Title :
Fault Recognition on Power Networks via SNR Analysis
Author :
Kapareliotis, Evagelos S. ; Drakakis, Kostas E. ; Dimitriadis, Haralambos Prodromos K ; Capsalis, Christos N.
Author_Institution :
Div. of Inf. Transm. Syst. & Mater. Technol., Nat. Tech. Univ. of Athens, Athens, Greece
Abstract :
In this paper we present and to an extent analyze, findings from a real installation of broadband over power lines done by the Greek Public Power Corporation in the region of Larissa. The findings indicate the correlation between faulty equipment on the power networks and the signal-to-noise ratio of the power-line signal induced thus showing the possibility of developing a new method of fault recognition in power networks.
Keywords :
fault diagnosis; power cables; Greek Public Power Corporation; SNR analysis; fault recognition; power networks; power-line signal; signal-to-noise ratio; Broadband communication; Communication system control; Electrical fault detection; Energy management; Home appliances; Power grids; Power line communications; Signal to noise ratio; Smart grids; Temperature measurement; Bit rate; PLC; broadband over power lines (BPL); fault recognition; signal-to-noise ratio (SNR); throughput;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2009.2028478
