Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data

Author:

Tan Jinbiao1ORCID,Wan Jiafu1ORCID,Chen Baotong2ORCID,Safran Mejdl3ORCID,AlQahtani Salman A.4ORCID,Zhang Rui5ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Precision Equipment and Manufacturing Technology, South China University of Technology, Guangzhou, China

2. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China

3. Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

5. Shanxi Information Industry Technology Research Institute Company Ltd., Taiyuan, China

Funder

Distinguished Scientist Fellowship Program

King Saud University, Riyadh, Saudi Arabia

Open Project Program of Fujian Key Laboratory of Special Intelligent Equipment Measurement and Control, Fujian Special Equipment Inspection and Research Institute, China

Special Project on Cooperation and Exchange of Shanxi Province Science and Technology, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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