Improving the evaluation sensitivity of an ultrasonic pulse echo technique using a neural network classifier

被引：6
|
作者：
Thavasimuthu, M
Rajagopalan, C
Kalyanasundaram, P
Raj, B
机构：
[1] Division for PIE and NDT Development, Indira Gandhi Ctr. for Atom. Res., Kalpakkam
来源：
NDT & E INTERNATIONAL | 1996年 / 29卷 / 03期
关键词：
multiparameter approach; neural network classifier; weak signals; signal classification; ultrasonic testing;
D O I：
10.1016/0963-8695(96)80001-5
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
In this paper, the use of an artificial neural network (ANN) for classifying weak ultrasonic signals has been attempted. The limitations of using a single conventional parameter for signal detection and classification (namely peak amplitude alone) are highlighted. Use of a multi-parameter approach is suggested. The ANN used is a multi-layered, feedforward, error-backpropagation network. Results are compared with those of conventional approaches. Copyright (C) 1996 Elsevier Science Ltd
引用
收藏
页码：175 / 179
页数：5
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