Partial Discharges Identification and Localisation within Transformer Windings

Correlation methods; Mathematical morphology; Partial discharges; Winding; Automatic separations; Cross correlation methods; Extract informations; Localization of sources; Model transformers; Point of measurement; Relative performance; Waveform characteristics; Transformer windings

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Bibliographic Details
Main Authors: Ali N.H.N., Ariffin A.M., Rapisarda P., Lewin P.L.
Other Authors: 57196922007
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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author Ali N.H.N.
Ariffin A.M.
Rapisarda P.
Lewin P.L.
author2 57196922007
author_facet 57196922007
Ali N.H.N.
Ariffin A.M.
Rapisarda P.
Lewin P.L.
author_sort Ali N.H.N.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Correlation methods; Mathematical morphology; Partial discharges; Winding; Automatic separations; Cross correlation methods; Extract informations; Localization of sources; Model transformers; Point of measurement; Relative performance; Waveform characteristics; Transformer windings
format Article
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institution Universiti Tenaga Nasional
publishDate 2023
publisher Institute of Electrical and Electronics Engineers Inc.
record_format dspace
spelling my.uniten.dspace-251152023-05-29T16:06:51Z Partial Discharges Identification and Localisation within Transformer Windings Ali N.H.N. Ariffin A.M. Rapisarda P. Lewin P.L. 57196922007 16400722400 57207558453 7102386669 Correlation methods; Mathematical morphology; Partial discharges; Winding; Automatic separations; Cross correlation methods; Extract informations; Localization of sources; Model transformers; Point of measurement; Relative performance; Waveform characteristics; Transformer windings This study proposes a technique that is based on the hypothesis that distinct PD sources have unique PD waveform characteristics at the point of measurement. Two different forms of PD pulses are injected into a model transformer winding at different points and by using wideband radio frequency current transformers (RFCTs), measurement data are obtained by positioning the RFCTs at the neutral-to-earth point of the winding and the bushing tap-point-to-earth. Mathematical morphology energy analysis using ordering points to identify clustering structure and signal cross correlation methods are utilized to extract information from the raw measurement data. Assessment of the relative performance of the analytical methods are examined and characterized in this study. The proposed approach allows automatic separation of PD data by source and localization of source site within the winding. � 1994-2012 IEEE. Final 2023-05-29T08:06:51Z 2023-05-29T08:06:51Z 2020 Article 10.1109/TDEI.2020.008706 2-s2.0-85097998275 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097998275&doi=10.1109%2fTDEI.2020.008706&partnerID=40&md5=8b8af86eca8d0496aeb9825f0ef9f8bd https://irepository.uniten.edu.my/handle/123456789/25115 27 6 9293231 2095 2103 Institute of Electrical and Electronics Engineers Inc. Scopus
spellingShingle Ali N.H.N.
Ariffin A.M.
Rapisarda P.
Lewin P.L.
Partial Discharges Identification and Localisation within Transformer Windings
title Partial Discharges Identification and Localisation within Transformer Windings
title_full Partial Discharges Identification and Localisation within Transformer Windings
title_fullStr Partial Discharges Identification and Localisation within Transformer Windings
title_full_unstemmed Partial Discharges Identification and Localisation within Transformer Windings
title_short Partial Discharges Identification and Localisation within Transformer Windings
title_sort partial discharges identification and localisation within transformer windings
url_provider http://dspace.uniten.edu.my/