ASME SEC II C SFA-5.31-2001 钎焊和硬钎焊用溶剂规范.AWSA5.31-92
时间:2024-05-20 09:21:14 来源: 标准资料网 作者：标准资料网 阅读：8012
【英文标准名称】:SpecificationforFluxesforBrazingandBrazeWeldingAWSA5.31-92
【原文标准名称】:钎焊和硬钎焊用溶剂规范.AWSA5.31-92
【标准号】:ASMESECIICSFA-5.31-2001
【标准状态】:现行
【国别】:美国
【发布日期】:2001-07-01
【实施或试行日期】:
【发布单位】:美国机械工程师协会(US-ASME)
【起草单位】:
【标准类型】:()
【标准水平】:()
【中文主题词】:
【英文主题词】:
【摘要】:BoilerandPressureVessel.SpecificationforFluxesforBrazingandBrazeWeldingAWSA5.31-92
【中国标准分类号】:J33
【国际标准分类号】:
【页数】:
【正文语种】:英语
【英文标准名称】:ESSENTIALOILS.GENERALRULESFORPACKING,CONDITIONINGANDSTORAGE.
【原文标准名称】:香精油.包装一般规则
【标准号】:NFT75-001-1989
【标准状态】:作废
【国别】:法国
【发布日期】:1989-04
【实施或试行日期】:1989-03-20
【发布单位】:法国标准化协会(AFNOR)
【起草单位】:
【标准类型】:()
【标准水平】:()
【中文主题词】:塑料;玻璃;金属;货物保管条件;金属包装;储存;容器;香精油;状态调节;玻璃包装;规范;塑料包装;包装材料;包装;包装件
【英文主题词】:conditionofgoods;metalpackaging;specifications;glass;essentialoils;metals;containers;glasspackaging;conditioning;plasticpackaging;packagingmaterials;plastics;packing;packages;storage
【摘要】:
【中国标准分类号】:B36;X46
【国际标准分类号】:
【页数】:7P;A4
【正文语种】:其他
【英文标准名称】:StandardPracticeforValidationofthePerformanceofMultivariateOnline,At-Line,andLaboratoryInfraredSpectrophotometerBasedAnalyzerSystems
【原文标准名称】:多变量联机和实验室基于红外分光光度计的分析仪系统的性能确认的标准实施规程
【标准号】:ASTMD6122-2010
【标准状态】:现行
【国别】:美国
【发布日期】:2010
【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】:D02.25
【标准类型】:(Practice)
【标准水平】:()
【中文主题词】:
【英文主题词】:controlchart;infraredanalyzer;infraredspectrophotometers;IRspectroscopy;multivariateprocess;NIRspectroscopy;statisticalqualityassurance;validation;Controlcharttechnique;Infraredspectrophotometry;IRspectroscopy;Multivariateanalyses;
【摘要】:Theprimarypurposeofthispracticeistopermittheusertovalidatenumericalvaluesproducedbyamultivariate,infraredornear-infraredlaboratoryorprocess(onlineorat-line)analyzercalibratedtomeasureaspecificchemicalconcentration,chemicalproperty,orphysicalproperty.Thevalidatedanalyzerresultsareexpectedtobeequivalent,overdiversesampleswhosespectraareneitheroutliersornearestneighborinliers,tothoseproducedbytheprimarytestmethodtowithincontrollimitsestablishedbycontrolchartsfortheprespecifiedstatisticalconfidencelevel.Proceduresaredescribedforverifyingthattheinstrument,themodel,andtheanalyzersystemarestableandproperlyoperating.Amultivariateanalyzersysteminherentlyutilizesamultivariatecalibrationmodel.Inpracticethemodelbothimplicitlyandexplicitlyspanssomesubsetofthepopulationofallpossiblesamplesthatcouldbeinthecompletemultivariatesamplespace.Themodelisapplicableonlytosamplesthatfallwithinthesubsetpopulationusedinthemodelconstruction.Asamplemeasurementcannotbevalidatedunlessapplicabilityisestablished.Applicabilitycannotbeassumed.Outlierdetectionmethodsareusedtodemonstrateapplicabilityofthecalibrationmodelfortheanalysisoftheprocesssamplespectrum.Theoutlierdetectionlimitsarebasedonhistoricalaswellastheoreticalcriteria.Theoutlierdetectionmethodsareusedtoestablishwhethertheresultsobtainedbyananalyzerarepotentiallyvalid.Thevalidationproceduresarebasedonmathematicaltestcriteriathatindicatewhethertheprocesssamplespectrumiswithintherangespannedbytheanalyzersystemcalibrationmodel.Ifthesamplespectrumisanoutlier,theanalyzerresultisinvalid.Ifthesamplespectrumisnotanoutlier,thentheanalyzerresultisvalidprovidingthatallotherrequirementsforvalidityaremet.Additional,optionaltestsmaybeperformedtodetermineiftheprocesssamplespectrumfallsinasparselypopulatedregionofthemultivariatespacecoveredbythecalibrationset,toofarfromneighboringcalibrationspectratoensuregoodinterpolation.Forexample,suchnearestneighbortestsarerecommendedifthecalibrationsamplespectraarehighlyclustered.Thispracticedoesnotdefinemathematicalcriteriatodeterminefromaspectroscopicmeasurementofasamplewhetherthesample,themodel,ortheinstrumentisthecauseofanoutliermeasurement.Thustheoperatorwhoismeasuringsamplesonaroutinebasiswillfindcriteriaintheoutlierdetectionmethodtodeterminewhetherasamplemeasurementlieswithintheexpectedcalibrationspace,butwillnothavespecificinformationastothecauseoftheoutlierwithoutadditionaltesting.1.1Thispracticecoversrequirementsforthevalidationofmeasurementsmadebylaboratoryorprocess(onlineorat-line)near-ormid-infraredanalyzers,orboth,usedinthecalculationofphysical,chemical,orqualityparameters(thatis,properties)ofliquidpetroleumproducts.Thepropertiesarecalculatedfromspectroscopicdatausingmultivariatemodelingmethods.Therequirementsincludeverificationofadequateinstrumentperformance,verificationoftheapplicabilityofthecalibrationmodeltothespectrumofthesampleundertest,andverificationofequivalencebetweentheresultcalculatedfromtheinfraredmeasurementsandtheresultproducedbytheprimarytestmethodusedforthedevelopmentofthecalibrationmodel.Whenthereisadequatevariationinpropertylevel,thestatisticalmethodologyofPracticeD6708isusedtoprovidegeneralvalidationofthisequivalenceoverthecompleteoperatingrangeoftheanalyzer.Forcaseswherethereisinadequatepropertyvariation,methodologyfor......
【中国标准分类号】:N33
【国际标准分类号】:17_180_30
【页数】:30P.;A4
【正文语种】:英语