人民长江2017，Vol.48Issue(5)：96-100,5.DOI:10.16232/j.cnki.1001-4179.2017.05.021
基于EEMD的水轮机摆度信号特征提取分析
Swing signal characteristics extraction of hydroturbine based on EEMD
汪泉 1李德忠1
作者信息
- 1. 华中科技大学 能源与动力工程学院,湖北 武汉 430074
- 折叠
摘要
Abstract
A characteristics extraction method based on the ensemble empirical mode decomposition (EEMD) is proposed.The basic principle and solving procedures of the method are introduced.The abnormal peak constituents of the collected hydraulic turbine swing signal was decomposed by EEMD, and the characteristic signal with different constituents was separated.The abnormal peak characteristic constituents and the clutter constituents of IMF were eliminated, and then the rest of IMF was reconstructed to obtain the restructured signal.Through the analysis of the simulation signal, it has been proven that the method for extracting the characteristics of hydraulic turbine swing signal is effective.关键词
摆度信号/总体经验模态分解/本征模函数/特征成分/重组信号Key words
swing signal/EEMD/Intrinsic Mode Function/characteristic constituents/reconstructed signal分类
建筑与水利引用本文复制引用
汪泉,李德忠..基于EEMD的水轮机摆度信号特征提取分析[J].人民长江,2017,48(5):96-100,5.
