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作 者:时海涛 苏智剑[1] SHI Haitao;SU Zhijian(School of Mechanical Engineering,Zhengzhou University,Zhengzhou 450001,China)
出 处:《机械制造与自动化》2020年第3期53-56,共4页Machine Building & Automation
摘 要:针对齿轮测量数据中存在异常值的问题,分别对异常值的4种常用准则进行了对比分析;设计了异常值剔除系统,结合齿轮测量系统所测得的齿轮数据,选用相应的判定准则,对齿轮测量数据进行快速高效的异常值剔除处理。通过实验分析,给出了齿轮测量数据预处理需要遵循的原则。研究结果表明,当对齿轮测量数据进行粗大误差剔除时,需要结合实际情况对4种准则综合运用,以达到所得数据的科学性和合理性,对齿轮误差的后续处理做出科学的预处理。For the outliers existing in gear measurement data,the four criteria commonly used for the outliers are compared and analyzed.The outlier elimination system is designed with the gear data measured by the gear measurement system.The corresponding determination criteria are selected to perform fast and efficient outlier elimination processing on the gear measurement data.Through the experimental analysis,the principles that need to be followed in the preprocessing of gear measurement data are given.Because the gear measurement is a necessary work,the measurement data is to be precise,and the experimental results obtained by the four criteria are carefully studied and analyzed.The results of the analysis show that when the gear measurement data is grossly eliminated,it is necessary to comprehensively use the four criteria with the actual situation to achieve the science and rationality of the obtained data,and to make a scientific pretreatment for the subsequent analysis and processing of the gear error.
分 类 号:TH132.41[机械工程—机械制造及自动化]
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