教师名录
于刚
通讯地址:深圳西丽深圳大学城哈工大校区
电子邮件:gangyu@hitsz.edu.cn
联系电话:86-755-26032696

研究方向

过程监测,故障诊断及预测
机械系统信号处理
智能维护系统
制造过程的智能控制及自动化

教育经历

1998.08-2002.08   博士学位 工业及制造工程专业 美国威斯康星大学密尔沃基分校(University of Wisconsin-Milwaukee)
1992.08-1995.07   硕士学位 机电控制及自动化专业, 大连理工大学
1988.08 -1992.07  学士学位 机械工程专业, 大连理工大学

研究与工作经历

2005.05-至今  哈尔滨工业大学深圳研究生院 副教授/教务处副处长
2004.02-2005.04  美国东北大学机械及工业工程系 博士后研究员
2003.01-2004.01  美国智能维护系统研究中心 博士后研究员
1998.09-2002.12  美国威斯康星大学密尔沃基分校工业及制造工程系 研究助理
1997.09-1998.08  美国罗克韦尔自动化上海全球技术支持部 现场服务工程师
1995.08-1997.08  上海自动化仪表研究所系统工程部 系统工程师

专业资质与学术兼职

2005.06-至今  深圳市科技计划项目和政府采购评审专家
2003.01-至今  多个著名国际学术杂志审稿人

科研项目

2013.01-2014.12  电动汽车动力电池性能衰退机理及寿命预测方法研究,深圳市基础研究计划项目。
2011.10-2013.10  基于alpha稳定分布的旋转机械故障信号建模及诊断方法研究,广东省自然基金项目。

科研成果及奖励

2009.05-至今  深圳市后备级高层次人才

发明专利

于刚,盛鲁英,郭密密,电动汽车动力电池衰退模式预测方法,发明专利,申请号:201210243286.7

论文及著作

- 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

会议论文及发表演说

- 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

任教和任导师经历

讲授课程  设备故障诊断及预测
生产与运作管理
指导学生  共指导一名博士和70余名全日制和非全日制硕士研究生,其中1名博士和近50名硕士研究生已毕业。
最后更新:2017-11-01 10:33:17