
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
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.
集合经验模态分解 / Laplace小波 / 相关滤波 / 滚动轴承 {{custom_keyword}} /
ensemble empirical mode decomposition (EEMD) / Laplace wavelet / correlation filtering / rolling bearing {{custom_keyword}} /
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