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
Link To Document