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Asian Simulation Conference

SCS Autumn Simulation Multi-Conference

AsiaSim 2016, SCS AutumnSim 2016: Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems pp 53–62Cite as

Reliability Analysis of Multi-state System from Time Response

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 644))

Abstract

In this paper, firstly, it is discrete the engine output and constructed the Markov random process with the discrete state and continuous time. Secondly, we constructed a model of the multi-state Markov model and determined the transition intensity. Thirdly, we computed the expected of the engine capacity deficiency and the forced outage by the method.

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References

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Acknowledgments

The work was supported by the Foundation from the Excellent Talent of Bijie University (G2015003), the Science Technology Foundation of Guizhou Province, China ([2014] 2001), projects Department of Education of Guizhou Province, China (Qian Jiao Ke he KY zi [2014] 238) and the Fundamental Research Funds for Southwest University (XDJK2014C108).

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Authors and Affiliations

  1. School of Mechanical Engineering, Guizhou University of Engineering Science, Bijie, 551700, China

    Weihua Zhang & Yongfeng Fang

  2. Department of Engineering Science, University of Greenwich, Kent, ME4 4TB, UK

    Kong Fah Tee

Authors
  1. Weihua Zhang
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  2. Yongfeng Fang
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  3. Kong Fah Tee
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Corresponding author

Correspondence to Weihua Zhang .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Lin Zhang

  2. Beihang University , Beijing, China

    Xiao Song

  3. Beihang University , Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Zhang, W., Fang, Y., Tee, K.F. (2016). Reliability Analysis of Multi-state System from Time Response. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_6

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  • DOI: https://doi.org/10.1007/978-981-10-2666-9_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2665-2

  • Online ISBN: 978-981-10-2666-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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