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.