基于滑窗FFT算法的低频振荡主导模式识别

Low Frequency Oscillation Mode Recongnition Based on the Sliding Window FFT Algorithm

通过分析加窗截断低频振荡信号的频谱分布,提出了基于滑窗FFT算法的主导模式识别方法。该方法通过对滑窗前后相应谱分量变化的分析,就能识别出模式的衰减特性(即阻尼特性);并针对FFT算法特有的栅栏效应现象,提出了相应的模式识别方法和步骤。仿真结果表明,该方法可以有效的识别低频振荡特征参数,计算量较少,并对含白噪声的信号具有较好的鲁棒性。

Through analysis of the windowed low frequency oscillation signal, a new method based on sliding window FFT algorithm is proposed. Through sliding a fixed window, analysing the amplitude change of the corresponding spectral components, we can identify the damping characteristics;for the barrier effect of the FFT algorithm, the pattern recogni- tion methods and steps are respectively proposed. The simulation results show that this method can effectively identify low frequency oscillation characteristics, has a less amount of calculation, and has better robustness for containing white noise signal.