• 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