摘要
提出利用Hilbert-Huang变换对电力系统故障信号检测的方法。通过对检测点获得的故障电流信号进行经验模式分解(EMD),得到一系列的本征模态分量(IMF),利用Hilbert变换得到Hilbert谱及边际谱,分析发现,通过瞬时频率突变能准确定位故障时刻,Hilbert谱的峰值变化也能反映故障时刻及故障特征信息;通过边际谱分析可以获得故障信号所含的真实频率,为进一步故障检测提供了依据。仿真试验表明Hilbert-Huang变换的方法能准确地检测故障时刻。
The method of Hilbert-Huang Transform(HHT) is proposed to analyze the fault signal in the power system.The current fault signal is successfully decomposed into a series of smooth Intrinsic Mode Functions(IMFs) by EMD.Hilbert spectrum and Hilbert marginal spectrum are obtained from Hilbert spectra analysis.Fault time can be detected by instantaneous frequency break and the real frequency of fault signal is analyzed by Hilbert marginal spectrum,which can provide the basis for the fault detection.Simulation results indicate that the HHT method can detect the fault time accurately.
出处
《江苏电机工程》
2007年第5期1-3,共3页
Jiangsu Electrical Engineering
