• DocumentCode
    3503659
  • Title

    The research of natural gas pipeline leak detection based on adaptive filter technology

  • Author

    Jiang Chun Lei ; Wang Yuan

  • Author_Institution
    Priority Lab. of Oil Field Control & Inf. Eng., Northeast Pet. Univ., Daqing, China
  • Volume
    02
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    1229
  • Lastpage
    1233
  • Abstract
    This paper expounds the potential safety hazard of natural gas pipeline leakage, and briefly summarizes the means and defects of pipeline leak detection recently. A acoustic detection method of natural gas pipeline leak based on adaptive filtering algorithm is proposed so that the situation the natural gas pipeline leakage is difficult to find and detect can be solved. The sensor structure and flow diagram are elaborated, and pipeline leakage simulation test system was designed. This experiment processes and discriminates of leakage characteristics through the upper machine software Labview. Eventually the leak can be detected and located in fundamental.
  • Keywords
    adaptive filters; leak detection; natural gas technology; pipelines; virtual instrumentation; acoustic detection method; adaptive filter technology; adaptive filtering algorithm; flow diagram; leakage characteristics; machine software Labview; natural gas pipeline leak detection research; natural gas pipeline leakage; pipeline leak detection defects; pipeline leakage simulation test system; potential safety hazard; sensor structure; Acoustics; Adaptive filters; Leak detection; Least squares approximations; Natural gas; Pipelines; Signal processing algorithms; Adaptive filter; Detection and location; Gas transmission pipeline; Labview; Leak detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758181
  • Filename
    6758181