H. Mohamed
Partial discharge localization based on received signal strength.
Mohamed, H.; Lazaridis, P.; Upton, D.; Khan, U.; Mistry, K.; Saeed, B.; Mather, P.; Vieira, M.F.Q.; Barlee, K.W.; Atkinson, D.S.W.; Glover, I.A.
Authors
P. Lazaridis
D. Upton
U. Khan
K. Mistry
B. Saeed
P. Mather
M.F.Q. Vieira
K.W. Barlee
D.S.W. Atkinson
I.A. Glover
Abstract
Partial Discharge (PD) occurs when insulation containing defects or voids is subject to high voltages. If left untreated PD can degrade insulation until, eventually, catastrophic insulation failure occurs. The detection of PD current pulses, however, can allow incipient insulation faults to be identified, located and repaired prior to plant failure. Wireless technology has paved the path for PD detection and monitoring. Software Defined Radio (SDR) is a promising technology. Signals from two PD sources are received at six outdoors locations using an SDR USRP N200 which is connected to a laptop. PD sources, thereafter, are localized based on received signal strengths.
Citation
MOHAMED, H., LAZARIDIS, P., UPTON, D., KHAN, U., MISTRY, K., SAEED, B., MATHER, P., VIEIRA, M.F.Q., BARLEE, K.W., ATKINSON, D.S.W., and GLOVER, I.A. 2017. Partial discharge localization based on received signal strength. In Proceedings of the 23rd International conference on automation and computing 2017 (ICAC 2017), 7-8 September 2017, Huddersfield, UK. Piscataway: IEEE [online], article ID 8082028. Available from: https://doi.org/10.23919/IConAC.2017.8082028
Conference Name | 23rd International conference on automation and computing 2017 (ICAC 2017) |
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Conference Location | Huddersfield, United Kingdom |
Start Date | Sep 7, 2017 |
End Date | Sep 8, 2017 |
Acceptance Date | May 31, 2017 |
Online Publication Date | Sep 7, 2017 |
Publication Date | Oct 26, 2017 |
Deposit Date | Oct 13, 2020 |
Publicly Available Date | Mar 29, 2024 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISBN | 9780701702618 |
DOI | https://doi.org/10.23919/IConAC.2017.8082028 |
Keywords | Partial discharge detection; SDR; Spectrum sensing; USRP N200 |
Public URL | https://rgu-repository.worktribe.com/output/976052 |
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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