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000000173 001__ 173
000000173 037__ $$aENY-ARTICLE-2008-135
000000173 041__ $$aeng
000000173 100__ $$aJanik, P$$uWroclaw University of Technology
000000173 245__ $$aVoltage fluctuation assessment with application of neural networks
000000173 260__ $$c2008-04-06
000000173 300__ $$a2p
000000173 500__ $$aEEEIC 2008
000000173 520__ $$aThe paper presents a contribution to voltage fluctuation assessment. The importance of automated power quality assessment, especially voltage fluctuation, is firstly shown. The SVM network is then introduced and considered as an appropriate tool for classification issues. The feature extraction for SVM classifier is done with application of space phasor. Disturbed signals were generated using a model build in Matlab. Finally, the results of classification of disturbed signals are presented.
000000173 6531_ $$aSVM network
000000173 6531_ $$aclassification
000000173 6531_ $$avoltage fluctuation
000000173 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000173 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/173/files/$$zAccess to Fulltext
000000173 909CO $$ooai:zet10.pwr.wroc.pl:173$$pglobal
000000173 980__ $$aARTICLE