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Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps

This paper presents a comprehensive investigation of the Self Organizing Map (SOM) classification process of good and defective power distribution transformers. Three main features were extracted from the numerical calculation method of the Sweep Frequency Response Analysis (SFRA) signals acquired f...

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Main Authors: Bohari Z.H., Ab Ghani S.A., Baharom M.F., Nasir M.N.M., Jali M.H., Md Thayoob Y.H.
Other Authors: 56085889300
Format: Article
Published: Penerbit UTM Press 2023
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spelling my.uniten.dspace-221712023-05-16T10:48:04Z Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps Bohari Z.H. Ab Ghani S.A. Baharom M.F. Nasir M.N.M. Jali M.H. Md Thayoob Y.H. 56085889300 56504019900 56078250600 55658799800 56078350800 6505876050 This paper presents a comprehensive investigation of the Self Organizing Map (SOM) classification process of good and defective power distribution transformers. Three main features were extracted from the numerical calculation method of the Sweep Frequency Response Analysis (SFRA) signals acquired from the transformers. These features are the input vectors for the SOM classification. Analysis of the results has shown the capability of the features and the SOM classification method to differentiate between good and defective transformers. © 2014 Penerbit UTM Press. All rights reserved. Final 2023-05-16T02:48:04Z 2023-05-16T02:48:04Z 2014 Article 10.11113/jt.v67.2762 2-s2.0-84896979387 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896979387&doi=10.11113%2fjt.v67.2762&partnerID=40&md5=716ac67aad0c2023b9a2c4723fba2ec4 https://irepository.uniten.edu.my/handle/123456789/22171 67 3 37 42 Penerbit UTM Press 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 This paper presents a comprehensive investigation of the Self Organizing Map (SOM) classification process of good and defective power distribution transformers. Three main features were extracted from the numerical calculation method of the Sweep Frequency Response Analysis (SFRA) signals acquired from the transformers. These features are the input vectors for the SOM classification. Analysis of the results has shown the capability of the features and the SOM classification method to differentiate between good and defective transformers. © 2014 Penerbit UTM Press. All rights reserved.
author2 56085889300
author_facet 56085889300
Bohari Z.H.
Ab Ghani S.A.
Baharom M.F.
Nasir M.N.M.
Jali M.H.
Md Thayoob Y.H.
format Article
author Bohari Z.H.
Ab Ghani S.A.
Baharom M.F.
Nasir M.N.M.
Jali M.H.
Md Thayoob Y.H.
spellingShingle Bohari Z.H.
Ab Ghani S.A.
Baharom M.F.
Nasir M.N.M.
Jali M.H.
Md Thayoob Y.H.
Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
author_sort Bohari Z.H.
title Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
title_short Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
title_full Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
title_fullStr Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
title_full_unstemmed Feature analysis of numerical calculated data from sweep frequency analysis (SFRA) traces using Self organizing maps
title_sort feature analysis of numerical calculated data from sweep frequency analysis (sfra) traces using self organizing maps
publisher Penerbit UTM Press
publishDate 2023
_version_ 1806428355572006912
score 13.211869

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