资源预览需要最新版本的Flash Player支持。
您尚未安装或版本过低,建议您
APPLICATIONOFMULTISENSORINFORMATIONFUSIONTECHNOLOGYONFAULTDIAGNOSISOFHYDRAULICSYSTEMLQZHANG1,2,GLYANG1,2,LGZHANG3ANDSYZHANG41SCHOOLOFENERGYANDPOWERENGINEERING,LANZHOUUNIVERSITYOFTECHNOLOGY,QILIHEDISTRICT,LANZHOU,730050,CHINA2WENZHOUACADEMYOFPUMPANDVALVEENGINEERING,LANZHOUUNIVERSITYOFTECHNOLOGY,MADAOWESTROAD,OUBEI,YONGJIA,WENZHOU,325105,CHINA3HANDANSPECIALSINKINGLIMITEDCOMPANYOFCHINACOAL,CHINACOALFIFTHCONSTRUCTIONCOMPANY,FUXINGDISTRICT,HANDAN,056003,CHINA4CHINESEACADEMYOFAGRICULTURALMECHANIZATIONSCIENCES,CHAOYANGDISTRICT,BEIJING,100083,CHINAEMAILIZLQ163COMABSTRACTTHESTRUCTURALLAYERSANDMETHODSOFMULTISENSORINFORMATIONFUSIONTECHNOLOGYAREANALYSED,ANDITSAPPLICATIONINFAULTDIAGNOSISOFHYDRAULICSYSTEMISDISCUSSEDAIMINGATHYDRAULICSYSTEM,AMODELOFHYDRAULICFAULTDIAGNOSISSYSTEMBASEDONMULTISENSORINFORMATIONFUSIONTECHNOLOGYISPRESENTEDCHOOSINGANDIMPLEMENTINGTHEMETHODOFINFORMATIONFUSIONREASONABLY,THEMODELCANFUSEANDCALCULATEVARIOUSFAULTCHARACTERISTICPARAMETERSINHYDRAULICSYSTEMEFFECTIVELYANDPROVIDEMOREVALUABLERESULTFORFAULTDIAGNOSISOFHYDRAULICSYSTEM1INTRODUCTIONHYDRAULICSYSTEMPLAYSANIMPORTANTROLEINENGINEERINGINDUSTRYTOENSURETHATHYDRAULICSYSTEMISWORKINGSAFELY,RELIABLYANDWITHOUTANYPOTENTIALACCIDENT,ITSFAULTDIAGNOSISISVERYIMPORTANTBUTENGINEERINGPRACTICESHOWSTHATFAULTDIAGNOSISBASEDONONEPARAMETERCANNOTMAKESUREWHETHERTHESYSTEMISOUTOFORDERORNOTALLTHETIMEANDBYMULTISENSORINFORMATIONFUSIONTECHNOLOGY,DIFFERENTPARAMETERSABOUTTHEOPERATINGCONDITIONSOFTHEHYDRAULICSYSTEMFROMDIFFERENTANGLESCANBEOBTAINEDINTEGRATINGANDFUSINGALLOFTHEPARAMETERSEFFECTIVELY,THEFAULTDIAGNOSISOFHYDRAULICSYSTEMISSUCCESSFULLYCARRIEDOUTANDTHEFAULTOFHYDRAULICSYSTEMCANBEIDENTIFIEDANDLOCATEDMOREACCURATELY1,2INTHISPAPER,THESTRUCTURALLAYERSANDMETHODSOFMULTISENSORINFORMATIONFUSIONTECHNOLOGYAREANALYZED,ANDTHENITSAPPLICATIONINFAULTDIAGNOSISOFHYDRAULICSYSTEMISDISCUSSED2TECHNOLOGYOFMULTISENSORINFORMATIONFUSIONMULTISENSORINFORMATIONFUSIONISAMULTILAYER,ALLROUNDPROCESSINGPROCEDUREITCANDETECT,FUSE,CORRELATE,ESTIMATEANDCOMBINEALLOFTHEPARAMETERSMEASUREDINHYDRAULICSYSTEMTOACHIEVETHESTATEESTIMATION,INCLUDINGSITUATIONESTIMATIONANDRISKESTIMATIONOFTHESYSTEMACCURATELY1,2TOFAULTDIAGNOSISSYSTEMOFHYDRAULICSYSTEM,MULTISENSORINFORMATIONFUSIONCONSISTSOFDATAFUSIONANDKNOWLEDGEFUSION,INADDITIONDATATOKNOWLEDGEFUSION,THATISDATAMINING,ISALSOINCLUDED21LAYERSOFMULTISENSORINFORMATIONFUSIONASSHOWNINFIGURE1,INFORMATIONFUSIONCANBEPARTEDINTO3LAYERS3FIGURE1SCHEMATICDIAGRAMOFLAYERMODELOFINFORMATIONFUSIONINFORMATIONFUSIONOFDETECTINGLAYERANDFAULTDIAGNOSISINFORMATIONFUSIONOFDETECTINGLAYERISTOFUSEORIGINALINFORMATIONMEASUREDBYTHESAMEKINDSENSORSBEFORETHEIRPRETREATMENTBYTHIS,INFIRSTTIME,THEOPERATINGCONDITIONSOFTHESYSTEMCANBEMONITOREDINTUITIVELYANDPERCEPTUALLYATTHESAMETIMEALLOFTHEINFORMATIONISINPUTTEDINTODATABASETOCARRYDATAMININGOUTINFORMATIONFUSIONOFFEATURELAYERANDFAULTDIAGNOSISINFORMATIONFUSIONOFFEATURELAYERISTOFUSEORIGINALINFORMATIONMEASUREDBYALLKINDSSENSORSANDRELATEDTHEORETICALKNOWLEDGEBYTHISTHEFAULTOFHYDRAULICSYSTEMCANBEIDENTIFIEDANDLOCATED,BUTITISALLTHESPECIFICMETHODSANDTECHNOLOGYAIMINGATTHEFAULTDIAGNOSISCANNOTBEPRESENTEDHEREINFORMATIONFUSIONOFDECISIONLAYERANDFAULTDIAGNOSISTHISISTHEFUSIONOFTHEHIGHESTLAYERALLINFORMATIONMEASUREDBYDIFFERENTKINDSSENSORSANDRELATEDTHEORETICALKNOWLEDGEAREFUSEDANDTHECOUNTERMEASURES,THATISTHESPECIFICMETHODSANDTECHNOLOGYAIMINGATTHEFAULTDIAGNOSISINCLUDINGFAULTISOLATION,REDUNDANCYCONTROLLINGANDSOONAREACHIEVEDANDIFTHECOUNTERMEASURESAREPROVEDTOBEWORKABLE,THEEXPERIENCEOFTHISTYPICALCASECANALSOBEINPUTTEDINTOTHEDATABASETOUSESOMETIME22METHODSOFMULTISENSORINFORMATIONFUSIONTHEREAREMANYMETHODSOFMULTISENSORINFORMATIONFUSION,SUCHASBASEDONBAYESTHEORY,DEMPERSHAFERDSTHEORY,NEURALNETWORKTECHNOLOGYANDSOMEESTIMATIONTHEORYANDSOON4,5ASAMODIFIEDTHEORYOFBAYESTHEORY,DSTHEORY,ALSOCALLEDEVIDENCETHEORY,HASAWIDERAPPLICATIONINMULTISENSORINFORMATIONFUSIONTECHNOLOGYTHISMETHODAVOIDSTHESIMPLEASSUMPTIONTOANUNBEKNOWNPROBABILITYANDSHOWSTHEDETERMINACYANDINDETERMINACYOFINFORMATIONTHEBASICMETHODOFDSTHEORYISDIVIDINGTHEEVIDENCESETINTOMUTUALLYINDEPENDENTPARTSEACHEVIDENCEPARTHASAPROBABILITYDISTRIBUTIONFUNCTIONTOTHERELATEDTHEORETICALDIAGNOSIS,ALSOCALLEDBELIEFFUNCTIONBASEDONTHEFUSIONOFDIFFERENTEVIDENCEANDTHERELATEDTHEORETICALDIAGNOSIS,THATISTOINTEGRATEALLOFTHEBELIEFFUNCTIONS,THETOTALBELIEFDEGREEOFINTEGRATEDEVIDENCEBASEDONTHERELATEDTHEORETICALKNOWLEDGECANBEOBTAINED6,7FIGURE2SHOWSTHECOURSEOFREASONINGOFDSTHEORYFIGURE2SCHEMATICDIAGRAMOFTHECOURSEOFREASONINGOFDSTHEORY3APPLICATIONOFMULTISENSORINFORMATIONFUSIONTECHNOLOGYONFAULTDIAGNOSISOFHYDRAULICSYSTEM31STRUCTUREANDPRINCIPLEOFTHEFAULTDIAGNOSISSYSTEMTHECOMMONFAILUREMODESOFHYDRAULICSYSTEMCONSISTOFOILLEAKAGE,ABRASION,CORROSION,FATIGUE,CAVITATIONS,HYDRAULICPRESSURESEIZURE,ANDIMPACTBREAKANDSOONTHUSTOAHYDRAULICSYSTEMTHEMONITORINGPARAMETERSINCLUDEHYDRAULICPRESSURE,FLOWQUANTITY,TEMPERATURE,OILLEAKAGEANDSOONTHEFAULTDIAGNOSISSYSTEMOFHYDRAULICSYSTEMBASEDONMULTISENSORINFORMATIONFUSIONTECHNOLOGYINCLUDESTWOFUNCTIONMODULES,DATAACQUISITIONMODULEANDCENTRALPROCESSMODULETHEDATAACQUISITIONMODULEISINSTALLEDATEACHMAJORCOMPONENT,INCLUDINGSENSOR,SIGNALCONDITIONINGCIRCUIT,A/DCONVERTOR,ANDBUSINTERFACEANDSOON,TOACHIEVEEACHSTATUSSIGNALOFTHEHYDRAULICSYSTEMACQUISITIONANDTRANSMISSIONTHECENTRALPROCESSMODULECONSISTSOFCPUANDTHESOFTWARECONSIDERINGTHATTHECOMPLEXITIESOFHYDRAULICSYSTEM,USEIPCASTHECPUOFINFORMATIONFUSIONTOACHIEVETHEDATAANALYSIS,FUSION,FAULTDIAGNOSISANDGIVINGCOUNTERMEASURE79FIGURE3SHOWSTHEBLOCKDIAGRAMOFTHEMODELOFFAULTDIAGNOSISSYSTEMFIGURE4SHOWSTHEFLOWCHARTOFTHEDIAGNOSTICPROGRAM32CHARACTERISTICSOFTHEFAULTDIAGNOSISSYSTEMALLOFTHEOPERATINGPARAMETERS,INCLUDINGHYDRAULICPRESSURE,FLOWQUANTITY,TEMPERATURE,OILLEAKAGEANDSOON,CANBEMONITOREDANYTIMEBASEDONDSTHEORY,BYFUSINGALLOFTHEOPERATINGPARAMETERSMEASUREDBYSENSORSTHESTATERECOGNITION,THETYPICALFAULTDIAGNOSIS,ANDTHESAFETYPROTECTIONCANBEACHIEVEDSUCCESSFULLY33KEYTECHNOLOGYOFTHEFAULTDIAGNOSISSYSTEMINORDERTOMAKEALLTHESIGNALSACCURATE,HOWTOCHOOSEEACHSENSORREASONABLYANDPRETREATALLTHESIGNALSAVAILABLYINORDERTOMAKESURETHATTHEFAULTDIAGNOSISISRIGHT,HOWTOCHOOSEANDIMPLEMENTTHEMETHODOFINFORMATIONFUSIONBECAUSETHEMETHODOFDSTHEORYMAYNOTWORKWELLUNDERCERTAINCONDITION,THEOTHERMETHODS,FOREXAMPLE,NEURALNETWORKTECHNOLOGYMAYBEABETTERCHOICEFIGURE3BLOCKDIAGRAMOFTHEMODELOFFAULTDIAGNOSISSYSTEMFIGURE4FLOWCHARTOFTHEDIAGNOSTICPROGRAM4CONCLUSIONSBASEDONMULTISENSORINFORMATIONFUSIONTECHNOLOGY,THEFAULTDIAGNOSISSYSTEMMAKESFULLUSEOFMULTIPLESIGNALSTHATCANBEMEASUREDFROMHYDRAULICSYSTEMTOREALIZECONDITIONALARMINGANDDIAGNOSISOFTHEHYDRAULICSYSTEMSTHISCANINCREASEWORKEFFICIENCYANDRELIABILITYOFTHEHYDRAULICSYSTEMSTHEMODELOFFAULTDIAGNOSISSYSTEMOFHYDRAULICSYSTEMPRESENTEDINTHISPAPERISAGENERALIZEDMODELINSPECIFICENGINEERINGPRACTICETHEMONITORINGPARAMETERSANDTHEACTUALSTRUCTUREANDIMPLEMENTATIONOFTHEFAULTDIAGNOSISSYSTEMDEPENDONTHECORRESPONDINGHYDRAULICSYSTEMACKNOWLEDGMENTSWEWOULDLIKETOTHANKTHESUPPORTOFSCIENCEANDTECHNOLOGYPROJECTOFWENZHOUCITYH20110007ANDNATURALSCIENCEFUNDOFGANSUPROVINCE1014RJZA023REFERENCES1VARSHNEYPK1997MULTISENSORDATAFUSIONELECTRONICSCOMMUNICATIONENGINEERINGJOURNALDECEMBER245–2532WALTZEANDLLINASJ1991MULTISENSORDATAFUSIONARTECHHOUSE35–423ALANNS2001DATAFUSIONSYSTEMENGINEERINGIEEEAESSSYSTEMSMAGAZINEJUNE7–144HALLDL2000MATHEMATICALTECHNIQUEINMULTISENSORDATAFUSIONARTECHHOUSE15–215HFDURRANTWHYTE2001SENSORMODELSANDMULTISENSORINTEGRATIONTHEINTJOFROBOTICSRESEARCH7687–926MOURADO2004SOMENOTESONFUSIONOFUNCERTAINTYINFORMATIONINTJOFINTELLIGENTSYSTEMS196457–4717RICHARDT2003PRINCIPLESOFEFFECTIVEMULTISENSORDATAFUSIONMILITARYTECHNOLOGY27529–378ZHANGYDANDJIANGXW1999MULTISENSORINFORMATIONFUSIONTECHNIQUEANDITSAPPLICATIONONINTELLIGENTFAULTDIAGNOSISSYSTEMCHINESEJOFTRANSDUCERTECH18218–229ANFY,LUHW,LIUCJ,ETAL2006RESEARCHANDAPPLICATIONOFINFORMATIONFUSIONTECHNOLOGYONMACHINERYFAULTDIAGNOSISCHINESEJOURNALOFCHONGQINGUNIVERSITY29115–18
