The possibilities of optimization the processing algorithm of turbine gas meters measuring data using uncertainty theory were observed. There were calculated standard uncertainties of main sources using the results of experimental data. Experiment was held using test installation of turbine gas meters. There was developed a calibration methodology for turbine gas meters, which sets out a concept evaluation of the error’s random component of turbine meters by taking into account the type of distribution law. It is shown that the use of developed methods makes it possible to significantly improve the expanded uncertainty.
uncertainty, test installation, turbine gas meter