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首页> 美国卫生研究院文献>Proceedings. Mathematical Physical and Engineering Sciences >Efficient generation of receiver operating characteristics for the evaluation of damage detection in practical structural health monitoring applications
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Efficient generation of receiver operating characteristics for the evaluation of damage detection in practical structural health monitoring applications

机译：有效生成接收器工作特性以评估实际结构健康监测应用中的损坏检测

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摘要

Permanently installed guided wave monitoring systems are attractive for monitoring large structures. By frequently interrogating the test structure over a long period of time, such systems have the potential to detect defects much earlier than with conventional one-off inspection, and reduce the time and labour cost involved. However, for the systems to be accepted under real operational conditions, their damage detection performance needs to be evaluated in these practical settings. The receiver operating characteristic (ROC) is an established performance metric for one-off inspections, but the generation of the ROC requires many test structures with realistic damage growth at different locations and different environmental conditions, and this is often impractical. In this paper, we propose an evaluation framework using experimental data collected over multiple environmental cycles on an undamaged structure with synthetic damage signatures added by superposition. Recent advances in computation power enable examples covering a wide range of practical scenarios to be generated, and for multiple cases of each scenario to be tested so that the statistics of the performance can be evaluated. The proposed methodology has been demonstrated using data collected from a laboratory pipe specimen over many temperature cycles, superposed with damage signatures predicted for a flat-bottom hole growing at different rates at various locations. Three damage detection schemes, conventional baseline subtraction, singular value decomposition (SVD) and independent component analysis (ICA), have been evaluated. It has been shown that in all cases, the component methods perform significantly better than the residual method, with ICA generally the better of the two. The results have been validated using experimental data monitoring a pipe in which a flat-bottom hole was drilled and enlarged over successive temperature cycles. The methodology can be used to evaluate the performance of an installed monitoring system and to show whether it is capable of detecting particular damage growth at any given location. It will enable monitoring results to be evaluated rigorously and will be valuable in the development of safety cases.
机译：永久安装的导波监控系统对于监控大型结构非常有吸引力。通过长时间地频繁询问测试结构，这种系统具有比传统的一次性检查更早地发现缺陷的潜力，并减少了时间和人工成本。但是，对于要在实际操作条件下接受的系统，需要在这些实际设置中评估其损坏检测性能。接收器工作特性（ROC）是一次性检查的既定性能指标，但是ROC的生成需要许多测试结构，这些结构在不同的位置和不同的环境条件下会产生实际的损伤增长，因此这通常是不切实际的。在本文中，我们提出了一个评估框架，该框架使用了在未损坏结构上通过多个环境周期收集的实验数据，并通过叠加添加了合成损伤特征。计算能力的最新进步使生成的示例涵盖了广泛的实际场景，并且可以针对每种场景的多种情况进行测试，从而可以评估性能统计信息。使用从实验室管道样品在许多温度循环中收集的数据证明了所提出的方法，这些数据与预测的平底孔在不同位置以不同速率生长的破坏特征叠加在一起。评估了三种损坏检测方案：常规基线减法，奇异值分解（SVD）和独立成分分析（ICA）。结果表明，在所有情况下，组分方法的性能都明显优于残差方法，而ICA通常是两者中较好的一种。使用监视管道的实验数据验证了结果，该管道在连续的温度循环中钻了一个平底孔并扩大了。该方法可用于评估已安装的监视系统的性能，并显示其是否能够在任何给定位置检测特定的损伤增长。这将使监视结果能够得到严格评估，并且在开发安全案例时将非常有价值。

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