Weidong Jiao | Intelligent Fault Diagnosis | Best Researcher Award

Prof. Dr, Assistant Professor, Zhejiang Normal University China

WEIDONG JIAO,  is a professor specializing in mechanical engineering. He has extensive experience in smart testing, signal processing, mechanical dynamics, and fault diagnosis of mechanical equipment. He has published over 100 research articles and holds around 20 patents. Currently, he is a professor at Zhejiang Normal University and serves as an editor for the Journal of Vibration, Measurement & Diagnosis.

Profile

Scopus

🎓 Education 

He earned his B.E. in Safety Engineering (1992) and M.E. in Mechanical Engineering (2001) from Gansu University of Technology. He completed his Ph.D. in Mechanical Engineering at Zhejiang University in 2004.

🏆 Experience 

He was a professor at Jiaxing University (2004–2009) and has been a professor at Zhejiang Normal University since 2013.

🏅 Awards and Honors 

He has received numerous accolades for his contributions to mechanical engineering, including recognition for his research in fault diagnosis and signal processing.

🔬 Research Focus 

🔍Conclusion

Publication

1. Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

   • Year: 2025
   • Authors: X. Chen, Xiaohao; J. Sun, Jianfeng; M. Li, Miao; Y. Jiang, Yonghua; J. Hu, Junxiong
   • Citations: 0

 

1. Deep learning in industrial machinery: A critical review of bearing fault classification methods

   • Year: 2025
   • Authors: A.U. Rehman, Attiq Ur; W. Jiao, Weidong; Y. Jiang, Yonghua; K. Ur Rehman, Khalil; Y. Chi, Yongwei
   • Citations: 0

 

1. Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

   • Year: 2025
   • Authors: Y. Jiang, Yonghua; Z. Qiu, Zengjie; L. Zheng, Linjie; J. Sun, Jianfeng; Z. Xuan, Zhongyi
   • Citations: 1

 

1. Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

   • Year: 2025
   • Authors: Z. Dong, Zhilin; Y. Jiang, Yonghua; W. Jiao, Weidong; X. Wang, Xin; K. Zhang, Kun
   • Citations: 0

 

1. Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

   • Year: 2025
   • Authors: Y. Jiang, Yonghua; Y. He, Yian; Z. Shi, Zhuoqi; C. Tang, Chao; W. Jiao, Weidong
   • Citations: 0

 

1. Numerical Investigation into the Variation Mechanism of Hunting Frequency in Railway Wheelset System

   • Year: [Not specified]
   • Authors: J. Sun, Jianfeng; X. Wu, Xingwen; W. Jiao, Weidong; S.J. E, Shiju Ju; A. Ur Rehman, Attiq
   • Citations: 0

 

1. A novel wheel wear indicator in regard to wheel-rail contact parameters and vehicle hunting stability

   • Year: 2025
   • Authors: H. Gao, Hongxing; J. Sun, Jianfeng; X. Chen, Xiaohao; W. Xu, Wanxiu; X. Jin, Xuesong
   • Citations: 0

 

1. Novel imbalanced multi-class fault diagnosis method using transfer learning and oversampling strategies-based multi-layer support vector machines (ML-SVMs)

   • Year: 2024
   • Authors: J. Wei, Jian’an; H. Chen, Hualin; Y. Yuan, Yage; L. Wen, Long; W. Jiao, Weidong
   • Citations: 3

 

1. SPRout-DBN: a cross domain bearing fault diagnosis method based on spatial pyramid pooling residual network-DBN

   • Year: 2024
   • Authors: D. Lin, Daxuan; W. Jiao, Weidong; Z. Dong, Zhilin; Y. Jiang, Yonghua; J. Sun, Jianfeng
   • Citations: 0

 

1. MSTKernel Net: a rolling bearing intelligent diagnosis framework based on short-time time-frequency convolution

• Year: 2024
• Authors: H. Pan, Huilin; W. Jiao, Weidong; Z. Dong, Zhilin; J. Sun, Jianfeng; Y. Jiang, Yonghua
• Citations: 1