Application of Monte Carlo Method in the Measurement Uncertainty Estimation Technology in next Generation of GPS

Author:

Zhang Ya1,Jia Chun Yang1

Affiliation:

1. Zhejiang Industry Polytechnic College

Abstract

Next generation of Geometrical Product Specifications (GPS) is the foundation of the technology standards and metrology specifications of mechanical and electric products. GPS estimation of measurement uncertainty can improve the reliability of the verification result. In the indirect measurement, the transfer characteristic is very complex. So, it is very difficult to estimate the uncertainty in the indirect measurements according to the transfer formula given by GUM. For the indirect measuring of an inside cone angle, the mathematical relation between the measurand and measurement results is established firstly. Then Monte Carlo method was adopted to conduct the sampling and synthesis of measurement uncertainty contributors. At last, the measurement method was evaluated and improved according to Procedure for Uncertainty Management. Experimental result shows that Monte Carlo Simulation method has a good application foreground in the uncertainty estimation and measurement program design.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

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2. Wang Jinxing. Uncertainty theory and its application in the improved Geometrical Product Specifications (GPS) [D]. Huazhong University of Science and Technology, (2006).

3. Defen Zhang, Paul G. Maropoulos, Martyn Hill. Random uncertainty propagation in estimates of ball parameters from coordinate measurements, international journal of machine tools &manufacture [J], Volume 46, Issues 12-13, October 2006, Pages 1362-1368.

4. Lu Jishen. Measurement Uncertainty Estimation in different processes, industrial measurement, Volume 15, Issues 2, 2005, Pages 44-46.

5. Ding Zhenliang. Errors and data processing, [M], Harbin: Harbin Institute of Technology Press, 2002, 5.

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