摘要
传统的故障信号诊断系统存在故障识别精度低的问题,提出将光纤通信网络中衰减形变故障信号的诊断系统。利用小波包分解,实现光纤通信网络中频带局部故障能量信号的特征识别,来提高故障信号识别精度,并以此实现对通信网络中的故障信号,为光缆线路的故障,还是光端设备故障的初步判断;设计最优的数字滤波器最小二乘数字信号滤波器,对光纤通信网络信号进行滤波,以实现噪声点的减少和信号毛刺的去除,增强去噪效果;实验表明,本文方法提高了光纤网络中衰减形变故障信号识别精度和诊断准确性,且信号增强效果良好。
The traditional fault signal diagnosis system has the problem of low accuracy of fault identification. A fault diagnosis system for attenuating deformation fault in optical fiber communication network is proposed. Using wavelet packet decomposition, torealize feature recognition bandwidth in optical communications network local fault signal energy and improve the accuracy of fault signal identification, and then realize the preliminary judgment of fault signals in a communication network, optical cable fault and optical equipment failure. Desigh the optimal least squares digital filter, to filter optical fiber communication network signal, in order to achieve noise reduction and signal burr removal, and denoising effect is enhanced, Experiments show that this method improves the accuracy of deformation fault signal identification and diagnostic accuracy of attenuation of optical fiber network, and signal enhancement effect is good.
作者
樊强
马贺男
FAN Qiang, MA Henan(China Criminal Police University, Shenyang 110854, Chin)
出处
《激光杂志》
北大核心
2018年第5期111-115,共5页
Laser Journal
基金
2016年辽宁省教育科学规划项目(No.JG16DB471)
辽宁省教育科学规划项目(No.JG17DB550)
关键词
光纤通信网络
衰减形变
故障信号
诊断
系统设计
optical fiber communication network
attenuation deformation
fault signal
diagnosis
system design