Nonlinear Integral Formulation and Neural Network-Based Solution for Reconstruction of Deep Defects With Pulse Eddy Currents

Author

Preda, Gabriel ; Hantila, Florea I.

Author_Institution

Electr. Eng. Dept., Politeh. Univ. of Bucharest, Bucharest, Romania

Volume

50

Issue

2

fYear

2014

fDate

Feb. 2014

Firstpage

113

Lastpage

116

Abstract

A method for reconstruction of defects buried deep under material surface of conductive nonlinear materials is proposed. Defects are approximated as zero thickness. Simulation of pulse eddy currents is done using an integral FEM method, with a polarization method with over-relaxation to speed up the nonlinear iterations, and a neural network method is used for the reconstruction of defects shape from the simulated signals.

Keywords

eddy current testing; finite element analysis; iterative methods; neural nets; polarisation; conductive nonlinear materials; deep defect reconstruction; integral FEM method; neural network-based solution; nondestructive testing; nonlinear integral formulation; nonlinear iterations; over-relaxation; polarization method; pulse eddy currents; Coils; Eddy currents; Geometry; Materials; Neural networks; Shape; Training; Eddy currents; neural networks (NNs); nondestructive testing; nonlinear magnetic;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2013.2283194

Filename

6749223