报告内容摘要：

Model-based and data-driven FDI (Fault detection and isolation) is an active research field in control engineering and theory. In the past decades, powerful FDI methods have been developed using control theoretical and mathematical tools. In this talk, some potential applications of advanced control theoretical FDI methods to condition monitoring, which is widely accepted in industry in dealing with fault diagnosis in mechanical systems, will be addressed.

报告人简介：

Professor Steven X Ding received Ph.D. degree in electrical engineering from the Gerhard-Mercator University of Duisburg, Germany, in 1992. From 1992 to 1994, he was a R&D engineer at Rheinmetall GmbH, Germany. From 1995 to 2001, he was a full-professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and served as vice president of this university during 1998 – 2000. Since 2001, he has been a full-professor of control engineering and the head of the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen. His research interests are model-based and data-driven fault diagnosis, fault tolerant systems and their application in industry with a focus on automotive systems and chemical processes.

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