Please use this identifier to cite or link to this item: doi:10.22028/D291-40900
Title: MOLTKE : an integrated workbench for fault diagnosis in engineering systems
Author(s): Althoff, Klaus-Dieter
Maurer, Frank
Wess, Stefan
Traphöner, Ralph
Language: English
Year of Publication: 1992
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: We present the MOLTKE workbench for technical diagnosis, a fully implemented knowledge acquisition environment which has been tested on several real world applications (e.g. fault diagnosis of CNC machining centers). MOLTKE combines different techniques of second generation expert systems (qualitative, case-based, inductive reasoning). Thus, it is able, to process knowledge from the three main sources of technical diagnosis tasks: knowledge about the function and behavior of the machine (technical model), abstract diagnostic knowledge from the expert (mental model), as well as episodic knowledge of service technicians (cases).
Link to this record: urn:nbn:de:bsz:291--ds-409002
hdl:20.500.11880/37703
http://dx.doi.org/10.22028/D291-40900
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 92,16
Date of registration: 24-May-2024
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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