Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation (2024)
- Authors:
- USP affiliated authors: MACIEL, CARLOS DIAS - EESC ; CAETANO, HENRIQUE DE OLIVEIRA - EESC ; DESUÓ NETO, LUIZ - EESC ; FOGLIATTO, MATHEUS DE SOUZA SANT'ANNA - EESC
- Unidade: EESC
- DOI: 10.1016/j.ress.2023.109691
- Assunto: ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: London, United Kingdom
- Date published: 2024
- Source:
- Título: Reliability Engineering and System Safety
- ISSN: 0951-8320
- Volume/Número/Paginação/Ano: v. 241, article 109691, p. 1-22, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CAETANO, Henrique de Oliveira et al. Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation. Reliability Engineering and System Safety, v. 241, p. 1-22, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ress.2023.109691. Acesso em: 22 jan. 2026. -
APA
Caetano, H. de O., Desuó Neto, L., Fogliatto, M. de S. S. 'A., & Maciel, C. D. (2024). Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation. Reliability Engineering and System Safety, 241, 1-22. doi:10.1016/j.ress.2023.109691 -
NLM
Caetano H de O, Desuó Neto L, Fogliatto M de SS'A, Maciel CD. Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation [Internet]. Reliability Engineering and System Safety. 2024 ; 241 1-22.[citado 2026 jan. 22 ] Available from: http://dx.doi.org/10.1016/j.ress.2023.109691 -
Vancouver
Caetano H de O, Desuó Neto L, Fogliatto M de SS'A, Maciel CD. Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation [Internet]. Reliability Engineering and System Safety. 2024 ; 241 1-22.[citado 2026 jan. 22 ] Available from: http://dx.doi.org/10.1016/j.ress.2023.109691 - A multilevel crews patrolling framework for distribution system recovering
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Informações sobre o DOI: 10.1016/j.ress.2023.109691 (Fonte: oaDOI API)
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