Bridge damage detection based on moving principal component analysis combining with transfer entropy

被引：0
|
作者：
Nie Z.-H. [1 ,2 ]
Yang W.-X. [1 ]
Cheng L.-Y. [3 ]
Ma H.-W. [1 ,4 ]
机构：
[1] School of Mechanics and Construction Engineering, Jinan University, Guangzhou
[2] The Key Laboratory of Disaster Forecast and Control in Engineering, Ministry of Education of China, Guangzhou
[3] School of Civil Engineering, Henan University of Technology, Jiaozuo
[4] School of Ecological Environment and Construction Engineering, Dongguan University of Technology, Dongguan
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2020年 / 33卷 / 05期
关键词：
Bridge; Damage identification; Moving principal component analysis; Moving window; Transfer entropy;
D O I：
10.16385/j.cnki.issn.1004-4523.2020.05.021
中图分类号：
学科分类号：
摘要：
A bridge damage detection method based on moving principal component analysis combining with transfer entropy is proposed in this paper. Firstly, taking the mid-point of the bridge as the demarcation point, the installed sensors are divided into two equal parts to form original two data matrices. A moving window is defined to cut the two data matrices synchronously, and the two windowed data sets are calculated by principal component analysis (PCA). Moving the window on the timeline and repeat the PCA procedure, two first eigenvalues time series are obtained. Then, the two first eigenvalue time series are analyzed by the windowed transfer entropy method, and a new damage index is extracted. When a moving vehicle passes through the damaged location, the damage index will mutate, so as to locate the damage. An upper threshold theory is introduced to increase the robustness of the method. Numerical and experimental results demonstrate that the proposed method can accurately locate the damage. This method does not need to establish a structural finite element model as the baseline. As a data-driven method, it is suitable for practical engineering application. © 2020, Nanjing Univ. of Aeronautics an Astronautics. All right reserved.
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页码：1062 / 1072
页数：10
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