Process / pipelineEngineering methods

Hybrid Fault Tree Analysis — Integrated Reliability and Risk Assessment

Hybrid Fault Tree Analysis (Hybrid FTA) extends classical Fault Tree Analysis by integrating complementary modelling paradigms — most commonly fuzzy set theory, Bayesian networks, or event-tree logic — to overcome the strict data requirements and static assumptions of traditional FTA. The hybrid approach allows analysts to handle uncertainty in failure probability estimates, capture dynamic dependencies between components, and update risk assessments as new evidence becomes available, making it especially valuable in complex engineering systems where complete statistical failure data are rarely available.

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Sources

  1. Tanaka, H., Fan, L. T., Lai, F. S., & Toguchi, K. (1983). Fault-tree analysis by fuzzy probability. IEEE Transactions on Reliability, 32(5), 453–457. DOI: 10.1109/TR.1983.5221727
  2. 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

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ScholarGateHybrid Fault Tree Analysis (Hybrid Fault Tree Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/hybrid-fault-tree-analysis