JZUS - Journal of Zhejiang University SCIENCE

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

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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.

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