Classification of ultrasonic NDE signals using the LMS algorithm and SAFT based imaging

被引：0
|
作者：
Kim, D [1 ]
机构：
[1] Dankook Univ, Dept Elect & Comp Engn, Cheonan 330714, Chungnam, South Korea
来源：
SEVENTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2005年
关键词：
classification; ultrasonic NDE; SAFT; LMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Ultrasonic inspection methods are widely used for detecting flaws in materials. One of the more popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an approach which uses LMS method to determine the coordinates of the ultrasonic probe followed by the use of SAFT to estimate the location of the ultrasonic reflector.
引用
收藏
页码：382 / 387
页数：6
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