Title :
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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988829
