20 July 2001 Integrated approach to diagnosis of complex hybrid systems
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Abstract
This paper presents a model-based approach to diagnosis of hybrid systems. We have developed a combined qualitative-quantitative diagnosis scheme that uses hybrid models of the system and a model of the supervisory controller. By applying the supervisory controller model to diagnostic analysis we significantly cut down on the complexity in tracking behaviors, and in generating and refining hypotheses across discrete mode changes in the system behavior. We present the algorithms for hybrid diagnosis: hypotheses generation by back propagation, and hypotheses refinement by forward propagation and parameter estimation. Example scenarios demonstrate the effectiveness of this approach.
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Sriram Narasimhan, Gautam Biswas, Gabor Karsai, "Integrated approach to diagnosis of complex hybrid systems", Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); doi: 10.1117/12.434247; https://doi.org/10.1117/12.434247
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