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

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.

Domaines: Performance et fiabilité [cs.PF]

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⟩