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外文翻译--制造分析进程数据使用快速标记技术.doc

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外文翻译--制造分析进程数据使用快速标记技术.doc

附录1翻译原文及译文DocNoP0193GP011DocNameAnalysisofManufacturingProcessDataUsingQUICKTechnologyTMIssue1Data20April,2006NamePrintSignatureAuthorD.CliftonReviewerS.TurnerTableofContents1ExecutiveSummary................................................................................................................41.1Introdution.............................................................................................................................41.2TechniquesEmployed............................................................................................................41.3SummaryofResults...............................................................................................................41.4Observations...........................................................................................................................52Introdution...............................................................................................................................62.1OxfordBioSignalsLimited...................................................................................................63ExternalReferences................................................................................................................74Glossary...................................................................................................................................75DataDescription......................................................................................................................75.1Datatypes...............................................................................................................................75.2PriorExperimentKnowledge...............................................................................................75.3TestDescription......................................................................................................................86Preprocessing.........................................................................................................................96.1RemovalofStart/StopTransients.........................................................................................96.2RemovalofPowerSupplySignal..........................................................................................96.3FrequencyTransformation...................................................................................................97AnalysisIVisualisation........................................................................................................127.1VisualisationofHighDimensionalData............................................................................127.2Visualising5DManufacturingProcessData.......................................错误未定义书签。7.3AutomaticNoveltyDetection.................................................................错误未定义书签。7.4ConclusionofAnalysisIVisualisation..................................................错误未定义书签。8AnalysisIISignatureAnalysis................................................................错误未定义书签。8.1ConstructingSignatures.........................................................................错误未定义书签。8.2VisualisingSignatures.............................................................................错误未定义书签。8.3ConclusionofAnalysisIISignatureAnalysis.......................................错误未定义书签。9AnalysisIIITemplateAnalysis...............................................................错误未定义书签。9.1ConstructingaTemplateofNormality..................................................错误未定义书签。9.2ResultsofNoveltyDetectionUsingTemplateAnalysis........................错误未定义书签。9.3ConclusionofAnalysisIIITemplateAnalysis......................................错误未定义书签。10AnalysisIVNonelinearPrediction....................................................错误未定义书签。10.1NeuralNetworksforOnLinePrediction.............................................错误未定义书签。10.2ResultsofNoveltyDetectionusingNonlinearPrediction...................错误未定义书签。10.3ConclusionofAnalysisIVNonlinearPrediction.................................错误未定义书签。11OverallConclusion...................................................................................错误未定义书签。11.1Methodology............................................................................................错误未定义书签。11.2SummaryofTesults................................................................................错误未定义书签。11.3FutureWork............................................................................................错误未定义书签。12AppendixANeuroScaleVisualisations..............................................错误未定义书签。TableofFiguresFigure1Test90.FromtoptobottomAx,Ay,Az,AE,SPagainsttimetsFigure2PowerspectraforTest19afterremovalof50Hzpowersupplycontribution.Thetopplotshowsa3Dlandspaceplotofeachspectrum.Thebottomplotshowsacontourplotofthesameinformation,withincreasingsignalpowershownasincreasingcolourfromblacktoredFigure3PowerspectraforTest19afterremovalofallspectralcomponentsbeneathpowerthresholdFigure4AzagainsttimeinsecondsforTest19,beforeremovaloflowpowerfrequencycomponentsFigure5AzagainsttimeinsecondsforTest19,afterremovaloflowpowerfrequencycomponentsFigure6SPforanexampletest,showingthreeautomaticallydetecrminedstatesS1drillinginshowningreenS2drillbitbreakthroughandremovalshowninredS3retractionshowninblueFigure7ExamplesignatureofvariableyplottedagainstoperatingpointFigure8Powerspectrafortest51,frequencyHzonthexaxisbetween0fs/2Figure9AveragesignificantfrequencyfuFigure10VisualisationofAEsignaturesforalltestsFigure11VisualisationofAxbroadbandsignaturesforalltestsFigure12VisualisationofAxaveragefrequencysignaturesforalltestsFigure13NoveltydetectionusingatemplatesignatureFigure141ExecutiveSummary1.1IntroductionThepurposeofthisinvestigationconductedbyOxfordBioSignalswastoexamineanddeterminethesuitabilityofitstechniquesinanalyzingdatafromanexamplemanufacturingprocess.ThisreporthasbeensubmittedtoRollsRoycefortheexpressedofassessingOxfordBioSignalstechniqueswithrespecttomonitoringtheexampleprocess.TheanalysisconductedbyOxfordBioSignalsOBSwaslimitedtoafixedtimescale,afixedsetofchallengedataforasingleprocessasprovidedbyRollsRoyceandAachenuniversityofTechnology,withnopriordomainknowledge,norinformationofsystemfailure.1.2TechniquesEmployedOBSusedanumberofanalysistechniquesgiventhelimitedtimescalesIVisualisation,andClusterAnalysisThispowerfulmethodallowedtheevolutionofthesystemstatefusingallavailabledatatypestobevisualisedthroughouttheseriesoftests.Thisshowedseveraldistinctmodesofoperationduringtheseries,highlightingmajoreventsobservedwithinthedata,latercorrelatedwithactualchangestothesystemsoperationbydomainexperts.Clusteranalysisautomaticallydetectswhichoftheseeventsmaybeconsideredtobeabnormal,withrespecttopreviouslyobservedsystembehavior.IISignaturerepresentseachtestasasinglepointonaplot,allowingchangesbetweenteststobeeasilyidentified.Abnormaltestsareshownasoutlyingpoints,withnormaltestsformingacluster.Modelingthenormalbehaviorofseveralfeaturesselectedfromtheprovideddata,thismethodshowedthatadvancewarningofsystemfailurecouldbeautomaticallydetectedusingthesefeatures,aswellashighlightingsignificanteventswithinthelifeofthesystem.IIITemplateAnalysisThismethodallowsinstantaneoussampleby–samplenoveltydetection,suitableforonlineimplementation.UsingacomplementaryapproachtoSignatureAnalysis,thismethodalsomodelsnormalsystembehavior.Resultsconfirmedtheobservationmadeusingpreviousmethods.IVNeuralnetworkPredictorSimilarlyusefulforonlineanalysis,thismethodusesanautomatedpredictorofsystembehaviouraneuralnetworkpredictor,inwhichpreviouslyidentifiedeventswereconfirmed,andfurthersignificantepisodesweredetected.1.3SummaryofResultsEarlywarningofsystemfailurewasindependentlyidentifiedbythevariousanalysismethodsemployed.Severalsignificanteventsduringthelifeoftheprocesswerecorrelatedwith

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