An effective approach for kinematic reliability analysis of steering mechanisms
An effective approach for kinematic reliability analysis of steering mechanisms
复制标题
转向机构运动可靠性分析的有效方法
DOI：
10.1016/j.ress.2018.07.009
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发表时间：
2018-12
影响因子：
8.1
通讯作者：
周杨君健
中科院分区：
文献类型：
--
作者：
王磊;张旭方;周杨君健
提出了一种基于极值运动误差模型和Kriging近似的机构系统可靠性分析的有效代理模型。在这方面，考虑了两种类型的运动学可靠性问题，即要求运动学误差的系统可靠性在整个输出轨迹上保持在精度阈值内，而时间相关可靠性考虑了由于伪时间参数从开始到当前实现的变化而逐渐传播的系统故障域。这两个运动学可靠性问题都需要计算绝对算子和最大算子混合表示的极值误差函数。相比之下，简单的基于位置的误差函数允许用相当少的训练样本来开发准确的代理模型。因此，针对转向机构的运动可靠性问题，提出了一种近似模型。结果表明，与文献中已有的可靠性方法相比，该方法对各种运动学可靠性问题具有较高的精度。值得注意的是，所提出的时变可靠性分析方法只需要一轮试验设计，而不是像一阶可靠性方法那样重复运行运动学模型。为机构的运动可靠性分析提供了一种有效的仿真工具。
The paper presents an effective surrogate model for system reliability analysis of mechanisms based on an extreme-value kinematic error model and the Kriging approximation. In this regard, two types of kinematic reliability problems are considered, i.e., the system reliability that requires the kinematic error remains within an accuracy threshold along an entire output trajectory, whereas the time-dependent reliability accounts for gradually propagated system failure domain due to the varied pseudo-time parameter from its beginning to the current realization. Both kinematic reliability problems need to evaluate the extreme-valued error function presented in the mixture of absolute and maximum operators. By contrast, the simple position-based error function allows developing accurate surrogate models with a rather small number of training samples. Therefore, an approximation model was proposed to deal with kinematic reliability problems of steering mechanisms. Compared to available reliability methods in the literature, results have demonstrated high accuracy of the proposed method for various kinematic reliability problems. Note that the proposed method for time-dependent reliability analysis requires only one round of design of experiment, rather than repeatedly running the kinematic model like the first-order reliability method. It therefore provides an effective simulation tool for kinematic reliability analysis of mechanisms.
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影响因子：
5.8
作者：
Xufang Zhang;M. Pandey
通讯作者：
Xufang Zhang;M. Pandey
影响因子：
3.3
作者：
Zhen Hu;S. Mahadevan
通讯作者：
Zhen Hu;S. Mahadevan
DOI：
10.1115/1.4008225
发表时间：
1959-02
期刊：
Journal of Engineering for Industry
影响因子：
--
作者：
W. A. Wolfe
通讯作者：
W. A. Wolfe
影响因子：
3.3
作者：
G. Savage;Y. Son
通讯作者：
G. Savage;Y. Son
DOI：
10.1016/j.ress.2013.10.010
发表时间：
2014-03
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
W. Fauriat;N. Gayton
通讯作者：
W. Fauriat;N. Gayton