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Regression analysis of automatic measurement systems.

机译：自动测量系统的回归分析。

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摘要

The Department of Defense (DoD) testing methodology for the evaluation and acceptance between existing and emerging automatic measurement systems are based on qualitative (PASS/FAIL) criteria of the automatic measurement systems responses when testing of a unit-under-test. Acceptance of a unit-under-test, based on qualitative responses, is contingent upon accurate measurements by the automatic measurement system. This dissertation presents a regression analysis methodology for evaluating the performance between automatic measurement systems that are functionally equivalent but technologically different. The motivation for this research is to advance regression analysis techniques in the transportability of unit-under-tests between current and emerging measurement systems. Given the acquisition cost, schedule and technical challenges in developing new systems, this methodology will provide increased confidence for the acquisition community to make informed decisions about the capability of future automatic measurement systems. The regression analysis methodology presented, quantitatively analyzes the parametric responses by functionally decomposing the automatic measurement systems to their lowest functional capability, and subsequently integrates the total automated measurement system for a unit-under-test's parametric responses.
机译：国防部（DoD）在现有和新兴自动测量系统之间进行评估和接受的测试方法，是基于对被测单元进行测试时自动测量系统响应的定性（PASS / FAIL）标准。基于定性响应，被测单元的接受取决于自动测量系统的精确测量。本文提出了一种回归分析方法，用于评估功能相同但技术上不同的自动测量系统之间的性能。这项研究的动机是在当前和新兴的测量系统之间的被测单元的可移植性方面提高回归分析技术。考虑到开发新系统的购置成本，进度和技术挑战，这种方法将为购置界提供更多的信心，使他们可以就未来的自动测量系统的性能做出明智的决定。提出的回归分析方法，通过将自动测量系统功能分解为最低功能来定量分析参数响应，然后将整个自动化测量系统集成为一个被测单元的参数响应。

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  • 作者

    Flynn, Michael J.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Engineering Electronics and Electrical.;Engineering System Science.
  • 学位 D.Sc.
  • 年度 2009
  • 页码 219 p.
  • 总页数 219
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;系统科学;
  • 关键词

  • 入库时间 2022-08-17 11:38:29

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