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Time-domain multi-state Markov Model for engine system reliability analysis

Time-domain multi-state Markov Model for engine system reliability analysis

Fang, Yongfeng, Tao, Wenliang and Tee, Kong Fah (2016) Time-domain multi-state Markov Model for engine system reliability analysis. Mechanical Engineering Journal, 3 (3):16-00084. (doi:10.1299/mej.16-00084)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Multi-state, Engine system, Markov, Reliability, Time response
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 05 Oct 2017 10:58
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17700

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