Algorithms for data processing in gas analytical complexes with semiconductor sensors for detecting contaminants in rocket fuel components

In this paper, we describe the algorithms for processing data from semiconductor sensors that are part of the analytical means for controlling the vapors of rocket fuel components (RFC) in air, liquids, and solids. Data processing algorithms are designed for the quantitative analysis of individual components of RFC, as well as for the formation of information signs necessary for the classification of detected components. A method based on wavelet analysis, which allows to automatically distinguish a pure sample of the investigated gas from a sample containing impurities, impurities or additives is proposed.