An approach to multiple fault diagnosis using fuzzy logic

Adrián Rodríguez Ramos (), Carlos Domínguez Acosta, Pedro J. Rivera Torres (), Eileen I. Serrano Mercado, Gerson Beauchamp Baez, Luis Anido Rifón and Orestes Llanes-Santiago ()
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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

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 1, No 30, 429-439

Abstract: 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.

Keywords: Fault diagnosis; Multiple faults; Fuzzy logic; Robustness; Sensitivity; Wavelet transform (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10845-016-1256-4

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