首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:Particle Filter on Nonlinear Vibration Signal of Bridge Stayed Cable
  • 本地全文:下载
  • 作者:Ye Qingwe ; Yuan Debin ; Zhou Yu
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2012
  • 卷号:5
  • 期号:4
  • 页码:940-956
  • 出版社:Massey University
  • 摘要:For the nonlinear vibration signal of stayed cables, a new particle filter algorithm is used in this paper. Firstly, nonlinear dynamic model of the stayed-cable and beam coupling system is dispersed in temporal dimension by using the finite difference method. So the discrete nonlinear vibration equation of any cable element is gotten. And secondly, a state equation of particle filter is fitted by least square algorithm from the discrete nonlinear vibration equation. So the particle filter algorithm can use the accurate state equations. Finally, the particle filter algorithm is used to filter the vibration signal of bridge stayed cable. The vibration signal is de-noised. And from the particle filter, the vibration signal can be tracked and be predicted for a short time accurately. The simulation experiments and the actual experiments on the bridge stayed cable are all indicating that the particle filter algorithm in this paper has good performance and works stably
国家哲学社会科学文献中心版权所有