Improvement of VMD and compensation distance for rolling bearing fault detection methods
GUO Kai
MA Jun
XIONG Xin
LI Xiang
HU Yu-ming
Abstract：To address the problem of varying detection performance and lack of universal standards for early fault detection in rolling bearings,a method for early fault detection in rolling bearings based on an improved variational modal decomposition(IVMD)and compensation distance(CD)is proposed from the perspective of constructing performance degradation curves.Firstly,the number of modes K for variational mode decomposition(VMD)is adaptively determined using the estimated signal-to-noise ratio(eSNR)method.Secondly,the probability density function(PDF)distribution of the intrinsic mode function(IMF)obtained from the decomposition is calculated,and the CD degradation evaluation index is constructed by integrating the inter-class and intra-class distances.Then,a sliding window is used to repair the false fluctuations in the CD degradation index based on linear regression equations and the 3σ principle,resulting in a sensitive degradation index that accurately characterizes the rolling bearing degradation process improved CD(ICD).Finally,the Chebyshev inequality is used to establish the relationship between the healthy threshold and the ICD index,enabling early fault detection in rolling bearings.Comparative analysis of two sets of experiments shows that the proposed method can accurately characterize the degradation process of rolling bearings and effectively detect early faults,providing a new solution for early fault diagnosis of bearings.
Keywords：variational modal decompositionrolling bearingsfault detectionspurious fluctuation repairchebyshev's inequality
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 776-786 )