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Estimating POD of a screening technique for cracks about ferrous fasteners without fastener removal

机译:估计不去除紧固件的铁制紧固件裂缝筛查技术的POD

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摘要

A study was conducted to estimate the Probability of Detection (POD) of a screening technique for samples representative of lap joints in wing structure of the P-3 Orion airframe containing EDM notches in the bottom of the top layer and the top of the second layer radiating from holes containing ferrous fasteners. It was assumed that the defects made up only a small fraction of the data (< = 5%) as would be normal in a damage tolerant design. A novel pulsed eddy current probe and robust cluster analysis were used to provide blind detection of the notches without removal of the ferrous fasteners. Detection could be confirmed using traditional bolt-hole eddy current after fastener removal at that site. Statistical simulations were used to explore the effects of sample size and number of defects in a sample. Using a nominal false call rate of 15% (actual similar to 10%), the estimated a(90/95) was better than 2.3 mm (0.09 inch) for these data sets. This represents a marginal probability as the results indicate that other variables affect the estimated POD. Sample statistics can be used to show that the assumptions of the technique (i.e. very small fraction of the fasteners have associated defects) are not violated and that the inspector performed the inspection in a suitable manner.
机译:进行了一项研究,以评估代表P-3 Orion机体机翼结构中搭接部样品的筛查技术的检测概率(POD),该P-3 Orion机体的顶层和第二层顶部均包含EDM缺口从含铁紧固件的孔中散发出来。假定缺陷只占数据的一小部分(<= 5%),这在容错设计中是正常的。一种新颖的脉冲涡流探头和稳健的聚类分析被用于在不移除铁制紧固件的情况下对缺口进行盲检测。在该位置移除紧固件后,可以使用传统的螺栓孔涡流确认检测。使用统计模拟来探索样本大小和样本中缺陷数量的影响。使用名义误报率为15%(实际类似于10%),这些数据集的估计a(90/95)优于2.3毫米(0.09英寸)。由于结果表明其他变量会影响估计的POD,因此这表示边缘概率。可以使用样本统计数据来表明未违反该技术的假设(即,很小一部分紧固件具有相关的缺陷),并且检查员以适当的方式进行了检查。

著录项

  • 来源
    《NDT & E international》 |2019年第10期|102124.1-102124.9|共9页
  • 作者单位

    Royal Mil Coll Canada Dept Phys & Astrophys POB 17000 Stn Forces Kingston ON K7K 7B4 Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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