• DocumentCode
    2096878
  • Title

    Wavelet packet entropy feature extraction and characteristics analysis for gas/liquid two-phase flow regimes

  • Author

    Chun Fu ; Feng Dong

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    10-12 May 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Identification of flow regime is the basis for measuring flow parameters in two-phase flow accurately. Because of the complexity of phase interaction in gas-liquid two-phase flow, it is difficult to discern its flow regime objectively. The 208 measured data from electrical resistance tomography (ERT) are arranged into series based on section to derive the wavelet packet entropy and investigate the characteristics of gas-liquid two-phase flow for flow regime. The results show that the wavelet packet entropy, which is sensitive to the flow regime transition, can characterize the nonlinear dynamics of gas-liquid two-phase flow. Wavelet packet entropy of flow regime may be as a parameter for better flow regime identification and analysis those wavelet packet entropy also provide an efficient supplementary to reveal the flow regime transition mechanism of gas/liquid two-phase flow.
  • Keywords
    electric resistance measurement; feature extraction; flow measurement; tomography; two-phase flow; wavelet transforms; ERT; electrical resistance tomography; flow parameter measurement; gas-liquid two-phase flow regime; nonlinear dynamics; wavelet packet entropy feature extraction; Entropy; Feature extraction; Fluid flow; Fluid flow measurement; Plugs; Wavelet analysis; Wavelet packets; characteristic analysis; feature extraction; flow regime; wavelet packe entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
  • Conference_Location
    Binjiang
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-7933-7
  • Type

    conf

  • DOI
    10.1109/IMTC.2011.5944130
  • Filename
    5944130