DocumentCode
2905921
Title
Leak Detection of Water Pipeline Using Wavelet Transform Method
Author
Tang, Xuhui ; Liu, Yongbo ; Zheng, Longjiang ; Ma, Changbao ; Wang, Hui
Author_Institution
Hebei Key Lab. of Meas. Technol. & Instrum., Yanshan Univ., Qinhuangdao, China
Volume
2
fYear
2009
fDate
4-5 July 2009
Firstpage
217
Lastpage
220
Abstract
In order to solve the leak problem from water pipeline, the principle of water pipeline leak detection using acoustic theory is elaborated and the location algorithm is given. A leak detection technique combines wavelet transform and cross-correlation technique is the focus in this paper. The leak location algorithm using wavelet transform for noise reduction before using cross-correlation technique to calculate the time arrival difference between the two vibration sensors. After wavelet transform denoising, by introducing the optimal maximum likelihood based on cross-correlation technique, the time delay estimate between the two sensors is precisely calculated and obtained. Then a compare between this method and basic cross-correlation method is conducted. Simulation results verifies the validity of the new measuring method.
Keywords
leak detection; maximum likelihood estimation; pipelines; signal denoising; time-of-arrival estimation; vibrations; water supply; wavelet transforms; acoustic theory; cross-correlation technique; leak detection; location algorithm; noise reduction; optimal maximum likelihood; time arrival difference; time delay estimate; vibration sensor; water pipeline; wavelet transform denoising; Acoustic measurements; Acoustic noise; Frequency; Leak detection; Maximum likelihood detection; Noise reduction; Pipelines; Signal analysis; Wavelet analysis; Wavelet transforms; cross-correlation; leak detection; optimal maximum likelihood; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.57
Filename
5199874
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