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- ISBN:9787502477707
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 开本:24cm
- 页数:13,294页
- 出版时间:2018-04-01
- 条形码:9787502477707 ; 978-7-5024-7770-7
内容简介
本书从过程控制角度详尽阐述带钢热连轧生产过程的关键动态数学模型,在此基础上,面向产品性能控制分别论述带钢热连轧生产过程的宽度控制、厚度控制、活套控制、温度控制、板形控制等;从提高产品质量为切入点,深入阐述带钢热连轧质量监测模型的建立、质量相关故障的检测以及质量相关故障的诊断;*后,从全流程的角度阐述多层级多工况下的带钢热连轧全流程质量的全景监测和质量相关故障的全景诊断,为带钢热连轧操作制造和优化提供有力的依据。本书适合过程控制研究人员、从事带钢热连轧过程控制研究开发技术人员、现场维护技术人员阅读。
目录
1Introduction1.1BasicConcepts1.1.1Rolling1.1.2HotRolling1.1.3ColdRolling1.1.4RollingMill1.1.5TandemMill1.1.6TotallyIntegratedAutomation1.1.7DistributedControlSystem1.2Motivation1.3OutlineoftheContents2ProcessDescriptionofModernHotStripMill2.1GeneralDescription
2.2ReheatFurnace2.3RoughingMill2.4FinishingMill2.4.1ControlRequirement2.4.2FinishingMillDisturbances2.5LaminarCooling2.6DownCoiler3ModellingofFinishingMill3.1SimplifiedPlant3.2Looper-StripSystem3.3MainDrive3.4RollActuators3.5Coiler3.6TransportDelay3.7Deformation3.8HeatTransfer3.9Slip3.10ModelCompletenessAnalysis3.11LinearState-SpaceForm3.11.1State-SpaceRepresentationofaSingleStand3.11.2State-spaceRepresentationoftheEntireMill4AutomaticWidthControl(AWC)4.1Basiccontrolstrategy4.2SS(ShortStroke)control
4.3RF(RollForce)-AWC4.4FF-AWC4.4.1ControlcalculationinLevel14.4.2CalculationinLevel24.5TheedgerFB-AWC4.5.1CalculationinLevel14.5.2CalculationinLevel24.6TensionFB-AWC4.6.1DynamicControlcalculation4.6.2Influencecoefficientcalculation4.7DirectGeneralizedPredictiveControlBasedonRBFinFinishingStripWidthControl
4.7.1FinishingMillAutomaticWidthControl4.7.1GeneralizedPredictiveControlMethod4.7.3Simulation5AutomaticGaugeControl(AGC)5.1GapCompensations5.2BackupRollBearingSpeedandForceEffect(OilFilmCompensation)5.3RollThermalandWear5.4WorkRollBendingForceCompensation(RollBendingCompensation)
5.5TensionLossCompensation5.6Gaugemeter5.6.1Modesofoperation5.6.2Implementation5.7EccentricityCompensation5.8XrayMonitorRegulatordetail5.8.1XrayDeviation5.8.2Regulator5.8.3GainChangesbyProductThickness5.8.4ExtraGain5.8.5EffectsofTransportDelay5.8.6AutoFan
5.8.7InhibitOvershoot5.8.8LoadBalance5.8.9TensionEffects5.8.10DraftCompensation5.8.11MaximumCorrectionClamp5.8.12GaugemeterDependency5.9Feedforwarddetail5.9.1Description5.9.2AdditionalFeatures5.9.3TuningUp5.10MassFlowCompensation5.10.1MassFlowConcepts5.10.2MassFlowErrors5.10.3MassFlowCalculationErrors6AutomaticProfileandShapeControl6.1DescriptionofHSMPinAnsteel6.1.1Hotstripmillprocess6.1.2Millconfiguration6.2Gapcrownmodelofrollsystem6.2.1Rollthermalcrownmodel6.2.2Rollwearcrownmodel6.2.3Compositivegapcrownofrollsystem
6.3Predictionmodelofstripshape6.3.1Relationshipbetweenstripcrownandflatness6.3.2Influenceoflateralflow6.3.3Predictionofstripcrownanddifferentialstrain6.3.4Predictionofstripflatness6.4Thestrategyofshapesetupmodel6.4.1Rangeofprofilecontrol6.4.2Strategyofcrownallocation
6.4.3Referencevaluesformechanicalactuators6.4.4Shapeevaluation6.5ApplicationinAnsteel1,700-mmHSMP7TheoryofQualityMonitoringforHotStripMill7.1TheTheoryandMethodofMultivariateStatisticalProcessMonitoring7.1.1Quality-RelevantFaultMonitoringBasedonEfficientProjectiontoLatentStructureswithApplicationtoHotStripMillProcess
7.1.2ASchemetoKeyPerformanceIndicatorBasedPredictionandDiagnosisinComplexIndustrialProcessandItsApplicationtoHotStripMill7.2QualityMonitoringMethodforNonlinearProcess7.2.1ContributionRatePlotforNonlinearQuality-RelatedFaultDiagnosiswithApplicationtoHotStripMillProcess
7.2.2Quality-RelatedProcessMonitoringBasedonTotalKernelPLSModelandItsIndustrialApplication7.3QualityMonitoringMethodforNon-GaussProcess7.3.1ANewKernelIndependentandPrincipalComponentsAnalysisBasedProcessMonitoringApproachwithApplicationtoHotStripMillProcess
7.3.2ANewData-DrivenProcessMonitoringSchemeforKeyPerformance7.4DynamicNon-GaussianApproachforQuality-RelatedFaultDiagnosis7.4.1Methodology7.4.2Quality-relatedprocessmonitoringbasedonDPLS-ICAmodel7.4.3Industrialapplication7.5QualityMonitoringMethodforBatchandMultimodeprocess
7.5.1AQuality-BasedNonlinearFaultDiagnosisFrameworkFocusingonIndustrialMultimodeBatchProcesses7.5.2Quality-RelatedPredictionandMonitoringofMulti-ModeProcessesUsingMultiplePLSwithApplicationtoHotStripMill7.5.3Quality-RelevantFaultDetectionandDiagnosisforHotStripMillProcesswithMulti-SpecificationandMulti-BatchMeasurements
8Data-DrivenQualityMonitoringTechniquesforDistributedParameterSystemswithApplicationtoHot-RolledStripLaminarCoolingProcess8.1Processdescription8.1.1Modelingofdistributedparametersystemsdescription8.1.2Finitedimensionalapproximationfordistributedparametersystemsinlaminarcoolingprocess
8.2Model-baseddesignofresidualgeneratorforDPS8.2.1Model-baseddesignofresidualgeneratorforDPS8.2.2Residualevaluationandthresholdsetting8.3Benchmarky8.3.1Data-drivenrealizationofsystemidentificationforstatespacerepresentation8.3.2Data-drivenrealizationoftheobtainedkernelrepresentationinHSLC
9RootCauseDiagnosisandPropagationPathIdentificationforQuality-RelatedFault9.1JointData-DrivenFaultDiagnosisIntegratingCausalityGraphwithStatisticalProcessMonitoringforComplexIndustrialProcesses9.1.1Correlationanalysisofprocessvariables9.1.2MonitoringofCIbyusingPPCAforfaultdetection
9.1.3Integratedfaultdiagnosisbasedoncasualitygraphandstatisticalprocessmonitoring9.1.4Applicationinhotstripmill9.2ANovelData-BasedQuality-RelatedFaultDiagnosisSchemeforFaultDetectionandRootCauseDiagnosiswithApplicationtoHotStripMillProcess9.2.1MCVA-basedquality-relatedfaultdetectionfordynamicprocesses
9.2.2Rootcausediagnosisofquality-relatedfaults9.2.3Casestudyonhotstripmillprocess
展开全部
作者简介
董洁,北京科技大学自动化学院副教授。主编2017年2月我社出版的《普通高等教育“十三五”规划教材----微机原理及接口技术习题与实验指导》数字化教材;主编2013年6月机械工业出版社出版的《北京市高等教育精品教材-----微型计算机原理及接口技术;参编我社2016年1月出版的《普通高等教育“十三五”规划教材——过程控制》。
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