【摘要】 论文应用HHT方法来进行电力系统故障信号的分析。该方法利用经验模态分解法(EMD)将复杂的故障暂态信号分解成有限个固有模态信号(IMF),从而使Hilbert变换(HT)的瞬时频率具有实际物理意义。通过瞬时频率和进一步得到的Hilbert边际谱,对故障暂态信号进行了分析。仿真结果表明:该方法可以从时频两方面同时对故障信号进行分析;能够实现对故障时刻的准确检测;能够提取、区分电力系统谐波分量;Hilbert边际谱的分辨率优于傅里叶谱。更多还原

【Abstract】 In this paper, Hilbert-Huang Transform is applied to analyze fault transient signal in electric power system. The complicated signal can be decomposed into a finite Intrinsic Mode Functions (IMF) by the empirical mode decomposition (EMD), that make the Instantaneous frequency meaningful. Thus fault transient signal can be analyzed by Instantaneous frequency and Hilbert marginal spectrum. The result of simulation shows that this method can analyze the signal from time and frequency domains, and detect fault time and extract and distinguish harmonics. Compared with Fourier spectrum, Hilbert marginal spectrum has higher resolution in frequency domain.更多还原