Solution of non-linear forward problems in electrical capacitance tomography using neural networks

2005 ◽  
Author(s):  
Q. Marashdeh ◽  
W. Warsito ◽  
L.S. Fan ◽  
F.L. Teixeirao
Keyword(s):  
Neural Networks ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Non Linear ◽  
Forward Problems ◽  
Capacitance Tomography

scholarly journals LINEAR OVER RANGES ITERATIVE ALGORITHMS FOR IMAGE RECONSTRUCTION IN ELECTRICAL CAPACITANCE TOMOGRAPHY

2017 ◽  
Vol 7 (1) ◽  
pp. 115-120 ◽  
Author(s):  
Waldemar Smolik ◽  
Jacek Kryszyn
Keyword(s):  
Image Reconstruction ◽  
Jacobi Matrix ◽  
Computation Time ◽  
Nonlinear Problems ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Sensitivity Matrix ◽  
Marquardt Algorithm ◽  
Non Linear ◽  
Capacitance Tomography

The paper concerns the non-linear algorithms for image reconstruction in electrical capacitance tomography for which Jacobi matrix computation time is very long. The paper presents the idea of an iterative linearization in nonlinear problems, which leads to a reduction in the number of steps calculating Jacobi matrix. The linear Landweber algorithm with sensitivity matrix updating and non-linear Levenberg-Marquardt algorithm with Jacobi matrix updating in selected steps only were presented.

DESIGN OF FLEXIBLE ELECTRICAL CAPACITANCE TOMOGRAPHY SENSOR

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
MT Masturah ◽  
MHF Rahiman ◽  
Zulkarnay Zakaria ◽  
AR Rahim ◽  
NM Ayob
Keyword(s):  
Outer Layer ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Capacitance Tomography ◽  
Fluid Imaging

This paper discussed the design–functionality and application of Flexible Electrical Capacitance Tomography sensor (FlexiECT). The sensors consist of 12 electrodes allocated surrounding the outer layer of the pipeline. The sensor is designed in such that the flexibility features suit the applications in the pipeline of multiple size. This paper also discussed the preliminary result of FlexiECT applications in fluid imaging by identifying the percentage of two mixing fluids.

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