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应用科学学报 ›› 2000, Vol. 18 ›› Issue (3): 198-201.

• 论文 • 上一篇    下一篇

基于小波奇异性的结构故障检测

胡寿松1, 周川1, 胡维礼2   

  1. 1. 南京航空航天大学自动控制系, 江苏南京 210016;
    2. 南京理工大学自动化系, 江苏南京 210094
  • 收稿日期:1999-08-28 修回日期:1999-12-28 出版日期:2000-09-30 发布日期:2000-09-30
  • 作者简介:胡寿松(1937-),男,浙江慈溪人,教授,博导.
  • 基金资助:
    国家自然科学基金(69974021)及航空科学重点基金(98z51002)资助项目

A New Structure Fault Detection Method Based on Wavelet Singularity

HU Shou-song1, ZHOU Chuan1, HU Wei-li2   

  1. 1. Department of Automatic Control, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Department of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:1999-08-28 Revised:1999-12-28 Online:2000-09-30 Published:2000-09-30

PDF

74

被引次数

29

摘要： 提出了一种新的基于小波奇异性的结构故障检测方法.通过对传感器检测信号进行二进离散小波变换,采用模极大值算法对信号进行去噪滤波,同时根据小波变换模极大值在不同尺度下的分布来完成故障的检测与定位.该方法可有效抑制噪声对残差信号的影响,提高故障检测的鲁棒性.最后,针对歼击机的结构故障进行了仿真,仿真结果表明了本文方法的有效性。

关键词: 小波分析, 歼击机, 故障诊断, 奇异性检测

Abstract: A new type of fault diagnosis strategy based on wavelet singularity detection is presented in this paper. In this method, the signal is firstly processed by discrete binary wavelet transform. It is then denoised through modulus maxima algorithm, and fault detection and positioning is completed by the modulus maxima point distribution in wavelet transformation. This method can evidently eliminate the affection of noise on residual signal and improve the robustness of fault detection. Finally, this method is applied to the fighter's structure fault detection. Simulation results show that the presented method is effective.

Key words: fault diagnosis, wavelet analysis, singularity detection, fighter

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