Automatic modelling for diagnosis.

Abstract

Much of the past work on fault diagnosis did not pay enough attention to model construction and its important role in aiding problem solving. It was generally accepted that a model was available or was assumed to be present in a certain format before starting the diagnosis process. However in practice a model which can be constructed from an engineering or commercial system is often different from the model on which diagnostic algorithms have been developed. Our paper aims at filling this gap between the model construction and model-based fault diagnosis, providing a framework to integrate them coherently

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