起重机液压系统支腿的智能故障诊断研究【中文4600字】
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起重机
液压
系统
智能
故障诊断
研究
钻研
中文
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起重机液压系统支腿的智能故障诊断研究【中文4600字】,起重机,液压,系统,智能,故障诊断,研究,钻研,中文
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附件2外文原文RESEARCHOFINTELLIGENTFAULTDIAGNOSISFORHYDRAULICSYSTEMOFCRANESOUTRIGGERSLIWANLI,HUAJIAKUI,WANGPENGCHEN,ZHUFUMIN21COLLEGEOFMECHANICALENGINEERING,TON自IUNIVERSITY,SHANGHAI201804,CHINA2LOGISTICSENGINEERINGCOLLEGE,SHANGHAIMARITIMEUNIVERSITY,SHANGHAI200135,CHINACORRESPONDINGAUTHORCNLWLTONGJIEDUCNABSTRACTTHECOMPLEXITYOFHYDRAULICSYSTEMSOFCRANEOUTRIGGERSISGROWING,WHICHDEMANDSTHEFAULTDIAGNOSISOFTHESYSTEMSTOBEFASTERANDCOMPREHENSIVEBASEDONTHESTRUCTURALCHARACTERISTICSOFTHEHYDRAULICSYSTEMSOFCRANEOUTRIGGERS,THISPAPERPROPOSESARAPIDANDEXTENSIVEHARDWAREANDSOFTWAREARCHITECTUREMODELOFCONDITIONINGMONITORINGANDFAULTDIAGNOSISSYSTEMINTHISPAPER,TREEDIAGNOSTICMETHODANDFUZZYNEUTRALNETWORKTHEORYISAPPLIEDTHETHEORETICALBASISASWELLASTHEIMPLEMENTATIONMETHODFORTHISANDSIMILARHYDRAULICSYSTEMSFAULTDIAGNOSISISPROVIDEDKEYWORDSCRANES,FAULTDIAGNOSIS,NEURALNETWORK1INTRODUCTIONTRUCKCRANEISANIMPORTANTMODELOFENGINEERINGMACHINERYWITHITSGROWINGCOMPLEXITYINSTRUCTUREANDFUNCTION,ITISMOREPRONETOCOMPLEXTROUBLES,SOTHATITISHARDERTODIAGNOSISTHEFAULTFORHYDRAULICSYSTEMOFCRANESOUTRIGGERSINSUCHSCENARIOS,ASINGLETHEORYORMETHOD,WHETHERCLASSICORSMART,ISFARFROMSUFFICIENTTOACHIEVEFAULTDIAGNOSISTHATARECOMPREHENSIVE,ACCURATEANDFASTNEVERTHELESS,THECOMBINATIONOFCLASSICMETHODANDSMART,TWOSMARTMETHODSORMORE,MAYMAKEAGOODCOMPROMISEBETWEENTHEDIAGNOSISACCURACYANDSPEEDWITHTHEABOVEUNDERSTANDING,THISPAPERUTILIZESACOMBINEDDIAGNOSISALGORITHM,WHICHISTHEFUZZYNEURALNETWORK,FORTHEFAULTDIAGNOSISOFHYDRAULICSYSTEMOFCRANEOUTRIGGERSTHEALGORITHMISIMPLEMENTEDWITHAHARDWAREPLATFORMANDASOFTWAREMODELOFTHEDIAGNOSISTHATREALIZEDTHECONDITIONMONITORINGANDFAULTDIAGNOSISOFTHEHYDRAULICSYSTEM2ESTABLISHMENTOFFAULTDIAGNOSISMODELOFTHEHYDRAULICSYSTEMOFOUTRIGGERSBASEDONFUZZYNEURALNETWORKTHEFUZZYNEURALNETWORKFNNSTRUCTUREMODELCOLLECTSTHEADVANTAGESOFNEURALNETWORKANDFUZZYTHEORYTHEFNNUSEDBYFAULTDIAGNOSISOFTHEHYDRAULICSYSTEMOFOUTRIGGERSINTHISPAPERISSHOWNINFIGURE1THEFNNISBASEDONBPBACKPROPAGATIONARTIFICIALNEURALNETWORKANDUSESTHETANDEMWAYWITHFUZZYSYSTEMTHEINPUTANDOUTPUTOFTHENETWORKAREFUZZYQUANTITYANDMEMBERSHIPOFSOMEFEATURESANDSOMEMODELSTHENETWORKSTRUCTUREISDIVIDEDINTOFIVELAYERS,INPUTLAYER,FUZZYLAYER,HIDDENLAYER,OUTPUTLAYER,FUZZIFICATIONELIMINATIONLAYERFIG1STRUCTUREMODELOFFNNALGORITHMINPUTLAYERISTHEFIRSTLAYEROFTHENETWORKTHISLAYERRECEIVESINPUTCHARACTERISTICSIGNALFROMOUTSIDEBEFOREDIRECTLYTRANSPORTSTHECHARACTERISTICSIGNALTOTHESECONDFLOORFUZZYNEURONSTHETRANSFERWEIGHTIS1THENUMBEROFNODESINTHEINPUTLAYERDEPENDSONTHENUMBEROFCHARACTERISTICSIGNALOFTHEDIAGNOSISFUZZYLAYERISTHESECONDLAYEROFTHENETWORKITSFUNCTIONISTOCALCULATEMEMBERSHIPOFTHEINPUTCHARACTERISTICSSIGNALTHATBELONGSTOFUZZYSETOFEACHVARIABLEVALUE,ACCORDINGTOTHEMEMBERSHIPFUNCTIONSOFTHEFUZZYSUBSETSAFTERFUZZIFICATION,EACHINPUTLAYERNODECORRESPONDSTOTHREEFUZZYLAYERNODES,REPRESENTINGTHEHIGHSIDE,NORMALANDTHELOWSIDERESPECTIVELYTHEREFORE,THENUMBEROFNODESIS3TIMESOFTHENUMBEROFINPUTNODESHIDDENLAYERISTHETHIRDLAYEROFTHENETWORKITISUSEDTOIMPLEMENTTHEMAPPINGFROMINPUTVARIABLEFUZZYVALUETOTHEOUTPUTVARIABLEFUZZYVALUETHEACTIVATIONFUNCTIONUSEDISSIGMOIDFUNCTIONTHENUMBEROFTHENODESISTWOTIMESOFTHENUMBEROFFUZZYLAYERNODES,ACCORDINGTOTHEOREMOFKOLMOGOROVDURINGTHETRAININGPROCESS,ADJUSTMENTSCANBEMADEACCORDINGTODIFFERENTLEVELOFACCURACYOUTPUTLAYERISTHEFOURTHLAYEROFTHENETWORKEACHNODEOFITISCORRESPONDINGTOEACHFAULTCAUSESOFTHEHYDRAULICSUBSYSTEMOUTPUTVALUEISTHEMEMBERSHIPSIZEAFFILIATEDTOTHEFAULTCAUSESTHENUMBEROFTHENODESCORRESPONDSTOTHENUMBEROFCAUSESOFTYPICALFAULTSOFTHEHYDRAULICSYSTEMFUZZIFICATIONELIMINATIONLAYERISTHEFIFTHLAYEROFTHENETWORKITCLARIFIESTHEFUZZYRESULTSOFTHEOUTPUTLAYERANDOUTPUTSTHEDEFINITEDIAGNOSISRESULTSTHECLARITYCALCULATIONISBASEDONMINIMUMTHRESHOLDVALUEPRINCIPLEMEMBERSHIPVALUEOFFAULTCOMPONENTSSHOULDBEGREATERTHANSOMETHRESHOLDS,WHICHISDEFINEDINDEBUGGINGTHEVALUESHOULDBESETTOANAPPROPRIATEVALUEALARGEMEMBERSHIPVALUEMIGHTLEADTOTHEIGNORANCEOFSOMEFAULTSWHILEASMALLVALUEMAYCAUSEFALSEALARMSOFFAULTSFIG2CHARACTERISTICSIGNALOFWORKCONDITIONOFTHEHYDRAULICSYSTEMOFCRANESOUTRIGGERS1TEMPERATURESENSOR2LEVELSENSOR3PRESSURE/FLOWSENSOR4PRESSURESENSORTHECHARACTERISTICSIGNALOFTHEWORKINGCONDITIONOFTHEHYDRAULICSYSTEMISCHOSENASFOLLOWSTHEOILTEMPERATUREOFTHEHYDRAULICSYSTEM,OILLEVELINTANK,OILPRESSUREANDFLOWOFPUMPEXIT,OPERATINGPRESSUREANDOILRELIEFPRESSUREOFTHEHORIZONTALANDVERTICALHYDRAULICCYLINDEROFEACHLEGTHEDISTRIBUTIONOFMONITORINGSIGNALISSHOWNINFIGURE2BESIDESTHECHARACTERISTICSIGNALOFTHEWORKINGCONDITION,OTHERSIGNALSARECHOSEN,INCLUDINGCONTROLSIGNALOFSTRETCH/SHRINKAGEOFHORIZONTAL/VERTICALLEGS,LINKAGESTRETCH/SHRINKAGEOFHORIZONTAL/VERTICALLEGSANDSELECTIONSIGNALOFHALFASTRETCH/ALLSTRETCHOFHORIZONTALLEGS,ETC1THEOILTEMPERATUREWHENTHELEGSYSTEMWORKSPROPERLY,THEOILTEMPERATUREISUSUALLY4060BUTWHENFAULTOCCURS,THEHYDRAULICOILTEMPERATUREMIGHTEXPERIENCEFLUCTUATIONSTHISMIGHTBECAUSEDBYLEAKAGEOFGEARPUMPLEAKAGEORSTUCKOFALEGHYDRAULICCYLINDERLEAKAGEORTOOHIGHADJUSTMENTPRESSUREOFRELIEFVALVE,ETC2OILLEVELINTANKWHENTHELEGSYSTEMWORKSPROPERLY,OILLEVELKEEPSCHANGINGACCORDINGTOACERTAINFASHIONWHENSOMEHYDRAULICCOMPONENTSINTHESYSTEMENCOUNTERLEAKAGEOROTHERFAULTS,THESYSTEMSHYDRAULICOILLEVELWILLCHANGEACCORDINGTOTHECONDITIONOFWORK3THEOILPRESSUREONGEARPUMPEXITHYDRAULICOILPRESSUREONPUMPEXITISDETERMINEDBYEXTERNALLOADIFTHESYSTEMENCOUNTERSFAULTS,THEOUTLETPRESSURECANEXPERIENCEDRASTICCHANGE4OUTPUTOILFLOWOFGEARPUMPIFTHEHYDRAULICPUMPENCOUNTERSFAULTS,THEOUTPUTOILFLOWWILLNOTBEABLETOREACHASTABLERANGEWITHINALONGTIME5OILPRESSUREOFTHEHORIZONTALRODLESSHYDRAULICCYLINDERWHENTHELEGSSTRETCHEDOUTHORIZONTALLY,OILPRESSUREOFRODLESSHYDRAULICCYLINDERDEPENDSONTHERESISTANCEOFTHELEGTHERESISTANCEINCLUDESFRICTIONRESISTANCEANDHYDRAULICRESISTANCEOFRODLESSHYDRAULICCYLINDERWHENTHELEGSDRAWBACKHORIZONTALLY,OILPRESSUREOFRODLESSHYDRAULICCYLINDERDEPENDSONTHEOILRELIEFPRESSUREOFBACKOILWAYWHENTHELEGSSTRETCHEDOUTHORIZONTALLY,IFLEAKAGEHAPPENSTOTHEHORIZONTALHYDRAULICCYLINDERORTHEREVERSINGVALVESTHATCONTROLSTHECYLINDER,THEOILPRESSUREOFTHERODLESSHYDRAULICCYLINDERWILLBEBELOWTHENORMALRANGECONSEQUENTLY,THELEGSCANNOTMOVEORMOVESLUGGISHLYWHENTHELEGSDRAWBACKHORIZONTALLY,IFOBSTRUCTIONHAPPENSTOTHEBACKPRESSUREVALUEOROILFILTERS,THEOILPRESSUREOFTHERODLESSHYDRAULICCYLINDERWILLBEABOVETHENORMALRANGECONSEQUENTLY,THELEGSCANNOTRETURN6OILPRESSUREOFTHEHORIZONTALRODHYDRAULICCYLINDERWHENTHELEGSSTRETCHEDOUTHORIZONTALLY,OILPRESSUREOFRODHYDRAULICCYLINDERDEPENDSONTHEOILRELIEFPRESSUREOFBACKOILWAYWHENTHELEGSDRAWBACKHORIZONTALLY,OILPRESSUREOFRODHYDRAULICCYLINDERDEPENDSONTHERESISTANCEOFTHELEGTHERESISTANCEINCLUDESFRICTIONRESISTANCEANDHYDRAULICRESISTANCEOFRODHYDRAULICCYLINDERWHENTHELEGSSTRETCHEDOUTHORIZONTALLY,IFOBSTRUCTIONHAPPENSTOBACKPRESSUREVALVEOROILFILTERS,THEOILPRESSUREOFTHERODLESSHYDRAULICCYLINDERWILLBEABOVETHENORMALRANGECONSEQUENTLY,THELEGSCANNOTMOVEORMOVESLUGGISHLYWHENTHELEGSDRAWBACKHORIZONTALLY,IFLEAKAGEHAPPENSTOTHEHORIZONTALHYDRAULICCYLINDERORTHEREVERSINGVALVESTHATCONTROLSTHECYLINDER,THEOILPRESSUREOFTHERODHYDRAULICCYLINDERWILLBEBELOWTHENORMALRANGECONSEQUENTLY,THELEGSCANNOTRETURNTHEVERTICALHYDRAULICCYLINDERHASTHESIMILARTHEORYWITHTHEHORIZONTALONESTHEABOVEANALYSISDESCRIBESTHERELATIONSHIPBETWEENCHARACTERISTICSIGNALS,FAULTPHENOMENAANDFAULTCAUSESDURINGTHEOPERATION,EACHCHARACTERISTICSIGNALISRELATEDTOMANYPHENOMENAANDCAUSESOFFAULTWHILEEACHPHENOMENONORCAUSEOFFAULTSMAYBEINDICATEDBYMANYCHARACTERISTICSIGNALSASMENTIONEDABOVE,WECANDIAGNOSISSOMEFAILURECAUSESBYFUZZYNEURALNETWORKBASEDONTHESENSORWEHAVETHEFAILURECAUSESAREASFELLOWSSHORTAGEOFOIL,HYDRAULICPUMPFAILURE,RELIEFVALVEFAILURE,ELECTROMAGNETICREVERSINGVALVEFAILURE,BIDIRECTIONALHYDRAULICLOCKFAILURE,LEAKAGEOFHORIZONTALHYDRAULICCYLINDEROFLEGS,LEAKAGEOFVERTICALHYDRAULICCYLINDEROFLEGS,ANDOBSTRUCTIONOFBACKPRESSUREVALVEANDOILFILTERS,ETCACCORDINGTOTHERELATEDDESIGNANDTUNINGOFTHEPARAMETERSOFTHEHYDRAULICSYSTEM,THENORMALRANGEOFCHARACTERISTICSIGNALPARAMETERSANDTHESEVERITYOFTHEPOSSIBLEDEVIATIONAREOBTAINEDASSHOWNINTABLE1TABLE1NORMALRANGEOFCHARACTERISTICSIGNALOFTHEHYDRAULICSYSTEM22FUZZIFICATIONPROCESSANDSELECTIONONMEMBERSHIPFUNCTIONSOFCHARACTERISTICSIGNALOFTHEHYDRAULICSYSTEMACCORDINGTOTHEMEASUREMENTOFEACHCHARACTERISTICSIGNALPARAMETEROFHYDRAULICSYSTEM,WECANKNOWIFTHEPARAMETERISNORMAL,SLANTSSMALLORSLANTSBIGASFORTHEMEMBERSHIPDEGREEINTHERANGE,NAMELYTHEMEMBERSHIPDEGREEBETWEENFAULTCAUSESANDFAULTPHENOMENA,ITISDEFINEDBYTHECORRESPONDINGMEMBERSHIPFUNCTIONSTHERELEVANCEBETWEENFUZZYMEMBERSHIPFUNCTIONSANDACTUALSITUATIONAFFECTSTHEDIAGNOSISRESULTSDIRECTLYTHEREFORE,TODETERMINETHEMEMBERSHIPFUNCTIONISTHEKEYTOTHEWHOLEFAULTDIAGNOSISINMANYCASES,ACCORDINGTOTHEACTUALSITUATION,THEMOSTSIMPLEANDEFFECTIVEMETHODISTOUSESOMECOMMONMEMBERSHIPFUNCTIONTOAPPROXIMATELYEXPRESSSOMEFUZZYVARIABLESACCORDINGTOPASTEXPERIENCEANDACTUALCHANGEOFPARAMETERS,THISPAPERSELECTSTHECOMMONLYUSEDBELLMEMBERSHIPFUNCTIONSASANORMALSTATEOFMEMBERSHIPFUNCTIONS,THEDOWNZTYPEMEMBERSHIPFUNCTIONSASSLANTSSMALLSTATEOFMEMBERSHIPFUNCTIONSANDUPZTYPEMEMBERSHIPFUNCTIONSASSLANTSBIGSTATEOFMEMBERSHIPFUNCTIONSCONSIDERINGTHATTHEREISNOOBVIOUSBOUNDARYOFTHESEFUZZYCONCEPTSOFSLANTSSMALL,NORMALANDSLANTSSMALL,OVERLAPPINGPARTMUSTBESETFORTHESEMEMBERSHIPFUNCTIONSREFLECTEDINTHEMEMBERSHIPFUNCTIONCURVEOFFUZZYSETSCHOOSINGTHERIGHTOVERLAPRATEISANIMPORTANTFACTORTOGUARANTEETHERELIABILITYOFTHEDIAGNOSISWITHREFERENCETOPASTEXPERIENCE,THEOVERLAPRATEOFTHEMEMBERSHIPFUNCTIONSOFTHISPAPERWASSELECTEDBETWEEN02AND06AFTERACOMPREHENSIVECONSIDERATIONOFTHENUMBER,SHAPE,POSITIONDISTRIBUTION,OVERLAPPINGRATEANDSOON,WEDETERMINEDMEMBERSHIPFUNCTIONSOFCHARACTERISTICSIGNALPARAMETERSOFTHEHYDRAULICSYSTEMOFOUTRIGGERSFIGS3,4,5,6,7AND8ACCORDINGTOACTUALSITUATIONOFTHEOPERATION,WEHAVEADJUSTEDTHEPARAMETERSFORTHEMEMBERSHIPFUNCTIONSFIG3MEMBERSHIPFUNCTIONSOFTHETEMPERATUREOFHYDRAULICOILFIG4MEMBERSHIPFUNCTIONSOFTHEOILLEVELFIG5MEMBERSHIPFUNCTIONSOFTHEOILRELIEFPRESSUREFIG6MEMBERSHIPFUNCTIONSOFTHEWORKPRESSUREOFHYDROCYLINDERFIG7MEMBERSHIPFUNCTIONSOFTHEWORKFLOWOFHYDROCYLINDERFIG8MEMBERSHIPFUNCTIONSOFTHECONTROLOILPRESSUREFUZZIFICATIONPROCESSOFCHARACTERISTICSIGNALPARAMETERSISTOTRANSFERTHEPRECISEINPUTVALUESOFCHARACTERISTICSIGNALPARAMETERTOFUZZYMEMBERSHIPVALUEFIRSTLY,THEINPUTVALUESOFCHARACTERISTICSIGNALPARAMETERTOEACHRANGE,THERANGEOFSLANTSSMALL,SLANTSBIG,NORMALARETRANSFERREDSECONDLY,FUZZIFICATIONPROCESSISCONDUCTEDTOTHECHARACTERISTICSIGNALPARAMETERSTHATHAVEBEENTRANSFERREDTOCERTAINDOMAINRANGETHEPROCESSWOULDTURNTHEORIGINALPRECISEINPUTINTOFUZZYMEMBERSHIPVALUEBETWEEN0123TRAININGANDLEARNINGOFFUZZYNEURALNETWORKMODELOFTHEHYDRAULICSYSTEMWEMAKETHECHARACTERISTICSIGNALOFTHEHYDRAULICSYSTEMOFOUTRIGGERSASTHEFUZZYNEURALNETWORKSINPUTANDTHECORRESPONDINGFAILURECAUSESOFSYSTEMASFUZZYNEURALNETWORKSOUTPUTTHENWESETUPNETWORKMODELOFFAULTDIAGNOSISRESPECTIVELYASFIGURE1THEPROCESSOFTRAININGANDLEARNINGARESHOWNINFIG9EACHOPERATIONLOOPCONSISTSTHEFOLLOWINGFIRSTLY,ITREADSTRAININGSAMPLEDATAANDTHERANGEOFEACHFEATUREPARAMETERFROMTHEKNOWLEDGEDATABASES,ANDOPERATESFUZZIFICATIONPROCESSWITHTHESAMPLEDATAOFINPUTFAULTSECOND,ITWRITESTHEFUZZIFICATIONPROCESSDATAANDTHEEXPECTEDOUTPUTFAULTSAMPLESDATAINTOTHENEURALNETWORKTHENITCALCULATESTHEOUTPUTOFEACHLAYERNODEBYTHENEURALNETWORKTHIRD,ITCALCULATESTHEERRORBETWEENACTUALOUTPUTOFOUTPUTLAYERNODEANDEXPECTEDOUTPUT,ANDDETERMINESIFTHETRAININGRESULTSMEETTHEREQUIREMENTOFACCURACYIFPRECISIONREQUIREMENTORTOTHEMAXIMUMNUMBEROFTRAININGAREMET,ITSTORESTHISTRAININGSNETWORKWEIGHTSANDTHRESHOLDINTOKNOWLEDGEDATABASE,BEFOREENDSTHISTRAININGPROCESSIFTHEPRECISIONREQUIREMENTORTOTHEMAXIMUMNUMBEROFTRAININGSARENOTMET,ITIMPLEMENTSBACKWARDTRANSMISSIONCALCULATIONONTHEDIRECTIONOFREDUCINGTHEERROR,ANDADJUSTSTHEWEIGHTSANDTHRESHOLDOFOUTPUTLAYERANDHIDDENLAYERAFTERTHAT,ITIMPLEMENTSANEWFORWARDTRANSMISSIONCALCULATIONTOCALCULATETHEOUTPUTERRORBEFORENEXTCOMPARISONTOTHEPRECISIONREQUIREMENTSANDMAXIMUMNUMBEROFTRAININGSREPEATTHESTEPSTHEABOVESTEPSUNTILTHETWOCRITERIAAREMET3IMPLEMENTATIONOFTHEMONITORINGANDFAULTDIAGNOSISFIG10SHOWSTHESOFTWAREARCHITECTUREOFCONDITIONMONITORINGANDFAULTDIAGNOSISWEADOPTTHETOPDOWNAPPROACHFORSOFTWAREDEVELOPINGTHESOFTWAREISDIVIDEDINTOSEPARATEMODULES,WHICHISCONVENIENTFORDEBUGGING,CODEMAINTAININGANDEXTENSIONSFIGLLSHOWSTHEHARDWAREARCHITECTUREOFTHEMONITORINGANDFAULTDIAGNOSISTHEHARDWARESETCONSISTSOFMONITORINGSENSOR,PLCCONTROLLERSYSTEM,DATAACQUISITIONBOARDSANDVEHICLEMOUNTEDCOMPUTERORPC,ETCFIG10SOFTWAREARCHITECTUREFIG11HARDWAREARCHITECTUREFIG12SHOWSTHEUSERINTERFACEOFTHEHARDWARESYSTEMOFTHEFUZZYNEURALNETWORKFAULTDIAGNOSISUSERINTERFACEISDIVIDEDINTO3AREASVISUALLY,NAMELYTHEREALTIMEPARAMETERSMONITORINGAREA,DIAGNOSISREPORTANDMAINTENANCESUGGESTIONDISPLAYAREAANDTOOLSBUTTONAREADIAGNOSISREPORTCONSISTSOFDIAGNOSISTIME,DIAGNOSISALGORITHMID,FAULTCODE,FAULTPHENOMENA,FAULTLOCATIONANDFAULTCAUSEMAINTENANCESUGGESTIONCONSISTSOFRECOMMENDATIONSFORMACHINEOPERATIONINWORDSORGRAPHSTOOLBUTTONSINCLUDESINITIALDIAGNOSISBUTTON,RADARVIEWBUTTON,STOPDIAGNOSISBUTTONANDEXITBUTTONINITIALDIAGNOSISBUTTONANDSTOPDIAGNOSISBUTTONDESIGNEDBYTHEWAYOFINTERLOCKTHERADARVIEWBUTTONLEADSTOTHERADARVIEWOFFAILUREPROBABILITYOFTHEDIAGNOSISSYSTEMINTHEPROCESSOFCONDITIONMONITORINGANDFAULTDIAGNOSIS,THEPROBABILITIESOFFAILURESANDTHEPROBABILITYTHATEACHFAULTAFFECTSOVERALLFAULTSISSHOWNINTHERADARVIEWINTFIGURE13INTHEPROCESSOFDIAGNOSIS,ALLTHEPROBABILITIESOFEACHFAILUREARESAVEDTOTHERADARDATATABLEWHENRADARISMONITORING,THERADARDATATABLEISDISPLAYEDANDREFRESHEDTOTHEDATAVARIATIONS,WHICHISSYNCHRONIZEDTOTHEDIAGNOSISRESULT4CONCLUSIONSTHISPAPERPRESENTSOURDESIGNANDIMPLEMENTATIONOFTHEFAULTDIAGNOSISMODELO
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