USE OF MULTIVARIATE STATISTICAL TOOL FOR DATA PROCESSING IN THE ANALYSIS OF Cu, Cr, Fe, Pb, Mo AND Mg IN LUBRICATING OIL BY LIBS

摘要

Analysis of industrial lubricants is widely used for monitoring and predicting maintenance requirements in a broad range of mechanical systems. Laser induced breakdown spectroscopy has been used to evaluate the potentiality of the technique for the determination of metals in lubricating oils. Prior to quantitative analysis, the LIBS system was calibrated using standard samples containing the elements investigated (Cu, Cr, Fe, Pb, Mo and Mg). This study presents the usefulness of multivariate statistical techniques for evaluation and interpretation of large complex data sets in order to get more information about concentration of metals in oils lubricants is related to engine wear.