Abstract
The paper presents an approach for obtaining prior and posterior assessments of probabilities of various failure scenarios and risks at hazardous industrial facilities. The approach is based on the toolkit of Bayesian nets and allows accounting for new information that is obtained at the stage of the facility operation from monitoring systems and technical inspections. The presented approach can be used for developing risk-based inspection planning and risk-based management programs for hazardous industrial facilities.
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