Dynamic safety assessment: Scenario identification via a possibilistic clustering approach

Reliability Engineering and System Safety

Volumn 95, Issue 5, 2010, Pages 534-549

  Podofillini, L ^a   Zio, E ^b   Mercurio, D ^a   Dang, V N ^a  

^a PAUL SCHERRER INSTITUTE   (Switzerland)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Dynamic reliability; Dynamic risk assessment; Dynamic safety assessment; Fuzzy clustering; Monte Carlo

Indexed keywords

AMOUNT OF INFORMATION; DYNAMIC RELIABILITY; DYNAMIC SAFETY ASSESSMENTS; DYNAMIC SIMULATION; DYNAMIC SYSTEMS; EXOTHERMIC PROCESS; HUMAN OPERATOR; MONTE CARLO; MONTE CARLO SIMULATION; PHYSICAL BEHAVIORS; POSSIBILISTIC CLUSTERING; POST PROCESSING; PROCESS DYNAMICS; PROCESS EVOLUTION; PROCESS VARIABLES; RELIABILITY METHODOLOGY; SAFETY ANALYSIS; SEQUENCE OF EVENTS; STATE TRANSITIONS; STOCHASTIC PROCESS; SYSTEM EVOLUTION; SYSTEM STATE;

BATCH REACTORS; COMPUTER SIMULATION; DYNAMICAL SYSTEMS; FLOW OF SOLIDS; FUZZY CLUSTERING; FUZZY SYSTEMS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; QUALITY ASSURANCE; RANDOM PROCESSES; RELIABILITY; RISK ASSESSMENT; RISK MANAGEMENT; SECURITY SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

DYNAMIC RESPONSE;

EID: 77649185874     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2010.01.004     Document Type: Article

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