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作 者:梁英坚 张志青[2] LINANG Yingjian;ZHANG Zhiqing(Guangdong Nanfang Institute of Technology,Jiangmen Guangdong 529000,China;Guangzhou University,Guangzhou 510000,China)
机构地区:[1]广东南方职业学院,广东江门529000 [2]广州大学,广州510000
出 处:《激光杂志》2019年第12期175-179,共5页Laser Journal
基 金:广东省自然科学基金重点项目(No.2016A030311013)
摘 要:针对非线性时间序列定位算法存在定位精准度差的问题,提出光学通信网络系统故障定位算法设计。结合光学网络结构示意图,分析故障数据时域。依据数据耦合性和相关数据故障特征,建立一组相对稳定光学通信网络故障数据信号分析模型,并标定光学通信数据标量时间序列,获取数据挖掘最大梯度差。根据通信故障数据关联指向性特征,计算各个路径达到接收机的载频分量,获取光学通信故障数据时域分布特征,确定网络拓扑结构,收集设备预警信息并将其关联,依据划分阶段和选择阶段实现故障定位。通过实验对比结果可知,该算法最高定位精准度在97%以上,为光学通信网络故障诊断提供支持。Aiming at the problem that the nonlinear time series positioning algorithm has poor positioning accuracy,the fault localization algorithm design of optical communication network system is proposed.The optical network structure diagram is combined to analyze the time domain of the fault data.According to the data coupling and related data fault characteristics,a set of relatively stable optical communication network fault data signal analysis model is established,and the optical communication is calibrated,the data scalar time series is scalared to obtain the maximum gradient of data mining.According to the directional features of communication fault data,the carrier frequency component of the receiver from each path is calculated to obtain the time domain distribution characteristics of optical communication fault data,to determine the network topology structure,to collect the device early warning information and to associate it.Realize fault location according to the division phase and the selection phase.The experimental comparison results show that the algorithm has the highest positioning accuracy of over 97%,which provides support for optical communication network fault diagnosis.
分 类 号:TN914[电子电信—通信与信息系统]
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