A Bayesian approach to risk modeling of autonomous subsea intervention operations
作者： Jeevith Hegde , Ingrid Bouwer Utne , Ingrid Schjølberg , Brede Thorkildsen
DOI: 10.1016/J.RESS.2018.03.019
关键词:
摘要: Abstract The introduction of autonomy in subsea operations may affect operational risk related to Inspection, Maintenance, and Repair (IMR). This article proposes a Bayesian Belief Network (BBN) model the affecting autonomous IMR operations. proposed BBN can be used calculate probability aborting an operation. nodes are structured using three main categories, namely technical, organizational, operational. is tested for five unique scenarios scenario generation methodology phase quantified by conducting workshop involving industry experts. results from provide useful aid human supervisors their decision-making processes. verified scenarios, but it capable incorporating calculating other combinations scenarios.
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