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dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorLai, Sin
dc.contributor.authorIslam, Syed
dc.identifier.citationAbu-Siada, A. and Lai, S. and Islam, S. 2012. A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil. IEEE Transactions on Power Delivery. 27 (2): pp. 469-474.

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.

dc.publisherIEEE Power Engineering Society
dc.titleA Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Power Delivery
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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