平稳小波变换在轴承振动信号去噪中的应用

Application of Stationary Wavelet Transform in De-nosing of Bearing Vibration Signal

为有效提取振动信号中的故障特征,提出了一种基于平稳小波变换的降噪方法,阈值大小取决于不同尺度上故障信号的小波分解系数的峭度。实例分析表明,该方法具有良好的去噪性能,并能很好地提取振动信号中的故障特征。

In order to effectively extract the fauh feature in the vibration signal, a de -noising method is proposed based on the stationary wavelet transform, and the threshold is determined by the kurtosis of wavelet coefficients of fault signal at different scales. The case analysis shows that the method has a good de - noising performance, and be able to extract the fault feature in the vibration signal.