JS UJS | CHINESE
Home Research Contact
Faculty  
Home > 首页 > Faculty > Professors > Content
 
Faculty
Professors >
Associate Professors >
 
 
 
Professors
Wei Fan
Date:2020-12-12   View:

  Name: Wei Fan
  Ph. D, Professor, Master supervisor
  Address: Room 203, Instrument and Science
  Phone:  (86) 511-88797228
  Fax: /
  E-mail: weifan@ujs.edu.cn
Education
2008-2012 B.S, School of Rail Transportation, Soochow University, China
2012-2015 Master, School of Rail Transportation, Soochow University, China
2015-2018 Ph.D. Department of System Engineering and Engineering Management, City University of Hongkong
Professional Experience
2019-2020, Associate Professor, School of Mechanical Engineering, Jiangsu University, China
2020-Present, Professor, School of Mechanical Engineering, Jiangsu University, China
Research Interests
Machinery fault diagnosis, health monitoring of equipment, signal processing, statistical modeling and analysis, quality control, etc.
Teaching Courses
1. Sensors and Detection Techniques (Oversea undergraduate course) original names “Detection Techniques of Mechanical Engineering”
2. Intelligent Sensor and Detection Techniques (Undergraduate course)
3. Intelligent Signal Processing (Undergraduate course)
4. Practice for Intelligent Information Processing (Undergraduate course)
5. Quality and Reliability Engineering (Postgraduate course, master)
6. Remote Condition Monitoring and Fault Diagnosis Platform in Machinery Systems (Postgraduate course, master)
7. Data Mining and Statistical Modeling (Postgraduate course, PhD)
8. Condition Monitoring and Fault Detection(Postgraduate course, PhD)
Main Research Projects
1. Strong robust and highly sensitive statistical method for weak fault feature extraction of in-wheel motor bearings, NSFC, 2020.01-2022.12
2. Joint research and development of intelligent operation and maintenance platform for electric vehicle charging pile based on Data Mining, Zhenjiang Government, 2020.06-2022.06
Main Scientific Publications
1. Wei Fan, Yongxiang Li*, Long Chen, Zhenying Xu, Bearing fault detection via B-spline constructed sparse method, IEEE Transactions on Instrumentation and Measurement. DOI: 10.1109/TIM.2021.3050794  (2021)
2. Yongxiang Li, Ruixian Zhao, Wei Fan*, Changqing Shen, Extended Noise Resistant Correlation Method for Period Estimation of Pseudo-periodic Signals, IEEE Transactions on Instrumentation and Measurement. DOI: 10.1109/TIM.2021.3052027.  (2021, Highly cited award)
3. Wei Fan, Yongxiang Li, K.L. Tsui, et al. A Noise Resistant Correlation Method for Period Detection of Noisy Signals, IEEE Transactions on Signal Processing, 2018, 66 (10): 2700-2710. (Top, 2018)
4. Wei Fan, Qiang Zhou, Jian Li, et al. A Wavelet-based Statistical Approach for Monitoring and Diagnosis of Compound Faults with Application to Rolling Bearing, IEEE transactions on Automation Science and Engineering, 2018, 15 (4): 1563-1572. (2018)
5. Wei Fan, Gaigai Cai, Z.K. Zhu, et al. Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction, Mechanical systems and signal processing, 2015, 56-57: 230-245. (Top, 2015)
Plan for Overseas Master & Ph. D
One Master or one Ph.D
 
Copyright © 2021 sme.ujs.edu.cn. All Rights Reserved
Address:Address: 301 Xuefu Road, Zhenjiang City, Jiangsu Province, P.R. China  Zip:212013