An Efficient Algorithm for Server Thermal Fault Diagnosis Based on Infrared Image服务器诊断算法

An Efficient Algorithm for Server Thermal Fault Diagnosis Based on Infrared Image服务器诊断算法

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时间:2019-06-24

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1、JournalofPhysics:ConferenceSeriesPAPER•OPENACCESSRelatedcontent-ResearchonrollingelementbearingfaultAnEfficientAlgorithmforServerThermalFaultdiagnosisbasedongeneticalgorithmmatchingpursuitDiagnosisBasedonInfraredImageRWRongandTFMing-TheApplicationofRadia

2、lBasisFunction(RBF)NeuralNetworkforMechanicalTocitethisarticle:HangLiuetal2017J.Phys.:Conf.Ser.910012031FaultDiagnosisofGearboxPengboWang-FaultDiagnosisofRotatingRectifierBasedonHarmonicFeaturesSUNShuo,WUYan-feng,CAIWeietal.Viewthearticleonlineforupdates

3、andenhancements.Recentcitations-PredictiveMaintenanceofPowerSubstationEquipmentbyInfraredThermographyUsingaMachine-LearningApproachIrfanUllahetalThiscontentwasdownloadedfromIPaddress112.5.248.252on09/06/2018at15:03CTCE2017IOPPublishingIOPConf.Series:Jour

4、nalofPhysics:Conf.Series1234567890910(2017)012031doi:10.1088/1742-6596/910/1/012031AnEfficientAlgorithmforServerThermalFaultDiagnosisBasedonInfraredImage1,a1,b1,c2,dHangLiu,TingXie,JianRanandShanGao1SchoolofElectronicScienceandTechnology,DalianUniversity

5、ofTechnology,Dalian,China2NetworkandInformationCenter,DalianUniversityofTechnology,Dalian,ChinaabEmail:liuhang@dlut.edu.cn,tingxie9116@mail.dlut.edu.cn,cdran554300274@mail.dlut.edu.cn,gshan@dlut.edu.cnAbstract.Itisessentialforadatacentertomaintainservers

6、ecurityandstability.Long-timeoverloadoperationorhighroomtemperaturemaycauseservicedisruptionevenaservercrash,whichwouldresultingreateconomiclossforbusiness.Currently,themethodstoavoidserveroutagesaremonitoringandforecasting.Thermalcameracanprovidefinetex

7、tureinformationformonitoringandintelligentthermalmanagementinlargedatacenter.Thispaperpresentsanefficientmethodforserverthermalfaultmonitoringanddiagnosisbasedoninfraredimage.Initiallythermaldistributionofserverisstandardizedandtheinterestregionsoftheima

8、gearesegmentedmanually.Thenthetexturefeature,Humomentsfeatureaswellasmodifiedentropyfeatureareextractedfromthesegmentedregions.Thesecharacteristicsareappliedtoanalyzeandclassifythermalfaults,andthenmakeefficientenergy-savi

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