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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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document
Crack detection in dielectric objects using electrical capacitance tomography
Abstract
<p>Dielectric materials are becoming widely used because of their versatility and lowcost. Examples include carbon fibre, glass reinforced plastic, polymers and ceramics. These materials are increasingly used for aircraft structures and other important areas, such as transportation in gas pipelines, whose materials require regular inspection. There is a need for a new technology for rapid inspection of dielectric materials. This paper is focusing in one of the most challenging material inspection problems using an electrical capacitance tomography (EIT) system. We show that volume cracks could be detected using ECT data using state of the art shape reconstruction algorithm. The reconstruction of cracks is not possible using conventional image based approach that is used in the industrial process tomography application of ECT.</p>