Defect detection of spherical heads by time-of-flight diffraction

Jin, Shijie; Wang, Xinhao; Wang, Zhicheng; Luo, Zhongbing

doi:10.1016/j.apacoust.2023.109787

Cited by 2 publications

(2 citation statements)

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“…The advantage of diffracted waves is that they travel in any direction and can therefore be received by the transducers at many positions. Additionally, defect assessment for the ultrasonic diffraction method only depends on the arrival times of diffracted waves rather than their amplitudes [3]. Hence, the ultrasonic diffraction method 2 of 18 is sensitive to defects, especially cracks [4,5].…”

Section: Introductionmentioning

confidence: 99%

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A Deep Learning-Based Ultrasonic Diffraction Data Analysis Method for Accurate Automatic Crack Sizing

Fei,

Cao,

et al. 2024

Applied Sciences

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The purpose of this paper is to automate the interpretation of data during ultrasonic diffraction using a non-destructive testing (NDT) technique to accurately size defects for assisting in decision-making. A convolutional neural network (CNN) architecture was developed to automatically measure the length of the defect. Using the architecture, the population of A-scan signals in the scanning path was classified. The defect region was extracted and its size in the scanning direction was obtained by the connected region solution algorithm based on the classification results. The arrival time of diffraction waves was accurately identified by the intelligent denoising framework proposed, combined with Hilbert transform, and then the height of defects was calculated by corresponding geometric relations. The estimation results demonstrate that the measurement method can be considered as a useful technique for crack sizing in industrial structures, even in the case of complex noise.

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Section: Introductionmentioning

confidence: 99%

“…Sci. 2024, 14, x FOR PEER REVIEW 2 depends on the arrival times of diffracted waves rather than their amplitudes [3]. He the ultrasonic diffraction method is sensitive to defects, especially cracks [4,5].…”

Section: Introductionmentioning

confidence: 99%