Publication:
Identification of different types of partial discharge sources from acoustic emission signals in the time-frequency representation

dc.citedby22
dc.contributor.authorChai M.L.en_US
dc.contributor.authorMd Thayoob Y.H.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorSha'ameri A.Z.en_US
dc.contributor.authorTalib M.A.en_US
dc.contributor.authorid24448195600en_US
dc.contributor.authorid6505876050en_US
dc.contributor.authorid55427760300en_US
dc.contributor.authorid6602299273en_US
dc.contributor.authorid36609320500en_US
dc.date.accessioned2023-12-28T08:57:35Z
dc.date.available2023-12-28T08:57:35Z
dc.date.issued2006
dc.description.abstractThe subject matter of this paper is to introduce the time-frequency representation in analyzing the acoustic emission signals emitted by partial discharge sources. Three different types of partial discharge sources used to generate the acoustic emission signals during the partial discharge (PD) occurrences are created in an experimental tank filled with transformer oil. These partial discharge sources are the plain pressboard, the floating metal in the pressboard and the bubble in the pressboard. The acoustic emission (AE) signals are detected and stored as time-frequency representation, in the form of spectrogram, by utilizing the Short-Time Fourier Transform (STFT). Finally, seven descriptors are introduced in order to extract the features from each of the spectrogram. The obtained results also confirmed the ability of the proposed technique to discriminate between different types of PD sources. � 2006 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4154562
dc.identifier.doi10.1109/PECON.2006.346718
dc.identifier.epage586
dc.identifier.scopus2-s2.0-46249095130
dc.identifier.spage581
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-46249095130&doi=10.1109%2fPECON.2006.346718&partnerID=40&md5=af3b8998a0b55a61e697714c1f2d39e1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29763
dc.pagecount5
dc.publisherIEEE Computer Societyen_US
dc.sourceScopus
dc.sourcetitleFirst International Power and Energy Conference, (PECon 2006) Proceedings
dc.subjectAcoustic emission signals
dc.subjectFeature extraction
dc.subjectPartial discharge sources
dc.subjectTime-frequency representation
dc.subjectAcoustic emissions
dc.subjectFeature extraction
dc.subjectOil filled transformers
dc.subjectSpectrographs
dc.subjectAcoustic emission signal
dc.subjectDescriptors
dc.subjectPartial discharge sources
dc.subjectShort time Fourier transforms
dc.subjectSpectrograms
dc.subjectSubject matters
dc.subjectTime-frequency representations
dc.subjectPartial discharges
dc.titleIdentification of different types of partial discharge sources from acoustic emission signals in the time-frequency representationen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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