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Inspection Intervals for Fail-Safe Structure

机译:故障安全结构的检查间隔

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The Fail-Safe principle as applied to aircraft structural design implies that there is insufficient knowledge of the life capability of the design. Control of inspection intervals is not supported by risk calculations, yet only a sample of aircraft is inspected, at intervals whose duration is rapidly increased. This paper provides risk estimates based on a simple mathematical model. Catastrophic failure is treated in two stages modeled respectively by 2-parameter and 3-parameter Weibull distributions. Bayes inferences are made about the scale parameter using in-service survivor times. Only those cases are treated for which no failures have occurred. This results in a suggested form of inspection policy. A separate non-Bayes analysis confirms the Bayes risk estimate; thus the assumed improper prior is interesting. This prior, the only simple one which is tractable for the case of no failures, transforms, for the exponential distribution, to the uniform prior, in contrast to the hyperbolic one usually used. The analysis is simplistic but provides a ball-park estimate which would otherwise be unavailable. It can be used with caution as a check on inspection programs already derived by other means. It can also serve in tutorial demonstration of the statistical effects of the various parameters, to airworthiness managers. Possibly it might form the basis of a more sophisticated analysis.
机译:适用于飞机结构设计的故障保护原则意味着对设计寿命的了解不足。风险计算不支持检查间隔的控制,但仅检查飞机样本,间隔时间会迅速增加。本文提供了基于简单数学模型的风险估计。灾难性故障分为两个阶段,分别通过2参数和3参数Weibull分布建模。使用在役幸存者时间对比例参数进行贝叶斯推断。仅处理那些未发生故障的案例。这导致了检查策略的建议形式。单独的非贝叶斯分析确定了贝叶斯风险估计;因此,假设的不当先验很有趣。与通常使用的双曲线相比,该先验是在无故障情况下易于处理的唯一简单先验,对于指数分布,转换为统一先验。该分析是简单的,但提供了估计的估计,否则将无法获得。可以谨慎地使用它来检查已经通过其他方式导出的检查程序。它还可以在向适航管理人员的各种参数的统计效果的教程演示中使用。可能会构成更复杂分析的基础。

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