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- Title
基于随机子空间法的结构模态参数 自动识别方法.
- Authors
李爱群; 张超; 邓扬; 钟国强; 柳 尚
- Abstract
To solve the problem of insufficient anti-noise ability in the automatic analysis of stable poles by stochastic subspace identification(SSI)method, a new automatic identification method for modal parameters was proposed. Firstly, stable poles were output by covariance driven stochastic subspace identification(COV-SSI)combined with a new definition of stable poles. Secondly, the modified ordering points to identify the clustering structure(OPTICS)algorithm was used to clean and cluster stable poles. Thirdly, an adaptive merging method based on the median frequency was proposed to aggregate the incompletely merged clusters, and the cluster median was used as the representative value of the modal parameters to realize automatic modal identification without manual intervention. Finally, the feasibility was validated by taking the Lysefjord suspension bridge model as an example. The results show that the proposed method can achieve automation with high accuracy, and the maximum error of the frequency value is only 1.926%. It can automatically and accurately identify the modal parameters at various levels of noise interference, and its robustness advantage is obvious compared with the control methods.
- Publication
Journal of Southeast University / Dongnan Daxue Xuebao, 2023, Vol 53, Issue 1, p53
- ISSN
1001-0505
- Publication type
Article
- DOI
10.3969/j.issn.1001-0505.2023.01.007