Evaluating maintenance policies by quantitative modeling and analysis

Enrico Zio (1) , Michele Compare (2)

1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
2 Dipartimento di Energia [Milano]

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

Domains: Electric power; Other

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