A method of extracting rotor fault features based on lifting wavelet denoising and LMD
Yong Chen · Mining & Processing Equipment · 2013
A method of extracting rotor fault features based on lifting wavelet denoising and local mean decomposition(LMD) was put forward. The LMD was good at analyzing the nonlinear and nonstationary signals, while sensitive to noises. In order to eliminate influence of noises on LMD decomposition effects,lifting wavelet was applied to denoise original signals, and then the denoised signals was decomposed by LMD.After that, effective PF components were selected to conduct spectral analysis, so as to extract the rotor fault features. The contrast between simulation with actual rotor fault feature extracting test showed the proposed method was effective in extraction of rotor fault features.