• DocumentCode
    1389291
  • Title

    Hilbert–Huang Transform-Based Electrostatic Signal Analysis of Ring-Shape Electrodes With Different Widths

  • Author

    Zhang, Wenbiao ; Wang, Chao ; Wang, Huaxiang

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • Volume
    61
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1209
  • Lastpage
    1217
  • Abstract
    Online measurement of the particulate flow plays a significant role in the monitoring and controlling process of the industrial application. Due to the simple structure and high sensitivity, the electrostatic method is widely used in the measurement of the gas-solid two-phase flow. The ring-shape electrodes with different widths have different sensitivity distributions. The electrostatic signals from the electrodes of 2- and 10-mm axial widths were obtained from experiments conducted on the gas-solid two-phase flow rig. Because of the advantages of the Hilbert-Huang transform, it was utilized to investigate the characteristics of the electrostatic signals from different electrodes and to extract the features to characterize the change of solid concentrations. Considering the correlation coefficient between the features and the solid concentrations and the features´ linear performance under different air flow rates, the energies of the intrinsic mode function 3 from different signals were extracted to characterize the change of solid concentrations.
  • Keywords
    Hilbert transforms; correlation methods; electrodes; electrohydrodynamics; electrostatics; feature extraction; flow measurement; two-phase flow; Hilbert-Huang transform-based electrostatic signal analysis; air flow rates; correlation coefficient; electrostatic method; feature extraction; gas-solid two-phase flow rig; industrial application; intrinsic mode function; online measurement; ring-shape electrode; sensitivity distribution; signal extraction; solid concentration; Data acquisition; Electrodes; Electrostatics; Feature extraction; Finite element methods; Sensitivity; Solids; Electrostatic signal; Hilbert–Huang transform (HHT); feature extraction; finite-element modeling (FEM); solid concentration; two-phase flow;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2011.2174893
  • Filename
    6095365