개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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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
- 저널정보
- 한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제36권 제5호
- 발행연도
- 2012.7
- 수록면
- 662 - 673 (12page)
이용수
초록· 키워드
오류제보하기
This study introduces a condition diagnosis technique for a turbine governor system. The governor system is an important control system to handle turbine speed in a nuclear power plant. The turbine governor system includes turbine valves and stop valves which have their own functions in the system. Because a turbine governor system is operated by high oil pressure, it is very difficult to maintain under stable operating conditions. Turbine valves supply oil pressure to the governor system for proper operation. Using the pressure variation of turbine and governor valves, operating conditions of the turbine governor control system are detected and identified. To achieve automatic detection of valve status, time-based and frequency-based analysis is employed. In this study, a new approach, wavelet decomposition, was used to extract specific features from the pressure signals of the governor and stop valves. The extracted features, which represent the operating conditions of the turbine governor system, include important information to control and diagnose the valves. After extracting the specific features, decision rules were used to classify the valve conditions. The rules were generated by a decision tree algorithm (a typical simple method for data-based rule generation). The results given by the wavelet-based analysis were compared to detection results using time- and frequency-based approaches. Compared with the several related studies, the wavelet transform-based analysis, the proposed in this study has the advantage of easier application without auxiliary features.
목차
Abstract
1. Introduction
2. Turbine Governor System
3. Related Works
4. Diagnosis Information from Pressure Signals of the Valves
5. Condition Diagnosis Using theWavelet Transform Method
6. Conclusions
References
참고문헌 (28)
참고문헌 신청
S. H. Jang / 1998 / Nuclear Safety / Cheong Moon Gak :1~37
Korea Electric Power Research Institute / 2003 / Development of Digital Control System of Turbine Governor of Nuclear Power Plant
Electric Power Research Institute / 2004 / Governor Control Logic Drawing of Kori Nuclear Power Plant #2
J. P. Kim / 1994 / Development of water quality monitoring and diagnosis system of the secondary circuit of the nuclear power station / Power Research 1:303~315
W. R. Nelson / 1982 / REACTOR: An expert system for diagnosis and treatment of nuclear reactor accidents / Proceedings Association for the Advancement of Artificaial Inteligence :296~301
Korea Electric Power Research Institute / 2003 / Development of Digital Control System of Turbine Governor of Nuclear Power Plant
Electric Power Research Institute / 2004 / Governor Control Logic Drawing of Kori Nuclear Power Plant #2
J. P. Kim / 1994 / Development of water quality monitoring and diagnosis system of the secondary circuit of the nuclear power station / Power Research 1:303~315
W. R. Nelson / 1982 / REACTOR: An expert system for diagnosis and treatment of nuclear reactor accidents / Proceedings Association for the Advancement of Artificaial Inteligence :296~301
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UCI(KEPA) : I410-ECN-0101-2013-559-003550133