摘要
提出一种基于PLC的继电保护自动化装置故障检修系统,旨在提高电力系统故障检修效率。系统采用PLC模块化设计,实现对继电保护装置的实时监控和故障诊断。通过模糊逻辑和贝叶斯网络分析故障原因,并结合多传感器数据融合算法预测设备状态,系统展现出较高的故障检测准确率和响应速度。实验结果表明,该系统能够快速、准确地诊断故障,具备良好的应用前景,为提升电力系统的安全性提供有力支持。
This paper proposes a fault maintenance system for relay protection automation devices based on PLC,aiming to improve the efficiency of power system fault maintenance.The system adopts PLC modular design to achieve real-time monitoring and fault diagnosis of relay protection devices.By analyzing the causes of faults through fuzzy logic and Bayesian networks,and combining multi-sensor data fusion algorithms to predict equipment status,the system demonstrates high fault detection accuracy and response speed.The experimental results show that the system can quickly and accurately diagnose faults,has good application prospects,and provides strong support for improving the safety of the power system.
作者
张道磊
刘永英
ZHANG Daolei;LIU Yongying(Beijing Sifang Automation Co.,Ltd.,Beijing 100080,China)
出处
《自动化应用》
2025年第5期6-8,共3页
Automation Application
