基于BP神经网络的光纤通信故障信号智能诊断方法  

Intelligent Diagnosis Method of Optical Fiber Communication Fault Signal Based on BP Neural Network

作　　者：李英华 杨利红 LI Yinghua;YANG Lihong(Zhengzhou Technology and Business University,Zhengzhou 451400,China)

机构地区：[1]郑州工商学院,河南郑州451400

出　　处：《现代信息科技》2022年第19期75-77,共3页Modern Information Technology

摘　　要：为实现对光纤通信链路中故障信号的精准定位,文章设计一种基于BP神经网络的光纤通信故障信号智能诊断方法。采集光纤通信链路异常信号;引进BP神经网络,对信号进行录入,经小波分解后进行初步的故障诊断并做出故障排除决策;引进OTDR光电一体化仪表,将光纤通信链路中的脉冲序列波添加到测试网络中,实现对故障信号的智能诊断。实验结果表明,该文设计方法可以精准定位故障信号在通信链路中的位置。In order to realize the accurate positioning of fault signals in optical fiber communication link,this paper designs an intelligent diagnosis method of fault signals in optical fiber communication based on BP neural network.Collect abnormal signals of optical fiber communication link;BP neural network is introduced to input the signal,conduct preliminary fault diagnosis and make troubleshooting decisions after wavelet decomposition;the OTDR photoelectric integrated instrument is introduced to add the pulse sequence wave in the optical fiber communication link to the test network to realize the intelligent diagnosis of the fault signal.The experimental results show that the design method can accurately locate the position of the fault signal in the communication link.

关 键 词：BP神经网络 OTDR 诊断方法 故障信号 光纤通信 

分 类 号：TN929.11[电子电信—通信与信息系统]