Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors
Insulation degradation may cause inefficient and faulty operation of transformers. The insulation failures in transformers mostly start with a Partial Discharge (PD) event. For both operational and cost reasons to ensure the best performance and functionality of transformers, early detection of PD e...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9812611/ |
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author | Fatih Atalar Emrah Dokur Ertan Balaban Mohamed Missous Mukden Ugur |
author_facet | Fatih Atalar Emrah Dokur Ertan Balaban Mohamed Missous Mukden Ugur |
author_sort | Fatih Atalar |
collection | DOAJ |
description | Insulation degradation may cause inefficient and faulty operation of transformers. The insulation failures in transformers mostly start with a Partial Discharge (PD) event. For both operational and cost reasons to ensure the best performance and functionality of transformers, early detection of PD events is of great importance. In this paper presents a novel PD detection technique by using a highly sensitive Quantum Well Hall Effect (QWHE) magnetic field sensor and compares the findings with an off-the-shelf silicon magnetic field transducer. The investigation of the QWHE for high voltage engineering problem such as PD detection is given first time in this paper. The aim of the study is to detect PD activity in pressboards immersed in mineral insulation oil experimentally using a new QWHE sensor. The measured experimental data from both sensors are decomposed by Empirical Mode Decomposition (EMD) and Wavelet Decomposition (WD) methods, and PD signals are analyzed comparatively. The results show that QWHE sensors provide more accurate and noise-free measurements allowing early and more accurate PD detections. |
first_indexed | 2024-04-13T05:59:21Z |
format | Article |
id | doaj.art-3a49230ccf63487bb73d1949a721e432 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-13T05:59:21Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-3a49230ccf63487bb73d1949a721e4322022-12-22T02:59:29ZengIEEEIEEE Access2169-35362022-01-0110703627036910.1109/ACCESS.2022.31878209812611Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field SensorsFatih Atalar0https://orcid.org/0000-0002-0179-3108Emrah Dokur1https://orcid.org/0000-0002-4576-1941Ertan Balaban2Mohamed Missous3https://orcid.org/0000-0002-6577-642XMukden Ugur4Department of Electrical and Electronics Engineering, Istanbul University-Cerrahpaşa, Istanbul, TurkeyMaREI-SFI Research Centre for Energy, Climate and Marine, University of College Cork, Cork, IrelandDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.Department of Robotics and Intelligent Systems, Institute of Science, Turkish-German University, Istanbul, TurkeyInsulation degradation may cause inefficient and faulty operation of transformers. The insulation failures in transformers mostly start with a Partial Discharge (PD) event. For both operational and cost reasons to ensure the best performance and functionality of transformers, early detection of PD events is of great importance. In this paper presents a novel PD detection technique by using a highly sensitive Quantum Well Hall Effect (QWHE) magnetic field sensor and compares the findings with an off-the-shelf silicon magnetic field transducer. The investigation of the QWHE for high voltage engineering problem such as PD detection is given first time in this paper. The aim of the study is to detect PD activity in pressboards immersed in mineral insulation oil experimentally using a new QWHE sensor. The measured experimental data from both sensors are decomposed by Empirical Mode Decomposition (EMD) and Wavelet Decomposition (WD) methods, and PD signals are analyzed comparatively. The results show that QWHE sensors provide more accurate and noise-free measurements allowing early and more accurate PD detections.https://ieeexplore.ieee.org/document/9812611/Empirical mode decompositionhall effect sensorpartial dischargequantum well sensorwavelet decomposition |
spellingShingle | Fatih Atalar Emrah Dokur Ertan Balaban Mohamed Missous Mukden Ugur Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors IEEE Access Empirical mode decomposition hall effect sensor partial discharge quantum well sensor wavelet decomposition |
title | Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors |
title_full | Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors |
title_fullStr | Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors |
title_full_unstemmed | Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors |
title_short | Partial Discharge Detection in Pressboards Immersed in Mineral Insulation Oil With Quantum Well Hall Effect Magnetic Field Sensors |
title_sort | partial discharge detection in pressboards immersed in mineral insulation oil with quantum well hall effect magnetic field sensors |
topic | Empirical mode decomposition hall effect sensor partial discharge quantum well sensor wavelet decomposition |
url | https://ieeexplore.ieee.org/document/9812611/ |
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