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Fuzzy and Neural Network Approaches to Wind Turbine Fault Diagnosis
2021
Applied Sciences
The fault diagnosis of safety critical systems such as wind turbine installations includes extremely challenging aspects that motivate the research issues considered in this paper. Therefore, this work investigates two fault diagnosis solutions that exploit the direct estimation of the faults by means of data-driven approaches. In this way, the diagnostic residuals are represented by the reconstructed faults affecting the monitored process. The proposed methodologies are based on fuzzy systems
doi:10.3390/app11115035
fatcat:iwpcpjxetfh5njpyqoku7epufu