AE behaviors evaluation with BP neural network

被引：0

作者：

Cheng, Runwei ^{[1
]}

Tozawa, Tatsumi ^{[1
]}

Gen, Mitsuo ^{[1
]}

Kato, Hajime ^{[1
]}

Takayama, Yoshimasa ^{[1
]}

机构：

[1] Utsunomiya Univ, Utsunomiya, Japan

来源：

Computers and Industrial Engineering | 1996年 / 31卷 / 3-4期

关键词：

Acoustic emissions - Algorithms - Backpropagation - Computer simulation - Crack propagation - Fatigue testing - Magnesium alloys - Nondestructive examination;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper reports our experiment on training a three layer forwards neural network with back-propagation algorithm (BP) to memorize acoustic emission (AE) behaviors of magnesium alloy during fatigue test process and perform the mapping from AE behaviors to fatigue crack propagation. This study reveals the potential possibility of using artificial neural networks for automated AE testing. Simulation results are very encouraging and conclusively in favor of this attempt.

引用

页码：867 / 871

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