Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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Ein Assistenzsystem für die frühen Phasen der Produktentwicklung

1998 , Specht, D. , Kaufmann, U.

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Fördernde und hemmende Faktoren des QS-Wissenstransfers

1997 , Bäuerle, T. , Berger, K. , Brauer, J.-P. , Dörre, P. , Grabowski, S. , Hauer, R. , Kamiske, G.F. , Leutner, D. , Pfeifer, T. , Rhiem, S. , Schmidt, A. , Schnauber, H. , Specht, D. , Zink, K.J.

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Konnektionistische Ähnlichkeitsfunktionen für die fallvergleichende Lösungsfindung

1996 , Spur, G. , Specht, D. , Müller, M. , Studier, H.-P.

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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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Überbetrieblicher QS-Wissenstransfer

1997 , Berger, K. , Brauer, J.-P. , Grabowski, S. , Kamiske, G.F. , Schnauber, H. , Specht, D.

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Entwicklungskonzeptionen für das Werk Cottbus der DB AG. Abschlußbericht

1997 , Spur, G. , Adam, K.-D. , Specht, D.

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Knowledge engineering in manufacturing

1992 , Spur, G. , Specht, D.

Expert systems are gaining in development and usage throughout the world. Expert systems applications are particularly growing in number in engineering and manufacturing. The process of developing expert or knowledge-based systems is called knowledge engineering. This paper will address knowledge engineering in manufacturing.

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Publication

Qualitätslernen

1997 , Specht, D. , Berger, K. , Scheithauer, K.

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Der Beitrag des Werkzeugmaschinenbaus zur flexiblen Fertigungsautomatisierung in Deutschland

1996 , Haak, R. , Specht, D.

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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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