Opportunistic predictive maintenance based on discrete event simulation

Predictive maintenance (PDM) focuses on failure prediction in order to prevent failure in advance and offer sufficient information to improve inherent safety and maintenance planning. A novel opportunistic predictive maintenance-decision (OPM) method integrating of machinery prognostic and opportunistic maintenance model is proposed in this paper to indicate the optimal maintenance time with minimal cost and safety constrains .Understanding that for a complex system, whenever one of the components stops to perform a predictive maintenance action, the whole complex system must be stopped, at this moment, PDM opportunities arise for the other degraded components in the system at a reduced additional cost. Therefore, this paper further proposes an opportunistic PDM strategy for global cost optimization of predictive maintenance for the whole system, which considers failure probabilities, repair costs, down time cost, set-up cost. Numerical example shows the effectiveness PDM strategy