航空发动机试飞中转静子碰摩故障信号处理 的希尔伯特－黄变换（HHT）方法

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。

Signal Processing of Rubbing Trouble Between Rotor and Stator of Aeroengines in Flight-test Using Hilbert-Huang Transform

A new method of time-varying signal processing based on empirical mode decomposition (EMD) and Hilbert transformation (HT) was proposed. At first, the time series data was separated into components with different time scales, say, intrinsic mode functions (IMF) using EMD. Then the Hilbert transformation was applied to each IMFs. The result of the method was a spectrum of the HT. In the paper, this method and the corresponding algorithm were explained in detail, and the program written by MATLAB was verified by comparing its output with the result of a vibration signal simulation. Then, this method was applied to the vibration signal processing of rotor-stator rubbing trouble of the aeroengine in the real flight testing. The result shows that the EMD and HT-based time-frequency analysis method is valid in vibration signal processing of rotor-stator rubbing trouble of aeroengines.