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

U.F. Khan, G.M.W. Janjua, A. Ayub, M.A. Ilyas, K. Shahzad, H. Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
20 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)
PublisherIEEE
Number of pages5
ISBN (Electronic)9781728182964
DOIs
Publication statusPublished - 19 Oct 2020
Event 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) - Okayama, Japan
Duration: 19 Oct 202026 Oct 2020

Conference

Conference 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)
Country/TerritoryJapan
CityOkayama
Period19/10/2026/10/20

Keywords

  • RSS
  • centroid
  • partial discharge
  • sensors
  • mathematical model
  • antenna measurements
  • radiometry
  • receivers
  • wireless sensor networks

Fingerprint

Dive into the research topics of 'Use of optimized centroid and weighted centroid algorithms to locate a partial discharge source by using received signal strength'. Together they form a unique fingerprint.

Cite this