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Détermination de classes de modalités de dégradation significatives pour le pronostic et la maintenance

Abstract : The work presented in this thesis deals with the problem of determination of classes of systems according to their aging mode in the aim of preventing a failure and making a decision of maintenance. The evolution of the observed deterioration levels of a system can be modeled by a parameterized stochastic process. A commonly used model is the Gamma process. We are interested in the case where all the systems do not age identically and the aging mode depends on the condition of usage of systems or system properties, called the set of covariates. Then, we aims to group the systems that age similarly by taking into account the covariate and to identify the parameters of the model associated with each class.At first, the problem is presented especially with the definition of constraints: time increments of irregular observations, any number of observations per path which describes an evolution, consideration of the covariate. Then the methods are proposed. They combine a likelihood criterion in the space of the increments of deterioration levels, and a coherence criterion in the space of the covariate. A normalization technique is introduced to control the importance of each of these two criteria. Experimental studies are performed to illustrate the effectiveness of the proposed methods
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Submitted on : Friday, October 16, 2020 - 12:32:09 PM
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Xuanzhou Wang. Détermination de classes de modalités de dégradation significatives pour le pronostic et la maintenance. Recherche opérationnelle [cs.RO]. Université de Technologie de Troyes, 2013. Français. ⟨NNT : 2013TROY0022⟩. ⟨tel-02969060⟩



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