The analysis of acoustic emission (AE) signals produced during object leakage is promising for condition monitoring of the components. In this study, an advanced condition monitoring technique based on acoustic emission detection and artificial neural networks was applied to a check valve, one of the components being used extensively in a safety system of a nuclear power plant. AE testing for a check valve under controlled flow loop conditions was performed to detect and evaluate disk movement for valve degradation such as wear and leakage due to foreign object interference in a check valve. It is clearly demonstrated that the evaluation of different types of failure modes such as disk wear and check valve leakage were successful by systematically analyzing the characteristics of various AE parameters. It is also shown that the leak size can be determined with an artificial neural network.
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e-mail: lmin97@pusan.ac.kr
e-mail: johlee@pusan.ac.kr
e-mail: jtkim@kaeri.re.kr
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August 2005
Research Papers
Condition Monitoring of a Nuclear Power Plant Check Valve Based on Acoustic Emission and a Neural Network
Min-Rae Lee,
Min-Rae Lee
Department of Mechanical Design Engineering,
e-mail: lmin97@pusan.ac.kr
Pusan National University
, Korea
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Joon-Hyun Lee,
Joon-Hyun Lee
School of Mechanical Engineering,
e-mail: johlee@pusan.ac.kr
Pusan National University
, San 30 Jangjeon-dong, Kumjeong-gu, Pusan, 609-735, Korea
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Jung-Teak Kim
Jung-Teak Kim
Man-Machine Interface System Team,
e-mail: jtkim@kaeri.re.kr
Korea Atomic Energy Research Institute
Yuseong, Daejeon, 305-600, Korea
Search for other works by this author on:
Min-Rae Lee
Department of Mechanical Design Engineering,
Pusan National University
, Koreae-mail: lmin97@pusan.ac.kr
Joon-Hyun Lee
School of Mechanical Engineering,
Pusan National University
, San 30 Jangjeon-dong, Kumjeong-gu, Pusan, 609-735, Koreae-mail: johlee@pusan.ac.kr
Jung-Teak Kim
Man-Machine Interface System Team,
Korea Atomic Energy Research Institute
Yuseong, Daejeon, 305-600, Koreae-mail: jtkim@kaeri.re.kr
J. Pressure Vessel Technol. Aug 2005, 127(3): 230-236 (7 pages)
Published Online: April 11, 2005
Article history
Received:
March 2, 2005
Revised:
April 11, 2005
Citation
Lee, M., Lee, J., and Kim, J. (April 11, 2005). "Condition Monitoring of a Nuclear Power Plant Check Valve Based on Acoustic Emission and a Neural Network." ASME. J. Pressure Vessel Technol. August 2005; 127(3): 230–236. https://doi.org/10.1115/1.1991880
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