Salucci, M. and Anselmi, N. and Oliveri, G. and Massa, A. (2016) An Innovative Adaptive LBE Technique for Real-Time Crack Characterization: An Experimental Study. Technical Report. University of Trento.
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Abstract
This document deals with the real-time retrieval of the position of a crack embedded within a conductive planar structure starting from eddy current testing (ECT) measurements in a non-destructive testing and evaluation (NDT-NDE) scenario. Towards this end, an innovative adaptive learning-by-examples (LBE) technique has been developed. It is based on the innovative combination of a Partial Least Squares (PLS) features extraction technique and an adaptive sampling strategy to generate optimal training sets. Such information is used to train a Support Vector Regressor (SVR) in order to build a fast but accurate predictor of the crack descriptors staring from previously-unseen ECT measurements during the on-line testing phase. The proposed LBE inversion strategy, previously validated on numerical simulations, is here tested against real laboratory-controlled experimental data coming from the World Federation of NDE Centers (FNDEC) “2008 Eddy Current Benchmarks”.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Eddy current testing, inverse scattering, nondestructive testing and evaluation, statistical learning, learning-by-examples, support vector regression, output space filling, partial least squares, adaptive sampling |
| Subjects: | M Methodologies > M LBE Learning-by-Example Methods |
| URI: | http://www.eledia.org/students-reports/id/eprint/716 |
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