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Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets

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  • Doyra Mariela Muñoz
  • Antonio Correcher
  • Emilio García
  • Francisco Morant

Abstract

This proposal presents an online method to detect and isolate faults in stochastic discrete event systems without previous model. A coloured timed interpreted Petri Net generates the normal behavior language after an identification stage. The next step is fault detection that is carried out by comparing the observed event sequences with the expected event sequences. Once a new fault is detected, a learning algorithm changes the structure of the diagnoser, so it is able to learn new fault languages. Moreover, the diagnoser includes timed events to represent and diagnose stochastic languages. Finally, this paper proposes a detectability condition for stochastic DES and the sufficient and necessary conditions are proved.

Suggested Citation

  • Doyra Mariela Muñoz & Antonio Correcher & Emilio García & Francisco Morant, 2015. "Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, March.
    • Handle: RePEc:hin:jnlmpe:303107
    DOI: 10.1155/2015/303107
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