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为了对火箭振动数据进行精确的时频分析,给火箭改进设计、性能分析提供重要依据,研究了几种典型的时频分析方法及各自的原理、特点,并进行算法仿真;结合火箭振动数据特点建立算法模型,对实测数据进行时频分析,结果对比表明:希尔伯特-黄变换(Hilbert-Huang Transform,HHT)时频分析方法具有很强的自适应特性,其时频谱具有最佳的时频分辨率,是优良的火箭振动数据时频分析方法。
In order to accurately analyze the rocket vibration data in time and frequency, the rocket provides an important basis for improving the design and performance analysis. Several typical time-frequency analysis methods and their respective principles and characteristics are studied, and the algorithm simulation is carried out. Combined with the characteristics of rocket vibration data The algorithm model is established and the time-frequency analysis of the measured data is made. The comparison of the results shows that the time-frequency analysis method of Hilbert-Huang Transform (HHT) has a strong self-adaptive characteristic, and its time-frequency spectrum has the best Time-frequency resolution, is an excellent rocket vibration data time-frequency analysis.