基于支持向量機和混沌理論的壓縮機狀態(tài)預測方法研究.pdf

1、湖南大學碩士學位論文基于支持向量機和混沌理論的壓縮機狀態(tài)預測方法研究姓名：張勇申請學位級別：碩士專業(yè)：機械工程指導教師：于德介20100520基于支持向量機和混沌理論的壓縮機狀態(tài)預測方法研究AbstractCompressisthekeyequipmentinpetroleummachineenterprise.Itisimptanttopredictthedevelopingconditionindertoensurethesafet

2、yreliabilityoftheequipmentrunningachievescientificmaintenance.Thetrendpredictiontechniqueofnonlineartimeseriesisaneffectivemethodfconditionpredictionfaultdiagnosis.Inviewofsecurityofenterprisemanufacturepredictivemainten

3、anceSupptVectMachines(SVM)chaostheyareusedfconditionpredictionofcompresss.Themainwksofthisthesisareasfollows：1.Thedevelopmentoftimeseriespredictionisreviewedtherecentresearchwkofthepredictionofnonlineartimeseriesisintrod

4、uced.Thebackgroundsignificanceoftheresearchareclarified.2.TheregressionpredictiontheyofSVMisstudied.CombingtheEmpiricalModeDecomposition(EMD)withSVMaconditionpredictionmethodisproposedbasedonEMDSVMfthepredictingofvibraty

5、signalsofaxialdisplacementsofacompress.Theresultindicatesthevalidityaccuracyofthemethod.3.Thepredictionmethodbasedonchaostheyisintroducedphasephasereconstructiontheytheionofreconstructionparametersarestudiedthechaoticpre

6、dictionmodelbasedonlocalregionmethodisbuiltfthepredictingofvibratysignalofaxialdisplacementofacompress.Theresultshowsthepracticabilityfeasibilityofthemethod.4.Theadvantagesdisadvantagesofthetwofecastingmethodsaresummariz

7、edtheapplicabilitylimitationofthetwomethodsareexplainedfconditionpredictionofcompresss.Thedirectionofimprovementofthetwomethodsisbroughtoutwhichwillprovidetheusefulguideffurtherresearch.KeyWds：Compress；Conditionpredictio