OF-PENDA: A Software Tool for Fault Diagnosis of Discrete Event Systems Modeled by Labeled Petri Nets

نویسندگان

  • Baisi Liu
  • Mohamed Ghazel
  • Armand Toguyéni
چکیده

In this paper, a software tool to deal with diagnosis of discrete event systems (DESs) is presented. This tool called On-the-Fly PEtri-Net-based Diagnosability Analyzer (OF-PENDA) implements the techniques developed in [13] for the diagnosis of DESs modeled by labeled Petri nets (LPNs). This technique aims to cope with the state explosion problem which is a major issue when dealing with diagnosis of DESs. In particular, OF-PENDA implements an incremental and onthe-fly algorithm which makes it possible to analyze (K-)diagnosability without necessarily generating the whole state space of the model. Three aspects for OF-PENDA are discussed in this paper: an overview on the implemented technique is given; some features of the tool are discussed; then two illustrative case studies are processed to show the efficiency in terms of time and memory compared with some existing approaches.

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تاریخ انتشار 2014