轨道车辆运动称重系统:性能和鲁棒性分析

B. Allotta, P. D'Adamio, Giulia Gaburri, A. Innocenti, L. Marini, E. Meli, L. Pugi
{"title":"轨道车辆运动称重系统:性能和鲁棒性分析","authors":"B. Allotta, P. D'Adamio, Giulia Gaburri, A. Innocenti, L. Marini, E. Meli, L. Pugi","doi":"10.1109/I2MTC.2015.7151562","DOIUrl":null,"url":null,"abstract":"One of the most important issue in the railway research is represented by the accurate estimation of the axle loads of railway vehicles. Weigh in Motion (WIM) devices are designed to measure loads with the vehicle in motion, making the weighing process more efficient. This paper is focused on an innovative algorithm for high speed WIM applications able to estimate the wheel loads of trains by means of indirect track measurements. The novelty of the proposed estimation method are its generality, the possibility to be used with different layouts and its robustness against numerical and measure noise. The main estimation procedure is based on least square (LSQ) minimization techniques, used to process the set of experimental physical input. The whole WIM architecture has been developed in cooperation with Ansaldo STS and ECM SpA.","PeriodicalId":424006,"journal":{"name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weigh in Motion systems for railway vehicles: Performance and robustness analysis\",\"authors\":\"B. Allotta, P. D'Adamio, Giulia Gaburri, A. Innocenti, L. Marini, E. Meli, L. Pugi\",\"doi\":\"10.1109/I2MTC.2015.7151562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most important issue in the railway research is represented by the accurate estimation of the axle loads of railway vehicles. Weigh in Motion (WIM) devices are designed to measure loads with the vehicle in motion, making the weighing process more efficient. This paper is focused on an innovative algorithm for high speed WIM applications able to estimate the wheel loads of trains by means of indirect track measurements. The novelty of the proposed estimation method are its generality, the possibility to be used with different layouts and its robustness against numerical and measure noise. The main estimation procedure is based on least square (LSQ) minimization techniques, used to process the set of experimental physical input. The whole WIM architecture has been developed in cooperation with Ansaldo STS and ECM SpA.\",\"PeriodicalId\":424006,\"journal\":{\"name\":\"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC.2015.7151562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2015.7151562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

铁路车辆轴载的准确估计是铁路研究中的一个重要问题。动态称重(WIM)设备设计用于测量车辆在运动中的负载,使称重过程更加高效。本文研究了一种创新的高速WIM算法,该算法能够通过间接轨道测量来估计列车的车轮载荷。该估计方法的新颖之处在于其通用性、可用于不同的布局以及对数值噪声和测量噪声的鲁棒性。主要的估计过程是基于最小二乘(LSQ)最小化技术,用于处理实验物理输入集。整个WIM架构是与Ansaldo STS和ECM SpA合作开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weigh in Motion systems for railway vehicles: Performance and robustness analysis
One of the most important issue in the railway research is represented by the accurate estimation of the axle loads of railway vehicles. Weigh in Motion (WIM) devices are designed to measure loads with the vehicle in motion, making the weighing process more efficient. This paper is focused on an innovative algorithm for high speed WIM applications able to estimate the wheel loads of trains by means of indirect track measurements. The novelty of the proposed estimation method are its generality, the possibility to be used with different layouts and its robustness against numerical and measure noise. The main estimation procedure is based on least square (LSQ) minimization techniques, used to process the set of experimental physical input. The whole WIM architecture has been developed in cooperation with Ansaldo STS and ECM SpA.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信