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Joint Estimation of NDE Inspection Capability and Flawsize Distribution for in-service Aircraft Inspections

机译:联合评估在役飞机检查的NDE检查能力和缺陷尺寸分布

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摘要

Nondestructive evaluation (NDE) is widely used in the aerospace industry during scheduled maintenance inspections to detect cracks or other anomalies in structural and rotating components. Life prediction and inspection interval decisions in aerospace applications require knowledge of the size distribution of unknown existing cracks and the probability of detecting a crack (POD), as a function of crack characteristics (e.g., crack length). The POD for a particular inspection method is usually estimated on the basis of laboratory experiments on a given specimen set. These experiments, however, cannot duplicate the conditions of in-service inspections. Quantifying the size distribution of unknown existing cracks is more difficult. If NDE signal strength is recorded at all inspections and if crack-length information is obtained after “crack find” inspections, it is possible to estimate the joint distribution of crack length, noise response and signal response. This joint distribution can then be used to estimate both the in service POD and the crack-length distribution at a given period of service time. In this paper, we present a statistical model and methodology to do this estimation.
机译:在定期维护检查期间,无损评估(NDE)已广泛用于航空航天行业,以检测结构和旋转组件中的裂缝或其他异常情况。航空航天应用中的寿命预测和检查间隔决策需要了解未知的现有裂纹的尺寸分布以及检测裂纹的可能性(POD),这取决于裂纹特征(例如,裂纹长度)。特定检查方法的POD通常是根据给定样本集上的实验室实验估算的。但是,这些实验不能重复使用中检查的条件。量化未知的现有裂缝的尺寸分布更加困难。如果在所有检查中都记录了NDE信号强度,并且在“裂纹发现”检查之后获得了裂纹长度信息,则可以估计裂纹长度,噪声响应和信号响应的联合分布。然后,可以使用此联合分布来估计给定服务时间段的运行中POD和裂纹长度分布。在本文中,我们提出了进行此估计的统计模型和方法。

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