Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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Supporting model-based diagnosis with explanation-based learning and analogical inferences

1992 , Specht, D. , Weiß, S.

This paper introduces two learning approaches used in different phases of a diagnostic system's life cycle. First, an initial knowledge-base is built using an explanation-based learning approach which generates diagnostic rules. A functional model of the object to be diagnosed constitutes the necessary domain knowledge. Later when the system is operational, analogical inferences which utilize taxonomic information continue to improve its diagnostic performance. In this way knowledge which is 'objectivized' by the model can be acquired, greatly improving the performance of a pure model-based diagnosis while preserving the advantages of the model-based approach.

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INSPEKTOR - ein wissensbasiertes Diagnosesystem für die Instandhaltung

1989 , Weiß, S. , Specht, D.

Wissensbasierte Systeme haben als erste industriell verwertbare Anwendung von Techniken der Künstlichen Intelligenz in den letzten Jahren große Beachtung gefunden. Dieses Interesse wird durch die Erkenntnis gelenkt, daß technisches Wissen in einer hochindustrialisierten Gesellschaft immer mehr als Produktions- und Produktivitätsfaktor gilt.

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Model-based learning for diagnostic tasks

1992 , Weiß, S. , Specht, D.

Despite many years of research, the two problems of knowledge acquisition and maintenance of a growing knowgledge base while preserving consistency are still largely unsolved. This paper introduces an approach which supports the acquisition of diagnostic rules by learning from examples representing the experiences of domain experts. Using a model of the system to be diagnosed, these heuristic rules are consistency checked before they are added to the knowledge-base. Moreover, this model constitutes a base for learning by transforming analogous cases into actual problems when the system is operational.

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Integration of learning approaches for maintenance tasks

1991 , Weiß, S. , Specht, D. , Spur, G.

This paper introduces the concept of a knowledge-based diagnostic tool to be applied in production. A learning module facilitates the knowledge acquisition process. To build up an initial knowledge-base, an explanation-based learning approach generates rules which are based on a functional model of the manufacturing system to be diagnosed. While the system is applied in the production process, the learning module continues to improve the system's diagnostic capabilities using analogical inference and a similarity-based learning method. The model is also employed here to control these processes.

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