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An investigation of Outlier Detection Procedures for CMM Measurement Data

机译:CMM测量数据离群检测程序的研究

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The paper analyses methods for outlier detection in dimensional measurement. The cross sections of an internal cylinder were inspected by CMM (coordinate measuring machine), and received data sets were employed for further investigation. The efficiency of Rosner’s and Grubbs’ methods for excluding outliers from the measuring data had been estimated. The method of Rosner had been defined as the most effective for this case study. The simulation results were confirmed by experimental verification.
机译:本文分析了尺寸测量中离群值检测的方法。通过CMM(坐标测量机)检查内筒的横截面,并将接收到的数据集用于进一步研究。估计了罗斯纳(Rosner)和格鲁布斯(Grubbs)从测量数据中排除异常值的方法的效率。 Rosner的方法已被定义为此案例研究中最有效的方法。仿真结果通过实验验证得到了证实。

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