1.
| 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/
Rekord szczegółowy - Podobne rekordy |
2.
| 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/
Rekord szczegółowy - Podobne rekordy |
3.
| 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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4.
| 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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5.
| 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/
Rekord szczegółowy - Podobne rekordy |
6.
| 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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