Use Of Neural Networks To Identify Transient Operating Conditions In Nuclear Power Plants

Robert E. Uhrig; Zhichao Guo

doi:10.1117/12.969335

21 March 1989 Use Of Neural Networks To Identify Transient Operating Conditions In Nuclear Power Plants

Robert E. Uhrig, Zhichao Guo

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969335
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

Robert E. Uhrig and Zhichao Guo "Use Of Neural Networks To Identify Transient Operating Conditions In Nuclear Power Plants", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969335

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