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Reliability analysis of non‐repairable systems modeled by dynamic fault trees with priority AND gates

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  • Daochuan Ge
  • Yanhua Yang

Abstract

Many real‐life systems are typically involved in sequence‐dependent failure behaviors. Such systems can be modeled by dynamic fault trees (DFTs) with priority AND gates, in which the occurrence of the top events depends on not only combinations of basic events but also their failure sequences. To the author's knowledge, the existing methods for reliability assessment of DFTs with priority AND gates are mainly Markov‐state‐space‐based, inclusion–exclusion‐based, Monte Carlo simulation‐based, or sequential binary decision diagram‐based approaches. Unfortunately, all these methods have their shortcomings. They either suffer the problem of state space explosion or are restricted to exponential components time‐to‐failure distributions or need a long computation time to obtain a solution with a high accuracy. In this article, a novel method based on dynamic binary decision tree (DBDT) is first proposed. To build the DBDT model of a given DFT, we present an adapted format of the traditional Shannon's decomposition theorem. Considering that the chosen variable index has a great effect on the final scale of disjoint calculable cut sequences generated from a built DBDT, which to some extent determines the computational efficiency of the proposed method, some heuristic branching rules are presented. To validate our proposed method, a case study is analyzed. The results indicate that the proposed method is reasonable and efficient. Copyright © 2015 John Wiley & Sons, Ltd.

Suggested Citation

  • Daochuan Ge & Yanhua Yang, 2015. "Reliability analysis of non‐repairable systems modeled by dynamic fault trees with priority AND gates," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 31(6), pages 809-822, November.
  • Handle: RePEc:wly:apsmbi:v:31:y:2015:i:6:p:809-822
    DOI: 10.1002/asmb.2108
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    Cited by:

    1. Haiyue Yu & Xiaoyue Wu, 2021. "A method for transformation from dynamic fault tree to binary decision diagram," Journal of Risk and Reliability, , vol. 235(3), pages 416-430, June.
    2. Lin, Zhixian & Tao, Longlong & Wang, Shaoxuan & Yong, Nuo & Xia, Dongqin & Wang, Jianye & Ge, Daochuan, 2024. "A subset simulation analysis framework for rapid reliability evaluation of series-parallel cold standby systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Gascard, Eric & Simeu-Abazi, Zineb, 2018. "Quantitative Analysis of Dynamic Fault Trees by means of Monte Carlo Simulations: Event-Driven Simulation Approach," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 487-504.
    4. Chemweno, Peter & Pintelon, Liliane & Muchiri, Peter Nganga & Van Horenbeek, Adriaan, 2018. "Risk assessment methodologies in maintenance decision making: A review of dependability modelling approaches," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 64-77.
    5. Dingqing Guo & Jinkai Wang & Jian Lin & Bing Zhang & Nou Yong & Dongqin Xia & Daochuan Ge, 2023. "An adapted component-connection method for building SBDD encoding a dynamic fault tree," Journal of Risk and Reliability, , vol. 237(6), pages 1163-1174, December.

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