• DocumentCode
    1637173
  • Title

    Extraction of the soil vibration signal based on Hilbert transform

  • Author

    Hao, Shangqing ; Shi, Guangshun ; Wang, Kai ; Yan, Hu

  • Author_Institution
    Inst. of Machine Intell., Nankai Univ., Tianjin, China
  • fYear
    2010
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    This paper researches on real-time noise reduction and segmentation method of soil vibration signals collected by the fiber optic laid in the vicinity of oil pipeline. First, we extract valid fragments of signals using the self-correlation coefficient. Then Hilbert transform is performed to reduce noise and enhance on those extracted fragments. Finally, we collect vibration signals caused by destructive events with dual-threshold method. Real application showed that the method proposed in this paper is robust and accurate enough to extract all the signals of our interest, making a great contribution to improving the performance in the following classification stage.
  • Keywords
    Hilbert transforms; feature extraction; pipelines; signal classification; soil; vibrations; Hilbert transform; dual-threshold method; fiber optic; oil pipeline; real-time noise reduction; self-correlation coefficient; signal classification; soil vibration signal extraction segmentation method; Noise; Noise reduction; Petroleum; Pipelines; Real time systems; Transforms; Vibrations; Hilbert transform; Soil vibration signals; de-noise; signal segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6054-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2010.5552374
  • Filename
    5552374