Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings

Author

Dhlamini, Sizwe M. ; Marwala, Tshilidzi ; Majozi, Thokozani

Author_Institution

Distribution Technol., Germiston

Volume

2

fYear

2006

fDate

8-11 Oct. 2006

Firstpage

1331

Lastpage

1336

Abstract

rdquoThe work proposes the application of fuzzy set theory (FST) to diagnose the condition of high voltage bushings. The diagnosis uses dissolved gas analysis (DGA) data from bushings based on IEC60599 and IEEE C57-104 criteria for oil impregnated paper (OIP) bushings. FST and neural networks are compared in terms of accuracy and computational efficiency. Both FST and NN simulations were able to diagnose the bushings condition with 10% error. By using fuzzy theory, the maintenance department can classify bushings and know the extent of degradation in the component.

Keywords

bushings; fuzzy set theory; multilayer perceptrons; power engineering computing; HV bushings diagnosis; IEC60599; IEEE C57-104 criteria; dissolved gas analysis; fuzzy set theory; high voltage bushings; multilayer perceptron; oil impregnated paper bushings; Computational efficiency; Computational modeling; Degradation; Dissolved gas analysis; Fuzzy set theory; Insulators; Multilayer perceptrons; Neural networks; Petroleum; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

1-4244-0099-6

Electronic_ISBN

1-4244-0100-3

Type

conf

DOI

10.1109/ICSMC.2006.384900

Filename

4274034