主要研究方向：

设备/过程故障诊断与安全控制、人工智能驱动的自动化、油气人工智能

个人简历：陈茂银，中国石油大学（北京）安全与海洋工程学院教授，德国洪堡学者。1997年和2000年于山东曲阜师范大学获得学士和硕士学位；2003年于上海交通大学获得控制科学与工程学科博士学位。2003年至2005年，在清华大学自动化系进行博士后研究。2005年至2023年，在清华大学自动化系任职助理研究员、副教授。目前已经国际期刊上发表和录用论文120多篇，其中Automatica 2篇、IEEE Trans系列期刊40余篇。主持国家自然科学基金（青年、面上）项目4项，主持国家重点研发计划课题2项，主持**863项目1项，主持**973项目课题1项。曾以核心骨干身份参加国家自然科学基金委员会应急管理重点项目1项、国家自然科学基金委重大项目2项、国家自然基金创新群体1项。曾获中国自动化学会自然科学奖一等奖（2011年，排名第一）及二等奖（2019年，排名第一）。连续入选斯坦福大学和爱思唯尔联合发布的全球前2%顶尖科学家“终身科学影响力排行榜”和“年度科学影响力排行榜”。

教育及工作经历

1. M Wang, M Xie, Y Wang, M. Chen. A Deep Quality Monitoring Network for Quality-Related Incipient Faults. IEEE Transactions on Neural Networks and Learning Systems 36 (2025) 1507 - 1517

2. M. Wang, F. Cheng, K. Chen, G. Qiu, C. Cheng, M. Chen. Incipient fault detection based on dense feature ensemble net, Neurocomputing 601 (2024) 128211

3. M. Miao, Z. Li, M. Chen. Time/Frequency Feature-Driven Ensemble Learning for Fault Detection, Processes 12 (2024) 2099

4. X Liu, M Chen, D Zhou, L Sheng. Fault-Tolerant Control of Stochastic High-Order Fully Actuated Systems. IEEE Transactions on Cybernetics 54 (2024) 3225 - 3238

5. J Zhang, D Zhou, M Chen, X Hong, Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes, IEEE Transactions on Automation Science and Engineering 21 (2024)  733 - 745

6. M Wang, D Zhou, M Chen, Hybrid Variable Monitoring Mixture Model for Anomaly Detection in Industrial Processes, IEEE Transactions on Cybernetics 54 (2024) 319 - 331

7. J Zhang, M. Chen,X Hong. Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability, IEEE Transactions on Industrial Informatics 19 (2023) 8029 – 8038

8. J Zhang, D Zhou, M Chen, Self-learning sparse PCA for multimode process monitoring. IEEE Transactions on Industrial Informatics 19 (2023) 29-39

9. M Wang, D Zhou M Chen. Adjustable Multimode Monitoring with Hybrid Variables and Its Application in a Thermal Power Plant. IEEE Transactions on Industrial Informatics 19 (2023) 1425-1435

10. J Zhang, D Zhou, M Chen, Xia Hong. Continual learning for multimode dynamic process monitoring with applications to an ultra-supercritical thermal power plant. IEEE Transactions on Automation Science and Engineering 20 (2023) 137-150

11. J Zhang, D Zhou, M Chen. Adaptive cointegration analysis and modified RPCA with continual learning ability for monitoring multimode nonstationary processes. IEEE Transactions on Cybernetics 53 (2023) 4841-4854

12. M Wang, D Zhou, M Chen. Hybrid variable monitoring: An unsupervised process monitoring framework with binary and continuous variables. Automatica 147 (2023) 110670

13. M Wang, D Zhou, M Chen. Anomaly Monitoring of Nonstationary Processes with Continuous and Two-valued Variables. IEEE Transactions on Systems, Man and Cybernetics: Systems 53 (2023) 49-58

14. D. Liu, M. Wang, M. Chen. Feature Ensemble Net: A Deep Framework for Detecting Incipient Faults in Dynamical Processes, IEEE Transactions on Industrial Informatics 18 (2022) 8618 - 8628

15. M Wang, D Zhou, M Chen. Recursive Hybrid Variable Monitoring for Fault Detection in Nonstationary Industrial Processes. IEEE Transactions on Industrial Informatics 18 (2022) 7296 – 7304

16. D. Wu, D. Zhou, M. Chen. Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes with Uncertainty, IEEE Transactions on Industrial Informatic 18 (2022) 3114 - 3125

17. D. Wu, D. Zhou, M. Chen. Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach, IEEE Transactions on Control Systems Technology 30 (2022) 1171 – 1185

18. J Zhang, D Zhou, M Chen. Monitoring multimode processes: a modified PCA algorithm with continual learning ability. Journal of Process Control 103 (2021) 76-86

19. D Wu, D Zhou, M Chen. Output-relevant common trend analysis for KPI-related nonstationary process monitoring with applications to thermal power plants. IEEE Transactions on Industrial Informatics 17 (2021) 6664–6675

20. D Liu, J Shang, M Chen. Principal Component Analysis-based Ensemble Detector for Incipient Faults in Dynamic Processes. IEEE Transactions on Industrial Informatics 17 (2021) 5391-5401

21. J Sang, J Zhang, D Zhou, M Chen,X Tai. Incipient Fault Detection for Air Brake System of High-speed Trains, IEEE Transactions on Control Systems Technology 29 (2021) 2026-2037

22. H Zhang, C Jia, M Chen. Remaining Useful Life Prediction for Degradation Processes with Dependent and Non-Stationary Increments. IEEE Transactions on Instrumentation & Measurement 70 (2021) 3519212

23. H Zhang, M Chen, J Shang, et al.. Stochastic Process-based Degradation Modeling and RUL Prediction: From Brownian Motion to Fractional Brownian Motion. Science China 64 (2021) 171201

24. J Shang, M Chen, T Chen, Optimal Linear Encryption Against Stealthy Attacks on Remote State Estimation, IEEE Transactions on Automatic Control 66 (2021) 3592-3607

25. M Wang, D Zhou, M Chen，Y Wang. Anomaly Detection in the Fan System of a Thermal Power Plant Monitored by Continuous and Two-valued Variables, Control Engineering Practice 102 (2020) 104522

26. Y Wang, D Zhou, M Chen, M Wang. Weighted part mutual information related component analysis for quality-related process monitoring, Journal of Process Control 88 (2020) 111–123

27. M Chen, J Shang, Recursive Spectral Meta-Learner for Online Combining Different Fault Classifiers. IEEE Transactions on Automatic Control 63 (2), 586-593,2018

28. J Shang, M Chen, Recursive dynamic transformed component statistical analysis for fault detection in dynamic processes. IEEE Transactions on Industrial Electronics 65 (1), 578-588,2018

29. H Zhang, D Zhou, M Che, J. Shang, FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes, IEEE Transactions on Reliability 68 (2019) 1021-1033

30. M Chen, Y Jiang, D Zhou. Decentralized maintenance for multistate systems with heterogeneous components. IEEE Transactions on Reliability 67 (2), 701-714,2018

31. 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

32. 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

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

34. 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

35. 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

36. 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

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

38. 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

39. 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

40. 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.

科研项目

荣誉和奖励