Title :
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
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;
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
DOI :
10.1109/TENCON.1993.320077
