Publications

Journal papers (8 papers accepted)

[8] S. Greś, K.E. Tatsis, V. Dertimanis, E. Chatzi, Low-rank approximation of Hankel matrices in denoising applications for statistical damage diagnosis of wind turbine blades, Mechanical Systems and Signal Processing, Vol. 197, 2023, doi.

[7] S. Greś, R. Riva, C. S. Süleyman, P. Andersen, M. Łuczak, Uncertainty quantification of modal parameter estimates obtained from subspace identification: an experimental validation study, Engineering Structures, Vol. 256, 2022, doi.

[6] S. Greś, M. Döhler, N. J. Jacobsen, L. Mevel, Uncertainty quantification of input matrices and transfer function in input/output subspace system identification, Mechanical Systems and Signal Processing, Vol. 167 part B, 2022, doi.

[5] S. Greś, M. Döhler, P. Andersen, L. Mevel, Subspace-based Mahalanobis damage detection robust to changes in excitation covariance, Structural Control and Health Monitoring, Vol. 28 issue 8, 2021, doi.

[4] S. Greś, M. Döhler, L. Mevel, Statistical model-based optimization for damage extent quantification, Mechanical Systems and Signal Processing, Vol. 160, 2021, doi.

[3] S. Greś, M. Döhler, L. Mevel, Uncertainty quantification of the Modal Assurance Criterion in Operational Modal Analysis, Mechanical Systems and Signal Processing, Vol. 152, 2021, doi.

[2] S. Greś, M. Döhler, P. Andersen, L. Mevel, Uncertainty quantification of the Modal Phase Collinearity for complex valued mode shapes, Mechanical Systems and Signal Processing, Vol. 152, 2021, doi.

[1] S. Greś, M. Döhler, P. Andersen, L. Mevel, Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation, Mechanical Systems and Signal Processing, Vol. 146, 2021, doi.

PhD thesis

S. Greś, Vibration-based monitoring of structures: algorithms for fault detection and uncertainty quantification of modal indicators, Aalborg Universitetsforlag, Ph.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet, ISBN 978-87-7210-469-0, 2019.

Conference papers

[20] S. Greś, K.E. Tatsis, V. Dertimanis, E. Chatzi, Parameter-state estimation for mechanical systems with small model errors, Accepted in IFAC WC, 2023.

[19] Greś, S., Anastasopoulos, D., Hansen, J., Abbiati, G., & Reynders, E, Statistical sensitivity-based damage localization with optical strain-based features. In ISMA 2022-International Conference on Noise and Vibration Engineering (ISMA), 2022. 

[18] Denimal, E., & Greś, S, Crack-damage quantification based on stochastic optimization of finite element models with data-driven features. In ISMA 2022-International Conference on Noise and Vibration Engineering, 2022. 

[17] Greś, S., & Döhler, M, Uncertainty propagation in subspace methods for operational modal analysis under misspecified model orders. In ISMA 2022-International Conference on Noise and Vibration Engineering, 2022. 

[16] S. Greś, K.E. Tatsis, V. Dertimanis, E. Chatzi, Hankel matrix-based Denoising for Statistical Damage Diagnosis, Proceedings of IOMAC, 2022.

[15] S. Greś, A. Mendler, N. J. Jacobsen, P. Andersen, M. Döhler, Statistical damage detection and localization with Mahalanobis distance applied to modal parameters, Proceedings of IOMAC, 2022.

[14] N. J. Jacobsen, P. Andersen, A. Mendler, S. Greś, A general framework for damage detection with statistical distance measures: application to civil engineering structures, Proceedings of IOMAC, 2022.

[13] J. Priou, S. Greś, M. Perrault, L. Guerineau, M. Döhler, Automated uncertainty-based extraction of modal parameters from stabilization diagrams, Proceedings of IOMAC, 2022.

[12] A. Mendler, S. Greś, M. Döhler, S. Keßler, On the probability of localizing damages based on mode shape changes, European Workshop on Structural Health Monitoring (EWSHM). Springer, Cham, 2023, doi.

[11] S. Greś, M. Döhler, L. Mevel, Statistical optimization for subspace-based damage quantification, 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 - Porto.

[10] S. Greś, M. Döhler, L. Mevel, Hankel-based Mahalanobis distance for fault detection robust towards changes in noise covariances, IFAC-PapersOnLine 54.7 (2021): 73-78, doi.

[9] S. Greś, M. Döhler, L. Mevel, Variance computation for system matrices and transfer function from input/output subspace system identification, IFAC-PapersOnLine 53.2 (2020): 933-938, doi.

[8] S. Greś, M. Döhler, P. Andersen, L. Damkilde, L. Mevel, Hankel matrix normalization for robust damage detection, Proceedings of IOMAC, 2019.

[7] S. Greś, M. Döhler, P. Andersen, L. Mevel, Variance computation of MAC and MPC for real-valued mode shapes from the stabilization diagram, Proceedings of IOMAC, 2019.

[6] S. Greś, M. Döhler, P. Andersen, L. Mevel, Variance computation of the Modal Assurance Criterion, Proceedings of ISMA, p. 1-12, 2018.

[5] S. Greś, P. Andersen, C. Hoen, and L. Damkilde, Orthogonal projection-based harmonic signal removal for operational modal analysis, Springer. Conference Proceedings of the Society for Experimental Mechanics Series, 2018, doi.

[4] S. Greś, P. Andersen and L. Damkilde, Operational modal analysis of rotating machinery, Springer. Conference Proceedings of the Society for Experimental Mechanics Series, 2018 doi. 

[3] S. Greś, M.D. Ulriksen, M. Döhler, R.J. Johansen, P. Andersen, L. Damkilde, S.A Nielsen, Statistical methods for damage detection applied to civil structures, Procedia Engineering, Vol. 199, p. 1919-1924, 2017, doi.

[2] S. Greś, P. Andersen, R.J. Johansen, M.D. Ulriksen, L. Damkilde, A comparison of damage detection methods applied to civil engineering structures, Lecture Notes in Civil Engineering, p. 306-316, 2017, doi.

[1] S. Greś, M. Fejerskov, L.B. Ibsen, L. Damkilde, Experimental damping assessment of a full scale offshore Mono Bucket foundation, Proceedings of ISMA, p. 4045-4054, 2016.

Posters