Rail flaw detection system based on electromagnetic acoustic technique

Zhu Yi, Kaican Wang, L. Kang, Zhai Guofu, Shujuan Wang
{"title":"Rail flaw detection system based on electromagnetic acoustic technique","authors":"Zhu Yi, Kaican Wang, L. Kang, Zhai Guofu, Shujuan Wang","doi":"10.1109/ICIEA.2010.5516784","DOIUrl":null,"url":null,"abstract":"As a result of the development of higher speeds and heavier loads of rail networks, rail defects have been more serious than ever before. Current piezoelectric ultrasonic detection devices are often inadequate for rail inspection, due to high misjudgement or undetected error rate, and complex structure. This paper introduces a novel rail detection system. The system is based on multi-channel electromagnetic acoustic transducers under the control of DSP. Cumulative average and cross-correlation algorithms are realized by FPGA, exploiting the advantages of FPGA in high calculating speed and designing flexibility. Combining EMATs with FPGA, the system is free of couplant, compact in structure and low use-cost, and can realize an overall detection of rails.","PeriodicalId":234296,"journal":{"name":"2010 5th IEEE Conference on Industrial Electronics and Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 5th IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2010.5516784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

As a result of the development of higher speeds and heavier loads of rail networks, rail defects have been more serious than ever before. Current piezoelectric ultrasonic detection devices are often inadequate for rail inspection, due to high misjudgement or undetected error rate, and complex structure. This paper introduces a novel rail detection system. The system is based on multi-channel electromagnetic acoustic transducers under the control of DSP. Cumulative average and cross-correlation algorithms are realized by FPGA, exploiting the advantages of FPGA in high calculating speed and designing flexibility. Combining EMATs with FPGA, the system is free of couplant, compact in structure and low use-cost, and can realize an overall detection of rails.
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
基于电磁声技术的钢轨探伤系统
由于铁路网络的高速和重载发展,铁路缺陷比以往任何时候都更加严重。现有的压电超声检测装置由于误判率或未检出错误率高、结构复杂等原因,往往不适用于钢轨检测。本文介绍了一种新型的钢轨检测系统。该系统基于多通道电磁声换能器,在DSP控制下实现。利用FPGA计算速度快、设计灵活等优点,利用FPGA实现了累积平均算法和相互关联算法。该系统将EMATs与FPGA相结合,无耦合,结构紧凑,使用成本低,可实现对轨道的整体检测。
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
Forecasting next-day electricity prices with Hidden Markov Models Design of HTS Linear Induction Motor using GA and the Finite Element Method Hybrid recurrent fuzzy neural network control for permanent magnet synchronous motor applied in electric scooter Integrating human factors into nanotech sustainability assessment and communication An ID-based content extraction signatures without trusted party
×
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