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Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions

机译:考虑工作条件的数控机床可靠性参数区间估计

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摘要

Aiming at the problem that the parameter interval estimation of NC machine tool's reliability model considering working conditions established by Hongzhou is difficult to implement, given that it has several independent variables, an improved interval estimation method based on Bootstrap is proposed. Firstly, the two-step estimation method was used to calculate the point estimation of NC machine tool's reliability parameter in test field, based on which alpha resamplings are generated based on the point estimation. The reliability parameter's point estimation of the resamplings was obtained by maximum likelihood estimation. Permutation of alpha point estimations was made in ascending order and the interval estimations were obtained by the alpha quantile of the permutation. Case study indicated that the location and length of the interval estimation of NC machine tools' reliability parameter, under different levels of working condition covariates, vary obviously.
机译:针对宏州建立的考虑工况的数控机床可靠性模型参数区间估计难以实现的问题,鉴于其具有多个自变量,提出了一种基于Bootstrap的改进区间估计方法。首先,采用两步估计法对数控机床在测试领域的可靠性参数进行点估计,并在此基础上生成基于点估计的α重采样。重采样的可靠性参数的点估计是通过最大似然估计获得的。按升序进行alpha点估计的排列,并通过排列的alpha分位数获得间隔估计。案例研究表明,在不同工况协变量水平下,数控机床可靠性参数区间估计的位置和长度明显不同。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第9期|4037903.1-4037903.7|共7页
  • 作者

    Li Hongzhou; Sun Lixia;

  • 作者单位

    Beihua Univ, Coll Mech Engn, Jilin 132013, Jilin, Peoples R China;

    Beihua Univ, Coll Mech Engn, Jilin 132013, Jilin, Peoples R China;

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