Natural crack recognition using inverse neural model and multi-frequency eddy current method

Authors
Chady, T Enokizono, M Sikora, R Todaka, T Tsuchida, Y
Citation
T. Chady et al., Natural crack recognition using inverse neural model and multi-frequency eddy current method, IEEE MAGNET, 37(4), 2001, pp. 2797-2799
Citations number
6
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science
Journal title
IEEE TRANSACTIONS ON MAGNETICS
ISSN journal
00189464 → ACNP
Volume
37
Issue
4
Year of publication
2001
Part
1
Pages
2797 - 2799
Database
ISI
SICI code
0018-9464(200107)37:4<2797:NCRUIN>2.0.ZU;2-N
Abstract
In this paper a Multi-Frequency Excitation and Spectrogram Eddy Current Sys tem and an inverse neural model were used to detect and identify natural fl aws in steam generator tubes. It is shown that the applied dynamic neural m odel of the ECT sensor offers very high speed of operation and guarantees r eliability of the recognition results.