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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
- 2020.9
- 수록면
- 2,009 - 2,016 (8page)
- DOI
- 10.1016/j.net.2020.02.002
이용수
초록· 키워드
오류제보하기
A nuclear power plant is a large complex system with tens of thousands of components. To ensure plant safety, the early and accurate diagnosis of abnormal situations is an important factor. To prevent misdiagnosis, operating procedures provide the anticipated symptoms of abnormal situations. While the more severe emergency situations total less than ten cases and can be diagnosed by dozens of key plant parameters, abnormal situations on the other hand include hundreds of cases and a multitude of parameters that should be considered for diagnosis. The tasks required of operators to select the appropriate operating procedure by monitoring large amounts of information within a limited amount of time can burden operators. This paper aims to develop a system that can, in a short time and with high accuracy, select the appropriate operating procedure and sub-procedure in an abnormal situation. Correspondingly, the proposed model has two levels of prediction to determine the procedure level and the detailed cause of an event. Simulations were conducted to evaluate the developed model, with results demonstrating high levels of performance. The model is expected to reduce the workload of operators in abnormal situations by providing the appropriate procedure to ultimately improve plant safety
목차
등록된 정보가 없습니다.
참고문헌 (23)
참고문헌 신청
SEUNG JUN LEE / 2007 / DEVELOPMENT OF AN INTEGRATED DECISION SUPPORT SYSTEM TO AID COGNITIVE ACTIVITIES OF OPERATORS / Nuclear Engineering and Technology 39(6):703~716
B. Bartlett, Eric / 1992 / Nuclear power plant status diagnostics using an artificial neural network / Nucl. Technol 97:272~281
K. M. Bakhshayesh / 2013 / Transient identification in nuclear power plants : a review / Prog. Nucl. Energy 67:23~32
D. W. Miller / 1994 / Experience with the hierarchical method for diagnosis of faults in nuclear power plant systems / Reliab. Eng. Syst. Saf 44(3):297~311
M. Horiguchi / 1991 / Development of nuclear power plant diagnosis technique using neural networks / Proceedings of the First International Forum on Applications of Neural Networks to Power Systems :279~282
B. Bartlett, Eric / 1992 / Nuclear power plant status diagnostics using an artificial neural network / Nucl. Technol 97:272~281
K. M. Bakhshayesh / 2013 / Transient identification in nuclear power plants : a review / Prog. Nucl. Energy 67:23~32
D. W. Miller / 1994 / Experience with the hierarchical method for diagnosis of faults in nuclear power plant systems / Reliab. Eng. Syst. Saf 44(3):297~311
M. Horiguchi / 1991 / Development of nuclear power plant diagnosis technique using neural networks / Proceedings of the First International Forum on Applications of Neural Networks to Power Systems :279~282
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