Using a wavelet network for reconstruction of fatigue crack depth profile from AC field measurement signals

被引：16

作者：

Ravan, M. ^{[1
]}

Sadeghi, S. H. H. ^{[1
]}

Moini, R. ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran 1591634311, Iran

来源：

NDT & E INTERNATIONAL | 2007年 / 40卷 / 07期

关键词：

fatigue crack; sizing; metals; alternating current field measurement; wavelet network;

D O I：

10.1016/j.ndteint.2007.04.001

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

This paper presents a wavelet-network-based technique for reconstructing the crack depth profile of a fatigue crack in a metal from the output signal of an alternating current field measurement (ACFM) probe. The main feature of this technique is that it requires only the ACFM probe output signals along the crack opening. The database for training the network is established by developing a random crack-depth generator, using a fast pseudo-analytic ACFM probe output simulator. The validity of the proposed technique is demonstrated by comparing the actual and reconstructed depth profiles of several simulated and machine-made cracks with no predetermined geometries. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：537 / 544

页数：8

共 23 条

[1]

[Anonymous], 2001, Handbook of Nondestructive Evaluation

[2] NDT IDENTIFICATION OF A CRACK USING ANNS WITH STOCHASTIC GRADIENT DESCENT [J].