relation: http://www.eledia.org/students-reports/716/
title: An Innovative Adaptive LBE Technique for Real-Time Crack Characterization: An Experimental Study
creator: Salucci, M.
creator: Anselmi, N.
creator: Oliveri, G.
creator: Massa, A.
subject: M LBE Learning-by-Example Methods
description: 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”.
publisher: University of Trento
date: 2016
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/716/1/An%20Innovative%20Adaptive%20LBE%20Technique%20for%20Real-Time%20Crack%20Characterization_%20An%20Experimental%20Study.pdf
identifier:   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.