基于EEMD和Laplace小波的滚动轴承故障诊断

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。

Rolling bearing fault diagnosis based on EEMD and Laplace wavelet

Localized defects in rolling bearings tend to arouse several modes impulse responses in the vibration signals, which affect Laplace wavelet correlation filtering, a novel methodology based on EEMD and Laplace wavelet was proposed to extract the single mode impulse response mode parameters. Fistly, several modes impulse responses in the vibration signals were decomposed into several single mode impulse responses by EEMD. Secondly, the needed single mode impulse response was chosen from decomposed mode impulse responses. Thirdly, the chosen single mode impulse response was analyzed by Laplace wavelet correlation filtering, and then the fault can be diagnosed. The effectiveness of the proposed methodology is demonstrated with the simulation signal and signals of rolling bearing inner ring，outer ring and rolling element.