一种基于人工神经元网络算法的谐波多路同步快速检测装置
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  • 英文篇名:Harmonic multi-channel synchronous rapid detection device based on artificial neural network algorithm
  • 作者:陈有根 ; 李晓光 ; 郭海涛 ; 李志勇
  • 英文作者:CHEN Yougen;LI Xiaoguang;GUO Haitao;LI Zhiyong;School of Information Science and Engineering,Central South University;Power Supply Department of High-speed Trains,Guangzhou Railway (Group) Corporation;
  • 关键词:牵引供电系统 ; 谐波 ; 人工神经元网络 ; 多路同步快速检测
  • 英文关键词:traction power supply system;;harmonic current;;artificial neural network;;multi-channel synchronous rapid detection
  • 中文刊名:CSTD
  • 英文刊名:Journal of Railway Science and Engineering
  • 机构:中南大学信息科学与工程学院;广州铁路(集团)公司供电处高铁科;
  • 出版日期:2019-02-15
  • 出版单位:铁道科学与工程学报
  • 年:2019
  • 期:v.16;No.107
  • 基金:湖南省自然科学基金资助项目(2015JJ2171)
  • 语种:中文;
  • 页:CSTD201902029
  • 页数:8
  • CN:02
  • ISSN:43-1423/U
  • 分类号:231-238
摘要
通过对高铁牵引供电系统中谐波传输特性进行分析,设计以人工神经元网络算法为核心的快速谐波检测算法,实现牵引供电系统多路谐波数据同步检测。试制装置现场测试表明,该装置可实现牵引供电系统多路馈线50次以内谐波的同步快速检测,并具有较高的精度及良好的实时性。
        By analyzing the characteristics of harmonic transmission in traction power supply system of high-speed railway,a harmonic detection algorithm based on artificial neural network was designed,which realized the synchronous rapid detection of multi-channel harmonic current in traction power supply system.The test device realized multi-channel harmonic synchronous rapid detection within 50 times of the traction power supply system,and had high accuracy and good real-time performance.
引文
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