Weak fault signal detection of rolling bearing

The characteristics of local singularity of vibration signal under the wavelet transform are studied, and quantitative analysis of the noise reduction features of wavelet transform methods is carried out. Based on that the modulus maxima of the local singularity of fault vibration signal and noise of rolling bearing under wavelet transform has different propagation characteristics in different scales, the wavelet decomposition and reconstruction algorithms are used to conduct decomposition, noise reduction, re-structure and spectral analysis on vibration signals of the bearing. Experiment show that the wavelet noise reduction method is very suitable for fault frequency detection of weak vibration signal of rolling bearing in low SNR cases.