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dc.creatorBarbosa, Bruno Henrique Groenner-
dc.creatorFerreira, Danton Diego-
dc.identifier.citationBARBOSA, B. H. G.; FERRERA, D. D. Classification of multiple and single power quality disturbances using a decision tree-based approach. Journal of Control, Automation and Electrical Systems, [S. l.], v. 24, n. 5, p. 638–648, Oct. 2013.pt_BR
dc.description.abstractThis paper presents a new approach for power quality (PQ) disturbance classification. In order to classify both single and multiple disturbances, the principle of divide-and-conquer is employed and a tree structure is constructed by means of simple classifiers: Perceptrons and a Bayesian classifier. Aiming at reducing its computational cost, only six parameters extracted from the filtered electrical signal are used by the final classifier. Such parameters are the second-order cumulants and the RMS value. Results show that the proposed approach can classify many types of PQ disturbances with good accuracy even for different values of signal-to-noise ratio and for real data.pt_BR
dc.sourceJournal of Control, Automation and Electrical Systemspt_BR
dc.subjectPower qualitypt_BR
dc.subjectDecision treept_BR
dc.subjectPower disturbancespt_BR
dc.subjectEnergia - Qualidadept_BR
dc.subjectÁrvore de decisãopt_BR
dc.subjectDistúrbios de energiapt_BR
dc.titleClassification of multiple and single power quality disturbances using a decision tree-based approachpt_BR
Appears in Collections:DEG - Artigos publicados em periódicos

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