学　术

教师发展中心“学者论坛”活动特别邀请巴黎萨克雷大学曾志国教授来校作学术交流。具体安排如下，欢迎广大师生参加。

一、主　题：Empowering predictive maintenance with physics-informed machine learning and digital twins

二、主讲人：巴黎萨克雷大学 曾志国 教授

三、时　间：2024年7月19日（星期五）15:30-17:00

四、地　点：清水河主楼C1-213会议室

五、主持人：机械与电气工程学院 刘宇 教授

六、内容简介：

Predictive maintenance has become a key enabling technology for today’s industry. Recent advancement in deep learning has created great opportunities for data-driven predictive maintenance. However, the data-driven methods have to rely on large amount of failure data with labels to train deep learning models, which are often too expensive and time-consuming to collect in practice. Furthermore, the model lacks explainability and generalizes poorly on unseen data. In this talk, we discuss some of our recent work aiming at addressing the limitations of data-driven approaches by enhancing them with physical knowledge and digital twins. In the first part of this talk, we present a two-phase physics-informed deep learning architecture to integrate physical knowledge for RUL prediction. In the second part of this talk, we present a new framework for developing deep learning models for fault diagnosis based on digital twin. The results showed that the deep learning model trained by digital twins is able to accurately diagnose the locations and modes of 13 faults/failure from 4 different motors.

七、主讲人简介：

Professor Zhiguo ZENG received the Ph.D. degree in reliability engineering from Beihang university in 2016. He joined CentraleSupélec, Université Paris-Saclay, and became a full professor in 2023. His research focuses on the characterization and modeling of the failure/repair/maintenance behavior of components, complex systems and their reliability, maintainability, prognostics, safety, and security. Dr. ZENG is an author/co-author of more than 100 papers in highly recognized international journals and conferences. He is editorial board member of International Journal of Data Analysis Techniques and Strategies, and the leading guest editor of the special issue on “Dependent failure modeling” of the journal Applied Science. 

八、主办单位：教师发展中心

　　承办单位：机械与电气工程学院 经济与管理学院