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On-line fault diagnosis of FMS based on flows analysis

Author

Listed:
  • Olfa Fakhfakh

    (MARS Research-Unit, Campus Universitaire de la Manouba)

  • Armand Toguyeni

    (CRIStAL)

  • Ouajdi Korbaa

    (MARS Research-Unit)

Abstract

Any flexible manufacturing system (FMS) may face fault which may disrupt the production and cause delays. Thus, the identification of the source of failure is very important to intervene rapidly. This paper aims to develop an indirect and incremental diagnostic approach to identify the root cause of the observed delay in the context of a single fault occurrence. In this study the observation is done only at the output of the system to measure the output dates of each part and to detect the eventual delay. For this purpose, a mathematical model is developed to model the proposed diagnostic approach of FMS under cyclic scheduling. This cyclic approach provides intermediary reference points to detect any discrepancy with regard the predictive scheduling. These intermediary reference points correspond to the end of each cycle defined by the scheduling. To solve this problem, the constraint programming technique is used. Finally, the performance of the proposed approach is evaluated with respect to the literature. The major merit of this study is to prove the capacity to diagnose efficiently the progressive faults of a plant without the necessity to add sensors dedicated to its monitoring.

Suggested Citation

  • Olfa Fakhfakh & Armand Toguyeni & Ouajdi Korbaa, 2018. "On-line fault diagnosis of FMS based on flows analysis," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1891-1904, December.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:8:d:10.1007_s10845-016-1219-9
    DOI: 10.1007/s10845-016-1219-9
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    References listed on IDEAS

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    1. Hsu, Tiente & Korbaa, Ouajdi & Dupas, Rémy & Goncalves, Gilles, 2008. "Cyclic scheduling for F.M.S.: Modelling and evolutionary solving approach," European Journal of Operational Research, Elsevier, vol. 191(2), pages 464-484, December.
    2. Matthias Roth & Stefan Schneider & Jean-Jacques Lesage & Lothar Litz, 2012. "Fault detection and isolation in manufacturing systems with an identified discrete event model," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(10), pages 1826-1841.
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