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1 Chaire Sciences des Systèmes et Défis Energétiques EDF-ECP-Supélec LGI - Laboratoire Génie Industriel - EA 2606, SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF-ECP-Supélec, Dipartimento di Energia 2 Dipartimento di Energia

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.

Keywords : Maintenance performance Condition-Based Maintenance Predictive Maintenance Particle Filtering





Autor: Enrico Zio - Michele Compare -

Fuente: https://hal.archives-ouvertes.fr/



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