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Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the trans...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506647/ https://www.ncbi.nlm.nih.gov/pubmed/32872632 http://dx.doi.org/10.3390/s20174903 |
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author | Liu, Yunpeng Li, Xinye Li, Huan Fan, Xiaozhou |
author_facet | Liu, Yunpeng Li, Xinye Li, Huan Fan, Xiaozhou |
author_sort | Liu, Yunpeng |
collection | PubMed |
description | Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry. |
format | Online Article Text |
id | pubmed-7506647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75066472020-09-26 Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering Liu, Yunpeng Li, Xinye Li, Huan Fan, Xiaozhou Sensors (Basel) Article Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry. MDPI 2020-08-30 /pmc/articles/PMC7506647/ /pubmed/32872632 http://dx.doi.org/10.3390/s20174903 Text en © 2020 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 Liu, Yunpeng Li, Xinye Li, Huan Fan, Xiaozhou Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title | Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title_full | Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title_fullStr | Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title_full_unstemmed | Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title_short | Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering |
title_sort | global temperature sensing for an operating power transformer based on raman scattering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506647/ https://www.ncbi.nlm.nih.gov/pubmed/32872632 http://dx.doi.org/10.3390/s20174903 |
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