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带钢热连轧生产过程质量安全监测与稳定控制

带钢热连轧生产过程质量安全监测与稳定控制

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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
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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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