低压集抄系统故障定位方法及应用研究  

Study on Fault Location Method and Application of Low Voltage Collector Copy System

作　　者：刘鸣 LIU Ming(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,China)

机构地区：[1]深圳供电局有限公司,广东深圳518000

出　　处：《通信电源技术》2021年第20期171-173,共3页Telecom Power Technology

摘　　要：基于低压集抄系统的复杂性特征,提出了基于深度学习和拓扑解析的低压集抄系统故障诊断方法。从运行和规划两个阶段着手,分析集中器与电能表、集中器与变压器的关联关系,深度解析低压集抄系统拓扑结构特征,最终结合深度学习理论、信息流动路径以及物理拓扑构建深度置信网络的故障诊断模型。Based on the complexity characteristics of low voltage collector system,a fault diagnosis method of low voltage collector system based on deep learning and topology analysis is proposed in this paper.From the two stages of operation and planning,the relationship between concentrator and watt-hour meter and concentrator and transformer is analyzed,and the topological structure characteristics of low voltage collector system are deeply analyzed.Finally,combined with deep learning theory,information flow path and physical topology,the fault diagnosis model of deep confidence network is constructed.

关 键 词：低压集抄系统 故障定位 深度学习 

分 类 号：TM7[电气工程—电力系统及自动化]