摘要
介绍了一种适合于管道应力波检测的基于小波变换的去噪方法。利用小波变换多尺度分析的优点, 根据有用信号和噪声在小波变换不同尺度下的传递特性的不同,进行小波系数阈值选取后,对剩余小波系数重建信号,得到有用信号的波形。结果表明,它能较好地抑制噪声,使信号的信噪比明显提高。
This paper presents a signal de-noising method using wavelet analysis in stress wave detection. 10 cycles narrow band signal modulated by HANNING window is chosen for excitation, which is simulated by prescribing axial transient displacement in the left end of the pipe model. The signal can be received in the right end. The Gaussian white noise is added to the received signal, then through wavelet decomposition and de-noising, the de-noising signal can be obtained. It is found that the signal-to-noise ration is improved obviously and the detection accuracy is promoted.
出处
《噪声与振动控制》
CSCD
北大核心
2006年第1期60-63,共4页
Noise and Vibration Control
关键词
声学
应力波检测
小波变换
去噪
acoustics
stress wave detection
wavelet analysis
de- noising
