摘要
针对电力系统中电信号检测的现状,提出了一种高分辨率的电信号时频分析新方法.该方法首先基于自适应最优核时频分布理论得到电信号的时频分布,然后进行时频平面脊信息的提取,从而得到电信号各频率分量频率随时间变化的特征.针对时变间谐波、暂态震荡电压、变压器故障电流等电信号进行仿真分析,仿真结果表明:该方法表现出很高的时频聚集性,且不受交叉项的影响,清晰地刻画出各频率分量的时变性特征.
A novel method on time-frequency analysis for electric signal in power system is proposed in this paper with the research on detection of electric signal. Firstly, time-frequency distribution of electric signal is acquired based on adaptive optimal kernel time-frequency representation （AOK TFR）. Then ridges are detected from time-frequency plain. Therefore, all kinds of characteristics of electric signal can be detected and identified. The time varied interharmonics, transient oscillation voltage and fault current of transformer are simulated. The testing results show that the method has higher time-frequency resolution and is independent of cross components. The time-frequency plain eharacteristics of time varied electric signals are also distinctly revealed.
出处
《湖南工程学院学报（自然科学版）》
2009年第1期1-4,共4页
Journal of Hunan Institute of Engineering(Natural Science Edition)
基金
湖南省自然科学基金资助项目(07JJ6079)
湖南工程学院科研资助项目(0753)
