基于POA-VMD与综合筛选指标的轴承故障诊断

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中图分类号：TH133.3 文献标志码：A 文章编号：1671-5276（2025）03-0077-05

Bearing Fault Diagnosing Based on POA-VMD and Comprehensive Screening Index

LIU Yongliang

（China Mining Products Safety Approval and Certification Center，Beijing1Ooo13，China）

Abstract：Inordertodiagnosecoalminebearingwithmoreaccuracy，thebearing faultdiagnosis method basedonPOA-VMD and comprehensive screening index is proposed. Aimed at the two parameters K and α which have great influence on decompositioneffectin VMD，thebugsleading tothepoordecompositioneffctofvibrationsignalaresoughtoutbyexperience. The POA algorithm is used to automatically optimize the K and α ，obtaining the two optimal parameter combination of the maximized VMDdecompositionperformance，and the POA-VMDis appliedtodecomposethe bearing vibrationsignal.Regarding the pooraccuratefault feature extractioncausedbytheselectionofcomponents basedonasingle index，theoptimal component afterdecompositionisdetermined withthecomprehensivescreening indexesof intercoection，kurtosisandrelativeetropy. And the Hilbertmethodisusedtoprocesstheoptimalcomponent，extractthefaultfeaturesandrealizethebearing fault diagnosis.The experimental results show that the bearing fault diagnosis method based on POA-VMD and comprehensive screningindex，incomparison withtheconventionalVMDmethodandthesingleindexselectioncomponentone，hasbetefault diagnosis effect.

Keywords：POA；VMD；bearing；fault diagnosis

0 引言

轴承作为通用零部件在冶金、航空航天、矿业等行业的生产设备中得到广泛的应用。（剩余5329字）