A Parameter Adaptive VMD Applied to Bearing Fault Feature Extraction
In view of the fact that the traditional variational mode decomposition(VMD)needs to set the number of modes and penalty pa-rameters in advance,a parameter adaptive VMD method based on sparrow algorithm(SSA)is proposed.Firstly,a new measurement in-dex correlation pulse is introduced,which can reflect the correlation between the original signal and the decomposed mode,and can effec-tively highlight the mode with rich information.Secondly,based on the correlation pulse index,the sparrow search algorithm is used to select the optimal VMD decomposition parameters.Finally,the mode components are analyzed by the maximum correlation pulse index,and the Hilbert envelope spectrum is used to spectrum analysis.In addition,the faulty bearing is placed on the bearing life test bench for simulation verification.The experimental results show that the method is feasible in the extraction of bearing fault features.
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