Emerging Data-Driven Methods in Smart Maintenance
智能维修中新兴的数据驱动方法
This special session focuses on the recent advances of data-driven methods in reliability assessment, prognostics and health management, predictive maintenance and industrial applications.
本分会场主要讨论可靠性评估、故障预测与健康管理、预测性维修及工业应用中新兴的数据驱动方法。
The list of topics includes but not limited to:
• Imbalanced learning and few-shot learning in fault diagnosis 故障诊断中的不平衡学习和少样本学习
• Physics-informed and physics-guided learning in prognostic and health
management 故障预测与健康管理中的物理信息融合学习和物理信息引导学习
• Graph machine learning in system-level prognostic and health management
系统级故障预测与健康管理中的图机器学习方法
• Applications of machine learning in reliability and maintainability
机器学习在可靠性和维修性中的应用
• Sequential decisions models in maintenance optimization 基于序贯决策模型的维修优化策略
Chair: Yingjun Deng, Tianjin University, China
Yingjun Deng is a lecturer at the National Center for Applied Mathematics, Tianjin University. He received his bachelor's (2009) and master's (2011) degrees from Harbin Institute of Technology and his PhD (2015) from the Troyes University of Technology, France. He has been engaged in research work at the University of Waterloo in Canada (2015-2016) and Eindhoven University of Technology in the Netherlands (2018-2019). His research interests include predictive maintenance, machine learning and applied statistics. He has published research papers in Reliability Engineering & System Safety, IEEE Transactions on Reliability, IEEE Internet of Things Journal, Science China Information Sciences, ECML, ICASSP and other journals. (E-Mail: yingjun.deng@tju.edu.cn)
邓英俊，天津大学国家应用数学中心讲师。其于哈尔滨工业大学获学士(2009)和硕士(2011)，法国特鲁瓦技术大学获博士学位(2015)。先后在加拿大滑铁卢大学(2015-2016)，荷兰艾因霍芬理工大学从事研究工作(2018-2019). 主要研究领域为预测性维修、机器学习及应用统计。其在Reliability Engineering & System Safety，IEEE Transactions on Reliability, IEEE Internet of Things Journal, Science China Information Sciences, ECML, ICASSP等期刊会议发表多篇研究论文.
Chair: Guanqun Zhang, Aero Engine Academy of China, China
Guanqun Zhang is an engineer at Aero Engine Academy of China. She graduated from the School of Mathematical Sciences, Jilin University with a B.S. degree in 2016, and from the Center for Combinatorics, Nankai University with a Ph.D. degree in 2021. Her current research area is aero-engine health management and control technology, and she is mainly engaged in the research of efficient data-driven aero-engine fault diagnosis algorithms that are friendly to edge devices.
张冠群，中国航空发动机研究院工程师。于2016年毕业于吉林大学数学科学学院，获理学学士学位；2021年毕业于南开大学组合数学中心，获理学博士学位。目前研究领域为航空发动机健康管理与控制技术，主要从事边缘设备友好的高效数据驱动航空发动机故障诊断算法研究。
Chair: Xiujie Zhao, Tianjin University, China
Xiujie Zhao is an associate professor with the College of Management and Economics, Tianjin University, Tianjin, China. His research interests include accelerated reliability testing, degradation modeling, maintenance optimization, and design of experiments. He received the BE , MS and PhD degree in industrial engineering from Tsinghua University, Pennsylvania State University, and City University of Hong Kong in 2013, 2015 and 2018, respectively. He has published over 30 papers in IEEE Transactions on Reliability, IISE Transactions, European Journal of Operational Research, Journal of Quality Technology, Reliability Engineering and System Safety, among others. (E-mail: xiujiezhao@tju.edu.cn)
赵秀杰，天津大学管理与经济学部工业工程系副教授。分别于2013年、2015年和2018年获得清华大学、宾夕法尼亚州立大学、香港城市大学工业工程专业学士、硕士与博士, “北洋学者英才计划”入选者。主要研究领域为可靠性与质量管理、实验设计、质保策略优化、系统维修优化与工业统计。曾在IISE Transactions，European Journal of Operational Research，Journal of Quality Technology，Reliability Engineering & System Safety，IEEE Transactions on Reliability等国际期刊上发表论文30余篇。
Submission Portal
If you are interested in the special session, please submit
your paper or abstract here
https://www.zmeeting.org/submission/srse2025 and choose special session 9.
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