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.Tomeettheneedsofoperationoptimizatio

2、n,on-siteexperimentsguidedbythestatisticaloptimizationmethodsareoftennecessarytoachievetheoptimumoperatingconditions.Thisstudyproposesanewconstrainedoptimizationprocedureusingartificialneuralnetworksasmodelsfortargetprocesses.Informationanalysisbased

3、onrandomsearch,fuzzyc-meanclustering,andminimizationofinformationfreeenergyisperformediterativelyintheproceduretosuggestthelocationoffutureexperiments,whichcangreatlyreducethenumberofexperimentsneeded.Theeffectivenessoftheproposedprocedureinsearching

4、optimaisdemonstratedbythreecasestudies:(1)abench-markproblem,namelyminimizationofthemodifiedHimmelblaufunctionunderacircleconstraint;(2)bothminimizationofNOxandCOemissionsandmaximizationofthermalefficiencyforasimulatedcombustionprocessofaboiler;(3)ma

5、ximizationofthermalefficiencywithinNOxandCOemissionlimitsforthesamecombustionprocess.ThesimulatedcombustionprocessisbasedonacommercialsoftwarepackageCHEMKIN,where78chemicalspeciesand467chemicalreactionsrelatedtothecombustionmechanismareincorporatedan

6、daplug-flowmodelandaload-correlatedtemperaturedistributionforthecombustiontunnelofaboilerareused.1.IntroductionAlthoughtherehavebeenalotofexperimentalandtheoreticalstudiesonthebasicphysicalandchemicalprinciplesofaboiler’soperation,andgreatadvancehasb

7、eenmadeinunderstandingvariousaspectsoftheoperation,itisstillimpracticable,asCaravelleandcoworkers[1]havejustpointedout,tocoupledetailedfluiddynamicsandkineticsinthecombustionsystemdesignevenwiththecontinuousincreaseofcomputerpower,nottomentiontosimul

8、ateaboileranditsvariousauxiliarysubsystemsasawhole.Iffuelandenvironmentconditionsarespecified,thethermalefficiencyofagivenboilerdependsmainlyontheairtofuelratio,andonthedistributionofairandfueltoburnersatdifferentlocationsiftwoormoreburnersareused.Fo