代表性论文专著
SCI期刊
[1] Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan*. Online unsupervised optimization framework for machine performance assessment based on distance metric learning. Mechanical Systems and Signal Processing. 2023, Accepted.
[2] Zirong Wang, Zhen Chen*, Tangbin Xia, Ershun Pan. Degradation Modeling Considering the Dependency of Rate and Volatility for Real-time Prognostics with Error Correction. IEEE Transactions on Instrumentation and Measurement. 2023, Accepted.
[3] Zhen Chen, Di Zhou, Enrico Zio, Tangbin Xia, Ershun Pan*. A deep learning feature fusion-based health index construction method for prognostics using multi-objective optimization. IEEE Transactions on Reliability. 2023, 72(3): 1038-1052.
[4] Zhen Chen, Di Zhou, Enrico Zio, Tangbin Xia, Ershun Pan*. Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines. Reliability Engineering & System Safety. 2023, 234, 109162.
[5] Zhaoxiang Chen, Zhen Chen*, Di Zhou, Tangbin Xia, Ershun Pan. Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty. Journal of Manufacturing Systems. 2023, 71, 406-420.
[6] Zhaoxiang Chen, Zhen Chen*, Di Zhou, Ershun Pan. Energy-oriented opportunistic maintenance optimization of continuous process manufacturing systems with two types of stochastic durations. Reliability Engineering & System Safety. 2023, 237, 109385.
[7] Wei Wu, Zhen Chen, Linman Li, Ershun Pan*. A novel deep time-index framework with limited data and feature extraction for battery capacity degradation prediction. Quality and Reliability Engineering International, 2023, DOI: 10.1002/qre.3459.
[8] Zhaoxiang Chen, Zhen Chen, Di Zhou, Chi Shao, Ershun Pan*. Optimal replacement policy for multi-state manufacturing system with economic and resource dependence under epistemic uncertainty. International Journal of Production Research. 2023, 61(20): 6772-6790.
[9] Zhaoxiang Chen, Zhen Chen, Di Zhou, Ershun Pan*. Joint optimization of fleet-level sequential selective maintenance and repairpersons assignment for multi-state manufacturing systems. Computers & Industrial Engineering. 2023, 182: 109411.
[10] Yaping Li, Tangbin Xia, Zhen Chen, Ershun Pan*. Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems. Reliability Engineering & System Safety, 2023, 230, 108905.
[11] Guojin Si, Tangbin Xia*, Yaping Li, Dong Wang, Zhen Chen, Ershun Pan, Lifeng Xi. Resource allocation and maintenance scheduling for distributed multi-center renewable energy systems considering dynamic scope division. Renewable Energy. 2023, 271, 119219: 1-14.
[12] Rourou Li, Yimin Jiang, Tangbin Xia*, Dong Wang, Zhen Chen, Ershun Pan, Lifeng Xi. Multiscale feature extension enhanced deep global-local attention network for remaining useful life prediction. IEEE Sensors Journal. 2023, 23(20), 25557-25571.
[13] Yin Zhu, Tangbin Xia*, Yutong Ding, Ge Hong, Zhen Chen, Ershun Pan, Lifeng Xi. Optimal Maintenance Service Strategy of Service-Oriented Aviation Manufacturers for Two-Stage Leased System Under Capacity Limits. IEEE Transactions on Reliability. 2023, Accepted.
[14] Yuhui Xu, Tangbin Xia*, Dong Wang, Zhen Chen, Ershun Pan, Lifeng Xi. Dynamic Time Scales Ensemble Framework for Similarity-based Remaining Useful Life Prediction Under Multiple Failure Modes. Engineering Applications of Artificial Intelligence. 2023, Accepted.
[15] Yaping Li*, Tengfei Han, Tangbin Xia, Zhen Chen, Ershun Pan. A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction. Computers in Industry. 2023, 144, 103794.
[16] Zhen Chen, Tangbin Xia, Yaping Li, Ershun Pan*. Random-effect models for degradation analysis based on nonlinear Tweedie exponential-dispersion processes. IEEE Transactions on Reliability. 2022, 71(1): 47-62.
[17] Biao Lu*, Zhen Chen, Xufeng Zhao. Data-driven dynamic adaptive replacement policy for units subject to heterogeneous degradation. Computers & Industrial Engineering, 2022, 171, 108478.
[18] Di Zhou, Zhen Chen, Ershun Pan*, Yiming Zhang. Dynamic statistical responses of gear drive based on improved stochastic iteration method. Applied Mathematical Modelling, 2022, 108: 46-65.
[19] Tangbin Xia, Yutong Ding, Yifan Dong*, Zhen Chen, Meimei Zheng, Ershun Pan, Lifeng Xi. Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data. Journal of Manufacturing Systems. 2022, 65, 640-652.
[20] Ying Zhu, Tangbin Xia*, Ge Hong, Zhen Chen, Ershun Pan, Lifeng Xi. Collaborative maintenance service and component sales under coopetition patterns for OEMs challenged by booming used-component sales. Reliability Engineering & System Safety, 2022, 226, 108712.
[21] Ying Zhu, Tangbin Xia*, Zhen Chen, Meimei Zheng, Ershun Pan, Lifeng Xi. Joint optimization of price, warranty and service investment for capital-intensive equipment considering maintenance capacity limits. Computers & Industrial Engineering, 2022,169, 108152.
[22] Ying Zhu, Tangbin Xia*, Zhen Chen, Ershun Pan, Lifeng Xi. Optimal maintenance service strategy for OEM entering competitive MRO market under opposite patterns. Reliability Engineering & System Safety, 2022, 217: 108060.
[23] Yaping Li*, Haiyan Li, Zhen Chen, Ying Zhu. An improved hidden Markov model for monitoring the process with autocorrelated observations. Energies, 2022, 15(5): 1685.
[24] Zhen Chen, Tangbin Xia, Yanting Li, Ershun Pan*. A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors. Mechanical Systems and Signal Processing, 2021, 158: 107785.
[25] Zhen Chen, Tangbin Xia, Di Zhou, Ershun Pan*. A health index construction framework for prognostics based on feature fusion and constrained optimization. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-15.
[26] Zhen Chen, Yaping Li, Di Zhou, Tangbin Xia, Ershun Pan*. Two-phase degradation data analysis with change-point detection based on Gaussian process degradation model. Reliability Engineering & System Safety, 2021, 216: 107916.
[27] Biao Lu*, Zhen Chen, Xufeng Zhao. Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors. Reliability Engineering & System Safety, 2021, 212: 107628.
[28] Zhaoxiang Chen, Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan*. Reliability evaluation for multi-state manufacturing systems with quality-reliability dependency. Computers & Industrial Engineering, 2021, 154: 107166.
[29] Tangbin Xia, Bowen Sun, Zhen Chen, Ershun Pan, Hao Wang, Lifeng Xi*. Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems. Reliability Engineering & System Safety, 2021, 205: 107233.
[30] Mengdie Huang, Tangbin Xia*, Zhen Chen, Ershun Pan, Lifeng Xi. A DEA integrated grey factor analysis approach for efficiency evaluation and ranking in uncertain systems. Computers & Industrial Engineering, 2021, 162: 107681.
[31] Zhen Chen, Tangbin Xia, Yanting Li, Ershun Pan*. Tweedie exponential dispersion processes for degradation modeling, prognostic, and accelerated degradation test planning. IEEE Transactions on Reliability, 2020, 69(3): 887-902.
[32] Zhen Chen, Ershun Pan*, Tangbin Xia, Yanting Li. Optimal degradation-based burn-in policy using Tweedie exponential-dispersion process model with measurement Errors. Reliability Engineering & System Safety, 2020, 195: 106748.
[33] Zhen Chen, Yaping Li, Tangbin Xia, Ershun Pan*. Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy. Reliability Engineering & System Safety, 2019, 184: 123-136.
[34] Zhen Chen, Tangbin Xia, Yaping Li, Ershun Pan*. Degradation modeling and classification of mixed populations using segmental continuous hidden Markov models. Quality and Reliability Engineering International, 2018, 34(5): 807-823.
[35] Yaping Li*, Zhen Chen, Yanliang Tao, Sifeng Liu. A novel multi-variable grey prediction model with the inequality constraints. Journal of Grey System, 2018, 30(2): 107-117.
[36] Zhen Chen, Tangbin Xia, Ershun Pan*. Optimal multi-level classification and preventive maintenance policy for highly reliable products. International Journal of Production Research, 2017, 55(8): 2232-2250.
[37] Yaping Li*, Zhen Chen, Yanliang Tao, Sifeng Liu, Xiaojun Guo. A novel multi-variable grey prediction model and its application in Sino-Russian timber trade volume forecasting. Journal of Grey System, 2017, 29(4): 109-122.
国际会议论文/报告
[1] Zhen Chen, Lanxiang Liu, Enrico Zio, Ershun Pan*. Collaborative Kernel-based Nonlinear Degradation Modeling with Transfer Learning for Remaining Useful Life Prediction. European Conference on Safety and Reliability 2022 (ESREL), Dublin, Ireland. August 28 - September 1, 2022.
[2] Zhen Chen, Enrico Zio, Ershun Pan*. An Unsupervised Fault Isolation System for Steam Turbine Condition Monitoring. 2021 5th International Conference on System Reliability and Safety (ICSRS), Palermo, Italy. November 24-26, 2021. (Best presentation)
[3] Hanyu Wang, Zhen Chen, Tangbin Xia, Di Zhou, Ershun Pan*. A Wiener process model with kernel-based time transformation for nonlinear degradation data. 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing). IEEE, 2021: 1-8.
[4] Zhen Chen, Tangbin Xia, Ershun Pan*. Remaining useful life estimation based on a segmental hidden Markov model with continuous observations. Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference. Los Angeles, California, USA. June 4–8, 2017. V003T04A060. ASME.
[5] Zhen Chen, Yaping Li, Ershun Pan*. Joint optimization of degradation-based burn-in, quality, and preventive maintenance. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016: 1397-1401.
中文期刊
[1] 袁博, 郝澜宇, 陈震, 潘尔顺*. 基于文本挖掘的飞机装配质量问题智能诊断——以中国商飞公司为案例. 工业工程与管理, 2021, 26(05): 195-202.
[2] 王孟雅, 陈震, 潘尔顺*. 基于马尔科夫决策的冷贮备串联系统状态维修与备件联合优化. 工业工程与管理, 2022, 1-16.
[3] 高英铭, 陈震, 张秀芳, 潘尔顺*. 基于随机流网络与Markov过程的制造系统可靠性建模及维护优化. 上海交通大学学报, 2021, 55(03): 229-235.
[4] 陈震, 潘浩, 潘尔顺*. 恒定应力加速退化试验差异化设计. 系统工程与电子技术, 2019, 41(04): 931-938.
[5] 张媛, 陈震, 潘尔顺*, 奚立峰. 基于自相关观测和隐马尔科夫模型的统计过程监控. 计算机集成制造系统, 2018, 24(10): 2388-2394.
[6] 李烁, 陈震, 潘尔顺*. 广义逆高斯过程的步进应力加速退化试验设计. 上海交通大学学报, 2017, 51(02): 186-192.
[7] 陈震, 潘尔顺*. 基于退化数据的高可靠性产品贝叶斯分类决策. 上海交通大学学报, 2017, 51(01): 76-81.
[8] 潘尔顺*, 陈震. 高可靠性产品退化建模研究综述. 工业工程与管理, 2015, 20(06): 1-6.