Prediction of used lubricating oils properties by infrared spectroscopy using multivariate analysis (CROSBI ID 185810)
Prilog u časopisu | izvorni znanstveni rad
Podaci o odgovornosti
Marinović, Slavica ; Jukić, Ante ; Doležal, Dubravka ; Špehar, Branka ; Krištović, Marko
hrvatski
Prediction of used lubricating oils properties by infrared spectroscopy using multivariate analysis
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.
used lubricating oil; prediction of properties; infrared spectroscopy; multivariate analysis; partial least squares regression; density; viscosity; pour point
nije evidentirano
engleski
Prediction of used lubricating oils properties by infrared spectroscopy using multivariate analysis
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.
used lubricating oil; prediction of properties; infrared spectroscopy; multivariate analysis; partial least squares regression; density; viscosity; pour point
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
