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Comparison of time and frequency domain features' immunity against lift-off in pulse-compression eddy current imaging

机译:在脉冲压缩涡流成像中时域和频域特征抗剥离的比较

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This paper reports a comparison between imaging procedures based on time-and frequency-domain features applied to eddy current data collected on an Aluminium alloy benchmark sample. Both the defect detection capability and the immunity against lift-off are analysed. Historically, the pulsed eddy current method was introduced to improve the performance of eddy current testing both in terms of increased penetration depth and lift-off invariance by exploiting time-domain features analysis, commonly precluded when using single-or multi tone excitations. In this work, such analysis is instead accomplished by using a swept-frequency excitation signal along with an optimized pulse-compression procedure. This approach allows the user to easily tune the energy delivered to the system by increasing the sweep duration to improve on demand the resultant Signal-to-Noise Ratio (SNR) without losing the capability of time-domain feature extraction. The imaging procedure makes use of amplitude and phase features of both frequency-and time-domain data where time-phase is defined through the Hilbert transform of the pulse-compression output. The detection capability of various imaging strategies, namely A-, B- and C-scans, are compared in terms of inspection depth and lift-off robustness by using the SNR merit factor. It is shown that time-domain features outperform frequency-based ones in terms of SNR for the case of deeper defects and that phase features are robust against lift-off variations for both time and frequency domains. In addition, the analysis of time-amplitude images clearly shows the presence of lift-off invariant points. To our knowledge, this is the first experimental evidence of the lift-off invariance points retrieved after applying pulse-compression in combination with coded excitation instead of using directly pulsed, multi-tone or single-tone sinusoidal signals. This not only confirms previous results achieved by the authors but also demonstrates that pulse-compression eddy current can represent a solution to combine the advantages of pulsed and sinusoidal excitation strategies.
机译:本文报告了基于时域和频域特征的成像程序之间的比较,这些特征适用于在铝合金基准样品上收集的涡流数据。分析了缺陷检测能力和抗剥离能力。从历史上讲,脉冲涡流方法被引入来通过利用时域特征分析来提高穿透深度和提离不变性,从而改善涡流测试的性能,这通常是在使用单音或多音激励时进行的。在这项工作中,通过使用扫频激励信号以及优化的脉冲压缩程序来完成这种分析。该方法允许用户通过增加扫描持续时间来轻松调整传递给系统的能量,以按需改善所得的信噪比(SNR),而不会失去时域特征提取的能力。成像过程利用了频域和时域数据的幅度和相位特征,其中通过脉冲压缩输出的希尔伯特变换来定义时相。通过使用SNR优值因子,根据检查深度和剥离强度对各种成像策略(即A扫描,B扫描和C扫描)的检测能力进行了比较。结果表明,在缺陷更深的情况下,时域特征在信噪比方面优于基于频率的特征,并且相位特征对于时域和频域的提离变化具有鲁棒性。另外,对时间振幅图像的分析清楚地表明了提离不变点的存在。据我们所知,这是在将脉冲压缩与编码激励相结合而不是直接使用脉冲,多音或单音正弦信号后获得的提升不变点的第一个实验证据。这不仅证实了作者先前的成果,而且证明了脉冲压缩涡流可以代表结合脉冲和正弦激励策略优点的解决方案。

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