Higher order analysis of acoustic emission signals

被引：0
|
作者：
De la Rosa, JJG [1 ]
Lloret, I [1 ]
Ruzzante, JE [1 ]
Piotrkowski, R [1 ]
Armeite, M [1 ]
Pumarega, MIL [1 ]
机构：
[1] Univ Cadiz, Computat Elect Instrumentat Res Grp, TIC168, EPSA, E-11202 Cadiz, Spain
来源：
PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS | 2005年
关键词：
acoustic emission; acoustic signal processing; frequency domain analysis; frequency measurement; higher order statistics; nonlinearities; time-frequency analysis;
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：
Bispectrum enhances the identifcation of echoes in acoustic emission (AE) events occurring in samples from steel pipes under transversal strain. Diagonal bispectra (a time-varying version is suggested) allow the separation of the primary event and the secondary ones (echoes). Distorted reflections contain frequency components revealing non-linearities which characterize the reflecting surfaces. AE sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz 8-bit ADC.
引用
收藏
页码：296 / 300
页数：5
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