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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

H. Mohamed

P. Lazaridis

D. Upton

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)
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 Oct 13, 2020
Publisher Institute of Electrical and Electronics Engineers
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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