Diagnosis of faults in a wind turbine using Analytical Redundancy Relations and an Artificial Neural Network

Resumen: This work proposes a method to diagnose faults in a wind turbine. The proposed approach combines the use of Analytical Redundancy Relationships (ARR) and an Artificial Neural Network (ANN). The ARR is used to generate a matrix of fault signatures through structural analysis, while the ANN is used to classify the detected faults. The results of the diagnostic system are presented using the measurements obtained from the model of a 4.8 [MW] wind turbine.

¿Cómo citar?

Esvan de Perez,Francisco Ronay López-Estrada & Vicenç Puig. Diagnosis of faults in a wind turbine using Analytical Redundancy Relations and an Artificial Neural Network. Memorias del Congreso Nacional de Control Automático, pp. 1-6, 2020.

Palabras clave

Fault Diagnosis, Analytical Redundancy Relationships, Wind Turbines, Artificial Neural Networks, Data-based methods

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