Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ надежности с помощью моделирования× | Анализ видов и последствий отказов (FMEA)× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s) | 1949 (military); widespread industrial adoption 1970s–1980s |
| Автор метода≠ | Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration) | U.S. Military / NASA (formalized by MIL-P-1629, 1949) |
| Тип≠ | Quantitative probabilistic engineering method | Proactive risk analysis technique |
| Основополагающий источник≠ | Melchers, R. E., & Beck, A. T. (2018). Structural Reliability Analysis and Prediction (3rd ed.). Wiley. ISBN: 978-1119266075 | Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989 |
| Другие названия | SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testing | FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Simulation-assisted reliability analysis combines probabilistic reliability theory with computational simulation — most commonly Monte Carlo methods or finite-element models — to estimate the probability that a system, component, or structure will perform its intended function under uncertain operating conditions. Rather than relying solely on closed-form analytical solutions, it propagates uncertainty through high-fidelity numerical models to quantify failure risk across complex, nonlinear, or multi-failure-mode systems. | Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes. |
| ScholarGateНабор данных ↗ |
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