MATEC Web of Conferences (Jan 2018)

An investigation of Outlier Detection Procedures for CMM Measurement Data

  • Chelishchev Petr,
  • Popov Aleksandr,
  • Sørby Knut

DOI
https://doi.org/10.1051/matecconf/201822004002
Journal volume & issue
Vol. 220
p. 04002

Abstract

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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.