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1、ABayesianApproachforControlLoopDiagnosiswithMissingDataFeiQiandBiaoHuangDept.ofChemicalandMaterialsEngineering,UniversityofAlberta,Edmonton,AB,T6G2G6,CanadaEdgarC.TamayoSyncrudeCanadaLtd.,FortMcMurray,AB,T9H3L1,CanadaDOI10.1002/aic.11964PublishedonlineSeptember25,2009inWileyInterSc
2、ience(www.interscience.wiley.com)Thisarticleisconcernedwithdeterminationoftheunderlyingsourceofproblematiccontrolperformancethroughadata-drivenBayesianapproach.Thisapproachsynthe-sizesinformationfromdifferentmonitoringalgorithmstoisolatepossibleproblemsources.Amainissueencounteredi
3、ntheapplicationofthedata-drivenapproachistheproblemofmissingdataormissingmonitorreading.Byintroducingtheconceptofmissingpattern,datamissingproblemsareclassifiedintosingleandmultimissingpat-terns.Anovelmethodbasedonmarginalizationoverunderlyingcompleteevidencematrixisproposedtocircum
4、ventmissingdataproblems.PerformanceoftheproposedBayesianapproachisexaminedthroughsimulationsaswellasanindustrialapplica-tionexampletoverifyitsabilityofinformationsynthesis.VC2009AmericanInstituteofChemicalEngineersAIChEJ,56:179–195,2010Keywords:processcontrol,performancemonitoring,
5、performanceassessment,bayesianmethod,controlloopdiagnosis,missingdata,faultdiagnosisIntroductionmonitors,includingsensormonitors,actuatormonitors,andmodelvalidationmonitors.However,mostofthemonitoringTheresearchoncontrolloopperformancemonitoringandalgorithmstargetonlyonespecificprob
6、leminacontrolloopdiagnosisremainsoneofthemostactiveresearchareasinwiththeassumptionthatotherproblemsdonotoccursimul-processcontrolcommunity.Themainobjectiveofcontroltaneously.Obviously,differentproblemscanproducesimilarperformancemonitoringanddiagnosisistoprovideanauto-symptoms,thu
7、striggeringthesamemonitortoalarm.Onthematedprocedurethatdeliversinformationtoplantpersonnelotherhand,oneproblemsourcecanalsoaffectseveralmoni-fordeterminingwhetherspecifiedperformancetargetsaretorssimultaneously.beingmetbythecontrolledprocessvariablesandthatevalu-1Althoughthereexist
8、salargevolumeofpapersaddre
