Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy

Journal of the Brazilian Chemical Society

Alessandra Borin¹  Ronei Jesus Poppi¹ 

[1] ,Universidade Estadual de Campinas Instituto de Química Campinas SP ,Brazil

关键词: Fourier Transform Infrared Spectroscopy;    lubricant control quality;    Principal Component Analysis;    multivariate control charts;   

DOI  :  10.1590/S0103-50532004000400020

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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