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时变信号处理的新方法希尔伯特-黄变换,是把一时间序列数据通过经验模态分解(Empirical Mode Decomposition,简称EMD)成本征模函数组(Intrinsic Mode Function,简称IMF),然后经希尔伯特变换(Hilbert Transformation,简称HT)获得频谱的信号时频分析方法引入到航空发动机转静子碰摩故障振动信号处理领域。该方法的理论和算法为用MATLAB语言编写分析程序,再用仿真信号验证程序的正确性和有效性;然后对飞行试验中获得的故障振动信号进行分析。结果表明,用EMD和HT方法对航空发动机转静子碰摩故障振动信号进行时频分析是有效的。
A New Approach to Time-Varying Signal Processing The Hilbert-Huang Transform is a method that uses an empirical mode decomposition (Empirical Mode Decomposition, EMD for short) called the Intrinsic Mode Function (IMF) Hilbert transform (referred to as HT) to obtain the spectrum signal time-frequency analysis method is introduced into the field of aero-engine rub-impact fault vibration signal processing. The theory and algorithm of this method is to use MATLAB language to write the analysis program, and then use the simulation signal to verify the correctness and validity of the program. Then the fault vibration signal obtained in the flight test is analyzed. The results show that using EMD and HT method to time-frequency analysis of aero-engine rub-impact fault vibration signal is effective.