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Fuels and lubricants : journal for tribology, lubrication, application of liquid and gaseous fuels and combustion engineering, Vol. 51 No. 3, 2012.

Original scientific paper

PREDICTION OF USED LUBRICATING OILS PROPERTIES BY INFRARED SPECTROSCOPY USING MULTIVARIATE ANALYSIS

Slavica Marinović orcid id orcid.org/0000-0001-9256-4142 ; INA d.d.
Ante Jukić ; Sveučilište u Zagrebu, Fakultet kemijskog inženjersva i tehnologije
Dubravka Doležal ; INA d.d.
Branka Špehar ; INA d.d.
Marko Krištović ; INA d.d.

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Abstract

Infrared spectroscopy (IR) in combination with partial least squares regression (PLS) algorithm was applied to develop calibration models for rapid and accurate simultaneous determination of the properties of used lubricating oils: density, viscosity, and pour point. Training sets were composed of hundred used lubricating oil samples. PLS calibration models for each property have been developed by using IR transmission spectra without spectral pretreatment. Cross validation technique was applied for validating models. The PLS models showed very good correlation with corresponding reference methods. Results indicated PLS models based on infrared spectra as practical and reliable analytical methods for routine monitoring of used lubricating oil.

Keywords

used lubricating oil; prediction of properties; infrared spectroscopy; multivariate analysis; partial least squares regression; density; viscosity; pour point

Hrčak ID:

89606

URI

https://hrcak.srce.hr/89606

Publication date:

16.10.2012.

Article data in other languages: croatian

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