Verification of the conventional measuring uncertainty evaluation model with Monte Carlo simulation

Abstract

Calibration of gauge blocks by mechanical comparison is widely used for assuring traceability of industrial measurements for the physical quantity "length".In order to diminish uncertainty of calibration, we shall control all influence parameters very precisely.We must be able to predict intervals of changes of these parameters in short and long term intervals and include those changes in the uncertainty budget.Mathematical model of measurement is used for calculating standard uncertainty of the output value (calibration result) from the uncertainties of the input (influence) quantities.However, this calculation is reliable only if the uncertainties of the influence quantities are evaluated accurately.Therefore, we decided to verify the uncertainty calculations from the past by Monte Carlo simulation, which are also proposed by the new draft of the Guide to the Expression Uncertainty in Measurement (GUM).The approach and the results of this verification are presented in the article.

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