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基于小波的声发射信号特征分析
Research on the Features of Acoustic Emission Signal Based on Wavelet
【摘要】 根据声发射信号的特点及实际应用中对声发射信号分析的需要,提出了一套声发射信号小波分析的小波基选取规则方法,根据提出的选择方法从常用的小波基中选出较适合声发射信号分析的几种,再通过对仿真的声发射信号进行分析得到结论:Daubechies小波、Symlets小波和Coiflets小波是适合于声发射信号分析的小波基.最后通过对能反映源特征的频带信号进行重构,这样能更好更有效的提取声发射信号的本质特征.
【Abstract】 At first,the rules how to select the suitable wavelets for acoustic emission signal processing were proposed based on the features of acoustic emission signal and the the application of wavelet analysis.Secondly,we chose several kinds of wavelets which are much fit for the acoustic emission from the common wavelets,and we drew the conclusion that Daubechies wavelet,Symlets wavelet and Coiflets wavelet were regarded to be suitable for acoustic emission.At last,we recomposed some frequency band of wavelets,and the results can efficiently extract the features of acoustic emission signal.
【Key words】 No-damage test; signal processing; acoustic emission; wavelet;
- 【文献出处】 兰州交通大学学报 ,Journal of Lanzhou Jiaotong University , 编辑部邮箱 ,2008年03期
- 【分类号】TB52
- 【被引频次】26
- 【下载频次】486