摘要
设计了一套基于电气自动化的变压器故障诊断与检修系统,通过传感器网络和大数据分析等技术实现对变压器实时状态监测和故障自动预警。仿真实验显示,系统识别故障的准确率较高,并能够在短时间内完成定位。该系统有效提升了故障处理效率,为保障电网稳定运行提供了强有力的技术支撑。
The article designs a transformer fault diagnosis and maintenance system based on electrical automation,which achieves real-time status monitoring and automatic fault warning of transformers through technologies such as sensor networks and big data analysis.Simulation experiments show that the system has a high accuracy in identifying faults and can complete localization in a short period of time.This system effectively improves the efficiency of fault handling and provides strong technical support for ensuring the stable operation of the power grid.
作者
宗克柱
ZONG Kezhu(Shandong Electrical Engineering and Electrical Group Intelligent Electrical Co.,Ltd.,Jinan 250001,China)
出处
《通信电源技术》
2024年第6期222-224,共3页
Telecom Power Technology
关键词
变压器监测
故障诊断
自动化检修
数据分析
transformer monitoring
fault diagnosis
automated maintenance
data analysis
