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Truss structural damage identification based on principal component analysis and multivariate control chart

哈尔滨工业大学学报(英文版)2007,Vol.14Issue(6):793-798,6.
哈尔滨工业大学学报(英文版)2007,Vol.14Issue(6):793-798,6.

Truss structural damage identification based on principal component analysis and multivariate control chart

Truss structural damage identification based on principal component analysis and multivariate control chart

摘要

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.

关键词

truss damage/ frequency response function/ principal component/ control chart/ whole size truss/dynamic test

Key words

truss damage/ frequency response function/ principal component/ control chart/ whole size truss/dynamic test

分类

建筑与水利

引用本文复制引用

..Truss structural damage identification based on principal component analysis and multivariate control chart[J].哈尔滨工业大学学报(英文版),2007,14(6):793-798,6.

基金项目

Sponsored by the Foundation of Henan Province Key Technology R and D Program( Grant No. 0423033700). ( Grant No. 0423033700)

哈尔滨工业大学学报(英文版)

1005-9113

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