Change in concentrations of antioxidants and paramagnetic centers during aging of petroleum transformer oils

Kamenchuk, Ya. A.; Pisareva, S. I.

doi:10.1134/s0965544106050112

Cited by 6 publications

(2 citation statements)

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“…For instance, Deepa et al [ 16 ] uses multidimensional fluorescence techniques like synchronous fluorescence spectroscopy (SFS) and excitation emission matrix fluorescence (EEMF) to determine the unique characteristic of degraded transformer oil in the spectrum. Kamenchuk et al [ 17 ] have also applied nuclear magnetic resonance (NMR) in determining the chemical composition of the degraded oils. To provide complementary interpretations and full product description, Godinho et al [ 18 ] combined data from three different optical sensing techniques, which are the near-infrared (NIR), EEMF, and NMR spectroscopy, to evaluate the quality of the transformer oil.…”

Section: Introductionmentioning

confidence: 99%

“…To assess the degradation level of transformer oil using optical sensing techniques, researchers either determines the special characteristic of degraded transformer oil in the spectrum [ 16 ], or the change in concentration of certain content in transformer oil, such as inhibitor content [ 17 ] and furanic compounds [ 18 ], or the change in properties of transformer oil such as interfacial tension [ 20 ]. The color of the transformer oil can also be used to assess the degradation level of the transformer oil [ 7 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil

Leong

Ker

Jamaludin

et al. 2018

Sensors

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Monitoring the condition of transformer oil is considered to be one of the preventive maintenance measures and it is very critical in ensuring the safety as well as optimal performance of the equipment. Various oil properties and contents in oil can be monitored such as acidity, furanic compounds and color. The current method is used to determine the color index (CI) of transformer oil produces an error of 0.5 in measurement, has high risk of human handling error, additional expense such as sampling and transportations, and limited samples can be measured per day due to safety and health reasons. Therefore, this work proposes the determination of CI of transformer oil using ultraviolet-to-visible (UV-Vis) spectroscopy. Results show a good correlation between the CI of transformer oil and the absorbance spectral responses of oils from 300 nm to 700 nm. Modeled equations were developed to relate the CI of the oil with the cutoff wavelength and absorbance, and with the area under the curve from 360 nm to 600 nm. These equations were verified with another set of oil samples. The equation that describes the relationship between cutoff wavelength, absorbance and CI of the oil shows higher accuracy with root mean square error (RMSE) of 0.1961.

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Section: Introductionmentioning

confidence: 99%