基于MATLAB的振动信号去噪研究

在信源定位或设备故障诊断中,通过数据采集器采样得到的振动信号数据中往往叠加有噪声,使得其中有用的特征信息也常常被淹没在噪声之中。为了将数据尽可能真实地还原成实际振动状况,提取真实信号的特征,须对干扰信号进行去噪。文中首先对实测振动信号消除了趋势项,并用切比雪夫带通滤波器和小波软阈值法对信号去噪。仿真结果表明：小波软阈值法去噪比切比雪夫滤波器去噪效果明显,且保留了原信号的细节特征,具有较高的使用价值。

Vibration signal denoising research based on the MATLAB

In source orientation or equipment fault diagnosis,the vibration signal data sampled by data collector often superpose noise, useful feature information always submerges in the noise.In order to restore data into practical vibration condition veritably as far as possible,it need to denoise the jamming signal and extract the feature of the signal. In the paper,it eliminated tendency item of the vibration signal firstly,used chebyshev band-pass filters and wavelet soft-threshold method to denoise the signal.S...