Rolling bearing fault diagnosis based on EEMD and Laplace wavelet
Localized defects in rolling bearings tend to arouse multi-modal impulse responses appearing in vibration signals,these responses affect Laplace wavelet correlation filtering. Here,a novel methodology based on EEMD and Laplace wavelet was proposed to extractal modal parameters of a single modal impulse response. Fistly,multi-modal impulse responses in a vibration signal were decomposed into several single-modal impulse response components with EEMD. Secondly,the needed single-modal impulse response component was chosen from the decomposed components. Thirdly,the chosen single-modal impulse response component was analyzed with Laplace wavelet correlation filtering,and then the fault was diagnosed. The effectiveness of the proposed methodology was demonstrated by analyzing simulated signals and signals of a rolling bearing's inner ring,outer ring and rolling element.