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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Soleimani, Manuchehr
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2022Laboratory Investigation of Tomography-Controlled Continuous Steel Castingcitations
- 2021Interior Void Classification in Liquid Metal using Multi-Frequency Magnetic Induction Tomography with a Machine Learning Approachcitations
- 2020Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materialscitations
- 2018Real-time control of the mould flow in a model of continuous casting in frame of the TOMOCON project
- 2017A novel metal flow imaging using electrical capacitance tomographycitations
- 2017Planar array capacitance imaging sensor design optimisationcitations
- 2011Crack detection in dielectric objects using electrical capacitance tomography imagingcitations
- 2010Crack detection in dielectric objects using electrical capacitance tomography
- 2010Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor modelcitations
- 2010Helmholtz-type regularization method for permittivity reconstruction using experimental phantom data of ECTcitations
- 2009Four-dimensional electrical capacitance tomography imaging using experimental datacitations
- 2006A three-dimensional inverse finite-element method applied to experimental eddy-current imaging datacitations
- 2005Nonlinear image reconstruction for electrical capacitance tomography using experimental datacitations
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article
A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data
Abstract
Eddy-current techniques can be used to create electrical conductivity mapping of an object. The eddy-current imaging system in this paper is a magnetic induction tomography (MIT) system. MIT images the electrical conductivity of the target based on impedance measurements from pairs of excitation and detection coils. The inverse problem here is ill-posed and nonlinear. Current state-of-the-art image reconstruction methods in MIT are generally based on linear algorithms. In this paper, a regularized Gauss-Newton scheme has been implemented based on an edge finite-element forward solver and an efficient formula for the Jacobian matrix. Applications of Tikhonov and total variation regularization have been studied. Results are presented from experimental data collected from a newly developed MIT system. The paper also presents further progress in using an MIT system for molten metal flow visualization in continuous casting by applying the proposed algorithm in a real experiment in a continuous casting pilot plant of Corus RD&T, Teesside Technology Centre. © 2006 IEEE.