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.
Type de document :
Article dans une revue
Journal de Mathématiques Pures et Appliquées, Elsevier, 2014, 101 (1), pp.54-75
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00933500
Contributeur : Serena Benassù <>
Soumis le : lundi 20 janvier 2014 - 15:47:03
Dernière modification le : jeudi 27 avril 2017 - 09:47:29

Identifiants

  • HAL Id : hal-00933500, version 1

Collections

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>

Partager

Métriques

Consultations de la notice

118