Abstract—Measurement uncertainty is one of the most
important concepts. The ISO IEC 17025:2005 standard:
describes harmonized policies and procedures for testing and
calibration laboratories. Guide to the expression of uncertainty
in measurement (GUM) is a direct uncertainty analysis method,
which calculates the combined standard uncertainty and
expanded uncertainty by law of propagation of uncertainty.
Monte Carlo Method (MCM) as presented by the (GUM S1)
involves the propagation of the distributions of the input sources
of uncertainty by using a model to provide the distribution of
the output. By random sampling, the probability density
function of the input quantities. In this paper, present
measurement uncertainty to circular runout error. By use shaft
standard with a diameter of 32 mm., length 100 mm. From the
experiment results, Comparison of GUM and MCM showed no
differences. The cases the estimated uncertainty using the GUM
approach slightly overestimated the results obtained with the
MCM. However, the use of numerical methods such MCM as a
valuable alternative to the GUM approach. The practical use of
MCM it has proven to be a fundamental tool, being able to
address more complex measurement problems that were limited
by the GUM approximations.
Index Terms—Circular runout error, Guide to the expression of Uncertainty in Measurement (GUM), Monte Carlo Method (MCM), measurement uncertainty.
Pornpawit Ounjutturaporn, Ramil Kesvarakul, Pipitanon Poonsawat are with the Department of Production Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand (email: Pornpawit.boom@gmail.com, Ramil.k@eng.kmutnb.ac.th, Pipitanon.p@eng.kmutnb.ac.th).
Khompee Limpadapun is with the School of Engineering, Eastern Asia University, Thailand (e-mail: Khompee.lim@gmail.com).
Cite: Pornpawit Ounjutturaporn, Ramil Kesvarakul, Pipitanon Poonsawat, and Khompee Limpadapun, "Comparison of GUM and Monte Carlo Methods for the Measurement Uncertainty Circular Runout Error of Shafts," International Journal of Engineering and Technology vol. 14, no. 3, pp. 38-42, 2022.
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