International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Proposed Neural Network Approach for Monitoring Plant Status in Korean Next Generation Reactors

  • Varde, P.V. (Korea Atomic Energy Research Institute) ;
  • Hur, Seop (Korea Atomic Energy Research Institute) ;
  • Lee, D.Y. (Korea Atomic Energy Research Institute) ;
  • Moon, B.S. (Korea Atomic Energy Research Institute) ;
  • Han, J.B. (Korea Atomic Energy Research Institute)
  • Published : 2003.06.01
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Abstract

This paper reports the development work carried out in respect of a proposed application of Neural Network approach for the Korean Next generation Reactor (KNGR) now referred as APR-1400. The emphasis is on establishing the methodology and the approach to be adopted towards realizing this application in the next generation reactors. Keeping in view the advantages and limitation of Artificial Neural Network Approach, the role of ANN has been limited to plant status or to be more precise plant transient monitoring. The simulation work carried out so far and the results obtained shows that artificial neural network approach caters to the requirements of plant status monitoring and qualifies to be incorporated as a part of proposed operator support systems of the referenced nuclear power plant.

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References

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