Source: Engineering Computations. Unidade: EP
Subjects: VIBRAÇÕES DE MÁQUINAS, ELETRODINÂMICA, REDES NEURAIS, BANCO DE DADOS TEMPORAIS, FALHA
ABNT
FERRI, Gabriel Guilherme Bacca et al. Stacking deep learning models to analyse vibration and current signatures in rotating machinery. Engineering Computations, 2025Tradução . . Disponível em: https://doi.org/10.1108/EC-06-2024-0541. Acesso em: 24 abr. 2026.APA
Ferri, G. G. B., Tominaga, R. N., Avila, S. L., Monaro, R. M., Salles, M. B. de C., & Carmo, B. S. (2025). Stacking deep learning models to analyse vibration and current signatures in rotating machinery. Engineering Computations. doi:10.1108/EC-06-2024-0541NLM
Ferri GGB, Tominaga RN, Avila SL, Monaro RM, Salles MB de C, Carmo BS. Stacking deep learning models to analyse vibration and current signatures in rotating machinery [Internet]. Engineering Computations. 2025 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1108/EC-06-2024-0541Vancouver
Ferri GGB, Tominaga RN, Avila SL, Monaro RM, Salles MB de C, Carmo BS. Stacking deep learning models to analyse vibration and current signatures in rotating machinery [Internet]. Engineering Computations. 2025 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1108/EC-06-2024-0541
