首页> 外文会议>World multiconference on systemics, cybernetics and informatics >The Fault Location Method for Transmission Line in Distribution System with Time Series Wavelet Neural Network System
【24h】

The Fault Location Method for Transmission Line in Distribution System with Time Series Wavelet Neural Network System

机译:具有时间序列小波神经网络系统的分配系统输电线路故障定位方法

获取原文

摘要

A scheme of high accurate fault location with high frequency in fault transient signals on non-direct-ground neutral system is proposed. The wavelet neural networks models proposed before are not suited to the time series analysis of fault location, so the general concept of wavelet neural networks are introduced, and the time series wavelet neural network is proposed for discrete signal analysis. Then according to the characteristic of fault transient signals, the adaptive time series wavelet neural network is adopted for fault location on non-direct-ground system, simulation results illustrate the efficiency and practice of the method proposed in this paper.
机译:提出了一种高频率在非直接地中性系统上具有高频率的高精度故障位置的方案。提出之前的小波神经网络模型不适合故障定位的时间序列分析,因此引入了小波神经网络的一般概念,提出了用于离散信号分析的时间序列小波神经网络。然后根据故障瞬态信号的特性,采用自适应时间序列小波神经网络用于非直接地系统上的故障位置,仿真结果说明了本文提出的方法的效率和实践。

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