摘要
针对电力系统非线性和非平稳性暂态复合扰动信号的提取要求,采用经验模态分解(EMD)从信号的时间尺度特征出发对信号进行分解,实现了信号自适应的频带划分,在此基础上进行Hilbert变换,分离出了各扰动信号的时间、频率和幅值特征,仿真结果表明该方法对电力系统非平稳的扰动信号具有较好的分析效果。
For the extraction requirements of non-linear and non-stationary nature of the transient composite disturbance signal of the power system, EMD method is applied to decompose these signals from the time scale of its characteristics to realize adaptive signal of the band. And then the characteristics of time, frequency and amplitude of each disturbance signal are extracted on the basis of a Hilbert transformation. Simulation results show that the method has a better analysis result to non-stationary power system disturbance signals.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2009年第11期6-9,共4页
Power System Protection and Control
基金
国家自然科学基金(No.60773122)
河南省青年科学基金(No.074100510004)~~
关键词
HHT
暂态复合扰动信号
非平稳性
EMD
HILBERT变换
HHT（Hilbert Huang Transform）
transient composite disturbance signal
non-stationary nature
EMD （empirical mode decomposition）
Hilbert transform
