Application of neural networks to voltage fluctuations measurement — neural networks flickermeter

M. Szlosek, B. Świątek, Z. Hanzelka
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引用次数: 10

Abstract

It can be shown, that many flickermeters do not yield credible output readings although the manufacturers declare their compliance with the requirements of standard IEC 61000-4-15. Modifications or revisions to the standard and increasing the number of requirements, what is currently taking place, seem to be interim actions, whose results are dubious. On the other hand, it should be acknowledged that since over ten years the standardization of voltage fluctuations is based on the UIE flickermeter. The authorspsila idea is to treat a flickermeter - from its analogue input to the output of block 4 - as a black box, filled in by a designer accordingly to its decision, while maintaining the IN/OUT characteristics in conformity with those of the flickermeter regarded as a standard one.
神经网络在电压波动测量中的应用——神经网络闪变仪
可以看出,尽管制造商声明其符合标准IEC 61000-4-15的要求,但许多闪烁计不能产生可靠的输出读数。目前正在进行的对标准的修改或修订和增加要求的数目似乎是临时行动,其结果是可疑的。另一方面,应该承认,由于十多年来电压波动的标准化是基于UIE闪变计的。作者的想法是把一个闪变表——从模拟输入到第4块的输出——当作一个黑盒子,由设计者根据自己的决定填充,同时保持与标准闪变表一致的输入/输出特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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