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, Zul Hasrizal, Ab Ghani, Sharin, Baharom, Mohamad Faizal, Mohd Nasir, Mohamad Na'im, Jali, Mohd Hafiz, Y. H., Md Thayoob
Format: Article
Language:English
Published: Penerbit UTM Press 2014
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/18112/2/2762-6934-1-SM.pdf
http://eprints.utem.edu.my/id/eprint/18112/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/2762
http://dx.doi.org/10.11113/jt.v67.2762
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spelling my.utem.eprints.181122021-07-18T23:50:09Z http://eprints.utem.edu.my/id/eprint/18112/ Feature Analysis Of Numerical Calculated Data From Sweep Frequency Analysis (Sfra) Traces Using Self Organizing Maps Bohari, Zul Hasrizal Ab Ghani, Sharin Baharom, Mohamad Faizal Mohd Nasir, Mohamad Na'im Jali, Mohd Hafiz Y. H., Md Thayoob Q Science (General) QA Mathematics 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. Penerbit UTM Press 2014-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18112/2/2762-6934-1-SM.pdf Bohari, Zul Hasrizal and Ab Ghani, Sharin and Baharom, Mohamad Faizal and Mohd Nasir, Mohamad Na'im and Jali, Mohd Hafiz and Y. H., Md Thayoob (2014) Feature Analysis Of Numerical Calculated Data From Sweep Frequency Analysis (Sfra) Traces Using Self Organizing Maps. Jurnal Teknologi, 67. pp. 37-42. ISSN E-ISSN2180-3722 (Submitted) http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/2762 http://dx.doi.org/10.11113/jt.v67.2762
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Bohari, Zul Hasrizal
Ab Ghani, Sharin
Baharom, Mohamad Faizal
Mohd Nasir, Mohamad Na'im
Jali, Mohd Hafiz
Y. H., Md Thayoob
Feature Analysis Of Numerical Calculated Data From Sweep Frequency Analysis (Sfra) Traces Using Self Organizing Maps
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.
format Article
author Bohari, Zul Hasrizal
Ab Ghani, Sharin
Baharom, Mohamad Faizal
Mohd Nasir, Mohamad Na'im
Jali, Mohd Hafiz
Y. H., Md Thayoob
author_facet Bohari, Zul Hasrizal
Ab Ghani, Sharin
Baharom, Mohamad Faizal
Mohd Nasir, Mohamad Na'im
Jali, Mohd Hafiz
Y. H., Md Thayoob
author_sort Bohari, Zul Hasrizal
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 2014
url http://eprints.utem.edu.my/id/eprint/18112/2/2762-6934-1-SM.pdf
http://eprints.utem.edu.my/id/eprint/18112/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/2762
http://dx.doi.org/10.11113/jt.v67.2762
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score 13.211869