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文章基本信息

  • 标题:Stochastic Subspace Method for Experimental Modal Analysis
  • 本地全文:下载
  • 作者:Dazhi Liu ; Dazhi Liu ; Shuhong Xiang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2016
  • 卷号:77
  • 页码:1-6
  • DOI:10.1051/matecconf/20167707003
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model. In this test the gauss white noise generated from a shaker table to simulate the ambient vibration on the model, and the response signals are measured. Next, the response data of experiment are processed by auto-cross spectrum density method and stochastic subspace identification method respectively, the two methods are verified by comparing with the theory result. and bearing out the superiority of stochastic subspace identification method compared to auto-cross spectrum density method.
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