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A Fuzzy Error Characterization Approach for Crack Depth Profile Estimation in Metallic Structures Through ACFM Data

机译:基于ACFM数据的金属结构裂纹深度轮廓估计的模糊误差表征方法

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摘要

The estimation of fatigue crack depth profile is one of the most important issues in nondestructive evaluation techniques. In this regard, providing a method which is able to determine the error rate of the depth profile estimation will be significant. Although several methods have been proposed to estimate the depth profile with reasonable accuracy, these mentioned methods are unable to determine the error rate of estimation process. In this paper, to eliminate mentioned drawbacks, a first and second fuzzy approximation methodology is proposed to estimate the surface crack depth profile of an arbitrary crack in metallic structures based on alternating current field measurement signals. In the proposed method, it is feasible to achieve a definite error rate to determine the surface crack depth profile under evaluation. Next, to achieve the most reasonable accuracy and the least computational complexity simultaneously, a solution will be proposed for the method presented in this paper. Finally, the results of several common methods are compared with the method presented in this paper in analytical and experimental forms.
机译:疲劳裂纹深度分布的估计是无损评估技术中最重要的问题之一。在这方面,提供一种能够确定深度轮廓估计的错误率的方法将是重要的。尽管已经提出了几种方法来以合理的精度估计深度轮廓,但是这些提到的方法不能确定估计过程的错误率。在本文中,为消除上述缺点,提出了一种第一和第二模糊近似方法,用于基于交流电场测量信号来估计金属结构中任意裂纹的表面裂纹深度分布。在提出的方法中,获得确定的误差率以确定待评估的表面裂纹深度轮廓是可行的。接下来,为了同时达到最合理的精度和最小的计算复杂度,将针对本文提出的方法提出解决方案。最后,将几种常用方法的结果与本文提出的分析和实验形式进行了比较。

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