Model-based localization and mass-estimation methodology of metallic loose parts

문성인; 한성진; 강두; 한순우; 김문성

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자료유형: 학술저널

저자정보: 문성인 한성진 강두 한순우 김문성

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제52권 제4호

발행연도: 2020.1

수록면: 846 - 855 (10page)

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A loose part monitoring system is used to detect unexpected loose parts in a reactor coolant system in a nuclear power plant. It is still necessary to develop a new methodology for the localization and mass estimation of loose parts owing to the high estimation error of conventional methods. In addition, model-based diagnostics recently emphasized the importance of a model describing the behavior of a mechanical system or component. The purpose of this study is to propose a new localization and massestimation method based on ﬁnite element analysis (FEA) and optimization technique. First, an FEA model to simulate the propagation behavior of the bending wave generated by a metal sphere impact is validated by performing an impact test and a corresponding FEA and optimization for a downsized steam-generator structure. Second, a novel methodology based on FEA and optimization technique was proposed to estimate the impact location and mass of a loose part at the same time. The usefulness of the methodology was then validated through a series of FEAs and some blind tests. A new feature vector, the cross-correlation function, was also proposed to predict the impact location and mass of a loose part, and its usefulness was then validated. It is expected that the proposed methodology can be utilized in modelbased diagnostics for the estimation of impact parameters such as the mass, velocity, and impact location of a loose part. In addition, the FEA-based model can be used to optimize the sensor position to improve the collected data quality in the site of nuclear power plants

참고문헌 (18)

참고문헌 신청

W.D. Rhodes / 2012 / Export Control Guide: Loose Parts Monitoring Systems for Nuclear Power Plants

C.W. Mayo / 1988 / Loose-Parts Monitoring System Improvements

J. Yang / 2016 / Detection method of loose parts in nuclear reactor based on eigenvector algorithm / Prog. Nucl. Energy 91:250~255

신성환 / 2011 / MASS ESTIMATION OF IMPACTING OBJECTS AGAINST A STRUCTURE USING AN ARTIFICIAL NEURAL NETWORK WITHOUT CONSIDERATION OF BACKGROUND NOISE / Nuclear Engineering and Technology 43(4):343~354

J. S. Kim / 2002 / Development of automatic algorithm for localizing loose parts with a steam generator / Nucl. Eng. Des 219:269~276

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