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Published in: Journal of Nondestructive Evaluation 3/2018

01-09-2018

Eddy Current Probe Parameters Identification Using a Genetic Algorithm and Simultaneous Perturbation Stochastic Approximation

Authors: Sid Ahmed Chaiba, Abdelghani Ayad, Djamel Ziani, Yann Le Bihan, Martin Javier Garcia

Published in: Journal of Nondestructive Evaluation | Issue 3/2018

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Abstract

This study tries to identify the coil parameters using numerical methods. The eddy current testing (ECT) is used for evaluation of a crack with the aid of numerical simulations by utilizing the identification of these parameters. In this study, a comparison of the performance of the GA and SPSA algorithms to identify the parameter values of the coil sensors are presented. So, the optimization probe geometry is introduced in the simulation with Three-dimensional finite element simulations (FLUX finite element code) were conducted to obtain eddy current signals resulting from a crack in a plate made of aluminium. The simulation results are compared with experimental measurements for the defect present in a plate.

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Metadata
Title
Eddy Current Probe Parameters Identification Using a Genetic Algorithm and Simultaneous Perturbation Stochastic Approximation
Authors
Sid Ahmed Chaiba
Abdelghani Ayad
Djamel Ziani
Yann Le Bihan
Martin Javier Garcia
Publication date
01-09-2018
Publisher
Springer US
Published in
Journal of Nondestructive Evaluation / Issue 3/2018
Print ISSN: 0195-9298
Electronic ISSN: 1573-4862
DOI
https://doi.org/10.1007/s10921-018-0506-0

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