基于贝叶斯网络的高压断路器故障检测算法研究  

Research on fault detection algorithm for high voltage circuit breakers based on bayesian network

作　　者：种俊龙 郑俐 庄先涛 ZHONG Junlong;ZHENG Li;ZHUANG Xiantao(State Grid Suining Power Supply Company,Suining 629000,China)

机构地区：[1]国网四川省电力公司遂宁供电公司,四川遂宁629000

出　　处：《中国高新科技》2024年第11期50-52,共3页

摘　　要：本文提出了一种基于贝叶斯网络的高压断路器故障检测算法,旨在提高故障诊断的准确性和效率。通过研究高压断路器的工作原理及常见故障,结合贝叶斯网络理论,开发了新的故障检测模型。研究中,实验结果显示,该算法在高压断路器故障数据上具有高准确率,能有效区分故障类型并准确判断故障原因。研究结果有助于提升电力系统的整体稳定性和安全性。This study proposes a fault detection algorithm for high-voltage circuit breakers based on Bayesian network,aiming to improve the accuracy and efficiency of fault diagnosis.By studying the working principle and common faults of high-voltage circuit breakers,combined with the theory of Bayesian network,a new fault detection model has been developed.The experimental results show that the algorithm exhibits high accuracy in fault data of high-voltage circuit breakers,and can effectively distinguish fault types and accurately determine the cause of faults.The research results contribute to improving the overall stability and safety of the power system.

关 键 词：贝叶斯网络 高压断路器 故障检测 算法 

分 类 号：TM407[电气工程—电器]