Failure-Prediction by Stochastic Petri Nets in Repairable System Using Event Data

Failure-Prediction by Stochastic Petri Nets in Repairable System Using Event Data

An compatible modeling for a manufacturing system tries that it can response to increasing demands on system safety and performance, and economic maintenance under growing degree of systems automation and complicated. So, this is most important that we have high availability of service with cost optimization, especially for systems concerned by wear and ageing. In this paper, we present a discrete modeling by stochastic Petri nets (SPN) of the repairable systems. This modeling has been used of the state of wear and ageing records of the equipment in order to advance failure prediction. Likewise, improvement of failure-prediction related to analysis the event data of before occur failures in the repairable systems, it is by our modeling supported too.