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민감도 분석과 고장 수 분석 (FTA-SA)×고장수목 분석 (FTA)×
분야실험설계신뢰성
계열Process / pipelineProcess / pipeline
기원 연도1961 (FTA); sensitivity integration formalised 1970s–1980s1981
창시자H. A. Watson (Bell Labs, FTA, 1961); integrated sensitivity extensions developed through nuclear safety research (Vesely et al., 1981)Vesely et al. (US NRC Fault Tree Handbook)
유형Quantitative reliability and risk analysis techniqueDeductive top-down failure analysis
원전Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. US Nuclear Regulatory Commission, NUREG-0492. link ↗Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗
별칭FTA-SA, fault tree sensitivity analysis, FTA with importance measures, probabilistic sensitivity analysis in fault treesFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
관련33
요약Sensitivity analysis integrated with fault tree analysis (FTA-SA) is a quantitative reliability engineering method that first models how system failure can occur through a hierarchical Boolean logic tree, then systematically varies the probability of each basic event to determine which components drive overall system failure risk most strongly. Widely used in nuclear, aerospace, chemical, and safety-critical system design, it prioritises mitigation effort and reveals which uncertainty in input data matters 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 fault tree analysis · Fault Tree Analysis. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare