DocumentCode :
1726422
Title :
Identification of electrical tree growth in insulation systems by fuzzy logic techniques based on partial discharge acquisition
Author :
Conti, M. ; Cavallini, A. ; Montanari, G.C. ; Guastavino, F.
Author_Institution :
Dept. of Electr. Eng., Bologna Univ., Italy
Volume :
2
fYear :
2004
Firstpage :
661
Abstract :
Aim of this paper is to validate the effectiveness of an artificial intelligence technique devised for tree diagnosis in solid insulation systems. For this purpose, electrical and optical partial discharge (PD) measurements were carried out on specimens containing treed regions of different typologies ("bush" and "branch"). The results obtained by the above-mentioned diagnostic procedure were checked on the basis of the tree typology.
Keywords :
artificial intelligence; fuzzy logic; partial discharges; trees (electrical); artificial intelligence technique; branch-like trees; bush-like trees; electrical partial discharge; electrical tree growth; fuzzy logic technique; optical partial discharge; solid insulation system; tree diagnosis; tree typology; Artificial intelligence; Degradation; Dielectrics and electrical insulation; Electric variables measurement; Fuzzy logic; Needles; Partial discharge measurement; Partial discharges; Solids; Trees - insulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid Dielectrics, 2004. ICSD 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8348-6
Type :
conf
DOI :
10.1109/ICSD.2004.1350517
Filename :
1350517
Link To Document :
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