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

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 an...

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Autores principales: Leong, Yang Sing, Ker, Pin Jern, Jamaludin, M. Z., M. Nomanbhay, Saifuddin, Ismail, Aiman, Abdullah, Fairuz, Looe, Hui Mun, Lo, Chin Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069396/
https://www.ncbi.nlm.nih.gov/pubmed/29986438
http://dx.doi.org/10.3390/s18072175
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author Leong, Yang Sing
Ker, Pin Jern
Jamaludin, M. Z.
M. Nomanbhay, Saifuddin
Ismail, Aiman
Abdullah, Fairuz
Looe, Hui Mun
Lo, Chin Kim
author_facet Leong, Yang Sing
Ker, Pin Jern
Jamaludin, M. Z.
M. Nomanbhay, Saifuddin
Ismail, Aiman
Abdullah, Fairuz
Looe, Hui Mun
Lo, Chin Kim
author_sort Leong, Yang Sing
collection PubMed
description 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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spelling pubmed-60693962018-08-07 UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil Leong, Yang Sing Ker, Pin Jern Jamaludin, M. Z. M. Nomanbhay, Saifuddin Ismail, Aiman Abdullah, Fairuz Looe, Hui Mun Lo, Chin Kim Sensors (Basel) Article 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. MDPI 2018-07-06 /pmc/articles/PMC6069396/ /pubmed/29986438 http://dx.doi.org/10.3390/s18072175 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Leong, Yang Sing
Ker, Pin Jern
Jamaludin, M. Z.
M. Nomanbhay, Saifuddin
Ismail, Aiman
Abdullah, Fairuz
Looe, Hui Mun
Lo, Chin Kim
UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title_full UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title_fullStr UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title_full_unstemmed UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title_short UV-Vis Spectroscopy: A New Approach for Assessing the Color Index of Transformer Insulating Oil
title_sort uv-vis spectroscopy: a new approach for assessing the color index of transformer insulating oil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069396/
https://www.ncbi.nlm.nih.gov/pubmed/29986438
http://dx.doi.org/10.3390/s18072175
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