Deconvolution of ultrasonic signals using a convolutional neural network
A Chapon, D Pereira, M Toews, P Belanger - Ultrasonics, 2021 - Elsevier
Successfully employing ultrasonic testing to distinguish a flaw in close proximity to another
flaw or geometrical feature depends on the wavelength and the bandwidth of the ultrasonic …
flaw or geometrical feature depends on the wavelength and the bandwidth of the ultrasonic …
An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection
In guided wave pipeline inspection, echoes reflected from closely spaced reflectors
generally overlap, meaning useful information is lost. To solve the overlapping problem …
generally overlap, meaning useful information is lost. To solve the overlapping problem …
Resolution enhancement in ultrasonic TOFD imaging by combining sparse deconvolution and synthetic aperture focusing technique (Sparse-SAFT)
X Sun, L Lin, S Jin - Chinese Journal of Mechanical Engineering, 2022 - Springer
The shallow subsurface defects are difficult to be identified and quantified by ultrasonic time-
of-flight diffraction (TOFD) due to the low resolution induced by pulse width and beam …
of-flight diffraction (TOFD) due to the low resolution induced by pulse width and beam …
Improving time resolution of ultrasonic signals with frequency-domain sparse blind deconvolution (FSBD) method
X Sun, L Lin, SJ Jin - Journal of Nondestructive Evaluation, 2022 - Springer
The improvement of time resolution is commonly concerned in ultrasonic testing, while the
reference signal significantly influences the decoupling and interpretation of multiple …
reference signal significantly influences the decoupling and interpretation of multiple …
Increasing axial resolution of ultrasonic imaging with a joint sparse representation model
The axial resolution of ultrasonic imaging is confined by the temporal width of acoustic pulse
generated by the transducer, which has a limited bandwidth. Deconvolution can eliminate …
generated by the transducer, which has a limited bandwidth. Deconvolution can eliminate …
Fast and efficient computing for deep learning-based defect detection models in lightweight devices
Defect anomaly detection is beneficial in the production cycle of various industries. It is
widely used in areas such as metal surface and fabric industries. This paper focuses on …
widely used in areas such as metal surface and fabric industries. This paper focuses on …
Comparison on PMT waveform reconstructions with JUNO prototype
HQ Zhang, ZM Wang, YP Zhang… - Journal of …, 2019 - iopscience.iop.org
JUNO is a 20 kton underground liquid scintillator detector aiming to determine the neutrino
mass hierarchy and neutrino measurements. A prototype of JUNO is designed and set up for …
mass hierarchy and neutrino measurements. A prototype of JUNO is designed and set up for …
Sparse deconvolution method for ultrasound images based on automatic estimation of reference signals
Sparse deconvolution is widely used in the field of non-destructive testing (NDT) for
improving the temporal resolution. Generally, the reference signals involved in sparse …
improving the temporal resolution. Generally, the reference signals involved in sparse …
A model-based regularized inverse method for ultrasonic B-scan image reconstruction
Ultrasonic B-scan imaging is affected by the acoustic diffraction and electrical effects in
nondestructive testing (NDT), resulting in insufficient lateral and temporal resolution for …
nondestructive testing (NDT), resulting in insufficient lateral and temporal resolution for …
Axial super-resolution in ultrasound imaging with application to non-destructive evaluation
A fundamental challenge in non-destructive evaluation using ultrasound is to accurately
estimate the thicknesses of different layers or cracks present in the object under …
estimate the thicknesses of different layers or cracks present in the object under …