Risk management of physical assets supported by maintenance performance indicators (2024)
- Authors:
- USP affiliated authors: SILVA, RENAN FAVARÃO DA - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP ; MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; NABETA, SILVIO IKUYO - EP
- Unidade: EP
- DOI: 10.3390/su16146132
- Subjects: INDICADORES DE PRODUTIVIDADE; ADMINISTRAÇÃO DE RISCO; USINAS HIDRELÉTRICAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Sustainability
- ISSN: 2071-1050
- Volume/Número/Paginação/Ano: v.16, p. 1-18, article nº 6132, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Renan Favarão da et al. Risk management of physical assets supported by maintenance performance indicators. Sustainability, v. 16, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.3390/su16146132. Acesso em: 22 fev. 2026. -
APA
Silva, R. F. da, Melani, A. H. de A., Michalski, M. A. D. C., Souza, G. F. M. de, & Nabeta, S. I. (2024). Risk management of physical assets supported by maintenance performance indicators. Sustainability, 16, 1-18. doi:10.3390/su16146132 -
NLM
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de, Nabeta SI. Risk management of physical assets supported by maintenance performance indicators [Internet]. Sustainability. 2024 ;16 1-18.[citado 2026 fev. 22 ] Available from: https://doi.org/10.3390/su16146132 -
Vancouver
Silva RF da, Melani AH de A, Michalski MADC, Souza GFM de, Nabeta SI. Risk management of physical assets supported by maintenance performance indicators [Internet]. Sustainability. 2024 ;16 1-18.[citado 2026 fev. 22 ] Available from: https://doi.org/10.3390/su16146132 - Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: a hydropower plant case study
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- Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems
- Applying an unsupervised machine learning method for defining maintenance significant items
- Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study
Informações sobre o DOI: 10.3390/su16146132 (Fonte: oaDOI API)
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