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

基于时频分析的运载火箭故障特征提取技术

宇航动力学国家重点实验室, 西安 710043

基金项目:

总装预研项目(2009SY2603009)

详细信息

中图分类号: V557⁺.3;TJ760.6⁺28;TN911.72
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- 文章访问数: 3392
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- 被引次数: 0
出版历程
- 收稿日期: 2011-03-10
- 网络出版日期: 2012-06-30

Rocket fault feature extraction based on time-frequency analysis

State Key Laboratory of Astronautic Dynamics, Xian 710043, China

摘要

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.
- 运载火箭 /
- 遥测数据 /
- 故障定位 /
- 时频分析 /
- 特征提取
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.
- rocket /
- telemetry data /
- fault location /
- time-frequency analysis /
- feature extraction

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参考文献(15)

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