Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/15432
metadata.artigo.dc.title: A method based on independent component analysis for single and multiple power quality disturbance classification
metadata.artigo.dc.creator: Ferreira, Danton Diego
Seixas, José M. de
Cerqueira, Augusto Santiago
metadata.artigo.dc.subject: Electric power quality
Independent component analysis
Disturbance
Classification
Single channel
Signal decomposition
metadata.artigo.dc.publisher: Elsevier Sequoia
metadata.artigo.dc.date.issued: 2015
metadata.artigo.dc.identifier.citation: FERREIRA, D. D.; SEIXAS, J. M. de; CERQUEIRA, A. S. A method based on independent component analysis for single and multiple power quality disturbance classification. Electric Power Systems Research, Lausanne, v. 119, p. 425-431, Feb. 2015.
metadata.artigo.dc.description.abstract: This paper proposes a method based on single channel independent component analysis for single and multiple power quality disturbance classification. The proposed method decouples the power system signal into its independent components, which are classified by specialized classifiers. The classifier outputs are combined by using a logic that gives the final classification. Five classes of single disturbances and twelve of multiple disturbances are considered and a classification efficiency above 97% is achieved for each event class. Both qualitative and quantitative analysis elucidate the efficiency of the proposed method. Results are obtained from both simulated and experimental signals.
metadata.artigo.dc.identifier.uri: http://www.sciencedirect.com/science/article/pii/S037877961400399X
repositorio.ufla.br/jspui/handle/1/15432
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos

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