eprintid: 712
rev_number: 11
eprint_status: archive
userid: 4
dir: disk0/00/00/07/12
datestamp: 2016-12-23 10:33:48
lastmod: 2024-10-17 07:25:30
status_changed: 2016-12-23 10:33:48
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Anselmi, N.
creators_name: Oliveri, G.
creators_name: Massa, A.
title: Fast Inversion of Eddy Current Testing Data Through a Learning-by-Examples Approach for Robust Crack Localization
ispublished: pub
subjects: MLBE
divisions: eledia
full_text_status: public
monograph_type: technical_report
keywords: Eddy current testing, inverse scattering, nondestructive testing and evaluation, statistical learning, learning-by-examples, support vector regression
abstract: 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.
date: 2016
publisher: University of Trento
referencetext: [1] M. Salucci, N. Anselmi, G. Oliveri, P. Calmon, R. Miorelli, C. Reboud, and A. Massa, "Real-time NDT-NDE through an innovative adaptive partial least squares SVR inversion approach," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 11, pp. 6818-6832, Nov. 2016. 
[2] M. Salucci, G. Oliveri, F. Viani, R. Miorelli, C. Reboud, P. Calmon, and A. Massa, "A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current testing measurements," in 2015 IEEE International Symposium on Antennas and Propagation, Vancouver, 2015, pp. 900-901.
[3] M. Salucci, S. Ahmed and A. Massa, "An adaptive Learning-by-Examples strategy for efficient Eddy Current Testing of conductive structures," in 2016 European Conference on Antennas and Propagation, Davos, 2016, pp. 1-4.
[4] P. Rocca, M. Benedetti, M. Donelli, D. Franceschini, and A. Massa, "Evolutionary optimization as applied to inverse problems," Inverse Probl., vol. 25, pp. 1-41, Dec. 2009.
[5] A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas Propag. Mag., pp. 224-238, vol. 57, no. 1, Feb. 2015.
[6] N. Anselmi, G. Oliveri, M. Salucci, and A. Massa, "Wavelet-based compressive imaging of sparse targets," IEEE Trans. Antennas Propag., vol. 63, no. 11, pp. 4889-4900, Nov. 2015. [7] M. Salucci, G. Oliveri, and A. Massa, "GPR prospecting through an inverse-scattering frequency-hopping multifocusing approach," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 12, pp. 6573-6592, Dec. 2015.
[8] T. Moriyama, G. Oliveri, M. Salucci, and T. Takenaka, "A multi-scaling forward-backward time-stepping method for microwave imaging," IEICE Electron. Express, vol. 11, no. 16, pp. 1-12, Aug. 2014.
[9] T. Moriyama, M. Salucci, M. Tanaka, and T. Takenaka, "Image reconstruction from total electric field data with no information on the incident field," J. Electromagnet. Wave., vol. 30, no. 9, pp. 1162-1170, 2016. 
[10] M. Salucci, L. Poli, and A. Massa, "Advanced multi-frequency GPR data processing for non-linear deterministic imaging," Signal Processing - Special Issue on "Advanced Ground-Penetrating Radar Signal-Processing Techniques," vol. 132, pp. 306-318, Mar. 2017.
citation:   Salucci, M. and Anselmi, N. and Oliveri, G. and Massa, A.  (2016) Fast Inversion of Eddy Current Testing Data Through a Learning-by-Examples Approach for Robust Crack Localization.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/712/1/Fast_Inversion_of_Eddy_Current_Testing_Data_Through_a_Learning-by-Examples_Approach_for_Robust_Crack_Localization.v2.pdf