陈岳剑 - 同济大学 - 铁道与城市轨道交通研究院

个人简介

特聘研究员，博导，上海市领军人才。博士毕业于加拿大阿尔伯特大学机械工程专业，师从Ming J. Zuo教授。主要研究方向包括信号分析与处理、人工智能、预测与健康管理、机器视觉、可靠性分析、基于可靠性的设计优化。(曾)担任Mechanical Systems and Signal Processing 、Reliability Engineering and System Safety、Engineering Applications of Artificial Intelligence客座编辑，APARM2020 Vancouver大会秘书、IEEE PHM2020 Shanghai、IEEE PHM2021 Nanjing 、IEEE PHM2022 Yantai项目委员会成员。工作经历 11/2021-今: 同济大学，铁道与城市轨道交通研究院，特聘研究员 07/2020-08/2021: 阿尔伯塔大学，博士后，导师: Ming J. Zuo 10/2019-12/2019:新南威尔士大学，青年访问学者，导师: Zhongxiao Peng, Bob Randall, Pietro Borghesani 01/2019-04/2019:麦克文大学，兼职讲师科研项目 05/2022-05/2023:《融合物理信息的循环神经网络故障检测方法》，上海市多网多模式协同创新中心-子项目，主持 05/2022-05/2025:《时变工况下齿轮箱故障诊断的时间序列方法研究》，上海市科委启明星杨帆专项，编号22YF1450500，主持 01/2022-12/2024:《轨道交通关键部件故障诊断预测与健康管理》，上海市委组织部第12批次上海市领军人才（海外）青年资助，主持 01/2021-12/2021:《风力发电机关键旋转部件的智能故障诊断》, 石油天然气装备教育部重点实验室&宏华集团联合基金, 编号OGE202101-08，主持 04/2017-09/2023:《Decision support system for improved construction and maintenance of nonelectrical infrastructure for energy》，加拿大Future Energy System (FES) – Canada First Research Excellence Fund (CFREF)，FES-T11-P01，参与 04/2017-09/2023:《Wind farm operation and grid integration》，加拿大Future Energy System (FES) – Canada First Research Excellence Fund (CFREF)，编号FES-T14-P02，参与 09/2016-05/2020:《Reliability Assurance Methodology Incorporating Advanced Diagnostics and Prognostics》， NSERC Discovery Grant，编号RGPIN-2015-04897，参与 10/2019- 12/2019:《Fault Detection and Severity Assessment for Gearboxes under Random Speed Variation》, Mitacs Globallink Program-Australia，编号IT15293，参与 01/2017- 07/2017:《电力关键设备的退化评估》, ENMAX & Mitacs Accelerate Program，编号IT09089，参与获奖上海市领军人才（青年），2021 国际PHM数据分析竞赛，第三名，2019 Sadler机械工程奖学金，2019 阿尔伯塔大学研究生展览，最佳演讲者，2019 阿尔伯塔未来科技创新奖学金，2017 研究生国家奖学金，2014 研究生数学建模竞赛，全国二等奖，2013 大学生电子设计竞赛，全国二等奖，2011

研究领域

信号分析与处理、人工智能、预测与健康管理、机器视觉、可靠性分析、基于可靠性的设计优化

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Journal Papers Yuejian Chen, Yizhao Li*, Gang Niu, Ming J. Zuo “Offline and Online Measurement of the Geometries of Train Wheelsets: A Review” IEEE Transactions on Instrumentation and Measurement, vol. 71, 3205691, 2022. Xiaowen Yao, Zongyi Xing, Andong Sheng, Yuejian Chen*, “An Image-Based Online Monitoring System for Pantograph Wear and Attitude” IEEE Transactions on Instrumentation and Measurement, vol.71, 5013812, 2022. Yuejian Chen, Meng Rao, Ke Feng, and Ming J. Zuo*, “Physics-informed LSTM hyperparameters selection for gearbox fault detection”, Mechanical Systems and Signal Processing, vol.171, p.108907, 2022. Yuejian Chen, Ming J. Zuo*, “A sparse multivariate time series model-based fault detection method for a gearbox under variable speed condition” Mechanical Systems and Signal Processing, vol. 167, 108539, 2022. Liangqi Wan, Lihan Ouyang, Tianyu Zhou, and Yuejian Chen*, “An improved reliability-based robust design optimization method using Bayesian seemingly unrelated regression and multivariate loss function”, Structural and Multidisciplinary Optimization, vol.65(2), pp. 1-16, 2022. Yifan Li, Yaocheng Yang, Yuejian Chen*, Zaigang Chen, “Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions” ISA Transactions, vol. 119, pp. 172-183, 2022. Yuejian Chen, Stephan Schmidt, Stephan Heyns, and Ming J. Zuo*, “A time series model-based method for gear tooth crack detection and severity assessment under random speed variation,” Mechanical Systems and Signal Processing, vol.156, 107605, 2021. Yuejian Chen, Xihui Liang, and Ming J. Zuo*, “An improved singular value decomposition-based method for gear tooth crack detection and severity assessment,” Journal of Sound and Vibrations, vol.468, 115068, 2020. Yuejian Chen, Xihui Liang, and Ming J. Zuo*, “Sparse time series modeling of the baseline vibration from a gearbox under time-varying speed condition,” Mechanical Systems and Signal Processing, vol.134, 106342, 2019. Liangqi Wan, Hongzhuan Chen, Linhan Ouyang, and Yuejian Chen*, “A new ensemble modeling approach for reliability-based design optimization of flexure-based bridge-type amplification mechanisms”, The International Journal of Advanced Manufacturing Technology, vol.106, no. 1-2, pp.47-63, 2019. Booker Chapters Yuejian Chen, Xihui Liang, Ming J. Zuo*. “Time series modeling of non-stationary vibration signals for gearbox fault diagnosis.” Advances in Performability Engineering (Eds. Krishna B Misra), Springer London. pp.337-354, 2020. Conference Papers Yuejian Chen, Ke Feng, Robert B. Randall, Pietro Borghesani, and Ming Zuo*, “Use of Autoregressive Conditional Heteroskedasticity Model to Assess the Tooth Surface Roughness of a Gearbox”. The 9th Asia-Pacific International Symposium on Advanced Reliability and Maintenance (APARM 2020), Vancouver, Canada, August 20-23, 2020. 5 pages. (Best Paper Nomination) Yuejian Chen, Qing Li, Dongdong Wei, and Ming Zuo*, “A sparse FP-VAR model for representing multichannel non-stationary baseline vibration signals from a gearbox”. The 9th Asia-Pacific International Symposium on Advanced Reliability and Maintenance (APARM 2020), Vancouver, Canada, August 20-23, 2020. 6 pages. Yuejian Chen, and Ming Zuo*, “Early gear tooth crack detection based on singular value decomposition”. IEEE International Conference on Prognostics and Health Management, San Francisco, USA, pp.1-6, June 17-19, 2019. Yuejian Chen, Xihui Liang, and Ming Zuo*, “Time series modeling of vibration signals for a gearbox under varying speed and load condition”. IEEE International Conference on Prognostics and Health Management, Seattle, Washington, USA, pp.1-7, June 11-13, 2018. Yuejian Chen, Xihui Liang, and Ming Zuo*, “An auto-regression model for tooth crack detection in a gearbox considering load variations”. The annual conference of Canadian Machinery Vibration Association, Edmonton, Alberta, Canada, October 25-27, 2017. 15 pages. (Best Student Paper Award, Not Published)