摘要
介绍了用涡流无损检测技术识别金属零件缺陷的一般方法。分析了信号处理技术在无损检测中的应用,主要探讨了小波变换的原理,研究了小波变换在涡流无损检测信号中的应用,分析并比较了人工神经网络中BP及RBF算法及其在缺陷涡流无损检测中的应用,对涡流无损检测技术的发展和应用前景做了简要的介绍。
In this article, general method of discerning the metal part defect in eddy current NDT is introduced. While discussing the application of signal processing technic, it mainly discusses the principle of wavelet transform, studies its application in eddy current NDT, and also mainly analyses and compares BP and RBF algorithm in artificial neural network, introduces its application in eddy current testing defect. The development and application of eddy current NDT are also discussed.
出处
《煤矿机械》
北大核心
2005年第7期7-8,共2页
Coal Mine Machinery
关键词
涡流检测
缺陷识别
信号处理和分析
eddy current testing
defect discerning
signal processing and analyzing
