DocumentCode
1397912
Title
Neural network models of eddy current multi-frequency system for nondestructive testing
Author
Chady, Tomasz ; Enokizono, Masato ; Sikora, Ryszard
Author_Institution
Oita Ind. Res. Inst., Japan
Volume
36
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
1724
Lastpage
1727
Abstract
The purpose of this paper is to present new neural network models used for eddy current multi-frequency system simulation and flaws identification. Forward dynamic neural network models are proposed as the solution of this problem. The extended experimental verification of the developed technique is done and the results confirming usability of the models are presented
Keywords
eddy current testing; flaw detection; inverse problems; neural nets; MFES method; computer simulation; eddy current multi-frequency system; flaw reconstruction; forward dynamic neural network model; inverse problem; nondestructive testing; Coils; Eddy currents; Frequency; Inspection; Inverse problems; Neural networks; Nondestructive testing; Signal processing; Spectrogram; Usability;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.877775
Filename
877775
Link To Document