外文翻译---锅炉用人工神经网络模型和信息分析

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1、附件二(外文文献)Constrainedoptimizationofcombustioninasimulatedcoal-firedboilerusingartificialneuralnetworkmodelandinformationanalysisAbstractCombustioninaboileristoocomplextobeanalyticallydescribedwithmathematicalmodels.Tomeettheneedsofoperationoptimization,on-siteexperimentsguidedbythestatistical

2、optimizationmethodsareoftennecessarytoachievetheoptimumoperatingconditions.Thisstudyproposesanewconstrainedoptimizationprocedureusingartificialneuralnetworksasmodelsfortargetprocesses.Informationanalysisbasedonrandomsearch,fuzzyc-meanclustering,andminimizationofinformationfreeenergyisperform

3、editerativelyintheproceduretosuggestthelocationoffutureexperiments,whichcangreatlyreducethenumberofexperimentsneeded.Theeffectivenessoftheproposedprocedureinsearchingoptimaisdemonstratedbythreecasestudies:(1)abench-markproblem,namelyminimizationofthemodifiedHimmelblaufunctionunderacirclecons

4、traint;(2)bothminimizationofNOxandCOemissionsandmaximizationofthermalefficiencyforasimulatedcombustionprocessofaboiler;(3)maximizationofthermalefficiencywithinNOxandCOemissionlimitsforthesamecombustionprocess.ThesimulatedcombustionprocessisbasedonacommercialsoftwarepackageCHEMKIN,where78chem

5、icalspeciesand467chemicalreactionsrelatedtothecombustionmechanismareincorporatedandaplug-flowmodelandaload-correlatedtemperaturedistributionforthecombustiontunnelofaboilerareused.1.IntroductionAlthoughtherehavebeenalotofexperimentalandtheoreticalstudiesonthebasicphysicalandchemicalprinciples

6、ofaboiler’soperation,andgreatadvancehasbeenmadeinunderstandingvariousaspectsoftheoperation,itisstillimpracticable,asCaravelleandcoworkers[1]havejustpointedout,tocoupledetailedfluiddynamicsandkineticsinthecombustionsystemdesignevenwiththecontinuousincreaseofcomputerpower,nottomentiontosimulat

7、eaboileranditsvariousauxiliarysubsystemsasawhole.Iffuelandenvironmentconditionsarespecified,thethermalefficiencyofagivenboilerdependsmainlyontheairtofuelratio,andonthedistributionofairandfueltoburnersatdifferentlocationsiftwoormoreburnersareused.Fo