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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.
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Comparison of time and frequency domain features’ immunity against lift-off in pulse-compression eddy current imaging
TL;DR: This is the first experimental evidence of the lift-off invariance points retrieved after applying pulse-compression in combination with coded excitation instead of using directly pulsed, multi-tone or single-tone sinusoidal signals.
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Evaluation of Atmospheric Corrosion on Coated Steel Using $K$ -Band Sweep Frequency Microwave Imaging
TL;DR: In this paper, a sweep frequency microwave non-destructive testing technique was used to identify, detect, and evaluate the coated corrosion in different exposure periods without selecting operation frequency, which is a potential solution for remote corrosion evaluation.
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A machine vision system for on-line removal of contaminants in wool
TL;DR: A machine vision system, consisting of a colour line-scan CCD camera, frame grabber, host computer and air-jets, is investigated and presented in this paper, which can be used to identify and remove the contaminants in scoured wool.
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Domain wall characterization inside grain and around grain boundary under tensile stress
TL;DR: In this paper, the authors investigated the properties of the domain wall inside grains and around grain boundaries under low tensile stress and the relationship among domain wall, magneto-elastic energy, and the magnetization inside grain and around grains boundaries.
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Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm
TL;DR: Experimental results showed the efficacy of the method in detecting defects on an insulated pipe, in particular, a significant reduction in the noise content of the image compared to the known SAR Omega-k algorithm.