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1、ABayesianApproachtoFaultIsolationwithApplicationtoDieselEngineDiagnosisAnnaPernestålandMattiasNybergBoWahlbergScaniaCVABKTHSignals,SensorsandSystemsSwedenSweden{anna.pernestal,mattias.nyberg}@scania.combo@s3.kth.comAbstractc
Test1
1
ThispaperconsidersaBaye
2、sianapproachtofaultIsolation
isolation.Givenasetofmeasurementsfromthec
Test2
Diagnoses
2
system
system,andasetofpossiblefaults,thetaskistocalculatetheprobabilitythatthefaultsarepresent.c
Testm
Thisprobabilitycanthenbeusedtorankthefaults,n
orfordecisionsonf
3、aultsccomodation.ThemethodProcess
requirestheconditionalprobabilitydistributionde-scribinghowthemeasurementsreacttothefaults.Figure1:Anexampleofrelationsbetweencomponentsci,Inparticular,thestructureofdependenciesbetweentestsandtheisolationsystem.thetestsis
4、important.Knowingthestructurefacil-itatesefficientcomputationmethodsandmakesitpossibletoreducethememorycapacityneeded.InInthiswork,thediagnostictestsareassumedtobegiven,thispaper,thestructureisestimatedfromtrainingandwewillfocusontheisolationsysteminFigure1
5、.ThedatausingBayesianmethods.Themethodisap-isolationsystemcomputesdiagnoses,i.e.thecombinationspliedtodiagnosisofthegasflowinadieselengine.offaultsthatcanexplaintheoutputsfromthetests.Withthetestresultsasourobservations,thisisthesamedefinition1Introductionof
6、diagnosesasin[deKleeretal.,1992].Oneproblemisthatalreadyforsmallsizedprocessestherecanbemanydi-Faultisolationconcernstheproblemoflocalizingfaultsinagnoses,andhenceamainrequirementontheisolationsys-technicalprocesses.Thisisamostimportantprobleminalltemistha
7、tthediagnosesshouldberankedafterhowprobablefieldofindustrialsystems.Ourmotivatingapplicationison-theyare.Asecondrequirementissetbythelimitedprocessorboardfaultisolationfordieselengines,wheremaintenanceandmemorystoragecapacityintheon-boardcontrolunit.andrepa
8、irprocedurestogetherwithnewemissionregulationsputchallengingdemandsonthecorrespondingdiagnosissys-Inthiswork,aBayesianapproachisusedforfaultisola-tems.Otherchallengesarenoiseandmodelerrors,whichin-tion.Givena
