首页 | 本学科首页   官方微博 | 高级检索  
     


AE behaviors evaluation with bp neural network
Authors:Runwei Cheng  Tatsumi TosawaMitsuo Gent  Hajime Kato and Yoshimasa Takayama
Affiliation:

a Graduate School of Engineering Utsunomiya University, Utsunomiya 341, Japan

b Department of Industrial and Systems Engineering Ashikaga Institute of Technology, Ashikaga 348, Japan

Abstract:This paper reports our experiment on training a three layer forwards neural network with backpropagation algorithm (BP) to memorise 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.
Keywords:Acoustic emission  nondestructive evaluation  neural networks  BP algorithm  magnesium alloy
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号