Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards
Pressboards are commonly used as insulating materials employed in electrical connections of transformers. Pressboards are typically made from vegetable fibers, which contain cellulose. The proper operation of power transformer depends mainly on constant monitoring of insulation materials against f...
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Format: | Article |
Language: | English |
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Stefan cel Mare University of Suceava
2018-05-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2018.02009 |
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author | CEKLI, S. UZUNOGLU, C. P. UGUR, M. |
author_facet | CEKLI, S. UZUNOGLU, C. P. UGUR, M. |
author_sort | CEKLI, S. |
collection | DOAJ |
description | Pressboards are commonly used as insulating materials employed in electrical connections of transformers.
Pressboards are typically made from vegetable fibers, which contain cellulose. The proper operation of
power transformer depends mainly on constant monitoring of insulation materials against failure. Due to
the complex and close structure of power transformers, it is very challenging task to detect failure
and hence possible location of degradation of pressboard internally. Generated discharge signals may
result in breakdown of system insulation and system failure. In this study, the investigation
of insulation degradation is fulfilled by analyzing discharge signals and simultaneously produced
acoustic signals during discharges. For this purpose, a test setup is used for investigating discharge
signals of pressboard samples under different electrical stresses. This paper proposes monofractal and
multifractal analysis of discharge and acoustic signals of pressboards. The Higuchi’s method is an
effective monofractal analysis tool for measurement of fractal dimension of self-affine signals,
which is proposed for online monitoring of discharge signals of pressboards. In order to investigate
obtained discharge signals with accelerated fluctuations effectively, multifractal detrended
fluctuation analysis is proposed for these signals, which exhibit nonlinear behavior. |
first_indexed | 2024-12-22T13:22:17Z |
format | Article |
id | doaj.art-3dcd03bbbbbc42b08127efa9bc16cef4 |
institution | Directory Open Access Journal |
issn | 1582-7445 1844-7600 |
language | English |
last_indexed | 2024-12-22T13:22:17Z |
publishDate | 2018-05-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Advances in Electrical and Computer Engineering |
spelling | doaj.art-3dcd03bbbbbc42b08127efa9bc16cef42022-12-21T18:24:26ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002018-05-01182697610.4316/AECE.2018.02009Monofractal and Multifractal Analysis of Discharge Signals in Transformer PressboardsCEKLI, S.UZUNOGLU, C. P.UGUR, M.Pressboards are commonly used as insulating materials employed in electrical connections of transformers. Pressboards are typically made from vegetable fibers, which contain cellulose. The proper operation of power transformer depends mainly on constant monitoring of insulation materials against failure. Due to the complex and close structure of power transformers, it is very challenging task to detect failure and hence possible location of degradation of pressboard internally. Generated discharge signals may result in breakdown of system insulation and system failure. In this study, the investigation of insulation degradation is fulfilled by analyzing discharge signals and simultaneously produced acoustic signals during discharges. For this purpose, a test setup is used for investigating discharge signals of pressboard samples under different electrical stresses. This paper proposes monofractal and multifractal analysis of discharge and acoustic signals of pressboards. The Higuchi’s method is an effective monofractal analysis tool for measurement of fractal dimension of self-affine signals, which is proposed for online monitoring of discharge signals of pressboards. In order to investigate obtained discharge signals with accelerated fluctuations effectively, multifractal detrended fluctuation analysis is proposed for these signals, which exhibit nonlinear behavior.http://dx.doi.org/10.4316/AECE.2018.02009partial dischargespower transformersfractalsacoustic sensorspower quality |
spellingShingle | CEKLI, S. UZUNOGLU, C. P. UGUR, M. Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards Advances in Electrical and Computer Engineering partial discharges power transformers fractals acoustic sensors power quality |
title | Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards |
title_full | Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards |
title_fullStr | Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards |
title_full_unstemmed | Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards |
title_short | Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards |
title_sort | monofractal and multifractal analysis of discharge signals in transformer pressboards |
topic | partial discharges power transformers fractals acoustic sensors power quality |
url | http://dx.doi.org/10.4316/AECE.2018.02009 |
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