Flow meter calibration using the master meter method This example demonstrates the calibration of a gas flow measuring instrument by the so-called “master meter” method, i.e. by comparing the measured flow on a master meter (reference standard) and the measured flow on the device under test. Files contained in dataset are: Flow_meter_calibration_using_the_master_meter_method.pdf RMG11_ExampleSAGAS.tex: LaTeX file to be compiled in order to produce Flow_meter_calibration_using_the_master_meter_method.pdf, EMPIR.jpg: figure file, EMUELogo-03.jpg: figure file, SAGAS1.png: figure file, SAGASGUMandMCM.jpg: figure file, RMG11.bib: bibliography file, GUM_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following the GUM principle, GUMSupp1_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following GUM Supplement 1 principle (Monte Carlo method), InputData.mat: MATLAB function for input data, MainScript.mat: Model developed in MATLAB that calculates estimated gas flow error and the associated measurement uncertainty (GUM and Monte Carlo method). This file that uses MATLAB functions (developed for this example): SetFormattingSymbols, InputData, GUM_SAGAS, GUMSupp1_SAGAS, Results, PlotGUMAndMCM_SAGAS, PlotGUMAndMCM_SAGAS.mat: MATLAB function for plotting the results, Results.mat: MATLAB function for displaying the results, SetFormatingSymbols.mat: MATLAB function for setting formatting symbols.

In the "Flow_meter_calibration_using_the_master_meter_method.pdf" Table 1 and Table 2 the data on flow, pressure, temperature and similar can be found. These data can serve as additional input data when running the program MainScript.mat. Since all the .mat files except MainScript.mat are MATLAB functions necessary for running the MainScript, all of them including MainScript should be located in one folder when running the program.