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为尽可能从运载火箭飞行试验数据中获取更多有价值的信息,提出了新的火箭振动参数故障特征提取模型,用于火箭振动问题分析.构建了三维傅里叶谱,用于高效地分析全程观测信号频谱的时变趋势,研究了Wigner-Ville分布的标准算法与快速算法,用于精确刻画振动参数感兴趣数据段的频谱随时间的分布情况.试验结果表明:模型及方法处理火箭遥测数据直观、高效、精确,可以应用于实测数据分析.研究时频分析方法对试验数据进行更深层次的分析处理,对设计高可靠、高性能的运载火箭,具有重要意义.
In order to obtain more valuable information from the rocket flight test data as far as possible, a new model of rocket vibration parameter fault feature extraction is proposed for the analysis of rocket vibration problems. A three-dimensional Fourier spectrum is constructed for efficient analysis The time-varying trend of the signal spectrum is observed throughout the whole process. The standard algorithm and fast algorithm of the Wigner-Ville distribution are studied to accurately characterize the frequency distribution of the data segment of interest in the vibration parameter over time. The experimental results show that the model and the method of processing the rocket telemetry The data is intuitive, efficient and accurate and can be applied to the field data analysis.Study on the time-frequency analysis method for deeper analysis of the experimental data is of great significance for the design of high reliability and high performance launch vehicle.