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| 시뮬레이션 기반 고장 모드 및 영향 분석× | 통계적 신뢰성 분석× | |
|---|---|---|
| 분야≠ | 실험설계 | 신뢰성 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 1949 (FMEA); simulation-assisted variant: 1980s–1990s | 1998 |
| 창시자≠ | FMEA originates from US MIL-P-1629 (1949); simulation integration developed in reliability engineering from the 1980s–1990s | William Meeker & Luis Escobar |
| 유형≠ | Reliability and risk analysis method | Parametric lifetime modeling |
| 원전≠ | Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989 | Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4 |
| 별칭 | Simulation-FMEA, Monte Carlo FMEA, Simulation-based FMEA, SA-FMEA | Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi |
| 관련≠ | 6 | 3 |
| 요약≠ | 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. | 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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