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Inicio  /  Applied Sciences  /  Vol: 10 Par: 9 (2020)  /  Artículo
ARTÍCULO
TITULO

Fault Diagnosis for Wind Turbines Based on ReliefF and eXtreme Gradient Boosting

Zidong Wu    
Xiaoli Wang and Baochen Jiang    

Resumen

The algorithm described in this paper can be applied to the real-time fault diagnosis of wind turbine. By using this algorithm, the fault type of wind turbine can be determined according to the real-time monitoring parameters of SCADA system.

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