Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ видов и последствий отказов с помощью моделирования× | Дерево событий (Event Tree Analysis, ETA)× | |
|---|---|---|
| Область≠ | Планирование эксперимента | Надёжность |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1949 (FMEA); simulation-assisted variant: 1980s–1990s | 2002 |
| Автор метода≠ | FMEA originates from US MIL-P-1629 (1949); simulation integration developed in reliability engineering from the 1980s–1990s | Andrews & Moss |
| Тип≠ | Reliability and risk analysis method | Forward inductive logic tree |
| Основополагающий источник≠ | Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989 | Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5 |
| Другие названия | Simulation-FMEA, Monte Carlo FMEA, Simulation-based FMEA, SA-FMEA | ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi |
| Связанные≠ | 6 | 2 |
| Сводка≠ | Simulation-assisted FMEA enhances the classical Failure Mode and Effects Analysis by replacing point-estimate occurrence ratings with probabilistic simulation — typically Monte Carlo — to quantify failure probability distributions across a system's components. This yields statistically grounded Risk Priority Numbers (RPNs) rather than expert guesses, enabling more rigorous identification and prioritization of critical failure modes in complex engineering systems. | Event Tree Analysis (ETA) is a forward inductive technique used in reliability and risk engineering to model the possible outcomes that follow an initiating event. Starting from a single undesired event, ETA traces all subsequent event sequences through a binary branching tree representing the success or failure of safety barriers and protective systems. Introduced formally in reliability and risk literature by Andrews and Moss (2002), it is widely applied in nuclear, chemical, and aerospace industries to quantify accident sequence probabilities and guide safety decision-making. |
| ScholarGateНабор данных ↗ |
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