Simulation analysis of uncertainty of infrared camera measurement and processing path

The paper deals with simulation analysis of uncertainty of the ThermaCAM 595 infrared camera measurement path and processing algorithm. The uncertainty of the processing algorithm is defined as the measure of the dispersion of the output random variable (the object temperature Tob) around its expected value. It was assumed that inputs of the measurement model are represented by random variables with given functions of the probability density. Further, it was assumed that there are no correlations between inputs. For the analysis purposes it was assumed that the uncertainty of the processing algorithm is modeled by the experimental standard deviation of the output random variable. There are presented results of simulated components of the processing algorithm compound standard uncertainty for two distances between the camera and the object. The results of analysis can be useful in the numerical modeling of temperature distributions.