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Gui Yun Tian
Researcher at Newcastle University
Publications - 508
Citations - 14615
Gui Yun Tian is an academic researcher from Newcastle University. The author has contributed to research in topics: Nondestructive testing & Eddy current. The author has an hindex of 56, co-authored 489 publications receiving 11308 citations. Previous affiliations of Gui Yun Tian include University of East Anglia & University of Derby.
Papers
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Design of an electromagnetic imaging system for weapon detection based on GMR sensor arrays
TL;DR: The design of a detection system for the identification of conductive objects based on their response to EM fields and how to construct a two-dimensional image from the measured signals to be used for image processing purposes are addressed.
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Electromagnetic Thermography Nondestructive Evaluation: Physics-based Modeling and Pattern Mining
TL;DR: This study generates physics-mathematical modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains and renders the EMT a promising candidate for the highly efficient and yet flexible NDT&E.
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Variational mode decomposition linked wavelet method for EMAT denoise with large lift-off effect
TL;DR: A modified variational mode decomposition (VMD) linked wavelet method for EMAT denoising enables to suppress both high-frequency narrowband noise and normal noise in EMAT signals with a large lift-off detection condition.
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Feature-Based Registration for 3D Eddy Current Pulsed Thermography
TL;DR: A 3D eddy current pulsed thermography system by integration the ECPT system with an RGB-D (3D point cloud with RGB texture information) camera, which provides quantified data, including 3D heat distribution and the 3D spatial relationship between defect position, the excitation coil, and the whole specimen shows its potential of quantitative evaluation of the defect characteristics.
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Features extraction of sensor array based PMFL technology for detection of rail cracks
TL;DR: In this paper, a full set of PMFL system based on sensor array is used to detect the standard specimens, in order to eliminate the noise and extract the feature, the detecting signal is analyzed and processed by some pre-treatments.