• DocumentCode
    638419
  • Title

    A novel image reconstruction algorithm accelerated based on polynomials for electrical capacitance tomography system

  • Author

    Chen Deyun ; Li Zhiqiang ; Zhao Qingqing ; Gao Ming ; Wang Lili ; Yu Xiaoyang

  • Author_Institution
    Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2013
  • fDate
    June 28 2013-July 1 2013
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    To solve the problem of two-phase flow measurement for electrode electrical capacitance tomography (ECT), on the basis of analyzing ECT system measurement principle, we constructed the mathematical model of two-phase flow distribution information according to double integral infinitesimal principle, and formed a set of 12-Electrode two-phase ECT system. And to speed up the slow convergence rate of ordinary iteration method, a novel regularization image reconstruction algorithm Accelerated based on the Polynomials of for electrical capacitance tomography is presented. Experimental results and simulation data indicate that the algorithm can provide high quality images with less reconstruction time and few iteration steps and this new algorithm presents a feasible and effective way to research of image reconstruction algorithm for Electrical Capacitance Tomography System.
  • Keywords
    capacitance; flow measurement; image reconstruction; polynomials; tomography; two-phase flow; 12-electrode two-phase ECT system; double integral infinitesimal principle; electrical capacitance tomography system; mathematical model; polynomials; regularization image reconstruction algorithm; two-phase flow distribution; two-phase flow measurement; Capacitance; Chemicals; Electric variables measurement; Fluid flow measurement; Image reconstruction; Phase measurement; Prototypes; Electrical capacitance tomography; Image reconstruction; Two-phase flow measurement; polynomials accelerated;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2013 8th International Forum on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-0931-5
  • Type

    conf

  • DOI
    10.1109/IFOST.2013.6616856
  • Filename
    6616856