谱峭度增强循环谱的轴承早期微弱故障诊断方法

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中图分类号： TP306.3 文献标志码：A 文章编号：1671-5276（2025）06-0024-06

Abstract：Toaddress theissueofmasive noisecomponents intheearlystageofbearing vibrationfault whichseriouslyinterfers thefeature identificationofcyclic powerspectrum，thispaperproposesakurtosis-assistedcyclicpowerspectrummethod forearly weak fault diagnosisofbearings.Thefaultcharacteristicfrequencybandisselectedthrough kurtosisfiltering tosurestrong noiseinterference.Withthekurtosisassistance，thefaultfeaturesishighlightedinthecyclicspectrumdensityplot，enabling earlierbearingfaultdiagnosis.Thesimulation，experimentandengineeringdataanalysisverifythesuperoriyandefectivesof the proposed method.

Keywords：cyclic power spectral density；spectral kurtosis；bearing fault diagnosis；weak feature extraction

0 引言

滚动轴承是旋转机械中最重要的零部件，起着支撑旋转体、保证回转精度的重要作用[1]。（剩余7400字）