An interactive intelligent knowledge-based system for fault diagnosis with interpretation and updating facilities
Ain Shams University, Faculty of Engineering, Scientific Bulletin • 1994
Publication Information
Authors
Raafat A. El-Kammar, Ahmed F. El-Shikh, Mazen M. Selim
Keywords
Not Available
Journal
Ain Shams University, Faculty of Engineering, Scientific Bulletin
Publisher
Not Available
Volume
29
Issue
3
Pages
113-134
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Fault diagnosis is one of the most important application domains of expert systems. Most of the diagnostic expert systems have concentrated on building systems for simulations diagnosis and have overlooked the user's need for the interpretation of the reasoning lying behind the decision. In the architecture of the system in concern, the knowledge-base is separated from the logical inference engine accordingly a shell is created and can be used as an addon to any existing knowledge-base without altering its logical inference engine. The proposed expert system features have also the facility of updating the knowledge-base in use by removing or adding rules, generating appropriate tests to support the diagnostic system, and providing extensive explanations. In this paper an intelligent knowledge-based system is developed dedicated for troubleshooting in the IBM PC, in which the proposed expert system shell implemented is through the PROLOG programming language
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