Real-time processing of multi-frequency eddy currents testing signals

Luís Filipe Soldado Granadeiro Rosado, M. Piedade, Tiago Catarrunas, P. Ramos
{"title":"Real-time processing of multi-frequency eddy currents testing signals","authors":"Luís Filipe Soldado Granadeiro Rosado, M. Piedade, Tiago Catarrunas, P. Ramos","doi":"10.1109/I2MTC.2013.6555631","DOIUrl":null,"url":null,"abstract":"In this paper, a real-time Digital Signal Processing (DSP) architecture is proposed to generate and process multi-frequency signals for eddy currents testing. This architecture was implemented on a dedicated instrument whose processing core is a Field-Programmable Gate Array (FPGA) for DSP purposes. Stimulus generation is achieved using Direct Digital Synthesis (DDS) with some improvements to remove spurious frequency components. An In-phase and Quadrature (IQ) demodulation scheme is implemented to estimate the real and imaginary part of the probes output signals. A Cascaded Integrator Comb (CIC) decimator is used to lower the sampling frequency allowing narrowband IIR filtering using low resources. The proposed architecture is able to generate and process the stimulus and input data at 125 MSamples/s and to estimate the input data components at 1.25 MSamples/s rate for frequencies between 50 kHz and 10 MHz.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2013.6555631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In this paper, a real-time Digital Signal Processing (DSP) architecture is proposed to generate and process multi-frequency signals for eddy currents testing. This architecture was implemented on a dedicated instrument whose processing core is a Field-Programmable Gate Array (FPGA) for DSP purposes. Stimulus generation is achieved using Direct Digital Synthesis (DDS) with some improvements to remove spurious frequency components. An In-phase and Quadrature (IQ) demodulation scheme is implemented to estimate the real and imaginary part of the probes output signals. A Cascaded Integrator Comb (CIC) decimator is used to lower the sampling frequency allowing narrowband IIR filtering using low resources. The proposed architecture is able to generate and process the stimulus and input data at 125 MSamples/s and to estimate the input data components at 1.25 MSamples/s rate for frequencies between 50 kHz and 10 MHz.
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
多频涡流检测信号的实时处理
本文提出了一种实时数字信号处理(DSP)体系结构,用于涡流检测多频信号的生成和处理。该架构是在专用仪器上实现的,其处理核心是用于DSP的现场可编程门阵列(FPGA)。刺激产生采用直接数字合成(DDS),并进行了一些改进,以消除杂散频率成分。采用同相正交(IQ)解调方法对探头输出信号的实部和虚部进行估计。级联积分器梳(CIC)抽取器用于降低采样频率,允许使用低资源进行窄带IIR滤波。所提出的架构能够以125 MSamples/s的速度生成和处理刺激和输入数据,并以1.25 MSamples/s的速率估计频率在50 kHz和10 MHz之间的输入数据成分。
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
Face based recognition algorithms: The use of uncertainty in the classification Estimation and analysis of communication service time in a real-time wireless industrial network Analytic redundance applied to the relay-connected instrumentation of electric power distribution substations Hierarchical sparse learning for load forecasting in cyber-physical energy systems Microwave conductance of semicontinuous metallic films from coplanar waveguide scattering parameters
×
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