Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines
New Energy|更新时间: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.”
Power Generation TechnologyVol. 45, Issue 6, Pages: 1146-1152(2024)
作者机构:
1.北京能高普康测控技术有限公司,北京市 丰台区100070
2.北京化工大学信息科学;与技术学院,北京市 朝阳区100029
作者简介:
基金信息:
National Natural Science Foundation of China(62273026);High-Tech Ship Research Project of Ministry of Industry and Information Technology(MC-202025-S02)
LIU Zhan,LIU Jianxun,BAO Yanyang,et al.Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines[J].Power Generation Technology,2024,45(06):1146-1152.
LIU Zhan,LIU Jianxun,BAO Yanyang,et al.Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines[J].Power Generation Technology,2024,45(06):1146-1152. DOI: 10.12096/j.2096-4528.pgt.23175.
Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines