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An approach to multiple fault diagnosis using fuzzy logic

Author

Listed:
  • Adrián Rodríguez Ramos

    (Instituto Politécnico José A. Echeverría, CUJAE)

  • Carlos Domínguez Acosta

    (Instituto Politécnico José A. Echeverría, CUJAE)

  • Pedro J. Rivera Torres

    (AtlanTIC-ETSET-Universidade de Vigo)

  • Eileen I. Serrano Mercado

    (Polytechnic University of Puerto Rico)

  • Gerson Beauchamp Baez

    (University of Puerto Rico at Mayagüez)

  • Luis Anido Rifón

    (AtlanTIC-ETSET-Universidade de Vigo)

  • Orestes Llanes-Santiago

    (Instituto Politécnico José A. Echeverría, CUJAE)

Abstract

The development of systems capable of diagnosing new and multiple faults in industrial systems is an active research topic. In this paper a model-based diagnostic system capable of diagnosing new and multiple faults using fuzzy logic as a fundamental tool is proposed. Also, the wavelet transform is used for isolating noise present in measurements. The proposed model was applied to the Continuously-Stirred Tank Heater model benchmark. The results demonstrate the feasibility of the proposed model, improving the robustness in the diagnostic, without loss of sensitivity to incipient or small magnitude faults.

Suggested Citation

  • Adrián Rodríguez Ramos & Carlos Domínguez Acosta & Pedro J. Rivera Torres & Eileen I. Serrano Mercado & Gerson Beauchamp Baez & Luis Anido Rifón & Orestes Llanes-Santiago, 2019. "An approach to multiple fault diagnosis using fuzzy logic," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 429-439, January.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1256-4
    DOI: 10.1007/s10845-016-1256-4
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