Simulation study of Electrical Capacitance Tomography

Author

Wang, Zhichun ; Zhang, Wenjing

Author_Institution

Sch. of Inf. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou, China

fYear

2011

fDate

15-17 July 2011

Firstpage

7682

Lastpage

7685

Abstract

By using ANSYS for formulation and solution of the finite element, a model of Electrical Capacitance Tomography electrodes array was constructed. Based on the model, the sensitivity matrix of the sensor was calculated and sensitivity response was analyzed. The flow pattern of two phase flow was identified by using RBF neural network at first, and then the image was reconstructed by using BP neural network. A method was introduced that take the characteristic parameters of stratified flow, annular flow and core flow as the output of BP Neural Network for image reconstruction. Simulation results showed that it can rapidly reconstruct satisfactory images.

Keywords

backpropagation; capacitive sensors; electrodes; finite element analysis; flow sensors; flow simulation; flow visualisation; image reconstruction; radial basis function networks; sensitivity; stratified flow; tomography; two-phase flow; ANSYS; BP neural network; RBF neural network; annular flow; core flow; electrical capacitance tomography electrodes array model; finite element formulation; flow pattern; flow sensor; image reconstruction; sensitivity matrix; sensitivity response; stratified flow; two-phase flow; Biological neural networks; Capacitance; Eigenvalues and eigenfunctions; Electrical capacitance tomography; Electrodes; Finite element methods; Image reconstruction; ANSYS; APDL; Network; capacitance sensor; characteristic parameter;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5988829

Filename

5988829