Efficient signal processing technique for information extraction and its applications in power systems (2016)
- Authors:
- USP affiliated authors: FLAUZINO, ROGÉRIO ANDRADE - EESC ; SILVA, IVAN NUNES DA - EESC ; COSTA, EDUARDO COELHO MARQUES DA - EP ; LIBONI, LUISA HELENA BARTOCCI - EP
- Unidades: EESC; EP
- DOI: 10.1016/j.epsr.2016.08.019
- Subjects: PROCESSAMENTO DE SINAIS; SISTEMAS ELÉTRICOS DE POTÊNCIA
- Language: Inglês
- Imprenta:
- Publisher place: Amsterdam, Netherlands
- Date published: 2016
- Source:
- Título: Electric Power Systems Research
- ISSN: 0378-7796
- Volume/Número/Paginação/Ano: v. 141, p. 538-548, Dec. 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LIBONI, Luisa Helena Bartocci et al. Efficient signal processing technique for information extraction and its applications in power systems. Electric Power Systems Research, v. 141, p. 538-548, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2016.08.019. Acesso em: 08 nov. 2024. -
APA
Liboni, L. H. B., Flauzino, R. A., Silva, I. N. da, Costa, E. C. M. da, & Suetake, M. (2016). Efficient signal processing technique for information extraction and its applications in power systems. Electric Power Systems Research, 141, 538-548. doi:10.1016/j.epsr.2016.08.019 -
NLM
Liboni LHB, Flauzino RA, Silva IN da, Costa ECM da, Suetake M. Efficient signal processing technique for information extraction and its applications in power systems [Internet]. Electric Power Systems Research. 2016 ; 141 538-548.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.epsr.2016.08.019 -
Vancouver
Liboni LHB, Flauzino RA, Silva IN da, Costa ECM da, Suetake M. Efficient signal processing technique for information extraction and its applications in power systems [Internet]. Electric Power Systems Research. 2016 ; 141 538-548.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.epsr.2016.08.019 - Efficient feature extraction technique for diagnosing broken bars in three-phase induction machines
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Informações sobre o DOI: 10.1016/j.epsr.2016.08.019 (Fonte: oaDOI API)
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