矿井变电站设备温变异常诊断技术研究  

Research on Temperature Abnormal Diagnosis Technology for Mine Substation Equipment

作　　者：赵子冠 ZHAO Ziguan(Luning Coal Company,Lu'an Group,Xinzhou,Shanxi 036706,China)

机构地区：[1]潞安集团潞宁煤业公司,山西忻州036706

出　　处：《自动化应用》2025年第7期204-206,共3页Automation Application

摘　　要：为进一步提升煤矿变电站设备异常诊断水平,基于煤矿变电站出现潜伏性故障时伴随的温变现象,提出一种整合BP神经网络与D-S证据理论的矿井变电站温变异常诊断技术方案。实验结果显示,该方案能较精准地诊断电气设备的故障状态,在变电站运维管理工作中具有潜在应用价值。In order to further improve the level of abnormal diagnosis of coal mine substation equipment,based on the temperature change phenomenon accompanying latent faults in coal mine substations,a temperature change abnormal diagnosis technology scheme for mine substations integrating BP neural network and D-S evidence theory is proposed.The experimental results show that this scheme can accurately diagnose the fault status of electrical equipment and has potential application value in substation operation and maintenance management.

关 键 词：煤矿矿井 变电站 温变 异常诊断 诊断技术 

分 类 号：TM63[电气工程—电力系统及自动化]