董广明 副研究员
所在系所振动、冲击、噪声研究所
办公电话-828
通讯地址上海交大机械与动力工程学院A楼828室
电子邮件gmdong@sjtu.edu.cn
个人主页


教育背景 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 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 2005-2006 澳大利亚悉尼科技大学机械电子工程系 访问****

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
2007-2009 科技部863项目“大型变频鼓风机故障预测与维护技术研究”，参加
2007-2008 上海惠华自动化工程有限公司委托项目“煤气鼓风机在线监测与故障诊断系统开发”，参加
2009-2011 国家自然科学基金面上项目“基于循环统计量的盲源分离方法研究及其在旋转机械故障特征提取中的应用”，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
2012-2012 西安-惠大化学工业有限公司委托项目 “丝束卷曲能在线监测与分析系统研究”，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
2012-2013 上海交通大学医工交叉基金 “基于隐马尔科夫模型的脑电信号分析在老年轻度认知功能障碍诊断中的应用”，负责
2012-2012 中航商发公司委托项目 “大型客机发动机管路模态试验”，负责
2012-2013 汽车车身先进设计制造国家重点实验室开放基金 “基于输出响应的汽车车身模态分析技术研究”，负责
2013-2014 机械系统与振动国家重点实验室开放基金 “基于信号共振稀疏分解理论的旋转机械故障特征提取方法”， 负责
2013-2015 上海交通大学985三期建设项目 “跨音速轴流压气机流-声-固耦合振动噪声试验平台”，负责
2014-2015 上海交通大学燃气轮机研究院科研基金 “轴流压气机旋转失速早期识别与预测研究”，负责
2014-2015 斯凯孚（上海）汽车技术有限公司委托项目 “CRB轴承啸叫测试-轴承啸叫振源及声源定位”，负责
2014-2015 成都西南交大科技园管理有限责任公司委托项目“高速列车轮对轴承故障监测关键技术研究”，参加
2014-2015 上海卫星工程研究所委托项目 “在轨振动监测及模态辨识系统”，负责
2015-2016 上海卫星工程研究所委托项目 “在轨航天器结构健康监测与损伤机理研究”，负责
2015-2018 国家自然科学基金面上项目 “旋转机械瞬态声场重建与特征提取方法研究”，参加
2015-2016 上海鸣志自动控制设备有限公司委托项目“设备状态预测分析系统开发”，参加
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
2017-2020 十三五预研共用技术项目“压气机流致噪声机理研究”，负责

代表性论文专著 [1].F.T Hou, J. Chen, G.M. Dong, Weak fault feature extraction of rolling bearings based on globally optimized sparse coding and approximate SVD. Mechanical Systems and Signal Processing, 2018, 111: 234-250.
[2].G.M. Dong, J. Chen, F.G. Zhao, Incipient bearing fault feature extraction based on minimum entropy deconvolution and K-SVD. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2017, 139(10): 101006-101006-12
[3].G.M. Dong, F.G. Zhao, X.K. Zhang. Experimental study on monitoring the bolt group looseness in a clamping support structure model. Advances in Mechanical Engineering, 2017, 9(3): 1-12
[4].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
[5].G.M. Dong, J. Chen, N, Zhang. Investigation into on-road vehicle parameter identification based on subspace methods, Journal of Sound and Vibration, 2014, 333(24): 6760-6779
[6].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
[7].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
[8].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
[9].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
[10].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
[11].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.
[12].H.D. Yuan, J. Chen, G.M. Dong. Machinery fault diagnosis based on time–frequency images and label consistent K-SVD. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2018. 232(7): 1317-1330.
[13].H.D. Yuan, J. Chen, G.M. Dong. An improved initialization method of D-KSVD algorithm for bearing fault diagnosis. Journal of Mechanical Science and Technology, 2017. 31(11): 5161-5172
[14].H.D. Yuan, J. Chen, G.M. Dong. Bearing Fault Diagnosis Based on Improved Locality-Constrained Linear Coding and Adaptive PSO-Optimized SVM. Mathematical Problems in Engineering, 2017. 2017: 1-16
[15].H.T. Zhou, J. Chen, G.M. Dong, H.C. Wang, H.D. Yuan. Bearing fault recognition method based on neighbourhood component analysis and coupled hidden Markov model. Mechanical Systems and Signal Processing, 2016,66: 568-581
[16].H.T. Zhou, J. Chen, G.M. Dong. Detection and diagnosis of bearing faults using shift-invariant dictionary learning and hidden Markov model. Mechanical Systems and Signal Processing, 2016,72: 65-79
[17].H.M. Jiang, J. Chen, G.M. Dong. An intelligent performance degradation assessment method for bearings. Journal of Vibration and Control, 2016: 24996.
[18].H.M. Jiang, J. Chen, G.M. Dong. Hidden Markov model and nuisance attribute projection based bearing performance degradation assessment. Mechanical Systems and Signal Processing, 2016, 72: 184-205.
[19].H.M. Jiang, J. Chen, G.M. Dong. Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis. Mechanical Systems and Signal Processing, 2015, 52: 338-359.
[20].T. Liu, J. Chen, G.M. Dong. Singular spectrum analysis and continuous hidden Markov model for rolling element bearing fault diagnosis, Journal of Vibration and Control, 2015, 21(8): 1506-1521
[21].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, 46（2）: 373-388
[22].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, 48(1-2): 103-119
[23].H.C. Wang, J. Chen, G.M. Dong. Weak fault feature extraction of rolling bearing based on MED and sparse decomposition, Journal of Vibration and Control, 2014,20(8):1148-1162
[24].T. Liu, J. Chen, G.M. Dong. Zero crossing and coupled hidden Markov model for a rolling bearing performance degradation assessment, Journal of Vibration and Control, 2014, 20(16): 2487-2500
[25].Y. Ming, J. Chen, G.M. Dong. Application of convolved blind separation based on second-order cyclic statistics in rolling element bearing feature extraction, Journal of Vibration and Control, 2014, 20(4): 617-633
[26].G. Chen, J. Chen, G.M. Dong. Chirplet Wigner–Ville distribution for time–frequency representation and its application, Mechanical Systems and Signal Processing, 2013, 41(1): 1-13.
[27].F.Y. Cong, J. Chen, G.M. Dong. Vibration model of rolling element bearings in a rotor-bearing system for fault diagnosis, Journal of Sound and Vibration, 2013, 332(8): 2081-2097.
[28].F.Y. Cong, J. Chen, G.M. Dong. Short-time matrix series based singular value decomposition for rolling bearing fault diagnosis, Mechanical Systems and Signal Processing, 2013, 34(1-2): 218-230.
[29].R.L. Jiang, J. Chen, G.M. Dong. The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy deconvolution and envelope spectrum, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 2013, 227(5): 1116-1129
[30].T. Liu, J. Chen, G.M. Dong, X.N. Zhou, W.B. Xiao. The fault detection and diagnosis in rolling element bearings using frequency band entropy, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2013, 227(1): 87-99
[31].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
[32].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
[33].F.Y. Cong, J. Chen, G.M. Dong. Spectral kurtosis based on AR model for fault diagnosis and condition monitoring of rolling bearing, Journal of Mechanical Science and Technology, 2012, 26(2): 301–306
[34].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
[35].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
[36].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
[37].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
[38].F.Y. Cong., J. Chen, 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.
[39].Zhao, F.G., J. Chen, G.M. Dong. SOA-based remote condition monitoring and fault diagnosis system. International Journal of Advanced Manufacturing Technology, 2010, 46(9-12): 1191-1200.
[40].H.P. Du, N. Zhang, G.M. Dong, Stabilising vehicle lateral dynamics with considerations of parameter uncertainties and control saturation through robust yaw control, IEEE Transaction on Vehicle Technology, 2010, 59: 2593-2597.
[41].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.
[42].陈进，董广明. 《机械故障特征提取的循环平稳理论及方法》，上海交通大学出版社，2013

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：数字信号处理
授课对象：硕士研究生
学时数 ：34
学分 ：2

荣誉奖励 2012.12 上海交通大学 "SMC-晨星青年****奖励计划"优秀青年教师(C)类（院校优秀教师）