东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (7): 794-797.DOI: -

• 论著 • 上一篇    下一篇

利用Laplace小波和粒子群算法实现阻尼和频率精确计算

朱启兵;刘杰;李允公;应怀樵;   

  1. 东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东方振动和噪声技术研究所 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;北京100085
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-07-15 发布日期:2013-06-23
  • 通讯作者: Zhu, Q.-B.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50275024)

Exact evaluation of damping and frequency by laplace wavelet and PSO

Zhu, Qi-Bing (1); Liu, Jie (1); Li, Yun-Gong (1); Ying, Huai-Qiao (2)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China; (2) China Orient Institute of Noise and Vibration, Beijing 100085, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-07-15 Published:2013-06-23
  • Contact: Zhu, Q.-B.
  • About author:-
  • Supported by:
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摘要: 提出一种利用Laplace小波求自由衰减信号阻尼和频率的新方法.该方法利用Laplace小波实部的衰减特性来识别信号中的自由衰减波形,从而实现阻尼、频率的正确识别.同时为了提高识别效率,引入了粒子群算法来实现Laplace小波的参数寻优.仿真试验表明:这一方法具有较高的计算精度,且计算精度不受相邻模态耦合的影响.

关键词: 阻尼识别, 频率识别, Laplace小波, 粒子群算法, 寻优

Abstract: A new method to exactly evaluate damping and frequency is presented using Laplace wavelet and particle swarm optimizer (PSO). Taking advantage of the attenuation of the real part of Laplace wavelet to recognize the freely decaying waveforms from signal so as to recognize correctly both damping and frequency. Meanwhile, PSO is introduced to optimize the parameters of Laplace wavelet. Simulation results shown that the accuracy of this method is comparatively higher, and the adjacent modal coupling have no effect on its accuracy.

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