Title :
Neural networks in prediction of accelerated thermal ageing effect on oil/paper insulation tensile strength
Author :
Mokhnache, L. ; Verma, P. ; Boubakeur, A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Batna, Algeria
Abstract :
The ageing process of insulation can be monitored by several properties measurements, which need long test period to have a complete database to predict the dielectric behaviour of the HV insulation. The main purpose of insulation monitoring is to limit stoppage of electric service by giving the information on dielectric deterioration leading to a failure of HV equipment. Prediction of transformer oil/paper thermal ageing may help considerably to improve its maintenance. When the oil is in contact with paper, the BDV of oil shows increasing trend for short period.
Keywords :
ageing; dielectric materials; insulation testing; neural nets; paper; process monitoring; tensile strength; transformer oil; dielectric deterioration; dielectric properties; insulation monitoring; neural networks; oil-paper insulation; tensile strength; thermal ageing effect; transformer oil; Accelerated aging; Condition monitoring; Databases; Dielectric measurements; Dielectrics and electrical insulation; Insulation testing; Neural networks; Oil insulation; Petroleum; Power transformer insulation;
Conference_Titel :
Solid Dielectrics, 2004. ICSD 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8348-6
DOI :
10.1109/ICSD.2004.1350496
