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领域实验设计运营管理
方法族Process / pipelineMachine learning
起源年份1983–2001 (multiple extensions)2010
提出者Tanaka et al. (fuzzy extension, 1983); Bobbio et al. (Bayesian integration, 2001)Ebeling, C. E.
类型Quantitative safety and reliability analysis methodReliability 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 ↗Ebeling, C. E. (2010). An introduction to reliability and maintainability engineering (2nd ed.). Long Grove, IL: Waveland Press. link ↗
别名Hybrid FTA, Fuzzy-Bayesian FTA, Extended Fault Tree Analysis, Integrated FTARBD, reliability analysis
相关55
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.A Reliability Block Diagram (RBD) is a visual representation of a system's architecture that models how component reliabilities combine to determine overall system reliability. Each block represents a component or subsystem with a known reliability (probability of functioning without failure), and connections between blocks represent functional relationships (series, parallel, or mixed). RBD analysis is a fundamental tool in reliability engineering, used to identify critical components, optimize redundancy, and predict system-level failure rates.
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ScholarGate方法对比: Hybrid Fault Tree Analysis · Reliability Block Diagram. 于 2026-06-19 检索自 https://scholargate.app/zh/compare