YU Gang
Address:
Xili Shenzhen University Town HITCampus B307, Shenzhen, P.R.China (518055)
Email:
gangyu@hit.edu.cn
Phone:
0755-26032696
0755-26033774(Fax)
PERSONAL PROFILE
 
RESEARCH INTEREST
 
Process monitoring, fault diagnostics and prognostics
Mechanical system signal processing
Intelligent maintenance systems
Human target tracking, action recognition and automated navigation for service robots
EDUCATION  
1998-2002
University of Wisconsin-Milwaukee, USA, Industrial and Manufacturing Engineering, Ph.D.
1992-1995
Dalian University of Technology, P.R.China, Mechanical Control and Automation, Master
1988-1992
Dalian University of Technology, P.R.China, Mechanical Engineering, Bachelor
RESEARCH & WORK EXPERIENCE  
2005/05-Present
Harbin Institute of Technology (HIT) Shenzhen Graduate Scholl, Mechanical Engineering and Automation, Associate Professor/Vice Director of Academic Affairs
2004/02-2005/04
Northeastern University, Mechanical, Industrial and Manufacturing Engineering, Postdoctoral researcher
2003/01-2004/01
Center for Intelligent Maintenance Systems, Postdoctoral researcher
1998/09-2002/12
University of Wisconsin-Milwaukee, Industrial and Manufacturing Engineering, Research assistant
1997/09-1998/08
Rockwell Automation Shanghai GTS, Filed service engineer
1995/09-1997/08
Shanghai Institute for Process Automation and Instrumentation, System engineer
PROFESSIONAL QUALIFICATION & ACADEMIC SERVICE
 
2003-Present
Reviewer for a number of well-known international journals.
RESEARCH PROJECTS
2013.01-2014.12
Research on performance degradation mechanism and life prediction methods for electric vehicle battery, Fundamental Research Project of Shenzhen.
2011.10-2013.10
Modeling and diagnosis methods for rotating machinery fault signals based on alpha stable distribution, Natrual Science Foundation of Guangdong Province.
RESEARCH ACHIEVEMENT & AWARDS
2009.05-Present
High-level talent of Shenzhen
PATENT
   
Yu Gang, Sheng Luying, Guo Mimi, A prediction method for the degradation mode of the battery of electric vehicles, Invention patent, Application No. 201210243286.7
PAPER & BOOK PUBLICATIONS
- Gang Yu, Fault feature extraction using independent component analysis with reference and its application on fault diagnosis of rotating machinery, Neural Comput & Applic, 2014, 26:187–198
- Gang Yu, Changning Li, Jianfeng Zhang, A new statistical modeling and detection method for rolling element bearing faults based on alpha-stable distribution, Mechanical Systems and Signal Processing, 2013,41(1-2):155-175
- Gang Yu, Wenqi Li, Machine fault feature extraction based on wavelets and recurrence quantification analysis, 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012, 1: 196-199
- Gang Yu, Zhidong Xiao, Changning Li, Blind source separation of rotating machinery fault signals based on Fractional Lower Order statistics, 2011 Prognostics and System Health Management Conference, 2011, 1-6
- Gang Yu, Xiaohua Liang, Juan Wang, Fault feature separation for fault diagnosis of rotating machinery using ICA with reference, The 9th International Conference on Reliability, Maintainability and Safety (ICRMS’2011), 2011, 1010-1014
- Changning Li, Gang Yu, A new statistical model for rolling element bearing fault signals based on alpha-stable distribution, 2010 Second International Conference on Computer Modeling and Simulation, 2010, 4: 386-390
- Gang Yu, Xuefeng Zhang, Adaptive wavelet filter based on Fractional Lower Order Moment for bearing fault diagnosis, 3rd International Congress on Image and Signal Processing, 2010, 4006-4010
- Gang Yu, Sagar V. Kamarthi, A cluster-based wavelet feature extraction method and its application, Engineering Applications of Artificial Intelligence, 2010, 23: 196-202
- Gang Yu, Yingzi Lin, Sagar Kamarthi, Wavelets-Based Feature Extraction for Texture Classification, Advanced Materials Research, 2010, 97-101: 1273-1276
- Gang Yu, Changning Li, Jun Sun, Machine fault diagnosis based on Gaussian mixture model and its application, The International Journal of Advanced Manufacturing Technology, 2010, 48(1-4): 205-212
- Gang Yu, Changning Li, Sagar Kamarthi, Machine fault diagnosis using a cluster-based wavelet feature extraction and probabilistic neural networks, The International Journal of Advanced Manufacturing Technology, 2009, 42: 145-151
- Gang Yu, Hai Qiu, Dragan Djurdjanovic, Jay Lee, Feature signature prediction of a boring process using neural network modeling with confidence bounds, International Journal of Advanced Manufacturing Technology, 2006, 30(7-8): 614-621
CONFERENCE PAPERS/TALKS
 
- Gang Yu, Wenqi Li, Machine fault feature extraction based on wavelets and recurrence quantification analysis, 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012, 1: 196-199
- Gang Yu, Zhidong Xiao, Changning Li, Blind source separation of rotating machinery fault signals based on Fractional Lower Order statistics, 2011 Prognostics and System Health Management Conference, 2011, 1-6
- Gang Yu, Xiaohua Liang, Juan Wang, Fault feature separation for fault diagnosis of rotating machinery using ICA with reference, The 9th International Conference on Reliability, Maintainability and Safety (ICRMS’2011), 2011, 1010-1014
- Changning Li, Gang Yu, A new statistical model for rolling element bearing fault signals based on alpha-stable distribution, 2010 Second International Conference on Computer Modeling and Simulation, 2010, 4: 386-390
- Gang Yu, Xuefeng Zhang, Adaptive wavelet filter based on Fractional Lower Order Moment for bearing fault diagnosis, 3rd International Congress on Image and Signal Processing, 2010, 4006-4010
TEACHING/SUPERVISING EXPERIENCE
Teaching Experience
Machine Fault Diagnostics and Prognostics
Production and Operations Management
Supervising Experience
Has supervised over 80 full-time and part-time graduate students, of which one Ph.D. and almost 60 master students has graduated successfully.
Updated:2017-11