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国家自然科学基金面上项目：磁场瞬变下常导高速磁浮直线驱动系统故障诊断与自愈控制方法研究，主持，批准号52475121.

国家自然科学基金面上项目：永磁同步电机驱动系统动态特性与自主预控方法研究，主持，批准号51575396.

国家自然科学基金青年项目：基于协同设计的高速列车制动系统维护感知建模与嵌入诊断推理，主持，批准号51205291.

科技部国家重点研发计划课题：复杂环境下轨道车辆全生命周期能力保持与优化研究，参研，批准号2017YFB1201201.

科技部国家重点研发计划课题：列车生态系统内外环境友好核心维度与理论研究，参研，批准号2017YFB1201103.

全国重点实验开放课题重点项目：轨道车辆关键部件智能运维数据建模与健康管理技术研究，主持，批准号13121430001220.

全国重点实验开放课题项目：速度激增下常导高速磁浮电磁场非平稳特性及影响机制，主持，批准号13121430001220.

全国重点实验开放课题项目：列车架控制动系统多模态复合故障诊断方法研究，主持，批准号RCS2023K005.

上海市教委重点项目课题：高速磁浮列车综合传感器FDIR系统验证测试平台研制，主持.

上海市浦江人才计划项目：重载机车制动系统多物理场建模与故障诊断，主持，批准号12PJ1408400.

中央高校基金交叉重点项目：钢轨短波损伤数字孪生建模与智能运维技术研究，主持，批准号2022-5-ZD-04.

中央高校基金，机电制动系统数字孪生体构建及健康可重构控制，主持，批准号22120180309.

学术专著

[1] Gang Niu, 《Data-Fusion Technology for Engineering Systems Health Management》Springer出版社-科学出版社，联合出版发行 2016，ISBN:978-981-10-2031-5 (Print)， 978-981-10-2032-2 (Online). 唯一作者

[2] 牛刚，《轨道交通装备健康管理》，同济大学出版社 2016，ISBN：978-7-5608-6483-9.唯一作者

代表论文

1. Xun Dong, Gang Niu*, HuaweiWang, Hyunseok Oh, Convenient gearbox fault diagnosis under random variablespeeds: A motor current nonlinear harmonic approach,Mechanical Systems and Signal Processing 225 (2015).

2. Xun Dong, Junyao Yuan, LiujingXiong, Gang Niu*, Fault detection of initerturn short circuit ininduction motors under nonstationary conditions and unbalanced supply voltage, IEEETransactions on Instrumentation and Measurement 73(2024).

3.  Liujinig Xiong, Yifan He, YuejianChen, Jinjun Lu, Gang Niu*, Digital twin-based degradation predictionfor train electro-pneumatic valve, Reliability Engineering and System Safety240(2023) 109627.

4. GangNiu*, Xun Dong, Yuejian Chen, Motorfault diagnostics based on current signatures: A review, IEEE Transactionson Instrumentation and Measurement 71(2023).

5. Yuejian Chen, Meng Rao, Ke Feng, GangNiu*,Modified varying index coefficient autoregrsssion model for representation ofthe nonstationary vibration from a planetary gearbox, IEEE Transactions onInstrumentation and Measurement 72(2023).

6. Hongyang Zhao, Gang Niu*, Enhanced order spectrum analysis based on iterativeadaptive crucial mode decomposition for planetarygearbox fault diagnosis under large speed variations,MechanicalSystems and Signal Processing 185(2023).

7. Yuejian Chen, Yizhao Li, Gang Niu, MingjianZuo, Offline and online Measurement of the Geometries of train wheelsets: A review, IEEE Transactions on Instrumentation and Measurement 71(2022).

8. Yuan Jiang, Gang Niu*, An iterative frequency-domain envelope-tracking filter for dispersive signal decomposition in structural health monitoring,Mechanical Systems and SignalProcessing 179 (2022) 183-198.

9. G. Niu*, L. Xiong, X. Qin, M. Pecht, Fault detection isolation and diagnosisof multi- axle speed sensors for high-speed trains, MechanicalSystems and Signal Processing131 (2019) 183-198.

10. G. Niu*, S. Liu, Demagnetization monitoring and life extending control for permanent magnet-driven traction systems, Mechanical Systems and Signal Processing 103(2018) 264-279.

11. G. Niu*, J. Jiang, AutonomousHealth Management for PMSM Rail Vehiclesthrough Demagnetization Monitoring and Prognosis Control, ISA Tractions72 (2018) 245-255.(JCR: Q1)

12. G. Niu*, X. Huang, Failure Prognostics of Locomotive Electro-Pneumatic Brake based on BondGraph Modeling, IEEE Access 5 (2017) 15030-15039.

13. G. Niu*, J. Jiang, Prognostic control-enhanced maintenance optimization for multi- componentsystems, Reliability Engineering and System Safety 168 (2017) 218-226.

14. G. Niu*, Hao Li, IETM centered intelligent maintenance system integrating Fuzzy semanticinference and datafusion, Microelectronics Reliability75 (2017) 197-204.

15. G. Niu*, F. Qian, B. Choi, Bearing life prognosisbased on monotonic feature selection and similarity modeling, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230(18)(2016) 3183-3193.

16. G. Niu*, Y. Zhao, Michael Defoort, Michael Pecht, Fault diagnosis of locomotive electro-pneumatic brake throughuncertain bond graph modelingand robust onlinemonitoring, Mechanical Systemsand Signal Processing 50-51 (2015)676-691.

17. G. Niu*, Y. Zhao, V. Tran, Fault detection and isolation based on bond graph modelingand empirical residual evaluation, Proceedings of the Institution of Mechanical Engineers, PartC: Journal of Mechanical Engineering Science 229(3) (2015) 417-428.

18. G. Niu*, S. Singh, S. Holland, Michael Pecht, Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics, Microelectronics Reliability51 (2011) 279-284.

19. G. Niu*, B. Yang, M. 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. (The TOP 7 Hottest Articles in ReliabilityEngineering and System Safety in2013)

20. G. Niu*, B. Yang, Intelligent condition monitoring and prognostics system based on data fusionstrategy, Expert Systems With Applications37(12) (2010).

21. W. Caesarendra, G. Niu, B. Yang, Machinecondition prognosisbased on sequential MonteCarlo method, ExpertSystems with Applications, 37 (2010) 2412-2420.

22. G. Niu*, B. Yang, Dempster-Shafer regression for multi-step ahead time-series prediction towards data-driven machinery prognosis, Mechanical Systemsand Signal Processing23(3) (2009) 740-751.

23. J. Son, G. Niu, B. Yang, D. Hwang, D. Kang, Development of smart sensors system for machine fault diagnosis, ExpertSystems with Applications 36(9)(2009) 11981-11991.

24. G. Niu, A. Widodo, J. Son, B. Yang, D. Hwang, D. Kang, Decision-level fusion based on wavelet decomposition for induction motor fault diagnosisusing transient current signal, Expert Systemswith Applications 35(3) (2008) 918-928.

25. G. Niu, T. Han, B. Yang, A. Chiow Tan, Multi-agent decision fusion for motorfault diagnosis, Mechanical Systems and Signal Processing 21(3) (2007)1285-1299.

26. G. Niu, J. Son, A. Widodo,B. Yang, D. Hwang, D. Kang, A comparison of classifier performance for fault diagnosisof induction motor using multi-type signals, Structural HealthMonitoring 6(3) (2007) 215-229.

27. G. Niu, S. Lee, B. Yang,S. Lee, Decisionfusion system for fault diagnosisof elevator traction machine, Journalof Mechanical Scienceand Technology 22(1) (2008) 85-95.

28. G. Niu *, D. Lau, M. Pecht, Computermanufacturing management integrating lean six sigma and prognostic health management, International Journal of Performability Engineering 6(4) (2010) 351-360.

29. G. Niu*, X. Cao, X. Qin, Research on fault detection and isolation of dual channelspeed sensor for high-speed train, Chinese Journal of Scientific Instrument, 40(1) (2019) 158- 165.

30. G. Niu*, S. Liu, Auotnomous life extending controlforPMSM rail vehicles under demagnetizing fault,ChineseJournal of Scientific Instrument, 38(9)(2017) 2251-2257.

31. G. Niu*, J. Jiang, Health-oriented control strategyforPMSM rail vehiclesthrough similarity-basedmodeling, Chinese Journalof Scientific Instrument, 2 (2017) 480-486.

32. G. Niu*, H.Li, IETM integrated diagnosis system based on semanticinference and data fusion, Chinese Journal of Scientific Instrument, 37(9)(2016) 1971-1977.

发明专利

[1] 一种基于迭代扩展频散模态分解的频散波提取方法（发明人：牛刚等，授权，ZL202111114136.1）

[2] 一种基于迭代扩展本征模态分解的旋转机械故障诊断方法（发明人：牛刚等，授权，ZL 202110536535.0）

[3] 一种旋转机械转速波动无键相阶次跟踪方法（发明人：牛刚等，授权，ZL 202110263749.5）

[4] 列车速度传感器信号异常检测及轴抱死故障诊断方法（发明人：牛刚等，授权，ZL 201810856916.5）

[5] 一种基于迭代扩展频散模态分解的频散波提取方法（发明人：牛刚等，实审，CN 202111114136.1）

[6] 一种解决悬浮间隙传感器齿槽效应的补偿算法（发明人：牛刚等，公布，CN 202010344909.4）

[7] 一种快速准确的受电弓结构异常动态视频监测方法（发明人：牛刚等，公布，CN 201910934442.6）