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.
A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements / Salucci, M.; Oliveri, Giacomo; Viani, Federico; Miorelli, R.; Reboud, C.; Calmon, P.; Massa, Andrea. - (2015), pp. 900-901. (Intervento presentato al convegno 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304837].
A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements
M. Salucci;Oliveri, Giacomo;Viani, Federico;Massa, Andrea
2015-01-01
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.File | Dimensione | Formato | |
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A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements.pdf
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