Fault Monitoring of Discrete Event Systems by First Order Hybrid Petri Nets

— Fault monitoring is an essential requirement for safety and reliability of dynamic systems. Motivated by the fact that a large class of dynamic systems can be viewed as Discrete Event Systems (DESs) at some level of abstraction, the paper presents a novel event-based approach for DES on-line monitoring, ensuring timely and accurate detection of system failures. The monitor model is based on first order hybrid Petri nets, i.e., Petri nets that make use of first order fluid approximation. The proposed fault analysis technique relies on a modular framework, so that elementary monitors can be connected with other monitors to check more complex systems while avoiding the state space explosion problem. In addition, the presented monitor detects system faults as soon as possible, before the maximum execution time assigned to each task. An application to a simple manufacturing system enlightens the simplicity and modularity of the technique.

[1]  Antonio Ramírez-Treviño,et al.  Online Fault Diagnosis of Discrete Event Systems. A Petri Net-Based Approach , 2007, IEEE Transactions on Automation Science and Engineering.

[2]  Stéphane Lafortune,et al.  Failure diagnosis using discrete event models , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[3]  Shengbing Jiang,et al.  Diagnosis of repeated/intermittent failures in discrete event systems , 2003, IEEE Trans. Robotics Autom..

[4]  Michel Bigand,et al.  A MONITORING APPROACH FOR DISCRETE EVENT SYSTEMS BASED ON A TIME PETRI NET MODEL , 2005 .

[5]  Stéphane Lafortune,et al.  Active diagnosis of discrete event systems , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[6]  Raja Sengupta,et al.  Diagnosability of discrete-event systems , 1995, IEEE Trans. Autom. Control..

[7]  V. S. Srinivasan,et al.  Fault detection/monitoring using time Petri nets , 1993, IEEE Trans. Syst. Man Cybern..

[8]  Lawrence E. Holloway,et al.  Template languages for fault monitoring of timed discrete event processes , 2000, IEEE Trans. Autom. Control..

[9]  C. H. Lie,et al.  Fault Tree Analysis, Methods, and Applications ߝ A Review , 1985, IEEE Transactions on Reliability.

[10]  Feng Lin,et al.  Diagnosability of discrete event systems and its applications , 1994, Discret. Event Dyn. Syst..