• DocumentCode
    2616915
  • Title

    A Field-Pipeline Leakage Detection Method Based on Negative Pressure Wave and Improved Fast Differential Algorithm

  • Author

    Li, Han ; Xiao, De-yun ; Zhao, Xiang

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    Field-pipeline operations are more easily affected by complex environment in comparison of common long-distance pipeline. Its failures such as leakage demand to be dealt with more urgently and efficiently. This paper proposes a leakage detection method based on the improved fast differential algorithm on the basis of negative pressure wave detection theory. The method can achieve high sensitivity with restraining false alarm rate through fluctuation assessment of sampling average value. The paper shows an experiment example and compares with the wavelet transform method. The proposed method not only possesses a faster computing rate, but a capability of detecting small leakage. Thus it can adapt to rapid response under field-environment.
  • Keywords
    leak detection; pipelines; field-pipeline leakage detection method; fluctuation assessment; improved fast differential algorithm; negative pressure wave detection theory; Automation; Fluctuations; Force measurement; Leak detection; Petroleum; Pipelines; Pumps; Sampling methods; Signal sampling; Wavelet transforms; fast differential algorithm; leakage detection; negative; petroleum pipeline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.39
  • Filename
    5169556