The aim of this article is to present modern methods for analysing the performance of certified measuring instruments. The design of a system for analysing the performance of certified measuring instruments is presented. In the first part, the traditional process of certification of measuring instruments and methods of market surveillance are described. The other part proposes an electronic solution to support the certification process by supervising the correct operation of measuring instruments.

In this study, the uncertainty of measurement paths was estimated using selected statistical methods. Specifically, temperature measurements obtained from contact temperature sensors used in a heat transfer test section were investigated. The experiments utilized a drywell temperature calibrator, thermoelements (types K, J, N, and T), and a data acquisition station. Additionally, a certified Pt-100 resistance sensor connected to the temperature meter was considered during measurements. The temperature range for the selected measurement points was 0.3 to 100 °C, covering both increasing and decreasing temperatures. To calculate the expanded uncertainty, both the uncertainty propagation method and the Monte Carlo method were employed. The results were analyzed and found to be similar.