标题：牛刚
同济大学硕士生导师
牛刚（1978－），男，山西太原人，博士，副研究员。1999年毕业于北京航空航天大学飞行器设计与应用力学系，2009年2月毕业于韩国釜庆国立大学机械工程学院，获机械电子工学博士学位，师从韩国机械工程学会副主席及振动与噪声学会主席Bo-suk Yang教授。同年进入香港城市大学“故障预测与系统健康管理中心”从事博士后科研工作，合作导师为美国马里兰大学CALCE中心主任、IEEE/ASME Fellow, Michael G. Pecht教授。2010年8月进入中国航空综合技术研究所协助开展“某型战机预测与健康管理（PHM）总体架构”国防973重点课题和总装电子信息部“十二五”预研项目方案规划及相关标准规范编制等工作。2011年4月加入同济大学，现主要从事飞机、轨道交通装备的系统状态监测、信号处理、综合诊断、智能维护、多源信息融合、测试性设计与综合系统健康管理方面的研究工作。过去5年累计发表论文27篇，其中SCI核心收录9篇（包括第一作者7篇，第二作者2篇），EI核心收录13篇（包括第一作者10篇，第二作者2篇，第三作者1篇），作为合作者参与编写英文论著一部。并曾担任多个国际学术会议执行委员、分会主席、特邀主讲等。
Dr. Gang Niu is an associate professor at Tongji University in China. He graduated from Beihang University, and received his Ph.D. in mechatronics engineering and his M.S. in intelligent mechanical engineering at Pukyong National University in South Korea. His major research interests are in the fields of information fusion for PHM/CBM and intelligent algorithms, etc. He has written over 27 papers mainly found in international journals like Mechanical Systems and Signal Processing, Expert Systems with Applications, Structural Health Monitoring, Microelectronics Reliability, Mechanical Science and Technology, and various IEEE conferences, etc. Before joined Tongji University, he formerly worked as a research fellow scientist at the Centre for Prognostics and System Health Management at the City University of Hong Kong, and China Aero-polytechnology Establishment (CAPE). He is now addressing on the researches of PHM/CBM application for Aerospace and High-speed Railway.
学术任职/Academic Actions
● 机械与制造科学处国家自然科学基金委员会项目评审专家
● 香港城市大学PHM研究中心名誉技术顾问
● 国际期刊审稿人, 主要承担期刊包括:
《Mechanical System and Signal Processing》，《Expert System with Applications》，《Journal of Sound and Vibration》，《Nondestructive Testing & Evaluation International》，《Neurocomputing》，《Journal of Mechanical Science and Technology》.
科研经历/Projects Experience
（1）“集成先进技术的旋转机械故障诊断通用平台的设计与开发”，2005年度中韩合作项目NSFC/KOSEF，韩方主要完成人，2005.04-2007.05;
（2）“感应电机故障诊断中的多类信号分析与性能比较”，合作方：韩国电力科学研究院（KERI），项目负责人，2006.03-2007.10；
（3）“基于无线智能传感器的复杂关键设备在线监测、故障诊断与性能退化预测集成系统开发”，合作方：韩国科学与工程基金会（KOSEF）、韩国标准化科学院、CMR株式会社、KENT株式会社，主要完成人，2007.01-2010.01；
（4）“AE声发射技术和LS-SVR算法在核电站管道裂纹生成预测方面的研究”，合作方：Rectuson核能株式会社，前期项目负责人，2008.06-2009.06；
（5）“钢板冷轧机在线监测与先进信号处理系统开发”，合作方：韩国浦项制铁集团（POSCO）STS研发中心，前期项目负责人，2008.06-2009.06；
（6）“基于马氏距离和韦伯决策标尺的电子系统健康监测技术”，合作方：美国马里兰大学CALCE中心、美国通用汽车（GM）研发中心，项目负责人，2009.08-2009.12。
（7）“预测与健康管理（PHM）技术研究与应用工作方案”，总装十二五预研项目，项目编号：HK30120101ZL06,项目负责人，2010.01-2010.12。 
（8）“城市轨道交通综合试验和测试平台”，科技部支撑项目，“可靠性安全与健康管理”子平台建设，负责人，2009.8-2012.8。
此外，过去一年参与申请立项的科研项目还包括：
（9）“航空电子系统的故障预测与健康管理技术合作研究”，科技部国际交流与合作重大专项，项目编号：2011-K2002, 2010.01-2012.12。
（10）“基于装备综合诊断和故障预测的测试性技术研究”，国防科工局质量与可靠性技术基础计划项目（科工技[2010]1425号），2011.01-2014.12。
（11）“先进战机PHM系统构型与设计优化”，国防973项目“先进战机故障预测与健康管理基础问题研究”子课题， 2011.01-2014.12。
论文被收录和引用情况/Publications and Citation Rates
国际期刊/Journal Papers
1. Gang Niu, Satnam Singh, Steven W. Holland, Michael Pecht, Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics,  Microelectronics Reliability 51 (2011) 279-284.(SCI, IF=1.117, cited by 1) 
2. Gang Niu, Bo-Suk Yang, Intelligent condition monitoring and prognostics system based on data fusion strategy Expert Systems With Applications 37(12) (2010). (SCI, IF=2.908, cited by 4)
3. Gang Niu, Bo-Suk Yang, Michael Pecht, Development of an optimized Condition-Based Maintenance system by data fusion and Reliability-Centered Maintenance, Reliability Engineering and System Safety 95(7) (2010) 786-796.(SCI, IF=1.908, cited by 4)
4. Gang Niu, Bo-Suk Yang, Dempster-Shafer regression for multi-step ahead time-series prediction towards data-driven machinery prognosis, Mechanical Systems and Signal Processing 23(3) (2009) 740-751.(SCI, IF=1.984, cited by 13)
5. Gang Niu, Achmad Widodo, Jong-Duk Son, Bo-Suk Yang, Don-Ha Hwang, Dong-Sik Kang, Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal, Expert Systems with Applications 35(3) (2008) 918-928.(SCI, IF=2.908, cited by 8)
6. Gang Niu, Tian Han, Bo-Suk Yang, Andy Chit Chiow Tan, Multi-agent decision fusion for motor fault diagnosis, Mechanical Systems and Signal Processing 21(3) (2007) 1285-1299. (SCI, IF=2.075, cited by 25)
7. Gang Niu, Jong-Duk Son, Achmad Widodo, Bo-Suk Yang, Don-Ha Hwang, Dong-Sik Kang, A comparison of classifier performance for fault diagnosis of induction motor using multi-type signals, Structural Health Monitoring 6(3) (2007) 215-229. (ISI/JCR, IF=2.115, cited by 9)
8. Gang Niu, Sun-Soon Lee, Bo-Suk Yang, Soo-Jong Lee, Decision fusion system for fault diagnosis of elevator traction machine, Journal of Mechanical Science and Technology 22(1) (2008) 85-95.(SCIE, cited by 4)
9. Gang Niu, Daniel Lau, Michael Pecht, Prognostics and health management for next generation LED lighting systems, International Journal of Condition Monitoring and Diagnostic Engineering Management, (Accepted) (EI)
10.Gang Niu, Daniel Lau, Michael Pecht, Computer manufacturing management integrating lean six sigma and prognostic health management, International Journal of Performability Engineering 6(4) (2010) 351-360. (EI)
11. W. Caesarendra, Gang Niu, Bo-Suk Yang, Machine condition prognosis based on sequential Monte Carlo method, Expert Systems with Applications, 37 (2010) 2412-2420. (SCI, IF=2.908, ctied by 3)
12. Jong-Duk Son, Gang Niu, Bo-Suk Yang, Don Ha Hwang, Dong Sik Kang, Development of smart sensors system for machine fault diagnosis, Expert Systems with Applications 36(9) (2009) 11981-11991.(SCI, IF=2.908, cited by 7) 
国际会议/Conference Papers
1. Gang Niu, Remain useful life prediction for compressor using MQE index and Particle Filter model, IEEE Prognostics & System Health Management Conference (PHM-2011 Shenzhen), May 23-25, 2011.
2. Gang Niu, Satnam Singh, Steven W. Holland, Michael Pecht, Anomaly detection of notebook computer based on Weibull decision metrics, IEEE Prognostics & System Health Management Conference (PHM-2010 Macau), January 12-14, 2010.
3. Gang Niu, Davinder Anand, Michael Pecht, Prognostics and health management for energetic material systems, IEEE Prognostics & System Health Management Conference (PHM-2010 Macau), January 12-14, 2010.
4. Shunong Zhang, Rui Kang, Gang Niu, Michael Pecht, Status of Research and Implementing on PHM in China, IEEE Prognostics & System Health Management Conference (PHM-2010 Macau), January 12-14, 2010.
5. Gang Niu, D. Lau, M. Pecht, Improving computer manufacturing management through lean six sigma and PHM, IEEE Prognostics & System Health Management Conference (PHM-2010 Macau), January 12-14, 2010.
6. Gang Niu, Daniel Lau, Michael Pecht, Lifetime assessment on LED lighting based on prognostics, IEEE Electrical Design of Advanced Packaging & Systems Symposium, Hong Kong, December 2-4, 2009.
7. Gang Niu, Ming Lu, Daniel Lau, Michael Pecht, Prognostics-based qualification for LED lighting systems, the 4th International Microsystems, Packaging ,Assembly and Circuits Technology Conference (IMPACT 2009), Taipei, October 21-23, 2009.
8. Gang Niu, M. Pecht, A framework for cost-effective and accurate maintenance combining CBM RCM and Data Fusion, The 8th International Conference on Reliability, Maintainability and Safety (ICRMS’2009), Chengdu, China, July 20-24, 2009.
9. Gang Niu, Bo-Suk Yang, Integrated Data Fusion System for Machinery Condition Monitoring and Prognosis, the Third World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring (WCEAM), Beijing, China, Oct. 2008.
10. Gang Niu, Bo-Suk Yang, Accurate Condition Monitoring using Data Fusion and Automatic Alarm Setting Technique, 15 International Congress on Sound and Vibration (ICSV15), Daejeon, South Korea, Aug. 2008.
11. Gang Niu, Bo-Suk YANG, Development of Accurate Condition Monitoring Technique, in Proceedings of International Symposium on Advanced Mechanical and Power Engineering (ISAMPE), Busan, South Korea, Dec. 2008.
12. Gang Niu, Achxmad Widodo, Jong-Duk Son, Bo-Suk Yang, Don-Ha Hwang, Dong-Sik Kang, Fusion of Multi-level Wavelet Decomposition for Induction Motor Fault Diagnosis using Transient Current Signal, the Second World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring(WCEAM-CM), pp. 1535-1544, Harrogate, UK, 2007.
13. Gang Niu, Bo-Suk Yang, Dempster-Shafer Regression for Time-series Monitoring and Prediction, the Korean Society of Mechanical Engineers (KSME), South Korea, 2007.
14. Gang Niu, Jong-Duk Son, Bo-Suk Yang, Performance Evaluation of Multi-sensors Signals and Classifiers for Faults Diagnosis of Induction Motor, the Korean Society for Noise and Vibration Engineering (KSNVE), South Korea, 2006.
15. Gang Niu, Tian Han, Bo-Suk Yang, Soo-Jong Lee, Fault Diagnosis of Rotating Machinery Based on Multi-agent Decision Fusion, in Proceedings of the 11 Asia-Pacific Vibration Conference (APVC), Langkawi, Malaysia, 2005.
合作书籍/Collaboration Books
1. Bo-Suk Yang, “Intelligent Machine Fault Diagnosis and Prognosis”, Nova Science Publishers, 2011. (编写第六章，Chapter 6 - Decision Fusion Algorithms) 
2. 迈克.派克、康瑞，《故障诊断、预测与系统健康管理》2010, ISBN: 978-0-615-34095-1，中国电子学会电子制造与封装技术分会出版（审阅）。