Journal of the Brazilian Chemical Society
On-line version ISSN 1678-4790
BORIN, Alessandra and POPPI, Ronei Jesus. Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy. J. Braz. Chem. Soc. [online]. 2004, vol.15, n.4, pp.570-576. ISSN 1678-4790. http://dx.doi.org/10.1590/S0103-50532004000400020.
Multivariate quality control in conjunction with Fourier transform infrared Spectroscopy (FTIR) were used to qualitatively detect the class and the condition of lubricating oils. The multivariate approach was based on principal component analysis (PCA), first to classify the lubricating oil type (mineral, synthetic and semi-synthetic) and then to develop two control charts: a T2 chart using the most significant principal components and a Q chart with the PC not used in the first chart. From these two charts it was possible to identify oil samples, based on a viscosity parameter, which were out of the pattern normally present in utilizable lubricating oils.
Keywords : Fourier Transform Infrared Spectroscopy; lubricant control quality; Principal Component Analysis; multivariate control charts.