In this paper, real time flaw characterization inside the structure under test (SUT) exploiting Learning by Examples (LBE) strategies is illustrated in the framework of Electromagnetic NDT (E-NDT). In particular, several LBE methodologies are investigated when dealing with the inversion of Eddy Current Testing (ECT) data. The performance of LBE algorithms is evaluated in terms of CPU time efficiency, and prediction accuracy on noisy data. Towards this end, a comparison between different regression techniques is shown by considering both synthetic and real experimental ECT data.
Real-time flaw characterization through learning-by-examples techniques: a comparative study applied to ECT / Ahmed, S.; Miorelli, R.; Salucci, M.; Massa, and A.. - STAMPA. - (2016), pp. 228-235. (Intervento presentato al convegno 21th International Workshop on Electromagnetic Nondestructive Evaluation 2016 tenutosi a LIsbona nel 25th-28nd September 2016).
Real-time flaw characterization through learning-by-examples techniques: a comparative study applied to ECT
M. Salucci;and A. Massa
2016-01-01
Abstract
In this paper, real time flaw characterization inside the structure under test (SUT) exploiting Learning by Examples (LBE) strategies is illustrated in the framework of Electromagnetic NDT (E-NDT). In particular, several LBE methodologies are investigated when dealing with the inversion of Eddy Current Testing (ECT) data. The performance of LBE algorithms is evaluated in terms of CPU time efficiency, and prediction accuracy on noisy data. Towards this end, a comparison between different regression techniques is shown by considering both synthetic and real experimental ECT data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
