A novel fuzzy monitoring approach for manufacturing systems with staying time

摘要

Developments presented in this paper are devoted to the supervision based on P-time Petri nets (P-TPN) for manufacturing job-shops with time constraints. In such systems, operation times are included between a minimum and a maximum value. The monitoring consists in a set of two collaborative PNs. The first is used for modeling of normal behavior of the system by temporal spectrum of the marking. The second model corresponds to the maintenance activities. In this context, we propose a new P-time Petri net for maintenance (PTPnM). This tool includes deterioration process, personnel and maintenance strategies. The aim of this original approach is to show how the detection of the constraints violation could make the maintenance more efficient by performing an early diagnosis. Finally, to demonstrate the effectiveness and accuracy of the monitoring approach, an application to a coil winding machine is outlined.