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| 混合事件树分析× | 统计可靠性分析× | |
|---|---|---|
| 领域≠ | 实验设计 | 可靠性 |
| 方法族≠ | Process / pipeline | Regression model |
| 起源年份≠ | 1990s–2000s (as extensions to classical ETA developed from the 1960s) | 1998 |
| 提出者≠ | Multiple contributors; hybrid extensions emerged from the reliability and safety engineering community | William Meeker & Luis Escobar |
| 类型≠ | Probabilistic risk and safety assessment technique | Parametric lifetime modeling |
| 开创性文献≠ | Bedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773201 | Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4 |
| 别名 | Hybrid ETA, Integrated Event Tree Analysis, Combined Event Tree Analysis, Fuzzy-Bayesian Event Tree Analysis | Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi |
| 相关≠ | 6 | 3 |
| 摘要≠ | Hybrid Event Tree Analysis (Hybrid ETA) extends classical Event Tree Analysis by integrating complementary methods — such as Bayesian networks, fuzzy set theory, or Monte Carlo simulation — to overcome ETA's limitations in handling uncertainty, dependency between events, and sparse data. It is applied in safety-critical industries to model accident sequences and quantify outcome probabilities with greater fidelity than standalone ETA. | 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. |
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