• DocumentCode
    1680668
  • Title

    Lifting wavelet de-noising for stealing oil signal of pipeline

  • Author

    Li, Ying-chun ; Zhang, Jie ; Ming, Yan-jie ; Hou, Yan

  • Author_Institution
    Electron. Eng. Dept., North China Inst. of Astronaut. Eng., Lang Fang, China
  • fYear
    2010
  • Firstpage
    6753
  • Lastpage
    6756
  • Abstract
    The test system of stress wave signal about stealing oil was briefly introduced. And basic principle of lifting scheme was presented. According to test data, the characteristics of stealing oil were analyzed in time and frequency domains. Stealing oil signal usually contains high-frequency noise and low-frequency interference. According to the characteristics, the de-noising algorithm based on lifting wavelet was applied to the signal de-noising for stealing oil. The de-noising method, which can be computed fast with a simple implementation, has a good effect for signal de-noising. And the stealing oil signal is retained perfectly.
  • Keywords
    frequency-domain analysis; interference (signal); pipelines; signal denoising; time-domain analysis; wavelet transforms; high-frequency noise; lifting wavelet; low-frequency interference; pipeline; stealing oil signal; stress wave signal; wavelet denoising; Data mining; Laboratories; Noise reduction; Petroleum; Signal denoising; Stress; Wavelet transforms; de-noising; lifting wavelet; stealing oil signal; stress wave; test system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554185
  • Filename
    5554185