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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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High sensitivity flexible double square winding eddy current array for surface micro-defects inspection

TL;DR: In this article, a flexible eddy current sensing system that incorporates double square winding excitation with a multi detection flexible array for cracks inspection is proposed, where two square drive traces are located in the separated layers while the pick-up traces are sandwiched between the drive traces.
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Smart Compressed Sensing for Online Evaluation of CFRP Structure Integrity

TL;DR: This paper investigates a smart sensing technique for online and automatic evaluation for carbon fiber reinforced polymer (CFRP) structures’ integrity and proposes a compressed sensing (CS)-based algorithm framework integrating sampling and defect evaluation together, which is attractive in quality control of CFRPs production.
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CFRP Impact Damage Inspection Based on Manifold Learning Using Ultrasonic Induced Thermography

TL;DR: The proposed method using image sequences could provide a visualized, reliable, and effective impact damage inspection and localization means for CFRP material during manufacturing and in service.
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Independent Component Analysis–Based Feature Extraction Technique for Defect Classification Applied for Pulsed Eddy Current NDE

TL;DR: In this article, the Independent Component Analysis (ICA) approach was used to evaluate the defects tested by the pulsed eddy current (PEC) technique, which is a high-order statistics technique used to separate multi-unknown sources, which has been successfully applied to facial image identification and separation of the components of 1D signal.
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HOOSC: heterogeneous online/offline signcryption for the Internet of Things

TL;DR: A heterogeneous secure scheme to build a secure channel between WSNs and Internet server in the IoTs has less energy consumption and computational cost, and is more scalable at the Internet server side.