Title :
Protection of power system apparatus against arcing faults
Author :
Sidhu, T.S. ; Singh, Gurdeep ; Sachdev, M.S.
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
This paper presents a technique that detects the presence of arcing faults by analyzing the radiation produced due to arcing faults. Acoustic, infra-red and radio waves are recorded using appropriate sensors and a DSP-based data acquisition system. The recorded signals are then classified using artificial neural networks. The technique was implemented and tested in the laboratory. Some test results are also included in the paper
Keywords :
acoustic variables measurement; arcs (electric); data acquisition; fault location; infrared detectors; neural nets; power apparatus; power engineering computing; power system protection; radiowaves; signal classification; DSP-based data acquisition system; acoustic waves detection; arcing faults detection; artificial neural networks; infra-red waves detection; power system apparatus protection; radio waves; sensors; signals classification; Acoustic signal detection; Acoustic testing; Acoustic waves; Electrical fault detection; Fault detection; Infrared sensors; Power system analysis computing; Power system faults; Power system protection; Radiation detectors;
Conference_Titel :
TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control
Conference_Location :
New Delhi
Print_ISBN :
0-7803-4886-9
DOI :
10.1109/TENCON.1998.798221
