PRINCIPAL COMPONENT ANALYSIS AS AN ALTERNATIVE ALGORITHM FOR PROCESSING DATA OF THERMOCATALYTIC SENSOR

In this article the study of the possibility and evaluation of the use of the principal component analisys as an alternative algorithm for processing data of thermocatalytic sensors is carried out. Based on the obtained results it was found that the effect of the sensor's operating temperature on the response is minimal, which makes it possible to combine them into a single system. At the same time the different concentration of the supplied gas is uniquely determined. The research methodology is defined and the results are presented, showing that the principal component analysis makes it possible to distinguish sensor responses at different concentrations without using additional mathematical operations to prepare the obtained data.