Rolling Bearing Signal Denoising Based on Wavelet Neighboring Coefficients Combined with Improved Shrinkage Threshold

In order to reduce noise in signal contaminated by strong noise, a joint denoising method wavelet adjacent coefficients combined with shrinkage threshold is proposed. The threshold function is improved to some extent. By adjustingthe parameters of the adjacent coefficients of the wavelet adaptively, after the decorrelation of wavelet adjacent coefficients combining it with the shrinkage threshold, the noise reduction experiment of the bearing simulation signals contaminated by strong noise is carried out. The experimental results show that the denoising effect of this method is better than one of the two methods used alone. The method is applied to the actual bearing fault diagnosis. The results show that the denoising method can effectively extract the characteristic frequency of bearing fault.