221	25	with	with	ADP
cet-6263	221	26	an	an	DET
cet-6263	221	27	adaptive	adaptive	ADJ
cet-6263	221	28	drift	drift	NOUN
cet-6263	221	29	.	.	PUNCT
cet-6263	222	1	microelectronics	microelectronic	NOUN
cet-6263	222	2	reliability	reliability	NOUN
cet-6263	222	3	,	,	PUNCT
cet-6263	222	4	51	51	NUM
cet-6263	222	5	,	,	PUNCT
cet-6263	222	6	285	285	NUM
cet-6263	222	7	-	-	SYM
cet-6263	222	8	293	293	NUM
cet-6263	222	9	.	.	PUNCT
cet-6263	222	10	336	336	NUM