Bayesian Methods for Control Loop Diagnosis in the Presence of Temporal Dependent Evidences

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1、Automatica47(2011)1349–1356ContentslistsavailableatScienceDirectAutomaticajournalhomepage:www.elsevier.com/locate/automaticaBayesianmethodsforcontrolloopdiagnosisinthepresenceoftemporal✩dependentevidencesFeiQi,BiaoHuang∗DepartmentofChemicalandMaterialsEngineering,UniversityofAlberta,Edmo

2、nton,Alberta,T6G2G6,CanadaarticleinfoabstractArticlehistory:ConventionalBayesianmethodscommonlyassumethattheevidencesaretemporallyindependent.Received20September2009Thiscondition,however,doesnotholdformostengineeringproblems.WiththeevidencetransitionReceivedinrevisedforminformationbeingc

3、onsidered,thetemporalinformationcanbesynthesizedwithintheBayesian5March2010frameworktoimprovediagnosisperformance.Inthispaper,theimportantevidencedependencyproblemAccepted3January2011issolvedbyadata-drivenBayesianapproachwithconsiderationofevidencetransitionprobability.TheAvailableonline

4、5March2011applicationsinasimulateddistillationcolumnandapilotscaleprocessarepresentedtodemonstratetheKeywords:datadependencyhandlingabilityoftheproposedcontrolloopperformancediagnosisapproach.Performancemonitoring©2011ElsevierLtd.Allrightsreserved.PerformanceassessmentBayesiandiagnosisEv

5、idencedependency1.IntroductionAnimplicitassumptionthatotherunattendedcomponentsareingoodconditionismade.ClearlythisassumptiondoesnotControlloopperformanceassessmentanddiagnosishasbeenalwayshold.Itisthereforenecessarytodevelopmethodsthatanactiveareaofresearchincontrolengineering.Extensive

6、notonlymonitorindividualcomponents,butalsoarecapableofresearchhasbeenconductedoncontrolperformanceassessment,synthesizinginformationfromdifferentmonitorstoisolatetheandalargevolumeofpaperscanbefoundintheliterature.Aunderlyingsourceofproblematiccontrolperformance.numberofcontrolperformanc

7、eassessmentmethodshavebeenBayesianmethodshaveagreatpotentialtosolvethisproblemdeveloped,includingtheonesbasedonminimumvariancecontrolbyprovidingaprobabilisticinformationsynthesizingframework.(MVC),linearquadraticGaussiancontrol(LQG),historicaldataApplicationsoftheBayesian