Feature Analysis Of Numerical Calculated Data From Sweep Frequency Analysis (Sfra) Traces Using Self Organizing Maps

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)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Self Organizing Maps (SOM); power transformer; classification; SFRA
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Electrical Engineering
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 31 Mar 2017 00:49
Last Modified: 18 Jul 2021 23:50
URI: http://eprints.utem.edu.my/id/eprint/18112
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