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Modélisation dynamique de systèmes complexes pour le calcul de grandeurs fiabilistes et l'optimisation de la maintenance

Abstract : The aim of this work is to propose a methodology to optimize a multi-components system maintenance. This new maintenance strategy must be adapted to budget and safety constraints and operating conditions. The aging of components and the complexity of studied maintenance strategies require us to use new probabilistic models in order to address the problem. A stochastic process from Dynamic Reliability called Piecewise Deterministic Markov Process is applied. Reliability calculations are here established by using a deterministic algorithm method based on a finite volume scheme. Using this type of algorithm in this context of application presents difficulties due to computer memory space. We propose several methods to counter these difficulties. The optimization of a maintenance plan is then performed using a simulated annealing algorithm. This methodology was used to optimize the maintenance of two rail systems used by the French national railway company (SNCF).
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https://tel.archives-ouvertes.fr/tel-00643981
Contributor : William Lair <>
Submitted on : Thursday, November 24, 2011 - 9:20:35 PM
Last modification on : Friday, January 15, 2021 - 9:24:39 AM
Long-term archiving on: : Saturday, February 25, 2012 - 2:30:36 AM

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  • HAL Id : tel-00643981, version 2

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William Lair. Modélisation dynamique de systèmes complexes pour le calcul de grandeurs fiabilistes et l'optimisation de la maintenance. Probabilités [math.PR]. Université de Pau et des Pays de l'Adour, 2011. Français. ⟨tel-00643981v2⟩

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