北京航空航天大学学报 ›› 2012, Vol. 38 ›› Issue (6): 741-744,749.

• 论文 • 上一篇    下一篇

基于时频分析的运载火箭故障特征提取技术

崔桂磊, 唐永华   

  1. 宇航动力学国家重点实验室, 西安 710043
  • 收稿日期:2011-03-10 出版日期:2012-06-30 发布日期:2012-06-30
  • 基金资助:
    总装预研项目(2009SY2603009)

Rocket fault feature extraction based on time-frequency analysis

Cui Guilei, Tang Yonghua   

  1. State Key Laboratory of Astronautic Dynamics, Xian 710043, China
  • Received:2011-03-10 Online:2012-06-30 Published:2012-06-30

摘要: 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.

Abstract: 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.

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