Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82896
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dc.contributor.authorLuo, Guominen
dc.contributor.authorZhang, Damingen
dc.contributor.authorTseng, King Jeten
dc.contributor.authorHe, Jinghanen
dc.date.accessioned2016-04-07T08:18:25Zen
dc.date.accessioned2019-12-06T15:07:45Z-
dc.date.available2016-04-07T08:18:25Zen
dc.date.available2019-12-06T15:07:45Z-
dc.date.issued2016en
dc.identifier.citationLuo, G., Zhang, D., Tseng, K. J., & He, J. (2016). Impulsive noise reduction for transient Earth voltage-based partial discharge using Wavelet-entropy. IET Science, Measurement & Technology, 10(1), 69-76.en
dc.identifier.issn1751-8822en
dc.identifier.urihttps://hdl.handle.net/10356/82896-
dc.description.abstractPartial discharge (PD) is caused by the localized electrical field intensification in insulating materials. Early detection and accurate measurement of PD are very important for preventing premature failure of the insulating material. Detection of PDs in metal-clad apparatus through the Transient Earth Voltage (TEV) method is a promising approach in non-intrusive on-line tests. However, the electrical interference from background environment remains the major barrier to improving its measurement accuracy. In this paper, a wavelet-entropy-based PD de-noising method has been proposed. The unique features of PD are characterized by combining wavelet analysis that reveals the local features and entropy that measures the disorder. With such features, a feed-forward back-propagation Artificial Neural Network (ANN) is adopted to recognize the actual PDs from noisy background. Comparing with other methods such as the energy-based method and the similarity-comparing method, the proposed wavelet-entropy-based method is more effective in PD signal de-noising.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.format.extent26 p.en
dc.language.isoenen
dc.relation.ispartofseriesIET Science, Measurement & Technologyen
dc.rights© 2016 Institution of Engineering and Technology (IET). This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)en
dc.subjectSignal denoisingen
dc.titleImpulsive noise reduction for transient Earth voltage-based partial discharge using Wavelet-entropyen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1049/iet-smt.2014.0203en
dc.description.versionPublished versionen
item.grantfulltextopen-
item.fulltextWith Fulltext-
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