• DocumentCode
    2577913
  • Title

    Morphological filtering assisted field-pipeline small leakage detection

  • Author

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

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    3769
  • Lastpage
    3774
  • Abstract
    Field-pipelines leakage detection based on the negative pressure wave theory is mainly aiming to effectively process pressure sample signal in time domain. Previous methods often perform well for detecting large leakage but poorly for small leakage. In this paper, an alternative way using a particular morphological filter constructed by basic morphological operators is considered. The particular filter employed can remove noise and disturbance while retaining the basic geometry shape of pressure sample signal. This feature allows the filter facilitating signal small and slow change detection. The effect of the structuring element length selection is also analyzed on simulated data to acquire empirical rules for practical applications. An experiment is studied to validate the performance of the employed morphological filter.
  • Keywords
    filtering theory; leak detection; mechanical engineering computing; pipelines; time-domain analysis; field-pipeline small leakage detection; morphological filtering; negative pressure wave theory; time domain; Electronic mail; Filtering theory; Geometry; Leak detection; Lubricating oils; Noise shaping; Nonlinear filters; Pipelines; Shape; Signal processing; morphological filtering; petroleum field-pipeline; small leakage detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346676
  • Filename
    5346676