Magnetic induction tomography guided electrical capacitance tomography imaging with grounded conductors

Electrical capacitance tomography (ECT) is an imaging technique commonly used for imaging dielectric permittivity of insulating objects. In applications such industrial process tomography and non-destructive testing (NDT), the objects under test may exhibit variations in both dielectric permittivity and electrical conductivity. In particular, a sample that includes high conductivity, such as metal, can cause a large change in electrical field in ECT. The metal sample in imaging area will cause a large change in the sensitivity map of ECT compared to free space, which will make the ECT image reconstruction inaccurate. This effect is more severe in grounded conductor than floating conductors, so this paper focuses on grounded conductor. In order to update the sensitivity map, one needs to gain information about the conductivity distribution in ECT problem. Magnetic induction tomography (MIT) is sensitive to electrical conductivity and not sensitive to permittivity variations; therefore, it can be used to visualize the conductivity distribution of the target under test. In this paper, a dual-modality MIT and ECT system is proposed to image a medium including conductors and dielectrics. Both simulated and experimental results are presented, which demonstrate the feasibility of the proposed method.

[1]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[2]  Yi Li,et al.  Imaging conductive materials with high frequency electrical capacitance tomography , 2013 .

[3]  Zhiyao Huang,et al.  Design of high-speed ECT and ERT system , 2009 .

[4]  A Korjenevsky,et al.  Magnetic induction tomography: experimental realization. , 2000, Physiological measurement.

[5]  Tomasz Dyakowski,et al.  Direct flow-pattern identification using electrical capacitance tomography , 2002 .

[6]  Tomasz Dyakowski,et al.  Application of electrical capacitance tomography for measurement of gas-solids flow characteristics in a pneumatic conveying system , 2001 .

[7]  Manuchehr Soleimani,et al.  A magnetic induction tomography system for prospective industrial processing applications , 2012 .

[8]  O. Bíró Edge element formulations of eddy current problems , 1999 .

[9]  William R B Lionheart,et al.  GREIT: a unified approach to 2D linear EIT reconstruction of lung images , 2009, Physiological measurement.

[10]  David A. Hutchins,et al.  Non-destructive evaluation of concrete using a capacitive imaging technique : preliminary modelling and experiments , 2010 .

[11]  Wuqiang Yang,et al.  Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter , 2007 .

[12]  K. Preis,et al.  An edge finite element eddy current formulation using a reduced magnetic and a current vector potential , 2000 .

[13]  H. Griffiths Magnetic induction tomography , 2001 .

[14]  Wuqiang Yang Modelling of capacitance tomography sensors , 1997 .

[15]  Manuchehr Soleimani,et al.  Nonlinear image reconstruction for electrical capacitance tomography using experimental data , 2005 .

[16]  B. S. Hoyle,et al.  Engineering and application of a dual-modality process tomography system , 2007 .

[17]  Jari P. Kaipio,et al.  Modelling of internal structures and electrodes in electrical process tomography , 2001 .

[18]  Jarkko Ketolainen,et al.  Electrical capacitance tomography as a monitoring tool for high-shear mixing and granulation , 2011 .