报告题目：Explainable Fault Diagnosis: A Bridge Between Unsupervised and Supervised Learning-based Fault Diagnosis Approaches

报 告 人：上海交通大学 陈宏田 副教授

报告时间：2024年1月10日星期三下午14:30-16:00

报告地点：实验十九楼307会议室 / #腾讯会议：865-215-210

摘要：The increased complexity and intelligence of automation systems require the development of intelligent fault diagnosis (IFD) methodologies. By relying on the concept of a suspected space, this study develops explainable data-driven IFD approaches for nonlinear dynamic systems. More in detail, we parameterize nonlinear systems through a generalized kernel representation used for system modeling and the associated fault diagnosis. An important result obtained is a unified form of kernel representations, applicable to both unsupervised and supervised learning. More importantly, through a rigorous theoretical analysis we discover the existence of a bridge (i.e., a bijective mapping) between some supervised and unsupervised learning-based entities. Notably, the designed IFD approaches achieve the same performance by the use of this bridge. In order to have a better understanding of the results obtained, unsupervised and supervised neural networks are chosen as the learning tools to identify generalized kernel representations and design the IFD schemes; an invertible neural network is then employed to build the bridge between them. This report is a perspective talk, whose contribution lies in proposing and detailing the fundamental concepts for explainable intelligent learning methods, contributing to system modeling and data-driven IFD designs for nonlinear dynamic systems.

个人简介：陈宏田，现为上海交通大学副教授、博士生导师，国家级高层次青年人才、玛丽居里学者、浦江学者。于2023年入选前2%TOP科学家。本硕毕业于南师大，博士毕业于南京航空航天大学，2019年至2023年为加拿大Alberta大学博士后。主要研究方向为数据驱动技术、人工智能、量子计算、分布式系统等及其在高速列车、海陆空系统的故障诊断应用。目前为止，发表英文专著2部，Automatica与IEEE汇刊40余篇、授权与受理国家专利8项。主持、参与国际项目、国家级项目等10余项。获得中国自动化学会优秀博士论文奖、江苏省优秀博士论文奖、工信部创新特等奖（全校第一名）、IEEE RCAE青年科学家奖等多项个人奖与团体奖。目前为IEEE Transactions on Instrumentation and Measurement、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Artificial Intelligence等国际期刊编委、客座编委。受邀作为组织主席，举办RCAE 2022国际会议；并承担多个大会程序主席、联合主席等。