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Multi-State Availability Modeling in Practice

In: Recent Advances in System Reliability

Author

Listed:
  • Kishor S. Trivedi

    (Duke University)

  • Dong Seong Kim

    (Duke University)

  • Xiaoyan Yin

    (Duke University)

Abstract

This chapter presents multi-state availability modeling in practice. We use three analytic modeling techniques; (1) continuous time Markov chains, (2) stochastic reward nets, and (3) multi-state fault trees. Two case studies are presented to show the usage of these modeling techniques: a simple system with two boards and the processors subsystem of the VAXcluster. The three modeling techniques are compared in terms of the solution accuracy and the solution time.

Suggested Citation

  • Kishor S. Trivedi & Dong Seong Kim & Xiaoyan Yin, 2012. "Multi-State Availability Modeling in Practice," Springer Series in Reliability Engineering, in: Anatoly Lisnianski & Ilia Frenkel (ed.), Recent Advances in System Reliability, chapter 0, pages 165-180, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-2207-4_12
    DOI: 10.1007/978-1-4471-2207-4_12
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    Cited by:

    1. Jafary, Bentolhoda & Fiondella, Lance, 2016. "A universal generating function-based multi-state system performance model subject to correlated failures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 16-27.
    2. Peng, Rui & Xiao, Hui & Liu, Hanlin, 2017. "Reliability of multi-state systems with a performance sharing group of limited size," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 164-170.

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