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Anticipating aging failure using feedback data and expert judgment

Author

Listed:
  • Peres, François
  • Bouzaïene, Leïla
  • Bocquet, Jean-Claude
  • Billy, François
  • Lannoy, André
  • Haïk, Philippe

Abstract

This paper presents a methodology for anticipating failures in a component up to the end of its life cycle. Often, feedback data is not sufficient and must be complemented by the analysis of expert judgment. The methodology developed aims at anticipating the degradation mechanisms responsible for aging, and evaluating their relevance and related uncertainties. This is necessary information for risk analysis related to the operating of a component up to the end of its life cycle. Lastly, the methodology is applied to a nuclear component.

Suggested Citation

  • Peres, François & Bouzaïene, Leïla & Bocquet, Jean-Claude & Billy, François & Lannoy, André & Haïk, Philippe, 2007. "Anticipating aging failure using feedback data and expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 200-210.
  • Handle: RePEc:eee:reensy:v:92:y:2007:i:2:p:200-210
    DOI: 10.1016/j.ress.2005.11.063
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    Cited by:

    1. P Vaidya & M Rausand, 2011. "Remaining useful life, technical health, and life extension," Journal of Risk and Reliability, , vol. 225(2), pages 219-231, June.
    2. Rodionov, Andrei & Atwood, Corwin L. & Kirchsteiger, Christian & Patrik, Milan, 2008. "Demonstration of statistical approaches to identify component's ageing by operational data analysis—A case study for the ageing PSA network," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1534-1542.
    3. André Lannoy & Henri Procaccia, 2014. "Expertise, safety, reliability, and decision making: practical industrial experience," Environment Systems and Decisions, Springer, vol. 34(2), pages 259-276, June.
    4. Kowal, Karol, 2022. "Lifetime reliability and availability simulation for the electrical system of HTTR coupled to the electricity-hydrogen cogeneration plant," Reliability Engineering and System Safety, Elsevier, vol. 223(C).

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