Composite damage identification based on lamb wave and redundant second generation wavelet

机译：基于兰姆波和冗余第二代小波的复合损伤识别

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Aiming at achieving composite materials damage identification of Structure Health Monitoring (SHM), an preprocessing algorithm of Redundant Second Generation Wavelet (RSGW) considering neighboring coefficients is introduced, which can denoises Lamb wave signals from noise flooding and structure complexity conditions for damage features extraction and further calculations. The practicability is validated through experiment operated in composite damage monitoring system.

机译：为了实现结构健康监测（SHM）复合材料损伤识别，引入了考虑相邻系数的冗余第二代小波（RSGW）预处理算法，该算法可以从噪声泛洪和结构复杂性条件中去除兰姆波信号，以进行损伤特征提取和提取。进一步的计算。通过在复合材料损伤监测系统中进行的实验验证了该实用性。

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来源
《Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International》|2012年|p.2216- 2220|共5页
会议地点 Graz(AT)
作者
Li X.; Chen X.; Yang Z.; Zhu X.;
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作者单位

State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Shaanxi, China;

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原文格式 PDF
正文语种 eng
中图分类计量学;
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5. Composite damage identification based on lamb wave and redundant second generation wavelet [C] . Li X., Chen X., Yang Z., IEEE International Instrumentation and Measurement Technology Conference . 2012

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Composite damage identification based on lamb wave and redundant second generation wavelet

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