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
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