陈震 - 上海交通大学 - 机械与动力工程学院

个人简介

教育背景 2014.09-2019.07 上海交通大学，机械工程 (工业工程)，博士 2010.09-2014.06 北京航空航天大学，质量与可靠性工程，本科工作经历 2022.07-至今上海交通大学，机械与动力工程学院，助理教授、博导 2021.06-2022.06 意大利米兰理工大学，能源学院，博士后 2019.07-2022.06 上海交通大学，机械与动力工程学院，博士后出访及挂职经历 2021.06-2022.06 意大利米兰理工大学，能源学院，博士后科研项目 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：动态载荷下锂电池组健康状态评估与可靠性优化，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，学术骨干软件版权登记及专利 [1] 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. [2] 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). 荣誉奖励 2021 上海市质量协会质量技术一等奖 2021 《工业工程与管理》期刊，优秀审稿人 2021 首届中国工程管理案例大赛(华东赛区)二等奖，指导教师 2021 首届上海交大MEM案例大赛一等奖，指导教师 2020 上海交通大学“海外博士后师资储备项目”资助 2019 联合汽车电子-上海交大校企合作“优秀博士论文”培育计划资助 2018 博士生研究生国家奖学金

研究领域

性能退化建模与故障预测、系统可靠性评估与优化、数据融合 1. 可靠性工程、性能退化过程建模、不确定性分析 2. 状态监控、故障诊断、故障预测与健康管理 3. 复杂装备与智能制造系统可靠性建模、评估及优化设计 4. 物理信息机器学习与深度学习、多源数据融合

近期论文

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SCI期刊 [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 [5] 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. [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.

学术兼职

[1] 国际电气和电子工程师学会(IEEE)会员 [2] 中国机械工程学会(CMES)会员 [3] 中国运筹学会会员 [4] 期刊审稿人：IEEE Transactions on Reliability, Reliability Engineering & System Safety, Mechanical Systems and Signal Processing，IEEE Transactions on Automation Science and Engineering, International Journal of Production Research, Computers and Industrial Engineering等