Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection
High impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy backgrou...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/11/2148 |
| _version_ | 1798024357960744960 |
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| author | Tomáš Vantuch Michal Prílepok Jan Fulneček Roman Hrbáč Stanislav Mišák |
| author_facet | Tomáš Vantuch Michal Prílepok Jan Fulneček Roman Hrbáč Stanislav Mišák |
| author_sort | Tomáš Vantuch |
| collection | DOAJ |
| description | High impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy background noise. In this paper, a new approach for partial discharge pattern recognition is presented. All results were obtained on data, acquired from real 22 kV medium voltage overhead power line with covered conductors. The proposed method is based on a text compression algorithm and it serves as a signal similarity estimation, applied for the first time on partial discharge pattern. Its relevancy is examined by three different variations of classification model. The improvement gained on an already deployed model proves its quality. |
| first_indexed | 2024-04-11T18:01:12Z |
| format | Article |
| id | doaj.art-943b161cf5b545d69dac7505a1b057fb |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:01:12Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-943b161cf5b545d69dac7505a1b057fb2022-12-22T04:10:29ZengMDPI AGEnergies1996-10732019-06-011211214810.3390/en12112148en12112148Towards the Text Compression Based Feature Extraction in High Impedance Fault DetectionTomáš Vantuch0Michal Prílepok1Jan Fulneček2Roman Hrbáč3Stanislav Mišák4Centre ENET at VŠB—Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech RepublicCentre ENET at VŠB—Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech RepublicCentre ENET at VŠB—Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech RepublicCentre ENET at VŠB—Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech RepublicCentre ENET at VŠB—Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech RepublicHigh impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy background noise. In this paper, a new approach for partial discharge pattern recognition is presented. All results were obtained on data, acquired from real 22 kV medium voltage overhead power line with covered conductors. The proposed method is based on a text compression algorithm and it serves as a signal similarity estimation, applied for the first time on partial discharge pattern. Its relevancy is examined by three different variations of classification model. The improvement gained on an already deployed model proves its quality.https://www.mdpi.com/1996-1073/12/11/2148Lempel-Ziv complexitytext compressionhigh impedance fault detectionoverhead linescovered conductorpartial discharges |
| spellingShingle | Tomáš Vantuch Michal Prílepok Jan Fulneček Roman Hrbáč Stanislav Mišák Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection Energies Lempel-Ziv complexity text compression high impedance fault detection overhead lines covered conductor partial discharges |
| title | Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection |
| title_full | Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection |
| title_fullStr | Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection |
| title_full_unstemmed | Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection |
| title_short | Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection |
| title_sort | towards the text compression based feature extraction in high impedance fault detection |
| topic | Lempel-Ziv complexity text compression high impedance fault detection overhead lines covered conductor partial discharges |
| url | https://www.mdpi.com/1996-1073/12/11/2148 |
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