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.