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Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection |
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| Authors: | M rcio Jos Coelho Pontes, Alexandre Magno Jos Rocha, Maria Fernanda Pimentel,Claudete Fernandes Pereira |
| Affiliation: | a Universidade Federal Rural de Pernambuco, Departamento de Química, Recife, PE, Brazil;b Universidade Federal de Pernambuco, Departamento de Engenharia Química, Recife PE, Brazil;c Universidade Federal da Paraíba, Departamento de Química, João Pessoa, PB, Brazil |
| Abstract: | This study presents an analytical method for determining interfacial tension and relative density in insulating oils using near infrared spectrometry (NIR). Five different strategies of regression were evaluated: partial least squares (PLS) with significant regression coefficients selected by jack-knife algorithm; interval PLS (iPLS); multiple linear regression (MLR) with variable selection by genetic algorithm (MLR/GA), successive projections algorithm (MLR/SPA) and stepwise strategy (SR/MLR). The overall results point to MLR/SPA as the best modeling strategy. The strategy is simpler and uses fewer spectral variables. |
| Keywords: | Insulating oils Near infrared spectrometry Interfacial tension Relative density Interval partial least squares Successive projections algorithm Genetic algorithm Stepwise strategy Multiple linear regression |
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