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基于小波的声发射信号特征分析 被引量:3

Research on the Features of Acoustic Emission Signal Based on Wavelet
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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. 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 Daubeehies wavelet,Symlets wavelet and Coiflets wavelet were regarded to be suitable for acoustic emission. At last, we reeomposed some frequency band of wavelets,and the results can efficiently extract the features of acoustic emission signal.
出处 《兰州交通大学学报》 CAS 2008年第3期123-125,共3页 Journal of Lanzhou Jiaotong University
基金 国家自然科学基金(10574059) 甘肃省自然科学基金(3ZSO42-B25-033) 兰州交通大学"青蓝"人才工程计划 光电技术与智能控制教育部重点实验室开放基金(K040101)
关键词 无损检测 信号处理 声发射 小波 No-damage test signal processing acoustic emission wavelet
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