Similarity, uncertainty and case-based reasoning in PATDEX
- Patdex is an expert system which carries out case-based reasoning for the fault diagnosis of complex machines. It is integrated in the Moltke workbench for technical diagnosis, which was developed at the university of Kaiserslautern over the past years, Moltke contains other parts as well, in particular a model-based approach; in Patdex where essentially the heuristic features are located. The use of cases also plays an important role for knowledge acquisition. In this paper we describe Patdex from a principal point of view and embed its main concepts into a theoretical framework.
|Author:||Michael M. Richter, Stefan Wess|
|URN (permanent link):||urn:nbn:de:hbz:386-kluedo-3575|
|Serie (Series number):||SEKI Report (91,1)|
|Language of publication:||English|
|Year of Completion:||1999|
|Year of Publication:||1999|
|Publishing Institute:||Technische Universität Kaiserslautern|
|Tag:||Case-Based Reasoning; PATDEX|
The work presented herein was partially supported by the Deutsche Forschungsgemeinschaft,SFB 314:Artificial Intelligence - Knowledge-Based Systems, projects X6 and X9.
|Faculties / Organisational entities:||Fachbereich Informatik|
|DDC-Cassification:||004 Datenverarbeitung; Informatik|