Title of article
Thermal Image and Leakage Current Diagnostic as a Tool for Testing and Condition Monitoring of ZnO Surge Arrester
Author/Authors
Novizon Universiti Teknologi Malaysia - IVAT Electrical Engineering, Malaysia , Novizon University of Andalas (UNAND) - Electrical Engineering, Indonesia , Abdul Malek, Zulkurnain Universiti Teknologi Malaysia - IVAT Electrical Engineering, Malaysia , Bashir, Nouruddeen Universiti Teknologi Malaysia - IVAT Electrical Engineering, Malaysia , Asilah, N. Universiti Teknologi Malaysia - IVAT Electrical Engineering, Malaysia
From page
27
To page
32
Abstract
This paper presents a study proposing a method to assess the condition of metal-oxide surge arresters. Thermal data using thermal imaging as well as the leakage current third harmonic component were used as tools to investigate the surge arrester aging condition. Artificial Neural Network was employed to classify surge arrester condition with the temperature profile, ambient temperature and humidity as inputs and third harmonic leakage current as target. The results indicated a strong relationship between the thermal profile and leakage current of the surge arrester. This finding suggests the viability of this method in condition monitoring of surge arrester.
Keywords
Zinc oxide arrester , leakage current , thermal image , artificial neural network
Journal title
Jurnal Teknologi :F
Journal title
Jurnal Teknologi :F
Record number
2716123
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