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| Bayesiansk felträdanalys× | Händelseträdsanalys (ETA)× | |
|---|---|---|
| Ämnesområde≠ | Försöksplanering | Tillförlitlighet |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 2001 (BFTA mapping); Bayesian networks: 1988 | 2002 |
| Upphovsperson≠ | Andrea Bobbio, Luca Portinale et al. (mapping FTA to Bayesian networks); Judea Pearl (Bayesian networks) | Andrews & Moss |
| Typ≠ | Probabilistic reliability / safety analysis | Forward inductive logic tree |
| Ursprungskälla≠ | 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 ↗ | Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5 |
| Alias | BFTA, Bayesian FTA, Bayesian network fault tree, probabilistic fault tree analysis | ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi |
| Närliggande≠ | 5 | 2 |
| Sammanfattning≠ | 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. | Event Tree Analysis (ETA) is a forward inductive technique used in reliability and risk engineering to model the possible outcomes that follow an initiating event. Starting from a single undesired event, ETA traces all subsequent event sequences through a binary branching tree representing the success or failure of safety barriers and protective systems. Introduced formally in reliability and risk literature by Andrews and Moss (2002), it is widely applied in nuclear, chemical, and aerospace industries to quantify accident sequence probabilities and guide safety decision-making. |
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