自相关过程的统计监测和控制

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1、AbstractGlobalizationofmarketsdependontheproductquality．Generallyspeaking，Enterprisesofhighqualityproductwillwininthemarketcompetition，whilecompaniesofignoringthequalitywilleventuallyfail．Infact，companiesweren’tintenttomakelowqualityproduct．Lowqualityproductsareoftencausedbyprocessvariation．Th

2、ereforetheproductionprocesswillimpactthequality．ThisisalSOthesourceofstatisticalprocesscontrol(SPC)．SPCisanimportanttoolofstatisticalqualitycontrol(SQC)．Itmainlyusestatisticalmethods(suchascontrolchartsetc．)todetectandwamabnormalprocessfluctuations．Qulitymanagerscantaketimelymeasurestoeliminat

3、eabnormalprocessbehaviorandensureproductqualityaccordingtothealarm．However,traditionalcontrolchartsareappliedonlytonormal，independentandidenticallydistributedprocesses．Butinmodemmanufacturingenvironment，operators，machines，measurementmethodsandotherfactorswillresultintheautocorrelationofprocess

4、observations．Inthisarticle，somecontributionstomonitoringautocorrelatedprocessareasfollows：Firstofa11．thetraditionalEWMAcontrolcharthasbeenimproved．Forautocorrelatedprocesses．thevarianceofEWMAcontrolchartshasbeenreestimated，andthecontrollimitshavebeenadjustedtothenewlevel．Asimulationcaseisgiven

5、toanalyzetheperformanceofcontrolcharts．ThenstatespacemethodiSintroducedtotheautocorrelatedprocess．Timeseriesmodelofprocessesistransformedintostatespacemodel．TheconceptofintegratingSPCandengineeringprocesscontrol(EPC)havebeendiscussed．Ⅵmat’Smore，weconsidertheperformanceofEPCcontrollersandtherel

6、ationshipbetweentheaveragerunlength(ARL)performanceandpolesselection．ThemethodisseparatelyappliedtodesigntheEPCfeedbackcontrollerforthefirst．．orderandsecond-．orderdynamicprocessinordertoanalyzetheeffectiveness．Finally,waveletsdecompositioniSusedtoachievedecorrelationofprocessdata．Inaddition，mu

7、lti．resolutionwaveletsanalysisCanmonitorsignalatmultiplescales．ThroughMonte-Carlosimulationmethod，westudytherelationshipbetweentheperformanceofcontrolchartsandwaveletsdecompositiondepth．Keywords：Autocorrelation；StatisticalProcessControl