Publication:
A Novel Identification of High Neutral to Earth Voltage (NTEV) Faults on Power Distribution Systems

dc.authorscopusid56453466100
dc.authorscopusid26666522700
dc.authorscopusid57211410254
dc.authorscopusid36460206000
dc.contributor.authorMat Yusoh, M.A.T.M.
dc.contributor.authorBin Abidin, A.F.
dc.contributor.authorYasin, Z.M.
dc.contributor.authorYalcin, T.
dc.date.accessioned2020-06-21T09:43:28Z
dc.date.available2020-06-21T09:43:28Z
dc.date.issued2018
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Mat Yusoh] Mohd Abdul Talib, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia; [Bin Abidin] Ahmad Farid, Centre for Electrical Power Engineering Studies (CEPES), Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia; [Yasin] Zuhaila Mat, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia; [Yalcin] Turgay, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractHigh Neutral to Earth Voltage (NTEV) could lead to various problems ranging from the frequent tripping, electronic card burning, neutral overheating, and electromagnetic interference. In order to solve the corresponding problems, the sources of high NTEV shall be classified so that the troubleshooting efforts can be minimized. The accurate classification technique of high NTEV sources is very crucial to accommodate such purpose. Hence, the objective of the study is to develop the classification technique of high NTEV at the electrical distribution systems. The S-Transform and Statistical Analysis are proposed in order to extract information from the corresponding features, where their features are tested on the different types of classifier tools. In general, the reliable tools for classifying NTEV sources have been successfully developed as all the classifiers have managed to perform accurately. The result shows that the SVM outperformed the other techniques in classifying the NTEV, where it produces the highest accuracy as compared to the other classifier techniques. © 2018 Praise Worthy Prize S.r.l.- All rights reserved.en_US
dc.identifier.doi10.15866/iree.v13i6.15656
dc.identifier.endpage485en_US
dc.identifier.issn1827-6660
dc.identifier.issn2533-2244
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85067244719
dc.identifier.scopusqualityQ3
dc.identifier.startpage476en_US
dc.identifier.urihttps://doi.org/10.15866/iree.v13i6.15656
dc.identifier.volume13en_US
dc.language.isoenen_US
dc.publisherPraise Worthy Prize S.r.len_US
dc.relation.ispartofInternational Review of Electrical Engineeringen_US
dc.relation.journalInternational Review of Electrical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassifier Toolsen_US
dc.subjectNeutral to Earth Voltage (NTEV)en_US
dc.subjectPower Quality (PQ)en_US
dc.subjectS-Transform (ST)en_US
dc.subjectStatistical Analysisen_US
dc.titleA Novel Identification of High Neutral to Earth Voltage (NTEV) Faults on Power Distribution Systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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