使用DoE对智能电源产品的实验室验证进行数据改进

A. Oros, Ingrid Kovacs, M. Topa, Andi Buzo, M. Rafaila, Manuel Harrant, G. Pelz
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引用次数: 1

摘要

本文的重点是处理和表征的变化,发生在测量或内在的电子系统。实验设计的基本原则,如复制和阻塞方法的实施和使用,从而得出有效和客观的结论。复制用于三个目的:验证元模型的充分性,定义系统响应的测量平均值的置信区间,以及确定以给定精度测量系统响应所需的最小复制数。阻塞有助于消除由于测量条件而出现的系统误差,并在筛选过程中使用。将这些方法应用于汽车照明控制系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data improvement in lab verification of smart power products using DoE
The paper focuses on treating and characterizing variations that occur in measurements or that are intrinsic in electronic systems. Methods illustrating basic principles of Design of Experiments such as replication and blocking are implemented and used so that valid and objective conclusions are drawn. Replication is used for three purposes: verifying the metamodel adequacy, defining the confidence interval of the measured mean value of the system's response and determining the minimum number of replications that are needed in order to measure the system's response with a given accuracy. Blocking helps with eliminating the systematic error that appears due to the measuring conditions and was used in the screening process. The methods were applied on a lighting control system used in automotive applications.
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