The aim of this paper was to describe the interdependencies between the surface areas of characteristic FTIR spectral bands, reflecting the amounts of chemical substances generated during oil deterioration in engine, and the mileage of the cars depending on the oil used. The tested engine oils were used in 12 similar vehicles operated in similar conditions and an attempt was made to describe the differences between the kinetics of changes in the groups of investigated oils and, likewise, to provide a possible explanation of their causes while examining the relationships between individual spectral bands. Based on the areas of spectral peaks, a mathematical model, characterizing engine oil deterioration: Y = β ₀ + β1 ·X + β2 ·X² + ε was developed. Based on the MOB algorithm, a total of 10 functional models describing the key chemical changes depending on the mileage were determined. The obtained findings suggest that the type of engine oil differentiates the changes in the surface area of the spectral band at the wavenumber 860 cm⁻¹, 1150 cm⁻¹, 1270 cm⁻¹ and 1710–1760 cm⁻¹, depending on the car mileage and using a given oil.

本文的目的是描述特征 FTIR 光谱带的表面积之间的相互依赖关系，反映发动机机油变质期间产生的化学物质的数量，以及取决于所用机油的汽车行驶里程。测试的发动机油用于 12 辆在类似条件下运行的类似车辆，并试图描述所研究的油组中变化动力学之间的差异，同样，在检查关系时提供对其原因的可能解释各个光谱带之间。基于光谱峰面积的数学模型，表征发动机机油变质： Y = β ₀ + β1 ·X + β2 ·X ² + ε 被开发。基于 MOB 算法，共确定了 10 个函数模型，描述了与里程有关的关键化学变化。获得的研究结果表明，发动机油的类型区分了波数 860 cm ^-1、1150 cm ^-1、1270 cm ^-1和 1710–1760 cm ^-1处光谱带表面积的变化，具体取决于汽车里程和使用给定的油。