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

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Khac Tuan Huynh
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Anne Barros

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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Dates and versions

hal-02557298 , version 1 (28-04-2020)

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  • HAL Id : hal-02557298 , version 1

Cite

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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