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Efficient conditional failure analysis: application to an aircraft engine component

机译：高效的条件故障分析：应用于飞机发动机组件

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摘要

Although many engineering systems and components have a very low probability of failure, the consequences of failures can be catastrophic. The low failure probability precludes the safety certification of such systems or components on the basis of repeated experiments. Therefore the certification must necessarily be done on the basis of adequately validated computational models. Conditional failure analysis (CFA) can be used to provide insight into the failure of a component and the most likely range of values of the input random variables associated with failure. It not only provides valuable information to the engineer for improvement of component design, but also helps to validate the mathematical models and probabilistic input distributions associated with reliability computations. The CFA technique outlined in this paper is based on generation of conditional failure samples obtained during computation of component reliability. It provides a graphical description of the failure region that can be used for failure analysis. The technique is illustrated for a practical design problem involving the fatigue crack growth limit state of a gas turbine engine component. The results can be applied to failure analysis and model validation of general aerospace components.
机译：尽管许多工程系统和组件的故障可能性很小，但故障后果可能是灾难性的。故障概率低，因此无法根据重复实验对此类系统或组件进行安全认证。因此，必须在充分验证的计算模型的基础上进行认证。条件故障分析（CFA）可用于深入了解组件的故障以及与故障相关的输入随机变量的最可能值范围。它不仅为工程师提供了改进组件设计的宝贵信息，而且还有助于验证与可靠性计算相关的数学模型和概率输入分布。本文概述的CFA技术基于在组件可靠性计算过程中获得的条件故障样本的生成。它提供了可用于故障分析的故障区域的图形描述。针对涉及燃气涡轮发动机部件的疲劳裂纹扩展极限状态的实际设计问题说明了该技术。结果可用于一般航空航天部件的故障分析和模型验证。

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