Abstract
Maintenance and its integration with control and monitoring systems enable the improvement of systems functioning, regarding availability, efficiency, productivity and quality. This paper proposes a monitoring-maintenance approach based on fuzzy Petri Nets (PN’s) for manufacturing job-shops with time constraints. In such systems, operation times are included between a minimum and a maximum value. In this context, we propose a new fuzzy Petri net called Fuzzy Petri Net for maintenance (FPNM). This tool is able to identify and select maintenance activities of a discrete event system with time constraints, using a temporal fuzzy approach. The maintenance module is consists of P-time PNs and fault tree. The first is used for modelling of normal behaviour of the system by temporal spectrum of the marking. The second model corresponds to diagnosis activities. Finally, to illustrate the effectiveness and accuracy of proposed maintenance approach, two industrial examples are depicted.
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