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Target detection and characterization from electromagnetic induction data

Abstract : The goal of this paper is to contribute to the field of nondestructive testing by eddy currents. We provide a mathematical analysis and a numerical framework for simulating the imaging of arbitrarily shaped small-volume conductive inclusions from electromagnetic induction data. We derive, with proof, a small-volume expansion of the eddy current data measured away from the conductive inclusion. The formula involves two polarization tensors: one associated with the magnetic contrast and the second with the conductivity of the inclusion. Based on this new formula, we design a location search algorithm. We include in this paper a discussion on data sampling, noise reduction, and probability of detection. We provide numerical examples that support our findings.
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https://hal.archives-ouvertes.fr/hal-00933500
Contributor : Serena Benassù <>
Submitted on : Monday, January 20, 2014 - 3:47:03 PM
Last modification on : Friday, March 27, 2020 - 3:34:33 AM

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  • HAL Id : hal-00933500, version 1

Citation

Habib Ammari, Junqing Chen, Zhiming Chen, Josselin Garnier, Darko Volkov. Target detection and characterization from electromagnetic induction data. Journal de Mathématiques Pures et Appliquées, Elsevier, 2014, 101 (1), pp.54-75. ⟨hal-00933500⟩

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