Electromagnetic Tomography System for Defect Detection of High-Speed Rail Wheel

Yu Miao, Liu Xianglong, Ze Liu, Yue Yuanli, Wu Jianli, Jiwei Huo, Yong Li
{"title":"Electromagnetic Tomography System for Defect Detection of High-Speed Rail Wheel","authors":"Yu Miao, Liu Xianglong, Ze Liu, Yue Yuanli, Wu Jianli, Jiwei Huo, Yong Li","doi":"10.15918/J.JBIT1004-0579.20047","DOIUrl":null,"url":null,"abstract":"A novel electromagnetic tomography(EMT) system for defect detection of high-speed rail wheel is proposed, which differs from traditional electromagnetic tomography systems in its spatial arrangements of coils. A U-shaped sensor array was designed, and then a simulation model was built with the low frequency electromagnetic simulation software. Three different algorithms were applied to perform image reconstruction, therefore the defects can be detected from the reconstructed images. Based on the simulation results, an experimental system was built and image reconstruction were performed with the measured data. The reconstructed images obtained both from numerical simulation and experimental system indicated the locations of the defects of the wheel, which verified the feasibility of the EMT system and revealed its good application prospect in the future.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"29 1","pages":"474-483"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Beijing Institute of Technology (English Edition)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15918/J.JBIT1004-0579.20047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

A novel electromagnetic tomography(EMT) system for defect detection of high-speed rail wheel is proposed, which differs from traditional electromagnetic tomography systems in its spatial arrangements of coils. A U-shaped sensor array was designed, and then a simulation model was built with the low frequency electromagnetic simulation software. Three different algorithms were applied to perform image reconstruction, therefore the defects can be detected from the reconstructed images. Based on the simulation results, an experimental system was built and image reconstruction were performed with the measured data. The reconstructed images obtained both from numerical simulation and experimental system indicated the locations of the defects of the wheel, which verified the feasibility of the EMT system and revealed its good application prospect in the future.
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
用于高速铁路车轮缺陷检测的电磁层析成像系统
提出了一种用于高速铁路车轮缺陷检测的新型电磁层析成像(EMT)系统,该系统与传统的电磁层析成像系统不同之处在于线圈的空间布置。设计了一个U型传感器阵列,并利用低频电磁仿真软件建立了仿真模型。应用三种不同的算法进行图像重建,从而可以从重建的图像中检测出缺陷。基于仿真结果,建立了实验系统,并利用测量数据进行了图像重建。从数值模拟和实验系统中获得的重建图像表明了车轮缺陷的位置,验证了EMT系统的可行性,显示了其良好的应用前景。
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
CiteScore
1.10
自引率
0.00%
发文量
2437
期刊最新文献
Existence and Uniqueness Analysis for Fractional Differential Equations with Nonlocal Conditions A New Tensor Factorization Based on the Discrete Simplified Fractional Fourier Transform Generalized Uncertainty Inequalities on Fisher Information Associated with LCT A Random Nonstationary Pulse Train Model Research Progress on Discretization of Linear Canonical Transform
×
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