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

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 (IEEE)
• 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