基于数据挖掘的光纤通信故障检测方法研究  

Research on Fault Detection Method of Optical Fiber Communication Based on Data Mining

作　　者：周学军[1] 李江 周方圆 ZHOU Xue-jun;LI Jiang;ZHOU Fang-yuan(School of Physics and Electronic Information,Yan'an University,Yan'an 716000,China)

机构地区：[1]延安大学物理与电子信息学院,陕西延安716000

出　　处：《通信电源技术》2020年第10期215-217,共3页Telecom Power Technology

摘　　要：现代社会的发展有赖于光线通信传输的发展,而在实践中光线通信传输故障时有发生.传统的故障检测极易受到信号衰减变形的影响导致突发性差错,影响故障检测结果的准确与稳定效果.所以,介绍针对光纤通信故障检测开发的统一故障模型,基于数据挖掘实现了对光纤通信故障的有效检测,消除了传统数据检测中的突发性差错.仿真结果表明,在变化的误码率下,改进的数据挖掘方法在光纤通信故障检测的准确性和稳定性方面表现优于传统检测方法.The development of modern society depends on the development of optical communication transmission to a certain extent,and in practice,optical communication transmission failure occurs from time to time.Traditional fault detection is easily affected by signal attenuation and deformation,which leads to sudden errors and affects the accuracy and stability of fault detection results.In this paper,a unified fault model for optical fiber communication fault detection is introduced,and the effective detection of optical fiber communication fault is realized based on data mining method,which eliminates the unexpected errors in traditional data detection.The simulation results show that the improved data mining method is better than the traditional method in the accuracy and stability of fault detection of optical fiber communication under the changing bit error rate.

关 键 词：光纤通信 数据挖掘 故障检测 仿真实验 

分 类 号：TN929.11[电子电信—通信与信息系统] TP311.13[电子电信—信息与通信工程]