Model-based prognostic techniques applied to a suspension system

Model-based prognostic techniques applied to a suspension system

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时间:2019-08-05

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1、1156IEEETRANSACTIONSONSYSTEMS,MAN,ANDCYBERNETICSPARTA:SYSTEMSANDHUMANS,VOL.38,NO.5,SEPTEMBER2008Model-BasedPrognosticTechniquesAppliedtoaSuspensionSystemJianhuiLuo,Member,IEEE,KrishnaR.Pattipati,Fellow,IEEE,LiuQiao,andShunsukeChigusaAbstractConventionalmaintenancestrategies,suchascor-ginep

2、eriodically).Thistime-scheduledmaintenanceisjustifiedrectiveandpreventivemaintenance,arenotadequatetofulfillwhenthemaintenanceisdoneonwell-knownfieldcomponents.theneedsofexpensiveandhighavailabilitytransportationandAlthoughpreventivemaintenanceprogramsincreasesystemindustrialsystems.Anewstrat

3、egybasedonforecastingsystemavailability,theyareexpensivebecauseoffrequentreplacementdegradationthroughaprognosticprocessisrequired.Therecentadvancesinmodel-baseddesigntechnologyhaverealizedsignifi-ofcostlypartsbeforetheendoftheirlife.Anotherdisadvantagecanttimesavingsinproductdevelopmentcyc

4、le.Theseadvancesofpreventivemaintenanceisthatitistimebased.Studieshavefacilitatetheintegrationofmodel-baseddiagnosisandprognosisrevealedthatmostoftheequipmentfailuresarenotrelatedtoofsystems,leadingtocondition-basedmaintenanceandincreasedthenumberofhourstheywereoperating[1].Hence,inmanyava

5、ilabilityofsystems.Withanaccuratesimulationmodelofacases,time-basedsolutionsarenotcosteffective.Consequently,system,diagnosticsandprognosticscanbesynthesizedconcur-rentlywithsystemdesign.Inthispaper,wedevelopanintegratedtheseconventionalmaintenancestrategiesarenotadequateprognosticprocessb

6、asedondatacollectedfrommodel-basedtofulfilltheneedsofexpensiveandhighavailabilitytrans-simulationsundernominalanddegradedconditions.Prognosticportationandindustrialsystems.Condition-basedmaintenancemodelsareconstructedbasedondifferentrandomloadconditions(CBM)isanalternativethatusesembeddedd

7、iagnosticsand(modes).AnInteractingMultipleModel(IMM)isusedtotracktheprognosticstodeterminesystemshealth.Failureprognosishiddendamage.Remaining-lifepredictionisperformedbymixingmode-basedlifepredictionsviatime-averagedmodeprobabilities.inCBMinvolvesforecastingo

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