Voltage fluctuation assessment with application of neural networks
Janik, P (Wroclaw University of Technology)
Abstract: The paper presents a contribution to voltage fluctuation assessment. The importance of automated power quality assessment, especially voltage fluctuation, is firstly shown. The SVM network is then introduced and considered as an appropriate tool for classification issues. The feature extraction for SVM classifier is done with application of space phasor. Disturbed signals were generated using a model build in Matlab. Finally, the results of classification of disturbed signals are presented.
Keyword(s): SVM network ; classification ; voltage fluctuation
Note: EEEIC 2008
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/173/files/
Cited by: try citation search for ENY-ARTICLE-2008-135
Record created 2008-04-22, last modified 2008-04-22
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