Title :
Arc fault detection based on wavelet packet
Author :
Li, Wen-Jun ; Li, Yuan-Chun
Author_Institution :
Dept. of Control Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
Methods of arc fault detection are beginning to develop to protect against conditions that may cause fire on aircraft. This paper provides a new method for the detection of arc fault based on wavelet packet transform. Wavelet packets with automatically adjusted time windows are used to distinguished arc fault from non-arcing fault transient phenomena and conditions similar to an arc signal. The simulation studies have demonstrated that the proposed method is reliable and simple.
Keywords :
aircraft power systems; fault location; wavelet transforms; aircraft; arc fault detection; fault transients; nonarcing fault transient phenomena; wavelet packet transform; Aircraft; Circuit faults; Fault detection; Fires; Protection; Signal analysis; Signal processing; Wavelet analysis; Wavelet packets; Wavelet transforms; Arc fault; Extinction and re-ignition; Fault transients; Wavelet packet;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527234
