Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Аналіз дерева відмов (FTA)× | Регресія Вейбулла (Weibull regression)× | |
|---|---|---|
| Галузь≠ | Надійність | Аналіз виживаності |
| Родина≠ | Process / pipeline | Survival analysis |
| Рік появи≠ | 1981 | 1951 |
| Автор методу≠ | Vesely et al. (US NRC Fault Tree Handbook) | Waloddi Weibull |
| Тип≠ | Deductive top-down failure analysis | Fully parametric survival regression model |
| Основоположне джерело≠ | Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗ | Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗ |
| Інші назви | FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi | weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma |
| Пов'язані≠ | 3 | 4 |
| Підсумок≠ | 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. | Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival. |
| ScholarGateНабір даних ↗ |
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