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Szymon Greś
Szymon Greś
Postdoc; Aarhus University
在 ibk.baug.ethz.ch 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Uncertainty quantification of the Modal Assurance Criterion in operational modal analysis
S Greś, M Döhler, L Mevel
Mechanical Systems and Signal Processing 152, 107457, 2021
542021
Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation
S Greś, M Döhler, P Andersen, L Mevel
Mechanical Systems and Signal Processing 146, 106996, 2021
492021
Statistical methods for damage detection applied to civil structures
S Gres, MD Ulriksen, M Döhler, RJ Johansen, P Andersen, L Damkilde, ...
Procedia engineering 199, 1919-1924, 2017
442017
Uncertainty quantification for the Modal Phase Collinearity of complex mode shapes
S Greś, M Döhler, P Andersen, L Mevel
Mechanical Systems and Signal Processing 152, 107436, 2021
272021
Orthogonal projection-based harmonic signal removal for operational modal analysis
S Gres, P Andersen, C Hoen, L Damkilde
Structural Health Monitoring, Photogrammetry & DIC, Volume 6: Proceedings of …, 2019
272019
Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind turbine blade
S Greś, R Riva, CY Süleyman, P Andersen, M Luczak
Engineering Structures 256, 114001, 2022
192022
Uncertainty quantification of input matrices and transfer function in input/output subspace system identification
S Greś, M Döhler, NJ Jacobsen, L Mevel
Mechanical Systems and Signal Processing 167, 108581, 2022
182022
Subspace-based Mahalanobis damage detection robust to changes in excitation covariance
S Greś, M Döhler, P Andersen, L Mevel
Structural Control and Health Monitoring 2760 (https://doi.org/10.1002/stc.2760), 2021
182021
Statistical model-based optimization for damage extent quantification
S Greś, M Döhler, L Mevel
Mechanical Systems and Signal Processing 160, 107894, 2021
142021
Operational modal analysis of rotating machinery
S Gres, P Andersen, L Damkilde
Rotating Machinery, Vibro-Acoustics & Laser Vibrometry, Volume 7 …, 2019
122019
Automated uncertainty-based extraction of modal parameters from stabilization diagrams
J Priou, S Gres, M Perrault, L Guerineau, M Döhler
IOMAC 2022-9th International Operational Modal Analysis Conference, 2022
102022
Experimental damping assessment of full scale offshore Mono Bucket foundation
S Gres, M Fejerskov, L Ibsen, L Damkilde
ISMA-The International Conference on Noise and Vibration Engineering, 2016
102016
Variance computation of the Modal Assurance Criterion
S Gres, M Döhler, P Andersen, L Mevel
ISMA-The International Conference on Noise and Vibration Engineering, 2018
82018
A comparison of damage detection methods applied to civil engineering structures
S Gres, P Andersen, RJ Johansen, MD Ulriksen, L Damkilde
Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018
82018
Low-rank approximation of Hankel matrices in denoising applications for statistical damage diagnosis of wind turbine blades
S Greś, KE Tatsis, V Dertimanis, E Chatzi
Mechanical Systems and Signal Processing 197, 110391, 2023
62023
Response of a stiff monopile for a long-term cyclic loading
A Lada, S Gres, G Nicolai, LB Ibsen
Department of Civil Engineering, Aalborg University, 2014
62014
Uncertainty propagation in subspace methods for operational modal analysis under misspecified model orders
S Gres, M Döhler
ISMA 2022-International Conference on Noise and Vibration Engineering, 1-12, 2022
52022
Statistical damage detection and localization with Mahalanobis distance applied to modal parameters
S Gres, A Mendler, NJ Jacobsen, P Andersen, M Döhler
IOMAC 2022-9th International Operational Modal Analysis Conference, 1-8, 2022
52022
On the probability of localizing damages based on mode shape changes
A Mendler, S Greś, M Döhler, S Keßler
European Workshop on Structural Health Monitoring, 233-243, 2022
52022
Vibration-based monitoring of structures: algorithms for fault detection and uncertainty quantification of modal indicators
S Gres
Aalborg Universitetsforlag, 2019
42019
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