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민감도 분석과 이벤트 트리 분석×고장수목 분석 (FTA)×
분야실험설계신뢰성
계열Process / pipelineProcess / pipeline
기원 연도Combination formalized in risk and reliability engineering from the 1990s onward1981
창시자Sensitivity analysis: Saltelli et al. (1990s–2000s); Event tree analysis: Watson (1961, WASH-1400 formalization 1975)Vesely et al. (US NRC Fault Tree Handbook)
유형Hybrid quantitative risk analysis methodDeductive top-down failure analysis
원전Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 978-0470059975Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗
별칭SA-ETA, ETA sensitivity analysis, event tree sensitivity analysis, probabilistic sensitivity analysis with ETAFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
관련63
요약Sensitivity analysis with event tree analysis (SA-ETA) is a quantitative risk assessment approach that systematically varies the input probabilities of an event tree model to determine which branch probabilities or initiating event frequencies most strongly influence the calculated probability of undesired outcomes. It extends classical event tree analysis by ranking the uncertainty contributions of individual inputs, thereby guiding risk-reduction efforts toward the parameters that matter most.Fault Tree Analysis (FTA) is a top-down, deductive reliability method that begins with an undesired top-level failure event and systematically traces backward through chains of contributing causes using Boolean logic gates (AND, OR). First formalized by Watson at Bell Telephone Laboratories in 1961 and later standardized by Vesely, Goldberg, Roberts, and Haasl in the landmark 1981 NRC Fault Tree Handbook, FTA has become a cornerstone of quantitative risk assessment in nuclear, aerospace, and industrial safety engineering.
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ScholarGate방법 비교: Sensitivity analysis with event tree analysis · Fault Tree Analysis. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare