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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.4
- 수록면
- 1,199 - 1,209 (11page)
- DOI
- https://doi.org/10.1016/j.net.2020.10.009
이용수
초록· 키워드
오류제보하기
The detection of unexpected loose parts in the primary coolant system in a nuclear power plant remainsan extremely important issue. It is essential to develop a methodology for the localization and massestimation of loose parts owing to the high prediction error of conventional methods. An effectiveapproach is presented for the localization and mass estimation of a loose part using machine-learningand deep-learning algorithms. First, a methodology was developed to estimate both the impact locationand the mass of a loose part at the same times in a real structure in which geometric changes exist.
Second, an impact database was constructed through a series of impact finite-element analyses (FEAs).
Then, impact parameter prediction modes were generated for localization and mass estimation of asimulated metallic loose part using machine-learning algorithms (artificial neural network, Gaussianprocess, and support vector machine) and a deep-learning algorithm (convolutional neural network).
The usefulness of the methodology was validated through blind tests, and the noise effect of the trainingdata was also investigated. The high performance obtained in this study shows that the proposedmethodology using an FEA-based database and deep learning is useful for localization and mass estimationof loose parts on site.
목차
등록된 정보가 없습니다.
참고문헌 (24)
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
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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