Fault Diagnosis Method of Road Traffic Communication Network Based on SVM

Author:

Mi Jia

Abstract

Abstract The development of road traffic communication technology makes communication means more diverse. With the increase of the complexity of urban road traffic communication network, the fault diagnosis of road traffic communication network has been paid more and more attention. The alarm data in the communication network is the manifestation of network failure. Network operation and maintenance personnel can understand the current network operation status according to the alarm information displayed in the system, and then analyze, locate and handle the fault. Therefore, the identification of alarm information is very important for the timely treatment of network failure. In this paper, based on the existing communication network theory and network equipment alarm information, this paper proposes a method using SVM, which can effectively solve the fault identification of network communication input anomaly.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference8 articles.

1. Priority Control in Communication Networks for Accuracy-Freshness Tradeoff in Realtime Road-Traffic Information Delivery[J];Kato,2017

2. A V2V-based Method for The Detection of Road Traffic Congestion[J];Wang,2019

3. A fault-identification and alarm-correlation method based on improved GA-NN model in communication networks [J];Xinmiao;Journal of Electronics,2000

4. Network fault detection based on semi-supervised automatic spectral clustering algorithm[J];Daqing;Computer Engineering and Applications,2012

5. Fault Detection for Tree Structured Energy Networks[J];Wen;Journal of Systems Science and Mathematical Sciences,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3