Abstract
Aiming at the problems that early acoustic signals of rolling bearings are easily disturbed by noise and have low signal-to-noise ratio (SNR), a fault diagnosis method for rolling bearings based on variational mode decomposition (VMD) and cyclostationary analysis was proposed. Firstly, according to the correlation coefficient index, the appropriate mode number of different signals is determined adaptively, and the original signals are decomposed by VMD using the determined mode number to obtain some intrinsic mode components (IMF). Secondly, choose the best IMF according to the criterion of maximum kurtosis. Finally, the enhanced envelope spectrum analysis based on cyclostationary analysis is carried out for the selected best IMF. The proposed method is applied on actual sound data, and the results show that the method reduces the influence of noise, and can realize the accurate diagnosis of rolling bearing fault, which proves the effectiveness of the proposed method.
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