SCI期刊论文
[26] 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, doi: 10.1016/j.ress.2023.109162.
[25] 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, 2022, doi: 10.1109/TR.2022.3215757.
[24] 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, 2022, doi: 10.1080/00207543.2022.2137595.
[23] 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.
[22] 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, 2022, doi: 10.1016/j.ress.2022.108905.
[21] Biao Lu*, Zhen Chen, Xufeng Zhao. Data-driven dynamic adaptive replacement policy for units subject to heterogeneous degradation. Computers & Industrial Engineering, 2022, 171, 108478.
[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.
[19] 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.
[18] 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.
[17] 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.
[16] 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.
[15] 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, 2021, 71(1): 47-62.
[14] 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.
[13] 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.
[12] 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.
[11] 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.
[10] 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.
[9] 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.
[8] 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.
[7] 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.
[6] 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.
[5] 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.
[4] 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.
[3] 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.
[2] 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.
[1] 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
[4] 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.
[2] 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.
[1] 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
[8] 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.
[7] 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.
[6] 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.
[5] 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.
[4] 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.
[3] 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.
[2] 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.
[1] 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.
