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CLC number: TP391.72

On-line Access: 2012-01-18

Received: 2011-03-22

Revision Accepted: 2011-09-06

Crosschecked: 2011-12-27

Cited: 1

Clicked: 2911

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2012 Vol.13 No.2 P.121-131

http://doi.org/10.1631/jzus.A1100073


Multivariate error assessment of response time histories method for dynamic systems


Author(s):  Zhen-fei Zhan, Jie Hu, Yan Fu, Ren-Jye Yang, Ying-hong Peng, Jin Qi

Affiliation(s):  School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   hujie@sjtu.edu.cn

Key Words:  Model validation, Multivariate dynamic responses, Principal component analysis, Dynamic time warping


Zhen-fei Zhan, Jie Hu, Yan Fu, Ren-Jye Yang, Ying-hong Peng, Jin Qi. Multivariate error assessment of response time histories method for dynamic systems[J]. Journal of Zhejiang University Science A, 2012, 13(2): 121-131.

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author="Zhen-fei Zhan, Jie Hu, Yan Fu, Ren-Jye Yang, Ying-hong Peng, Jin Qi",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1100073"
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%T Multivariate error assessment of response time histories method for dynamic systems
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%A Jie Hu
%A Yan Fu
%A Ren-Jye Yang
%A Ying-hong Peng
%A Jin Qi
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%@ 1673-565X
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1100073

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T1 - Multivariate error assessment of response time histories method for dynamic systems
A1 - Zhen-fei Zhan
A1 - Jie Hu
A1 - Yan Fu
A1 - Ren-Jye Yang
A1 - Ying-hong Peng
A1 - Jin Qi
J0 - Journal of Zhejiang University Science A
VL - 13
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SP - 121
EP - 131
%@ 1673-565X
Y1 - 2012
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1100073


Abstract: 
In this paper, an integrated validation method and process are developed for multivariate dynamic systems. The principal component analysis approach is used to address multivariate correlation and dimensionality reduction, the dynamic time warping and correlation coefficient are used for error assessment, and the subject matter experts (SMEs)’ opinions and principal component analysis coefficients are incorporated to provide the overall rating of the dynamic system. The proposed method and process are successfully demonstrated through a vehicle dynamic system problem.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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