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|metadata.artigo.dc.title:||Classification of multiple and single power quality disturbances using a decision tree-based approach|
|metadata.artigo.dc.creator:||Barbosa, Bruno Henrique Groenner|
Ferreira, Danton Diego
Energia - Qualidade
Árvore de decisão
Distúrbios de energia
|metadata.artigo.dc.identifier.citation:||BARBOSA, 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.|
|metadata.artigo.dc.description.abstract:||This 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.|
|Appears in Collections:||DEG - Artigos publicados em periódicos|
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