2024-2027   国家科技重大专项：xxxxx 加工机床研制与验证示范线，课题“智能产线运维与调度方法研究”，技术负责人

2025-2028   国家自然科学基金联合基金集成项目：航发机匣成组混线加工优质制造基础理论与方法，学术骨干

2024-2025   上海商用飞机系统工程科创中心联合研究基金项目：民机飞控系统关键设备可靠性设计与分析，负责人

2023-2026   上海市“科技创新行动计划”自然科学基金项目面上项目：基于不平衡信息流融合的工业机器人可解释性状态监控与寿命预测，负责人
2022-2025   上海交通大学双一流建设科研启动费项目：动态载荷下锂离子电池健康状态评估与异常识别方法研究，负责人
2022-2025   国家重点研发计划项目(2022YFF0605700)：国产高端数控机床智能组线与可靠性技术标准研究及应用，课题三“面向高服役可靠性的装备故障协同诊断与主动维护技术”，子课题负责人
2021-2023   国家自然科学基金青年项目(72001138)：基于速率-波动相关效应的多阶段退化建模与剩余寿命预测研究，负责人
2021-2023   国家重点研发计划项目(2020YFB1711100)：钢铁全流程多工序动态协同运行优化技术及示范应用，课题三“基于多维信息融合的新型复杂故障智能预测与健康管理”，学术骨干
2021-2024   国家自然科学基金面上项目(72071127)：考虑多源衰退的自动化码头换电式AGV维护与调度联合决策，学术骨干
2021-2022   中国航发商用航空发动机公司项目：民用航空发动机可靠性验证方法和验证模型研究，负责人
2020-2021   中国博士后基金面上项目(2019M661532)：多阶段退化失效系统建模与健康预测方法研究，负责人
2021-2022   上海商用飞机系统工程科创中心联合研究基金二期项目（重点资助）：飞机级综合故障诊断及修复技术，学术骨干
2019-2020   上海商用飞机系统工程科创中心联合研究基金一期项目：飞机级综合故障诊断及修复技术，学术骨干
2015-2018   国家自然科学基金面上项目(51475289)：样本受限下产品广义退化路径建模及分类优化，学术骨干

SCI期刊

[1]     Zhen Chen, Weijie Liu, Di Zhou, Tangbin Xia, Ershun Pan. Inconsistency identification for Lithium-ion battery energy storage systems using deep embedded clustering. Applied Energy, 2025, 388, 125677.

[2]     Zhen Chen, Zirong Wang, Wei W, Tangbin Xia and Ershun Pan*. Neural Representation-Based Wiener Process with Meta-Learning for Battery RUL Prediction Under Time-Varying Degradation Rate. IEEE Transactions on Instrumentation and Measurement, 2025, 74, 1-13.

[3]     Yue Huang, Zhen Chen*, Zhaoxiang Chen, Di Zhou, Ershun Pan. Lightweight defect detection network based on steel strip raw images. Engineering Applications of Artificial Intelligence, 2025, 114, 110179.

[4]     Wei Wu, Zhen Chen*, Weijie Liu, Di Zhou, Tangbin Xia, Ershun Pan. Battery health prognosis in data-deficient practical scenarios via reconstructed voltage-based machine learning. Cell Reports Physical Science, 2025, 6(2), 102442.

[5]     Mengzi Zhen, Zhen Chen*, Biao Lu, Zhaoxiang Chen, Ershun Pan. Net benefit-oriented condition-based maintenance for lithium-ion battery packs in SGLS systems: Combining degradation updating and decision-making. Computers & Industrial Engineering, 2025, 400, 110850.

[6]     Zhen Chen, Weijie Liu, Tangbin Xia, Ershun Pan*. Consistency Evaluation for Lithium-Ion Battery Energy Storage Systems Based on Approximate Low-Rank Representation and Hypersphere Concentration. IEEE Transactions on Industrial Electronics, 2025, 72(5), 4811.

[7]     Wei Wu, Zhen Chen, Weijie Liu, Ershun Pan*. Correlation based-graph neural network for health prognosis of non-fully charged and discharged lithium-ion batteries. Journal of Power Sources, 2025,629, 235987.

[8]     Yaping Li, Zhen Chen, Tangbin Xia, Ershun Pan*, Sifeng Liu. Integrated optimization for X-bar control chart, preventive maintenance and production rate. Reliability Engineering & System Safety. 2025,253, 110498.

[9]     Ting Zhu, Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan*. Spatial-Temporal Feature Extraction Network for Online Aeroengines Remaining Useful Life Prediction. IEEE Sensors Journal. 2024, 24(24), 41731-41739.

[10]  Zhaoxiang Chen, Zhen Chen, Di Zhou, Ershun Pan*. Joint optimization of opportunistic maintenance and speed control for continuous process manufacturing systems considering stochastic imperfect maintenance. Computers & Industrial Engineering. 2024,198,110685

[11]  Zhen Chen, Zirong Wang, Wei Wu, Tangbin Xia, Ershun Pan^*. A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions. Reliability Engineering & System Safety. 2024,252, 110471.

[12]  Yujie Wei, Zhen Chen, Zhi-Sheng Ye, Ershun Pan^*. High-dimensional process monitoring under time-varying operating conditions via covariate-regulated principal component analysis. Reliability Engineering & System Safety. 2024, 252, 110440.

[13]  Rourou Li, Tangbin Xia*, Feng Luo, Yimin Jiang, Zhen Chen, Lifeng Xi. Hybrid physics-embedded recurrent neural networks for fault diagnosis under time-varying conditions based on multivariate proprioceptive signals. Advanced Engineering Informatics. 2024, 62(C), 102851.

[14]  Ting Zhu, Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan^*. Adaptive staged remaining useful life prediction of roller in a hot strip mill based on multi-scale LSTM with multi-head attention. Reliability Engineering & System Safety. 2024, 248, 110161.

[15]  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. 2024,127,107389.

[16]  Shuo Gao, Tangbin Xia, Ge Hong, Ying Zhu, Zhen Chen, Ershun Pan, Lifeng Xi^*. An inspection network with dynamic feature extractor and task alignment head for steel surface defect. Measurement. 2024, 224, 113957.

[17]  Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan^*. Online unsupervised optimization framework for machine performance assessment based on distance metric learning[J]. Mechanical Systems and Signal Processing, 2024, 206: 110883.

[18]  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. 2024, 73, 1–12.

[19]  Tangbin Xia, Lei Cao, Yuhui Xu, Kaigan Zhang, Zhen Chen, Ershun Pan, Lifeng Xi^*. Multi-level maintenance and inventory joint optimization for a k-out-of-n hyper-system considering the selection of suppliers with incentive discount policies. Reliability Engineering & System Safety. 2024, 241,109700.

[20]  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, 2024, 127: 107389.

[21]  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.

[22]  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.

[23]  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.

[24]  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.

[25]  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.

[26]  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.

[27]  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.

[28]  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.

[29]  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.

[30]  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.

[31]  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, 73(2): 1353-1367.

[32]  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.

[33]  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.

[34]  Biao Lu^*, Zhen Chen, Xufeng Zhao. Data-driven dynamic adaptive replacement policy for units subject to heterogeneous degradation. Computers & Industrial Engineering, 2022, 171, 108478.

[35]  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.

[36]  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.

[37]  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.

[38]  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.

[39]  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.

[40]  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.

[41]  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.

[42]  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.

[43]  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.

[44]  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.

[45]  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.

[46]  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.

[47]  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.

[48]  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.

[49]  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.

[50]  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.

[51]  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.

国际会议论文/报告

[1]     Linman Li, Yuqing Li, Zhen Chen, Ran Liu, Ershun Pan^*, AGV Scheduling Problem in Automated Container Terminals with Time Window Under Transfer Platform Capacity Constraint. 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 2023, pp. 0220-0224. (Best paper)

[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.

[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.

[1] 王汉禹，陈震，周笛，陈兆祥，潘尔顺. 基于非线性退化的轧辊剩余寿命预测实现方法. 202210248198 .X, 2022.03.14
[2] 陈震,楼林,汪含,袁博,郝澜宇,潘尔顺. 飞机装配质量缺陷辅助决策方法[P]. CN113610112A, 2021-11-05.
[3] 夏唐斌,孙博文,陈震,宋亚,潘尔顺,奚立峰. 面向租赁化生产的服务外包机会维护方法.2021年8月27日.(专利授权号: ZL 2017 1 1230233.0).