Fault model based on H-C model in the system of traction power supply

Y. Huang
{"title":"Fault model based on H-C model in the system of traction power supply","authors":"Y. Huang","doi":"10.1109/CSAE.2011.5952882","DOIUrl":null,"url":null,"abstract":"There exist bigger error of fault model and few examining data in traction power supply system. A novel way to model fault for few data is advanced, its parameter is estimated by maximum likelihood criterion and the model is optimized via least square law. The model solves effectively the problem that modeling few data in traction power supply system relies big swatch theory, and the model of fault data of the contact net in railway is built. By fitting result, it is proved that the precision of fitting data is bigger improved.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSAE.2011.5952882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

There exist bigger error of fault model and few examining data in traction power supply system. A novel way to model fault for few data is advanced, its parameter is estimated by maximum likelihood criterion and the model is optimized via least square law. The model solves effectively the problem that modeling few data in traction power supply system relies big swatch theory, and the model of fault data of the contact net in railway is built. By fitting result, it is proved that the precision of fitting data is bigger improved.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于H-C模型的牵引供电系统故障模型
牵引供电系统存在故障模型误差较大、检测数据少的问题。采用极大似然准则估计故障参数,利用最小二乘法则对故障模型进行优化,提出了一种基于少量数据的故障模型建模方法。该模型有效地解决了牵引供电系统建模数据少依赖大样本理论的问题,建立了铁路接触网故障数据模型。拟合结果表明,该方法对拟合数据的精度有较大的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visual group identification method of technical competitors using LinLog graph clustering algorithm Overview of 3D textile dynamic simulation research Monotonically decreasing eigenvalue for edge-sharpening diffusion Visual Tracking with adaptive layered-optimizing particles in Multifeature Particle Filtering Framework The fast Viterbi algorithm caching Profile Hidden Markov Models on graphic processing units
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1