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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Abbreviations
- CSTH:
-
Continuously-Stirred Tank Heater model
- CW:
-
Cold water
- DWT:
-
Discrete wavelet transform
- FDI:
-
Fault detection and isolation
- HW:
-
Hot water
- LTI:
-
Linear time-invariant systems
- MRA:
-
Multi-resolution analysis
- PI:
-
Proportional-integral
- SCADA:
-
Supervisory control and data adquisition
- SLAT:
-
Single location at a time
- WT:
-
Wavelet transform
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Rodríguez Ramos, A., Domínguez Acosta, C., Rivera Torres, P.J. et al. An approach to multiple fault diagnosis using fuzzy logic. J Intell Manuf 30, 429–439 (2019). https://doi.org/10.1007/s10845-016-1256-4
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DOI: https://doi.org/10.1007/s10845-016-1256-4