Zugriffsnummer 23985
Dokumenttyp Konferenzartikel
Sprache Englisch
Titel Uncertainty calculation of roundness by automatic differentiation
Autor(in); Institution
Jiachun, Lin; Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing, CHINA
Krystek, Michael; 5, Fertigungsmesstechnik, PTB-Braunschweig
Zhaoyao, Shi; Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing, CHINA
Quelle/Jahr The 9th International Symposium on Measurement Technology and Intelligent Instruments: 2 (2009), 2-193 - 2-197
Availability [CD-ROM] ; file name: Volume 2\\4_39.pdf
Verlag Saint-Petersburg: D.S. Rozhdestvensky Optical Society
Konferenzangaben ISMTII 2009, Saint-Petersburg, 29, June - 02, July, 2009, Russia
Freie Schlagworte Measurement uncertainty ; roundness ; automatic differentiation
Zusammenfassung According to the Guide to the Expression of Uncertainty in Measurement (GUM), all measurement results must have a stated uncertainty associated to them. But in most cases of roundness measurement either no uncertainty value is given, or the calculation is not based on the model of the respective association criterion for the geometrical feature, because no suitable measurement uncertainty calculation procedure does exist. For the case of roundness measurement in coordinate metrology, this paper will suggest algorithms for the calculation of the measurement uncertainty of the roundness deviation based on the two mainly used association criteria LSC and MZC. The calculation of the sensitivity coefficients for the uncertainty calculation can be done by automatic differentiation, in order to avoid to introduce additional errors by the traditional difference quotient approximations. The proposed methods are exact and need as input data only the measured co-ordinates of the data points and their associated uncertainties.

Zitierung

Jiachun, L., Krystek, M., & Zhaoyao, S. (2009). Uncertainty calculation of roundness by automatic differentiation. ISMTII 2009, Saint-Petersburg, 29, June - 02, July, 2009, Russia.

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