• DocumentCode
    498919
  • Title

    Wavelet analysis of vortex signal

  • Author

    Sun, Hong-Jun ; Qu, Wei-jie

  • Author_Institution
    Coll. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1628
  • Lastpage
    1633
  • Abstract
    Vortex signal is a kind of single frequency sine wave signal which is often noised. Comparing with the algorithms of time-frequency analysis, Wavelet analysis method is perfected in process of filtering and frequency detecting. This paper uses wavelet analysis method to denoise and detect both simulation signal and vortex signal, the symletA wavelet is selected to be the original wavelet; the number of decomposition levels is decided by ratio of approximation coefficients standard deviation and detail coefficients standard deviation; the frequency is detected by the new peak search method based on mathematical statistics. The final results show that using wavelet analysis method, vortex signal frequency can be detected almost up to the theoretical low limit of vortex flowmeter.
  • Keywords
    filtering theory; flowmeters; signal denoising; signal detection; vortices; wavelet transforms; approximation coefficients standard deviation ratio; filtering process; frequency detection; mathematical statistics; search method; signal denoising; simulation signal detection; single frequency sine wave signal; time-frequency analysis; vortex flowmeter; vortex signal; wavelet analysis method; Algorithm design and analysis; Cybernetics; Frequency; Machine learning; Signal analysis; Signal detection; Spectral analysis; Statistical analysis; Wavelet analysis; Wavelet transforms; Decomposition levels; Mathematics statistics; Vortex; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212312
  • Filename
    5212312