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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 373 - 380 (8page)
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초록· 키워드
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Safety-related parameters are very important for confirming the status of a nuclear power plant. In particular, the reactorvessel water level has a direct impact on the safety fortress by confirming reactor core cooling. In this study, the reactor vesselwater level under the condition of a severe accident, where the water level could not be measured, was predicted using a fuzzyneural network (FNN). The prediction model was developed using training data, and validated using independent test data.
The data was generated from simulations of the optimized power reactor 1000 (OPR1000) using MAAP4 code. Theinformative data for training the FNN model was selected using the subtractive clustering method. The prediction performanceof the reactor vessel water level was quite satisfactory, but a few large errors were occasionally observed. To check the effectof instrument errors, the prediction model was verified using data containing artificially added errors. The developed FNNmodel was sufficiently accurate to be used to predict the reactor vessel water level in severe accident situations where theintegrity of the reactor vessel water level sensor is compromised. Furthermore, if the developed FNN model can be optimizedusing a variety of data, it should be possible to predict the reactor vessel water level precisely.
목차
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참고문헌 (19)
참고문헌 신청
A. Gofuku / 1988 / Diagnostic Techniques of a Small-Break Loss-of-Coolant Accident at a Pressurized Water Reactor Plant / Nuclear Technology 81 (3) : 313 ~ 332
D. E. Goldberg / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison Wesley
E. B. Bartlett / 1992 / Nuclear power plant diagnostics using an artificial neural network / Nucl. Technol 97 : 272 ~ 281
E. H. Mamdani / 1975 / An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller / Int. J. Man- Machine Studies 7 : 1 ~ 13
J. W. Hines / 1997 / Signal validation using an adaptive neural fuzzy inference system / Nucl. Technol. 119 (2) : 181 ~ 193
D. E. Goldberg / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison Wesley
E. B. Bartlett / 1992 / Nuclear power plant diagnostics using an artificial neural network / Nucl. Technol 97 : 272 ~ 281
E. H. Mamdani / 1975 / An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller / Int. J. Man- Machine Studies 7 : 1 ~ 13
J. W. Hines / 1997 / Signal validation using an adaptive neural fuzzy inference system / Nucl. Technol. 119 (2) : 181 ~ 193
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