engleski

ESTIMATION OF PRESSURE BALANCE EFFECTIVE AREA UNCERTAINTY BY ISO GUM APPROACH AND MONTE CARLO SIMULATION

Recently, the Monte Carlo simulations (MCS) have been increasingly applied to estimations of measurement uncertainties for many physical quantities. This paper describes and directly compares two methods for estimation of measurement uncertainty in calibration of pressure balance effective area: ISO GUM approach and Monte Carlo simulation. Both methods are used in Croatian national pressure laboratory-Laboratory for Process Measurement (LPM) at Faculty for Mechanical Engineering and Naval Architecture. MCS is used for validation of the measurement uncertainties estimated by the GUM method. In MCS method, the probability density functions of the output values have been obtained by the convolution of distributions of input values with M=100000 simulations. Both approaches have been based on the same set of the cross-float calibration data. The scope of the procedure is illustrated by calibration example (oil-operated pressure balance, gauge pressure range up to 60 Mpa). Effective area calibration results and effective area uncertainty budgets obtained by both methods for one calibration point are given. The MCS and ISO GUM obtained uncertainties are in good agreement.

pressure measurement uncertainties; ISO-GUM; Monte Carlo

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