Diagnosis of Weak Fault of Rolling Bearing Based on EEMD and Envelope Spectrum Analysis

2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)(2021)

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摘要
As the vibration features of roller signals of rolling bearing are weak and difficult to be extracted and diagnosed, a new fault diagnosis method based on ensemble empirical mode decomposition (EEMD) and envelope spectrum analysis is used in this paper to solve the problem. The weak fault vibration signals of rolling bearing are decomposed by EEMD firstly. Considering that the kurtosis value is ve...
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关键词
Vibrations,Fault diagnosis,Empirical mode decomposition,Rolling bearings,Feature extraction,Frequency conversion,Signal reconstruction
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