Computer processing of IR spectroscopy data of lubricant oils in the Table Curve 2d program
A.S. Kuznetsov, N.Yu. Razyapova, S.V. Razlivinskaya
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Abstract. This scientific article examines in detail issues related to computer processing and interpretation of the results of IR spectroscopy of lubricating oils. The experimental data obtained during the recording of spectral graphic characteristics of lubricating oils were subjected to further digitization and computer processing to reduce the noise level of the signals and create a mathematical description. A formalized description of the experimental data of IR spectroscopy has been created based on mathematical models that are nonlinear with respect to the parameters, based on the processes of their structural and parametric identification and the consistent synthesis of quantitative relationships between intensity and wave number. Using the modern software package Table Curve 2d, computer processing of experimental data and their visualization was carried out. The main quantitative criteria for the quality of mathematical models are calculated: standard error, Fisher criterion, coefficient of determination R2. The calculated quality criteria are summarized in tables. Next, the models were ranked according to the calculated values of the quality criteria. The coefficient of determination R2 was used as the main quantitative ranking indicator.Visualization of experimental data and models of their formalization was performed. The results of calculation of the main statistical indicators, including the values of confidence intervals, are presented. The main quantitative indicators of interpretation of IR spectral data are considered. A “synthesis” and computer visualization of a differential curve characterizing the rate of the process was carried out. This indicator can be considered as an additional aspect of the quantitative interpretation of IR spectrograms of lubricating oils. The scientific research methodology is based on the analysis of scientific data, comparative analysis, data synthesis, and graphic interpretation. The result of this research is the creation of a formalized description of IR spectroscopy of lubricating oils based on nonlinear mathematical models obtained through the use of computer methods for processing IR spectra and modern software products.The work also identifies development prospects and reviews research in this area.
Keywords: computer processing, IR spectrum, lubricat oils, software product, mathematical model, mathematical description
For citation. Kuznetsov A.S., Razyapova N.Yu., Razlivinskaya S.V. Computer processing of IR spectroscopy data of lubricant oils in the Table Curve 2d program. News of the Kabardino-Balkarian Scientific Center of RAS. 2024. Vol. 26. No. 2. Pp. 44–52. DOI: 10.35330/1991-6639-2024-26-2-44-52
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Information about the authors
Andrey S. Kuznetsov, Candidate of Technical Sciences, Associate Professor of the Department of Information Technologies, Artificial Intelligence and Social Technologies of Digital Society, Russian
State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 building;
askgoogle@internet.ru, ORCID: https://orcid.org/0000-0003-1569-4765, SPIN-code: 8442-7210
Nelya Yu. Razyapova, Candidate of Technical Sciences, Associate Professor of the Department of Information Systems in Chemical Technology, MIREA – Russian Technological University;
119571, Russia, Moscow, 78 Vernadsky avenue;
razyapova@mirea.ru, ORCID: https://orcid.org/0000-0001-6413-4460
Svetlana V. Razlivinskaya, Candidate of Technical Sciences, Associate Professor of the Department of Information Systems in Chemical Technology, MIREA – Russian Technological University;
119571, Russia, Moscow, 78 Vernadsky avenue;
razlivinskaya@mirea.ru, ORCID: https://orcid.org/0000-0002-7719-0530, SPIN-code: 6402-7221