Research on Fault Diagnosis of Rolling Bearing Based on Trend-Guided VMD
Aiming at the problem that it is difficult to extract the fault features of rolling bearings under the background of strong noise and the determination of the relevant parameters of the VMD algorithm relies too much on the prior knowledge,an im-proved VMD algorithm is proposed.The core of the algorithm is to first propose a spectral trend algorithm to find the boundary of the resonance frequency band to determine the number k of the frequency bands and the bandwidth of each frequency band,then estimate the penalty factor corresponding to each frequency band according to the value method,and finally substitute the deter-mined parameters into the VMD algorithm.Analyze the decomposition results.Through simulation signal and experimental sig-nal verification,this method can more accurately determine the number of frequency bands and initial penalty factor,which im-proves the accuracy and adaptability of VMDalgorithm.
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