摘要
将神经网络技术应用于涡流检测信号的自动识别与分类是目前无损检测界关注的问题。针对涡流检测信号输入神经网络前特征值提取问题研究了傅里叶描述符法的应用可行性并作了大量实验验证。
Close attention is paid on the application of neural network technology to automatic recognition and grading of eddy current signals in the field of NDT nowadays. The feasibility of the application of Fourier descrip-tors to the extraction of eddy current signal characteristics before their inputting into neural network has been studied and proved by experiments.
出处
《无损检测》
1999年第3期97-98,114,共3页
Nondestructive Testing
