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  • 标题:Non-parametric load extrapolation based on load extension for semi-axle of wheel loader
  • 本地全文:下载
  • 作者:Jixin Wang ; Yan Li ; Zhujin Jiang
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2017
  • 卷号:9
  • 期号:3
  • DOI:10.1177/1687814017690073
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:Load extrapolation is the paramount step in compiling load spectra of the mechanical components. To avoid the limitation of the stationary processes in parametric extrapolation methods, the non-parametric extrapolation method is widely investigated in recent years. However, the accuracy of kernel density estimation of the large load cycles in existing non-parametric methods should be still improved. Aiming at this issue, a non-parametric rain-flow extrapolation method based on load extension is presented. In this method, combining with non-parametric extrapolation model and Markov chain Monte Carlo method, the measured load–time histories for semi-axle in different operating sections are extended and extrapolated. The extrapolated load spectra curves and the relative damage ratio are compared with the results obtained by the existing rain-flow extrapolation methods. The results show that the proposed method can realize the reasonable extrapolation of load–time histories.
  • 关键词:Non-parametric load extrapolation; load extension; load spectra; kernel density estimation; wheel loader
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