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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2012, Vol. 13 Issue (2): 121-131    DOI: 10.1631/jzus.A1100073
Mechanics and Mechanical Engineering     
Multivariate error assessment of response time histories method for dynamic systems
Zhen-fei Zhan, Jie Hu, Yan Fu, Ren-Jye Yang, Ying-hong Peng, Jin Qi
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; Research and Innovation Center, Ford Motor Company, Dearborn, MI48124, USA
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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.

Key words： Model validation      Multivariate dynamic responses      Principal component analysis      Dynamic time warping     
Received: 22 March 2011      Published: 18 January 2012
CLC:  TP391.72  
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Zhen-fei Zhan
Jie Hu
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Ren-Jye Yang
Ying-hong Peng
Jin Qi
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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. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(2): 121-131.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1100073     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2012/V13/I2/121

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