Muelaner, J. E., Wang, Z., Martin, O., Jamshidi, J. and Maropoulos, P. G., 2010. Estimation of uncertainty in three-dimensional coordinate measurement by comparison with calibrated points. Measurement Science & Technology, 21 (2), 025106.
This paper details a method of estimating the uncertainty of dimensional measurement for a three dimensional coordinate measurement machine. An experimental procedure was developed to compare three dimensional coordinate measurements with calibrated reference points. The reference standard used to calibrate these reference points was a fringe counting interferometer with a multilateration like technique employed to establish three dimensional coordinates. This is an extension of the established technique of comparing measured lengths with calibrated lengths. Specifically a distributed coordinate measurement device was tested which consisted of a network of Rotary-Laser Automatic Theodolites (R-LATs), this system is known commercially as indoor GPS (iGPS). The method was found to be practical and was used to estimate that the uncertainty of measurement for the basic iGPS system is approximately 1 mm at a 95% confidence level.
|Item Type ||Articles|
|Creators||Muelaner, J. E., Wang, Z., Martin, O., Jamshidi, J. and Maropoulos, P. G.|
|Departments||Faculty of Engineering & Design > Mechanical Engineering|
|Research Centres||Innovative Design & Manufacturing Research Centre (IdMRC)|
|Publisher Statement||Estimation_of_Uncertainty_Muelaner.pdf: This is an author-created, un-copyedited version of an article accepted for publication in Measurement Science and Technology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at: http://dx.doi.org/10.1088/0957-0233/21/2/025106|
|Additional Information||Results given in this paper were obtained using the original Workspace software and a typical 4 transmitter setup. Further testing has shown that uncertainty may be reduced by using newer software versions, and more complicated configurations with more hardware.|
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