A nuclear power plant expert system using artificial neural networks

  • Authors:

  • Mal rey Lee;Hye-Jin Jeong;Young Joon Choi;Thomas M. Gatton

  • Affiliations:

  • School of Electronics & Information Engineering, ChonBuk National University, JeonJu, ChonBuk, Korea;School of Electronics & Information Engineering, ChonBuk National University, JeonJu, ChonBuk, Korea;Nuclear Safety Regulation Division, Korea Institute of Nuclear Safety, Taejon, South Korea;School of Engineering and Technology, National University, La Jolla, CA

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
  • Year:
  • 2006

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Abstract

In this study, ANNs are introduced to act as a bridge between detailed computer codes and compact simulators with an aim to improve the capabilities of compact expert system. The ANNs compensate for the inaccuracies of a compact expert system occurring from simplified governing equations and a reduced number of physical control volumes, and predict the critical parameter usually calculated from the sophisticated computer code. To verify the appli-cability of the proposed methodology, computer simulations are undertaken for loss of flow accidents (LOFA).