Evaluating maintenance policies by quantitative modeling and analysis

Enrico Zio and Michele Compare

Reliability Engineering and System Safety, 2013, vol. 109, issue C, 53-65

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 fundamental 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.

Keywords: Maintenance performance; Condition-Based Maintenance; Predictive Maintenance; Particle; Filtering (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (38)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:109:y:2013:i:c:p:53-65

DOI: 10.1016/j.ress.2012.08.002

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