タイトル | An improved approach for flight readiness certification: Methodology for failure risk assessment and application examples, volume 1 |
本文(外部サイト) | http://hdl.handle.net/2060/19940009603 |
著者(英) | Newlin, L. E.; Sutharshana, S.; Ebbeler, D. H.; Creager, M.; Moore, N. R. |
著者所属(英) | Jet Propulsion Lab., California Inst. of Tech. |
発行日 | 1992-06-01 |
言語 | eng |
内容記述 | An improved methodology for quantitatively evaluating failure risk of spaceflight systems to assess flight readiness and identify risk control measures is presented. This methodology, called Probabilistic Failure Assessment (PFA), combines operating experience from tests and flights with engineering analysis to estimate failure risk. The PFA methodology is of particular value when information on which to base an assessment of failure risk, including test experience and knowledge of parameters used in engineering analyses of failure phenomena, is expensive or difficult to acquire. The PFA methodology is a prescribed statistical structure in which engineering analysis models that characterize failure phenomena are used conjointly with uncertainties about analysis parameters and/or modeling accuracy to estimate failure probability distributions for specific failure modes. These distributions can then be modified, by means of statistical procedures of the PFA methodology, to reflect any test or flight experience. Conventional engineering analysis models currently employed for design of failure prediction are used in this methodology. The PFA methodology is described and examples of its application are presented. Conventional approaches to failure risk evaluation for spaceflight systems are discussed, and the rationale for the approach taken in the PFA methodology is presented. The statistical methods, engineering models, and computer software used in fatigue failure mode applications are thoroughly documented. |
NASA分類 | SPACECRAFT DESIGN, TESTING AND PERFORMANCE |
レポートNO | 94N14076 NASA-CR-194498 JPL-PUBL-92-15-VOL-1 NAS 1.26:194498 |
権利 | No Copyright |
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