With the example of calibrating a precision resistance thermometer at selected fix points of the temperature scale ITS 90, systematic modelling of a measurement for the evaluation of the measurement uncertainty is presented. Starting with the description of the measurement, the cause-and-effect relationships for the fictitious ideal and, in turn, the real measurement are systematically formulated. Inversion of the latter yields the so-called model equation that, together with the quantitative knowledge about all relevant result-influencing quantities and parameters, serves to compute the measurement uncertainty.
Print ISSN: 0171-8096
Volume: 74, 10/2007
Pages: 514 - 520