锻压技术

基于人工神经网络的运动机构可靠性灵敏度分析

英文标题：Reliability sensitivity analysis on motion mechanism based on artificial neural network

单位：西安航空学院

分类号：V19；TB114.3

出版年,卷(期):页码：2019,44(8):182-188

摘要：

针对运动机构在设计、制造、装配等过程中杆件尺寸及装配位置的不确定性对运动精度的影响，研究了一种基于神经网络的运动机构可靠性灵敏度的分析方法。该方法基于人工神经网络，通过较小的样本量构造出运动机构的功能函数，进而推导其可靠性计算公式，在此基础上结合全局灵敏度分析，推导出运动机构的可靠性灵敏度计算方法，求出随机变量对运动机构可靠性的贡献，即可靠性灵敏度一阶指标、二阶指标、高阶指标和总指标。最后，将研究方法应用于四连杆运动机构与某型航空冲压机床运动机构的分析，研究结果表明该方法可甄别出随机变量对运动机构可靠性的贡献情况，通过该结果可以有效地提高运动机构的可靠性和稳健性，具有较高地工程应用价值，也可为其他机构设计提供理论指导。

The influence of the uncertainty of linkage dimension and assembly position on the motion accuracy was considered during the design, manufacture and assembly processes of the motion mechanism, and a reliability sensitivity analysis method of motion mechanism based on the artificial neural network was studied. Based on the artificial neural network, the function of motion mechanism was constructed by small samples, and its reliability calculation formula was deduced. Then, combing with the global sensitivity analysis, the reliability sensitivity calculation method of the motion mechanism was derived, and the contribution of random variables to the reliability of motion mechanism was obtained, that is, the firstorder index, second-order index, high-order index and total index of the reliability sensitivity. Finally, the fourbar linkage motion mechanism and aeronautical stamping machine motion mechanism were analyzed by the proposed method. The results show that the researched method can identify the contribution of random variables to the reliability of motion mechanism, and the reliability and robustness of motion mechanism can be improved, which has not only higher engineering application value but also provides theoretical guidance for the other mechanism design.

基金项目：

陕西省教育厅科研计划项目 (18JK0410)；西安航空学院校级基金项目(2019KY1230)；西安航空学院校级基金项目(2015KY1215)

作者简介：唐成虎（1991-），男，硕士，助教 E-mail：chenghutang@126.com

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