Application of neural network to estimation dimension of muscle cracks in eddy current testing

Author

Babaei, Abolghasem ; Rafiei, Saeid

Author_Institution

Aligoodarz Branch, Young Res. Club, Islamic Azad Univ., Aligoodarz, Iran

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1600

Lastpage

1603

Abstract

Eddy current (EC) nondestructive testing (NDT) based on probe impedance changes in the crack regions is considered in this paper. For this a numerical simulation is introduced for the development of the EC-NDT system using 3D finite element software. This model is used to simulate the muscle cracks with various dimension and prepares the data required for artificial neural network. The neural network estimates dimension of new cracks using impedance changes of eddy current probe.

Keywords

eddy current testing; finite element analysis; muscle; neural nets; 3D finite element software; artificial neural network; eddy current testing; estimation dimension; muscle cracks; nondestructive testing; numerical simulation; probe impedance; Artificial neural networks; Eddy current testing; Eddy currents; Finite element methods; Impedance; Muscles; Neural networks; Nondestructive testing; Numerical simulation; Probes; Nondestructive testing; artificial neural network; eddy current; feed forward Backpropagation; finite element method;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393656

Filename

5393656