DocumentCode
3509036
Title
Restoring current signals in real time using feedforward neural nets
Author
Braun, U. ; Feser, K.
Author_Institution
Stuttgart Univ., Germany
fYear
1993
fDate
1993
Firstpage
441
Lastpage
446
Abstract
The paper reports about the application of artificial neural networks (ANN) as nonlinear filters. The ANNs are used to restore current waveforms distorted by saturation of current transducers. The paper presents the progress in this application of ANN.
Keywords
feedforward neural nets; learning (artificial intelligence); power system computer control; power system protection; power system restoration; real-time systems; AI; application; busbar protection; current transducers; current waveforms; digital control; feedforward neural nets; learning; nonlinear filters; power system restoration; real time; saturation; Artificial neural networks; Convergence; Ear; Feedforward neural networks; Filters; Neural networks; Nonlinear distortion; Protection; Relays; Signal restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location
Yokohama, Japan
Print_ISBN
0-7803-1217-1
Type
conf
DOI
10.1109/ANN.1993.264308
Filename
264308
Link To Document