2002-2007 上海交通大學機械設(shè)計及理論專業(yè) 博士
1999-2002 西安交通大學動力機械及工程專業(yè) 碩士
1995-1999 西安交通大學熱力發(fā)動機專業(yè) 學士

2007-2009 上海交通大學機械與動力工程學院 博士后
2010-2015 上海交通大學機械與動力工程學院 講師
2016-今 上海交通大學機械與動力工程學院 副研究員

機械系統(tǒng)動力學與故障診斷
機械系統(tǒng)動態(tài)信號處理與故障診斷

2007-2009 中國博士后基金項目“基于手工建模的輕型乘用車輛防翻覆性能及其控制研究”，負責
2007-2009 科技部863項目“大型變頻鼓風機故障預(yù)測與維護技術(shù)研究”，參加
2007-2008 上海惠華自動化工程有限公司委托項目“煤氣鼓風機在線監(jiān)測與故障診斷系統(tǒng)開發(fā)”，參加
2009-2011 國家自然科學基金面上項目“基于循環(huán)統(tǒng)計量的盲源分離方法研究及其在旋轉(zhuǎn)機械故障特征提取中的應(yīng)用”，參加
2011-2014 國家自然科學基金重點項目“關(guān)鍵設(shè)備故障預(yù)示與運行安全保障的新理論和新技術(shù)”，參加
2012-2012 西安-惠大化學工業(yè)有限公司委托項目 “絲束卷曲能在線監(jiān)測與分析系統(tǒng)研究”，參加
2012-2014 國家自然科學基金青年基金“基于循環(huán)平穩(wěn)信號二維信息的風電齒輪箱早期故障特征提取與智能預(yù)示技術(shù)研究”，負責
2012-2013 上海交通大學醫(yī)工交叉基金 “基于隱馬爾科夫模型的腦電信號分析在老年輕度認知功能障礙診斷中的應(yīng)用”，負責
2012-2012 中航商發(fā)公司委托項目 “大型客機發(fā)動機管路模態(tài)試驗”，負責
2012-2013 汽車車身先進設(shè)計制造國家重點實驗室開放基金 “基于輸出響應(yīng)的汽車車身模態(tài)分析技術(shù)研究”，負責
2013-2014 機械系統(tǒng)與振動國家重點實驗室開放基金 “基于信號共振稀疏分解理論的旋轉(zhuǎn)機械故障特征提取方法”， 負責
2013-2015 上海交通大學985三期建設(shè)項目 “跨音速軸流壓氣機流-聲-固耦合振動噪聲試驗平臺”，負責
2014-2015 上海交通大學燃氣輪機研究院科研基金 “軸流壓氣機旋轉(zhuǎn)失速早期識別與預(yù)測研究”，負責
2014-2015 斯凱孚（上海）汽車技術(shù)有限公司委托項目 “CRB軸承嘯叫測試-軸承嘯叫振源及聲源定位”，負責
2014-2015 成都西南交大科技園管理有限責任公司委托項目“高速列車輪對軸承故障監(jiān)測關(guān)鍵技術(shù)研究”，參加
2014-2015 上海衛(wèi)星工程研究所委托項目 “在軌振動監(jiān)測及模態(tài)辨識系統(tǒng)”，負責
2015-2016 上海衛(wèi)星工程研究所委托項目 “在軌航天器結(jié)構(gòu)健康監(jiān)測與損傷機理研究”，負責
2015-2018 國家自然科學基金面上項目 “旋轉(zhuǎn)機械瞬態(tài)聲場重建與特征提取方法研究”，參加
2015-2016 上海鳴志自動控制設(shè)備有限公司委托項目“設(shè)備狀態(tài)預(yù)測分析系統(tǒng)開發(fā)”，參加
2016-2019 國家自然科學基金面上項目“基于信號稀疏表征理論的旋轉(zhuǎn)機械微弱故障特征提取方法研究”，負責
2017-2020 十三五預(yù)研共用技術(shù)項目“壓氣機流致噪聲機理研究”，負責

[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.
[42]. 陳進，董廣明. 《機械故障特征提取的循環(huán)平穩(wěn)理論及方法》，上海交通大學出版社，2013