A novel approach to defining maintenance significant items: a hydro generator case study (2020)
- Authors:
- USP affiliated authors: NETTO, ADHERBAL CAMINADA - EP ; SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; NABETA, SILVIO IKUYO - EP ; MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP
- Unidade: EP
- DOI: 10.3390/en13236273
- Subjects: USINAS HIDRELÉTRICAS; ADMINISTRAÇÃO DA QUALIDADE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
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ABNT
CAMINADA NETTO, Adherbal et al. A novel approach to defining maintenance significant items: a hydro generator case study. Energies, v. No 2020, n. 23, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/en13236273. Acesso em: 02 jan. 2026. -
APA
Caminada Netto, A., Melani, A. H. de A., Michalski, M. A. de C., Souza, G. F. M. de, Nabeta, S. I., & Murad, C. A. (2020). A novel approach to defining maintenance significant items: a hydro generator case study. Energies, No 2020( 23), 1-20. doi:10.3390/en13236273 -
NLM
Caminada Netto A, Melani AH de A, Michalski MA de C, Souza GFM de, Nabeta SI, Murad CA. A novel approach to defining maintenance significant items: a hydro generator case study [Internet]. Energies. 2020 ; No 2020( 23): 1-20.[citado 2026 jan. 02 ] Available from: https://doi.org/10.3390/en13236273 -
Vancouver
Caminada Netto A, Melani AH de A, Michalski MA de C, Souza GFM de, Nabeta SI, Murad CA. A novel approach to defining maintenance significant items: a hydro generator case study [Internet]. Energies. 2020 ; No 2020( 23): 1-20.[citado 2026 jan. 02 ] Available from: https://doi.org/10.3390/en13236273 - Fuzzy-FMSA: evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic
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- Equipment failure prediction based on neural network analysis incorporating maintainers inspection finding
- Risk management of physical assets supported by maintenance performance indicators
Informações sobre o DOI: 10.3390/en13236273 (Fonte: oaDOI API)
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