• DocumentCode
    1988414
  • Title

    Pipeline leak fault feature extraction based on wavelet packet analysis and application

  • Author

    Zhao, Jiang ; Sun, Feng ; Wang, Huapeng

  • Author_Institution
    Inst. of Electr. Eng. & Inf. Technol., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    1148
  • Lastpage
    1151
  • Abstract
    Wavelet packet analysis provides a more subtle approach for signal analysis, in the signal processing, through multiple levels division of the signal band, which made the high frequency part a deeper level decomposition. There is also according to the nature of the signal itself choose the corresponding band adaptively, so as to consistent with the signal spectrum, and thus make the time frequency resolution has been greatly improved. Thus we could extract fault feature in a more fine-grained band, so this method is suitable for non stationary signal analysis. This article describes the pipeline leak fault feature extraction based on wavelet packet analysis and application.
  • Keywords
    fault diagnosis; feature extraction; leak detection; pipelines; signal resolution; time-frequency analysis; wavelet transforms; feature fault extraction; non stationary signal analysis; pipeline leak; signal processing; signal spectrum; time frequency resolution; wavelet packet analysis; Feature extraction; Noise; Noise reduction; Pipelines; Wavelet analysis; Wavelet packets; Fault diagnosis; Feature vector extracted; Sound waves; Wavelet packet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057772
  • Filename
    6057772