Adaptive filter bank based on Independent Component Analysis for harmonic, inter-harmonic and sub-harmonic extraction

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorRufino Júnior, Carlos Antônio-
Autor(es): dc.creatorLima, Marcelo Antônio Alves-
Autor(es): dc.creatorMendes, Thais Martins-
Autor(es): dc.creatorMonteiro, Henrique Luis Moreira-
Autor(es): dc.creatorFerreira, Danton Diego-
Data de aceite: dc.date.accessioned2026-02-09T11:52:25Z-
Data de disponibilização: dc.date.available2026-02-09T11:52:25Z-
Data de envio: dc.date.issued2022-10-24-
Data de envio: dc.date.issued2022-10-24-
Data de envio: dc.date.issued2022-07-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/55335-
Fonte completa do material: dc.identifierhttps://doi.org/10.1007/s00034-022-02114-3-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1149336-
Descrição: dc.descriptionIn the present work, an adaptive filter bank based on independent component analysis (ICA) for harmonic, inter-harmonic and sub-harmonic extraction from voltage signals is proposed. The first stage of the proposed method comprises in generating a multi-channel data representation by using a finite impulse response (FIR) filter bank. In the second stage, this multi-channel representation is presented to the ICA algorithm, which extracts the harmonic, sub-harmonic and inter-harmonic components from the monitored signal. The method was evaluated with three simulated cases, considering harmonics, inter-harmonics, sub-harmonics and voltage sag, and a real signal acquired from a 13.8 kV arc furnace corrupted by harmonics, supra-harmonics, flicker and sag. The influence of noise and disturbances, the size of the processing signal window and the computational complexity of the proposed method were investigated. The results showed that the method was able to extract the disturbance components present in the signal accurately and with lower computationally complexity in comparison with the classical ICA-based method.-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer Nature-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceCircuits, Systems and Signal Processing-
Palavras-chave: dc.subjectHarmonics-
Palavras-chave: dc.subjectInter-harmonics-
Palavras-chave: dc.subjectSub-harmonics-
Palavras-chave: dc.subjectIndependent components analysis-
Palavras-chave: dc.subjectFilter bank-
Palavras-chave: dc.subjectHarmônicos-
Palavras-chave: dc.subjectInter-harmônicos-
Palavras-chave: dc.subjectSub-harmônicos-
Palavras-chave: dc.subjectAnálise de componentes independentes-
Palavras-chave: dc.subjectEnergia elétrica - Qualidade-
Título: dc.titleAdaptive filter bank based on Independent Component Analysis for harmonic, inter-harmonic and sub-harmonic extraction-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.