首页|基于贝叶斯网络的高压断路器故障检测算法研究

基于贝叶斯网络的高压断路器故障检测算法研究

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

Bayesian networkhigh voltage circuit breakerfault detectionalgorithm

种俊龙、郑俐、庄先涛

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国网四川省电力公司遂宁供电公司,四川 遂宁 629000

贝叶斯网络 高压断路器 故障检测 算法

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(11)