• CN:11-2187/TH
  • ISSN:0577-6686

›› 2002, Vol. 38 ›› Issue (6): 102-105.

• 论文 • 上一篇    下一篇

基于奇异值分解的突变信息检测新方法及其应用

刘献栋;杨绍普;申永军;李其汉   

  1. 北京航空航天大学汽车工程系;石家庄铁道学院;北京航空航天大学
  • 发布日期:2002-06-15

NEW METHOD OF DETECTING ABRUPT INFORMATION BASED ON SINGUARITY VALUE DECOMPOSITION AND ITS APPLICATION

Liu Xiandong;Yang Shaopu;Shen Yongjun;Li Qihan   

  1. Beijing University of Aeronautics and Astronautics Shijiazhuang Railway Institute
  • Published:2002-06-15

摘要: 提出了利用时间序列重构的吸引子轨迹矩阵奇异值分解的方法检测信号中的突变信息。利用该方法对任选的一数值信号和旋转机械静动件早期碰摩故障数值仿真信号进行了检测,并将检测结果与信号的小波变换结果进行了比较,结果表明,该方法是可行的,能够有效地应用于信号的奇异性检测。另外,还分析了噪声信号对该方法与小波变换方法所得结果的影响。最后,将该方法应用于旋转机械静动件早期碰摩故障试验信号的检测,获得了满意的结果。

关键词: 碰摩, 奇异值分解, 突变信息

Abstract: A method of detecting abrupt information in the signal is presented, which uses the singularity value decomposition about track matrix of attractor reconstructed by time series. Using this method, to detect is performed according to a numerical signal and a numerical simulating signal of early rub-impact between rotor and stator of rotating machinery. Through comparing its detecting results with ones gotten using wavelet transform, the conclusion can be gained that this method is feasible and can be used to detect signal’s singularity. Then a further investigation is done about the effect of the noise signal on the results of the presented method and the wavelet transform. Finally, this method is used to detect the testing signal of early rub-impact between rotor and stator of rotating machinery, and the satisfying results are gotten.

Key words: Abrupt information, Rub-impact, Singularity value decomposition

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