MATEC Web Conf.
Volume 220, 20182018 The 2nd International Conference on Mechanical, System and Control Engineering (ICMSC 2018)
|Number of page(s)||6|
|Section||Mechanical Engineering and Measurement Technology|
|Published online||29 October 2018|
An investigation of Outlier Detection Procedures for CMM Measurement Data
1 Department of Mechanical and Industrial Engineering, NTNU, NO-7491 Trondheim, Norway
2 Department of Mathematics, Baltic State Technical University, St. Petersburg, Russia
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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