DocumentCode :
2038952
Title :
Application of neural networks paradigms in the diagnosis and thermal ageing prediction of transformer oil
Author :
Mokhnache, L. ; Boubakeur, A. ; Said, N. Nait
Author_Institution :
Dept. of Electr. Eng., Univ. of Batna, Algeria
fYear :
2002
fDate :
2002
Firstpage :
258
Lastpage :
261
Abstract :
In this paper we present the application of some artificial neural networks algorithms to the diagnosis and thermal ageing prediction of transformer oil. The simulation had been validated by experimental results.
Keywords :
ageing; insulation testing; neural nets; power engineering computing; power transformer insulation; power transformer testing; transformer oil; neural networks; prediction learning; thermal ageing prediction; transformer oil deterioration; transformer oil diagnosis; Aging; Costs; Dielectrics and electrical insulation; Intelligent networks; Laboratories; Neural networks; Oil insulation; Petroleum; Power transformer insulation; Thermal engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dielectric Liquids, 2002. ICDL 2002. Proceedings of 2002 IEEE 14th International Conference on
Print_ISBN :
0-7803-7350-2
Type :
conf
DOI :
10.1109/ICDL.2002.1022742
Filename :
1022742
Link To Document :
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