基于HHT的转子冲临界过程分析

希尔伯特黄变换(Hilbert-HuangTransformation,HHT),是先把一列时间序列数据通过经验模态分解(EmpiricalModeDecomposition,EMD),然后经过希尔伯特变换获得频谱的信号处理新方法。把HHT时频分析方法引入了转子冲临界过程分析。通过对模拟转子冲临界过程的实验研究表明,相比短时傅立叶变换(STFT)分析,基于HHT的时频分析方法对冲临界信号的分析具有真实、完整、能识别信号频率的瞬时变化、时域频域分辨率不相互干扰的特点。

The HHT-based Analysis of Rotor Running Across Critical Rotating

The method of Hilbert-Huang Transformation(HHT) is that, first, separate the series data to components with different time scale, say, intrinsic mode function(IMF), using empirical mode decomposition(EMD) , then apply the Hilbert transformation to every IMFs. The result of the method is the spectrum of HHT. The HHT-based time-frequency analysis means was introduced to the field of rotor vibration field. A simulate experiment was researched using the method, comparing to the Short Time Fourier Transformation(STFT), results showed that the method could represent the instantaneous frequency more truthful, clear and complete during the Rotor running across critical rotating.