摘要
实际采样信号不可避免的会受到噪声的干扰,因此特征提取是故障诊断中的一个重要环节。小波是一种信号的时间-频率分析方法,在去除噪声方面有着显著的效果。文章对此在MATLAB环境下做了详尽的仿真研究,有效的去除了信号中的噪声。
Sampling signal will be inevitably polluted by all kinds of noise; therefore, feature extraction is a key link in fault diagnosis. Wavelet is time-frequency signal analysis method, and is shows a prominence effect in de-noise. We make a series of detailed simulation research on it under the MATLAB environment in this paper, and remove the noise of the signal effectively.
出处
《装备制造技术》
2008年第11期32-33,40,共3页
Equipment Manufacturing Technology
