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  • 标题:An investigation of Outlier Detection Procedures for CMM Measurement Data
  • 本地全文:下载
  • 作者:Chelishchev Petr ; Popov Aleksandr ; Sørby Knut
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:220
  • DOI:10.1051/matecconf/201822004002
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
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