电工技术学报2012，Vol.27Issue(4)：18-23,6.
电磁声发射的实验与信号识别研究
Signal Recognition and Experiment for Electromagnetically Induced Acoustic Emission
摘要
Abstract
Electromagnetically induced acoustic emission（EMAE） technique is a new nondestructive testing（NDT）.It does nondestructive detection with the effect of dynamic electromagnetic loading to generate a stress field stimulating stress waves from the defects.The principle and implementation procedure of the EMAE is analyzed.It adopts the neural network recognition method based on wave analysis.The characteristic parameters of EMAE signal are extracted using wavelet packet transform.The recognition system of back-propagation（BP） network consists of 10 input elements,18 hidden elements and single output.In order to overcome the shortcoming of low constringency speed,this paper proposes a kind of neural network recognition with adaptive number of neurons on the input layer method.The experiment results show it can identify the crack in the metal plate quickly and accurately.关键词
电磁声发射/信号处理/神经网络/信号识别Key words
Electromagnetically induced acoustic emission/signal processing/neural network/signal recognition分类
信息技术与安全科学引用本文复制引用
张闯,刘素贞,杨庆新,金亮,杨素梅..电磁声发射的实验与信号识别研究[J].电工技术学报,2012,27(4):18-23,6.基金项目
supported by the National Natural Science Foundation of China （）
the Natural Science Foundation of Hebei Province （）
the Research and Development Project of Seience and Technology of Hebei Province （）
