Work

Indirect approach for measurement of main physico-chemical parameters of engine oils using optical methods

Year: 2025

Type: conference-paper

Abstract: The article presents an indirect approach for measuring two main physicochemical parameters – kinematic viscosity and total alkalinity of motor oils based on digital analysis of oil images and regression models containing the color features of their images, which were developed based on reference values obtained from laboratory analysis. Two types of oils with viscosity class – XW-30 and XW-40 – were analyzed. Ten regression models were developed, which were estimated using the two errors RMSE and MAE. The smallest average values of RMSE and MAE are obtained when the images are captured under homogeneous illumination without external light. For viscosity measurement with the highest R2, the regression models are linear SVM and fine tree, and for total alkalinity – stepwise regression and fine tree.

Source: E3S Web of Conferences

DOI: 10.1051/e3sconf/202563803004

Authors: Tsvetelina Georgieva, Eleonora Nedelcheva, Stanislav Penchev, Albena Ivanova-Vasileva, Plamen Daskalov

Institution: Angel Kanchev University of Ruse

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: diamond

Funder: European Commission

Award: G1562245063