Multi-component fault classification of a wind turbine gearbox using integrated condition monitoring and hybrid ensemble method approach
Applied Acoustics(2022)
摘要
•Development of a hybrid ensemble classification method that can effectively distinguish the fault under both noisy and noise free setting.•The proposed hybrid ensemble classification method also can combine the advantages of boosting, bagging, and stacking techniques and effectively identify multi-component faults in a gearbox using integrated condition monitoring (ICM).
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关键词
Bagging,Boosting,Stacking,Condition monitoring,Wind turbine gearbox,Ensemble learning
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