TY - JOUR
T1 - Adaptive Acoustic Leak Location of Long Buried Pipe via Transient Optimization Statistical Analysis
AU - Zhou, Xingyue
AU - Yin, Wutao
AU - Yang, Kunde
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - Recently, nondestructive leak detection of buried pipes by acoustic approaches has attracted extensive attention from operating units. Although the practical cost of hydrophone is far lower than that of optical and magnetic flux devices, there are still some problems such as short detection distance and large positioning error. Aiming at hydrophone application, a robust leakage location strategy - statistical analysis of transient reconstruction (SATR) with adaptive parameter optimization - is proposed. Unlike previous methods that only capture the first arrival transient component, this article splits the reconstructed signal and estimates the leakage position by statistical characteristic distribution. Additionally, minimum envelope entropy (MEE) is exploited as a constraint to optimize the parameters of maximum correlation kurtosis deconvolution (MCKD), thus ensuring transient detection. Through the statistical probability distribution of the time delay of all deconvolution wavelets, the peaks higher than the threshold tolerance are weighted as the position estimation. Experiments at varying distances show that the relative positioning error (0.32%) of the proposed method is superior to other state-of-the-art approaches.
AB - Recently, nondestructive leak detection of buried pipes by acoustic approaches has attracted extensive attention from operating units. Although the practical cost of hydrophone is far lower than that of optical and magnetic flux devices, there are still some problems such as short detection distance and large positioning error. Aiming at hydrophone application, a robust leakage location strategy - statistical analysis of transient reconstruction (SATR) with adaptive parameter optimization - is proposed. Unlike previous methods that only capture the first arrival transient component, this article splits the reconstructed signal and estimates the leakage position by statistical characteristic distribution. Additionally, minimum envelope entropy (MEE) is exploited as a constraint to optimize the parameters of maximum correlation kurtosis deconvolution (MCKD), thus ensuring transient detection. Through the statistical probability distribution of the time delay of all deconvolution wavelets, the peaks higher than the threshold tolerance are weighted as the position estimation. Experiments at varying distances show that the relative positioning error (0.32%) of the proposed method is superior to other state-of-the-art approaches.
KW - Acoustic location
KW - maximum correlation kurtosis deconvolution (MCKD)
KW - pipeline leakage detection
KW - statistical probability distribution
KW - transient leakage
UR - http://www.scopus.com/inward/record.url?scp=85182953713&partnerID=8YFLogxK
U2 - 10.1109/TIM.2024.3353837
DO - 10.1109/TIM.2024.3353837
M3 - 文章
AN - SCOPUS:85182953713
SN - 0018-9456
VL - 73
SP - 1
EP - 10
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
ER -