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| Analisis Pohon Kegagalan Hibrida× | Analisis Pohon Kegagalan (FTA)× | |
|---|---|---|
| Bidang≠ | Desain Eksperimen | Keandalan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1983–2001 (multiple extensions) | 1981 |
| Pencetus≠ | Tanaka et al. (fuzzy extension, 1983); Bobbio et al. (Bayesian integration, 2001) | Vesely et al. (US NRC Fault Tree Handbook) |
| Tipe≠ | Quantitative safety and reliability analysis method | Deductive top-down failure analysis |
| Sumber perintis≠ | 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 ↗ | Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗ |
| Alias | Hybrid FTA, Fuzzy-Bayesian FTA, Extended Fault Tree Analysis, Integrated FTA | FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi |
| Terkait≠ | 5 | 3 |
| Ringkasan≠ | 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. | 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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