DETERMINATION OF TEMPERATURE PROBABILITY DISTRIBUTION IN MEASUREMENT UNCERTAINTY

摘要

Temperature is one of the uncertainty sources in precision dimensional measurement. It is better to be evaluated by a Type B evaluation instead of a Type A evaluation, since the latter takes times and costs. A probability density function of temperature change is derived by mathematical model. Simulated data and statistical graphic analysis are used to verify the temperature probability distribution by goodness-fitting test. Results show that it has high confidence in the evaluation of the temperature uncertainty to be represented by a U-shaped distribution.