小波分析降噪方法在碰磨和突加不平衡信号特征提取中的应用

The Application of Wavelet Denoising Method in the Fault Feature Extraction of Friction and Sudden Unbalance Signal

研究了小波分析降噪方法在碰磨和突加不平衡信号特征提取中的应用。碰磨信号和突加不平衡信号均具有较强的非平稳性。小波分析降噪方法具有自适应和多分辨率分析的特点,适合于对非平稳信号进行滤波处理。通过仿真和实验分析,并将结果与传统的低通滤波方法进行比较。结果表明:小波分析降噪方法能够有效抑制碰磨和突加不平衡信号中的噪声并保留故障特征信息。

The paper studies the application of wavelet denoising method in the fault feature extraction of friction and sudden unbalance signal. Both the friction signal and sudden unbalance signal features nonstationarity. The wavelet denosing method has the adaptive and multi - resalution feature, fit for the filtering of nonstationary signal. By emulational and experimental analysis, compare the results with the lowpass filtering method. The results show that the wavelet denoising method can effectively restrain the noise in friction and sudden unbalance signal, and reserve the fault character information in the signals.