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Adaptive condition-based maintenance models for deteriorating systems operating under variables environment and indirect condition monitoring

Khac Tuan Huynh 1 Anne Barros 1 Christophe Bérenguer 1 Inma Castro 2
1 M2S - Modélisation et Sûreté des Systèmes
ISTIT - Institut des Sciences et Technologies de l'Information de Troyes
Abstract : The present paper deals with the efficient use of different types of covariate information in optimising condition-based maintenance decision-making for a deteriorating system operating under variable environment. The degradation phenomenon of system is the fatigue crack growth which is modelled by a physics-based stochastic process. The environment process is assumed to be a time-homogenous Markov chain with finite state space. We suppose that the environment state is observed perfectly, while the degradation state can be accessed only through an indirect monitoring technique. As such, two kinds of information are available at each inspection time: environmental covariate (external covariate) and diagnostic covariate (internal covariate). Based on this set of information, two condition-based maintenance policies adaptive to environment state are developed. In the first one, the adaptation approach is time-based, while in the second, it is condition-based. These maintenance strategies are compared with each other and with a classical non-adaptive one to point out the performances of each adaptation approach and hence the appreciation of using different information sources in maintenance decision-making.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02557283
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, April 28, 2020 - 4:18:24 PM
Last modification on : Wednesday, April 29, 2020 - 1:42:33 AM

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  • HAL Id : hal-02557283, version 1

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Khac Tuan Huynh, Anne Barros, Christophe Bérenguer, Inma Castro. Adaptive condition-based maintenance models for deteriorating systems operating under variables environment and indirect condition monitoring. European Safety and Reliability Conference, Sep 2011, Troyes, France. ⟨hal-02557283⟩

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