Abstract
In this paper a generic method for fault detection and isolation (FDI) in manufacturing systems considered as discrete event systems (DES) is presented. The method uses an identified model of the controlled process to be monitored which is built on the basis of observed fault free behavior. A special term of accuracy is motivated that helps to identify an efficient model. This paper gives an overview of the method that consists of the identification and the use of the identified model for fault detection and isolation. Furthermore, the theoretical framework of the method will be explained. Experiences of an industrial application are described to show the relevance of the method for large scale manufacturing systems in operation.
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