Evaluation of Acoustic Emission Signal Parameters for Identifying the Propagation of Discontinuities in Pressurized Tubes

被引:0
|
作者
da Silva, Romeu Ricardo [1 ]
Mery, Domingo [1 ]
Soares, Sergio Damasceno
机构
[1] Pontificia Univ Catolica Chile, Dept Ciencia Computac, Santiago, Chile
关键词
nondestructive testing; acoustic emission; pattern recognition; artificial neural networks; discontinuity propagation;
D O I
暂无
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Acoustic emission tests are highly relevant among nondestructive tests applied to equipment in the petroleum industry. This paper presents methodologies for the classification of acoustic emission patterns obtained in testing to identify the propagation of discontinuities in pressurized tribes. This work is a continuation of previous research. To estimate the accuracy of tire classification and give greater reliability to previous results, rise is made in this paper of new signals with a greater number of parameters, and some new methodologies not used in previous work are presented here. The new results show tire efficiency of the pattern classification techniques implemented.
引用
收藏
页码:493 / 500
页数:8
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