This work deals with the real-time non-destructive testing and evaluation (NDT/NDE) of conductive tubes. An innovative learning-by-examples (LBE) strategy is proposed to address the inversion of eddy current testing (ECT) data. The partial least squares (PLS) features extraction technique is combined with an output space filling (OSF) adaptive sampling strategy in order to collect as much as possible information about the input/output (I/O) relationship to model, mitigating the negative effects of the curse of dimensionality. Robust and accurate predictions are then performed by means of support vector regression (SVR). A preliminary numerical validation is shown to prove the effectiveness of the approach.

Real-time crack characterization in conductive tubes through an adaptive partial least squares approach / Salucci, Marco; Ahmed, Shamim; Anselmi, Nicola; Oliveri, Giacomo; Calmon, Pierre; Miorelli, Roberto; Reboud, Christophe; Massa, Andrea. - STAMPA. - (2017), pp. 21-22. ((Intervento presentato al convegno 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting tenutosi a San Diego, CA, USA nel 9-14 July 2017 [10.1109/APUSNCURSINRSM.2017.8072053].

Real-time crack characterization in conductive tubes through an adaptive partial least squares approach

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

Abstract

This work deals with the real-time non-destructive testing and evaluation (NDT/NDE) of conductive tubes. An innovative learning-by-examples (LBE) strategy is proposed to address the inversion of eddy current testing (ECT) data. The partial least squares (PLS) features extraction technique is combined with an output space filling (OSF) adaptive sampling strategy in order to collect as much as possible information about the input/output (I/O) relationship to model, mitigating the negative effects of the curse of dimensionality. Robust and accurate predictions are then performed by means of support vector regression (SVR). A preliminary numerical validation is shown to prove the effectiveness of the approach.
2017 IEEE Antennas and Propagation Society International Symposium Proceedings
Piscataway, NJ
IEEE
978-1-5386-3284-0
Salucci, Marco; Ahmed, Shamim; Anselmi, Nicola; Oliveri, Giacomo; Calmon, Pierre; Miorelli, Roberto; Reboud, Christophe; Massa, Andrea
Real-time crack characterization in conductive tubes through an adaptive partial least squares approach / Salucci, Marco; Ahmed, Shamim; Anselmi, Nicola; Oliveri, Giacomo; Calmon, Pierre; Miorelli, Roberto; Reboud, Christophe; Massa, Andrea. - STAMPA. - (2017), pp. 21-22. ((Intervento presentato al convegno 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting tenutosi a San Diego, CA, USA nel 9-14 July 2017 [10.1109/APUSNCURSINRSM.2017.8072053].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/195181
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