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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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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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 |
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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 |
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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. |
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Article |
author |
Bohari, Zul Hasrizal Ab Ghani, Sharin Baharom, Mohamad Faizal Mohd Nasir, Mohamad Na'im Jali, Mohd Hafiz Y. H., Md Thayoob |
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Bohari, Zul Hasrizal Ab Ghani, Sharin Baharom, Mohamad Faizal Mohd Nasir, Mohamad Na'im Jali, Mohd Hafiz Y. H., Md Thayoob |
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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 |
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Penerbit UTM Press |
publishDate |
2014 |
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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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