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1、JournalofProcessControl18(2008)829–838ContentslistsavailableatScienceDirectJournalofProcessControljournalhomepage:www.elsevier.com/locate/jprocontBayesianmethodsforcontrolloopmonitoringanddiagnosisBiaoHuang*DepartmentofChemicalandMaterialsEngineering,UniversityofAlberta,Edmonton,AB,CanadaT6G2
2、G6articleinfoabstractKeywords:Thereexistmanyalgorithmsforcontrolperformancemonitoring.Therearealsomanyalgorithmsavail-Bayesianmethodsableforprocessmonitoring.Thereare,however,fewmethodsavailableforsynthesisofvariousmonitor-Performanceassessmentingtechniquestoformadiagnosingsystemforoptimaldec
3、isionmaking.ThispaperisconcernedwithDiagnosisestablishinganddemonstratinganovelprobabilisticdiagnosticframeworkforcontrolloopmonitoring.ControlmonitoringThenewframeworkpossessesanumberofdesiredproperties,including,forexample,quantitativeprob-Processmonitoringabilisticdiagnosis,?exibilityinsyn
4、thesizingdifferentmonitoringtechniques,robustnessinthepresenceBayesiannetworkofmissingdataormissingvariables,easeofexpandingorshrinkingthediagnosingsystem,abilitytoincorporateaprioriprocessknowledge,andcapabilityfordecisionmaking.Asthebackboneofthepro-posedframework,theemergingBayesianmethods
5、areintroducedandshowntobetheappropriatetoolsforsolvingtheproblemofconcern.Severalrepresentativecontrolloopdiagnosticproblemsareformu-latedundertheBayesianframeworkandtheirsolutionsaredemonstratedthroughexamples.Theexpe-riencesandchallengeslearnedfromindustrialapplicationsofBayesianmethodsares
6、ummarizedandsomeoffutureresearchdirectionsarediscussed.ó2008ElsevierLtd.Allrightsreserved.1.IntroductionThereisaneedtoconsidervariousmonitoringproblemssimulta-neouslyinasystematicway.Originatedinthelater1980sbyHarris[6],theresearchonThereareanumberofchallengingissuesinsynthesizingcontrolloopp
7、erformancemonitoringhasbeenandremainsonemonitoringproblems:(1)Whilethesourceoftheproblemmayofthemostactiveresearchareasinprocesscontrolcommunity.beunique(e.g.changeofdisturbancedynamics),itssymptomsAnumberofalgorithmshavebeendevelopedandmanys
