Repozytorium Eny Politechnika Wrocławska

Repozytorium W. Elektrycznego Politechniki Wrocławskiej Znaleziono 8 rekordów  Szukanie trwało 0.02 sekund. 
1. Probabilistic Analysis of Voltage Deviations in the Distribution Network with Small Synchronous Generators / Sobierajski, M ; Rojewski, W [ENY-ARTICLE-2009-245]
Fulfilling voltage quality requirements may produce the bottleneck of sending the whole local generation to the medium voltage network. [...]
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2. 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. [...]
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3. 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. [...]
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4. 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. [...]
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5. Voltage fluctuation assessment with application of neural networks / Janik, P [ENY-ARTICLE-2008-135]
The paper presents a contribution to voltage fluctuation assessment. [...]
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6. Artificial Neural Network for Real-Time Estimation of Basic Parameter of Signals / Kostyla, P [ENY-ARTICLE-2008-123]
This paper presents for students instructions to using parallel algorithms, which can be implemented by analogue adaptive circuits employing some neural networks principles for estimation of parameters of signals in power system. [...]
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7. Neural networks for real-time estimation of the basic waveforms of voltages and currents encountered in power systems / Cichocki, A ; Lobos, T [I07/1993/I-141] [ENY-ARTICLE-2008-116]
An electronic artificial neural network architecture is presented for estimating the parameters of a sine wave distorted by a DC exponential signal and corrupted by noise. [...]
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8. Classification of low voltage distribution networks by means of voltage distortion. / Schegner, P ; Meyer, J ; Lobos, T ; Waclawek, Z ; et al [RZ I07/05/I-033] [ENY-ARTICLE-2008-010]
Determination of power quality becomes more and more important in the future. [...]
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