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Fault diagnosis for discrete event systems: Modelling and verification

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  • Simeu-Abazi, Zineb
  • Di Mascolo, Maria
  • Knotek, Michal

Abstract

This paper proposes an effective way for diagnosis of discrete-event systems using a timed-automaton. It is based on the model-checking technique, thanks to time analysis of the timed model. The paper proposes a method to construct all the timed models and details the different steps used to obtain the diagnosis path. A dynamic model with temporal transitions is proposed in order to model the system. By “dynamical model†, we mean an extension of timed automata for which the faulty states are identified. The model of the studied system contains the faultless functioning states and all the faulty states. Our method is based on the backward exploitation of the dynamic model, where all possible reverse paths are searched. The reverse path is the connection of the faulty state to the initial state. The diagnosis method is based on the coherence between the faulty occurrence time and the reverse path length. A real-world batch process is used to demonstrate the modelling steps and the proposed backward time analysis method to reach the diagnosis results.

Suggested Citation

  • Simeu-Abazi, Zineb & Di Mascolo, Maria & Knotek, Michal, 2010. "Fault diagnosis for discrete event systems: Modelling and verification," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 369-378.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:4:p:369-378
    DOI: 10.1016/j.ress.2009.11.007
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    References listed on IDEAS

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    1. Simsek, Hidayet Tunc & Sengupta, Raja & Yovine, Sergio & Eskafi, Farokh, 1999. "Fault Diagnosis for Intra-platoon Communications," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3fq6247t, Institute of Transportation Studies, UC Berkeley.
    2. Jones, B. & Jenkinson, I. & Wang, J., 2009. "Methodology of using delay-time analysis for a manufacturing industry," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 111-124.
    3. Aven, Terje, 2008. "A semi-quantitative approach to risk analysis, as an alternative to QRAs," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 790-797.
    4. Kwang Pil, Chang & Rausand, Marvin & Vatn, Jørn, 2008. "Reliability assessment of reliquefaction systems on LNG carriers," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1345-1353.
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    Cited by:

    1. Li, Rui & Verhagen, Wim J.C. & Curran, Richard, 2020. "A systematic methodology for Prognostic and Health Management system architecture definition," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Simeu-Abazi, Zineb & Lefebvre, Arnaud & Derain, Jean-Pierre, 2011. "A methodology of alarm filtering using dynamic fault tree," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 257-266.

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