Evaluation of Transformer Core and Winding Conditions from SFRA Measurement Results using Statistical Techniques for Distribution Transformers

Ab Ghani, Sharin and Md Thayoob, Yasmin Hanum and Yang Ghazali, Young Zaidey and Ahmad Khiar, Mohd Shahril and Sutan Chairul, Imran (2012) Evaluation of Transformer Core and Winding Conditions from SFRA Measurement Results using Statistical Techniques for Distribution Transformers. In: 2012 IEEE International Power Engineering and Optimization Conference (PEOCO2012), Melaka, Malaysia: 6-7 June 2012 , 6 -7 June 2012, Melaka, Malaysia .

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Abstract

Distribution transformers in TNB (Tenaga Nasional Berhad) Malaysia are exposed to thermal and electrical stresses. Those stresses are effecting the main mechanical active parts in transformer such as core and winding. In field, lightning strikes and cable faults may cause problem due to transformer core and winding. SFRA diagnosis is made based on the comparison between two SFRA responses and any significant difference in low, middle and high frequency sub-bands region would potentially indicate mechanical or electrical problem due to core and winding of transformer. Instead of using graphical comparison, statistical techniques such as Cross-correlation Coefficient Function (CCF), Standard Deviation (SD) and Absolute Sum of Logarithmic Error (ASLE) can be used to interpret the SFRA results in a proper way. The aim of this paper is to evaluate the condition of TNB distribution transformer by using SFRA method in line with the interpretation from the statistical techniques.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Correlation Coefficient, FRA, Standard Deviation, Statistics, Transformer.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering > Department of Diploma Studies
Depositing User: Sharin Ab Ghani
Date Deposited: 18 Feb 2013 10:24
Last Modified: 28 May 2015 03:44
URI: http://eprints.utem.edu.my/id/eprint/6726
Statistic Details: View Download Statistic

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