So sánh phương pháp

	Phân tích cây lỗi (FTA)	Phân tích Cây Sự kiện (ETA)	Phân tích độ tin cậy thống kê
Lĩnh vực	Độ tin cậy	Độ tin cậy	Độ tin cậy
Họ	Process / pipeline	Process / pipeline	Regression model
Năm ra đời	1981	2002	1998
Người khởi xướng	Vesely et al. (US NRC Fault Tree Handbook)	Andrews & Moss	William Meeker & Luis Escobar
Loại	Deductive top-down failure analysis	Forward inductive logic tree	Parametric lifetime modeling
Công trình gốc	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission.	Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
Tên gọi khác	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi	ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Liên quan	3	2	3
Tóm tắt	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.	Event Tree Analysis (ETA) is a forward inductive technique used in reliability and risk engineering to model the possible outcomes that follow an initiating event. Starting from a single undesired event, ETA traces all subsequent event sequences through a binary branching tree representing the success or failure of safety barriers and protective systems. Introduced formally in reliability and risk literature by Andrews and Moss (2002), it is widely applied in nuclear, chemical, and aerospace industries to quantify accident sequence probabilities and guide safety decision-making.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.