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Feature analysis of acoustic emission signals in time-frequency representation from partial discharge sources using self-organizing map

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dc.citedby1
dc.contributor.authorZakaria Z.en_US
dc.contributor.authorMd Thayoob Y.H.en_US
dc.contributor.authorSamsudin M.R.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorChai M.L.en_US
dc.contributor.authorid35411030800en_US
dc.contributor.authorid6505876050en_US
dc.contributor.authorid35410298500en_US
dc.contributor.authorid55427760300en_US
dc.contributor.authorid24448195600en_US
dc.date.accessioned2023-12-29T07:52:58Z
dc.date.available2023-12-29T07:52:58Z
dc.date.issued2009
dc.description.abstractElectrical systems throughout the world are experiencing problems with aging insulation. One of the major components, which degrade under stresses, is the paper insulation of a power transformer. In this research work, analysis of acoustic emission (AE) signal patterns due to the occurrence of partial discharge (PD) has been carried out. In order to characterize the different types of PD sources, seven descriptors or features were extracted from the Short-Time Fourier Transform spectrogram of the AE signals. These descriptors are used to generate the Self-Organizing Map (SOM) for three different types of PD sources. From the component planes of the descriptors produced by the SOM map, the analysis of the features was carried out and the best features to represent the AE signal patterns in the Time-Frequency representation were selected.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5478716
dc.identifier.doi10.1109/ICSIPA.2009.5478716
dc.identifier.epage547
dc.identifier.scopus2-s2.0-77954495736
dc.identifier.spage542
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77954495736&doi=10.1109%2fICSIPA.2009.5478716&partnerID=40&md5=01eddf4ac99b006c096bfb55c95f9a75
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30770
dc.pagecount5
dc.sourceScopus
dc.sourcetitleICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
dc.subjectAcoustic emission(AE)
dc.subjectPartial discharge sources
dc.subjectSelf-Organizing Map(SOM)
dc.subjectTime-frequency representation
dc.subjectAcoustic emissions
dc.subjectConformal mapping
dc.subjectFourier transforms
dc.subjectImage processing
dc.subjectImaging systems
dc.subjectPower transformers
dc.subjectWavelet transforms
dc.subjectAcoustic emission signal
dc.subjectAE signals
dc.subjectDescriptors
dc.subjectElectrical systems
dc.subjectFeature analysis
dc.subjectPaper insulation
dc.subjectPartial discharge sources
dc.subjectShort time Fourier transforms
dc.subjectSpectrograms
dc.subjectTime-frequency representation
dc.subjectTime-frequency representations
dc.subjectPartial discharges
dc.titleFeature analysis of acoustic emission signals in time-frequency representation from partial discharge sources using self-organizing mapen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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