Fault Diagnosis of Rolling Bearings Based on SVMD-SES
The fault diagnosis of rolling bearings in complex industrial equipment is studied.Aiming at the difficulty to identify the weak transient shock features in rolling bearings of complex industrial equipment due to solid noise interference,a mechanical fault diagnosis method based on the square envelope spectrum and successive variational mode decomposition is proposed.Firstly,the successive variational modal decomposition is derived to reduce the modal mixing phenomenon and the computational complexity.Furthermore,the weighted kurtosis and cross-correlation coefficient are used to form the weighted correlation kurtosis,which filters the obtained components and extracts the genuine fault mode components.After-ward,the signal transient impact information is highlighted by the squared envelope spectrum for feature extraction.Finally,the bearing vibration data are collected through the laboratory platform to verify the analysis.The experimental results show that the proposed method can accurately identify the periodic transient shocks,effectively extract the weak features,and im-prove the accuracy and efficiency of fault diagnosis analysis of complex machines.
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