DocumentCode
3488828
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
Volume
2
fYear
2001
fDate
2001
Firstpage
446
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location
Kuala Lumpur
Print_ISBN
0-7803-6703-0
Type
conf
DOI
10.1109/ISSPA.2001.950176
Filename
950176
Link To Document