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MODELING AND TEST POINT SELECTION FOR A THERMAL TRANSFER STANDARD

机译:热转印标准的建模与测试点选择

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Full calibration support for multirange instruments can be costly and time consuming. This paper presents a case study in which a new empirical-model-based approach was used to substantially reduce the number of tests required to fully characterize an instrument. The Fluke 792A Thermal Transfer Standard was the subject instrument for the study. Test results showed that measurements made at 50 test points were sufficient to allow accurate predictions of the instrument's performance at all 255 test points specified by the manufacturer. An accurate model relating ac/dc difference to voltage and frequency for the instrument was formulated using complete test data from many devices collected by the manufacturer over several production runs. An empirical test point selection procedure was used to select an optimal set of test points and subsequently to predict the ac/dc differences of other 792As based on the limited set of measurements taken at the selected test points.
机译:对多个仪器的全校准支持可能是昂贵且耗时的。本文提出了一种案例研究,其中使用了一种新的基于实验模型的方法来大大减少完全表征仪器所需的测试数量。 Fluke 792A热转印标准是研究的主题仪器。测试结果表明,50个测试点的测量足以允许在制造商指定的所有255个测试点处准确预测仪器的性能。使用由制造商收集的许多设备在多个生产运行中,使用从制造商收集的许多设备的完整测试数据配制了与仪器的电压和频率相关的准确模型。经验测试点选择程序用于选择最佳的测试点集,并且随后基于在所选测试点处拍摄的有限测量集来预测其他792AS的AC / DC差异。

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