首页> 外文会议>Dynamic systems and control conference 2008 >OUTPUT-ONLY MODAL ANALYSIS OF RANDOMLY EXCITED SYSTEMS USING SMOOTH ORTHOGONAL DECOMPOSITION
【24h】

OUTPUT-ONLY MODAL ANALYSIS OF RANDOMLY EXCITED SYSTEMS USING SMOOTH ORTHOGONAL DECOMPOSITION

机译:基于平稳正交分解的随机激励系统的仅输出模态分析

获取原文
获取原文并翻译 | 示例

摘要

Modal parameter estimation in terms of natural frequencies and mode shapes is studied using smooth orthogonal decomposition (SOD) for randomly excited vibration systems. This work shows that under certain conditions, the SOD eigenvalue problem formulated from white noise induced response data can be tied to the unforced structural eigenvalue problem, and thus can be used for modal parameter estimation. Using output response ensembles only, the generalized eigenvalue problem is formed to estimate modal frequencies and modal vectors for a sixteen-degree-of-freedom lightly damped vibratory system . The estimated frequencies are compared against system frequencies obtained from the structural eigenvalue problem and estimated modal vectors are checked using the modal assurance criterion. Simulations show that for light damping, satisfactory results are obtained for estimating both system frequencies and modal vectors even in presence of sensor noise.
机译:对于随机激发的振动系统,使用平滑正交分解(SOD)研究了根据固有频率和振型的模态参数估计。这项工作表明,在一定条件下,由白噪声引起的响应数据公式化的SOD特征值问题可以与非强制性结构特征值问题联系在一起,因此可以用于模态参数估计。仅使用输出响应集合,就可以形成广义特征值问题,以估计16自由度轻阻尼振动系统的模态频率和模态矢量。将估计的频率与从结构特征值问题获得的系统频率进行比较,并使用模态保证标准检查估计的模态矢量。仿真表明,对于光阻尼,即使存在传感器噪声,也可以获得令人满意的结果来估计系统频率和模态矢量。

著录项

  • 来源
  • 会议地点 Ann Arbor MI(US);Ann Arbor MI(US);Ann Arbor MI(US);Ann Arbor MI(US);Ann Arbor MI(US)
  • 作者

    Umar Farooq; Brian F Feeny;

  • 作者单位

    Department of Mechanical Engineering Michigan State University East Lansing, Michigan 48824;

    Department of Mechanical Engineering Michigan State University East Lansing, Michigan 48824;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号