外文翻译----整体经验模式分解（eemd）的改进

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1、附录附录A外文资料翻译MachanicalSystermsandSignalProcessing13(2010)PerformanceenhancementofensembleempiricalmodedecompositionAbstractEnsembleempiricalmodedecomposition(EEMD)isanewlydevelopedmethodaimedateliminatingmodemixingpresentintheoriginalempiricalmodedecomposition(EMD).Toevaluatetheperformanceo

2、fthisnewmethod,thispaperinvestigatestheeffectoftwoparameterspertinenttoEEMD:theamplitudeofaddedwhitenoiseandthenumberofensembletrials.AtestsignalwithmodemixingthatmimicsrealisticbearingvibrationsignalsmeasuredonabearingtestbedwasdevelopedtoenablequantitativeevaluationoftheEEMDandprovidegui

3、danceonhowtochoosethetwoparametersappropriatelyforbearingsignaldecomposition.Subsequently,amodifiedEEMD(MEEMD)methodisproposedtoreducethecomputationalcostoftheoriginalEEMDmethodaswellasimprovingitsperformance.Numericalevaluationandsystematicstudyusingvibrationdatameasuredonanexperimentalbe

4、aringtestbedverifiedtheeffectivenessandcomputationalefficiencyoftheproposedMEEMDmethodforbearingdefectdiagnosis.1.IntroductionInrecentyears,time–frequencyandtime-scaleanalysistechniquessuchasshorttimeFouriertransform(STFT)[1]andwavelettransform[2,3]havebeenincreasinglyinvestigatedfornon-st

5、ationaryand/ornonlinearsignalprocessinginmachinehealthdiagnosis.Thesetechniques,whilehavingshowntobesuccessfulinvariousapplications,arenon-adaptiveinnature.Asaresult,oncethewindowtypeorabasewavelethasbeenchosen,theanalysisfunctionremainsthesameduringthesubsequentsignaldecompositionprocess.

6、Incomparison,theHilbert–Huangtransform(HHT)[4,5]decomposesasignalintoasetofintrinsicmodefunctions(IMFs)throughtheempiricalmodedecomposition(EMD)process,thusonlyinvolvingthesignalbeinganalyzeditselfinsteadofrequiringananalysisfunctiontobeconvolutedwith.Asaresult,itpresentsadata-drivenapproa

7、chtodealingwithnon-stationarityand/ornonlinearityinthesignal.WhiletheHHTtechniquehasbeenappliedtovariousfields,suchasmachinehealthmonitoringandstructuraldamagedetection[6–11],filteringanddenoising[12,13],andbioscience[14–16],aproblemthathasremainedexistinginth