吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 298-302.

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Automated identification algorithm of autobody mode

GAO Jian-feng1, NA Jing-xin1, WANG Qiu-lin1, YAN Ya-kun2   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
  • Received:2011-03-01 Online:2012-03-01 Published:2012-03-01

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Abstract: According to the characteristics of the autobody vibration modes, an automated identification algorithm based on statistics was proposed to identify the 1st order global vertical bending mode and the 1st order global twisting mode. The characteristic curve regression equation of each mode was established, and the regression analysis was made by calculating the coefficient of determination R2 to identify the target mode. A Fortran program was compiled for this algorithm and it was used to the automated identification of body modal analyses of 3 coaches. The results showed that the proposed algorithm is valid and effective.

Key words: vehicle engineering, autobody mode, statistic processing, algorithm

CLC Number: 

  • U463.82
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