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Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines
Power Generation Technology   Vol. 45, Issue 6, Pages: 1146-1152(2024)
New Energy|Updated：2025-06-15
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    • Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines

    • “In the field of wind turbine bearing fault diagnosis, a fault diagnosis method based on graph regularization has been proposed, which effectively improves the efficiency of fault feature extraction and classification accuracy.”

    • DOI：10.12096/j.2096-4528.pgt.23175    

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    • Revised：2024-03-02，

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Related Author

FANG Xiansi
LÜ Shunli
HE Yuping
YOU Wanfang
MIN Wanxiong
LIU Jiajia
LI Junsong
MA Chengwei

Related Institution

Nanjing Nanrui Water Conservancy and Hydropower Technology Co., Ltd.
Goupitan Power Plant, Guizhou Wujiang Hydropower Development Co., Ltd.
School of Metallurgical and Energy Engineering, Kunming University of Science and Technology
College of Engineering Science and Technology, Shanghai Ocean University, Pudong New District
School of Energy and Power Engineering, Changsha University of Science and Technology