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| 사건수 분석 (ETA)× | 통계적 신뢰성 분석× | |
|---|---|---|
| 분야 | 신뢰성 | 신뢰성 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 2002 | 1998 |
| 창시자≠ | Andrews & Moss | William Meeker & Luis Escobar |
| 유형≠ | Forward inductive logic tree | Parametric lifetime modeling |
| 원전≠ | Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5 | Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4 |
| 별칭 | ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi | Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi |
| 관련≠ | 2 | 3 |
| 요약≠ | 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. | 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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