基于神经网络的智能刀具状态检测系统(英文).pdf

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1、Dec.2000TransactionsofNanjingUniversityofAeronautics&AstronauticsVol.17.No.2ANINTELLIGENTTOOLCONDITIONMONITORINGSYSTEM?USINGFUZZYNEURALNETWORKSZhaoDongbiaoDepartmentofMechanicalEngineering,NUAA29YudaoStreet,Nanjing210016,P.R.ChinaKeshengWangOliverKrimmelDepartmentofP

2、roductionandQualityEngineering,NorwegianUniversityofScienceandTechnology,7034Trondheim,Norwayfuzzylogic;acousticemission;forcesensor;fuzzyneuralnetworksABSTRACTReliableon-linecuttingtoolconditioningmonitoringINTRODUCTIONisanessentialfeatureofautomaticmachinetoolandfl

3、exi-blemanufacturingsystem(FMS)andcomputerintegratedRecently,FMSandCIMS,whichreplacemanufacturingsystem(CIMS).Recentlyartificialneuralhumanoperatorswitharoboticcounterpartinnetworks(ANNs)areusedforthispurposeinconjunc-manufacturingorassemblycells,havebeencon-tionwith

4、suitablesensorysystems.Thepresentworkincernedinindustrialfield.TheabsenceofhumanNorwegianUniversityofScienceandTechnologyoperatorsrequiresthattheprocess-monitoring(NTNU)usesback-propagationneuralnetworks(BP)functioncontrolledbysensorsassociatedwithaandfuzzyneuralnetw

5、orks(FNN)toprocessthecuttingdecision-makingsystemisabletoanalyzethetoolstatedatameasuredwithforceandacousticemission(AE)sensors,andimplementsavaluableon-linetoolsensoryinputsandmakeanappropriatecontrolconditionmonitoringsystemusingtheANNs.Differentaction.Reliableon-l

6、inecuttingtoolconditioningANNstructuresaredesignedandinvestigatedtoestimatemonitoringisanessentialfeatureofautomaticthetoolwearstatebasedonthefusionofacousticemis-machinetoolandofFMSandCIMStoguaranteesionandforcesignals.Finally,fourcasestudiesarein-thatthetoolisingoo

7、dconditionwhileinuse;troducedforthesensingandANNprocessingofthetooltherefore,automaticandrapiddetectionoftoolwearstatesandthefailuresofthetoolwithpracticalex-breakagemustbeintegraltoFMSandCIMS.perimentexamples.Theresultsindicatethatatool-wearRecentlyANNsareusedforthi

8、spurposeincon-identificationsystemcanbeachievedusingthesensorsin-junctionwithsuitablesensorysystems.tegrationwithANNs,andthatANNspr