一种基于小波分析的多层粘接结构缺陷信号提取方法

余春华; 张有峰; 齐杏林; 赵志宁

一种基于小波分析的多层粘接结构缺陷信号提取方法

1.
军械工程学院弹药工程系，石家庄050003
2.
总参炮兵训练基地，宣化075100

详细信息

作者简介:
余春华(1987-)，男，硕士研究生，研究方向为机电系统检测技术。

中图分类号: TB55;TG115.28
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出版历程
- 收稿日期: 2011-05-02
- 刊出日期: 2012-05-09

Research on an Extraction Method of Defect Signal of Multi-Layer Joint Based on Wavelet Analysis

摘要

摘要: 为了检测钢板和多层橡胶材料粘接而成的复合材料中的脱粘缺陷，采用了成熟的超声检测技术。对已有的超声波探伤仪进行了改造、并利用高速采集卡和LabVIEW开发环境，搭建了一套超声信号计算机采集分析系统。编程实现了对回波信号的采集，并在LabVIEW中调用Matlab脚本节点对信号进行了db7小波分解和重构。对第一层橡胶下有无脱粘缺陷的试件进行了对比试验，试验结果显示，脱粘区和粘好区的信号重构后有显著差异，表明该小波分析法可以有效地检测出第一层橡胶下的脱粘缺陷。
- 粘接结构 /
- 超声检测 /
- 小波分析
Abstract: In order to detect the debond defect of multilayer metal-rubber adhesive joint, the mature ultrasonic detecting technique was used. By rebuilding an existing ultrasonic detecting instrument, utilizing a high speed data acquisition card and LabVIEW developing environment, an ultrasonic signal acquisition and analysis platform was successfully built. Echo signal acquisition was programmed. The signal was decompose and reconstructed utilizing db7 wavelet by Matlab script node in LabVIEW. A contrast experiment was carried out on two specimens having debond defect. The result shows that the reconstructed signals are remarkably different between areas bonded well and not, which indicates that the wavelet analysis method is effective in detecting the debond defect under the first rubber layer.
- Adhesive joint /
- Ultrasonic detection /
- Wavelet analysis

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参考文献(3)

[1]	葛哲学，沙威.小波分析理论与MATLAB R2007实现［M］.北京：电子工业出版社,2007.
[2]	敦怡，师小红，徐章遂.基于小波包变换的金属基复合材料深层界面脱粘缺陷特征提取［J］.无损检测,2007,29(12):705-721.
[3]	李建文，王增勇，汤光平.金属壳体粘接结构件的超声检测［J］.无损检测,2010,32(4):283-285.

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一种基于小波分析的多层粘接结构缺陷信号提取方法

作者简介: 余春华(1987-)，男，硕士研究生，研究方向为机电系统检测技术。

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出版历程

Research on an Extraction Method of Defect Signal of Multi-Layer Joint Based on Wavelet Analysis

计量

出版历程

目录

作者简介:
余春华(1987-)，男，硕士研究生，研究方向为机电系统检测技术。