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Statements

Subject Item
n2:RIV%2F68407700%3A21720%2F14%3A00216306%21RIV15-MSM-21720___
rdf:type
skos:Concept n10:Vysledek
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S0263224114000499#
dcterms:description
Eddy current testing (ECT) is a non-destructive technique that can be used in the measurement of conductive material thickness. In this work ECT and a machine learning algorithm (support vector machine - SVM) are used to determine accurately the thickness of metallic plates. The study has been made with ECT measurements on real specimens. At a first stage, a few number of plates is considered and SVM is used for a multi-class classification of the conductive plate thicknesses within a finite number of categories. Several figures of merit were tested to investigate the features that lead to %22good%22 separating hyperplanes. Then, based on a SVM regressor, a reliable estimation of the thickness of a large quantity of plates is tested. Eddy currents are induced by imposing a voltage step in an excitation coil (transient eddy currents - TEC), while a giant magnetoresistance (GMR) is the magnetic sensor that measures the transient magnetic field intensity in the sample vicinity. An experimental validation procedure, including machine training with linear and exponential kernels and classification errors, is presented with sets of samples with thicknesses up to 7,5 mm. Eddy current testing (ECT) is a non-destructive technique that can be used in the measurement of conductive material thickness. In this work ECT and a machine learning algorithm (support vector machine - SVM) are used to determine accurately the thickness of metallic plates. The study has been made with ECT measurements on real specimens. At a first stage, a few number of plates is considered and SVM is used for a multi-class classification of the conductive plate thicknesses within a finite number of categories. Several figures of merit were tested to investigate the features that lead to %22good%22 separating hyperplanes. Then, based on a SVM regressor, a reliable estimation of the thickness of a large quantity of plates is tested. Eddy currents are induced by imposing a voltage step in an excitation coil (transient eddy currents - TEC), while a giant magnetoresistance (GMR) is the magnetic sensor that measures the transient magnetic field intensity in the sample vicinity. An experimental validation procedure, including machine training with linear and exponential kernels and classification errors, is presented with sets of samples with thicknesses up to 7,5 mm.
dcterms:title
An SVM Approach with Electromagnetic Methods to Assess Metal Plate Thickness An SVM Approach with Electromagnetic Methods to Assess Metal Plate Thickness
skos:prefLabel
An SVM Approach with Electromagnetic Methods to Assess Metal Plate Thickness An SVM Approach with Electromagnetic Methods to Assess Metal Plate Thickness
skos:notation
RIV/68407700:21720/14:00216306!RIV15-MSM-21720___
n3:aktivita
n14:P
n3:aktivity
P(ED3.1.00/13.0283)
n3:cisloPeriodika
August
n3:dodaniDat
n9:2015
n3:domaciTvurceVysledku
n6:5074363
n3:druhVysledku
n17:J
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
2537
n3:idVysledku
RIV/68407700:21720/14:00216306
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Eddy current testing; ECT; Giant magneto resistance; GMR; Transient eddy current; Pulsed eddy current; Nondestructive testing; Support vector machine; SVM; Thickness measurement
n3:klicoveSlovo
n4:Nondestructive%20testing n4:Transient%20eddy%20current n4:SVM n4:Eddy%20current%20testing n4:Giant%20magneto%20resistance n4:Pulsed%20eddy%20current n4:ECT n4:Support%20vector%20machine n4:Thickness%20measurement n4:GMR
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[2BA6239AE5C4]
n3:nazevZdroje
Measurement
n3:obor
n19:JB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n12:ED3.1.00%2F13.0283
n3:rokUplatneniVysledku
n9:2014
n3:svazekPeriodika
54
n3:tvurceVysledku
Rocha, T. Král, Jakub Pasadas, D. Ribeiro, A. L. Ramos, H. G.
n3:wos
000336613600022
s:issn
0263-2241
s:numberOfPages
6
n13:doi
10.1016/j.measurement.2014.01.035
n7:organizacniJednotka
21720