A framework for in-service life extension of hydroelectric generation assets (2022)
- Authors:
- USP affiliated authors: SOUZA, GILBERTO FRANCISCO MARTHA DE - EP ; MELANI, ARTHUR HENRIQUE DE ANDRADE - EP ; MICHALSKI, MIGUEL ANGELO DE CARVALHO - EP ; SILVA, RENAN FAVARÃO DA - EP
- Unidade: EP
- DOI: 10.1115/1.4055220
- Subjects: MANUTENÇÃO PREDITIVA; USINAS HIDRELÉTRICAS; CICLO DE VIDA; TOMADA DE DECISÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: ASCE-ASME Journal of risk and uncertainty in engineering systems, Part B: Mechanical engineering
- ISSN: 2332-9025
- Volume/Número/Paginação/Ano: v. 8, n. 4, p. 1-13, Dec. 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MELANI, Arthur Henrique de Andrade et al. A framework for in-service life extension of hydroelectric generation assets. ASCE-ASME Journal of risk and uncertainty in engineering systems, Part B: Mechanical engineering, v. 8, n. 4, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1115/1.4055220. Acesso em: 22 jan. 2026. -
APA
Melani, A. H. de A., Michalski, M. A. D. C., Silva, R. F. da, & Souza, G. F. M. de. (2022). A framework for in-service life extension of hydroelectric generation assets. ASCE-ASME Journal of risk and uncertainty in engineering systems, Part B: Mechanical engineering, 8( 4), 1-13. doi:10.1115/1.4055220 -
NLM
Melani AH de A, Michalski MADC, Silva RF da, Souza GFM de. A framework for in-service life extension of hydroelectric generation assets [Internet]. ASCE-ASME Journal of risk and uncertainty in engineering systems, Part B: Mechanical engineering. 2022 ; 8( 4): 1-13.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1115/1.4055220 -
Vancouver
Melani AH de A, Michalski MADC, Silva RF da, Souza GFM de. A framework for in-service life extension of hydroelectric generation assets [Internet]. ASCE-ASME Journal of risk and uncertainty in engineering systems, Part B: Mechanical engineering. 2022 ; 8( 4): 1-13.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1115/1.4055220 - A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
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- Applying principal component analysis for multi-parameter failure prognosis and determination of remaining useful life
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- Failure Mode and Observability Analysis (FMOA): an FMEA-based method to support fault detection and diagnosis
- Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems
- Reliability and risk centered maintenance: a novel method for supporting maintenance management
- A fault detection framework based on data-driven digital shadows
- Applying cluster analysis to support failure management policy selection in asset management: a hydropower plant case study
Informações sobre o DOI: 10.1115/1.4055220 (Fonte: oaDOI API)
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