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하이브리드 고장 트리 분석×사건수 분석 (ETA)×
분야실험설계신뢰성
계열Process / pipelineProcess / pipeline
기원 연도1983–2001 (multiple extensions)2002
창시자Tanaka et al. (fuzzy extension, 1983); Bobbio et al. (Bayesian integration, 2001)Andrews & Moss
유형Quantitative safety and reliability analysis methodForward inductive logic tree
원전Tanaka, 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
별칭Hybrid FTA, Fuzzy-Bayesian FTA, Extended Fault Tree Analysis, Integrated FTAETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
관련52
요약Hybrid 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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ScholarGate방법 비교: Hybrid Fault Tree Analysis · Event Tree Analysis. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare