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| Analyse Hybride d'Arbre de Défaillance× | Arbre d'événements (ETA)× | |
|---|---|---|
| Domaine≠ | Plans d'expériences | Fiabilité |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1983–2001 (multiple extensions) | 2002 |
| Auteur d'origine≠ | Tanaka et al. (fuzzy extension, 1983); Bobbio et al. (Bayesian integration, 2001) | Andrews & Moss |
| Type≠ | Quantitative safety and reliability analysis method | Forward inductive logic tree |
| Source fondatrice≠ | 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 ↗ | Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5 |
| Alias | Hybrid FTA, Fuzzy-Bayesian FTA, Extended Fault Tree Analysis, Integrated FTA | ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi |
| Apparentées≠ | 5 | 2 |
| Résumé≠ | 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. | 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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