...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Compression of electrical power signals from waveform records using genetic algorithm and artificial neural network
【24h】

Compression of electrical power signals from waveform records using genetic algorithm and artificial neural network

机译：使用遗传算法和人工神经网络从波形记录中压缩电力信号

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes a methodology for compression of electrical power signals from waveform records in electric systems, using genetic algorithm (GA) and artificial neural network (ANN). The genetic algorithm is used to select and preserve the points that better characterize the waveform contours; and the artificial neural network is used in the compression of other points as well as on the signal reconstruction process. Thus, the data resulting from the proposed methodology are formed by a part of the original signal and by a compressed complementary part in the form of synaptic weights. The proposed methodology selects and preserves a percentage of the original signal samples, which are aspects not explored in the literature. The method was tested using field data obtained from an oscillographic recorder installed in a 230 kV electrical power system. The results presented compression rates ranging from 8.59:1.00 to 24.16:1.00 for preservation rates ranging from 2.5% to 10%, respectively. (C) 2016 Elsevier B.V. All rights reserved.
机译：本文提出了一种利用遗传算法（GA）和人工神经网络（ANN）压缩电力系统波形记录中的电力信号的方法。遗传算法用于选择和保留可以更好地表征波形轮廓的点。人工神经网络用于其他点的压缩以及信号重建过程。因此，由所提出的方法产生的数据由原始信号的一部分和突触权重形式的压缩互补部分形成。所提出的方法选择并保留一定百分比的原始信号样本，这是文献中未探讨的方面。使用从安装在230 kV电力系统中的示波器记录仪获得的现场数据测试了该方法。结果显示压缩率的范围从8.59：1.00到24.16：1.00，保存率分别从2.5％到10％。 （C）2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号