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 (2014) Feature analysis of numerical calculated data from Sweep Frequency Analysis (SFRA) traces using self organizing maps. Jurnal Teknologi, 67 (3). pp. 37-42. ISSN 2180–3722

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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:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	MOHAMAD NA'IM MOHD NASIR
Date Deposited:	16 Jul 2014 01:05
Last Modified:	24 Jul 2023 16:04
URI:	http://eprints.utem.edu.my/id/eprint/12960
Statistic Details:	View Download Statistic

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