This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using multivariate statistical techniques. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various manufacturing and measurement processes to reduce the size of the multidimensional confidence interval.

Issue Section:
Research Papers
Topics:
Metrology, Geometry, Manufacturing
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