Application of ultrasonic for pipeline flaw detection

被引：0
|
作者：
Zhou, Runjing [1 ]
Zhangfei [1 ]
机构：
[1] Inner Mongolia Univ, Coll Sci Technol, Dept Automat, Hohhot 010021, Peoples R China
来源：
ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL IV | 2007年
关键词：
wavelet neural network; noise; echo signal;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The principle of Ultrasonic detection and the detection method of the flaw signal are described. Wavelet neural network is used for signal processing of ultrasonic detection. This method that makes full use of characteristic of self-leaming for wavelet neural network reduces wave loss. And convergence speed is improved by modifying error function. It is proved that this method has the good effect and acquires exact location of the flaw and amplitude of the flaw signal, Wavelet neural network is the great significance for signal processing of ultrasonic detection.
引用
收藏
页码：472 / 475
页数：4
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