Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1995.11a
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- Pages.175-177
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- 1995
A Study on the Failure Detection and Validation of Pressurizer Level Signal in Nuclear Power Plant
원전 가압기수위신호 고장검출 및 검증에 관한연구
- Oh, S.H. (Korea Institute of Nuclear Safety) ;
- Kim, D.I. (Korea Institute of Nuclear Safety) ;
- Zoo, O.P. (Korea Institute of Nuclear Safety) ;
- Chung, Y.H. (Korea Institute of Nuclear Safety) ;
- Lim, C.H. (Korea Institute of Nuclear Safety) ;
- Yun, W.Y. (Korea Institute of Nuclear Safety) ;
- Kim, K.J. (Chung Nam National Univ.)
- 오성헌 (한국원자력안전기술원) ;
- 김대일 (한국원자력안전기술원) ;
- 주운표 (한국원자력안전기술원) ;
- 정윤형 (한국원자력안전기술원) ;
- 임장현 (한국원자력안전기술원) ;
- 윤원영 (한국원자력안전기술원) ;
- 김건중 (충남대학교)
- Published : 1995.11.18
Abstract
The sensor signal validation and failure detection system must be able to detect, isolate, and identify sensor degradation as well as provide a reconstruction of the measurements. In this study, this is accomplished by combining the neural network, the Generalized Consistency Checking(GCC), and the Sequential Probability Ratio Test(SPRT) method in a decision estimator module. The GCC method is a computationally efficient system for redundant sensors, while the SPRT provides the ability to make decisions based on the degradation history of a sensor. The methodology is also extended to the detection of noise degradation. The acceptability of the proposed method is demonstration by using the simulation data in safety injection accident of nuclear power plants. The results show that the signal validation and sensor failure detection system is able to detect and isolate a bias failure and noise type failures under transient conditions. And also, the system is able to provide the validated signal by reconstructing the measurement signals in the failure conditions considered.
Keywords