Title :
Frequency phenomenon and algorithms for arc detection
Author :
Phipps, Kermit ; Cooke, Thomas ; Dorr, Doug ; Keebler, Philip
Author_Institution :
Power Delivery & Utilization Sector, Electr. Power Res. Inst., Knoxville, TN, USA
Abstract :
Successful detection of power line arcing requires various algorithms from frequency domain to time domain analysis. This paper explores frequency phenomenon that when analysed with a defined set of algorithms can distinguish between arcing noise and typical power line noise associated with distribution hardware and various noise-generating loads. These techniques may be applied to measuring conducted and radiated emissions in the electromagnetic environment. They may also be applied to H and E fields resulting from the spreading of distribution lines within a secondary power-distribution system down inside a manhole. The promising quick detection and identification from laboratory and actual field measurements is necessary and critical to ensure life-safety for manhole workers during maintenance activities.
Keywords :
arcs (electric); electrical safety; power distribution lines; power system measurement; signal processing; arc detection; arcing noise; distribution hardware; distribution lines; electromagnetic environment; frequency phenomenon; manhole worker life safety; noise generating loads; power line arcing detection; power line noise; radiated emission; secondary power distribution system; time domain analysis; Conductors; Laboratories; Noise; Power systems; Signal processing algorithms; Time domain analysis; Time frequency analysis;
Conference_Titel :
Electromagnetic Compatibility (EMC), 2010 IEEE International Symposium on
Conference_Location :
Fort Lauderdale, FL
Print_ISBN :
978-1-4244-6305-3
DOI :
10.1109/ISEMC.2010.5711268