A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions
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- 作者：Mario Britoa ; m.p.brito@soton.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Gwyn Griffithsb
- 关键词：Bayesian networks ; Survival statistics ; Expert judgment elicitation ; Autonomous vehicles
- 刊名：Reliability Engineering & System Safety
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：146
- 期：Complete
- 页码：55-67
- 全文大小：3251 K
文摘
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Novel method to estimate risk of autonomous vehicle loss in uncertain environments.
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A framework to integrate frequentist and subjective probability modelling.
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A Bayesian belief updating method for capturing variation in operating environment.
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Graphical approach for sensitivity analysis, applicable to any BBN model validation.
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Pragmatic case studies showing the application of the proposed framework.