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