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Use of optimized centroid and weighted centroid algorithms to locate a partial discharge source by using received signal strength.

Khan, Umar F.; Janjua, Ghalib M.W.; Ayub, Ahmad; Ilyas, Mohammad Adnan; Shahzad, Khurram; Mohamed, Hamd

Authors

Mohammad Adnan Ilyas

Khurram Shahzad

Hamd Mohamed



Abstract

Received signal strength (RSS) based localization of a source is a simple but effective technique. In RSS based localization source location is estimated by converting obtained signal into distance. In this paper, centroid and weighted centroid algorithms has been utilized to locate a partial discharge (PD) source. An artificial PD signal was generated, and signals were captured using radio frequency (RF) sensors and hence the location of the source was estimated. The location of the source was estimated for three different positions. There were eight measurement sensors used and received signal was converted into dBm as input to the location algorithm.

Citation

KHAN, U.F., JANJUA, G.M.W., AYUB, A., ILYAS, M.A., SHAHZAD, K. and MOHAMED, H. 2020. Use of optimized centroid and weighted centroid algorithms to locate a partial discharge source by using received signal strength. In Proceedings of 23rd Wireless personal multimedia communications symposium 2020 (WPMC2020): bridging wireless and business worlds, 19-26 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9309452. Available from: https://doi.org/10.1109/WPMC50192.2020.9309452

Conference Name 23rd Wireless personal multimedia communications symposium 2020 (WPMC2020): bridging wireless and business worlds
Conference Location [virtual conference]
Start Date Oct 19, 2020
End Date Oct 26, 2020
Acceptance Date Sep 15, 2020
Online Publication Date Jan 4, 2021
Publication Date Jan 4, 2021
Deposit Date Feb 16, 2021
Publicly Available Date Feb 16, 2021
Publisher Institute of Electrical and Electronics Engineers
Series ISSN 1882-5621
DOI https://doi.org/10.1109/WPMC50192.2020.9309452
Keywords RSS; Centroid; Partial discharge; Sensors
Public URL https://rgu-repository.worktribe.com/output/972939

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