This study proposes a new method to estimate the concentration of the furfural contained in the insulating oil of oil-filled transformer based on infrared spectroscopic spectrum of the insulating oil. In this study, first, spectrometry is carried out on the insulating oil collected and prepared by on-site sampling, accelerated aging test, and mixing and stirring. Second, selected explanatory variable from correlation coefficient between absorbance and furfural content in the oil. Finally, furfural content was estimated by PLS regression using various wavenumber patterns, and the results were compared to verify what kind of wavenumber pattern is useful.
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