Moment-independent Importance Measure Analysis Method Based to Point-estimate

被引：0
|
作者：
Wang W. [1 ]
Gao H. [1 ]
Zhou C. [1 ]
机构：
[1] School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an
来源：
Wang, Wenxuan (wxwangd@163.com) | 1600年 / Chinese Mechanical Engineering Society卷 / 53期
关键词：
Importance measure; Moment-independent; Point-estimate; Uncertainty;
D O I：
10.3901/JME.2017.08.016
中图分类号：
学科分类号：
摘要：
The moment independent importance measure can reflect the influence on the output characteristics by the uncertainty of input parameters. The traditional numerical simulation method needs a large number of samples, thus is of low efficiency, which limits its application to engineering problems. To solve this problem, a nesting point estimate method is proposed to calculate two moment independent importance measures. In this method, the traditional double loop is converted to a single loop, which greatly enhances the computational efficiency. This method immune from the distribution type of random variables, and calculate the importance measures with selected points and the corresponding weights. The proposed method is of good applicability and high efficiency. The proposed method is applied to several practical problems to demonstrate its applicability in the engineering. © 2017 Journal of Mechanical Engineering.
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页码：16 / 24
页数：8
相关论文
共 21 条
  • [1] Lu Z., Song S., Li H., Et al., Structural Mechanics Reliability and Reliability Sensitivity Analysis, (2009)
  • [2] Kong X., Yu B., Quan L., Et al., Nonlinear mathematical modeling and sensitivity analysis of hydraulic drive unit, Chinese Journal of Mechanical Engineering, 28, 5, pp. 999-1011, (2015)
  • [3] Hu Y., Zhao S., Hou J., Et al., Sensitivity analysis of influencing factors of artificial hip joint stability, Journal of Mechanical Engineering, 52, 9, pp. 45-50, (2015)
  • [4] Li Q., Ma Y., Huang T., Kind of Parallel power head static flexibility accurate prediction methods and sensitivity analysis, Journal of Mechanical Engineering, 52, 11, pp. 1-10, (2016)
  • [5] Wei P., Lu Z., Hao W., Et al., Efficient sampling methods for global reliability sensitivity analysis, Computer Physics Communications, 183, 8, pp. 1728-1743, (2012)
  • [6] Wei P.F., Lu Z.Z., Song J.W., Variable importance analysis: A comprehensive review, Reliability Engineering & System Safety, 142, pp. 399-432, (2015)
  • [7] Zhou C.C., Lu Z.Z., Li G.J., A new algorithm for variance based importance measures and importance kernel sensitivity, Journal of Risk and Reliability, 227, 1, pp. 16-27, (2013)
  • [8] Zhang Y., Zhang W., Ma T., Et al., Design Optimization of complex nonlinear dynamic system global sensitivity analysis and proxy model, Journal of Mechanical Engineering, 51, 4, pp. 126-131, (2015)
  • [9] Ma T., Zhang W., Zhang Y., Et al., Multi-parameter sensitivity analysis and application research in the robust optimization design for complex nonlinear system, Chinese Journal of Mechanical Engineering, 28, 1, pp. 55-62, (2015)
  • [10] Wei P.F., Lu Z.Z., Song J.W., Variable importance analysis: A comprehensive review, Reliability Engineering & System Safety, 142, pp. 399-432, (2015)
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