Title :
A study on arc detection using RSSI (Received Signal Strength Indication)
Author :
Seung Kook Yang;Yeon Su Kim;In-Gun Kim;Taejun Choi;Ju Lee
Author_Institution :
Department of Electrical Engineering, Hanyang University
Abstract :
With a view to detecting the series arcs in AFCI and AFDD used to prevent electrical fires, this paper explores a method of processing the low-frequency signals of electric currents, a method of detecting the arc signals using FM IF system´s RSSI from certain frequency band signals in high-frequency noise signals arising when arcs occur, and an algorithm for processing the arc signals.
Keywords :
"Decision support systems","Received signal strength indicator","Fires","Current","Frequency modulation"
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2015 18th International Conference on
DOI :
10.1109/ICEMS.2015.7385107