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混合故障树分析×失效模式与影响分析 (FMEA)×
领域实验设计实验设计
方法族Process / pipelineProcess / pipeline
起源年份1983–2001 (multiple extensions)1949 (military); widespread industrial adoption 1970s–1980s
提出者Tanaka et al. (fuzzy extension, 1983); Bobbio et al. (Bayesian integration, 2001)U.S. Military / NASA (formalized by MIL-P-1629, 1949)
类型Quantitative safety and reliability analysis methodProactive risk analysis technique
开创性文献Tanaka, H., Fan, L. T., Lai, F. S., & Toguchi, K. (1983). Fault-tree analysis by fuzzy probability. IEEE Transactions on Reliability, 32(5), 453–457. DOI ↗Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
别名Hybrid FTA, Fuzzy-Bayesian FTA, Extended Fault Tree Analysis, Integrated FTAFMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
相关56
摘要Hybrid Fault Tree Analysis (Hybrid FTA) extends classical Fault Tree Analysis by integrating complementary modelling paradigms — most commonly fuzzy set theory, Bayesian networks, or event-tree logic — to overcome the strict data requirements and static assumptions of traditional FTA. The hybrid approach allows analysts to handle uncertainty in failure probability estimates, capture dynamic dependencies between components, and update risk assessments as new evidence becomes available, making it especially valuable in complex engineering systems where complete statistical failure data are rarely available.Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.
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ScholarGate方法对比: Hybrid Fault Tree Analysis · Failure Mode and Effects Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare