基于时频分析的运载火箭故障特征提取技术

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.

Rocket fault feature extraction based on time-frequency analysis

To obtain more valuable information from rocket flight test data as much as possible,a fault feature extraction model was proposed to the need of rocket vibration analysis.3D Fourier spectrum was constucted to analyze the time-varying trend of entire observation signal efficiently.Standard and fast algorithm of Wigner-Ville distribution was studied to describe the frequency spectrum of interesting data segments accurately.The model and methods were illustrated on rocket telemetry data.The results prove the model’s direct-vision,high efficiency,and accuracy.It’s of great significance for designing a rocket with high reliability and performance to analyze the flight test data more deeply,based on time-frequency analysis methods.