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隔离放大器是一种输入电路和输出电路之间电气隔离的器件,一般采用变压器或光耦合传递信号,非线性误差是其一项重要的技术指标。本文介绍了一种基于LabVIEW实现的隔离放大器的自动测试技术,系统以标准信号源、数字多用表为标准装置,通过GPIB和TCPIP通信来实现计算机对隔离放大器的自动测试,完成非线性误差的计算,并自动生成测试报告。文中介绍了系统的测量原理、组成、非线性误差的算法以及软件编制。系统在实际的工作中取得了良好效果,显著提高了工作效率,为实验室检测工作的自动化作了有意尝试。 相似文献
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Helene L. Winters Deborah L. Domingue Teck H. Choo Raymond Espiritu Christopher Hash Erick Malaret Alan A. Mick Joseph P. Skura Joshua Steele 《Space Science Reviews》2007,131(1-4):601-623
The MESSENGER Science Operations Center (SOC) is an integrated set of subsystems and personnel whose purpose is to obtain,
provide, and preserve the scientific measurements and analysis that fulfill the objectives of the MErcury Surface, Space ENvironment,
GEochemistry, and Ranging (MESSENGER) mission. The SOC has two main functional areas. The first is to facilitate science instrument
planning and operational activities, including related spacecraft guidance and control operations, and to work closely with
the Mission Operations Center to implement those plans. The second functional area, data management and analysis, involves
the receipt of science-related telemetry, reformatting and cataloging this telemetry and related ancillary information, retaining
the science data for use by the MESSENGER Science Team, and preparing data archives for delivery to the Planetary Data System;
and the provision of operational assistance to the instrument and science teams in executing their algorithms and generating
higher-level data products. 相似文献
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刘书华 《西安航空技术高等专科学校学报》2007,25(5):72-73,80
通过剖析传统《机械设计基础》考试方法存在的弊端,从考试系统的建立、系统的组成与开发、系统的使用与特点等方面介绍《机械设计基础》网上考试系统的设计思路,并综合分析了网上考试系统试题的生成、在线学习和系统维护等多种功能的实现从而发挥了网络资源在教学和管理中的优势。 相似文献
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L. Habash Krause A. Franz A. Stevenson 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2011
This paper presents an overview of the mathematical foundations for techniques in Exploratory Data Analysis (EDA) for the purpose of investigating the relationships among the numerous variables in large sets of multivariate space weather data. Specifically, we cover techniques in Principal Components Analysis (PCA) and Common Factor Analysis (CFA). These techniques are illustrated using space weather activity indices collected during the year 2002 and the corresponding noon-time hmF2 data from the International Reference Ionosphere (IRI). A CFA is used to categorize the activity indices, and a PCA is used to derive two macro-indices of activity to ascertain the strength of solar and geomagnetic activity. These macro-indices are then used to compare and contrast IRI’s noon-time hmF2 values at six different geographic stations. It was found that the correlation between hmF2 and the macro-indices more accurately represented the variation of this correlation with latitude found in previous studies than if we used an isolated conventional index, such as SSN and AE. We also found that the daily maximum value of the Polar Cap Index was dependent on both solar and geomagnetic activity, but the closely-related cross-Polar Cap Potential was solely associated with elevated levels of geomagnetic activity, which is a unique result compared to previous studies. We argue that the discrepancy can be explained by the difference in experiment designs between the two studies. This paper demonstrates the usefulness of EDA in space weather studies of large multivariate data sets. 相似文献
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