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作 者:王延忠[1] 于祥云 孟祥文 窦德龙 WANG Yanzhong;YU Xiangyun;MENG Xiangwen;DOU Delong(School of Mechanical Engineering and Automation,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)
机构地区:[1]北京航空航天大学机械工程与自动化学院,北京100191
出 处:《机床与液压》2023年第9期70-75,共6页Machine Tool & Hydraulics
基 金:国防科工局技术基础科研项目(JSZL2020XXA001)。
摘 要:针对某弹自动化装配过程中的质量相互影响关系进行探讨。对数据进行类型划分,对装配过程中的连续性变量进行Pearson相关性分析并利用灰色关联分析法进行对比验证;对离散型变量进行列联分析并利用对应分析图进行相关性的直观展示。通过装配过程数据的关联分析结果,应对上游工序指标B1和m1进行改善,从而较大程度提升下游工序B2的质量,对关键工序h,可以通过对零部件批次的严格把控和装配工人的指导培训以得到更为显著的装配质量提升效果。最后,设计了相关性分析软件,为采集手段提升、前后对比验证、数据融合分析奠定基础。The quality interaction relationship in the automatic assembly process of a missile was discussed.The data were divided into types,the continuous variables in the assembly process were analyzed by Pearson correlation,and the grey correlation analysis method was used for comparison and verification.The contingency analysis of discrete variables was carried out,and the correlation was visually displayed by using the corresponding analysis diagram.Then,through the correlation analysis results of the assembly process data,the upstream process indicators B 1 and m 1 should be improved,so as to greatly improve the quality of the downstream process B 2.For the key process h,a more significant assembly quality improvement effect could be obtained through the strict control of the parts batch and the guidance and training to the assembly workers.Finally,the correlation analysis software was designed to lay the foundation for the improvement of acquisition means,comparison and verification before and after,and data fusion analysis.
关 键 词:自动化装配 装配质量 Pearson相关性分析 列联分析
分 类 号:TH161[机械工程—机械制造及自动化]
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