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