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Modeling Failure with Repair

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Bayesian Inference for Probabilistic Risk Assessment

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

In earlier chapters we analyzed times to occurrence of an event of interest. Such an event could be failure of a component or system. If the failure is not repaired, and the component or system is replaced following failure, then the earlier analysis methods are applicable. However, in this chapter, we consider the case in which the failed component or system is repaired and placed back into service.

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Notes

  1. 1.

    Intermediate cases, in which repair leaves the component in a state in between new and old, can also be modeled, along with imperfect repair, which leaves a component worse than old. Such more general models are less commonly used, and are still an area of research and thus practical guidelines are difficult to give, so they are not included herein.

References

  1. Rodionov A, Kelly D, Uwe-Klügel J (2009) Guidelines for analysis of data related to ageing of nuclear power plant components and systems. Joint Research Centre, Institute for Energy, Luxembourg: European Commission

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  2. Ascher H, Feingold H (1984) Repairable systems reliability: modeling, inference, misconceptions and their causes. Marcel Dekker Inc, New York

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  3. Bain L, Engelhardt M (1991) Statistical theory of reliability and life-testing models. Marcel Dekker, New York

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Authors and Affiliations

  1. Idaho National Laboratory (INL), PO Box 1625, Idaho Falls, ID, 83415-3850, USA

    Dana Kelly & Curtis Smith

Authors
  1. Dana Kelly
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  2. Curtis Smith
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Correspondence to Dana Kelly .

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© 2011 Springer-Verlag London Limited

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Kelly, D., Smith, C. (2011). Modeling Failure with Repair. In: Bayesian Inference for Probabilistic Risk Assessment. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-84996-187-5_9

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  • DOI: https://doi.org/10.1007/978-1-84996-187-5_9

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-186-8

  • Online ISBN: 978-1-84996-187-5

  • eBook Packages: EngineeringEngineering (R0)

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