A quasi real-time inversion strategy is presented for groove characterization of a conductive non-ferromagnetic tube structure by exploiting eddy current testing (ECT) signal. Inversion problem has been formulated by non-iterative Learning-by-Examples (LBE) strategy. Within the framework of LBE, an efficient training strategy has been adopted with the combination of feature extraction and a customized version of output space filling (OSF) adaptive sampling in order to get optimal training set during offline phase. Partial Least Squares (PLS) and Support Vector Regression (SVR) have been exploited for feature extraction and prediction technique respectively to have robust and accurate real time inversion during online phase.

Real time groove characterization combining partial least squares and SVR strategies: application to eddy current testing / Ahmed, Shamim; Salucci, Marco; Miorelli, R.; Anselmi, Nicola; Oliveri, Giacomo; Calmon, P.; Reboud, C.; Massa, Andrea. - STAMPA. - (2017), pp. 1-7. ((Intervento presentato al convegno 7h International Workshop on New Computational Methods for Inverse Problems, NCMIP 2017 tenutosi a Paris-Saclay nel 12th May 2017.

Real time groove characterization combining partial least squares and SVR strategies: application to eddy current testing

Salucci Marco;Anselmi Nicola;Oliveri Giacomo;Massa Andrea
2017

Abstract

A quasi real-time inversion strategy is presented for groove characterization of a conductive non-ferromagnetic tube structure by exploiting eddy current testing (ECT) signal. Inversion problem has been formulated by non-iterative Learning-by-Examples (LBE) strategy. Within the framework of LBE, an efficient training strategy has been adopted with the combination of feature extraction and a customized version of output space filling (OSF) adaptive sampling in order to get optimal training set during offline phase. Partial Least Squares (PLS) and Support Vector Regression (SVR) have been exploited for feature extraction and prediction technique respectively to have robust and accurate real time inversion during online phase.
7th International Workshop on New Computational Methods for Inverse Problems (NCMIP 2017)
Bristol
Institute of Physics Publishing
9781510850354
Ahmed, Shamim; Salucci, Marco; Miorelli, R.; Anselmi, Nicola; Oliveri, Giacomo; Calmon, P.; Reboud, C.; Massa, Andrea
Real time groove characterization combining partial least squares and SVR strategies: application to eddy current testing / Ahmed, Shamim; Salucci, Marco; Miorelli, R.; Anselmi, Nicola; Oliveri, Giacomo; Calmon, P.; Reboud, C.; Massa, Andrea. - STAMPA. - (2017), pp. 1-7. ((Intervento presentato al convegno 7h International Workshop on New Computational Methods for Inverse Problems, NCMIP 2017 tenutosi a Paris-Saclay nel 12th May 2017.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/188238
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