Title :
Detection of electrical series arcs using time-frequency analysis and mathematical morphology
Author :
Leprettre, B. ; Rebière, Y.
Author_Institution :
Schneider Electr. Industries, Grenoble, France
Abstract :
A method for detecting series arcs from time-frequency analysis of the current derivative is proposed. Mathematical morphology is used to select arc features from the time-frequency representation. The proposed method has been validated on a large set of signals from various difficult electrical loads. It proves successful in separating the series arcs from the perturbations produced by the load. Furthermore, it can easily be implemented for real-time processing
Keywords :
arcs (electric); feature extraction; mathematical morphology; signal detection; signal representation; time-frequency analysis; arc features extraction; electrical loads; electrical series arcs detection; load perturbations; mathematical morphology; real-time processing; time-frequency analysis; time-frequency representation; Acoustic sensors; Acoustic signal detection; Feeds; Morphology; Research and development; Signal processing; Time frequency analysis; Welding; Wideband; Wire;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950176
