Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer

Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure c...

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Main Author:	Hashim, Nurul ‘Izzati
Format:	Thesis
Language:	English English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf
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spelling	my-uthm-ep.67352022-03-15T02:41:05Z Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer 2013-06 Hashim, Nurul ‘Izzati TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure can reduce unplanned maintenance costs and provide the possibility to improve system reliability by preventing outages and breakdowns. Frequency Response Analysis (FRA) is a powerful and sensitive diagnostic test technique to evaluate transformer winding displacements by measuring their electrical transfer functions over a wide frequency range. In the past, it has really required trained experts to interpret the FRA test results in a subjective manner to make a judgement as whether the amount of agreement or disagreement between the two or more sets of FRA measurements is significant enough for further testing and inspection of the transformer. Therefore, a quite number of numerical techniques have been proposed to analyze the FRA data such as Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Correlation Coefficient (CC), and others. Several of the numerical techniques were evaluated for its suitability, reliability and sensitivity for different cases of auto power transformer, 1000 MVA, 400/ 275/ 13 kV HV neutral winding terminations and comparison methods. It is concluded that Absolute Sum of Logarithmic Error (ASLE) is more reliable and sensitive. The ASLE technique should included as an analysing technique in any FRA test to get better interpretation and increase opportunities to provide more objective comparison of FRA test results. 2013-06 Thesis http://eprints.uthm.edu.my/6735/ http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf text en public http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Hashim, Nurul ‘Izzati Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
description	Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure can reduce unplanned maintenance costs and provide the possibility to improve system reliability by preventing outages and breakdowns. Frequency Response Analysis (FRA) is a powerful and sensitive diagnostic test technique to evaluate transformer winding displacements by measuring their electrical transfer functions over a wide frequency range. In the past, it has really required trained experts to interpret the FRA test results in a subjective manner to make a judgement as whether the amount of agreement or disagreement between the two or more sets of FRA measurements is significant enough for further testing and inspection of the transformer. Therefore, a quite number of numerical techniques have been proposed to analyze the FRA data such as Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Correlation Coefficient (CC), and others. Several of the numerical techniques were evaluated for its suitability, reliability and sensitivity for different cases of auto power transformer, 1000 MVA, 400/ 275/ 13 kV HV neutral winding terminations and comparison methods. It is concluded that Absolute Sum of Logarithmic Error (ASLE) is more reliable and sensitive. The ASLE technique should included as an analysing technique in any FRA test to get better interpretation and increase opportunities to provide more objective comparison of FRA test results.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Hashim, Nurul ‘Izzati
author_facet	Hashim, Nurul ‘Izzati
author_sort	Hashim, Nurul ‘Izzati
title	Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_short	Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_full	Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_fullStr	Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_full_unstemmed	Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_sort	investigation of numerical technique to evaluate frequency response analysis (fra) data measurement of auto power transformer
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2013
url	http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf
_version_	1747831088960503808

Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer

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