Multivariate error assessment of response time histories method for dynamic systems
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 asses...
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| Veröffentlicht in: | Journal of Zhejiang University. A. Science 2012-02, Vol.13 (2), p.121-131 |
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| container_end_page | 131 |
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| container_issue | 2 |
| container_start_page | 121 |
| container_title | Journal of Zhejiang University. A. Science |
| container_volume | 13 |
| creator | Zhan, Zhen-fei Hu, Jie Fu, Yan Yang, Ren-Jye Peng, Ying-hong Qi, Jin |
| description | 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. |
| doi_str_mv | 10.1631/jzus.A1100073 |
| format | Article |
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| ispartof | Journal of Zhejiang University. A. Science, 2012-02, Vol.13 (2), p.121-131 |
| issn | 1673-565X 1862-1775 |
| language | eng |
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| source | SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Assessments Civil Engineering Classical and Continuum Physics Dynamic tests Dynamical systems Dynamics Engineering Error analysis Industrial Chemistry/Chemical Engineering Mechanical Engineering Mechanics and Mechanical Engineering Principal component analysis Vehicles Warpage |
| title | Multivariate error assessment of response time histories method for dynamic systems |
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