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Case ReportOpen Access

A Hierarchical Reduced Markov Model for Reliability Evaluation of Phased-Mission Systems

Volume 11 - Issue 4

Hua Yan1, Pu Long Cui*1, Yi Sheng Wang1, Bi Xing Li2, Fei Wan1 and De Li1

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    • 1Department of Military Logistics, China
    • 2Department of Oil Management, China
    • *Corresponding author: Pu Long Cui, Department of Military Logistics, Chongqing, China

Received: November 23, 2018;   Published: November 30, 2018

DOI: 10.26717/BJSTR.2018.11.002128

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This paper presents a reduced Markov model to evaluate the Phased-Mission System (PMS) reliability. The time cost and storage requirement are very huge using traditional Markov model to analyze the reliability of PMS as the number of components increases to a large scale. The hierarchical reduction approach proposed in this paper can account for the PMS which is composed of different level components. Such as thrust equipment of an aircraft can be further decomposed into compressor and turbine runner. The reduced Markov model by hierarchical reduction will have a smaller number of system states than the traditional model. Finally, the effectiveness and correctness of our approach is analyzed by comparing with the traditional Markov method.

Nomenclature| Conclusion| Acknowledgement| References|