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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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Periodic Pulsed Thermography for Inner Defects Detection of Lead-Steel Bonded Structure
TL;DR: In this article, the mathematical derivation and the implementation of the periodic pulsed thermography have been established for detecting inner defects of lead-steel structure, especially conducted for detecting small and deep defects that require high energy to increase detectability.
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Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection.
TL;DR: The research result showed that an electromagnetic flowmeter based on differential correlation detection satisfies the need for measurement completely and has unique advantages in measurements taken under the conditions of strong noise, slurry flow, and low flow rate.
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Multifunctional flexible sensor array-based damage monitoring for switch rail using passive and active sensing
Pan Hu,Pan Hu,Haitao Wang,Gui Yun Tian,Gui Yun Tian,Yang Liu,Yang Liu,Xin Li,Billie F. Spencer +8 more
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Differential ECT Probe Design and Investigation for Detection of Rolling Contact Fatigue Cracks With Different Orientations
TL;DR: In this paper , a differential transformer ECT probe using AD698 signal conditioning was developed to detect cracks with different orientations in rail treads, which can solve the detection ability and lift-off problem of crack with different orientation on complex curved surfaces.
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Research on the Time Drift Stability of Differential Inductive Displacement Sensors with Frequency Output
Xiaolong Lu,Gui Yun Tian,Zongwen Wang,Wentao Li,Dehua Yang,Haoran Li,You Wang,Jijun Ni,Yong Zhang +8 more
TL;DR: In this article , the authors investigated key factors of sensor structure and material, signal conditioning and interface, and fixtures for time drift to permanently installed applications, and compared two kinds of signal conditioning methods using resonance circuits and inductance-to-digital converter (LDC) chips.