BFGS Algorithm in Electrical Resistance Tomography for the Measurement of Two-phase Flow

Author

Yu, Jinhua ; Huang, Jinqiao

Author_Institution

Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Xiasha

Volume

1

fYear

0

fDate

0-0 0

Firstpage

5182

Lastpage

5185

Abstract

Electrical resistance tomography (ERT) is one of new methods for parameters measurement of two-phase flow. The image reconstruction algorithm is one of key parts of ERT system. Based on the optimization principle of BFGS algorithm (one kind of quasi-Newton methods), a new image reconstruction algorithm of ERT for two-phase flow is proposed. To enable the acquirement of on-line measurement of two-phase flow, BFGS algorithm is modified to reduce computation and raise image reconstruction speed. The details are that the iteration direction is changed and the Hessian matrix of the objection function is replaced by the identity matrix. Experimental results show that the modified BFGS algorithm is stable and effective to reconstruct high quality image at fast speed

Keywords

Hessian matrices; Newton method; computational fluid dynamics; computerised tomography; flow measurement; image reconstruction; two-phase flow; Broyden-Fletcher-Goldfarb-Shanno algorithm; ERT system; Hessian matrix; electrical resistance tomography; identity matrix; image reconstruction; objection function; optimization principle; parameter measurement; quasiNewton methods; two-phase flow measurement; Current measurement; Electric resistance; Electric variables measurement; Electrical resistance measurement; Fluid flow measurement; Image reconstruction; Iterative algorithms; Mathematical model; Pixel; Tomography; Two-phase flow; algorithm; electrical resistance tomography; reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713379

Filename

1713379