基于EEMD和Laplace小波的滚动轴承故障诊断

Rolling bearing fault diagnosis based on EEMD and Laplace wavelet

滚动轴承故障导致振动信号中出现多阶模态冲击响应,为了提取单阶模态冲击响应的模态参数,由于Laplace小波相关滤波受多阶模态冲击响应的影响,提出一种基于EEMD和Laplace小波的滚动轴承故障诊断方法。先用EEMD把振动信号中的多阶模态脉冲响应分解为各单阶模态冲击响应分量,然后用从分解的分量的频谱中选取所需的单阶模态冲击响应分量,再用Laplace小波相关滤波对选取的单阶模态冲击响应分量进行分析,便可以诊断出故障。通过对仿真信号和滚动轴承内圈、外圈、滚动体数据分析很好地验证了提出的方法的有效性。

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.