Neural network approach to crack identification

Radosław Sikora , T. Chady , J Sikora

Abstract

The eddy current non-destructive testing of conductive materials is a well-known problem. There are a lot of different kinds of transducers. For one of them the mathematical model was built and the Inverse Problem formulated. In order to solve this problem the Artificial Neural Network approach, relatively new, was adopted. The public domain software, developed at Warsaw University of Technology, was used to teach the network. It was proved that a standard feedforward multilayered neural network is sufficient to identify the parameters of the defect with a satisfying accuracy.
Author Radosław Sikora RE
Radosław Sikora,,
- The Institute of Radioelectronics
, T. Chady
T. Chady,,
-
, J Sikora
J Sikora,,
-
Journal seriesInternational Journal of Applied Electromagnetics and Mechanics, ISSN 1383-5416
Issue year1998
Vol9
No4
Pages391-398
URL http://iospress.metapress.com/content/910WK4AG1JFK78Q6
Score (nominal)15
Publication indicators WoS Impact Factor: 2006 = 0.262 (2) - 2007=0.318 (5)
Citation count*12 (2013-01-30)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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