A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification

被引:17
作者
Huang, Jie-zhong [1 ,2 ]
Yuan, Si-Jie [1 ,2 ]
Li, Dong-sheng [1 ,2 ]
Li, Hong-nan [3 ]
机构
[1] Shantou Univ, Dept Civil Engn, Shantou, Guangdong, Peoples R China
[2] Guangdong Engn Ctr Struct Safety & Hlth Monitoring, Shantou, Guangdong, Peoples R China
[3] Dalian Univ Technol, Sch Civil & Hydraul Engn, Dalian, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Structural health monitoring; Damage detection; Environmental and operational variation; Kernel canonical correlation analysis; Data normalization; DIAGNOSIS; COINTEGRATION; FEATURES; FUSION; CCA;
D O I
10.1016/j.jsv.2022.117516
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Vibration-based damage detection relies on the observation of changes in damage-sensitive dy-namic features. However, a major problem is that dynamic features are sensitive not only to structural damage but also to environmental and operational variations (EOVs), such as tem-perature, humidity, and operational loading. In addition, the influence of EOVs on damage -sensitive features is often nonlinear, which limits the application of many linear methods in the removal of environmental effects. To remove the nonlinear effects of EOVs on dynamic fea-tures, an improved method based on kernel canonical correlation analysis (KCCA) is proposed in this study. Using this method, the monitored data were divided into two groups. The two sets of data were then mapped into a higher-dimensional space through the kernel trick to determine their implicit linear relationship. Subsequently, two variables that share the co-occurrence in-formation of EOV effects were computed using canonical correlation analysis (CCA), and a sta-tionary residual insensitive to EOVs was obtained. Furthermore, the proposed approach was examined using a simulated 7-DOF example and then applied to real monitored data from the Z24 bridge, demonstrating that nonlinear EOV effects can be successfully removed and damage can be accurately identified.
引用
收藏
页数:21
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