A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions

A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions

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Article ID: iaor201530401
Volume: 146
Issue: 6
Start Page Number: 55
End Page Number: 67
Publication Date: Feb 2016
Journal: Reliability Engineering and System Safety
Authors: ,
Keywords: quality & reliability
Abstract:

  • Novel method to estimate risk of autonomous vehicle loss in uncertain environments.
  • A framework to integrate frequentist and subjective probability modelling.
  • A Bayesian belief updating method for capturing variation in operating environment.
  • Graphical approach for sensitivity analysis, applicable to any BBN model validation.
  • Pragmatic case studies showing the application of the proposed framework.
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