Detection of magnetizing inrush current using artificial neural network

Author

Chan Tat-Wai ; Chan Chee-Keong ; Gooi Hoay-Beng

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

754

Abstract

Describes the simulation of a neural network to detect magnetizing inrush currents on power transformers. The harmonic contents of the inrush current are captured using an FFT spectrum analyzer from a 1 kVA power transformer and are used for training of the network. Test results show that the number of network nodes can be reduced to only 6 for two layers to manipulate the harmonic contents. It is therefore suitable for real-time implementation.<>

Keywords

fast Fourier transforms; magnetisation; neural nets; power engineering computing; power transformers; spectral analysers; spectral analysis; virtual machines; 1 kVA; FFT spectrum analyser; artificial neural network simulation; harmonic contents; magnetizing inrush current detection; network nodes; network training; power transformer; real-time implementation; Artificial neural networks; Current transformers; Harmonic analysis; Neural networks; Power system protection; Power system relaying; Protective relaying; Signal analysis; Steady-state; Surge protection;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320077

Filename

320077