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1、JOURNALOFSOFTWARE,VOL.6,NO.2,FEBRUARY2011209TheApplicationofFuzzyNeuralNetworkinFaultSelf-diagnosisSystemofAutomaticTransmissionKongHuifangSchoolofElectricalEngineeringandAutomation,HefeiUniversityofTechnology,Hefei,ChinaEmail:konghuifang@163.comRenGuoqingAnhuiJianghuaiAutomotiveCo.,Ltd.,Hefei,
2、ChinaEmail:rgqjac@163.comHeJizhuSchoolofElectricalEngineeringandAutomation,HefeiUniversityofTechnology,Hefei,ChinaEmail:hejizhu7@126.comXiaoBenxianSchoolofElectricalEngineeringandAutomation,HefeiUniversityofTechnology,Hefei,ChinaEmail:xiaobenxian@126.comorder,theautomobileperformancewilldecrea
3、seAbstract—Accordingtothedesignprocedureoffaultself-diagnosissystemandfeaturesofautomatictransmissionapparently.Evenaccidentmaytakeplace.Therefore,thesystem,thelistofrelationandmappingbetweenfaultstudyoffaultself-diagnosisofautomatictransmissionsymptomsandfaultcausesaremadeinthispaper.systemhas
4、importantsignificance.Usingthissystem,Applyingtheapproachoffaultself-diagnosisbasedonfaultscanbediscoveredintime.Faulthandlingcanbefuzzyneuralnetwork,faultdiagnosisoftheautomaticdonesimultaneously.Undersomecertainconditions,transmissionelectroniccontrolsystemisrealized.Thevehiclecanstillwork.Th
5、ereforethepersonnel,structureoffuzzyneuralnetworkanditscorrespondingequipmentsandenvironmentwillbeprotectedfromlearningmethodandpretreatingstrategyaboutthetrainingsamplesareintroducedinthispaper.Usingdamage.Furthermore,thissystemcanprovideabasisMATLABassimulationplatform,thisfaultdiagnosisforma
6、intainingtoavoiddismountingblindly.methodissimulatedwithneuralnetworkstoolbox.TheMaintenanceefficiencywillbeimproved.simulationresultsshowthatthisfaultdiagnosisapproachisAccordingtothecharacteristicsofautomaticeffectiveandapplied.transmission,thefaultself-diagnosistechniquewascombinedwithfuzzyc
7、ontrolandneuralnetworkIndexTerm—fuzzylogic,neuralnetworktechnique,technology.Tryingtofindfuzzyrelationsoffaultautomatictransmission(AT),faultdiagnosissymptomsandfaultcausesinsystemworkprogress,fuzzyfaultknowledgebasewasestablished