Time-domain multi-state markov model for engine system reliability analysis

A novel reliability-based approach has been developed for multi-state engine systems. Firstly, the output power of the engine is discretized and modeled as a discrete-state continuous-time Markov random process. Secondly, the multi-state Markov model is established. According to the observed data, t...

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Autores principales:	Yongfeng FANG, Wenliang TAO, Kong Fah TEE
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	multi-state engine system markov reliability time response Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/3e03b650dab74f4bb8cc67c6fd0619cf
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id	oai:doaj.org-article:3e03b650dab74f4bb8cc67c6fd0619cf
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spelling	oai:doaj.org-article:3e03b650dab74f4bb8cc67c6fd0619cf2021-11-26T06:51:31ZTime-domain multi-state markov model for engine system reliability analysis2187-974510.1299/mej.16-00084https://doaj.org/article/3e03b650dab74f4bb8cc67c6fd0619cf2016-06-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/3/3_16-00084/_pdf/-char/enhttps://doaj.org/toc/2187-9745A novel reliability-based approach has been developed for multi-state engine systems. Firstly, the output power of the engine is discretized and modeled as a discrete-state continuous-time Markov random process. Secondly, the multi-state Markov model is established. According to the observed data, the transition intensity is determined. Thirdly, the proposed method is extended to compute the forced outage rate and the expected engine capacity deficiency based on time response. The proposed method can therefore be used for forecasting and monitoring the reliability of the multi-state engine utilizing time-domain response data. It is illustrated that the proposed method is practicable, feasible and gives reasonable prediction which conforms to the engineering practice.Yongfeng FANGWenliang TAOKong Fah TEEThe Japan Society of Mechanical Engineersarticlemulti-stateengine systemmarkovreliabilitytime responseMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 3, Pp 16-00084-16-00084 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-state engine system markov reliability time response Mechanical engineering and machinery TJ1-1570
spellingShingle	multi-state engine system markov reliability time response Mechanical engineering and machinery TJ1-1570 Yongfeng FANG Wenliang TAO Kong Fah TEE Time-domain multi-state markov model for engine system reliability analysis
description	A novel reliability-based approach has been developed for multi-state engine systems. Firstly, the output power of the engine is discretized and modeled as a discrete-state continuous-time Markov random process. Secondly, the multi-state Markov model is established. According to the observed data, the transition intensity is determined. Thirdly, the proposed method is extended to compute the forced outage rate and the expected engine capacity deficiency based on time response. The proposed method can therefore be used for forecasting and monitoring the reliability of the multi-state engine utilizing time-domain response data. It is illustrated that the proposed method is practicable, feasible and gives reasonable prediction which conforms to the engineering practice.
format	article
author	Yongfeng FANG Wenliang TAO Kong Fah TEE
author_facet	Yongfeng FANG Wenliang TAO Kong Fah TEE
author_sort	Yongfeng FANG
title	Time-domain multi-state markov model for engine system reliability analysis
title_short	Time-domain multi-state markov model for engine system reliability analysis
title_full	Time-domain multi-state markov model for engine system reliability analysis
title_fullStr	Time-domain multi-state markov model for engine system reliability analysis
title_full_unstemmed	Time-domain multi-state markov model for engine system reliability analysis
title_sort	time-domain multi-state markov model for engine system reliability analysis
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/3e03b650dab74f4bb8cc67c6fd0619cf
work_keys_str_mv	AT yongfengfang timedomainmultistatemarkovmodelforenginesystemreliabilityanalysis AT wenliangtao timedomainmultistatemarkovmodelforenginesystemreliabilityanalysis AT kongfahtee timedomainmultistatemarkovmodelforenginesystemreliabilityanalysis
_version_	1718409713951965184

Time-domain multi-state markov model for engine system reliability analysis

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