首页|基于自适应抗差滤波的电力光纤通信网络异常节点定位方法研究

基于自适应抗差滤波的电力光纤通信网络异常节点定位方法研究

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为解决电力光纤通信网络异常节点定位精度低的问题,提出基于自适应抗差滤波的电力光纤通信网络异常节点定位方法.首先,通过时间冗余算法预处理电力光纤通信网络节点数据,提取节点间的动态相似性和数据链路效率.其次,采用抗差滤波检测异常节点,实时评估残差与预测误差的不匹配程度.最后,结合自适应滤波与变化点检测,实现对电力光纤通信网络异常节点的精确定位.实验结果表明,研究方法能够显著提升电力光纤通信网络异常节点的定位精度,保障网络稳定运行.
Study on the Anomalous Node Location Method of Power Optical Fiber Communication Network Based on Adaptive Difference Resistance Filter
In order to solve the problem of low accuracy of abnormal node location in power optical fiber communication network,a method of abnormal node location in power optical fiber communication network based on adaptive robust filtering is proposed.Firstly,temporal redundancy algorithm is used to preprocess the node data of power optical fiber communication network,and the dynamic similarity and data link efficiency between nodes are extracted.Secondly,robust filtering is used to detect abnormal nodes and evaluate the mismatch between residual and prediction error in real time.Finally,combining adaptive filtering and change point detection,the accurate location of abnormal nodes in power optical fiber communication network is realized.The experimental results show that the research method can significantly improve the positioning accuracy of abnormal nodes in power optical fiber communication network and ensure the stable operation of the network.

adaptive filteringdifferential resistance filteringpower optical fiber communication networkabnormal node detectionnode positioning

王茜

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中铁上海设计院集团有限公司,上海 200070

自适应滤波 抗差滤波 电力光纤通信网络 异常节点检测 节点定位

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(24)