A DYNAMIC SUPERVISION APPROACH BASED ON STOCHASTIC P-TIMED PETRI NETS: APPLICATION TO A RAILWAY TRANSPORT NETWORK

Developments presented in this paper are devoted to the monitoring of railway transport systems. Stochastic P-time Petri Nets (SP-TPN) are used for modelling. With the aim of improving the railway transport quality, we propose a new monitoring structure able to react to different situations without prior knowledge of the system's failure modes. The failure detection is based on taking into account the temporal aspect of the system to be monitored. In this context, the developed supervision approach, based on timed automaton, aims to detect, locate failures that affect system performance and reliability. Finally, to illustrate the effectiveness and accuracy of the dynamic monitoring approach, an application to realistic railway networks is outlined.