2002-2007, Shanghai Jiao Tong University Mechanical Engineering, Doctor
1999-2002, Xian Jiao Tong University Mechanical Engineering, Master
1995-1999, Xian Jiao Tong University Mechanical Engineering, Bachelor

2007-2009 Postdoctoral Fellow, Department of Mechanical Engineering, Shanghai Jiao Tong University
2009-2015 Lecturer, Institute of Vibration, Shock and Noise, Shanghai Jiao Tong University
2016- Associate Professor, Institute of Vibration, Shock and Noise, Shanghai Jiao Tong University

2005-2006 Visiting Fellow, Mechatronics and Intelligent Systems Group, University of Technology, Sydney

dynamics of mechanical systems and fault diagnosis;
mechanical system signal processing and fault diagnosis

2007-2009 Research on Dynamic Performance and Control of Light Passenger Vehicle，China Postdoctoral Science Foundation funded project(Approved Grant:20070420655)
2012-2013 Application of EEG Signal Analysis Based on Hidden Markov Model in the Diagnosis of Mild Cognitive Dysfunction in the Elderly. Shanghai Jiao Tong University research fundation for joint study between medical and engineering
2012-2014 Study on incipient fault feature extraction and intelligent prognosis techniques of wind turbine gearboxes based on two-dimensional representations of cyclostationary signals，National Nature Science Foundation of China (Approved Grant:51105243)
2014-2015 Vibration test and source location for CRB bearing squeal noise, Project from SKF (Shanghai) Automotive Technology Co., Ltd.
2016-2019 Study on weak fault feature extraction methods of rotating machinery based on signal's sparse representation theory，National Nature Science Foundation of China (Approved Grant:51575339)

[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: 1077546315624996.
[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.

Course Name : Digital Signal Processing
Teaching Target: students/Master in Mechanical and Power Engineering
Credit Hour : 34
Credit : 2

Course Name : Mechanical Dynamics and Vibration
Teaching Target: students/Undergraduate
Credit Hour : 51
Credit : 3

Course Name : Dynamic Signal Acquisition and Analysis of Mechanical System Based on LabVIEW
Teaching Target: students/Undergraduate
Credit Hour : 34
Credit : 2

Excellent Young Teachers (C) of SMC Young Scholars Award Program, Shanghai Jiaotong University, December 2012