Open Access
Issue
2013
16th International Congress of Metrology
Article Number 08003
Number of page(s) 5
Section Forme et Etat de surface / Surface texture and Form
DOI https://doi.org/10.1051/metrology/201308003
Published online 07 October 2013
  • BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, and OIML. Evaluation of measurement data - Guide to the expression of uncertainty in measurement. Joint Committee for Guides in Metrology, JCGM 100:2008. [Google Scholar]
  • BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, and OIML. Evaluation of measurement data | Supplement 2 to the \Guide to the expression of uncertainty in measurement" - extension to any number of output quantities. Joint Committee for Guides in Metrology, JCGM 101:2011. [Google Scholar]
  • M. G. Cox and P. M. Harris. SSfM Best Practice Guide No. 6, Uncertainty evaluation. Technical Report MS 6, National Physical Laboratory, Teddington, UK, 2010. [Google Scholar]
  • A. B. Forbes. Surface fitting taking into account uncertainty structure in coordinate data. Measurement Science and Technology, 17:553–558, 2006. [CrossRef] [Google Scholar]
  • A. B. Forbes. Uncertainty evaluation associated with fitting geometric surfaces to coordinate data. Metrologia, 43(4):S282-S290, August 2006. [Google Scholar]
  • A. B. Forbes. Parameter estimation based on least squares methods. In F. Pavese and A. B. Forbes, editors, Data modeling for metrology and testing in measurement science, pages 147-176, New York, 2009. Birkhäauser-Boston. [Google Scholar]
  • A. B. Forbes. Uncertainty associated with form assessment in coordinate metrology. Int. J. of Metrol. and Qual. Eng., 4:17–22, 2013. [CrossRef] [EDP Sciences] [Google Scholar]
  • G. H. Golub and C. F. Van Loan. Matrix Computations. John Hopkins University Press, Baltimore, third edition, 1996. [Google Scholar]
  • H. Kunzmann, E. Trapet, and F. Waldele. A uniform concept for calibration, acceptance test and periodic inspection of co-ordinate measuring machines using reference objects. Annals of the CIRP, 39:561–564, 1990. [CrossRef] [Google Scholar]
  • C. E. Rasmussen and C. K. I. Williams. Gaussian Processes for Machine Learning. MIT Press, Cambridge, Mass., 2006. [Google Scholar]
  • G. Zhang, R. Ouyang, B. Lu, R. Hocken, R. Veale, and A. Donmez. A displacement method for machine geometry calibration. Annals of the CIRP, 37:515–518, 1988. [CrossRef] [Google Scholar]