Full Text:   <1782>

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: 2930

Citations:  Bibtex RefMan EndNote GB/T7714

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


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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publisher="Zhejiang University Press & Springer",

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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
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1100073

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


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