DocumentCode :
3076977
Title :
Study on the Fault Arc On-line Detecting Based on Wavelet Singularity Detection Principle
Author :
Yi, Yang ; Qiongfang, Yu ; Aihua, Dong ; Dezhong, Zheng
Author_Institution :
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
Volume :
2
fYear :
2009
fDate :
10-11 July 2009
Firstpage :
151
Lastpage :
154
Abstract :
For the current value of fault arc can not make protection devices action, the fault arc can not be found easily and cut off timely when the arc is come into being in power supply line. Therefore, it is very necessary to research the reliable and effective method for detecting fault arc. Through the simulation experiments to the fault arc, found an important characteristic of fault arc, that is the arc would present cyclical singular paints when it is burning smoothly. According to this characteristic of fault arc, applying the singularity detection principle of the wavelet transform, studied the detecting method of fault arc in power supply line. Through the imitation and comparison of the test data, the fault arc´s detecting method based on wavelet singularity detection principle shows remarkable effect to improve the reliability of fault arc detection.
Keywords :
arcs (electric); fault diagnosis; power supply circuits; wavelet transforms; cyclical singular paint; fault arc on-line detection method; power supply circuit; power supply line; simulation; wavelet singularity detection principle; wavelet transform; Arc discharges; Circuits; Contacts; Electrical fault detection; Fault detection; Power supplies; Sparks; Switches; Temperature; Voltage; fault arc; on-line detecting; wavelet singularity detection principle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Chanxi
Print_ISBN :
978-0-7695-3679-8
Type :
conf
DOI :
10.1109/ICIE.2009.130
Filename :
5211454
Link To Document :
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