摘要
介绍涡流检测信号处理技术中特征值的提取方法 ,以及利用神经网络和信息融合技术进一步对信号进行分类、识别和评价的技术发展 。
The methods for feature extraction in eddy current signal processing and the applications of neural network and data fusion to signal classification, identification and evaluation are described. The trend of inverse problem solution and the choice of signal processing method according to signal characteristics in eddy current testing are also discussed.
出处
《无损检测》
2003年第8期423-427,共5页
Nondestructive Testing
