Σύγκριση μεθόδων

	Ανάλυση Αξιοπιστίας με Υποβοήθηση Προσομοίωσης	Ανάλυση Δέντρου Σφαλμάτων (FTA)
Πεδίο	Πειραματικός Σχεδιασμός	Αξιοπιστία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s)	1981
Δημιουργός	Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration)	Vesely et al. (US NRC Fault Tree Handbook)
Τύπος	Quantitative probabilistic engineering method	Deductive top-down failure analysis
Θεμελιώδης πηγή	Melchers, R. E., & Beck, A. T. (2018). Structural Reliability Analysis and Prediction (3rd ed.). Wiley. ISBN: 978-1119266075	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission.
Εναλλακτικές ονομασίες	SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testing	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Συναφείς	6	3
Σύνοψη	Simulation-assisted reliability analysis combines probabilistic reliability theory with computational simulation — most commonly Monte Carlo methods or finite-element models — to estimate the probability that a system, component, or structure will perform its intended function under uncertain operating conditions. Rather than relying solely on closed-form analytical solutions, it propagates uncertainty through high-fidelity numerical models to quantify failure risk across complex, nonlinear, or multi-failure-mode systems.	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.