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Model-Based SystemsWork on model-based systems and qualitative reasoning at the Computer Science Institute (Chair IX) of the Technical University of Munich started when Peter Struss joined the faculty in 1992. He had been working in AI since 1978 and on research in that particular area since 1981 at Siemens Corp. Research and Development. A basic principle of our work is to always carry out and evaluate basic research in the context of concrete case studies, usually provided by some industrial problem solving task.
Group DetailsSystems for automated fault analysis, diagnosis, testing, and repair of technical systems The group has developed tools and applications dedicated to supporting diagnosis of real physical system. This includes the automated generation of diagnostic hypotheses, proposed tests and repair actions. This is done based on a component-oriented behavior model of the respective device. Models are also used to support activities during design, such as diagnosability analysis, sensor placement, and Failure Mode Effect Analysis (FMEA), a method used for the identification of potential error types and their effects on the examined object and to classify them with respect to criticality or diagnosability. In the framework of several European and national projects, we have been collaborating with other academic partners and companies, in particular with car industries. Ref. Struss, P.: Modellbasierte Systeme und Qualitative Modellierung. Erschienen in: Görz, G., Rollinger, C., Schneeberger, J. (Hrsg.): Handbuch der Künstlichen Intelligenz, 3. Auflage, Oldenbourg Verlag, München, 2000.
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