A study of surface partial discharge patterns relevant to the endurance of polymer films by means of a neural network

Author

Centurioni, L. ; Bozzo, R. ; Gemme, C. ; Guastavino, F.

Author_Institution

Dept. of Electr. Eng., Genoa Univ., Italy

fYear

1995

fDate

10-13 Jul 1995

Firstpage

334

Lastpage

338

Abstract

In this paper the use of a back propagation (BP) neural network, and the problems related to the number and to the type of the data most suitable for its training and validation are discussed. Two differently layered structures are presented, which enable one to realize the classification between different materials and to obtain the correlation of the partial discharge pattern to the relevant degradation time, while examples of the neural network outputs are illustrated

Keywords

backpropagation; electrical engineering computing; insulation testing; life testing; neural nets; organic insulating materials; partial discharges; pattern classification; polymer films; surface discharges; back propagation neural network; degradation time; insulation testing; layered structures; neural network; neural network outputs; partial discharge pattern; polymer films; surface partial discharge patterns; training; validation; Degradation; Dielectrics and electrical insulation; Electrodes; Neural networks; Partial discharges; Plastic insulation; Polymer films; Surface discharges; Testing; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Conduction and Breakdown in Solid Dielectrics, 1995. ICSD'95., Proceedings of the 1995 IEEE 5th International Conference on

Conference_Location

Leicester

Print_ISBN

0-7803-2040-9

Type

conf

DOI

10.1109/ICSD.1995.523004

Filename

523004