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Proceedings Paper

Expert system that aids reactor-operations personnel in the event of a severe accident
Author(s): James A. Boshers; Lefteri H. Tsoukalas
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Paper Abstract

The Nuclear Engineering Department of the University of Tennessee is developing a prototype expert system to advise the operations personnel of a Nuclear power facility in the event of a severe accident. The development of the prototype, called SAIM (Severe Accident Information Advisor) is in a lisp environment using the expert system shell PC Plus by Texas Instruments. This is a rule based system using confidence factors and fuzzy logic to account for uncertainties. Verification of the system will be based on results of Severe Accident research and data from the Three Mile Island Unit 2 accident. The SAIM prototype is being developed to achieve three goals. It is designed to 1) monitor a Pressurized Water Reactor (PWR) facility for any indications of a severe accident (SA), 2) identify the mechanisms causing the SA, and 3) monitor the progression of the accident and alert operations personnel to any change in the severity of the accident. This paper includes a brief discussion of the Three Mile Island accident scenario which serves as background for developing the SAIM prototype. This paper also addresses the benefits of utilizing an expert system in this domain and then focuses on the design strategy used to accomplish the desired goals.

Paper Details

Date Published: 1 January 1990
PDF: 11 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21054
Show Author Affiliations
James A. Boshers, Univ. of Tennessee/Knoxville (United States)
Lefteri H. Tsoukalas, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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