Robert R. Hughes

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Paul D WilcoxUniversity of BristolVerified email at bristol.ac.uk
Richard J. PyleUniversity of BristolVerified email at bristol.ac.uk
Amine Ait Si AliData ScientistVerified email at rosen-group.com
Bruce W DrinkwaterUniversity of BristolVerified email at bristol.ac.uk
Qiuji YiAssistant Professor and Vice Chancellor Fellow at Northumbria UniversityVerified email at northumbria.ac.uk
Harry FeltonCAE Engineer, McLaren Applied and Honorary Industrial Fellow, University of BristolVerified email at bristol.ac.uk
Rosen RachevR&D Scientist, Canadian Nuclear LaboratoriesVerified email at cnl.ca
Andrea Díaz GaxiolaKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
A.J.MulhollandUniversity of BristolVerified email at bristol.ac.uk
Richard LuxtonProfessor of Bio-sensing Technology, University of the West of EnglandVerified email at uwe.ac.uk
Janice BartonVerified email at bristol.ac.uk
Prof Philipp R. ThiesUniversity of ExeterVerified email at exeter.ac.uk
Geir OlafssonResearch Associate, University of BristolVerified email at bristol.ac.uk
Rachel Nicholls-LeeResearch Fellow, University of ExeterVerified email at exeter.ac.uk
Anthony John CroxfordUniversity of BristolVerified email at bristol.ac.uk
Vincent K. MaesResearch Associate, University of BristolVerified email at bristol.ac.uk
Meirbek MussatayevDrVerified email at bristol.ac.uk
Aaron FishmanUniversity of BristolVerified email at bristol.ac.uk
Nervo Xavier VerdezotoSenior Lecturer in Human-Computer Interaction, Cardiff UniversityVerified email at cardiff.ac.uk
Laura GreenPVC College of Life and Environmental Sciences BirminghamVerified email at bham.ac.uk

Robert R. Hughes

University of Bristol

Verified email at bristol.ac.uk - Homepage

Eddy-current testing Inductive Sensing NDT Carbon Fibre Composites Lab-on-a-chip


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Near electrical resonance signal enhancement (NERSE) in eddy-current crack detection R Hughes, Y Fan, S Dixon Ndt & E International 66, 82-89, 2014	83	2014
Deep learning for ultrasonic crack characterization in NDE RJ Pyle, RLT Bevan, RR Hughes, RK Rachev, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020	81	2020
Characterisation of carbon fibre-reinforced polymer composites through radon-transform analysis of complex eddy-current data RR Hughes, BW Drinkwater, RA Smith Composites Part B: Engineering 148, 252-259, 2018	58	2018
Negligible-cost microfluidic device fabrication using 3D-printed interconnecting channel scaffolds H Felton, R Hughes, A Diaz-Gaxiola PLoS One 16 (2), e0245206, 2021	29	2021
Uncertainty quantification for deep learning in ultrasonic crack characterization RJ Pyle, RR Hughes, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022	23	2022
High-sensitivity eddy-current testing technology for defect detection in aerospace superalloys RR Hughes University of Warwick, 2015	19	2015
Analysis of electrical resonance distortion for inductive sensing applications RR Hughes, S Dixon IEEE Sensors Journal 18 (14), 5818-5825, 2018	18	2018
Performance analysis of single-frequency near electrical resonance signal enhancement (SF-NERSE) defect detection RR Hughes, S Dixon NDT & E International 102, 96-103, 2019	17	2019
Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging Q Yi, P Wilcox, R Hughes Composites Part B: Engineering 248, 110343, 2023	12	2023
Domain adapted deep-learning for improved ultrasonic crack characterization using limited experimental data RJ Pyle, RLT Bevan, RR Hughes, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022	10	2022
Eddy-current crack detection at frequencies approaching electrical resonance RR Hughes, S Dixon AIP Conference Proceedings 1581 (1), 1366-1373, 2014	8	2014
Developments in near electrical resonance signal enhancement (NERSE) eddy-current methods R Hughes, S Dixon AIP Conference Proceedings 1650 (1), 345-352, 2015	7	2015
Interpretable and explainable machine learning for ultrasonic defect sizing RJ Pyle, RR Hughes, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2023	3	2023
Exploring high-frequency eddy-current testing for sub-aperture defect characterisation using parametric-manifold mapping RR Hughes, BW Drinkwater NDT & E International 124, 102534, 2021	3	2021
Investigating electrical resonance in eddy-current array probes R Hughes, Y Fan, S Dixon AIP Conference Proceedings 1706 (1), 2016	3	2016
Near electrical resonance signal enhancement (nerse) for sub-millimetre detection in aerospace superalloys R Hughes International Journal of Aerospace and Lightweight Structures (IJALS) 4 (2), 2014	3	2014
Analytical approximations for magnetic coupling coefficients between adjacent coils RR Hughes, AH Arroyo, AJ Mulholland IEEE Transactions on Magnetics, 2023	2	2023
Passive wireless mechanical overload sensing: Proof of concept using agarose hydrogels FAA del Castillo Manzanos, RR Hughes, AJ Croxford IEEE Transactions on Instrumentation and Measurement, 2023	2	2023
Non-destructive examination (NDE) methods for dynamic subsea cables for offshore renewable energy R Nicholls-Lee, PR Thies, JM Dulieu-Barton, G Olafsson, R Hughes, ... Progress in Energy 4 (4), 042011, 2022	2	2022
Multi-element sensor array calibration method RR Hughes, CJL Lane US Patent 10,132,906, 2018	2	2018

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