陈茂银  副教授

过程控制工程研究所

通信地址:北京清华大学自动化系  邮政编码:100084
联系电话:010-62783125-281  Fax: 010-62786911
Email: mychen@tsinghua.edu.cn

教育背景

1993年-2000年 山东曲阜师范大学  学士、硕士

2000年-2003年 上海交通大学  博士

工作履历

2003年-2005年 清华大学,自动化系,博士后

2005年-2008年 清华大学,自动化系,助理研究员

2006年12月-2008年3月 德国洪堡学者

2008年-至今 清华大学,自动化系,副教授

研究领域

复杂工程系统的安全性评估与控制
安全性问题是众多实际复杂工程系统管理者面临的关键问题,涉及工程设计、运行、管理等多个环节。主要分析软硬件因素、故障诊断等技术因素、及决策管理失误等人为因素对安全性的影响;研究对复杂工程系统的安全性的控制理论和方法。

群系统自主运行共性理论与方法
现实世界中存在多种群系统,既包括无人机系统、小卫星系统、传感器网络系统等人工群系统,又包括鸟群、鱼群等自然群系统。上述群系统的共同特点是自主运行。主要在复杂运行条件下研究自主运行的共性理论和方法。

大数据背景下隐含模式的分析与预测
当今人类社会是一个大数据的时代,大型工程系统、Internet、基因网络、社会网络等,都是大数据背景下复杂系统的具体实例。以数据为基础的技术将决定人类社会的未来。如何对隐藏在大数据中的隐含模式进行分析与预测,将对人类可用知识的增加起决定作用

 

研究概况

国家重点研发计划一级课题(2018YFC0809301),2018-2020,负责人

国家自然科学基金面上项目, 大数据驱动的故障检测:改进的PCA与PLS方,2019-2022,负责人

国家自然科学基金面上项目,受物理安全感知约束的群系统协同编队,2015-2018,负责人

国家自然科学基金委重大项目,高速列车信息控制系统实时故障诊断与应用验证,2015-2019,参加者

国家自然科学基金委重大项目,大型高炉非正常工况诊断与安全运行方法及实现技术,2013-2017,参加者

**973项目子课题,2011-2014,参加者

973项目一级课题,飞行器威胁目标识别与图像鲁棒匹配理论与方法,2010-2014,参加者

国家自然科学基金创新研究群体,复杂系统控制与信息处理中的若干关键问题研究与应用,2011-2013,参加者

国家自然科学基金重点项目,复杂工程系统故障预测与预测维护理论及关键技术研究,2008-2011,参加者

国家自然科学基金青年基金,基于动态优化策略的复杂网络研究,2009-2011,负责人

奖励与荣誉

2011年度中国自动化学会自然科学奖一等奖

2011年度上海市自然科学奖三等奖

2007-2008年,德国洪堡基金

2005年清华大学优秀博士后

2005年上海市优秀博士论文

学术成果

代表性期刊论文
[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.