Tomography of wall-thinning defect in plate structure based on guided wave signal acquisition by numerical simulations
Author:
Funder
Korea National Research Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12650-024-00977-z.pdf
Reference34 articles.
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2. Barashok K et al (2023) Deep learning algorithms for defect detection using phased array ultrasonic testing data. J Korean Soc Nondestruct Test 43:34–43
3. Chen X, Lei Y (2014) Excitation current waveform for eddy current testing on the thickness of ferromagnetic plates. NDT&E Int 66:28–33. https://doi.org/10.1016/J.NDTEINT.2014.04.006
4. Deng W et al (2020) Defect image recognition and classification for eddy current testing of titanium plate based on convolutional neural network. Complexity. https://doi.org/10.1155/2020/8868190
5. Drozdz M et al (2007) Modeling bulk and guided waves in unbounded elastic media using absorbing layers in commercial finite element packages. AIP Conf Proc 894:87–94. https://doi.org/10.1063/1.271958
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