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MJROEMERCHONGSHHESLERSTRESSTECHNOLOGYINC,1800BRIGHTONHENRIETTATOWNLINERD,ROCHESTER,NY14623MACHINEHEALTHMONITORINGANDLIFEMANAGEMENTUSINGFINITEELEMENTBASEDNEURALNETWORKSTHISPAPERDEMONSTRATESANOVELAPPROACHTOCONDITIONBASEDHEALTHMONITORINGFORROTATINGMACHINERYUSINGRECENTADVANCESINNEURALNETWORKTECHNOLOGYANDROTORDYNAMIC,FINITEELEMENTMODELINGADESKTOPROTORDEMONSTRATIONRIGWASUSEDASAPROOFOFCONCEPTTOOLTHEAPPROACHINTEGRATESMACHINERYSENSORMEASUREMENTSWITHDETAILED,ROTORDYNAMIC,FINITEELEMENTMODELSTHROUGHANEURALNETWORKTHATISSPECIFICALLYTRAINEDTORESPONDTOTHEMACHINEBEINGMONITOREDTHEADVANTAGEOFTHISAPPROACHOVERCURRENTMETHODSLIESINTHEUSEOFANADVANCEDNEURALNETWORKTHENEURALNETWORKISTRAINEDTOCONTAINTHEKNOWLEDGEOFADETAILEDFINITEELEMENTMODELWHOSERESULTSAREINTEGRATEDWITHSYSTEMMEASUREMENTSTOPRODUCEACCURATEMACHINEFAULTDIAGNOSTICSANDCOMPONENTSTRESSPREDICTIONSTHISTECHNIQUETAKESADVANTAGEOFRECENTADVANCESINNEURALNETWORKTECHNOLOGYTHATENABLEREALTIMEMACHINERYDIAGNOSTICSANDCOMPONENTSTRESSPREDICTIONTOBEPERFORMEDONAPCWITHTHEACCURACYOFFINITEELEMENTANALYSISTHEAVAILABILITYOFTHEREALTIME,FINITEELEMENTBASEDKNOWLEDGEONROTATINGELEMENTSALLOWSFORREALTIMECOMPONENTLIFEPREDICTIONASWELLASACCURATEANDFASTFAULTDIAGNOSISINTRODUCTIONMAXIMIZINGOPERATINGLIFEANDAVAILABILITYOFALLCRITICALCOMPONENTSONROTATINGMACHINERY,WHILEMINIMIZINGUNPLANNEDMAINTENANCEDOWNTIMEANDTHERISKOFCATASTROPHICFAILURE,ISACOMMONGOALWITHINALLINDUSTRYTHISPAPERDEMONSTRATESAFINITEELEMENTBASEDNEURALSYSTEMFORIMPROVINGTHEPRESENTSTATEOFTHEARTINMACHINERYHEALTHMONITORINGBYINCREASINGTHEEFFECTIVENESSOFSTRUCTURALCOMPONENTDIAGNOSTICSANDMONITORINGINPARTICULAR,NEURALNETWORKCLASSIFIERSWEREDEVELOPEDTHATOPERATEASAHUBFORINFORMATIONGATHERINGANDSERVEDTOMAKEINFORMEDDECISIONSONAROTORSYSTEMSHEALTHUSINGEXPERIMENTALANDANALYTICALDATATHENETWORKOBSERVESTHEBEHAVIOROFTHEROTORSYSTEMBEINGMONITOREDTODIAGNOSESTRUCTURALFAULTSANDPREDICTCOMPONENTSTRESSESFROMAVARIETYOFPOTENTIALFAILURESOURCESADESKTOPDEMONSTRATIONROTORWASUSEDASAPROOFCONCEPTTOOLSENSORSONTHEDEMONSTRATIONRIGMEASUREVIBRATIONAMPLITUDEANDPHASEATAPPROPRIATELOCATIONSTHROUGHOUTTHEROTORSYSTEMFROMTHESEMEASUREMENTS,THENEURALSYSTEMWILLDIAGNOSEFAULTSANDPREDICTROTATINGMEMBERCOMPONENTSTRESSESBYWAYOFANEURALNETWORKTRAINEDEXTENSIVELYFROMADETAILED,ROTORDYNAMICS,FINITEELEMENTMODELFEMCURRENTLY,COMMERCIALLYAVAILABLEEXPERTSYSTEMSUSEDFORCONDITIONMONITORINGUSEONLYMEASUREDSYSTEMDATA,WITHNOKNOWLEDGEOFROTATINGCOMPONENTSTRESSESWITHOUTTHESESTRESSDATA,CALCULATINGREMAININGCOMPONENTLIFEDIRECTLYWOULDBEVERYDIFFICULTTHEMINIATURIZEDROTORRIGDEMONSTRATESHOWTHENEURALSYSTEMCANBEUSEDTOOBTAINBOTHREALTIME,FINITEELEMENTMODELRESULTSANDMACHINEFAULTDIAGNOSTICSTHEFINITEELEMENTMODELCAPABILITYISDEMONSTRATEDBYESTIMATINGTHEDYNAMICSTRESSESONTHEROTATINGSHAFTANDREACTIONFORCESONTHEBEARINGSTHEDIAGNOSISABILITYOFTHENETWORKISILLUSTRATEDBYPREDICTINGTHELOCATION,MAGNITUDE,ANDPHASEOFDISKUNBALANCES,AMOUNTOFMISALIGNMENT,DEGREEOFROTORRUBORMECHANICALLOOSENESS,ANDBEARINGCLEARANCEPROBLEMSTHEDYNAMICSTRESSESTIMATIONANDCONTRIBUTEDBYTHEINTERNATIONALGASTURBINEINSTITUTEANDPRESENTEDATTHE40THINTERNATIONALGASTURBINEANDAEROENGINECONGRESSANDEXHIBITION,HOUSTON,TEXAS,JUNE58,1995MANUSCRIPTRECEIVEDBYTHEINTERNATIONALGASTURBINEINSTITUTEFEBRUARY27,1995PAPERNO95GT243ASSOCIATETECHNICALEDITORCJRUSSOSTRUCTURALDIAGNOSESAREBOTHPERFORMEDFROMTHEVIBRATIONMEASUREMENTSTAKENFROMTHEBEARINGLOCATIONSTHISPAPERALSOSHOWSTHEABILITYOFTHENETWORKTOPREDICTTHENONLINEARDYNAMICSTRESSESINTHESHAFT,WHILESIMULTANEOUSLYPREDICTINGMECHANICALFAULTSROTORDEMONSTRATIONRIGANDMEASUREMENTPROCESSINGROTORSYSTEMCONFIGURATIONADESKTOPROTORRIGWASCONSTRUCTEDTODEMONSTRATETHECONCEPTSPROPOSEDINTHISPAPERONACTUALHARDWARETHEDEMONSTRATIONRIGWASDESIGNEDTOBEVERSATILEENOUGHTODUPLICATEVARIOUSVIBRATIONPRODUCINGPHENOMENAFOUNDINALLTYPESOFROTATINGSYSTEMSMANYDIFFERENTTYPESOFVIBRATIONRELATEDCHARACTERISTICSWERECREATEDANDMEASUREDBYCHANGINGROTORSPEED,DEGREEOFUNBALANCE,DEGREEOFMISALIGNMENT,SHAFTBOW,SHAFTRUB,ANDROTORBEARINGCLEARANCESTHERESULTINGDYNAMICCHARACTERISTICSAREMEASUREDWITHPROXIMITYPROBESAND/ORACCELEROMETERSANDAREPROCESSEDWITHAMULTICHANNELDYNAMICSIGNALANALYZERTHEROTORCONFIGURATIONSTUDIEDINTHISPAPERISSHOWNINFIG1THEROTORSETUPCONSISTSOFTHEFOLLOWINGCOMPONENTS1JQHPELECTRICMOTOR2FLEXIBLERUBBERCOUPLING3RIGIDSTEELCOUPLINGUSERCONTROLLEDSOURCEOFSHAFTMISALIGNMENT43BALLBEARINGSAND3JOURNALBEARINGS52ROTATINGDISKSWITHBALANCEWEIGHTHOLES6GINDIAMETERAND25INLONGSTEELSHAFT7MOTORSPEEDCONTROLLERWITHCLOSEDLOOPFEEDBACK8VARIOUSPROXIMITYPROBESANDACCELEROMETERS9FIXTURINGTOPROVIDEROTORPRELOADS,ROTORRUB,ANDMECHANICALLOOSENESSCONDITIONSTWOROLLERBEARINGSSUPPORTTHEMOTORARMATURE,WHILEFOUROILIMPREGNATEDBRONZESLEEVEBEARINGSAREPOSITIONEDBETWEENTHEVARIOUSCOUPLINGSANDDISKSASOLID36INALUMINUMBASEWITHADJUSTABLEBEARINGPEDESTALLOCATIONSANDRUBBERISOLATIONFEETPROVIDESUFFICIENTRIGIDITYTOTHEROTORCONFIGURATIONMOTORSPEEDCONTROLISMAINTAINEDWITHAPROPORTIONALSPEEDFEEDBACK830/VOL118,OCTOBER1996TRANSACTIONSOFTHEASMECOPYRIGHT1996BYASMEDOWNLOADED19MAR2009TO20219846243REDISTRIBUTIONSUBJECTTOASMELICENSEORCOPYRIGHT;SEEHTTP//WWWASMEORG/TERMS/TERMS_USECFMMOTORRIGIDCOUPFLEXCOUPBRG3FIG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