Operational modal analysis with automated SSI-COV algorithm

使用应用于环境振动数据的SSI-COV算法自动识别线样结构的模态参数

Summary

SSICOV的函数。m旨在自动一致格fy the eigenfrequencies, mode shapes and damping ratios of a line-like structure using ambient vibrations only. The covariance-driven stochastic subspace identification method (SSI-COV) is used in combination with a clustering algorithm to automatically analyse the stabilization diagrams.

该算法的灵感来自Magalhaes等人使用的算法。[1]。它已应用于Lysefjord桥[2]的环境振动监测，并与频域分解技术进行了比较[3]。最后，发现该算法足够准确，可以在温度下可视化桥本征频的演变[4]。

内容

The submission file contains:

• A data file BridgeData.mat
• MATLAB LIVE脚本示例1.mlx，说明了该算法的应用。
• MATLAB LIVE脚本示例1_notoolbox.mlx，该示例1，但使用函数ssicov_notoolbox。
• The function SSICOV which is the automated SSI-COV algorithm.
• The function SSICOV_noToolbox which is the automated SSI-COV algorithm but does not use the Statistics and Machine Learning Toolbox. The Linkage algorithm is replaced by the function "PHA_Clustering" by [5] and the function "cluster" is replaced by the function "Cluster2", which is derived from [6].
• The function plotStabDiag.m, which plot the stabilization diagram.

欢迎任何问题，建议或评论。

References

[1] Magalhaes, F., Cunha, A., & Caetano, E. (2009). Online automatic identification of the modal parameters of a long span arch bridge. Mechanical Systems and Signal Processing, 23(2), 316-329.

[2] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2016).Buffeting response of a suspension bridge in complex terrain. Engineering Structures, 128, 474-487.

[3] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2017).Damping estimation of large wind-sensitive structures.Procedia Engineering, 199, 2047-2053.

[4] Cheynet，E.，Snæbjörnsson，J。，＆Jakobsen，J。B.（2017）。对悬浮桥模态性能的影响。在民用结构的动力学中，第2卷（第87-93页）。施普林格。

[5] Yonggang (2021). Fast hierarchical clustering method - PHA (//www.tatmou.com/matlabcentral/fileexchange/46134-fast-hierarchical-clusterical-clustering-method-pha), MATLAB Central File Exchange. Retrieved February 4, 2021.

[6] Eric Ogier（2021）。分层聚类（//www.tatmou.com/matlabcentral/fileexchange/56844-hierarchical-clustering), MATLAB Central File Exchange. Retrieved February 4, 2021.