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BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures

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  • Xing, Liudong
  • Levitin, Gregory

Abstract

Phased-mission systems (PMS) are systems in which multiple non-overlapping phases of operations (or tasks) are accomplished in sequence for a successful mission. Examples of PMS abound in applications such as aerospace, nuclear power, and airborne weapon systems. Reliability analysis of a PMS must consider statistical dependence across different phases as well as dynamics in system configuration, failure criteria, and component behavior. This paper proposes a binary decision diagrams (BDD) based method for the reliability evaluation of non-repairable binary-state PMS with common-cause failures (CCF). CCF are simultaneous failure of multiple system elements, which can be caused by some external factors (e.g., lightning strikes, sudden changes in environment) or by propagated failures originating from some elements within the system. Both the external and internal CCF is considered in this paper. The proposed method is combinatorial, exact, and is applicable to PMS with arbitrary system structures and component failure distributions. An example with different CCF scenarios is analyzed to illustrate the application and advantages of the proposed method.

Suggested Citation

  • Xing, Liudong & Levitin, Gregory, 2013. "BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 145-153.
    • Handle: RePEc:eee:reensy:v:112:y:2013:i:c:p:145-153
    DOI: 10.1016/j.ress.2012.12.003
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    References listed on IDEAS

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    1. A Shrestha & L Xing, 2008. "Improved modular reliability analyses of hybrid phased mission systems," Journal of Risk and Reliability, , vol. 222(4), pages 507-520, December.
    2. Remenyte-Prescott, R. & Andrews, J.D. & Chung, P.W.H., 2010. "An efficient phased mission reliability analysis for autonomous vehicles," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 226-235.
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