Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM

Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM

Aiming at the problem of class imbalance in the wind turbine blade bolts operation-monitoring dataset, a fault detection method for wind turbine blade bolts based on Gaussian Mixture Model–Synthetic Minority Oversampling Technique–Gaussian Mixture Model (GSG) combined with Cost-Sensitive LightGBM (C...

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Bibliographic Details
Main Authors: Mingzhu Tang, Caihua Meng, Huawei Wu, Hongqiu Zhu, Jiabiao Yi, Jun Tang, Yifan Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
wind turbine
SMOTE
class imbalance
Gaussian mixture model
cost-sensitive
LightGBM
Online Access:https://www.mdpi.com/1424-8220/22/18/6763

Internet

https://www.mdpi.com/1424-8220/22/18/6763

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