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Liu D., Wang M., Chen M. Feature Ensemble Net: A Deep Framework for Detecting Incipient Faults in Dynamical Processes. IEEE Transactions on Industrial Informatics, 2022, Accepted
Wang M., Zhou D., Chen M. Recursive Hybrid Variable Monitoring for Fault Detection in Nonstationary Industrial Processes. IEEE Transactions on Industrial Informatics, 2022, Accepted
Zhang J., Zhou D., Chen M., Hong X. Continual learning for multimode dynamic process monitoring with applications to an ultra-supercritical thermal power plant. IEEE Transactions on Automation Science and Engineering, 2022, Accepted，
Zhang J., Zhou D., Chen M. Adaptive cointegration analysis and modified RPCA with continual learning ability for monitoring multimode nonstationary processes. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2021.3140065,2022
Wang M, Sheng L, Zhou D(*), Chen M(*). A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plan. IEEE/CAA Journal of Automatica Sinica, 2022, in press
Wu D., Sheng L., Zhou D., Chen M. Dynamic stationary subspace analysis for monitoring nonstationary dynamic processes. Industrial & Engineering Chemistry Research, 2022, accepted
Wu D., Zhou D., Chen M. Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach. IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2021.3094512
Wu D., Zhou D., Chen M. Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes with Uncertainty. IEEE Transactions on Industrial Informatics, 18 (2022) 3114-3125.
Zhang J., Chen M., Hong X. Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing，DOI: 10.1016/j.neucom. 2021. 06.039, 2022
Shang J., Chen M., Chen T. Optimal Linear Encryption Against Stealthy Attacks on Remote State Estimation. IEEE Transactions on Automatic Control, 66(2021) 3592-3607
Zhang J., Zhou D, Chen M. Monitoring multimode processes: a modified PCA algorithm with continual learning ability. Journal of Process Control, 103 (2021) 76-86
Wu D., Zhou D., Chen M. 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
Zhang H., Jia C., Chen M. Remaining Useful Life Prediction for Degradation Processes with Dependent and Non-Stationary Increments. IEEE Transactions on Instrumentation & Measurement,70 (2021) 3519212
Zhang H., Chen M., Shang J., et al. Stochastic Process-based Degradation Modeling and RUL Prediction: From Brownian Motion to Fractional Brownian Motion. Science China 64 (2021) 171201
Liu D., Shang J., Chen M. PCA-based Ensemble Detector for Incipient Faults in Dynamic Processes. IEEE Transactions on Industrial Informatics, 17 (2021) 5391- 5401
Li J., Zheng X., Chen M. Height map-based social force model for stairway evacuation. Safety Science 133 (2021) 105027.
Sang J., Zhang J., Zhou D., Chen M., Tai X. Incipient Fault Detection for Air Brake System of High-speed Trains. IEEE Transactions on Control Systems Technolgoy, 29 (2021) 2026 – 2037
Wu D., Zhou D., Zhang J., Chen M. Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. Comput. Chem. Eng. 136 (2020) 106787.
Wu D., Sheng L., Zhou D., Chen M. Dynamic stationary subspace analysis for monitoring nonstationary dynamic processes. Industrial & Engineering Chemistry Research 59 (2020) 20787–2079
Wang M., Zhou D., Chen M. Wang Y. Anomaly Detection in the Fan System of a Thermal Power Plant Monitored by Continuous and Two-valued Variables, Control Engineering Practice 102 (2020) 1045222020
Sang J., Zhang J., Guo T., Zhou D., Chen M., Tai X. Detection of incipient faults in EMU braking system based on data domain description and variable control limit, Neurocomputing 383 (2020) 348-358
Wang Y., Zhou D. Chen M., Wang M. Weighted part mutual information related component analysis for quality-related process monitoring, Journal of Process Control 88 (2020) 111-123
Zhang J, Chen M, Chen H, Hong H, Zhou D. Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. Industrial & Engineering Chemistry Research 58 (2019) 5579-5587
Shang J., Zhou D., Chen M. Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis, Journal of Process Control 77 (2019) 7-19
Zhang H., Zhou D., Chen M., Shang J. FBM-based remaining useful life prediction for degradation processes with long-range dependence and multiple modes, IEEE Transactions on Reliability 68 (2019) 1021-1033
Guo T., Zhou D., Zhang J., Chen M., Tai X., Fault detection based on robust characteristic dimensionality reduction, Control Engineering Practice 84 (2019) 125-138
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) 736–752
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
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
Chen M., Jiang Y., Zhou D. Decentralized Maintenance for Multi-state Systems with Heterogeneous Components, IEEE Transactions on Reliability 67 (2018) 701-714
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
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
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
Chen M., Shang J. Recursive Spectral Meta-Learner for online combining different fault classifiers. IEEE Transactions on Automatic Control 63 (2018) 586-593
Shang J., Chen M. Dynamic Transformed Component Statistical Analysis for Fault Detection in Dynamic Processes. IEEE Transactions on Industrial Electronics 65 (2018) 578–588
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
Xi X., Chen M., Zhou D. Remaining Useful Life Prediction for Degradation Processes with Memory Effects, IEEE Transactions on Reliability 66 (2017) 751-760
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
Shang J., Chen M., Ji H., Zhou D. Recursive Transformed Component Statistical Analysis for Incipient Fault Detection. Automatica 80 (2017) 313-327
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
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
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
Liu Q., Chen M., Zhou D. Single image haze removal via depth-based contrast stretching transform. Sciences China: Information Sciences 58 (2015) 012102
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
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
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
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
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
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
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
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
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
Chen M., Xu C., Zhou D. Maintaining systems with dependent failure modes and resource constraints. IEEE Transactions on Reliability 61 (2012) 440-451
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
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
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
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.
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.
Chen M., Synchronization in complex dynamical networks with random sensor delay. IEEE Trans. Circuits and Systems Part II. 57 (2010) 46-50.
Shang Y., Chen M., Kurths, J. Generalized synchronization of complex networks. Phys Rev E.80 (2009) 027201.
Li P., Chen M., Wu Y., Kurths J. Matrix measure criterion for synchronization in coupled map networks. Physical Review E 79 (2009) 067102
Chen M., Shang Y., Zou Y. Kurths J. Synchronization in the Kuramoto model: A dynamical gradient network approach. Phys. Rev. E 77 (2008) 027101.
Chen M. Chaos synchronization in complex networks. IEEE Trans. on Circuits and Syst. I: Regular Paper. 55 (2008) 1335.
Chen M. Synchronization in time-varying networks: a matrix measure approach. Phys. Rev. E 76 (2007) 016104.
Chen M., Kurths J. Chaos synchronization and parameter estimation from a scalar output signal. Phys. Rev. E 76 (2007) 027203.
Chen M., Kurths J. Synchronization of time-delayed systems. Phys. Rev. E 76 (2007) 036212.
Chen M., Zhou D. Synchronization in uncertain complex networks. Chaos 16 (2006) 013101.
Chen M. Some simple synchronization criteria for complex dynamical networks. IEEE Trans. on Circuits and Syst. II: Express Brief 53 (2006) 1185.
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