• DocumentCode
    2152043
  • Title

    Detection of the vortex signal in vibration environment and signal processing based on EMD decompositions

  • Author

    Sun, Hong-Jun ; Liu, Jian ; Chi, Lci ; Zhang, Tao

  • Author_Institution
    Coll. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    216
  • Lastpage
    221
  • Abstract
    The vortex signal is greatly disturbed by noises from pipe vibration, which results in difficulties of using vortex flowmeter in vibration environment. In order to solve the problem, a new method of anti-cyclical vibration for vortex flowmeter is proposed in this paper, which aims to eliminate the vibration of the vortex flowmeter via detecting vibration signal. The main frequency component of pipe vibration signal is analyzed by using EMD method and the energy method based on IMF. Then the main frequency component is chosen as a notch filter. Subsequently, a true vortex signal is gained via filtering the complex vortex signal in the frequency domain. Through experimental measurement of gas flow under different acceleration and directions of vibration, a better linearity of measurement is achieved by the proposed method in vibration environment.
  • Keywords
    flowmeters; pipe flow; signal detection; vibrations; vortices; EMD decompositions; anticyclical vibration; notch filter; pipe vibration signal; signal processing; vibration environment; vortex flowmeter; vortex signal detection; Acceleration; Probes; Time frequency analysis; Vibrations; Wavelet analysis; Anti-cyclical vibration; Digital notch frequency domain; Empirical Mode Decomposition; IMF´s energy method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6530-9
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2010.5576338
  • Filename
    5576338