PROJECT TITLE :

A new technique to measure interfacial tension of transformer oil using UV-Vis spectroscopy

ABSTRACT:

Interfacial tension (IFT) and acid numbers of insulating oil are correlated with the amount of years that a transformer has been in service and are used as a signal for transformer oil reclamation. Oil sampling for IFT measurement calls for additional precautions due to its high sensitivity to numerous oil parameters and environmental conditions. This used technique to live IFT of transformer oil is comparatively expensive, needs an expert to conduct the take a look at and it takes while since the extraction of oil sample, sending it to external laboratory and obtaining the results back. This paper introduces a brand new technique to estimate the IFT of transformer oil using ultraviolet-to-visible (UV-Vis) spectroscopy. UV-Vis spectral response of transformer oil will be measured instantly with relatively cheap equipment, will not need an expert person to conduct the take a look at and has the potential to be implemented on-line. Results show that there's a good correlation between oil spectral response and its IFT value. Artificial neural network (ANN) approach is proposed to model this correlation.