• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Conference on Energy Internet and Energy System Integration >Multiple Time-scale Characteristics Analysis of Rainfall in Hunan Province Based on Ensemble Empirical Mode Decomposition
【24h】

Multiple Time-scale Characteristics Analysis of Rainfall in Hunan Province Based on Ensemble Empirical Mode Decomposition

机译：湖南省湖南降雨量的多次规模特征分析基于集合经验模式分解

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In view of the mode mixing and end effects of empirical mode decomposition (EMD), the ensemble empirical mode decomposition (EEMD) method based on extreme learning machine (ELM) signal continuation is presented to analyze the rainfall time series with multiple time-scale, In this paper, the EEMD and the wavelet method were applied to analyze the annual rainfall sequence in Hunan province. The results show that the EEMD method, as a kind of new signal processing method, can obtain accurate characteristics of the annual rainfall series. Based on this, it can be found that the proposed method can be widely used for the multiple timescale characteristics analysis of rainfall time series.
机译：鉴于经验模式分解（EMD）的模式混合和结束效果，提出了基于极端学习机（ELM）信号延续的集合经验模式分解（EEMD）方法，以分析多次尺度的降雨时间序列，本文采用了EEMD和小波法来分析湖南省的年降雨序列。结果表明，EEMD方法作为一种新的信号处理方法，可以获得年降雨系列的准确特征。基于此，可以发现该方法可广泛用于降雨时间序列的多个时间尺度特性分析。

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