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Comparison between GUM, Monte Carlo and bayesian uncertainty evaluation approaches for an areal surface texture measuring instrument.

Giusca, C L; Forbes, A B; Leach, R K (2009) Comparison between GUM, Monte Carlo and bayesian uncertainty evaluation approaches for an areal surface texture measuring instrument. In: 14th International Congress of Metrology, 22-25 June 2009, Paris.

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Abstract

The National Physical Laboratory (NPL) has recently developed a traceable areal surface texture instrument. The instrument uses a stylus probe and laser interferometric measurements from which to infer the relative position of points on a surface. This paper compares three methods of estimating the uncertainties associated with NPL's Areal Instrument. The first is the ISO GUM approach and the second is the Monte Carlo approach. Both the GUM and standard Monte Carlo approaches attempt to explain the likely variation of the estimated point coordinates due to the influence factors - a type of forward uncertainty evaluation. The third, Bayesian, approach considers the inverse uncertainty problem: given the observed point coordinate measured values, what can be said about the `true' point coordinates. It is shown that the three methods differ significantly only in evaluating uncertainties arising from alignment influence factors.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Keywords: surface texture, measurement uncertainty
Subjects: Engineering Measurements
Engineering Measurements > Dimensional
Last Modified: 02 Feb 2018 13:15
URI: http://eprintspublications.npl.co.uk/id/eprint/4461

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