AE signal processing study based on HHT for GFRP

被引：0

作者：

Li, Wei ^{[1
]}

Wang, Yanru ^{[1
]}

Jiang, Peng ^{[1
]}

Dai, Guang ^{[1
]}

机构：

[1] Daqing Petr Inst, Coll Mech Sci & Engn, Daqing City, Heilongjiang Pr, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Hilbert-Huang transformation; Acoustic emission; Signal processing;

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：

In this paper, basic principles of Hilbert-Huang transformation and the theoretical basis, based on which Hilbert-Huang transformation can be applied to analysis acoustic emission signal of fiber reinforced plastics acquired during tensile tests, are expatiated simply. Moreover, through several practical signal processing examples, it is observed that time-frequency characteristics of AE signals are distinguished well at different stages of damage process. The results show that HHT can effectively retain inherent characteristics of signal sources, and it also has greater advantages in self-adaptive and segregation of time-frequency than other time-frequency analysis methods with good location and results visually.

引用

页码：113 / 116

页数：4

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