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Cause–consequence analysis of non-repairable phased missions

Author

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  • Vyzaite, Gintare
  • Dunnett, Sarah
  • Andrews, John

Abstract

Many systems can be modelled as a mission made up of a sequence of discrete phases. Each phase has a different requirement for successful completion and mission failure will result if any phase is unsuccessful. Fault tree analysis and Markov techniques have been used previously to model this type of system for non-repairable and repairable systems, respectively. Cause–consequence analysis is an alternative assessment technique capable of modelling all system outcomes on one logic diagram. The structure of the diagram has been shown to have advantageous features in both its representation of the system failure logic and its subsequent quantification, which could be applied to phased mission analysis.

Suggested Citation

  • Vyzaite, Gintare & Dunnett, Sarah & Andrews, John, 2006. "Cause–consequence analysis of non-repairable phased missions," Reliability Engineering and System Safety, Elsevier, vol. 91(4), pages 398-406.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:4:p:398-406
    DOI: 10.1016/j.ress.2005.02.009
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    Cited by:

    1. Wang, Chaonan & Xing, Liudong & Levitin, Gregory, 2014. "Explicit and implicit methods for probabilistic common-cause failure analysis," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 175-184.
    2. Xing, Liudong & Amari, Suprasad V. & Wang, Chaonan, 2012. "Reliability of k-out-of-n systems with phased-mission requirements and imperfect fault coverage," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 45-50.

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