Salīdzināt metodes

	Simulācijām balstīta kļūdu koku analīze	Kļūmju koku analīze (FTA)
Nozare	Eksperimentu plānošana	Drošums
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1970s–1980s (widespread adoption in nuclear and aerospace industries)	1981
Autors	Fault tree analysis: H. A. Watson (Bell Labs, 1961); Monte Carlo integration in reliability: Herman Kahn / Stanislaw Ulam (RAND, late 1940s); combination formalized in reliability engineering literature from the 1970s onward	Vesely et al. (US NRC Fault Tree Handbook)
Tips	Quantitative reliability and risk analysis technique	Deductive top-down failure analysis
Pirmavots	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.
Citi nosaukumi	SA-FTA, Monte Carlo FTA, simulation-based FTA, stochastic fault tree analysis	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Saistītās	6	3
Kopsavilkums	Simulation-assisted fault tree analysis (SA-FTA) combines the logical structure of classical fault tree analysis with Monte Carlo or discrete-event simulation to estimate the probability and timing of an undesired top event when component failures follow complex, non-exponential, or correlated probability distributions. The approach overcomes the analytical limitations of Boolean algebra-based FTA and is widely used in nuclear, aerospace, chemical process, and manufacturing reliability engineering.	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.