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Bidirectional implementation of Markov/CCMT for dynamic reliability analysis with application to digital I&C systems

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  • Yang, Jun
  • Zou, Bowen
  • Yang, Ming

Abstract

The paper presents a framework of Markov/CCMT search engine platform for dynamic system reliability modeling and analysis. The search engine platform implemented with a versatile Markov/CCMT algorithm that supports multiple search modes including forward-tracing, backtracking and bidirectional search. The scalability and practicality of the proposed bidirectional search algorithm is demonstrated with a Boiling Water Reactor feedwater control system. The comparisons of multiway search analysis indicate that the complete and optimal solutions can be assured in the implementation of Markov/CCMT algorithm using breadth first search. The bidirectional search algorithm implemented with forward-backward integration by allowing the use of pruning criterion is well supported for search efficiency improvement.

Suggested Citation

  • Yang, Jun & Zou, Bowen & Yang, Ming, 2019. "Bidirectional implementation of Markov/CCMT for dynamic reliability analysis with application to digital I&C systems," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 278-290.
    • Handle: RePEc:eee:reensy:v:185:y:2019:i:c:p:278-290
    DOI: 10.1016/j.ress.2018.12.024
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    References listed on IDEAS

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    1. Aldemir, T. & Guarro, S. & Mandelli, D. & Kirschenbaum, J. & Mangan, L.A. & Bucci, P. & Yau, M. & Ekici, E. & Miller, D.W. & Sun, X. & Arndt, S.A., 2010. "Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1011-1039.
    2. Kim, Man Cheol & Smidts, Carol S., 2015. "Three suggestions on the definition of terms for the safety and reliability analysis of digital systems," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 81-91.
    3. Yang, Jun & Aldemir, Tunc, 2016. "An algorithm for the computationally efficient deductive implementation of the Markov/Cell-to-Cell-Mapping Technique for risk significant scenario identification," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 1-8.
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    Cited by:

    1. KIM, Junyung & ZHAO, Xingang & SHAH, Asad Ullah Amin & KANG, Hyun Gook, 2021. "System risk quantification and decision making support using functional modeling and dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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