Compară metode

	Analiza de Sensibilitate cu Analiza Arborilor de Defecte	Analiza Arborelui de Defecte (Fault Tree Analysis - FTA)
Domeniu	Design experimental	Fiabilitate
Familie	Process / pipeline	Process / pipeline
Anul apariției	1961 (FTA); sensitivity integration formalised 1970s–1980s	1981
Autorul original	H. 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)
Tip	Quantitative reliability and risk analysis technique	Deductive top-down failure analysis
Sursa seminală	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. US Nuclear Regulatory Commission, NUREG-0492.	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission.
Denumiri alternative	FTA-SA, fault tree sensitivity analysis, FTA with importance measures, probabilistic sensitivity analysis in fault trees	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Înrudite	3	3
Rezumat	Sensitivity 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.