Application of Neural Network to Estimation Dimension of Muscle Cracks in Eddy Current Testing

被引：0
作者：
Babaei, Abolghasem [1 ]
Rafiei, Saeid [2 ]
机构：
[1] Islamic Azad Univ, Aligoodarz Branch, Aligoodarz, Iran
[2] Arak Branch, Arak, Iran
来源：
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) | 2009年
关键词：
Nondestructive testing; eddy current; artificial neural network; finite element method; feed forward Backpropagation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1599 / +
页数：2
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