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Truss structural damage identification based on principal component analysis and multivariate control chart
作者姓名:杨彦芳  宋玉普
作者单位:State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology,State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China Henan Provincial Academy of Building Research,Zhengzhou 450053,China,Dalian 116024,China
基金项目:the Foundation of Henan Province Key Technology R and D Program(Grant No.0423033700).
摘    要:The present paper addresses the subject of truss damage identification using measured frequency response functions (FRF). Damage identification matrix is formed using measured FRFs obtained from truss dynamic test. Then using principal component analysis (PCA),the variable space dimensions of damage identification matrix can be reduced,and original data characters of FRFs can be analyzed and extracted from lower dimension variable space. Thus truss damages can be identified using the multivariate control chart of first several order principal components which contain almost all of original data information. Without the need for modal parameters,the method avoids the errors of modal fitting. In order to validate the reliability of the method,a whole size truss was tested with six types of damage case concerning single or two element damages. The experimental result shows that the proposed method is straightforward and reliable for truss damage identification. Especially,the method has good applicability for the truss under noisy environment and non-linear cases.

关 键 词:桁架损害  频率反应功能  控制制图  动力测试
文章编号:1005-9113(2007)06-0793-06
收稿时间:2006-03-21

Truss structural damage identification based on principal component analysis and multivariate control chart
YANG Yan-fang, SONG Yu-pu.Truss structural damage identification based on principal component analysis and multivariate control chart[J].Journal of Harbin Institute of Technology,2007,14(6):793-798.
Authors:YANG Yan-fang  SONG Yu-pu
Abstract:The present paper addresses the subject of truss damage identification using measured frequency response functions (FRF). Damage identification matrix is formed using measured FRFs obtained from truss dynamic test. Then using principal component analysis (PCA),the variable space dimensions of damage identification matrix can be reduced,and original data characters of FRFs can be analyzed and extracted from lower dimension variable space. Thus truss damages can be identified using the multivariate control chart of first several order principal components which contain almost all of original data information. Without the need for modal parameters,the method avoids the errors of modal fitting. In order to validate the reliability of the method,a whole size truss was tested with six types of damage case concerning single or two element damages. The experimental result shows that the proposed method is straightforward and reliable for truss damage identification. Especially,the method has good applicability for the truss under noisy environment and non-linear cases.
Keywords:truss damage  frequency response function  principal component  control chart  whole size truss  dynamic test
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