Contribution to the monitoring of an automated production system by hybrid interpreted petri nets

Abstract

This article proposes the establishment of monitoring and diagnosis tools in order to implement an automated system. The purpose of monitoring task is to preserve the production equipments quality and personnel safety. The study proposed in this paper consists in developing algorithms, based on Hybrid Signal Interpreted Petri Nets (HSIPN) for monitoring the quality of bobbins obtained by a winding machine. This monitoring approach is integrated into maintenance decision process.