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Assessment of prognostic in maintenance decision-making for a deteriorating system under indirect condition monitoring

Khac Tuan Huynh 1 Anne Barros 1 Christophe Bérenguer 1
1 M2S - Modélisation et Sûreté des Systèmes
ISTIT - Institut des Sciences et Technologies de l'Information de Troyes
Abstract : This work deals with a maintenance problem: assessment of prognostic in maintenance decision-making. We consider a single-unit deteriorating system subject to a crack growth modeled by the Paris-Ergodan law. A non-destructive ultrasonic technique is used to monitor the system condition. Then based on this model, four maintenance policies are developed: two proposed maintenance policies based on prognostic information and two more classical maintenance policies used as benchmark. Value of prognostic in maintenance decision-making is investigated by comparing the optimal long run expected cost rate of the different policies.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02557298
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Submitted on : Tuesday, April 28, 2020 - 4:25:50 PM
Last modification on : Friday, July 9, 2021 - 9:48:33 AM

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  • HAL Id : hal-02557298, version 1

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Khac Tuan Huynh, Anne Barros, Christophe Bérenguer. Assessment of prognostic in maintenance decision-making for a deteriorating system under indirect condition monitoring. European Safety and Reliability Conference, Sep 2010, Rhodes, Greece. ⟨hal-02557298⟩

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