基于模糊神经网络的汽轮发电机组振动在线监测诊断研究

基于模糊神经网络的汽轮发电机组振动在线监测诊断研究AbstractIn recent years, the online monitoring and diagnosis of steam turbi

基于模糊神经网络的汽轮发电机组振动在线监测诊断 研究 Abstract Inrecentyears,theonlinemonitoringanddiagnosisofsteam turbinegeneratorsisbecomingincreasinglyimportantfor ensuringthesafeandefficientoperationofpowerplants.To addressthisissue,thispaperproposesafuzzyneural network-basedonlinemonitoringanddiagnosissystemforsteam turbinegeneratorvibrations.Thesystemconsistsofadata acquisitionmodule,featureextractionmodule,fuzzyneural networkmodule,anddiagnosismodule.Theexperimentalresults demonstratethattheproposedsystemcaneffectivelydiagnose thefaultsinthesteamturbinegeneratorandachieveaccurate onlinemonitoring. Introduction Thesteamturbinegeneratorsetisakeycomponentinpower plants,anditssafeandstableoperationiscriticalforensuringthe stableoperationoftheentireplant.However,duetothehigh rotationalspeedandcomplexmechanicalstructure,thesteam turbinegeneratorispronetovariousfaultsandfailures,which mayleadtoseriousaccidentsandeconomiclosses. Toavoidsuchrisks,itisimportanttodevelopaneffective onlinemonitoringanddiagnosissystemforsteamturbine generatorvibrations.Traditionalmonitoringmethods,suchas handheldvibrationmetersandperiodicinspections,aregenerally time-consumingandlabor-intensive.Inrecentyears,withthe developmentofsensortechnology,onlinemonitoringsystems havebecomemorecommon. Thispaperproposesafuzzyneuralnetwork-basedonline monitoringanddiagnosissystemforsteamturbinegenerator vibrations.Thesystemcanprovidereal-timeandaccurate monitoringinformationtooperators,enablingthemtotaketimely andeffectivemeasurestopreventaccidentsandreduceeconomic losses. SystemDesign