Process / pipelineEngineering methods

Bayesian Fault Tree Analysis — Probabilistic System Reliability Assessment

Bayesian Fault Tree Analysis (BFTA) extends classical fault tree analysis by converting the fault tree structure into an equivalent Bayesian network, enabling probabilistic inference in both forward (prediction) and backward (diagnosis) directions. This integration allows analysts to update failure probability estimates with observed evidence, quantify uncertainty explicitly, and identify the most probable root causes of a top-level system failure.

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Sources

  1. Bobbio, A., Portinale, L., Minichino, M., & Ciancamerla, E. (2001). Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliability Engineering & System Safety, 71(3), 249–260. DOI: 10.1016/S0951-8320(00)00077-6
  2. Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797

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Referenced by

ScholarGateBayesian Fault Tree Analysis (Bayesian Fault Tree Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/bayesian-fault-tree-analysis