Title of article
Feature Analysis of Numerical Calculated Data from Sweep Frequency Analysis (SFRA) Traces Using Self Organizing Maps
Author/Authors
Bohari, Z. H. Universiti Teknikal Malaysia Melaka - Faculty of Electrical Engineering, Malaysia , Ghani, S. Ab Universiti Teknikal Malaysia Melaka - Faculty of Electrical Engineering, Malaysia , Baharom, M. F. Universiti Teknikal Malaysia Melaka - Faculty of Electrical Engineering, Malaysia , Nasir, M. N. M. Universiti Teknikal Malaysia Melaka - Faculty of Electrical Engineering, Malaysia , Jali, M. H. Universiti Teknikal Malaysia Melaka - Faculty of Electrical Engineering, Malaysia , Thayoob, Y. H. Md Universiti Tenaga Nasionl - College of Graduate Studies, Malaysia
From page
37
To page
42
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.
Keywords
Self Organizing Maps (SOM) , power transformer , classification , SFRA
Journal title
Jurnal Teknologi :F
Journal title
Jurnal Teknologi :F
Record number
2716387
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