多尺度改进差分滤波的旋转机械故障特征提取研究

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中图分类号：TH133.33 文献标志码：A DOI：10.16385/j.cnki.issn.1004-4523.202304021

Abstract：Toaccuratelyextractfaultfeatureinformationunderstrongbackgroundnoise，amultiscaleimproveddifferentialfilter （MIDIF）is proposed forrotatingmachineryfaultdiagnosis.Therotating machineryvibrationsignalisdecomposed intoaeriesof multiscale improveddiferentialfiltersignalsusingMIDIF.InviewofthateMDIFfilteredsignalsexhibitvaryingextentsofva liditynevealingfultfeatures，aweightedreconstructionmetodusingcorrlationanalysisisproposedinwhichtheweightedcoefficientsarecountedanddistributedtothecorespondingMIDIFflteredsignalstoighighttheeffectiveMIDIFfilteredsignalsnd weakentheinvalidones.TheweightedcoeficientsaremultipliedwiththeMIDIFfilteredsignalsunderdiferentsalestoproduce transientimpulsecomponents.Thefaulttypesofrotatingmachinesareinferedfromthefaultdefectfrequenciesintheenvelope spectrumofthetransient impulses.Theresultsshow that MIDIF is more accurate in extracting fault features than multiscale aver agecombination diferent morphological filter（ACDIF）and muliscale morphology gradient product operation（MGPO），and that it provides an effective method for rotating machinery fault diagnosis.

Keywords：multi-scale improved diferentialfilter;correlationcoefcients;rotating machinery；faultdiagnosis

旋转机械作为机械设备中重要的部件，由于实际的工作条件不可避免地会产生各种故障，将影响整个设备的安全稳定运行。（剩余13134字）