An assessment of causes and failure likelihood of cross-country pipelines under uncertainty using bayesian networks.
Shamsu HassanJin WangChristos A. KontovasMusa BashirPublished in: Reliab. Eng. Syst. Saf. (2022)
Keyphrases
- bayesian networks
- conditional probabilities
- posterior probability
- uncertain knowledge
- utility theory
- conditional independence
- boltzmann distribution
- learning bayesian networks
- big data
- random variables
- handling uncertainty
- failure prediction
- maximum likelihood
- probabilistic inference
- graphical models
- probability distribution
- student modeling
- bayesian belief networks
- probabilistic knowledge
- probabilistic model
- diagnostic reasoning
- expected utility
- prior probabilities
- possibility theory
- failure rate
- data sets
- belief functions
- hidden variables
- incomplete data
- success or failure
- assessment process
- inherent uncertainty
- naive bayes
- particle filter
- imprecise probabilities
- decision trees