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ID:37353739
大小:2.46 MB
页数:51页
时间:2019-05-22
《概率PCA多元统计方法在过程监控中的应用研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、江南大学硕士学位论文概率PCA多元统计方法在过程监控中的应用研究姓名:杨沛武申请学位级别:硕士专业:检测技术与自动化装置指导教师:刘飞20080601AbstractAfterlongtimerunning,therearesomechangesinanyproducingsystem,whichwillunavoidablyinfluencethequalityofproductsandevenresultingreataccidents.Therefore,thetraditionalmethodsent
2、irelybasedonmanpowerareoutdatedandcannotsatisfythecomplicateddesireofqualitycontr01.Havingnouseofcomplexmechanismmodel,multivariablestatisticalprocessmonitoringmethodcanmonitorprocessthroughextractingimportantinformationfromrawdatausingstatisticalmethodandt
3、hentransformingthemintoseveralsignificativeindices.Themethodnotonlytakessufficientuseoftheexistinginformationandiswellrealizable,butalsogreatlyreducestheprocedureofprocessmonitoringsystem,whichhasbeendevelopedmorethanthirtyyears,inwhichlotsofresearchresults
4、havebeenacquiredandappliedwidely.Probabilisticprincipalcomponentanalysis(PPCA)firstlyassumethedistributionoflatentvariablesanderrorvector,secondlyevaluatethegenerativemodelbytheexpectationandmaximization(EM)algorithm,SOitcalldetectfaulteffectivelyandperform
5、son—linefaultidentification。whichmakeitattractivebothinindustryandacademia.HoweverPPCAisalinearway,thepreconditionsofitsapplicationarethatprocessarenormallydistributedandnoauto-correlationamongthem.Butmostofindustrialprocessarecomplicatedandalwaysviolatethe
6、preconditions,SOthePPCA.basedmethodbehavesunsatisfactorily.AimingatthedisadvantagesofthePPCA—basedmethod,themaincontributionsareasfollows:1.Thedissertationproposesallimprovedmonitoringwaywhichmonitorsthenormofwhitenmeasurementvariablesandperformon—linefault
7、identificationbymonitoringeverywhitenvariable,SOtheloadofmonitoringisreduced.AtlastPCAandPPCAarecomparedinmonitoringprocessofchemicalseparation.2.Aimingatthestrongdynamiccharacteristicoftheindustrialprocess,usingEMalgorithm,thedynamicPPCAmodeliSbuilttocopew
8、iththedatamatrixextendbytimeseries.Accordingtothetechnique,staticPPCAcanbeextendedtomonitordynamicmultivariateprocess,andauto—correlationamongprocessvariablesiseffectivelyeliminated.3.Onthemonitoringof
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