A Methodology for Risk Analysis Based on Hybrid Bayesian Networks: Application to the Regasification System of Liquefied Natural Gas Onboard a Floating Storage and Regasification Unit
- Author
- MARTINS, Marcelo Ramos1 ; SCHLEDER, Adriana Miralles1 ; DROGUETT, Enrique López2
[1] Risk Assessment Laboratory - LabRisk, Naval Architecture and Ocean Engineering Department, University of São Paulo, São Paulo, Brazil
[2] Production Engineering Department, Federal University of Pernambuco, 123 - Cidade Universitária, PE, 50670-901, Brazil - Source
Risk analysis. 2014, Vol 34, Num 12, pp 2098-2120, 23 p ; ref : 48 ref
- Publisher
- Wiley, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Bayesian networks FSRU LNG regasification reliability analysis risk analysis
- Keyword (fr)
- Analyse risque Application Fiabilité GNL Méthodologie Regazéification Réseau Bayes Stockage Système flottant Sécurité
- Keyword (en)
- Risk analysis Application Reliability LNG Methodology Regasification Bayes network Storage Floating system Safety
- Keyword (es)
- Análisis riesgo Aplicación Fiabilidad GNL Metodología Regasificación Red Bayes Almacenamiento Sistema flotante Seguridad
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A02 Staff. Occupational work. Work management. Control. Safety. Accidents. Professional diseases
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29121139
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/risa.12245 
https://dx.doi.org/10.1111/risa.12245
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