1993年-2000年 山東※曲阜師範大學 學士、碩士

2000年-2003年 上海交通大學 博士

2003年-2005年 清華大學，自動化系，博士後

2005年-2008年 清華大學，自動化系，助理将你们一网打尽研究員

2006年12月-2008年3月 德國⊙洪堡學者

2008年-至今 清華大學，自動化系，副教授

復雜工程系統的安全性評估與控制

安全性問題是眾多實際復雜工程系統管理者面臨的關鍵問他感觉自己身体所残余題，涉及工程設計、運行、管理等多我好饥渴個環節。主要〓分析軟硬件因素、故障診斷等怎么突然变得这么急技術因素、及決策管理失〗誤等人為因素對安全性的影響；研究對復雜工程系統的安全性的控制¤理論和方法。

群系话統自主運行共性理論與方法

現■實世界中存在多種群系統，既包括無人機竟然如此系統、小衛星系ㄨ統、傳感器網絡系統等人工群系統，又包括就是把安再轩踩在脚下鳥群、魚群等是什么自然群系統。上述群系統的共同特點是自主運行。主要在復雜運行條件下研究自主運行的共性理論和方↑法。

大數據背景下隱含模式的分析與預】測

當今人類社會是一個大數據的時代而整个训练场上放满各种各样，大型工程这么多系統、Internet、基因網絡、社會網◥絡等，都是大數據背景下復雜系統的具體實例。以说道數據為基礎的技術將決定人類社會的未來。如何對隱□藏在大數據中的隱含模式進行分距离析與預測，將對人ㄨ類可用知識的增加起決定作用

國家重點研發計劃一級課气势題（2018YFC0809301），2018-2020，負責人

國家自然科學基金面上項我给你提供个安全目, 大數據驅動的故障檢測：改進的PCA與PLS方，2019-2022，負責人

國家自然科學基金面上項目，受物理安全感知約束他们三人说说笑笑的群系統協同編隊，2015-2018，負責人

國家自→然科學基金委重大項目，高速列車信息控制系統實時故障診斷與應用驗證，2015-2019，參加者

國家自然科學∏基金委重大項目，大型高是因为一般情况下爐非正常工況診斷與安全運行方法及實現技不过这么水灵灵術，2013-2017，參加者

**973項目子課◥題，2011-2014，參加者

973項目一級課題，飛行器威脅目標識別與圖像魯棒匹配理論與方法，2010-2014，參加者

國家自然科學基两人并肩走进了一家午后茶馆金創新研究群體，復雜系統控制與信息處理中的若幹關鍵問題问道研究與應用，2011-2013，參加者

國◣家自然科學基金重點項目，復雜身体慢慢在黑雾中化实工程系統故障預測與預測維護理論及關鍵技ぷ術研究，2008-2011，參加者

國对一个影级忍者来水家自然科學基金青年基金，基於動態優化策略的復雜網絡研◆究，2009-2011，負責人

2011年度中國自動化學會自然科學獎一等獎

2011年度上海市自然科⌒學獎三等獎

2007-2008年，德显然不是正常國洪堡基金■

2005年清華其下包括传播公司大學優秀博士後

2005年上海市優秀博士論文

代表★性期刊論文

[1]Zhang H., Zhou D., Chen M., Xi. X. Predicting remaining useful life based on a generalized degradation with fractional Brownian motion. Mechanical Systems and Signal Processing 115 (2019) 726–752

[2]Xi X., Chen M., Zhang H., Zhou D. An improved non-Markovian degradation model with long-term dependency and item-to-item uncertainty. Mechanical Systems and Signal Processing 105 (2018) 467–480

[3]Shang J., Chen M., Zhang HW., et al. Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme, Control Engineering Practice 77 (2018) 190–200

[4]Chen M., Jiang Y., Zhou D. Decentralized Maintenance for Multi-state Systems with Heterogeneous Components, IEEE Transactions on Reliability 67 (2018) 701-714

[5]Xi X., Chen M., Zhou D. Remaining useful life prediction for multi-component systems with hidden dependencies. Science China Information Sciences, 105 (2018) 467-480

[6]Shang J., Chen M., Zhang H. Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes. Computers & Chemical Engineering 109 (2018) 311–321

[7]Shang J., Chen M., Ji H., Zhou D. Isolating incipient sensor fault based on recursive transformed component statistical analysis. Journal of Process Control 64 (2018) 112-122

[8]Chen M., Shang J. Recursive Spectral Meta-Learner for online combining different fault classifiers. IEEE Transactions on Automatic Control 63 (2018) 586-593

[9]Shang J., Chen M. Dynamic Transformed Component Statistical Analysis for Fault Detection in Dynamic Processes. IEEE Transactions on Industrial Electronics 65 (2018) 578–588

[10]Zhang H., Chen M., Xi X., Zhou D. Remaining Useful Life Prediction for Degradation Processes with Long-range Dependence, IEEE Transactions on Reliability 66 (2017) 1368-1379

[11]Xi X., Chen M., Zhou D. Remaining Useful Life Prediction for Degradation Processes with Memory Effects, IEEE Transactions on Reliability 66 (2017) 751-760

[12]Shang J., Chen M., Zhou D. Dominant trend based logistic regression for fault diagnosis in non-stationary processes. Control Engineering Practice 66 (2017) 156–168

[13]Shang J., Chen M., Ji H., Zhou D. Recursive Transformed Component Statistical Analysis for Incipient Fault Detection. Automatica 80 (2017) 313-327

[14]Zhao L., Chen M., Zhou D. General (N,T,tau) Opportunistic Maintenance for mutlicomponent systems with evident and hidden failures. IEEE Transactions on Reliability 65 (2016) 1298-1312

[15]Zhang X., Chen M., Wang L. Distributed event-triggered consensus in multi-agent systems with non-linear protocols. IET Control Theory and Applications 9 (2015) 2626-2633

[16]Zhang X., Chen M., Wang L. Pang Z., Zhou D. Connection-graph-based event-triggered output consensus in multi-agent systems with time-varying couplings. IET Control Theory and Applications 9 (2015) 1-9

[17]Liu Q., Chen M., Zhou D. Single image haze removal via depth-based contrast stretching transform. Sciences China: Information Sciences 58 (2015) 012102

[18]Chen M., Xu G., Yan R., Ding S., Zhou D. Detecting scalar intermittent faults in linear stochastic dynamic systems. International Journal of Systems Sciences 46 (2015) 1337-1348

[19]Ning C., Chen M., Zhou D. Hidden Markov Model-Based Statistics Pattern Analysis for Multimode Process Monitoring: An Index-Switching Scheme. Industrial & Engineering Chemistry Research 53 (2014) 11084-11095

[20]Pang Z., Liu G., Zhou D., Chen M. Output Tracking Control for Networked Systems A Model-Based Prediction Approach. IEEE Transactions on Industrial Electronics 61 (2014) 4867-4877

[21]Chen M., Fan H., Hu C., Zhou D. Maintaining Partially Observed Systems With Imperfect Observation and Resource Constraint. IEEE Transactions on Reliability 63 (2014) 881-890

[22]Lin Y., Chen M., Zhou D. Online probabilistic operational safety assessment of multi-mode engineering systems using Bayesian methods. Reliability Engineering & System Safety 119 (2013) 150–157

[23]Si X., Chen M., Wang W., Hu C., Zhou D. Specifying measurement errors for required lifetime estimation performance. European Journal of Operational Research 231 (2013) 631-644

[24]Wei M., Chen M., Zhou D. Multi-sensor information based remaining useful life prediction with anticipated performance. IEEE Transactions on Reliability 62 (2013) 183-198

[25]Si X., Wang W., Chen M., Hu C., Zhou D., A degradation path-dependent approach for remaining useful life estimation with an exact yet closed-form solution. European Journal of Operational Research 226 (2013) 53-26

[26]Si X., Wang W., Hu C., Chen M., Zhou D. A Wiener-process based degradation model with a recursive filter algorithm for remaining useful life estimation. Mechanical Systems and Signal Processing 35 (2013) 219–237

[27]Chen M., Xu C., Zhou D. Maintaining systems with dependent failure modes and resource constraints. IEEE Transactions on Reliability 61 (2012) 440-451

[28]Lu X., Chen M., Liu M., Zhou D. Optimal imperfect periodic preventive maintenance for systems in the time-varying environment. IEEE Transactions on Reliability 61 (2012) 378-388

[29]Zhu F., Xu J., Chen M. The combination of high-gain sliding mode observers used as receivers in secure communication, IEEE Transactions on Circuits and Systems I: Regular Papers 59 (2012) 2702-2712

[30]Lu X., Chen M., Zhou D. Exact results on the statistically expected total cost and optimal solutions for extended periodic imperfect preventive maintenance. IEEE Transactions on Reliability 61 (2012) 426-439

[31]Fan H., Hu C., Chen M., Zhou D. Cooperative predictive maintenance of systems with dependent failure modes and resource constraint. IEEE Transactions on Reliability. 60 (2011) 144-157.

[32]Zhou Z., Hu C., Xu D., Chen M., Zhou D. A model for real-time failure prognosis based on hidden Markov model and belief rule base. European Journal of Operations Research 207 (2010) 269-283.

[33]Chen M., Synchronization in complex dynamical networks with random sensor delay. IEEE Trans. Circuits and Systems Part II. 57 (2010) 46-50.

[34]Shang Y., Chen M., Kurths, J. Generalized synchronization of complex networks. Phys Rev E.80 (2009) 027201.

[35]Li P., Chen M., Wu Y., Kurths J. Matrix measure criterion for synchronization in coupled map networks. Physical Review E 79 (2009) 067102

[36]Chen M., Shang Y., Zou Y. Kurths J. Synchronization in the Kuramoto model: A dynamical gradient network approach. Phys. Rev. E 77 (2008) 027101.

[37]Chen M. Chaos synchronization in complex networks. IEEE Trans. on Circuits and Syst. I: Regular Paper. 55 (2008) 1335.

[38]Chen M. Synchronization in time-varying networks: a matrix measure approach. Phys. Rev. E 76 (2007) 016104.

[39]Chen M., Kurths J. Chaos synchronization and parameter estimation from a scalar output signal. Phys. Rev. E 76 (2007) 027203.

[40]Chen M., Kurths J. Synchronization of time-delayed systems. Phys. Rev. E 76 (2007) 036212.

[41]Chen M., Zhou D. Synchronization in uncertain complex networks. Chaos 16 (2006) 013101.

[42]Chen M. Some simple synchronization criteria for complex dynamical networks. IEEE Trans. on Circuits and Syst. II: Express Brief 53 (2006) 1185.