摘要
为提高电力线局域网通信的可靠性与稳定性,引进离散贝叶斯网络,以某电力线局域网为例,开展通信节点故障定位方法的设计。设定不同节点在通信过程中的参数具体取值,掌握是否有节点在通信中存在异常,根据用户的通信需求,进行电力线局域网通信分割粒度、不同节点在通信过程中风险指数、网节点与故障形式匹配度的计算,实现节点故障特征参数的提取;引进离散贝叶斯网络,提取节点的随机变量集合,建立针对节点故障离散数据的故障诊断模型,计算节点可能出现故障的概率;保留概率值较高的节点,将其与离散贝叶斯网络中的离散节点进行匹配,完成匹配后按照故障概率值的大小输出节点,实现电力线局域网(Local Area Network,LAN)通信节点故障辨识与自动定位。实验结果证明:该方法不仅可以实现对电力线局域网通信节点故障的定位,还可以缩短定位时长,实现对电力线局域网通信过程中节点故障的快速感知。
In order to improve the reliability and stability of power line local area network communication,discrete Bayesian network is introduced,and a power line local area network is taken as an example to design the fault location method of communication nodes.Setting specific values of parameters of different nodes in the communication process,knowing whether there is any abnormality in the communication,and calculating the granularity of power line local area network communication,the risk index of different nodes in the communication process,and the matching degree between network nodes and fault forms according to the communication needs of users,thus realizing the extraction of node fault characteristic parameters.The discrete Bayesian network is introduced to extract the set of random variables of nodes,establish a fault diagnosis model for discrete data of node faults,and calculate the probability that nodes may fail.The nodes with higher probability value are reserved and matched with the discrete nodes in the discrete Bayesian network.After matching,the nodes are output according to the size of the fault probability value,so as to realize the fault identification and automatic location of the power line Local Area Network(LAN)communication nodes.The comparative experimental results show that this method can not only locate the node faults in power line local area network communication,but also shorten the positioning time and realize the rapid perception of node faults in power line local area network communication.
作者
朱莹
穆巍
ZHU Ying;MU Wei(State Grid Ningxia Yinchuan Power Supply Company,Yinchuan 750001,China;Ningxia Hui Autonomous Region Electric Power Design Institute Co.,Ltd.,Yinchuan 750001,China)
出处
《通信电源技术》
2023年第10期226-228,共3页
Telecom Power Technology
关键词
离散贝叶斯
故障特征参数
故障定位
通信节点
局域网
电力线
discrete Bayes
fault characteristic parameters
fault location
communication node
local area network
power line
