• DocumentCode
    3468149
  • Title

    Simulation study of MNR image reconstruction algorithm in Electromagnetic Tomography for two-phase flow measurement

  • Author

    He, Min ; Xu, Xiaoyan

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Maritime Univ., Shanghai, China
  • Volume
    2
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    Electromagnetic Tomography technology has bright future in the two-phase flow measurement, and the study of the image reconstruction algorithm is important to improve the measurement accuracy. A new kind of algorithm based on Modified Newton-Raphson method was proposed and applied to the EMT image reconstruction for solid-gas two-phase flow measurement. The simulated reconstruction results of the new algorithm together with that of the direct algorithm (LBP) showed that the new algorithm is suitable for industrial online two-phase flow measurement for its advantages in aspects of computation cost and reconstruction quality.
  • Keywords
    Newton-Raphson method; flow measurement; image reconstruction; optical tomography; two-phase flow; LBP direct algorithm; electromagnetic tomography technology; image reconstruction simulation algorithm; industrial online two-phase flow measurement; linear back projection; measurement accuracy; modified Newton-Raphson method; solid-gas two-phase flow measurement; Biomedical measurements; Electric variables measurement; Electromagnetic measurements; Fluid flow measurement; Geologic measurements; Image reconstruction; Inverse problems; Magnetic field measurement; Permeability; Tomography; Electromagnetic Tomography technology; MNR algorithm; image reconstruction; simulation study; two-phase flow measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test and Measurement, 2009. ICTM '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4699-5
  • Type

    conf

  • DOI
    10.1109/ICTM.2009.5413096
  • Filename
    5413096