Journal ArticleDOI
Super-Resolution Ultrasound Lamb Wave NDE Imaging of Anisotropic Airplane Laminates via Deconvolutional Neural Network
Shaolin Liao,Lu Ou,Lijun Xu +2 more
TLDR
A deconvolutional neural network is integrated into the ultrasound (UT) pulse-echo Lamb wave nondestructive evaluation (NDE) imaging technique to achieve subwavelength super-resolution defect images for the application of anisotropic composite airplane-laminated structures.Abstract:
A deconvolutional neural network (DNN) is integrated into the ultrasound (UT) pulse-echo Lamb wave nondestructive evaluation (NDE) imaging technique to achieve subwavelength super-resolution defect images for the application of anisotropic composite airplane-laminated structures. First, numerical simulation has been performed to simulate the multilayer velocity–frequency dispersion relation of the symmetric and antisymmetric Lamb wave modes. Then, a super-resolution DNN is developed with all Lamb wave modes as the convolutional kernels to obtain the subwavelength defects image of the laminated structures. After that, the effectiveness of the pulse-echo Lamb wave NDE imaging technique is verified by the experimental test of a standard aluminum metal plate with three calibration holes of 2/3/5 mm diameters at the UT center frequency of 2 MHz and a line defect. Finally, the experiment of the pulse-echo Lamb wave NDE imaging technique is carried out with an L-joint coupon sample made of anisotropic graphite–epoxy airplane materials. The comparison between the experimental result and the conventional pitch-catch C-scan shows that the Lamb wave NDE technique can reveal more details of the defects, indicating its promising application in anisotropic layers’ structures defects inspection.read more
Citations
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Journal ArticleDOI
Deep Convolutional Neural Network Probability Imaging for Plate Structural Health Monitoring Using Guided Waves
Bin Zhang,Xiaobin Hong,Yuan Liu +2 more
TL;DR: In this paper, a deep convolutional neural network probability imaging algorithm (DCNN-PIA) is proposed to provide an automatic high-level damage index extraction method for guided wave imaging.
Journal ArticleDOI
Laser ultrasonics and machine learning for automatic defect detection in metallic components
TL;DR: Wang et al. as discussed by the authors developed an automatic and reliable nondestructive evaluation (NDE) technique that enables quantification of the width and depth of subsurface defects of metallic components simultaneously by using noncontact laser ultrasonic technique and identified machine learning (ML) algorithm.
Journal ArticleDOI
Emergence of Machine Learning Techniques in Ultrasonic Guided Wave-based Structural Health Monitoring
TL;DR: This study shows the great potential of ML algorithms to assist and enhance UGW-based damage detection algorithms.
Journal ArticleDOI
Sparse Array Ultrasonic Lamb Wave TDTE Imaging Method
TL;DR: In this paper, a TDTE imaging method of a sparse ultrasonic Lamb wave is proposed to solve the blind hole defects, such as structural plate corrosion and cracks, and Lamb waves are bound to appear mode-coupled at these defects.
Journal ArticleDOI
Using Lamb wave TDTE method to realize ultrasonic array super-resolution imaging of multiple asymmetric defects
TL;DR: In this article, an ultrasonic Lamb wave inverse scattering topological imaging method based on time-domain topological energy (TDTE) was proposed, where the direct and the adjoint sound fields were fused, and the TDTE value was taken as the pixel value of imaging.
References
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Journal ArticleDOI
Blind image deconvolution
TL;DR: The problem of blind deconvolution for images is introduced, the basic principles and methodologies behind the existing algorithms are provided, and the current trends and the potential of this difficult signal processing problem are examined.
Proceedings Article
Deep Convolutional Neural Network for Image Deconvolution
Li Xu,Jimmy Ren,Ce Liu,Jiaya Jia +3 more
TL;DR: This work develops a deep convolutional neural network to capture the characteristics of degradation, establishing the connection between traditional optimization-based schemes and a neural network architecture where a novel, separable structure is introduced as a reliable support for robust deconvolution against artifacts.
Journal ArticleDOI
Modelling of Lamb waves for damage detection in metallic structures: Part II. Wave interactions with damage
BC Lee,W J Staszewski +1 more
TL;DR: In this paper, the local interaction simulation approach for Lamb wave propagation modelling in metallic structures is applied to analyze two-dimensional wave interactions with slot-type defects, and the results show the potential for complex modeling of acousto-ultrasonic waves in damage detection applications.
Journal ArticleDOI
Modelling of Lamb waves for damage detection in metallic structures: Part I. Wave propagation
B C Lee,Wieslaw J. Staszewski +1 more
TL;DR: In this paper, an application of the local interaction simulation approach for wave propagation in metallic structures is reported, where the focus of the analysis is on damage detection applications, and the simulated results are validated experimentally.
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