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基于状态转移自适应随机共振的微弱故障诊断（英文）.docx

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基于状态转移自适应随机共振的微弱故障诊断（英文） Title:WeakFaultDiagnosisbasedonStateTransitionAdaptiveStochasticResonance Abstract: Inrecentyears,faultdiagnosistechniqueshavegainedsignificantattentionduetotheirpotentialinimprovingthereliabilityandperformanceofvarioussystems.Weakfaultdiagnosis,specifically,referstothedetectionandidentificationofsubtleorintermittentfaultsthataredifficulttodetectusingtraditionalmethods.ThispaperproposesanovelapproachcalledStateTransitionAdaptiveStochasticResonance(STASR)forweakfaultdiagnosis.TheSTASRtechniquecombinestheadvantagesofbothstatetransitionanalysisandadaptivestochasticresonance,enablingaccuratediagnosisofmicro-faultsincomplexsystems. 1.Introduction(150words) Faultdiagnosisplaysapivotalroleintheeffectivefunctioningandmaintenanceofvarioussystems,suchaspowergrids,manufacturingplants,andhealthcaredevices.However,traditionalfaultdiagnosistechniquesoftenstruggletodetectandidentifyweakorintermittentfaults,whichcansignificantlyimpactsystemperformanceandreliability.Toaddressthisissue,thispaperproposestheuseofStateTransitionAdaptiveStochasticResonance(STASR)forweakfaultdiagnosis.TheSTASRtechniqueutilizestheconceptofstatetransitionanalysistocapturesystembehaviorandcombinesitwithadaptivestochasticresonancetoenhancethedetectabilityofweakfaults. 2.WeakFaultDiagnosisChallenges(200words) Weakfaultdiagnosisposesseveralchallengesduetothesubtleandintermittentnatureofthefaults.Thesefaultsoftenexhibitlowsignal-to-noiseratioandcanbeeasilymaskedbyothersystemdynamics.Traditionalfaultdiagnosismethodsbasedonsignalprocessing,statisticalanalysis,orartificialintelligencetechniquesoftenfailtoidentifytheseweakfaultsaccurately.Moreover,thedynamicbehaviorofthesystemaddsanotherlayerofcomplexitytothediagnosisprocess.Hence,thereisaneedforinnovativetechniquesthatcaneffectivelyaddressthesechallengesandimproveweakfaultdiagnosiscapabilities. 3.StateTransitionAnalysis(250words) Statetransitionanalysisisaneffectivemethodforcapturingthedynamicbehaviorofcomplexsystems.Itinvolvesobservingthet