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改进的EMD方法在车辆振动信号提取中的应用.pdf

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Jun．2012TransactionsofNanjingUniversityofAeronautics＆AstronauticsV01．29No．2 APPLICATIONOFIMPROVEDEMDINVIBRATION SIGNALFEATUREEXTRACTIONOFVEHICLE XinJianghui，AnMujin。，ZhangYu，RenChenglong (1．DepartmentofVehicleEngineering，NanjingUniversityofTechnology，Nanjing’211167，P·R·China； 2．CollegeofEnergyandPowerEngineering，NanjingUniversityofAeronauticsand Astronautics．Nanjing，210016，P．R．China) Abstract：Inordertotrulyobtainthefeatureextractionofvibrationsignalsunderthestrongbackgroundnoise’ theanalysisandimprovementofempiricalmodedecomposition(EMD)iscarriedon．Afterthat，theimproved EMDisappliedt0thefeatureextractionofvehiclevibrationsignals．First，themulti—autocorrelationmethodis adoptedineachinputsignal，sothenoiseisreducedeffectively．Then，EMDisusedtodealwiththesesignals，and theintrinsicmodefunctions(IMFs)areobtained．Finally，forobtainingthefeatureinformationofthesesignals' theHilberttransformationandthespectrumanalysisareperformedinsomeIMFs．Theoreticalanalysisandex~ Derimentverifytheeffectivenessofthemethod，whicharevaluablereferenceforthesameengineeringproblems． Keywords：empiricalmodedecomposition(EMD)；vehiclevibrationsignal；multi—autocorrelation；featureex~ traction CLCnumber：TH113．1Documentcode：AArticleID：1OO5一l120(2O12)O2一O193一O6 INTRODUCTIoNtheoriginalsignalsisobtainedbyanalyzingevery IMF．Butwhenthesignalaremixedwithaplenty Thefeatureextractionofthemechanicalvi—ofnoisecs]。layersofEMDareincreased，which brationsignalisakeypointinmalfunctiondiag— notonlyreducesthecomputationalefficiency，but nosisc¨．Alotofanalyticalmethodsareraised alsocausesthelosingofphysicalmeaninginseri— andappliedtothefeatureextractionandanalysis OUSsituation． ofvibrationsignalinmechanicalsysteminorder AfterconsideringthedisadvantageofEMD tomeettheneedsofmodernengineering，suchasmethodunderstrongbackgroundnoise，themul— thewaveletanalysisc引，thehighorderstatistics ti—autocorrelationprocessingisappliedtoeachin— analysis／。引．Theyhavetheirownuniqueadvan— putsignalofthesysteminthispaperfirstly． tagesasw