1.
| ANN-based Detection of OS Conditions in Power System
/ Rebizant, W
[I08/2000/I-133]
[ENY-ARTICLE-2008-152]
In the paper a new neural network based out-of-step protection scheme is presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/194/files/
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2.
| Statistics of Short-Circuit Signals for Power System Protection Purposes
/ Rebizant, W ; Szafran, J ; Feser, K ; Oechsle, F
[I08/2000/I-134]
[ENY-ARTICLE-2008-153]
Basic ideas of probability and statistics with application to chosen power system protection problems are presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/195/files/
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3.
| Out-of-Step Protection with AI Methods
/ Rebizant, W ; Feser, K
[I08/2001/I-033]
[ENY-ARTICLE-2008-161]
In the paper the results of investigations on the application of Artificial Intelligence (AI) methods to the out-ofstep (OS) protection of synchronous machines are presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/208/files/
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4.
| Current Transformer Saturation Detection with Genetically Optimized Neural Networks
/ Rebizant, W ; Bejmert, D
[ENY-ARTICLE-2008-146]
Application of the genetic algorithm (GA) for optimization of artificial neural network (ANN) based CT saturation detector is presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/185/files/
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5.
| Prediction of CT saturation period for differential relay adaptation purposes
/ Rebizant, W ; Hayder, T ; Schiel, L
[ENY-ARTICLE-2008-147]
A new approach to CT saturation assessment is presented in the paper. [...]
http://zet10.ipee.pwr.wroc.pl/record/186/files/
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