Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals (2020)
- Authors:
- USP affiliated authors: FLAUZINO, ROGÉRIO ANDRADE - EESC ; ALTAFIM, RUY ALBERTO CORRÊA - EESC ; LOPES, SOFIA MOREIRA DE ANDRADE - EESC ; GONÇALVES JÚNIOR, ARISMAR MORAIS - EESC
- Unidade: EESC
- DOI: 10.1049/iet-smt.2020.0186
- Subjects: TRANSFORMADORES E REATORES; FALHA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IET
- Publisher place: Hertz, United Kingdom
- Date published: 2020
- Source:
- Título: IET Science, Measurement & Technology
- ISSN: 1751-8822
- Volume/Número/Paginação/Ano: v. 14, n. 10, p. 913-922, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GONÇALVES JUNIOR, Arismar Morais et al. Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals. IET Science, Measurement & Technology, v. 14, n. 10, p. 913-922, 2020Tradução . . Disponível em: https://doi.org/10.1049/iet-smt.2020.0186. Acesso em: 02 out. 2024. -
APA
Gonçalves Junior, A. M., Paula, H. de, Boaventura, W. C., Lopes, S. M. de A., Flauzino, R. A., & Altafim, R. A. C. (2020). Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals. IET Science, Measurement & Technology, 14( 10), 913-922. doi:10.1049/iet-smt.2020.0186 -
NLM
Gonçalves Junior AM, Paula H de, Boaventura WC, Lopes SM de A, Flauzino RA, Altafim RAC. Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals [Internet]. IET Science, Measurement & Technology. 2020 ; 14( 10): 913-922.[citado 2024 out. 02 ] Available from: https://doi.org/10.1049/iet-smt.2020.0186 -
Vancouver
Gonçalves Junior AM, Paula H de, Boaventura WC, Lopes SM de A, Flauzino RA, Altafim RAC. Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals [Internet]. IET Science, Measurement & Technology. 2020 ; 14( 10): 913-922.[citado 2024 out. 02 ] Available from: https://doi.org/10.1049/iet-smt.2020.0186 - Incipient fault diagnosis in power transformers by data-driven models with over-sampled dataset
- A novel approach for incipient fault diagnosis in power transformers by artificial neural networks
- Análise da aderência do modelo de redes neurais artificiais para previsão de demanda de energia utilizando a função de autocorrelação
- Practical methodology for modeling and simulation of a lightning protection system using metal-oxide surge arresters for distribution lines
- Validation of thermoformed piezoelectret transducer for partial discharge detection in energized power transformers
- Desenvolvimento de método baseado em redes neurais profundas para estimação de demanda de curto prazo
- Desenvolvimento de sistema de monitoramento de condição de isolação para análise da performance de isoladores de alta tensão
- Expert intelligent system for grounding design optimization in distribution systems
- A fuzzy methodology to improve time series forecast of power demand in distribution systems
- Application of fuzzy system for analysis of lightning overvoltages and protection of distribution systems by surge arresters
Informações sobre o DOI: 10.1049/iet-smt.2020.0186 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | IET-SMT.2020.0186.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
