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Reliability Analysis of Multi-State Engine Units Utilizing Time-Domain Response Data

Author

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  • FANG Yongfeng

    (School of Electronic & Mechanical Engineering, Guizhou University of Science Technology, Bijie551700, China)

  • TAO Wenliang

    (School of Electronic & Mechanical Engineering, Guizhou University of Science Technology, Bijie551700, China)

  • TEE Kong Fah

    (Department of Engineering Science, University of Greenwich, KentME44TB, United Kingdom)

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.

Suggested Citation

  • FANG Yongfeng & TAO Wenliang & TEE Kong Fah, 2016. "Reliability Analysis of Multi-State Engine Units Utilizing Time-Domain Response Data," Journal of Systems Science and Information, De Gruyter, vol. 4(4), pages 354-364, August.
    • Handle: RePEc:bpj:jossai:v:4:y:2016:i:4:p:354-364:n:6
    DOI: 10.21078/JSSI-2016-354-11
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    References listed on IDEAS

    as
    1. Lisnianski, Anatoly & Elmakias, David & Laredo, David & Ben Haim, Hanoch, 2012. "A multi-state Markov model for a short-term reliability analysis of a power generating unit," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 1-6.
    2. Roy Billinton & Yi Gao & Dange Huang & Rajesh Karki, 2011. "Adequacy Assessment of Wind-Integrated Composite Generation and Transmission Systems," Springer Series in Reliability Engineering, in: George Anders & Alfredo Vaccaro (ed.), Innovations in Power Systems Reliability, pages 141-167, Springer.
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