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Development of Acoustic Leak Detection and Localization Methods for Inlet Piping of Fugen Nuclear Power Plant

The development work carried out on Fugen NPP is focused on detection of a small leakage on the reactor's inlet feeder pipes at an early stage by an acoustic leak detection method with usage of high-temperature resistant microphones. Specifically, the leak rate of 0.046 m 3 /h has been chosen a...

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Published in:Journal of nuclear science and technology 2004-02, Vol.41 (2), p.183-195
Main Authors: SHIMANSKIY, Sergey, IIJIMA, Takashi, NAOI, Yosuke
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Language:English
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creator SHIMANSKIY, Sergey
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description The development work carried out on Fugen NPP is focused on detection of a small leakage on the reactor's inlet feeder pipes at an early stage by an acoustic leak detection method with usage of high-temperature resistant microphones. Specifically, the leak rate of 0.046 m 3 /h has been chosen as a target detection capability for this system. A cross-correlation technique has been studied for leak detection under low signal-noise ratios. The study shows that the sound diffusion on piping causes distortion of leak signals that results in their low correlation. A leak-location estimator and multi-channel correlation value, associated with estimated leak position, have been employed to detect such low-correlated leak signals. A method based on cross-correlation of signal spectral components has been proposed to deal with non-stationary leak signals. Joint-Time-Frequency-Analysis has been applied to analyze such signals, whilst a Wavelet decomposition technique has been used to extract their short-term spectral fluctuations. Since the spectral components are less affected by signal distortion, they provide higher correlation value and can be applied for leak detection under lower signal-noise ratios. The possibility of detecting and locating a small leakage by the methods proposed has been demonstrated by a number of simulation tests conducted on the Fugen NPP site.
doi_str_mv 10.1080/18811248.2004.9715475
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source Taylor and Francis Science and Technology Collection
subjects acoustic monitoring
Applied sciences
ATR Fugen
coolant leakage
correlation matrix
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Fission nuclear power plants
Installations for energy generation and conversion: thermal and electrical energy
leak detection
leak localization
leakage sound
microphone
multi-channel processing
wavelet decomposition
title Development of Acoustic Leak Detection and Localization Methods for Inlet Piping of Fugen Nuclear Power Plant
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