DocumentCode :
3414190
Title :
Artificial Intelligence Tracing of Inherence Leakage Current between Power Line and Earth
Author :
Li Hua-Song ; Kang Wen-Xiong
Author_Institution :
Sch. of Inf. Eng., Wuyi Univ., Jiangmen, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
272
Lastpage :
275
Abstract :
The paper proposes an artificial intelligence method to trace inherence leakage current between power line and Earth, which can be used in history records of only one residual current (RC) detection point. Firstly, it gives the common topology structure of residual current detection in Low voltage power line and defines three ingredients in TLCE (Total Leakage Current to Earth): ILCE (Inherence Leakage Current to Earth), TLCES (Total Leakage Current to Earth after Sub-switch) and BLCE (Burst Leakage Current to Earth). Then the paper analyzes the features of those three ingredients of leakage current. Finally, it gives out an artificial intelligence method to trace inherence leakage current which can be used in leakage current alarm threshold adjustment of electric fire prevention system.
Keywords :
alarm systems; artificial intelligence; electrical safety; fires; leakage currents; power cables; power engineering computing; burst leakage current; electric fire prevention system; inherence artificial intelligence tracing; leakage current alarm threshold adjustment; leakage current tracing; low voltage power line; residual current detection; topology structure; Artificial intelligence; Earth; Fires; History; Leakage current; Power systems; Sparks; Electric fire; Inherence leakage current; Residual current;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.179
Filename :
5656456
Link To Document :
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