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Li Weihua

ProfessorSupervisor of Master and Doctoral Candidates,

Tel:

Email: whlee@scut.edu.cn

Department: School of Mechanical and Automotive Engineering

Office Location: 381 Wushan Road, Tianhe District, Guangzhou

Research Interests: Industrial AI,Bigdata, Intelligent Maintenance and Operation, Autonomous Driving, Embodied AI,

Biography

Weihua Li, Senior Member, IEEE, received the Ph.D. degree in mechanical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2003. He is currently a Dean and Professor with the School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China.

Prof. Li is now serving as the co-chair of Technical Committee (TC-3) on Condition Monitoring & Fault Diagnosis Instrument, IEEE Instrumentation and Measurement Society (IEEE IM Society). He is the Director of the Industrial Intelligence Technology Innovation Center, Guangdong Artificial Intelligence and Digital Economic Lab (called Pazhou Lab, Guangzhou), and the Director of the Joint Laboratory of Intelligent Manufacturing between the SCUT and CIMC. He also serves as Associate Editor of IEEE Trans. on Instrumentation & Measurement (TIM)IEEE Sensors JournalJournal of Dynamics, Monitoring and Diagnostics (JDMD)IET Collaborative Intelligent ManufacturingChinese Journal of Mechanical Engineering (CJME) and Journal of Vibration Engineering (JVE).

His research interests include Industrialintelligence, Industrial Big Data, Dynamic Signal Processing, Intelligent Maintenance & Health Management, and Environment Perception & Path Planning for Intelligent Connected Vehicles. He is the PI (principal investigator) of nearly 40 projects which are funded by National Natural Science Foundation of China, National Key Research and Development Program of China, Key Research and Development Program of Guangdong Province, University-Industry Cooperation, etc. Prof. Li has published over 150 papers in related journals, including IEEE Trans. on Industrial InformaticsInstrumentation & MeasurementIntelligent Transportation System, Sensor Journal, IEEE/ASME Mechatronics, Renewable Energy, Mechanical System & Signal Processing, Reliability Engineering and System Safety, Advanced Engineering Informatics, Advanced Function Material, Journal of Intelligent Manufacturing, Journal of Mechanical Engineering, etc. In addition, he has published 5 books (chapters) and issued more than 40 Chinese invention patents.


Education

  • 1998.09-2003.08  Ph.D.  Mechanical engineering, Huazhong University of Science and Technology, Wuhan, China

  • 1995.09-1998.06  M.E.  Mechanical engineering, Taiyuan University of Technology, Taiyuan, China

  • 1991.09-1995.06  B.S.  Mechanical engineering, Taiyuan University of Technology, Taiyuan, China


Admission Information

WorkExperience

Social Position

Research Areas

  • Industrial Artificial Intelligence, Industrial Big Data, Sensor Data Fusion

  • Dynamic Signal Processing,Prognostics and Health Management

  • Environment Perception & Path Planning for Intelligent Connected Vehicles

  • Embodied Intelligence


Courses Taught

Research Project

Selected Publications

  • Li, Weihua;Chen, Zhuyun;He, Guolin*,A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery,IEEE Transactions on Industrial Informatics,2021
  • Chen, Jiaxian;Huang, Ruyi*;Chen, Zhuyun;Mao, Wentao;Li, Weihua*,Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective,Mechanical Systems and Signal Processing,2023
  • Deng, Shuhan;Chen, Zhuyun;Lan, Hao;Yue, Ke;Huang, Zhicong;Li, Weihua,Remaining useful life prediction with spatio-temporal graph transform and weakly supervised adversarial network: An application in power components,Energy,2024
  • Zheng, Yuan;Li, Weihua;He, Guolin;Ding, Kang;Chen, Zhuyun,Natural Modal Sketching Network: An Interpretable Approach for Bearing Impulsive Feature Extraction,IEEE Transactions on Cybernetics,2025
  • Yue, Ke;Li, Jipu;Deng, Shuhan;Keong, Kwoh Chee;Chen, Zhuyun;Li, Weihua,A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples,Reliability Engineering & System Safety,2024
  • Li, Weihua*;Huang, Ruyi*;Li, Jipu;Liao, Yixiao;Chen, Zhuyun;He, Guolin;Yan, Ruqiang;Gryllias, Konstantinos,A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges,Mechanical Systems and Signal Processing,2022

Achievements

Patent

Honor

Software achievement