• DocumentCode
    2739828
  • Title

    The Localization Method of Third Party Damage Source in Buried Pipe with EMD

  • Author

    Wang, Qiang ; Yuan, Changmin

  • Author_Institution
    Coll. of Metrol. Technol. & Eng., China JiLiang Univ., Hangzhou
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    7688
  • Lastpage
    7691
  • Abstract
    Buried oil pipe third party damage (TPD) source location affected by the propagation mode characteristic and noise, a method to locate the pipe damaging source based on empirical mode decomposition (EMD) is presented. Through EMD analysis, TPD signals are decomposed into a series of IMF, each of which covers a specific frequency band, then select a few useful intrinsic mode function (IMF) by feature of power, finally locate the TPD source by using cross-correlation method. The EMD is an adaptive frequency dividing and has some advantages compared to wavelet packet. When pipe detecting distance is 90m in refinery, experiment results show that the proposed method improves the location accuracy and gains good performance
  • Keywords
    correlation methods; maintenance engineering; pipelines; signal processing; TPD signal decomposition; adaptive frequency dividing; buried oil pipe third party damage source location; cross-correlation method; empirical mode decomposition; frequency band; intrinsic mode function; propagation mode characteristic; propagation mode noise; Acoustic signal detection; Educational institutions; Frequency conversion; Information science; Intelligent control; Performance gain; Petroleum; Position measurement; Signal analysis; Wavelet packets; Third party damage; acoustic signal; buried pipe; cross-correlation; empirical mode decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713463
  • Filename
    1713463