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Proceedings Paper

Model-Based Analysis System For Tracking Of Limiting Conditions For Operation And Surveillance Requirements In Power Plants
Author(s): M. Ragheb; M. Abdelhai
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Paper Abstract

A Model-Based Production-Rule Analysis System is developed for the tracking of the Limiting Conditions for Operation (LCOs) and the Surveillance Requirements in power plants. These LCOs and Surveillance Requirements are delineated in Power Station's Technical Specifications. The system is constructed as a Production-Rule Analysis System having the same structure as the E-Mycin system with a Natural Language Interface. The Goal-Tree constituting the Knowledge-Base is generated and is searched by the Inference Engine using Backward-Chaining with a Deduction-Oriented Antecedent-Consequent Logic. The functioning of the system is demonstrated in the identification and tracking of the LCOs and Surveillance Requirements and the associated applicable actions for maintaining the operability status of the components in the plant reactivity control systems.

Paper Details

Date Published: 11 May 1987
PDF: 8 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940612
Show Author Affiliations
M. Ragheb, University of Illinois at Urbana-Champaign (United States)
M. Abdelhai, University of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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