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Focusing on independent diagnosis problems

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Abstract

This paper presents an approach which scales up current model-based diagnosis techniques to large, unstructured systems. It is based on the fact that it is sufficient to consider only a small part of a system in order to determine those components which cause its malfunction. By identifying minimal substructures of the system whose diagnoses are independent of the rest we reduce the number of diagnoses to be investigated and restrict behavior prediction to that part of the system's structure which is necessary to discriminate among competing diagnoses. Hence, our approach has the potential to save computational costs significantly and therefore extends the applicability of model-based techniques.

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Freitag, H., Friedrich, G. Focusing on independent diagnosis problems. Ann Math Artif Intell 11, 329–349 (1994). https://doi.org/10.1007/BF01530749

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