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Hibridna analiza stabla događaja×Analiza stabala događaja (ETA)×
PodručjeEksperimentalni dizajnPouzdanost
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka1990s–2000s (as extensions to classical ETA developed from the 1960s)2002
TvoracMultiple contributors; hybrid extensions emerged from the reliability and safety engineering communityAndrews & Moss
VrstaProbabilistic risk and safety assessment techniqueForward inductive logic tree
Temeljni izvorBedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773201Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5
Drugi naziviHybrid ETA, Integrated Event Tree Analysis, Combined Event Tree Analysis, Fuzzy-Bayesian Event Tree AnalysisETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
Srodne62
SažetakHybrid Event Tree Analysis (Hybrid ETA) extends classical Event Tree Analysis by integrating complementary methods — such as Bayesian networks, fuzzy set theory, or Monte Carlo simulation — to overcome ETA's limitations in handling uncertainty, dependency between events, and sparse data. It is applied in safety-critical industries to model accident sequences and quantify outcome probabilities with greater fidelity than standalone ETA.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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ScholarGateUsporedite metode: Hybrid Event Tree Analysis · Event Tree Analysis. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare