Machine Learning on Fault Diagnosis in Wind Turbines

Machine Learning on Fault Diagnosis in Wind Turbines

With the improvement in wind turbine (WT) operation and maintenance (O&M) technologies and the rise of O&M cost, fault diagnostics in WTs based on a supervisory control and data acquisition (SCADA) system has become among the cheapest and easiest methods to detect faults in WTs.Hence, it is...

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Bibliographic Details
Main Authors: Eddie Yin-Kwee Ng, Jian Tiong Lim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Fluids
Subjects:
wind turbine
fault diagnostics
SCADA
k-nearest neighbors (kNN)
extreme gradient boosting (XGBoost)
artificial neural network (ANN)
Online Access:https://www.mdpi.com/2311-5521/7/12/371

Internet

https://www.mdpi.com/2311-5521/7/12/371

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