




版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
DesignForReliability
Chapter12GregClowserJessicaTeachworthSoniaRochaCastilloBillyQuachWilliamLeeChadKendrickEngr202-Cohort9October2,2006Chapter12OutlineDefinitionofReliability-WilliamMeasuresofReliability-GregRedundancyinDesign-ChadFailureModeEffectsandCriticalityAnalysis–JessicaFaultTreeAnalysisandStress-Strength-SoniaExample–BillyWilliamLeeReliabilityTheabilityofasystemtoperformitsintendedmissionwhenoperatingforadesignatedperiodoftime,orthroughaplannedmissionscenario(orseriesofscenarios),inarealisticoperationalenvironmentFourinherentsubdefinitionsspringfromthis:ProbabilitySatisfactoryPerformanceTimeormission-relatedcycleSpecifiedOperatingConditionsWilliamLeeWilliamLeeProbabilityAquantitativevaluethatspecifiesaroughestimateofhowmanytimesasystemwillperforminagivennumberoftrialsMicrosofthasa“5nines”guaranteeWilliamLeeSatisfactoryPerformance
TheabilityreproducibilityofasystemtoreachorexceedthetechnicalperformancemeasuresitwasdesignedtoachieveImportantinhighvolumeproductionWilliamLeeTimeorMission-relatedcycle
Timeisameasureagainstwhichthedegreeofsystemperformancecanberelated.Missionrelatedcycleistheoperatingtime-tableforactualoperation.Commonmeasurementsoftimeare:MeanTimeBeforeFailure(MTBF)MeanTimeToFailure(MTTF)WilliamLeeSpecifiedoperatingconditions
EnvironmentalfactorsGeographicallocationwherethesystemisexpectedtooperateAnticipatedperiodoftimeOperationalprofilePotentialimpactsresultingfromtemperaturecycling,humidity,vibrationandshockCommonlyoverlookedistransportationMeasuresofReliabilityR(t):TheReliabilityFunction
TheProbabilitythatthesystemwillbesuccessfulforsomespecifiedtime.R(t)=1-F(t):TheFailureDistributionFunction:TheProbabilitythatasystemwillfailbytimet.F(t)GregClowserMeasuresofReliabilityR(t):TheReliabilityFunctionIftherandomvariablethasadensityfunctionf(t)thenthereliabilityfunctioncanberepresentedby:R(t)=f(t)dtf(t)Iff(t)hasanexponentialdistributionthenthereliabilityfunctionisnow:
R(t)=dt=MeanLifeofthesystem=MTBF=1/λGregClowserMeasuresofReliabilityR(t):TheReliabilityFunctionThefinalReliabilityFunctionforanexponentialdistributionis:R(t)Thiscurveshowshowasystemwillbecomemoreunreliableastimeprogresses.GregClowserMeasuresofReliabilityTheFailureRate(λ)Therateatwhichfailuresoccurinaspecifiedtimeinterval.GregClowserMeasuresofReliabilityTheFailureRate(λ)Therateatwhichfailuresoccurinaspecifiedtimeinterval.FailureRateinitiallydecreasesasthesystemisdebugged.Failuresoccurmoreoftenasthesystemwearsout.NormalOperationSystemWear-outInitialDebuggingBathtubCurveGregClowserRedundancyinDesignFigure12.9ParallelNetworkwiththreecomponentsParallelNetworksProperties:Morethanoneofthesamecomponentsareinparallel.AllthecomponentsmustfailtocauseatotalSystemfailure.Reliabilityis1-(Pfail,n)ChadKendrickRedundancyinDesignParallelredundantnetworksareusedprimarilytoimprovesystemreliability.
AseriessystemPfail,n=0.05 Reliability=(0.95)3=0.8574 AparallelsystemPfail,n=0.05 Reliability=1-(0.05)3=0.9999ChadKendrickRedundancyinDesignAttheSubsystemlevelitmaybeappropriatetoaddparallelfunctionalcapabilities. i.e.incorporatingelectrical,digitalandmechanicalalternativesforaircraftflightcontrolAtthePiece-Partlevelitmaybeappropriatetoincorporateredundancywheremaintenancewouldnotbedesirable. i.e.redundancyinacircuitboardChadKendrickRedundancyinDesignRedundancydoesnotimprovereliabilitydirectly.Normallydoesnotsolveallproblemsasitoftenincreasesweight,spaceandpowerconsumption,hasgreatercomplexityandhighercosts.ButitmaybeonlywaytomeetsystemreliabilityChadKendrickRedundancyinDesignQuestionsforincorporatingRedundancy:Isitreallyrequiredintermsofsystemcriticalitytooperationandaccomplishmentofmission?Atwhatlevelshouldredundancybeincorporated?Shouldmaintainabilitybeconsideredinstead?Aretherealternatemethodsforimprovingreliability?(i.e.partselection,use,etc)ChadKendrickReliabilityAnalysisMethodsFailureMode,Effects,andCriticalityAnalysis(FMECA)Fault-TreeAnalysis(FTA)Stress-StrengthAnalysisJessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)DesigntechniquetoIdentifyandInvestigatePotentialSystemWeaknessesAlsoapplicabletoProduct/ProcessEvaluationAnalysiscanbeappliedatallstagesofthedesignprocessCanimpact“Before-the-fact”enhancementsinsystemdesignCanbeused“After-the-fact”toevaluateandimproveexistingsystemsonacontinuousbasisExampleReportingFormat–Fig12.21,pg.402JessicaTeachworthFMECAProcess(Fig.12.17)JessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)DefineSystem(productorprocess)RequirementsDescribethesystem,theexpectedoutcomes,andtherelevanttechnicalperformancemeasures(TPMs).AccomplishFunctionalAnalysisDefinetheSysteminFunctionalTermsFigure12.18(Pg.397)JessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)AccomplishRequirementsAllocationTop-DownbreakoutofSystem-LevelRequirements(RecallSection4.3)IdentifyFailureModesA“FailureMode”isthemannerinwhichasystemelementdoesnotaccomplishitsfunction.Examples:apipemayrupture,aswitchwon’tworkJessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)DetermineCausesofFailureAnalyzetheprocessorproducttodetermineactualcausesforwhyfailureoccurred.Fig.12.19(pg.398)Cause-and-Effect“Fishbone”DiagramJessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)DeterminetheEffectsofFailureConsiderhowthefailureofoneelementsaffectseverythingelse.IdentifyFailureDetectionMeansIfProcess-Oriented:ReferstoProcessControlsthatmaydetecttheoccurrenceoffailuresordefectsIfDesignFocused:ReferstoExistenceofanydesignfeatures,aids,evaluationprocedures,etc.thatwillresultinthedetectionofpotentialfailures.JessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)RateFailureModeSeverityIffailureoccurs,howseriousistheimpact?RateFailureModeFrequencyGiventhevarietyofpotentialfailuremodesforanelement,howlikelyisfailure?RatingDefinitionforSeverityDefinitionforFrequency1MinorEffectsRemoteChance(Unlikely)2to3LowEffectsLowChance(Veryfew)4to6ModerateEffectsModerate(Occasionally)7to8HighEffectsHigh(RepeatedFailures)9to10VeryHighVeryHigh(Failureisinevitable)JessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)RateFailureModeDetectionProbabilityPertainstotheProbabilityafailureordefectswillbeidentifiedbeforemajorsystemcatastropheAlsoarankingforcurrentprocesscontrolsRatingDefiintionforDetectionProbability1to2VeryHighRateofDetection3to4HighRateofDetection5to6ModerateRateofDetection7to8LowRateofDetection9VeryLowRateofDetection10AbsoluteCertaintyofNon-DetectionJessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)AnalyzeFailureModeCriticalityObjectiveistoconsolidateinformationtoidentifythemorecriticalsystemelementsFailurecriticallyisafunctionofseverity,frequency,andprobabilityofdetectionasaRiskPriorityNumber(RPN)RPN=(severity)x(frequency)x(probabilityofdetection)JessicaTeachworthFailureMode,Effects,andCriticalityAnalysis(FMECA)InitiateRecommendationsforProduct/ProcessImprovementThisistheiterativefeedbackprocessofidentifyingareaswithhighRPNsandevaluatingthecauses,andthesubsequentinitationofrecommendationsforproduct/processimprovement.(Fig.12.17)JessicaTeachworthSoniaCastilloFault-TreeAnalysis(FTA)FMECAisabottom-upapproachestoreliabilityanalysis.FTAistop-downthoughtprocessthatallowsforqualitativeandquantitativeanalysis.FTAisagraphicalrepresentationofeventsthatmightleadtofailure.SeeFigure12.22,page403SoniaCastilloFault-TreeAnalysis(FTA)GenericFault-Tree
AnalysisStepsare:
Definethe“top”or“primary”event.Thisisthefailureconditionunderstudy.Determineelements/causesoftop-levelevent.Determineprobabilitiesforeachoftheelements.Studythesystemtoseehowthevariouselementsrelatetooneanotherandtotheprimaryevent.SoniaCastilloFault-TreeAnalysis(FTA)GenericFault-Tree
AnalysisSteps:
Constructthefault
tree,startingwiththeprimaryeventandworkingdownward.Analyzethefault
treetoidentifywaysofeliminatingeventsthatleadtofailure.Prepareacorrectiveactionandcontingencyplansforpreventingand/ordealingwithfailures.Implementtheplans.SoniaCastilloFault-TreeAnalysiscontinued…TopLevelEventIntermediatefaultLowest-levelfaultUndevelopedeventInputEventANDlogicgateORlogicgateSoniaCastilloStress-StrengthThestress-strengthofcomponentsisamajorreliabilityconcern.Componentsaredesignedtooperateinnormalconditions.AdditionalstressesbeyonddesigncapabilitycanleadtounexpectedfailuresTemperatureHumidityVibration LoadsSoniaCastilloStress-StrengthAnalysisStress-strengthanalysissteps:Determinestressesasafunctionofloads,temp,vibration,time,etc.IdentifyfactorsaffectingmaximumstressIdentifyCRITICALstresscomponentsCalculatemeanstressesShearstressMaxtensilestressSoniaCastilloStress-StrengthAnalysisCont..Stress-strengthanalysissteps:DeterminecriticalstressdistributionAnalyzeparametersIdentifycomponentsafetymarginsTakecorrectiveactionComponentsubstitutionRedesignofsystemelementLSESystemReliabilityImportance?MandatesforLoadServingEntitiesNorthernAmericanElectricReliabilityCouncil(NERC)WesternElectricityCoordinatingCou
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 氯化炉工安全规范考核试卷及答案
- 道路货运站务员操作考核试卷及答案
- 钽碳还原火法冶炼工上岗考核试卷及答案
- 2023三年级英语下册 Unit 7 Is this an orange第1课时说课稿 湘少版
- 土地资源物联网数据分析-洞察及研究
- 2025年L-羟脯氨酸行业研究报告及未来行业发展趋势预测
- 黑龙江省海伦市7年级上册期末测试卷单元测评试题(解析版)
- 多模态数据时间序列分析-洞察及研究
- 2025年高低温轴承润滑脂行业研究报告及未来行业发展趋势预测
- 2025年不锈钢纤维行业研究报告及未来行业发展趋势预测
- (正式版)JTT 1218.6-2024 城市轨道交通运营设备维修与更新技术规范 第6部分:站台门
- 城市道路照明设计标准 CJJ 45-2015
- 2024年广东普通专升本《公共英语》完整版真题
- 安全隐患排查记录表样本
- T-JSIA 0002-2022 能源大数据数据目录指南
- 企业财务风险分析及防范-以永辉超市股份有限公司为例
- 药食同源课件
- 《数学与科技》课件
- 初中历史校本课程教案
- 智能采矿导论完整整套教学课件
- 初中信息技术奥赛基础知识
评论
0/150
提交评论