@inproceedings{b5a955836c644838bf4de7bdd3fe789a,
title = "Use of optimized centroid and weighted centroid algorithms to locate a partial discharge source by using received signal strength",
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.",
keywords = "Centroid, Partial discharge, RSS, Sensors",
author = "Khan, {Umar F.} and Janjua, {Ghalib M.W.} and Ahmad Ayub and Ilyas, {Mohammad Adnan} and Khurram Shahzad and Hamd Mohamed",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020 ; Conference date: 19-10-2020 Through 26-10-2020",
year = "2020",
month = oct,
day = "19",
doi = "10.1109/WPMC50192.2020.9309452",
language = "English",
isbn = "9781728182964",
series = "International Symposium on Wireless Personal Multimedia Communications, WPMC",
publisher = "IEEE Computer Society",
booktitle = "WPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications",
address = "United States",
}