A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil

An ultraviolet-to-visible (UV-Vis) spectroscopic analysis based on the fuzzy-logic approach has been developed for furan content measurement in transformer oil. Following the successful identification and quantification of furan derivatives in transformer oil by the ASTM D 5837 standard, the new app...

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Main Authors: Abu-Siada, Ahmed, Lai, Sin, Islam, Syed
Format: Journal Article
Published: IEEE Power Engineering Society 2012
Online Access:http://hdl.handle.net/20.500.11937/18007
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author Abu-Siada, Ahmed
Lai, Sin
Islam, Syed
author_facet Abu-Siada, Ahmed
Lai, Sin
Islam, Syed
author_sort Abu-Siada, Ahmed
building Curtin Institutional Repository
collection Online Access
description An ultraviolet-to-visible (UV-Vis) spectroscopic analysis based on the fuzzy-logic approach has been developed for furan content measurement in transformer oil. Following the successful identification and quantification of furan derivatives in transformer oil by the ASTM D 5837 standard, the new approach is able to approximate the furan content with a more convenient and economical method. Since the furan concentration level would determine the absorption intensity in the UV-Vis spectral range, the fuzzy-logic software model developed would exploit this characteristic to aggregate the furans content level in transformer oil. The UV-Vis spectral response sensitivity to ambient temperature was also studied. The proposed technique provide a convenient alternative to conventional techniques, namely: high-performance liquid chromatography (HPLC) or gas chromatography-mass spectrometry (GC/MS) methods.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:23:51Z
publishDate 2012
publisher IEEE Power Engineering Society
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-180072017-09-13T15:42:43Z A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil Abu-Siada, Ahmed Lai, Sin Islam, Syed An ultraviolet-to-visible (UV-Vis) spectroscopic analysis based on the fuzzy-logic approach has been developed for furan content measurement in transformer oil. Following the successful identification and quantification of furan derivatives in transformer oil by the ASTM D 5837 standard, the new approach is able to approximate the furan content with a more convenient and economical method. Since the furan concentration level would determine the absorption intensity in the UV-Vis spectral range, the fuzzy-logic software model developed would exploit this characteristic to aggregate the furans content level in transformer oil. The UV-Vis spectral response sensitivity to ambient temperature was also studied. The proposed technique provide a convenient alternative to conventional techniques, namely: high-performance liquid chromatography (HPLC) or gas chromatography-mass spectrometry (GC/MS) methods. 2012 Journal Article http://hdl.handle.net/20.500.11937/18007 10.1109/TPWRD.2012.2186986 IEEE Power Engineering Society restricted
spellingShingle Abu-Siada, Ahmed
Lai, Sin
Islam, Syed
A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title_full A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title_fullStr A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title_full_unstemmed A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title_short A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
title_sort novel fuzzy-logic approach for furan estimation in transformer oil
url http://hdl.handle.net/20.500.11937/18007