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講壇題目：Explainable Fault Diagnosis: A Bridge Between Unsupervised and Supervised Learning-based Fault Diagnosis Approaches

主講人：陳宏田副教授

講座時間：2023年3月31日，10:00—11:00

講座地點：工5—404

主辦單位：研究生院

承辦單位：電子信息工程學院

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.

個人簡介：

陳宏田，上海交通大學副教授，IEEE會員，中國自動化學會會員。本碩畢業于南京師范大學，博士畢業于南京航空航天大學。2018年在德國先進控制與復雜系統研究所做訪問學者。2019年至2023年為加拿大Alberta大學博士后。主要研究方向為數據驅動技術、人工智能、量子計算、分布式系統等及其在高速列車、海陸空系統的故障診斷應用。目前為止，發表英文專著2部，國際英文論文70余篇（IEEE匯刊40余篇）、授權與受理國家專利8項。主持、參與國家級和省部級項目6項。獲得中國自動化學會優秀博士論文獎、江蘇省優秀博士論文獎、工信部創新特等獎（全校第一名），群星創新大獎、IEEE RCAE青年科學家獎等多項個人獎與團體獎。目前為IEEE Transactions on Instrumentation and Measurement、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Artificial Intelligence等國際期刊編委、客座編委。受邀作為組織主席，舉辦RCAE 2022國際會議與AMEE 2022國際會議；并承擔多個大會程序主席、專題主席等。