%0 Report
%9 Technical Report
%A Salucci, M.
%A Anselmi, N.
%A Oliveri, G.
%A Massa, A.
%D 2016
%F elediasc12:712
%K Eddy current testing, inverse scattering, nondestructive testing and evaluation, statistical learning, learning-by-examples, support vector regression
%T Fast Inversion of Eddy Current Testing Data Through a Learning-by-Examples Approach for Robust Crack Localization
%U http://www.eledia.org/students-reports/712/
%X This document presents a new learning-by-example (LBE) technique for the computationally-efficient inversion of eddy current testing (ECT) data in non-destructive testing and evaluation (NDT-NDE) scenarios. More precisely, the developed approach exploits a uniform sampling strategy to build a training set of input/output (I/O) pairs and exploits such information to train a Support Vector Regressor (SVR). During the on-line testing phase, previously-unseen ECT data are given as input to the trained model in order to predict the position of a single narrow crack within a planar conductive structure. Some representative numerical results are shown, in order to preliminarily assess the capabilities of the developed approach when dealing with the presence of a non-negligible amount of noise on test data.