基于莫比乌斯变换的升力效应减弱法,用于涡流测试中的裂纹分类和预测

IF 4.1 2区 材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Ndt & E International Pub Date : 2024-10-21 DOI:10.1016/j.ndteint.2024.103261
Yu Li , Zihan Xia , Saibo She , Yuchun Shao , Yinchao Yang , Wuliang Yin
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引用次数: 0

摘要

在电涡流(EC)缺陷评估中,准确确定裂纹深度至关重要。复阻抗平面上的离析信号不一定是水平的,大多呈弧形,因此很难将其与裂纹信号区分开来,而裂纹信号可能因探头特性和频率的不同而有不同的方向。通常采用相位旋转的方法将离析信号对准实轴,然后从虚轴读取缺陷信号。为解决这一问题,本研究提出并实施了一种莫比乌斯变换(Mobius transformation),该变换可在复平面上对弧形离析信号进行线性化处理,从而更准确地提取不受离析信号高度影响的裂纹信号。此外,通过 k-nearest neighbors (kNN) 方法证明,变换后的裂纹信号仍可有效量化。
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A Mobius transformation-based liftoff effect reduction method for crack classification and prediction in eddy current testing
In eddy current (EC) defect evaluation, accurate determination of the crack depth is crucial. The lift-off signal on the complex impedance plane is not necessarily horizontal and mostly arc-shaped, which makes it difficult to separate from crack signals, which can have various orientations depending on probe characteristics and frequencies. Phase rotation is normally used to align the lift-off signal to the real axis and defect signal is read from the imaginary axis. However, this approach proves challenging to separate lift-off and defect signals within the complex plane in many cases.
To address this issue, this study proposes and implements a Mobius transformation that linearizes the arc-shaped lift-off signals on the complex plane, enabling more accurate extraction of crack signals unaffected by lift-off signal height. Furthermore, it is demonstrated through k-nearest neighbors (kNN) that the transformed crack signals can still be effectively quantified.
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来源期刊
Ndt & E International
Ndt & E International 工程技术-材料科学:表征与测试
CiteScore
7.20
自引率
9.50%
发文量
121
审稿时长
55 days
期刊介绍: NDT&E international publishes peer-reviewed results of original research and development in all categories of the fields of nondestructive testing and evaluation including ultrasonics, electromagnetics, radiography, optical and thermal methods. In addition to traditional NDE topics, the emerging technology area of inspection of civil structures and materials is also emphasized. The journal publishes original papers on research and development of new inspection techniques and methods, as well as on novel and innovative applications of established methods. Papers on NDE sensors and their applications both for inspection and process control, as well as papers describing novel NDE systems for structural health monitoring and their performance in industrial settings are also considered. Other regular features include international news, new equipment and a calendar of forthcoming worldwide meetings. This journal is listed in Current Contents.
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