MSA測量系統(tǒng)分析(英文版)培訓講學課件_第1頁
MSA測量系統(tǒng)分析(英文版)培訓講學課件_第2頁
MSA測量系統(tǒng)分析(英文版)培訓講學課件_第3頁
MSA測量系統(tǒng)分析(英文版)培訓講學課件_第4頁
MSA測量系統(tǒng)分析(英文版)培訓講學課件_第5頁
已閱讀5頁,還剩101頁未讀, 繼續(xù)免費閱讀

下載本文檔

版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認領(lǐng)

文檔簡介

SPCforTestSystem§GaugeR&RSPCforTestSystem§GaugeR&R有多少個黑點?有多少個黑點?這些橫線是不是平行的?這些橫線是不是平行的?是靜的還是動的?是靜的還是動的?三個正方形三個正方形幾何謎題幾何謎題沒有適當?shù)牧繙y工具就無法管理品質(zhì)!!沒有適當?shù)牧繙y工具比較式絕對式待測量轉(zhuǎn)換訊息標準值顯示量測儀量測之種類待測量標準量轉(zhuǎn)換訊息轉(zhuǎn)換訊息比測儀顯示轉(zhuǎn)換放大比較式待測量轉(zhuǎn)換訊息標準值顯示量測儀量測之種類待測量標準量轉(zhuǎn)BasicConceptsEveryProcessproducea“Product”.EveryproductpossessesQualities(Features)EveryQualityFeatureCanbemeasuredTotalVariation=ProductVariation+MeasurementVariationSomeVariationInherentinSystemDesign.SomeVariationisduetoaFaultyperformanceoftheSystem(s).BasicConceptsEveryProcessprComponentsofMeasurementSystemEquipmentorGageTypeofGage:Attribute:go-nogo,visionsystemsVariable:calipers,probe,coordinatemeasurementmachinesUnitofMeasurement-discriminationAtleast1/10of6*processstandarddeviation(6s)Otherrules:atleast1/10oftoleranceOperator&OperatingInstructionsPartlocatingororientationschemeagagemustbeabletoconsistentlylocatethepartbeingmeasured.ComponentsofMeasurementSystTermsYouShouldKnow?Measurementsystem:

Thecollectionofoperations,procedures,gagesandpersonnelusetoobtainmeasurementsofworkpiececharacteristics?Gage:

Adeviceusedtoobtainmeasurements?Repeatability:

Repeatability(Precision)Thevariationinmeasurementobtainedwithonemeasurementinstrumentwhenusedbyoneoperatortomeasure.)anidenticalcharacteristiconthesamepart.(EV:EquipmentVariation?Reproducibility:

Thevariationintheaverageofthemeasurementsmadebydifferentoperatorsusingthesamemeasurementinstrumentwhenmeasuringidenticalcharacteristicsonthesamepart.(AV:AppraiserVariation)TermsYouShouldKnow?MeasureTermsYouShouldKnow?Bias:

Thedifferencebetweentheobservedaverageofmeasurementsandthereferencevalue.?PercentR&R:

Thepercentageofprocessvariationrelatedtothemeasurementsystemforrepeatabilityandreproducibility?Stability:

Thetotalvariationinthemeasurementsobtainedwithameasurementsystemonthesamemasterorpartswhenmeasuringsinglecharacteristicsoveranextendedtimeperiod.?Linearity:

Thedifferenceinthebiasvaluesthroughtheexpectedoperatingrangeofthegage.TermsYouShouldKnow?Bias:T1.AccuracyDifferencebetweenthetrueaverageandtheobservedaverage(trueaveragemaybeobtainedusingamoreprecisemeasuringtool)1.AccuracyDifferencebetween2.ReproducibilityVariationinaverageofmeasurementsmadebydifferentoperatorsusingthesamegagemeasuringthesamepart.AppraiserVariation(AV)2.ReproducibilityVariationin3.Repeatability(Precision)Randomvariationinmeasurementswhenoneoperatorusesthesamegagetomeasurethesamepartseveraltimes.EquipmentVariation(EV)3.Repeatability(Precision)Ra4.StabilityDifferenceintheaverageofatleast2setsofmeasurementsobtainedwithagageasaresultoftime.4.StabilityDifferenceinthePrecisionandAccuracyPrecisionandAccuracyAccuracyandStabilityMeasuresamepartsusingamorepreciseinstrument(Accuracy).

Measuresamepartsusingthesamegageatalaterdate(StabilityorDrift).AccuracyandStabilityMeasureMeasurementSystemVariablesMeasurementSystemVariablesPossibleSourcesofProcess

VariationPossibleSourcesofProcess

VaSourcesofMeasurementErrorSystematicVariations1.accuracy:impropercalibrationofequipment2.reproducibility:differentoperatorsusingsameequipmentwithdifferenttechniquesRandomVariations3.repeatability:(forexample,inconsistentpartlocating)PeriodicVariations4.stability:wear,deterioration,environmentalconditionsSourcesofMeasurementErrorSyTheGR&RDesignModelSupposemultipleoperators,measuremultiplepartsseveraltimeseach.Then:

Intermsofthegageperformance,between-operatorreproducibility

isduetotheoperatoreffectandtheoperator*partinteraction.Within-operator

repeatability

isfromthepureerrorterm.TheGR&RDesignModelSupposemTheComponentsofVarianceTheComponentsofVarianceMeasurementError–GageR&RMeasurementError–GageR&RAveragesANOVAanalysisbeginswiththecalculationofallrelevantaverages.Here’sanexample:AveragesANOVAanalysisbeginsTypesofGageErrorandAnalysis

Methods:Accuracy–GageAccuracy(Bias)StudyGageLinearityStudy.Repeatability&ReproducibilityGageR&R(Methods:X-bar/RangeorANOVA)RepeatedMeasurementStudyRepeatability–Static&DynamicStudyStability–RepeatedMeasurementsTypesofGageErrorandAnalysVariancePartitioningThetotalvarianceoftheGR&Rdataispartitionedintocomponentsaccordingtothemodel.Variancesadd,soallpartitionedpiecessumtothetotaldatavariance!VariancePartitioningThetotalTwoWayAnovaTableTwoWayAnovaTableGageR&RAcceptanceTodetermineacceptability,aratioistypicallyformedcomparinggagevariationtoeither:GageR&R%ofToleranceWidthGageR&R%ofTotalVariation6s-represents99.73%ofvaluesifnormaldistribution5.15s-represents99%ofvaluesifnormaldistributionGageR&RAcceptanceTodeterminCriteriaforEvaluatingGageR&RGageR&R%-TVorR&R%-ToleranceifR&R%is:<10%=measurementsystemisacceptable10-30%=measurementsystemmaybeacceptablebaseduponimportanceofapplication,gagecost,costofrepairs..>30%=measurementsystemneedsimprovementCriteriaforEvaluatingGageRConductingaGageR&RStudy1.Plantheapproach–Whatisnatureofoperatorandmeasurementinteraction?–Reproducibilitycanbenegligiblesometimes.2.Select3welltrainedoperators3.Select10partsfortest,Selectsamplepartsshouldrepresententirenormalproductionrange.(Prefercoverthedistributionof+/-4sigma)4.Repeatmeasureeachparts3times.5.Takemeasurementsinrandomorder.6.Takeblindmeasurement?Personmeasuringdoesn’tknowwhichpieceisbeingmeasured,whatpreviousmeasurementswere,orwhatotherappraisersfound.ConductingaGageR&RStudy1.ConductingaGageR&RStudy7.Recordallmeasurementsonworksheet.8.Calculatetrialrangeforeachpieceforeachoperatorandrecordvalues,calculateR&R(squarerootofthesumofthesquaresoftherepeatabilityandreproducibility).9.Keepthestandardparts&itsreadingfor“EquipmentCorrelation“purposeConductingaGageR&RStudy7.GuidelinesForGaugeR&RAcceptanceUnder10%Error:Acceptable10%~30%Error:MaybeAcceptabledependingontheimportanceoftheapplication.Over30%error:ImprovementisneededGuidelinesForGaugeR&RAccepGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyAnovaMethodExampleAnovaMethodExampleEquipmentCalibrationBySimpleLinearityModel(Y=mX+b)

EquipmentCalibrationSelectionofStandardUnitsSetupabout10pcsstandardunitswhichcancovertheoverallspreadofnormalproduction.Prefer2rejectunitbeyondupper/lowerspec.AgingallunitsFindstandardreadingSelectionofStandardUnitsSetRegressionAnalysis:EquipmentvsStandardMeasureStandardunitoneachindividualtestequipmentseveraltimes.TaketheaverageofmeasurementdataforeachunitRegressionAnalysis;EquipmentReadingvsStandardReading.Ifcorrelationcoefficient>90%,thencalculatetheslopeandoff-setpertestm/c.Ifcorrelationcoefficient<90%,findthereason.TestResult=ActualReadingXSlope+OffsetRegressionAnalysis:EquipmenMeasurementDataofStandardSets

@eachTestMachineMeasurementDataofStandardSRegressionAnalysisRegressionAnalysisAddTranslationKeyAfterCorrection=ReadingXSlope+OffsetTestresultbecomecloseramongtestmachines.Slope/OffsetperTestEquipmentAddTranslationKeyAfterCorreEquipmentLongTermStabilityTestEquipmentlongtermstabilitycanbecheckedbytesting1~3workingstandardunitspereachtimebeforeoperatorusethattestmachineandplotthetestresultsonaSPCchart.EquipmentLongTermStabilityComputingKappa

(GR&RTestForvisualinspector)ComputingKappa

(GR&RTestFKappaCoefficient(Cohen,1960)SzBpOtherni.pi.Sz106.53(78).39104120.6BP2228.14(15).0751060.3Other2126.03(2).0120.1n.j1305020200p.j.65.25.11Rater2Rater

1pi.xp.i .39 .075 .01?Highreliabilityrequiresthatthefrequenciesalongthediagonalshouldbe>chanceandoffdiagonalfrequenciesshouldbe<chance.?Usemarginalfrequencies/probabilitiestoestimatechanceagreement.

Proportionagreementobserved,po=∑ipii=1/n∑iniiProportionagreementexpectedbychance,pc=∑ipi.xp.i

po-

pc

1-pcKappa,K=po=.53+.14.03=.7pc=.39+.075+.01=.475

.7-.475

K=1-.475

=.429

K=1,perfectagreementK=0,chanceagreementK<0,agreementworsethanchance.KappaCoefficient(Cohen,1960KappaCoefficient(Cohen,1960)Proportionagreementobserved,po=∑ipii=1/n∑iniiProportionagreementexpectedbychance,pc=∑ipi.xp.iKappaCoefficient(Cohen,1960Select20goodand20badpartsHaveeachinspectorinspecteachofthepartsandrecordwhetherit“Passed”or“Failed”;capturedataina“KappaStudyDataTable”.Performthestudysuchthateachinspectordoesnotknowwhattheotherinspector’sresultsare.Convertthedataintoproportionsandpopulatea“KappaContingencyTable(a)ComputeKappa=(Pobserved-Pchance)/(1-Pchance)(b)Pobservedistheproportionofunitsonwhichbothinspectionsagree(c)Pchanceistheproportionofagreementsexpectedbychanced.Kappashallbe>0.75.IfKappais<0.75,themeasurementsystemmustbeimprovedbeforeacceptingorrejectingparts.ComputingKappa(GR&RTestForvisualinspector)Select20goodand20badpartExampleofComputingKappaExampleofComputingKappaExampleofComputingKappaProportionagreementobservedProportionagreementexpectedbychanceK=P(agreement|noagreementbychance)1-pc=1-0.503=0.497ofcaseswherenoagreementbychancepo-pc=0.825–0.503=0.322ofcasesarethosenon-chanceagreementcaseswhereobserversagreed.ExampleofComputingKappaProp&&SPCforTestSystem§GaugeR&RSPCforTestSystem§GaugeR&R有多少個黑點?有多少個黑點?這些橫線是不是平行的?這些橫線是不是平行的?是靜的還是動的?是靜的還是動的?三個正方形三個正方形幾何謎題幾何謎題沒有適當?shù)牧繙y工具就無法管理品質(zhì)!!沒有適當?shù)牧繙y工具比較式絕對式待測量轉(zhuǎn)換訊息標準值顯示量測儀量測之種類待測量標準量轉(zhuǎn)換訊息轉(zhuǎn)換訊息比測儀顯示轉(zhuǎn)換放大比較式待測量轉(zhuǎn)換訊息標準值顯示量測儀量測之種類待測量標準量轉(zhuǎn)BasicConceptsEveryProcessproducea“Product”.EveryproductpossessesQualities(Features)EveryQualityFeatureCanbemeasuredTotalVariation=ProductVariation+MeasurementVariationSomeVariationInherentinSystemDesign.SomeVariationisduetoaFaultyperformanceoftheSystem(s).BasicConceptsEveryProcessprComponentsofMeasurementSystemEquipmentorGageTypeofGage:Attribute:go-nogo,visionsystemsVariable:calipers,probe,coordinatemeasurementmachinesUnitofMeasurement-discriminationAtleast1/10of6*processstandarddeviation(6s)Otherrules:atleast1/10oftoleranceOperator&OperatingInstructionsPartlocatingororientationschemeagagemustbeabletoconsistentlylocatethepartbeingmeasured.ComponentsofMeasurementSystTermsYouShouldKnow?Measurementsystem:

Thecollectionofoperations,procedures,gagesandpersonnelusetoobtainmeasurementsofworkpiececharacteristics?Gage:

Adeviceusedtoobtainmeasurements?Repeatability:

Repeatability(Precision)Thevariationinmeasurementobtainedwithonemeasurementinstrumentwhenusedbyoneoperatortomeasure.)anidenticalcharacteristiconthesamepart.(EV:EquipmentVariation?Reproducibility:

Thevariationintheaverageofthemeasurementsmadebydifferentoperatorsusingthesamemeasurementinstrumentwhenmeasuringidenticalcharacteristicsonthesamepart.(AV:AppraiserVariation)TermsYouShouldKnow?MeasureTermsYouShouldKnow?Bias:

Thedifferencebetweentheobservedaverageofmeasurementsandthereferencevalue.?PercentR&R:

Thepercentageofprocessvariationrelatedtothemeasurementsystemforrepeatabilityandreproducibility?Stability:

Thetotalvariationinthemeasurementsobtainedwithameasurementsystemonthesamemasterorpartswhenmeasuringsinglecharacteristicsoveranextendedtimeperiod.?Linearity:

Thedifferenceinthebiasvaluesthroughtheexpectedoperatingrangeofthegage.TermsYouShouldKnow?Bias:T1.AccuracyDifferencebetweenthetrueaverageandtheobservedaverage(trueaveragemaybeobtainedusingamoreprecisemeasuringtool)1.AccuracyDifferencebetween2.ReproducibilityVariationinaverageofmeasurementsmadebydifferentoperatorsusingthesamegagemeasuringthesamepart.AppraiserVariation(AV)2.ReproducibilityVariationin3.Repeatability(Precision)Randomvariationinmeasurementswhenoneoperatorusesthesamegagetomeasurethesamepartseveraltimes.EquipmentVariation(EV)3.Repeatability(Precision)Ra4.StabilityDifferenceintheaverageofatleast2setsofmeasurementsobtainedwithagageasaresultoftime.4.StabilityDifferenceinthePrecisionandAccuracyPrecisionandAccuracyAccuracyandStabilityMeasuresamepartsusingamorepreciseinstrument(Accuracy).

Measuresamepartsusingthesamegageatalaterdate(StabilityorDrift).AccuracyandStabilityMeasureMeasurementSystemVariablesMeasurementSystemVariablesPossibleSourcesofProcess

VariationPossibleSourcesofProcess

VaSourcesofMeasurementErrorSystematicVariations1.accuracy:impropercalibrationofequipment2.reproducibility:differentoperatorsusingsameequipmentwithdifferenttechniquesRandomVariations3.repeatability:(forexample,inconsistentpartlocating)PeriodicVariations4.stability:wear,deterioration,environmentalconditionsSourcesofMeasurementErrorSyTheGR&RDesignModelSupposemultipleoperators,measuremultiplepartsseveraltimeseach.Then:

Intermsofthegageperformance,between-operatorreproducibility

isduetotheoperatoreffectandtheoperator*partinteraction.Within-operator

repeatability

isfromthepureerrorterm.TheGR&RDesignModelSupposemTheComponentsofVarianceTheComponentsofVarianceMeasurementError–GageR&RMeasurementError–GageR&RAveragesANOVAanalysisbeginswiththecalculationofallrelevantaverages.Here’sanexample:AveragesANOVAanalysisbeginsTypesofGageErrorandAnalysis

Methods:Accuracy–GageAccuracy(Bias)StudyGageLinearityStudy.Repeatability&ReproducibilityGageR&R(Methods:X-bar/RangeorANOVA)RepeatedMeasurementStudyRepeatability–Static&DynamicStudyStability–RepeatedMeasurementsTypesofGageErrorandAnalysVariancePartitioningThetotalvarianceoftheGR&Rdataispartitionedintocomponentsaccordingtothemodel.Variancesadd,soallpartitionedpiecessumtothetotaldatavariance!VariancePartitioningThetotalTwoWayAnovaTableTwoWayAnovaTableGageR&RAcceptanceTodetermineacceptability,aratioistypicallyformedcomparinggagevariationtoeither:GageR&R%ofToleranceWidthGageR&R%ofTotalVariation6s-represents99.73%ofvaluesifnormaldistribution5.15s-represents99%ofvaluesifnormaldistributionGageR&RAcceptanceTodeterminCriteriaforEvaluatingGageR&RGageR&R%-TVorR&R%-ToleranceifR&R%is:<10%=measurementsystemisacceptable10-30%=measurementsystemmaybeacceptablebaseduponimportanceofapplication,gagecost,costofrepairs..>30%=measurementsystemneedsimprovementCriteriaforEvaluatingGageRConductingaGageR&RStudy1.Plantheapproach–Whatisnatureofoperatorandmeasurementinteraction?–Reproducibilitycanbenegligiblesometimes.2.Select3welltrainedoperators3.Select10partsfortest,Selectsamplepartsshouldrepresententirenormalproductionrange.(Prefercoverthedistributionof+/-4sigma)4.Repeatmeasureeachparts3times.5.Takemeasurementsinrandomorder.6.Takeblindmeasurement?Personmeasuringdoesn’tknowwhichpieceisbeingmeasured,whatpreviousmeasurementswere,orwhatotherappraisersfound.ConductingaGageR&RStudy1.ConductingaGageR&RStudy7.Recordallmeasurementsonworksheet.8.Calculatetrialrangeforeachpieceforeachoperatorandrecordvalues,calculateR&R(squarerootofthesumofthesquaresoftherepeatabilityandreproducibility).9.Keepthestandardparts&itsreadingfor“EquipmentCorrelation“purposeConductingaGageR&RStudy7.GuidelinesForGaugeR&RAcceptanceUnder10%Error:Acceptable10%~30%Error:MaybeAcceptabledependingontheimportanceoftheapplication.Over30%error:ImprovementisneededGuidelinesForGaugeR&RAccepGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyGaugeR&RStudyAnovaMethodExampleAnovaMethodExampleEquipmentCalibrationBySimpleLinearityModel(Y=mX+b)

EquipmentCalibrationSelectionofStandardUnitsSetupabout10pcsstandardunitswhichcancovertheoverallspreadofnormalproduction.Prefer2rejectunitbeyondupper/lowerspec.AgingallunitsFindstandardreadingSelectionofStandardUnitsSetRegressionAnalysis:EquipmentvsStandardMeasureStandardunitoneachindividualtestequipmentseveraltimes.TaketheaverageofmeasurementdataforeachunitRegressionAnalysis;EquipmentReadingvsStandardReading.Ifcorrelationcoefficient>90%,thencalculatetheslopeandoff-setpertestm/c.Ifcorrelationcoefficient<90%,findthereason.TestResult=ActualReadingXSlope+OffsetRegressionAnalysis:EquipmenMeasurementDataofStandardSets

@eachTestMachineMeasurementDataofStandardSRegressionAnalysisRegressionAnalysisAddTranslationKeyAfterCorrection=ReadingXSlope+OffsetTestresultbecomecloseramongtestmachines.Slope/OffsetperTestEquipmentAddTranslationKeyAfterCorreEquipmentLongTermStabilityTestEquipmentlongtermstabilitycanbecheckedbytesting1~3workingstandardunitspereachtimebeforeoperatorusethattestmachineandplotthetestresultsonaSPCchart.EquipmentLongTermStabilityComputingKappa

(GR&RTestForvisualinspector)ComputingKappa

(GR&RTestFKappaCoefficient(Cohen,1960)SzBpOtherni.pi.Sz106.53(78).39104120.6BP2228.14(

溫馨提示

  • 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
  • 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
  • 6. 下載文件中如有侵權(quán)或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
  • 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

最新文檔

評論

0/150

提交評論