Flaws tested by ultrasonic base on wavelet and fuzzy pattern recognition

被引：0
|
作者：
Zhao, Yonggang [1 ]
Zhang, Ze [1 ]
Gao, Zhiqi [1 ]
机构：
[1] Inner Mongolia Univ, Automat Dept, Hohhot 010021, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3 | 2008年
关键词：
ultrasonic testing; simulation model; wavelet analysis; fuzzy pattern recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of flaw classification in ultrasonic testing has not been solved so far. According to the echo signal of ultrasonic detection taking information of interface bonding quality, a method of flaw classification based on the combination of wavelet transform with fuzzy pattern recognition was presented. Method of extracting characteristic values reflecting the flaw properties using wavelet transformation and the method of quantificationally recognizing the characteristic values using the principle of closeness optimization of fuzzy pattern recognition were studied. An experimental system was used to test the method above. The experimental results show that by this method human effects on quantificational recognition of flaws can be reduce greatly and the better accuracy of flaw classification can be obtained.
引用
收藏
页码：1473 / 1477
页数：5
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