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

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

In order to improve the accuracy of fault diagnosis on wind turbines, this paper presents a method of wind turbine fault diagnosis based on ReliefF algorithm and eXtreme Gradient Boosting (XGBoost) algorithm by using the data in supervisory control and data acquisition (SCADA) system. The algorithm...

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Bibliographic Details
Main Authors:	Zidong Wu, Xiaoli Wang, Baochen Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Applied Sciences
Subjects:	wind turbines fault diagnosis data mining ReliefF eXtreme Gradient Boosting (XGBoost) Supervisory Control And Data Acquisition (SCADA)
Online Access:	https://www.mdpi.com/2076-3417/10/9/3258

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