Hard-point detection of catenary based on Hidden Markov Model

Author:

Tian Shuxia1,Zhang Penghui1,Huang Liping1,Song Xueqian1,Chen Zhenmao2,Liu Jianxiu1,He Wenbin1,Cao Yang1

Affiliation:

1. , Zhengzhou University of Light Industry, , China

2. , Xi’an Jiaotong University, , China

Abstract

Hard-point detection is an important content of catenary detection. In this paper, the pantograph-catenary coupling model was established firstly. Then the vertical acceleration of pantograph during operation was calculated by using three-dimensional modeling software and finite element analysis software. The acceleration signal mixed with white noise was filtered by global default threshold, and the hard-point detection feature signal was obtained. Finally, the Hidden Markov Model corresponding to each state of the hard-point was obtained by using the characteristic signal, which verified the feasibility of the Hidden Markov Model for hard-point detection.

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference19 articles.

1. Arc detection in pantograph-catenary systems by the use of support vector machines-based classification;Romano;IET Electrical Systems in Transportation,2013

2. Research on photoelectric vibration comprehensive detection of pantograph-catenary hard point;Tang;China Science Paper,2015

3. Pantograph-catenary arc test apparatus for high-speed railway;Wu;Instrumentation,2014

4. Study on comprehensive evaluation standard for dynamic inspection of catenary;Liu;Railway Locomotive & Car,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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