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董广明    
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上海交大机械与动力工程学院A楼828室
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教育背景
时间
毕业院校
学历
2002-2007
上海交通大学机械设计及理论专业
博士
1999-2002
西安交通大学动力机械及工程专业
硕士
1995-1999
西安交通大学热力发动机专业
学士
工作经历
2005-2006  澳大利亚悉尼科技大学机械电子工程系 访问学者
2007-2009  上海交通大学机械与动力工程学院     博士后
2010-2015  上海交通大学机械与动力工程学院     讲师
2016-今    上海交通大学机械与动力工程学院     副研究员
出访及挂职经历
研究方向
机械系统动力学与故障诊断;
机械系统动态信号处理与故障诊断
科研项目
2007-2009  中国博士后基金项目“基于手工建模的轻型乘用车辆防翻覆性能及其控制研究”,负责人
2009-2011   国家自然科学基金面上项目“基于隐马尔科夫模型的机械设备性能退化评估与预测研究”,参加
2011-2014   国家自然科学基金重点项目“关键设备故障预示与运行安全保障的新理论和新技术”,参加 
2012-2014   国家自然科学基金青年基金“基于循环平稳信号二维信息的风电齿轮箱早期故障特征提取与智能预示技术研究”,负责人
2016-2019   国家自然科学基金面上项目“基于信号稀疏表征理论的旋转机械微弱故障特征提取方法研究”,负责人
代表性论文专著
[1] G.M. Dong, J. Chen, F.G. Zhao. A frequency-shifted bispectrum for rolling element bearing diagnosis, Journal of Sound and Vibration, 2015, 339: 396-418
[2] G.M. Dong,J. Chen, N. Zhang. Investigation into on-road vehicle parameter identification based on subspace methods. Journal of Sound and Vibration, 2014, V333(24): 6760–6779.
[3] G.M. Dong, J. Chen. Noise resistant time frequency analysis and application in fault diagnosis of rolling element bearings, Mechanical Systems and Signal Processing, 2012, 33: 212–236
[4] G.M. Dong. and J. Chen. Study on cyclic energy indicator for degradation assessment of rolling element bearings, Journal of Vibration and Control, 2011, 17(12): 1805-1816
[5] G.M. Dong, N. Zhang, and H.P. Du. Investigation into Untripped Rollover of Light Vehicles in the Modified Fishhook and the Sine Maneuvers, Part II: Effects of Vehicle Inertia Property, Suspension and Tyre. Vehicle System Dynamics, 2011, 49(6), 949-968
[6] G.M. Dong and J. Chen. Vibration analysis and crack identification of a rotor with open cracks, Japan Journal of Industrial and Applied Mathematics, 2011, 28(1), 171-182
[7] G.M. Dong and J. Chen. Crack Identification in a Rotor with an Open Crack, Journal of Mechanical Science and Technology, 2009, 23(11): 2964-2972
[8] N. Zhang, G.M. Dong and H.P. Du. Investigation into Untripped Rollover of Light Vehicles in The Modified Fishhook and The Sine Maneuvers, Part I: Vehicle Modeling, Roll And Yaw Instability. Vehicle System Dynamics, 2008. 46(4): 271-293.
[9] H.F. Tang, J. Chen, G.M. Dong. Sparse representation based latent components analysis for machinery weak fault detection. Mechanical Systems and Signal Processing, 2014, V46(2): 373-388.
[10] H.C.Wang, J. Chen, G.M. Dong.Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform. Mechanical Systems and Signal Processing, 2014, V48(1-2): 103-119.
[11] F.Y. Cong., J. Chen, and G.M. Dong. Experimental validation of Impact Energy Model for the rub-impact assessment in a rotor system. Mechanical Systems and Signal Processing, 2011, 25(7): 2549-2558
[12] Z.Y. Wang, J.Chen, G.M. Dong, Y. Zhou. Constrained independent component analysis and its application to machine fault diagnosis, Mechanical Systems and Signal Processing, 2011, 25(7): 2501-2512
[13] Y. Ming, J. Chen, G.M. Dong. Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum, Mechanical Systems and Signal Processing, 2011, 25 (5): 1773-1785
[14] Y. Zhou, J. Chen, G.M. Dong. Application of the horizontal slice of cyclic bispectrum in rolling element bearings diagnosis, Mechanical Systems and Signal Processing, 2012, 26: 229–243
[15] F.Y. Cong., J. Chen, and G.M. Dong. Research on the order selection of the autoregressive modelling for rolling bearing diagnosis. Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 2010, 224(C10): 2289-2297.
[16] Zhao, F.G., J. Chen, G.M. Dong. and Guo, L. SOA-based remote condition monitoring and fault diagnosis system. International Journal of Advanced Manufacturing Technology, 2010, 46(9-12): 1191-1200.
[17] H.P. Du, N. Zhang, and G.M. Dong, Stabilising vehicle lateral dynamics with considerations of parameter uncertainties and control saturation through robust yaw control, IEEE Transaction on Vehicle Technology, 59 (2010), pp. 2593-2597.
[18] Pan, Y. N., Chen, J., Dong, G. M. A hybrid model for bearing performance degradation assessment based on support vector data description and fuzzy c-means Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2009, 223(11): 2687-2695.
[19] Y. Zhou, J. Chen, G.M. Dong. Wigner-Ville distribution based on cyclic spectral density and the application in rolling element bearings diagnosis, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 2011, 225(C12): 2831-2847
[20] H.F. Tang, J. Chen, G.M. Dong. Signal complexity analysis for fault diagnosis of rolling element bearings based on matching pursuit, Journal of vibration and control, 2012, 18(5): 671-683
[21] G.M. Dong and J. Chen. Study on Support Vector Machine based Decision Tree and Application. Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 5, art. no. 4666544, pp. 318-322
[22] G.M. Dong, J. Chen. Investigation into various techniques of cyclic spectral analysis for rolling element bearing diagnosis under influence of gear vibrations, Journal of Physics: Conference Series, v364, n1, 2012, 25th International Congress on Condition Monitoring and Diagnostic Engineering, COMADEM 2012
[23] 董广明, 陈进, 基于循环频率能量的滚动轴承损伤程度识别, 振动工程学报,2010,23(3),249-254
[24] 赵发刚, 陈进, 董广明. 匹配追踪在齿轮故障诊断中的应用. 上海交通大学学报, 2009, 43(6), 910-913
[25] 明阳,陈进,董广明,基于循环维纳滤波器和包络谱的轴承故障诊断,振动工程学报,2010,23(5),537-540.
[26] 唐海峰,陈进,董广明,基于匹配追踪的复杂度分析方法在轴承故障诊断中的应用研究,振动工程学报,2010,23(5),541-545
[27] L. Guo, G.M. Dong and J. Chen, Y.N. Pan. Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component. Lecture notes in computer science, 2008. 5263: 674-681
[28] Cong, F., Chen, J., and Dong, G.M, Rolling bearing fault diagnosis based on spectral kurtosis in condition monitoring, COMADEM 2010-Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, 529-535
[29] Zhou, Y., Chen, J., and Dong, G.M, Fault diagnosis of rolling element bearings based on cyclic spectrum, COMADEM 2010-Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, 505-512
教学工作
课程名称:机械动力学与振动
授课对象:本科生
学时数  :54
学分    :3 

课程名称:振动噪声测试与诊断
授课对象:本科生
学时数  :51
学分    :3 

课程名称:基于LabVIEW的机械系统动态信号采集与分析
授课对象:本科生
学时数  :34
学分    :2 

课程名称:工程信号处理
授课对象:硕士研究生
学时数  :34
学分    :2 

软件版权登记及专利
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学术兼职
2009~今 中国振动工程学会故障诊断专业委员会 秘书
荣誉奖励
2012.12 上海交通大学 "SMC-晨星青年学者奖励计划"优秀青年教师(C)类(院校优秀教师)
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