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David Garcia Cava
David Garcia Cava
Senior Lecturer - University of Edinburgh
在 ed.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Vibration-based delamination diagnosis and modelling for composite laminate plates
D Garcia, R Palazzetti, I Trendafilova, C Fiorini, A Zucchelli
Composite Structures 130, 155-162, 2015
742015
An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade
A Movsessian, D Garcia Cava, D Tcherniak
Mechanical systems and signal processing 159, 107766, 2021
712021
An experimental study on the data-driven structural health monitoring of large wind turbine blades using a single accelerometer and actuator
D Garcia, D Tcherniak
Mechanical systems and signal processing 127, 102-119, 2019
662019
A multivariate data analysis approach towards vibration analysis and vibration-based damage assessment: Application for delamination detection in a composite beam
D Garcia, I Trendafilova
Journal of Sound and Vibration 333 (25), 7036-7050, 2014
52*2014
Interpretable machine learning in damage detection using Shapley Additive Explanations
A Movsessian, D Garcia Cava, D Tcherniak
engrXiv, 2021
232021
Singular spectrum analysis as a tool for early detection of centrifugal compressor flow instability
A Logan, D Garcia Cava, G Liśkiewicz
Measurement 173, 108536, 2021
182021
A study on the vibration-based self-monitoring capabilities of nano-enriched composite laminated beam
D Garcia, I Trendafilova, JD Inman
Smart Materials and Structures 25 (2016), 045011, 2016
182016
Damage assessment for wind turbine blades based on a multivariate statistical approach
D García, D Tcherniak, I Trendafilova
Journal of Physics: Conference Series 628 (1), 012086, 2015
172015
Osteoporosis screening: applied methods and technological trends
MA de Oliveira, R Moraes, EB Castanha, AS Prevedello, J Vieira Filho, ...
Medical Engineering & Physics 108, 103887, 2022
162022
Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades
B Pavlack, J Paixão, S Da Silva, A Cunha Jr, D Garcia Cava
Structural Health Monitoring 21 (2), 666-682, 2022
162022
Dynamical system analysis of unstable flow phenomena in centrifugal blower
D Garcia, M Stickland, G Liśkiewicz
Open Engineering 5 (1), 2015
162015
On explicit and implicit procedures to mitigate environmental and operational variabilities in data-driven structural health monitoring
D García Cava, LD Avendaño-Valencia, A Movsessian, C Roberts, ...
Structural Health Monitoring Based on Data Science Techniques, 309-330, 2022
152022
A semi-supervised interpretable machine learning framework for sensor fault detection
P Martakis, A Movsessian, Y Reuland, SGS Pai, S Quqa, D Garcia Cava, ...
Smart Struct. Syst. Int. J 29, 251-266, 2021
142021
Operational metrics for an offshore wind farm & their relation to turbine access restrictions and position in the array
F Anderson, R Dawid, DG Cava, D McMillan
Journal of Physics: Conference Series 2018 (1), 012002, 2021
112021
Understanding the Influence of Environmental and Operational Variability on Wind Turbine Blade Monitoring
C Roberts, D Garcia Cava, LD Avendaño-Valencia
European Workshop on Structural Health Monitoring, 109-118, 2020
112020
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations
C Roberts, DG Cava, LD Avendaño-Valencia
Structural Health Monitoring 22 (2), 1237-1255, 2023
92023
Operational modal analysis for scour detection in mono-pile offshore wind turbines
K Qu, DG Cava, S Killbourn, A Logan
European workshop on structural health monitoring, 668-678, 2022
92022
A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations
C Roberts, D Garcia, D Tcherniak
Proceedings of the 13th International Conference on Damage Assessment of …, 2019
72019
Aerodynamic instabilities detection via empirical mode decomposition in centrifugal compressors
M Stajuda, DG Cava, G Liśkiewicz
Measurement 199, 111496, 2022
62022
Mitigation of environmental variabilities in damage detection: A comparative study of two semi-supervised approaches
A Movsessian, BA Qadri, D Tcherniak, D Garcia Cava, MD Ulriksen
EURODYN 2020: XI International Conference on Structural Dynamics, 2020
62020
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