Research of probability characteristics in defect detection of composite materials using wavelet transform

被引：0
|
作者：
Gerasimov, VV [1 ]
Khandetsky, VS [1 ]
Gnoevoy, SN [1 ]
机构：
[1] Dnipropetrovsk Natl Univ, Radiophys Dept, UA-49000 Dnepropetrovsk, Ukraine
来源：
8th International Conference of the Slovenian Society for Non-Destructive Testing, Conference Proceedings: APPLICATION OF CONTEMPORARY NON-DESTRUCTIVE TESTING IN ENGINEERING | 2005年
关键词：
defectoscopy of composites; Fourier transformation; wavelet transform;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Composite materials with carbon reinforced fibres now are widely applied in aircraft and space techniques. The influence of roughness to sensor signal is amplified and becomes comparable and in some cases more amplitude of a modulation pulse of a surface defect. Statistical and probability researches spectral and wavelet methods of identification have been done. Methods have been tested on more than two millions copies of signals of surface cracks.
引用
收藏
页码：209 / 215
页数：7
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