Electrical Engineering Wroclaw University of Technology

Electrical Engineering Wroclaw University of Technology 10 records found  Search took 0.00 seconds. 
1.
Voltage fluctuation assessment with application of neural networks / Janik, P [ENY-ARTICLE-2008-135]
The paper presents a contribution to voltage fluctuation assessment. [...]
http://zet10.ipee.pwr.wroc.pl/record/173/files/
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2.
Automated Classification of Power Quality Disturbances using SVM and RBF Networks / Janik, P ; Lobos, T [ENY-ARTICLE-2009-239]
The authors propose a new method of power quality classification using SVM (Support Vector Machine) neural networks. [...]
http://zet10.ipee.pwr.wroc.pl/record/300/files/
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3.
RBF and SVM Neural Networks for Power Quality Disturbances Analysis / Janik, P ; Lobos, T ; Schegner, P [ENY-ARTICLE-2008-053]
This paper presents classification results of different power quality disturbances. [...]
http://zet10.ipee.pwr.wroc.pl/record/62/files/
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4.
Automatic Fault Classification in Power Electronics Using Time-Frequency Distribution and Neural Networks / Leonowicz, Z ; Lobos, T [RZ I07/2003/I-077] [ENY-ARTICLE-2009-249]
A new method of fault analysis and detection by signal classification in frequency converters is presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/310/files/
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5.
Wind Power Generation-related Power Quality Issues / Lu, Y [ENY-ARTICLE-2008-144]
As a promising renewable alternative, the wind power is highly expected to contribute a significant part of generation in power systems in the future, but this also bring new integration related power quality issues, which mainly consist of power flow fluctuation analyzed with current, voltage fluctuation and flicker severity factor (P lt and P st ) as ‘ case study ’ , by its comparatively new characteristics, due to the fluctuation nature of the wind (velocity) and the comparatively new type of its generators (currently popular type of squirrel-cage induction). [...]
http://zet10.ipee.pwr.wroc.pl/record/182/files/
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6.
Analysis of influence of power quality disturbances using a neuro-fuzzy systems / Janik, P ; Leonowicz, Z ; Lobos, T ; Waclawek, Z [RZ I07/2007/I-025] [ENY-ARTICLE-2008-172]
The authors propose an automated neuro-fuzzy system approach (with neural network subsystem) to power quality assessment incorporating equipment susceptibility patterns. [...]
http://zet10.ipee.pwr.wroc.pl/record/221/files/
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7.
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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8.
Assessment of Transients in Power System with Wind Generators by Application of Prony Method / Janik, P ; Rezmer, J ; Lobos, T [ENY-ARTICLE-2008-062]
Wind power installations impact on power quality is crucial for power system operation. [...]
http://zet10.ipee.pwr.wroc.pl/record/71/files/
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9.
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. [...]
http://zet10.ipee.pwr.wroc.pl/record/12/files/
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10.
Parametric methods for time-frequency analysis of electric signals / Leonowicz, Z [ISSN 0324-945x] [ENY-BOOK-2008-001]
The author presents a new approach to spectral analysis of electric signals and related problems encountered in power systems. [...]
http://zet10.ipee.pwr.wroc.pl/record/11/files/
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