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Proceedings Paper

Development Of Model-Based Fault-Identification Systems On Microcomputers
Author(s): Magdi Ragheb; Dennis Gvillo
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Paper Abstract

The development of Model-Based Production-Rule Analysis Systems for the identification of faults in Engineering Systems is discussed. Model-Based systems address the modelling of devices based on knowledge about their structure and behavior in contrast to Rule-Based systems which use rules based solely on human expertise. The exposed methodology uses the Fault-Tree Analysis technique for problem representation to generate Goal-Trees simulating the behavior of system components. Application of the methodology to a Knowledge-Base for the identification of the dominant accident sequences, consequences, and recommended recovery and mitigation actions for a Pressurized Water Reactor (PWR) is demonstrated. The accident sequences were generated using probabilistic risk analysis methods and analyzed with the Transient Reactor Analysis Code (TRAC). The Analysis System uses a backward-chaining deduction-oriented antecedent-consequent logic. Typical case results are given, and the aspects of using the methodology for Fault-Identification are discussed.

Paper Details

Date Published: 26 March 1986
PDF: 8 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964139
Show Author Affiliations
Magdi Ragheb, The University of Illinois at Urbana-Champaign (United States)
Dennis Gvillo, The University of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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