Title of article :
Discrimination of base oils and semi-products using principal component analysis and self organizing maps
Author/Authors :
Olejniczak، نويسنده , , A. and Chostenko، نويسنده , , A.G. and Fall، نويسنده , , J.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
1H NMR spectroscopy, combined with pattern recognition techniques (PCA and SOM) was used in discriminating base oils and refinery-intermediate products. Both PCA and SOM enabled correct oil discrimination into groups in accordance with API 1509. Moreover, information about the structural compositions of the samples, correlated with their physical and chemical properties, was provided. The PCA score plot enabled component identification and semiquantitative analysis of binary mixtures of base oils, including semisynthetic oils.
Keywords :
Base oils , Principal component analysis (PCA) , Self organizing map (SOM) , API classification