Real-Time Flaw Characterization Through Learning-by-Examples Techniques: A Comparative Study Applied to ECT

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.
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Article dans une revue
Studies in Applied Electromagnetics and Mechanics, 2017, 42, pp.228-235. 〈10.3233/978-1-61499-767-2-228〉
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https://hal.archives-ouvertes.fr/hal-01774317
Contributeur : Andrea Massa <>
Soumis le : lundi 23 avril 2018 - 15:19:32
Dernière modification le : jeudi 7 février 2019 - 16:46:05

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Shamim Ahmed, Roberto Miorelli, Marco Salucci, Andrea Massa. Real-Time Flaw Characterization Through Learning-by-Examples Techniques: A Comparative Study Applied to ECT. Studies in Applied Electromagnetics and Mechanics, 2017, 42, pp.228-235. 〈10.3233/978-1-61499-767-2-228〉. 〈hal-01774317〉

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