Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis

Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis

Wind turbines (WTs) generally comprise several complex and interconnected systems, such as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control system,integration control system, and auxiliary system. Moreover, fault diagnosis plays an important role in ensuring WT...

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Bibliographic Details
Main Authors: Mingzhu Tang, Qi Zhao, Huawei Wu, Ziming Wang, Caihua Meng, Yifan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Energy Research
Subjects:
wind turbines
fault diagnosis
supervised learning
unsupervised learning
semi-supervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.751066/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.751066/full

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