时频分析方法及其在火箭振动数据分析中的应用

Time-Frequency Analysis Application on Rocket Vibration Data

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 rocket vibration data and offer powerful evidence for improving rocket design and performance analysis,several typical time-frequency method as well as their principles and features were researched and simulated. An algorithm model for time-frequency analysis on measured data was proposed according to the characteristics of rocket vibration data. The results show that the Hil-bert-Huang transform,which is of good adaptive characteristics and optimal time-frequency resolution,is a good time-frequency method for rocket vibration data.