Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis
The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so...
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MDPI AG
2014-08-01
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Series: | Entropy |
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Online Access: | http://www.mdpi.com/1099-4300/16/8/4566 |
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author | Hung-Cheng Chen Her-Terng Yau Po-Yan Chen |
author_facet | Hung-Cheng Chen Her-Terng Yau Po-Yan Chen |
author_sort | Hung-Cheng Chen |
collection | DOAJ |
description | The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed on the measured raw data for the purpose of computational burden reduction. A characteristic matrix is then constructed according to dynamic error trajectories in a chaos synchronization system, subsequent to which characteristics are extracted. A comparison with the existing Hilbert-Huang Transform (HHT) method reveals that the two characteristics extracted from the CSED results presented herein using the fractal theory were recognized at a higher rate pattern. |
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format | Article |
id | doaj.art-41081e2359a84c419857639231c4af57 |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-04-13T06:41:55Z |
publishDate | 2014-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-41081e2359a84c419857639231c4af572022-12-22T02:57:42ZengMDPI AGEntropy1099-43002014-08-011684566458210.3390/e16084566e16084566Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal AnalysisHung-Cheng Chen0Her-Terng Yau1Po-Yan Chen2Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanThe work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed on the measured raw data for the purpose of computational burden reduction. A characteristic matrix is then constructed according to dynamic error trajectories in a chaos synchronization system, subsequent to which characteristics are extracted. A comparison with the existing Hilbert-Huang Transform (HHT) method reveals that the two characteristics extracted from the CSED results presented herein using the fractal theory were recognized at a higher rate pattern.http://www.mdpi.com/1099-4300/16/8/4566partial dischargeinsulation deteriorationchaos synchronizationfractal theoryextension theory |
spellingShingle | Hung-Cheng Chen Her-Terng Yau Po-Yan Chen Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis Entropy partial discharge insulation deterioration chaos synchronization fractal theory extension theory |
title | Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis |
title_full | Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis |
title_fullStr | Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis |
title_full_unstemmed | Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis |
title_short | Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis |
title_sort | chaos synchronization error technique based defect pattern recognition for gis through partial discharge signal analysis |
topic | partial discharge insulation deterioration chaos synchronization fractal theory extension theory |
url | http://www.mdpi.com/1099-4300/16/8/4566 |
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