吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (4): 1092-1098.doi: 10.13229/j.cnki.jdxbgxb20170896

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Estimation of piecewise mixed load distribution based on AIC-K-means

WANG Ji-xin1, ZHAI Xin-ting1, BI Ye-hong-tian1, LI Ying-ying2   

  1. 1.School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
    2.Tianjin Research Institute of Construction Machinery, Tianjin 300400, China
  • Received:2017-07-03 Online:2018-07-01 Published:2018-07-01

Abstract: In order to solve the problem of load distribution in construction machines, an estimation method of piecewise mixed load distribution based on Akaike Information Criterion (AIC) K-means is proposed. First, according to Luise method, the chi-square test values of the normal distribution, logarithm normal distribution and Weibull distribution are calculated. Then, the corresponding distribution of the minimum test value is chosen as the fitting function of the piecewise mixed distribution. Finally, the formula expression of the distribution is obtained through the maximum likelihood estimation. The proposed method is applied to the outlet pressure load time history of the excavation operation the excavator, and compared with the existing method. The result obtained by the proposed method passes the chi-square test. The simulated data of 1000 groups are used to conduct feasibility analysis and the estimated parameter error range is 0~18%.

Key words: construction machinery, load distribution, AIC criterion, K-means algorithm, piecewise mixed distribution

CLC Number: 

  • TH243
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