DocumentCode
1535449
Title
Signal restoration using dynamic neural network model for eddy current nondestructive testing
Author
Chady, Tomasz ; Enokizono, Masato ; Sikora, Ryszard
Author_Institution
Oita Ind. Res. Inst., Japan
Volume
37
Issue
5
fYear
2001
fDate
9/1/2001 12:00:00 AM
Firstpage
3737
Lastpage
3740
Abstract
In this paper we propose to use a multi-frequency excitation and spectrogram (MFES) eddy current testing method and a neural network model to flaw signal restoration in case of presence of interferences from fasteners and subsurface structures. The extended experiments with various interfering structures were performed in order to verify the usability of the proposed restoration method. The selected results of numerical simulations are presented
Keywords
eddy current testing; flaw detection; inverse problems; neural nets; signal restoration; dynamic neural network model; eddy current nondestructive testing; fastener; flaw detection; interference; inverse problem; multi-frequency excitation spectrogram; numerical simulation; signal restoration; subsurface structure; Eddy currents; Fasteners; Frequency; Interference; Neural networks; Nondestructive testing; Numerical simulation; Shape; Signal restoration; Spectrogram;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.952702
Filename
952702
Link To Document