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A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences
The paper reports on the solution, principles, and application results related to a system for diagnosing main transformers in power plants via the radiofrequency method. The subject of the diagnostics is the occurrence of partial discharge activity in transformers. The technical solution of the sys...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413022/ https://www.ncbi.nlm.nih.gov/pubmed/30813257 http://dx.doi.org/10.3390/s19040923 |
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author | Drexler, Petr Čáp, Martin Fiala, Pavel Steinbauer, Miloslav Kadlec, Radim Kaška, Miloš Kočiš, Lubomír |
author_facet | Drexler, Petr Čáp, Martin Fiala, Pavel Steinbauer, Miloslav Kadlec, Radim Kaška, Miloš Kočiš, Lubomír |
author_sort | Drexler, Petr |
collection | PubMed |
description | The paper reports on the solution, principles, and application results related to a system for diagnosing main transformers in power plants via the radiofrequency method. The subject of the diagnostics is the occurrence of partial discharge activity in transformers. The technical solution of the system is characterized in the introductory section of the article. There then follows a description of the operating principle and the implemented novel advanced methods for signal detection and source localization. The results obtained from practical application of the system within the diagnostics of high-power transformers are presented as well. Because ambient electromagnetic disturbance was recognized as a major issue during the system development, novel detection methods were proposed, implemented, and verified. The principal approach utilizes an external radiofrequency sensor to detect outer impulse disturbance and to eliminate disturbance-triggered acquisitions, and it also ensures direct real-time visualization of the desired impulse signals. The ability of weak signal detection was verified via artificial impulse signal injection into the transformer. The developed detection methods were completed with localization techniques for signal source estimation. The desired impulse signal was detected and localized during full operation of the main transformer, despite the presence of strong electromagnetic interference. |
format | Online Article Text |
id | pubmed-6413022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64130222019-04-03 A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences Drexler, Petr Čáp, Martin Fiala, Pavel Steinbauer, Miloslav Kadlec, Radim Kaška, Miloš Kočiš, Lubomír Sensors (Basel) Article The paper reports on the solution, principles, and application results related to a system for diagnosing main transformers in power plants via the radiofrequency method. The subject of the diagnostics is the occurrence of partial discharge activity in transformers. The technical solution of the system is characterized in the introductory section of the article. There then follows a description of the operating principle and the implemented novel advanced methods for signal detection and source localization. The results obtained from practical application of the system within the diagnostics of high-power transformers are presented as well. Because ambient electromagnetic disturbance was recognized as a major issue during the system development, novel detection methods were proposed, implemented, and verified. The principal approach utilizes an external radiofrequency sensor to detect outer impulse disturbance and to eliminate disturbance-triggered acquisitions, and it also ensures direct real-time visualization of the desired impulse signals. The ability of weak signal detection was verified via artificial impulse signal injection into the transformer. The developed detection methods were completed with localization techniques for signal source estimation. The desired impulse signal was detected and localized during full operation of the main transformer, despite the presence of strong electromagnetic interference. MDPI 2019-02-22 /pmc/articles/PMC6413022/ /pubmed/30813257 http://dx.doi.org/10.3390/s19040923 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Drexler, Petr Čáp, Martin Fiala, Pavel Steinbauer, Miloslav Kadlec, Radim Kaška, Miloš Kočiš, Lubomír A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title | A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title_full | A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title_fullStr | A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title_full_unstemmed | A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title_short | A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to Interferences |
title_sort | sensor system for detecting and localizing partial discharges in power transformers with improved immunity to interferences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413022/ https://www.ncbi.nlm.nih.gov/pubmed/30813257 http://dx.doi.org/10.3390/s19040923 |
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