摘要
针对光纤法珀传感器检测到的声发射信号会被大量的噪声所湮没的问题,采用Sym小波系列中的Sym8小波对含有大量噪声的声发射信号进行分析,并用软阈值去噪方法消去声发射信号中携带的大部分噪声。采取先提取有用信号,再对有用信号进行二次分解,然后设定阈值,在保证声发射信号信息没有损失的情况下很好地滤除了噪声,使声发射信号更平滑,易于分析。试验结果表明选取适当的小波分解级数和合理的阈值门限,可很大程度地提高重构后信号的识别度,对声发射信号采用小波方法去噪可达到较理想的效果。
The AE signal detected with fiber-optic Fabry-Perot sensors contained various noise signals. The research to de-noise the fiber-optic Fabry-Perot AE signal by wavelet transformation was carried on, and the optimum wavelet and resolving level were chosen. To de-noise the AE signal, Sym8 wavelet and soft threshold de-noising method were adopted. The fiber-optic Fabry-Perot AE signal was well de-noised with no AE signal information losing. According to the results, through the selection of basic wavelet, resol...
出处
《无损检测》
北大核心
2008年第5期276-279,共4页
Nondestructive Testing
基金
航空科学基金资助项目(2007ZE53050)
关键词
光纤法珀传感器
声发射信号
小波分析
去噪处理
Fiber-optic Fabry-Perot
Acoustic emission signal
Wavelet analysis
De-noising processing
