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Autonomous localization of partial discharge sources within large transformer windings

Condition monitoring; Digital radio; Impulse response; Partial discharges; Power transformers; Principal component analysis; Signal processing; Wavelet transforms; Winding; Different frequency; Electrical detection method; Health informations; Monitoring hardware; Partial discharge sources; Power tr...

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Main Authors: Rahman M.S.A., Lewin P.L., Rapisarda P.
Other Authors: 36609854400
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-228102023-05-29T14:12:24Z Autonomous localization of partial discharge sources within large transformer windings Rahman M.S.A. Lewin P.L. Rapisarda P. 36609854400 7102386669 57207558453 Condition monitoring; Digital radio; Impulse response; Partial discharges; Power transformers; Principal component analysis; Signal processing; Wavelet transforms; Winding; Different frequency; Electrical detection method; Health informations; Monitoring hardware; Partial discharge sources; Power transformer insulation; Radio frequency current transducer; Source localization; Transformer windings Partial discharge (PD) condition monitoring inside a HV transformer generally and particularly along a transformer winding has become an important research area with the ultimate aim of providing asset health information that enables maintenance and replacement processes to be carried out effectively. As far as PD activity inside transformer windings is concerned, an electrical detection method has been developed based on the use of radio frequency current transducers and subsequent digital signal processing of captured measurement data. A localization approach based on the measurement of currents at the bushing tap point and neutral to earth connection has been developed, with the assumption that different PD source locations will generate unique signal profiles in terms of the distribution of measured current energies with respect to both frequency and time. Therefore the technique presented is based on analysis of measured current energies associated with different frequencies. Principal Component Analysis (PCA) is then applied to reduce the dimensionality of the data, whilst minimizing lost information in the original dataset. This non-linear analysis of captured current data is not practicable for the field but the process can be represented through the use of three finite impulse response filters that have the ability to perform PD source localization automatically and are straightforward to implement in monitoring hardware. � 1994-2012 IEEE. Final 2023-05-29T06:12:24Z 2023-05-29T06:12:24Z 2016 Article 10.1109/TDEI.2015.005070 2-s2.0-84973472779 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973472779&doi=10.1109%2fTDEI.2015.005070&partnerID=40&md5=2617c8562f82ddb90b6d4d1ef987beb9 https://irepository.uniten.edu.my/handle/123456789/22810 23 2 7480674 1088 1098 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Condition monitoring; Digital radio; Impulse response; Partial discharges; Power transformers; Principal component analysis; Signal processing; Wavelet transforms; Winding; Different frequency; Electrical detection method; Health informations; Monitoring hardware; Partial discharge sources; Power transformer insulation; Radio frequency current transducer; Source localization; Transformer windings
author2 36609854400
author_facet 36609854400
Rahman M.S.A.
Lewin P.L.
Rapisarda P.
format Article
author Rahman M.S.A.
Lewin P.L.
Rapisarda P.
spellingShingle Rahman M.S.A.
Lewin P.L.
Rapisarda P.
Autonomous localization of partial discharge sources within large transformer windings
author_sort Rahman M.S.A.
title Autonomous localization of partial discharge sources within large transformer windings
title_short Autonomous localization of partial discharge sources within large transformer windings
title_full Autonomous localization of partial discharge sources within large transformer windings
title_fullStr Autonomous localization of partial discharge sources within large transformer windings
title_full_unstemmed Autonomous localization of partial discharge sources within large transformer windings
title_sort autonomous localization of partial discharge sources within large transformer windings
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427834340605952
score 13.214268

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