ASTM G172-2003(2010) 加速运行的寿命数据的统计分析指南
作者:标准资料网 时间:2024-05-09 23:46:54 浏览:9390
来源:标准资料网
下载地址: 点击此处下载
【英文标准名称】:StandardGuideforStatisticalAnalysisofAcceleratedServiceLifeData
【原文标准名称】:加速运行的寿命数据的统计分析指南
【标准号】:ASTMG172-2003(2010)
【标准状态】:现行
【国别】:美国
【发布日期】:2003
【实施或试行日期】:
【发布单位】:美国材料与试验协会(US-ASTM)
【起草单位】:G03.08
【标准类型】:(Guide)
【标准水平】:()
【中文主题词】:
【英文主题词】:Acceleratedservicelifedata;Statisticalmethods
【摘要】:Thenatureofacceleratedservicelifeestimationnormallyrequiresthatstresseshigherthanthoseexperiencedduringserviceconditionsareappliedtothematerialbeingevaluated.Fornon-constantusestress,suchasexperiencedbytimevaryingweatheroutdoors,itmayinfactbeusefultochooseanacceleratedstressfixedatalevelslightlylowerthan(say90%of)themaximumexperiencedoutdoors.Bycontrollingallvariablesotherthantheoneusedforacceleratingdegradation,onemaymodeltheexpectedeffectofthatvariableatnormal,orusageconditions.Iflaboratoryacceleratedtestdevicesareused,itisessentialtoprovideprecisecontrolofthevariablesusedinordertoobtainusefulinformationforservicelifeprediction.Itisassumedthatthesamefailuremechanismoperatingatthehigherstressisalsothelifedeterminingmechanismattheusagestress.Itmustbenotedthatthevalidityofthisassumptioniscrucialtothevalidityofthefinalestimate.Acceleratedservicelifetestdataoftenshowdifferentdistributionshapesthanmanyothertypesofdata.Thisisduetotheeffectsofmeasurementerror(typicallynormallydistributed),combinedwiththoseuniqueeffectswhichskewservicelifedatatowardsearlyfailuretime(infantmortalityfailures)orlatefailuretimes(agingorwear-outfailures).Applicationsoftheprinciplesinthisguidecanbehelpfulinallowinginvestigatorstointerpretsuchdata.Thechoiceanduseofaparticularaccelerationmodelandlifedistributionmodelshouldbebasedprimarilyonhowwellitfitsthedataandwhetheritleadstoreasonableprojectionswhenextrapolatingbeyondtherangeofdata.Furtherjustificationforselectingmodelsshouldbebasedontheoreticalconsiderations.Note28212;Acceleratedservicelifeorreliabilitydataanalysispackagesarebecomingmorereadilyavailableincommoncomputersoftwarepackages.Thismakesdatareductionandanalysesmoredirectlyaccessibletoagrowingnumberofinvestigators.Thisisnotnecessarilyagoodthingastheabilitytoperformthemathematicalcalculation,withoutthefundamentalunderstandingofthemechanicsmayproducesomeseriouserrors.SeeRef(1).1.1Thisguidebrieflypresentssomegenerallyacceptedmethodsofstatisticalanalysesthatareusefulintheinterpretationofacceleratedservicelifedata.Itisintendedtoproduceacommonterminologyaswellasdevelopingacommonmethodologyandquantitativeexpressionsrelatingtoservicelifeestimation.1.2ThisguidecoverstheapplicationoftheArrheniusequationtoservicelifedata.Itservesasageneralmodelfordeterminingratesatusageconditions,suchastemperature.Itservesasageneralguidefordeterminingservicelifedistributionatusagecondition.Italsocoversapplicationswheremorethanonevariableactsimultaneouslytoaffecttheservicelife.Forthepurposesofthisguide,theaccelerationmodelusedformultiplestressvariablesistheEyringModel.Thismodelwasderivedfromthefundamentallawsofthermodynamicsandhasbeenshowntobeusefulformodelingsometwovariableacceleratedservicelifedata.Itcanbeextendedtomorethantwovariables.1.3Onlythosestatisticalmethodsthathavefoundwideacceptanceinservicelifedataanalyseshavebeenconsideredinthisguide.1.4TheWeibulllifedistributionisemphasizedinthisguideandexamplecalculationsofsituationscommonlyencounteredinanalysisofservicelifedataarecoveredindetail.ItistheintentionofthisguidethatitbeusedinconjunctionwithGuideG166.1.5Theaccuracyofthemodelbecomesmorecriticalasthenumberofv......
【中国标准分类号】:A41
【国际标准分类号】:03_120_30
【页数】:12P.;A4
【正文语种】:英语
【原文标准名称】:加速运行的寿命数据的统计分析指南
【标准号】:ASTMG172-2003(2010)
【标准状态】:现行
【国别】:美国
【发布日期】:2003
【实施或试行日期】:
【发布单位】:美国材料与试验协会(US-ASTM)
【起草单位】:G03.08
【标准类型】:(Guide)
【标准水平】:()
【中文主题词】:
【英文主题词】:Acceleratedservicelifedata;Statisticalmethods
【摘要】:Thenatureofacceleratedservicelifeestimationnormallyrequiresthatstresseshigherthanthoseexperiencedduringserviceconditionsareappliedtothematerialbeingevaluated.Fornon-constantusestress,suchasexperiencedbytimevaryingweatheroutdoors,itmayinfactbeusefultochooseanacceleratedstressfixedatalevelslightlylowerthan(say90%of)themaximumexperiencedoutdoors.Bycontrollingallvariablesotherthantheoneusedforacceleratingdegradation,onemaymodeltheexpectedeffectofthatvariableatnormal,orusageconditions.Iflaboratoryacceleratedtestdevicesareused,itisessentialtoprovideprecisecontrolofthevariablesusedinordertoobtainusefulinformationforservicelifeprediction.Itisassumedthatthesamefailuremechanismoperatingatthehigherstressisalsothelifedeterminingmechanismattheusagestress.Itmustbenotedthatthevalidityofthisassumptioniscrucialtothevalidityofthefinalestimate.Acceleratedservicelifetestdataoftenshowdifferentdistributionshapesthanmanyothertypesofdata.Thisisduetotheeffectsofmeasurementerror(typicallynormallydistributed),combinedwiththoseuniqueeffectswhichskewservicelifedatatowardsearlyfailuretime(infantmortalityfailures)orlatefailuretimes(agingorwear-outfailures).Applicationsoftheprinciplesinthisguidecanbehelpfulinallowinginvestigatorstointerpretsuchdata.Thechoiceanduseofaparticularaccelerationmodelandlifedistributionmodelshouldbebasedprimarilyonhowwellitfitsthedataandwhetheritleadstoreasonableprojectionswhenextrapolatingbeyondtherangeofdata.Furtherjustificationforselectingmodelsshouldbebasedontheoreticalconsiderations.Note28212;Acceleratedservicelifeorreliabilitydataanalysispackagesarebecomingmorereadilyavailableincommoncomputersoftwarepackages.Thismakesdatareductionandanalysesmoredirectlyaccessibletoagrowingnumberofinvestigators.Thisisnotnecessarilyagoodthingastheabilitytoperformthemathematicalcalculation,withoutthefundamentalunderstandingofthemechanicsmayproducesomeseriouserrors.SeeRef(1).1.1Thisguidebrieflypresentssomegenerallyacceptedmethodsofstatisticalanalysesthatareusefulintheinterpretationofacceleratedservicelifedata.Itisintendedtoproduceacommonterminologyaswellasdevelopingacommonmethodologyandquantitativeexpressionsrelatingtoservicelifeestimation.1.2ThisguidecoverstheapplicationoftheArrheniusequationtoservicelifedata.Itservesasageneralmodelfordeterminingratesatusageconditions,suchastemperature.Itservesasageneralguidefordeterminingservicelifedistributionatusagecondition.Italsocoversapplicationswheremorethanonevariableactsimultaneouslytoaffecttheservicelife.Forthepurposesofthisguide,theaccelerationmodelusedformultiplestressvariablesistheEyringModel.Thismodelwasderivedfromthefundamentallawsofthermodynamicsandhasbeenshowntobeusefulformodelingsometwovariableacceleratedservicelifedata.Itcanbeextendedtomorethantwovariables.1.3Onlythosestatisticalmethodsthathavefoundwideacceptanceinservicelifedataanalyseshavebeenconsideredinthisguide.1.4TheWeibulllifedistributionisemphasizedinthisguideandexamplecalculationsofsituationscommonlyencounteredinanalysisofservicelifedataarecoveredindetail.ItistheintentionofthisguidethatitbeusedinconjunctionwithGuideG166.1.5Theaccuracyofthemodelbecomesmorecriticalasthenumberofv......
【中国标准分类号】:A41
【国际标准分类号】:03_120_30
【页数】:12P.;A4
【正文语种】:英语
下载地址: 点击此处下载