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Proceedings Paper

Use Of Neural Networks To Identify Transient Operating Conditions In Nuclear Power Plants
Author(s): Robert E. Uhrig; Zhichao Guo
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Paper Abstract

A technique using neural networks as a means of diagnosing specific abnormal conditions or problems in nuclear power plants is investigated and found to be feasible. The technique is based on the fact that each physical state of the plant can be represented by a unique pattern of instrument readings, which can be related to the condition of the plant. Neural networks are used to relate this pattern to the fault or problem.

Paper Details

Date Published: 21 March 1989
PDF: 7 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969335
Show Author Affiliations
Robert E. Uhrig, Oak Ridge National Laboratory and University of Tennessee (United States)
Zhichao Guo, University of Tennessee (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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