Publication:
A review: Partial discharge sensor applications and classification technique in high voltage cable

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dc.citedby2
dc.contributor.authorAuni W.N.en_US
dc.contributor.authorRohani M.N.K.H.en_US
dc.contributor.authorRoslee N.F.en_US
dc.contributor.authorRosmi A.S.en_US
dc.contributor.authorKamaro M.en_US
dc.contributor.authorMohd Aizam T.en_US
dc.contributor.authorJalil M.A.A.en_US
dc.contributor.authorid57218891545en_US
dc.contributor.authorid57189241581en_US
dc.contributor.authorid57819042100en_US
dc.contributor.authorid57193830914en_US
dc.contributor.authorid57218902479en_US
dc.contributor.authorid57218898343en_US
dc.contributor.authorid56178619100en_US
dc.date.accessioned2023-05-29T08:12:36Z
dc.date.available2023-05-29T08:12:36Z
dc.date.issued2020
dc.description.abstractPartial discharge (PD)can cause a failure at high voltage (HV) equipment. Internal discharge, surface discharge and corona discharge can be identified as PD types which can lead to HV system failure. Power cable is one of the major applications in transmission line and power distribution. Therefore, early detection of PD at power cable is important due to prevent any sign of failure. In this paper reviews on how the PD present in power cable and some methods of PD detection at HV equipment. This review highlight on some application of AE sensor and electrical sensor in power cable. Since the PD signals are hard to differentiate due to noise surrounding during experiment, de-noising techniques are proposed in order to remove unwanted PD signal. Next, three popular techniques like Adaptive Neuro-Fuzzy Inference system (ANFIS), Artificial Neural Network (ANN) and Support Vector Machine (SVM) are review in the section of classification of PD signal. Feature extraction act as input of PD classification also introduced to reduce the size of PD data. � 2020, Institute of Advanced Scientific Research, Inc. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.5373/JARDCS/V12SP7/20202229
dc.identifier.epage1301
dc.identifier.issue7 Special Issue
dc.identifier.scopus2-s2.0-85090638765
dc.identifier.spage1290
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090638765&doi=10.5373%2fJARDCS%2fV12SP7%2f20202229&partnerID=40&md5=fb43d0042b3f44900b14f92ba7819243
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25677
dc.identifier.volume12
dc.publisherInstitute of Advanced Scientific Research, Inc.en_US
dc.sourceScopus
dc.sourcetitleJournal of Advanced Research in Dynamical and Control Systems
dc.titleA review: Partial discharge sensor applications and classification technique in high voltage cableen_US
dc.typeReviewen_US
dspace.entity.typePublication
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