Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPWRD.2004.839187
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dc.titleSeparation of corona using wavelet packet transform and neural network for detection of partial discharge in gas-insulated substations
dc.contributor.authorChang, C.S.
dc.contributor.authorJin, J.
dc.contributor.authorChang, C.
dc.contributor.authorHoshino, T.
dc.contributor.authorHanai, M.
dc.contributor.authorKobayashi, N.
dc.date.accessioned2014-06-17T03:05:34Z
dc.date.available2014-06-17T03:05:34Z
dc.date.issued2005-04
dc.identifier.citationChang, C.S., Jin, J., Chang, C., Hoshino, T., Hanai, M., Kobayashi, N. (2005-04). Separation of corona using wavelet packet transform and neural network for detection of partial discharge in gas-insulated substations. IEEE Transactions on Power Delivery 20 (2 II) : 1363-1369. ScholarBank@NUS Repository. https://doi.org/10.1109/TPWRD.2004.839187
dc.identifier.issn08858977
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/57382
dc.description.abstractIt is essential to detect partial discharge (PD) as a symptom of insulation breakdown in gas-insulated substations (GIS). However, the accuracy of such measurement is often degraded due to the existence of noise in the signal. In this paper, a method using wavelet packet transform and neural network is proposed to separate the PD pulses from corona in air, which enables more accurate detection of insulation breakdown of GIS. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TPWRD.2004.839187
dc.sourceScopus
dc.subjectGas-insulated substations (GIS)
dc.subjectNeural network
dc.subjectNoise reduction
dc.subjectPartial discharge
dc.subjectWavelet packet transform
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TPWRD.2004.839187
dc.description.sourcetitleIEEE Transactions on Power Delivery
dc.description.volume20
dc.description.issue2 II
dc.description.page1363-1369
dc.description.codenITPDE
dc.identifier.isiut000228096100019
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