Electrical Engineering Wroclaw University of Technology

Electrical Engineering Wroclaw University of Technology 11 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
1.
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. [...]
http://zet10.ipee.pwr.wroc.pl/record/161/files/
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2.
Neural networks for real-time estimation of parameters of signals in power systems / Cichocki, A ; Kostyla, P ; Lobos, T ; Waclawek, Z [I07/1994/I-184] [ENY-ARTICLE-2008-087]
Fast determination of parameters of the fundamental waveform of voltages and currents is essential for the control and protection of electrical power systems. [...]
http://zet10.ipee.pwr.wroc.pl/record/105/files/
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3.
Neural networks for real-time estimation of parameters of signals in power systems / Cichocki, A ; Kostyla, P ; Lobos, T ; Waclawek, Z [I07/1999/I-402] [ENY-ARTICLE-2008-068]
The purpose of this paper is to present new algorithms and along with them new architectures of analogue neuron-like adaptive processors for online estimation of parameters of sinusoidal signals, which are distorted by higher harmonics and corrupted by noise. [...]
http://zet10.ipee.pwr.wroc.pl/record/77/files/
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4.
Adaptive Neural Networks for Robust Estimation of parameters of Noisy Harmonic Signals / Cichocki, A ; Kostyla, P ; Lobos, T ; Waclawek, Z [I07/96/I-278] [ENY-ARTICLE-2008-054]
In many applications, very fast methods are required for estimating and measurement of parameters of harmonic signals distorted by noise. [...]
http://zet10.ipee.pwr.wroc.pl/record/63/files/
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5.
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. [...]
http://zet10.ipee.pwr.wroc.pl/record/151/files/
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6.
Adaptive and intelligent systems for generator monitoring and protection purposes / Rebizant, W ; Szafran, J ; Lee, S J ; Kang, S H [ENY-ARTICLE-2008-148]
New adaptive scheme for signal parameter measurement for generator monitoring and protection is presented. [...]
http://zet10.ipee.pwr.wroc.pl/record/187/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.
Real-Time Parameter Estimation of Signals in Converter Fed Drives using Adaptive Neural Networks / Lobos, T ; Koglin, H J ; Waclawek, Z [ENY-ARTICLE-2008-031]
Frequency converter-fed induction motor drives were simulated using the EMTP-ATP (Electromagnetic Transients Program - Alternative Transients Program) The aim of the simulation investigations is to develop a feasible method for drive visualisation and for diagnosis of different unsymmetrical operations. [...]
http://zet10.ipee.pwr.wroc.pl/record/38/files/
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9.
Artificial rain test of outdoor long rod insulators / Chrzan, K L ; Streubel, H [ISBN 978-0-620-44584-9] [ENY-ARTICLE-2009-279]
Due to the decrease of industrial contamination emission nearly the whole territory of Poland belongs to the pollution class light. [...]
http://zet10.ipee.pwr.wroc.pl/record/347/files/
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10.
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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