首页> 外文期刊>Applied stochastic models in business and industry >'Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data' by M. Li, S. D. Holland and W. Q. Meeker: Rejoinder
【24h】

'Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data' by M. Li, S. D. Holland and W. Q. Meeker: Rejoinder

机译:M.Li,S.D.Holland和W.Q.Meeker的``基于振动热成像图像序列数据的自动裂缝检测统计方法'':Rejoinder

获取原文
获取原文并翻译 | 示例
           

摘要

We would like to thank Professors Volf and Guerin for taking the time to carefully read our paper and prepare the thought-provoking discussions. Professor Volf raises an important question about robustness of the matched-filter method when the crack signature is not correctly specified. Of course this is important because the crack signature is never specified exactly; different cracks can have different spatial shapes. Although the Gaussian shape provides a good agreement to most of the crack signals that we have seen, some cracks provide a signal with two peaks, one at each of the crack tips. We conducted some simple experiments, especially with respect to the spatial shape, while writing our paper and came to the same conclusion as Professor Volf. We believe that most of the value of the matched filter in this application comes from the strong and consistent temporal pattern shown on the left-hand side of Figure 3 of our paper. This pattern can be expected to be consistent across various crack morphologies. Thus, the performance of the matched filter could be expected to be robust to misspecification of the spatial pattern. It would, however, be interesting to extend Professor Volf's sensitivity study to three dimensions and systematically perturb the crack signature in various ways that are consistent with expected departures in order to get a better quantification of the misspecification effect. We are in the process of developing an improved analysis that takes advantage of a-priori knowledge of the Green's function of thermal conduction. This work tells us that the temporal pattern is more gentile (slower heating and cool-down) at the edge of the indication than the center, but that the shape of the curve is very characteristic. The spatial pattern is controlled by the geometry of the specific crack and is therefore not-suited to mathematical analysis. Since both the crack heating (neglecting noise) and the matched filter are nonnegative, and since the cross-correlation of two nonnegative functions must itself be nonnegative, we can say for certain that misspecification will in the worst case reduce the magnitude of the indication from what would have been detected with the correct matched filter.
机译:我们要感谢Volf和Guerin教授花时间仔细阅读我们的论文并准备引起发人深省的讨论。当未正确指定裂纹特征时,沃尔夫教授提出了一个有关匹配滤波器方法的鲁棒性的重要问题。当然,这很重要,因为永远不会精确指定裂纹特征。不同的裂缝可以具有不同的空间形状。尽管高斯形状与我们所见的大多数裂纹信号都很好地吻合,但某些裂纹会提供一个带有两个峰值的信号,每个峰值处都有一个峰值。在撰写论文时,我们进行了一些简单的实验,尤其是关于空间形状的实验,并得出了与Volf教授相同的结论。我们相信,在本应用中,匹配滤波器的大部分价值都来自本文图3左侧所示的强而一致的时间模式。可以预期这种模式在各种裂纹形态上都是一致的。因此,可以预期匹配滤波器的性能对于空间图案的错误指定具有鲁棒性。但是,将Volf教授的敏感性研究扩展到三个维度,并以与预期偏差相一致的各种方式系统地干扰裂纹特征,以便更好地量化错规格效应,将是很有趣的。我们正在开发一种改进的分析方法,以利用格林的热传导功能的先验知识。这项工作告诉我们,指示区域的时间模式比中心区域的时间模式更温和(加热和冷却速度更慢),但是曲线的形状非常有特色。空间图案由特定裂纹的几何形状控制,因此不适合数学分析。由于裂纹加热(忽略噪声)和匹配的滤波器都是非负的,并且由于两个非负函数的互相关性本身也必须是非负的,因此可以肯定地说,错误指定将在最坏的情况下降低指示的强度。正确匹配的过滤器会检测到什么。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号