A novel Bayesian framework for uncertainty management in physics-based reliability models

ASME International Mechanical Engineering Congress and Exposition, Proceedings

Volumn 14, Issue , 2008, Pages 41-49

  Azarkhail, M ^a   Modarres, M ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; KNOWLEDGE MANAGEMENT; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; RELIABILITY THEORY; UNCERTAINTY ANALYSIS; BAYESIAN NETWORKS; CURVE FITTING; ESTIMATION; FATIGUE OF MATERIALS; FRACTURE MECHANICS; INFERENCE ENGINES; INTELLIGENT SYSTEMS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; NORMAL DISTRIBUTION; PROBABILITY DENSITY FUNCTION; RELIABILITY; RELIABILITY ANALYSIS; RISK ANALYSIS; RISK ASSESSMENT; SAFETY ENGINEERING;

BAYESIAN INFERENCE; CONDITIONAL PROBABILITY; MARKOV CHAIN MONTE CARLO SIMULATION; UNCERTAINTY MANAGEMENT; CONDITIONAL PROBABILITIES; FRACTURE MECHANICS APPROACH; MATHEMATICAL COMPLEXITY; MECHANICAL COMPONENTS; PHYSICS-OF-FAILURE MODELING; PROBABILISTIC APPROACHES;

BAYESIAN NETWORKS; MONTE CARLO METHODS;

EID: 44349172895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IMECE2007-41333     Document Type: Conference Paper

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