Fault detection of a wind turbine generator bearing using interpretable machine learning

Introduction: During its operational lifetime, a wind turbine is subjected to a number of degradation mechanisms. If left unattended, the degradation of components will result in its suboptimal performance and eventual failure. Hence, to mitigate the risk of failures, it is imperative that the wind...

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Bibliographic Details

Published in:	Frontiers in Energy Research
Main Authors:	Oliver Trygve Bindingsbø, Maneesh Singh, Knut Øvsthus, Arvind Keprate
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-12-01
Subjects:	bearing condition monitoring fault detection machine learning offshore wind turbine SCADA
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2023.1284676/full