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Uncertainty analysis in degradation modeling for maintenance policy assessment

Piero Baraldi 1 Michele Compare 1 Enrico Zio 2, *
* Corresponding author
1 DENG - Dipartimento di Energia [Milano]
2 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
Abstract : We consider the problem of the evaluation of the maintenance policy of a component by means of degradation modeling. We assume that the stochastic laws governing the degradation process are uncertain, and so are the related parameters. We assume that the information available is in the form of qualitative judgment by an expert. We develop a representation framework based on Possibility Theory and the concept of Fuzzy Random Variables. An example of application is given with reference to Medium-Voltage Circuit-Breaker test facility.
keyword : Maintenance uncertainty imprecise model parameters fuzzy random variables
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Journal articles
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https://hal-supelec.archives-ouvertes.fr/hal-00836421
Contributor : Yanfu Li <>
Submitted on : Thursday, June 20, 2013 - 9:36:20 PM
Last modification on : Monday, December 14, 2020 - 12:28:46 PM

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  • HAL Id : hal-00836421, version 1

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Piero Baraldi, Michele Compare, Enrico Zio. Uncertainty analysis in degradation modeling for maintenance policy assessment. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, 2013, 227 (3), pp.267-27. ⟨hal-00836421⟩

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