DocumentCode :
3676473
Title :
A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements
Author :
M. Salucci;G. Oliveri;F. Viani;R. Miorelli;C. Reboud;P. Calmon;A. Massa
Author_Institution :
ELEDIA Research Center, Department of Information Engineering and Computer Science, University of Trento, via Sommarive 9, 38123, Italy
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
900
Lastpage :
901
Abstract :
This work presents an innovative inversion method for non-destructive localization and characterization of defects based on a Learning-by-Example (LBE) approach. The qualitative imaging of the electromagnetic anomalies affecting a conductive structure is based on the exploitation of Eddy Current Testing (ECT) measurements through Support Vector Regression (SVR), enabling an evaluation of the structure under test almost in real-time. Some preliminary numerical results are shown in order to validate the effectiveness of the proposed method.
Keywords :
"Estimation","Eddy current testing","Support vector machines","Inspection","Inverse problems","Real-time systems","Noise measurement"
Publisher :
ieee
Conference_Titel :
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/APS.2015.7304837
Filename :
7304837
Link To Document :
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