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仿真辅助根本原因分析×故障树分析 (FTA)×
领域实验设计可靠性
方法族Process / pipelineProcess / pipeline
起源年份1990s–2000s (widespread adoption in engineering reliability contexts)1981
提出者Evolved from root cause analysis practice (Kepner & Tregoe, 1960s) integrated with simulation methods (1990s–2000s in reliability engineering)Vesely et al. (US NRC Fault Tree Handbook)
类型Analytical / diagnostic engineering methodDeductive top-down failure analysis
开创性文献Latino, R. J., & Latino, K. C. (2006). Root Cause Analysis: Improving Performance for Bottom-Line Results (3rd ed.). CRC Press. ISBN: 978-0849338267Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗
别名Sim-RCA, simulation-based RCA, virtual root cause analysis, computational root cause analysisFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
相关63
摘要Simulation-assisted root cause analysis (Sim-RCA) integrates computational simulation — such as discrete-event simulation, Monte Carlo methods, or finite-element analysis — into the structured root cause analysis process to diagnose the underlying causes of complex failures or defects. By running virtual experiments on a system model, investigators can test hypothetical causal pathways safely, rapidly, and at scale, without disrupting live operations or waiting for rare failure events to recur.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.
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ScholarGate方法对比: Simulation-assisted root cause analysis · Fault Tree Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare