Publication:
Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals

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dc.citedby2
dc.contributor.authorTho N.T.N.en_US
dc.contributor.authorChakrabarty C.K.en_US
dc.contributor.authorSiah Y.K.en_US
dc.contributor.authorGhani A.B.Abd.en_US
dc.contributor.authorid54584502600en_US
dc.contributor.authorid6701755282en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid24469638000en_US
dc.date.accessioned2023-12-29T07:47:43Z
dc.date.available2023-12-29T07:47:43Z
dc.date.issued2011
dc.description.abstractMagnetic sensor is a relatively new method to collect time-resolved partial discharge (PD) signals in XLPE cables. This paper proposes a simple yet effective method to recognize patterns of PD signals obtained from the magnetic sensor. The technique consists of wavelet transformation to de-noise the signals, statistical analysis to extract features and multi-layer perceptron back propagation (MLP BP) neural network to classify different types of PD signals. The result is elaborated in this paper. � 2011 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6079231
dc.identifier.doi10.1109/ICOS.2011.6079231
dc.identifier.epage246
dc.identifier.scopus2-s2.0-83155163787
dc.identifier.spage243
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-83155163787&doi=10.1109%2fICOS.2011.6079231&partnerID=40&md5=e01ef340f09ca6cd28b985f73635f2bf
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30427
dc.pagecount3
dc.sourceScopus
dc.sourcetitle2011 IEEE Conference on Open Systems, ICOS 2011
dc.subjectneural network
dc.subjectpartial discharge
dc.subjectpattern recognition
dc.subjectstatistical method
dc.subjecttime-resolved signals
dc.subjectwavelet de-noising
dc.subjectBackpropagation
dc.subjectFeature extraction
dc.subjectMagnetic sensors
dc.subjectPartial discharges
dc.subjectPattern recognition
dc.subjectPattern recognition systems
dc.subjectStatistical methods
dc.subjectDe-Noise
dc.subjectFeature extraction methods
dc.subjectMulti layer perceptron
dc.subjectPartial discharge signal
dc.subjectTime-resolved
dc.subjectWavelet denoising
dc.subjectWavelet transformations
dc.subjectXLPE cables
dc.subjectNeural networks
dc.titleFeature extraction method and neural network pattern recognition on time-resolved partial discharge signalsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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