Uncertainty evaluation for a three dimensional rotary measuring system by Markov chain Monte Carlo method

Bo Chen; Xiangchao Zhang; Hao Zhang; Xiaoying He; Min Xu

doi:10.1117/12.2035834

10 October 2013 Uncertainty evaluation for a three dimensional rotary measuring system by Markov chain Monte Carlo method

Bo Chen, Xiangchao Zhang, Hao Zhang, Xiaoying He, Min Xu

Author Affiliations +

Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 891621 (2013) https://doi.org/10.1117/12.2035834
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

Abstract

Uncertainty evaluation, which is an effort to set reasonable bounds for the measurement results, is important for assessing the performances of precision measuring systems. The three dimensional measurement is affected by a large number of error sources. The distributions of the primary error sources are analyzed in this paper. The multiple-try Metropolis (MTM) algorithm is applied for sampling and propagation of uncertainty for these error sources due to its advantage in dealing with large dimensional problems. The uncertainties of the three coordinates of a measured point on the workpiece r, z, and θ are evaluated before and after error separation, respectively. The differences between the two types of uncertainties are compared to find out the influence of the error separation to the uncertainty. Finally, numerical experiments are implemented to demonstrate the uncertainty assessment process.

Citation Download Citation

Bo Chen, Xiangchao Zhang, Hao Zhang, Xiaoying He, and Min Xu "Uncertainty evaluation for a three dimensional rotary measuring system by Markov chain Monte Carlo method", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 891621 (10 October 2013); https://doi.org/10.1117/12.2035834

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