Uncertainty Issues in Multi-Channel Data Acquisition Systems

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI:10.1109/I2MTC43012.2020.9128577

A. Carullo, S. Corbellini, A. Vallan, A. Atzori

{"title":"Uncertainty Issues in Multi-Channel Data Acquisition Systems","authors":"A. Carullo, S. Corbellini, A. Vallan, A. Atzori","doi":"10.1109/I2MTC43012.2020.9128577","DOIUrl":null,"url":null,"abstract":"This paper deals with the analysis of multi-channel data-acquisition systems with the aim of identifying and combining the main uncertainty contributions. The approach based on the GUM uncertainty framework has been implemented to characterize and combine the different contributions. Particular attention has been paid towards cross-talk effects, which can be not negligible above all in multiplexed data-acquisition systems. The uncertainty analysis is described for a commercial data acquisition board, whose cross-talk specification is not suitable for a reliable uncertainty estimation in operating conditions. For this reason, an experimental characterization of the board has been performed and the obtained results are provided. These results highlight that a proper characterization of a data-acquisition system is effective in estimating the actual performance at the operating frequency and provide valuable information in terms of source resistance and input-channel configuration that make cross-talk effects negligible.","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC43012.2020.9128577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

This paper deals with the analysis of multi-channel data-acquisition systems with the aim of identifying and combining the main uncertainty contributions. The approach based on the GUM uncertainty framework has been implemented to characterize and combine the different contributions. Particular attention has been paid towards cross-talk effects, which can be not negligible above all in multiplexed data-acquisition systems. The uncertainty analysis is described for a commercial data acquisition board, whose cross-talk specification is not suitable for a reliable uncertainty estimation in operating conditions. For this reason, an experimental characterization of the board has been performed and the obtained results are provided. These results highlight that a proper characterization of a data-acquisition system is effective in estimating the actual performance at the operating frequency and provide valuable information in terms of source resistance and input-channel configuration that make cross-talk effects negligible.

查看原文本刊更多论文

多通道数据采集系统中的不确定性问题

本文对多通道数据采集系统进行了分析，目的是识别和组合主要的不确定因素。采用基于GUM不确定性框架的方法来描述和组合不同的贡献。对多路数据采集系统中不可忽视的串扰效应给予了特别的关注。针对某商用数据采集板的串扰规格不适合在工作条件下进行可靠的不确定度估计的问题，进行了不确定度分析。为此，对该板进行了实验表征，并给出了得到的结果。这些结果突出表明，对数据采集系统进行适当的表征可以有效地估计工作频率下的实际性能，并提供有关源电阻和输入通道配置的有价值的信息，使串扰效应可以忽略不计。

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分钟内获得全文求助全文

来源期刊

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

自引率

0.00%

发文量