Monte Carlo Analysis as a Tool for Characterizing Uncertainty in Optical Calibration of End Standards

Abstract:

Article Preview

In this paper, Monte Carlo method (MCM) is used to analyze the uncertainty of optical calibration of end standards using both contact and non-contact techniques to validate the uncertainty values obtained by the conventional method, Guide to the expression of Uncertainty in Measurement (GUM). Number of trials (M=104) is simulated with the probability density function (pdf) for each quantity, and the comparison between the results of the MCM and the GUM shows good agreement which in turn validates the uncertainty values obtained by the conventional method. The statistical analysis, variables' distributions, and the output of each technique are discussed in detail.

Info:

Pages:

18-27

DOI:

10.4028/www.scientific.net/JERA.3.18

Citation:

N. Farid "Monte Carlo Analysis as a Tool for Characterizing Uncertainty in Optical Calibration of End Standards", International Journal of Engineering Research in Africa, Vol. 3, pp. 18-27, 2010

Online since:

November 2010

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.