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Evaluating maintenance policies by quantitative modeling and analysis

Abstract : The growing importance of maintenance in the evolving industrial scenario and the technological advancements of the recent years have yielded the development of modern maintenance strategies such as the condition-based maintenance (CBM) and the predictive maintenance (PrM). In practice, assessing whether these strategies really improve the maintenance performance becomes a funda-mental issue. In the present work, this is addressed with reference to an example concerning the stochastic crack growth of a generic mechanical component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy.
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Submitted on : Monday, September 24, 2012 - 9:30:14 AM
Last modification on : Saturday, May 8, 2021 - 3:26:58 AM
Long-term archiving on: : Friday, December 16, 2016 - 3:01:24 PM


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Enrico Zio, Michele Compare. Evaluating maintenance policies by quantitative modeling and analysis. Reliability Engineering and System Safety, Elsevier, 2013, 109, pp.53-65. ⟨10.1016/j.ress.2012.08.002⟩. ⟨hal-00734272⟩



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