Módszerek összehasonlítása

	Kockázatalapú hibafaelemzés	Hibafák elemzése (FTA)
Tudományterület	Kísérlettervezés	Megbízhatóság
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1961 (FTA origin); risk-based integration formalised 1975–1981	1981
Megalkotó	H.A. Watson (Bell Labs) and developed further by Boeing/U.S. Air Force; risk-based extension via NRC probabilistic risk assessment programs	Vesely et al. (US NRC Fault Tree Handbook)
Típus	Quantitative safety and reliability analysis	Deductive top-down failure analysis
Alapmű	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. U.S. 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.
Alternatív nevek	RB-FTA, risk-informed FTA, quantitative fault tree analysis, probabilistic fault tree analysis	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Kapcsolódó	6	3
Összefoglaló	Risk-based fault tree analysis (RB-FTA) combines classical fault tree analysis with explicit quantitative risk assessment. Starting from an undesired top event, the analyst decomposes it into contributing causes using AND/OR logic gates, assigns failure probabilities to basic events from reliability databases or historical data, and then propagates those probabilities through the tree to compute top-event likelihood. The result is expressed as risk — probability weighted by consequence severity — enabling prioritisation of safety interventions by their actual risk reduction impact.	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.