Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers

Frequency response analysis (FRA) technique has become a popular and reliable diagnostic tool in detecting various winding deformation in power transformers. Although the popularity of FRA is growing rapidly, interpretation of FRA signature requires high expertise. While all frequency response analy...

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Bibliographic Details
Main Authors: Abu-Siada, Ahmed, Aljohani, O.
Other Authors: IEEE PES Executive Office
Format: Conference Paper
Published: IEEE 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/32702
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author Abu-Siada, Ahmed
Aljohani, O.
author2 IEEE PES Executive Office
author_facet IEEE PES Executive Office
Abu-Siada, Ahmed
Aljohani, O.
author_sort Abu-Siada, Ahmed
building Curtin Institutional Repository
collection Online Access
description Frequency response analysis (FRA) technique has become a popular and reliable diagnostic tool in detecting various winding deformation in power transformers. Although the popularity of FRA is growing rapidly, interpretation of FRA signature requires high expertise. While all frequency response analyzers currently used for FRA signature measurement are capable in plotting both magnitude and angle of either the transfer function or impedance of each transformer winding, only magnitude is used for fault identification and quantification. This paper presents a new technique for FRA signature interpretation. The proposed technique relies on incorporating both magnitude and angle of the FRA signature in one polar plot. Results show that, polar plot is more capable in identifying and quantifying faults within power transformer than using only the magnitude of FRA signature. The proposed technique is easy to implement in any frequency response analyzer.
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spelling curtin-20.500.11937-327022017-09-13T15:55:51Z Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers Abu-Siada, Ahmed Aljohani, O. IEEE PES Executive Office Power transformer Frequency response analysis Polar plot Condition monitoring Frequency response analysis (FRA) technique has become a popular and reliable diagnostic tool in detecting various winding deformation in power transformers. Although the popularity of FRA is growing rapidly, interpretation of FRA signature requires high expertise. While all frequency response analyzers currently used for FRA signature measurement are capable in plotting both magnitude and angle of either the transfer function or impedance of each transformer winding, only magnitude is used for fault identification and quantification. This paper presents a new technique for FRA signature interpretation. The proposed technique relies on incorporating both magnitude and angle of the FRA signature in one polar plot. Results show that, polar plot is more capable in identifying and quantifying faults within power transformer than using only the magnitude of FRA signature. The proposed technique is easy to implement in any frequency response analyzer. 2014 Conference Paper http://hdl.handle.net/20.500.11937/32702 10.1109/PESGM.2014.6939160 IEEE restricted
spellingShingle Power transformer
Frequency response analysis
Polar plot
Condition monitoring
Abu-Siada, Ahmed
Aljohani, O.
Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title_full Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title_fullStr Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title_full_unstemmed Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title_short Application of FRA Polar Plot Technique to Diagnose Internal Faults in Power Transformers
title_sort application of fra polar plot technique to diagnose internal faults in power transformers
topic Power transformer
Frequency response analysis
Polar plot
Condition monitoring
url http://hdl.handle.net/20.500.11937/32702