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Common-cause failure analysis in event assessment

Author

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  • D M Rasmuson
  • D L Kelly

Abstract

This paper reviews the basic concepts of modelling common-cause failures (CCFs) in reliability and risk studies and then applies these concepts to the treatment of CCF in event assessment. The cases of a failed component (with and without shared CCF potential) and a component being unavailable due to preventive maintenance or testing are addressed. The treatment of two related failure modes (e.g. failure to start and failure to run) is a new feature of this paper, as is the treatment of asymmetry within a common-cause component group.

Suggested Citation

  • D M Rasmuson & D L Kelly, 2008. "Common-cause failure analysis in event assessment," Journal of Risk and Reliability, , vol. 222(4), pages 521-532, December.
    • Handle: RePEc:sae:risrel:v:222:y:2008:i:4:p:521-532
    DOI: 10.1243/1748006XJRR121
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    Citations

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    Cited by:

    1. Coolen, Frank P.A. & Coolen-Maturi, Tahani, 2015. "Predictive inference for system reliability after common-cause component failures," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 27-33.
    2. Zheng, Xiaoyu & Yamaguchi, Akira & Takata, Takashi, 2013. "α-Decomposition for estimating parameters in common cause failure modeling based on causal inference," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 20-27.
    3. O’Connor, Andrew & Mosleh, Ali, 2016. "A general cause based methodology for analysis of common cause and dependent failures in system risk and reliability assessments," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 341-350.

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