Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers (2025)
- Authors:
- Autor USP: BASSI, WELSON - IEE
- Unidade: IEE
- Assunto: SISTEMAS ELÉTRICOS DE POTÊNCIA
- Language: Inglês
- Imprenta:
- Source:
- Título: Machine Learning and Knowledge Extraction
- Volume/Número/Paginação/Ano: v.7, n.3, p.art.102/1-22, sep. 2025
-
ABNT
GIFALLI, Andre et al. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers. Machine Learning and Knowledge Extraction, v. 7, n. 3, p. se 2025, 2025Tradução . . Disponível em: https://doi.org/10.3390/make7030102. Acesso em: 02 fev. 2026. -
APA
Gifalli, A., Ikeshoji, M. A., Gastaldello, D. S., Yamaguchi, V. H. S., Bassi, W., Mazon, T., et al. (2025). Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers. Machine Learning and Knowledge Extraction, 7( 3), se 2025. Recuperado de https://doi.org/10.3390/make7030102 -
NLM
Gifalli A, Ikeshoji MA, Gastaldello DS, Yamaguchi VHS, Bassi W, Mazon T, Torres Neto F, Costa Junior P da, Souza AN. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers [Internet]. Machine Learning and Knowledge Extraction. 2025 ;7( 3): se 2025.[citado 2026 fev. 02 ] Available from: https://doi.org/10.3390/make7030102 -
Vancouver
Gifalli A, Ikeshoji MA, Gastaldello DS, Yamaguchi VHS, Bassi W, Mazon T, Torres Neto F, Costa Junior P da, Souza AN. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers [Internet]. Machine Learning and Knowledge Extraction. 2025 ;7( 3): se 2025.[citado 2026 fev. 02 ] Available from: https://doi.org/10.3390/make7030102 - Caracterização de equipamentos e instalações residenciais de baixa tensão aplicada ao estudo de transitórios de origem atmosférica
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