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서지반출
Proposed Neural Network Approach for Monitoring Plant Status in Korean Next Generation Reactors
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  • Proposed Neural Network Approach for Monitoring Plant Status in Korean Next Generation Reactors
  • Proposed Neural Network Approach for Monitoring Plant Status in Korean Next Generation Reactors
저자명
Varde. P.V.,Hur. Seop,Lee. D.Y.,Moon. B.S.,Han. J.B.
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2003년|3권 1호|pp.112-120 (9 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.