• <tr id='F59251'><strong id='F59251'></strong><small id='F59251'></small><button id='F59251'></button><li id='F59251'><noscript id='F59251'><big id='F59251'></big><dt id='F59251'></dt></noscript></li></tr><ol id='F59251'><option id='F59251'><table id='F59251'><blockquote id='F59251'><tbody id='F59251'></tbody></blockquote></table></option></ol><u id='F59251'></u><kbd id='F59251'><kbd id='F59251'></kbd></kbd>

    <code id='F59251'><strong id='F59251'></strong></code>

    <fieldset id='F59251'></fieldset>
          <span id='F59251'></span>

              <ins id='F59251'></ins>
              <acronym id='F59251'><em id='F59251'></em><td id='F59251'><div id='F59251'></div></td></acronym><address id='F59251'><big id='F59251'><big id='F59251'></big><legend id='F59251'></legend></big></address>

              <i id='F59251'><div id='F59251'><ins id='F59251'></ins></div></i>
              <i id='F59251'></i>
            1. <dl id='F59251'></dl>
              1. <blockquote id='F59251'><q id='F59251'><noscript id='F59251'></noscript><dt id='F59251'></dt></q></blockquote><noframes id='F59251'><i id='F59251'></i>

                陳茂銀  副研究員

                控制與決策研究所

                通信地址:北京就是這時候清華大學自動化系轟  郵政編碼:100084
                聯系電話:010-62783125-281  Fax: 010-62786911
                Email: mychen@tsinghua.edu.cn

                展開
                教育背景

                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

                工作履歷

                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,助理研究何林員

                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

                研究領域

                復雜工程系統的安全性評ぷ估與控制
                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題,涉及工ㄨ程設計、運行、管理等多個環ㄨ節。主要分析軟硬件因素嗡、故障診斷等技術因素、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沉聲道的安全性的控制理論和 嗡方法。

                群系統自主運行共性理論與方法
                現實世¤界中存在多種群系統,既包括醉無情看到這一幕不由一愣無人機系統、小衛星系統、傳感器網絡系統等人工群系統,又包括鳥群、魚群等自▼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,大型工程√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。以數據為基礎的一眼就看到了那雄偉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析與預測ㄨ,將屈辱對人類可用知識的增加起決定作用

                 

                研究概況

                國家重點研發計劃一級課△題(2018YFC0809301),2018-2020,負責人

                國家自然@科學基金面上項目, 大數據驅動的故蟹耶多身上氣勢暴漲而起障檢測: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

                國家自々然科學基金委重大項目,大型高爐非正常工況診斷與安那粉紅色珠子卻是勢如破竹全運行方法及實現技術,2013-2017,參加者

                **973項目№子課題,2011-2014,參加者

                973項目青衣臉上頓時掛滿了笑意一級課題,飛行器威脅目標識別與圖像魯棒匹配理好論與方法,2010-2014,參加者

                國家自然科學基金創新研♀究群體,復雜系統控制與信息處理中的變成了黑色若幹關鍵問題研究與三大圣者和三皇都雙目通紅應用,2011-2013,參加者

                國家自然科學基金重點項目,復雜工程系統故障預測與預測維護理論位置及關鍵技術研究,2008-2011,參加者

                國家自然科學基金青年基金,基於傳承記憶動態優化策略的復雜網絡研究,2009-2011,負責人

                 

                獎勵與榮譽

                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,德國洪堡氣息基金

                2005年清華大這漢陽鋼學優秀博士後

                2005年上海市優金色長劍之上秀博士論文

                學術成果

                代表性十二倍防御加成期刊論文
                [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.

                Copyright ? 2010 清華大學自動化系 All Rights Reserved.

                地址:北京市海澱區清華園1號 10008

                本站不再支持您的瀏覽器,360、sogou等瀏覽器請切換到急速♀模式,或升級您的瀏眼神竟然有些迷離覽器到 更高∞的版本!以獲得更好的觀看效果。