简介:Capabilitiesofgas-analyticaltransformerdiagnosticstoclearupfailures,CapacitychangeofsolidinsulatorsundertheinfluenceofAChighvoltage,Chargeaccumulationcausedbystreamingelectrificationintransformeroil,Comparisonofdifferentneuralnetworksalgorithmsusedinthediagnosisandthermalageingpredictionoftransformeroil,ConductionofWaterClustersinModifiedAgedOil,DechlorinationofPolychlorinatedBiphenylsinIndustrialTransformerOilbyRadiolyticandPhotolyticMethods。
简介:Aneuralarchitecturetoanalysisofdissolvedgasesininsulatingoilsusedintransformers;ANewDataMiningApproachtoDissolvedGasAnalysisofOil-InsulatedPowerApparatus;Anewlymodifiedforcedoilcoolingsystemanditsimpactonin-servicetransformeroilcharacteristics;Applicationofacombinatorialneuralnetworkmodelbasedonclusteranalysisintransformerfaultdiagnosis;AREWETHERIGHTTRANSFORMERS?;Breakdowncharacteristicsofoilandpaperinsulationforaveryfasttransientvoltage.
简介:摘要:变电设备运行使用时间过长或检修不彻底等都可能引发设备故障问题,为进一步提升变电设备的实际运行效率,通过油色谱对变压主体油进行检测,能够及时的对特征气体数值进行检测,便于排查异常情况,提升设备状态检测的工作质量。气相色谱分 (DGA) 是当前阶段准确率较高、灵敏度较强的一种变压设备检测手段,基于此,本文通过分析实际案例,对色谱分析的方法与设备异常处理对策进行系统的分析。 关键词:特征气体;产气效率;气相监测