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1、NeuralNetworkApproachofActiveUltrasonicSignalsforStructuralHealthMonitoringAnalysisZacharyKral,WalterHorn,andJamesSteckDept.ofAerospaceEngineering,WichitaStateUniversity,Wichita,KS67260ABSTRACTMaintenanceisanimportantissueforaerospacesystems,sincetheyareinservic
2、ebeyondtheirdesignedlifetime.Thisrequiresscheduledinspectionsanddamagerepairbeforefailure.Researchisinprogresstodevelopastructuralhealthmonitoringsystem(SHMS)toimprovethismaintenanceroutine.Ultrasonictesting,utilizingasystemofpiezoelectricactuatorsandsensors,isa
3、promisingconceptMeasuredwavesignalsarecomparedwithsignalsforpreviouslyscannedstates.Changestothesignalcouldbetheresultofdamagetothecomponent.Thispaperfocusesonanalyzingthedifferencesofstates,usingartificialneuralnetworks.Neuralnetworkanalysishasthepotentialofcre
4、atingaSHMSofgreaterabilityandprocessing.Experimentswereperformedonathin,flataluminumpanel.Ultrasonicactuatorsandsensorswereinstalledandabaselinescanwasperformedontheundamagedpanel.Simulateddamagewasintroducedinspecificareas,andscanswereconductedforseveraldamaged
5、states.Neuralnetworkswerecreatedtoassessthechangingconditionsofthepanel.Thesystemwaslatertestedonalapjointspecimentoconfirmtheabilitiesoftheneuralnetwork.Thisformofanalysisperformedwellatlocatingandquantifyingareasofchangewithinthestructure.Theneuralnetworkperfo
6、rmanceindicatedthatithasaroleintheSHMSofaerospacestructures.Keywords:Structuralhealthmonitoring,artificialneuralnetwork,ultrasonictesting,damagedetection,thin-walledstructures,piezoelectricmaterials1INTRODUCTIONStructuralhealthmonitoringofaerospacesystemsiscurre
7、ntlyamajortopicofresearch.Foraircraftandotheraerospacesystems,thetimeofusein-serviceisfargreaterthanthedesignedlifetimes.Thus,maintenancebecomesakeyissue.Currentmaintenancesystemsarecomposedofsimplenondestructiveinspection(NDI)techniques,wheretheaircraftorstruct
8、ureistakenoutofserviceafterapredeterminedamountofservicelife.Forthesemaintenanceinspectionssimplemethods,suchaseyeinspectioncointaptests,mightbeusedtosearchforstructu
