지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 723 - 730 (8page)
이용수
초록· 키워드
오류제보하기
Acquiring instrumentation signals generated from nuclear power plants (NPPs) is essential to maintainnuclear reactor integrity or to mitigate an abnormal state under normal operating conditions or severeaccident circumstances. However, various safety-critical instrumentation signals from NPPs cannot beaccurately measured on account of instrument degradation or failure under severe accident circumstances. Reactor vessel (RV) water level, which is an accident monitoring variable directly related toreactor cooling and prevention of core exposure, was predicted by applying a few signals to deep neuralnetworks (DNNs) during severe accidents in NPPs. Signal data were obtained by simulating the postulatedloss-of-coolant accidents at hot- and cold-legs, and steam generator tube rupture using modularaccident analysis program code as actual NPP accidents rarely happen. To optimize the DNN model for RVwater level prediction, a genetic algorithm was used to select the numbers of hidden layers and nodes. The proposed DNN model had a small root mean square error for RV water level prediction, and performedbetter than the cascaded fuzzy neural network model of the previous study. Consequently, theDNN model is considered to perform well enough to provide supporting information on the RV waterlevel to operators
목차
등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
Y. LeCun / 2015 / Deep Learning / Nature 521:436~444
D. Goldberg / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison-Wesley
M. Mitchell / 1996 / An Introduction to Genetic Algorithms / MIT Press
D. Rumelhart / 1986 / Learning representations by backpropagating errors / Nature 323:533~536
R. Henry / 2005 / MAAP4: Modular Accident Analysis Program for the LWR Power Plants, User’s Manual / Fauske and Associates Inc.
D. Goldberg / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison-Wesley
M. Mitchell / 1996 / An Introduction to Genetic Algorithms / MIT Press
D. Rumelhart / 1986 / Learning representations by backpropagating errors / Nature 323:533~536
R. Henry / 2005 / MAAP4: Modular Accident Analysis Program for the LWR Power Plants, User’s Manual / Fauske and Associates Inc.
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