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Erschienen in:

26.08.2016

An approach to multiple fault diagnosis using fuzzy logic

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

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 1/2019

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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.

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Titel: An approach to multiple fault diagnosis using fuzzy logic
verfasst von: Adrián Rodríguez Ramos
Carlos Domínguez Acosta
Pedro J. Rivera Torres
Eileen I. Serrano Mercado
Gerson Beauchamp Baez
Luis Anido Rifón
Orestes Llanes-Santiago
Publikationsdatum: 26.08.2016
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 1/2019
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-016-1256-4

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