Efficient multi-order uncertainty computation for stochastic subspace identification

Matrix Computations

Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505 · see citing works

Subspace Identification for Linear Systems

Overschee, P. V., & Moor, B. D. (1996) · Springer eBooks · doi:10.1007/978-1-4613-0465-4 · Cited by 2,593 · see citing works

Subspace identification for linear systems: theory, implementation, applications

Overschee, P. V., & Moor, B. L. R. D. (1996) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,271 · see citing works

Kronecker products and matrix calculus in system theory

Brewer, J. (1978) · IEEE Transactions on Circuits and Systems · doi:10.1109/tcs.1978.1084534 · Cited by 1,920 · see citing works

REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS

Peeters, B., & Roeck, G. D. (1999) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1999.1249 · Cited by 1,533 · see citing works

Stochastic System Identification for Operational Modal Analysis: A Review

Peeters, B., & Roeck, G. D. (2001) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.1410370 · Cited by 1,003 · see citing works

Uncertainty bounds on modal parameters obtained from stochastic subspace identification

Reynders, E., Pintelon, R., & De Roeck, G. (2008) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.10.009 · Cited by 454 · see citing works

MODAL TESTING AND ANALYSIS OF STRUCTURES UNDER OPERATIONAL CONDITIONS: INDUSTRIAL APPLICATIONS

HERMANS, L., & der Auweraer, H. D. V. (1999) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1998.1211 · Cited by 382 · see citing works

Ambient vibration re-testing and operational modal analysis of the Humber Bridge

Brownjohn, J., Magalhães, F., Caetano, E., & Cunha, Á. A. M. F. (2010) · Engineering Structures · doi:10.1016/j.engstruct.2010.02.034 · Cited by 320 · see citing works

Uncertainty calculation in (operational) modal analysis

Pintelon, R., Guillaume, P., & Schoukens, J. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.11.007 · Cited by 169 · see citing works

DESCRIPTION OF Z24 BENCHMARK

Maeck, J., & Roeck, G. D. (2003) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.2002.1548 · Cited by 168 · see citing works

Output-Only Subspace-Based Structural Identification: From Theory to Industrial Testing Practice1

Basseville, M., Albert Benveniste, A., Goursat, M., Hermans, L., Mevel, L., & der Auweraer, H. D. V. (2001) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.1410919 · Cited by 128 · see citing works

Single sample modal identification of a nonstationary stochastic process

Benveniste, A., & Fuchs, J.-J. (1985) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1985.1103787 · Cited by 106 · see citing works

Fast multi-order computation of system matrices in subspace-based system identification

Döhler, M., & Mevel, L. (2012) · Control Engineering Practice · doi:10.1016/j.conengprac.2012.05.005 · Cited by 75 · see citing works

Automation of the stabilization diagrams for subspace based system identification

Bakır, P. G. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.04.021 · Cited by 72 · see citing works

Nonstationary Consistency of Subspace Methods

Benveniste, A., & Mevel, L. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.898970 · Cited by 59 · see citing works

Input/output versus output-only data processing for structural identification—Application to in-flight data analysis

Mevel, L., Albert Benveniste, A., Basseville, M., Goursat, M., Peeters, B., der Auweraer, H. D. V., & Vecchio, A. (2006) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2006.01.039 · Cited by 51 · see citing works

STOCHASTIC SUBSPACE-BASED STRUCTURAL IDENTIFICATION AND DAMAGE DETECTION —APPLICATION TO THE STEEL-QUAKE BENCHMARK

Mevel, L., Basseville, M., & Goursat, M. (2003) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.2002.1544 · Cited by 37 · see citing works

In-Flight Vibration Monitoring of Aeronautical Structures

Basseville, M., Albert Benveniste, A., Goursat, M., & Meve, L. (2007) · IEEE Control Systems · doi:10.1109/mcs.2007.904652 · Cited by 36 · see citing works

Challenges in developing confidence intervals on modal parameters estimated for large civil infrastructure with stochastic subspace identification

Carden, E. P., & Mita, A. (2009) · Structural Control and Health Monitoring · doi:10.1002/stc.358 · Cited by 35 · see citing works

Robust Subspace Based Fault Detection⋆

Döhler, M., & Mevel, L. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.00842 · Cited by 26 · see citing works

Subspace-based system identification and fault detection: Algorithms for large systems and application to structural vibration analysisPreprint

Döhler, M. (2011) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 8 · see citing works

Uncertainty quantification in operational modal analysis with stochastic subspace identification: Validation and applications

Reynders, E. P. B., Maes, K., Lombaert, G., & Roeck, G. D. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.04.018 · Cited by 211 · see citing works

Structural health monitoring with statistical methods during progressive damage test of S101 Bridge

Döhler, M., Hille, F., Mevel, L., & Rücker, W. (2014) · Engineering Structures · doi:10.1016/j.engstruct.2014.03.010 · Cited by 156 · see citing works

Subspace-based damage detection under changes in the ambient excitation statistics

Döhler, M., Mevel, L., & Hille, F. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.10.023 · Cited by 101 · see citing works

Variance estimation of modal parameters from output-only and input/output subspace-based system identification

Mellinger, P., Döhler, M., & Mevel, L. (2016) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2016.05.037 · Cited by 97 · see citing works

Uncertainty quantification in data-driven stochastic subspace identification

Reynders, E. P. B. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107338 · Cited by 92 · see citing works

Vibration-based damage detection of a concrete arch dam

Pereira, S., Magalhães, F., Gomes, J. P., Cunha, Á. A. M. F., & de Lemos, J. V. (2021) · Engineering Structures · doi:10.1016/j.engstruct.2021.112032 · Cited by 93 · see citing works

Uncertainty quantification of the Modal Assurance Criterion in operational modal analysis

Greś, S., Döhler, M., & Mevel, L. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107457 · Cited by 87 · see citing works

A three-stage automated modal identification framework for bridge parameters based on frequency uncertainty and density clustering

He, Y., Yang, J. P., & Li, Y. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.113891 · Cited by 78 · see citing works

Fully automated precise operational modal identification

He, M., Liang, P., Li, J., Zhang, Y., & Liu, Y. (2021) · Engineering Structures · doi:10.1016/j.engstruct.2021.111988 · Cited by 69 · see citing works

The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization

Pereira, S., Reynders, E. P. B., Magalhães, F., Cunha, Á. A. M. F., & Gomes, J. P. (2020) · Engineering Structures · doi:10.1016/j.engstruct.2020.111208 · Cited by 67 · see citing works

Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation

Greś, S., Döhler, M., Andersen, P., & Mevel, L. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.106996 · Cited by 60 · see citing works

Modal parameter identification of flexible spacecraft using the covariance-driven stochastic subspace identification (SSI-COV) method

Xie, Y., Liu, P., & Cai, G. (2016) · Acta Mechanica Sinica · doi:10.1007/s10409-016-0579-x · Cited by 42 · see citing works

Application of the Subspace-Based Methods in Health Monitoring of Civil Structures: A Systematic Review and Meta-Analysis

Shokravi, H., Shokravi, H., Bakhary, N., Heidarrezaei, M., Koloor, S. S. R., & Petrů, M. (2020) · Applied Sciences · doi:10.3390/app10103607 · Cited by 41 · see citing works

Numerical and experimental analysis of uncertainty on modal parameters estimated with the stochastic subspace method

Tondreau, G., & Deraemaeker, A. (2014) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2014.04.039 · Cited by 40 · see citing works

Wind load estimation and virtual sensing in long-span suspension bridges using physics-informed Gaussian process latent force models

Petersen, Ø. W., Øiseth, O. A., & Lourens, E. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108742 · Cited by 37 · see citing works

Automated operational modal analysis using variational Gaussian mixture model

Zeng, J., & Hu, Z. Y. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.115139 · Cited by 34 · see citing works

Uncertainty quantification for the Modal Phase Collinearity of complex mode shapes

Greś, S., Döhler, M., Andersen, P., & Mevel, L. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107436 · Cited by 33 · see citing works

An analytical investigation into the propagation properties of uncertainty in a two-stage fast Bayesian spectral density approach for ambient modal analysis

Yan, W., & Katafygiotis, L. S. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.08.047 · Cited by 32 · see citing works

A two-stage framework for automated operational modal identification

Zeng, J., & Kim, Y. H. (2021) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2021.1919151 · Cited by 32 · see citing works

Statistical decision making for damage localization with stochastic load vectors

Döhler, M., Marin, L., Bernal, D. P., & Mevel, L. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2012.12.011 · Cited by 31 · see citing works

Modal identification of concrete dams under natural excitation

Pereira, S., Magalhães, F., Cunha, Á. A. M. F., Moutinho, C., & Pacheco, J. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-020-00462-9 · Cited by 31 · see citing works

Uncertainty quantification in Bayesian operational modal analysis with multiple modes and multiple setups

Zhu, Z., & Au, S. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108205 · Cited by 30 · see citing works

Stabilization diagrams to distinguish physical modes and spurious modes for structural parameter identification

Wu, C., Liu, H., Qin, X., & Wang, J. (2017) · Journal of Vibroengineering · doi:10.21595/jve.2017.17629 · Cited by 28 · see citing works

Robust statistical damage localization with stochastic load vectors

Marin, L., Döhler, M., Bernal, D. P., & Mevel, L. (2014) · Structural Control and Health Monitoring · doi:10.1002/stc.1686 · Cited by 27 · see citing works

Development of a structural identification methodology with uncertainty quantification through the SSI and bootstrap techniques

Silva, E. M. L. E., Magluta, C., Roitman, N., & Filho, L. A. C. M. D. A. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108290 · Cited by 27 · see citing works

Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind turbine blade

Greś, S., Riva, R., Yeniceli, S. C., Andersen, P., & Łuczak, M. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114001 · Cited by 27 · see citing works

An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly

Yan, W., Papadimitriou, C., Katafygiotis, L. S., & Chronopoulos, D. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106376 · Cited by 26 · see citing works

Automatic operational modal analysis of structures based on image recognition of stabilization diagrams with uncertainty quantification

Su, L. Y., Zhang, J.-Q., Huang, X., & LaFave, J. M. (2020) · Multidimensional Systems and Signal Processing · doi:10.1007/s11045-020-00741-0 · Cited by 25 · see citing works

Automatic identification of modal parameters for structures based on an uncertainty diagram and a convolutional neural network

Su, L. Y., Huang, X. Y., Song, M.-L., & LaFave, J. M. (2020) · Structures · doi:10.1016/j.istruc.2020.08.077 · Cited by 26 · see citing works

A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

Shokravi, H., Shokravi, H., Bakhary, N., Koloor, S. S. R., & Petrů, M. (2020) · Applied Sciences · doi:10.3390/app10093132 · Cited by 26 · see citing works

Damage Assessment and Modeling of the Five‐Tiered Pagoda‐Style Nyatapola Temple

Wood, R. L., Mohammadi, M. E., Barbosa, A. R., Abdulrahman, L., Soti, R., Kawan, C. K., Shakya, M., & Olsen, M. J. (2017) · Earthquake Spectra · doi:10.1193/121516eqs235m · Cited by 25 · see citing works

Subspace-based modal identification and uncertainty quantification from video image flows

Merainani, B., Xiong, B., Baltazart, V., Döhler, M., Dumoulin, J., & Zhang, Q. (2023) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2023.117957 · Cited by 24 · see citing works

Subspace-based noise covariance estimation for Kalman filter in virtual sensing applications

Greś, S., Döhler, M., Dertimanis, V. K., & Chatzi, E. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111772 · Cited by 24 · see citing works

Uncertainty quantification of input matrices and transfer function in input/output subspace system identification

Greś, S., Döhler, M., Jacobsen, N.-J., & Mevel, L. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108581 · Cited by 24 · see citing works

Influence of system changes on closely spaced modes of a large-scale concrete tower for the application to structural health monitoring

Jonscher, C., Liesecke, L., Penner, N., Hofmeister, B., Grießmann, T., & Rolfes, R. (2023) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-023-00693-6 · Cited by 24 · see citing works

Modal identification of high-rise buildings by combined scheme of improved empirical wavelet transform and Hilbert transform techniques

Wei, P., Li, Q. S., Sun, M., & Huang, J. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.105443 · Cited by 23 · see citing works

Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data

Kjeld, J. G., Avendaño-Valencia, L. D., & Vestermark, J. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2022.109934 · Cited by 23 · see citing works

A machine learning-based stochastic subspace approach for operational modal analysis of civil structures

Zhou, K., Xie, D.-L., Xu, K., Zhi, L., Hu, F., & Shu, Z. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.107187 · Cited by 22 · see citing works

Stochastic subspace identification of modal parameters during ice–structure interaction

Nord, T. S., Petersen, Ø. W., & Hendrikse, H. (2019) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0030 · Cited by 21 · see citing works

Bayesian operational modal analysis of structures with tuned mass damper

Wang, X., Zhu, Z., & Au, S. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2022.109511 · Cited by 21 · see citing works

Long-term continuous dynamic monitoring of an eight-story CLT building

Aloisio, A., Pasca, D. P., Kurent, B., & Tomasi, R. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.112094 · Cited by 20 · see citing works

Prior-knowledge-based subspace identification for batch processes

Hou, J., Chen, F., Li, P., & Zhu, Z. (2019) · Journal of Process Control · doi:10.1016/j.jprocont.2019.07.002 · Cited by 18 · see citing works

Minimum detectable changes based on linear Bayesian filters

Marsili, F., Mendler, A., Landi, F., & Keßler, S. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2023.110656 · Cited by 17 · see citing works

Variance estimation of modal parameters from the poly-reference least-squares complex frequency-domain algorithm

Steffensen, M. T., Döhler, M., Tcherniak, D., & Thomsen, J. J. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111905 · Cited by 16 · see citing works

Vortex-induced force and multimodal state estimation in long-span bridges: A physics-informed exponential-periodic latent force model approach

Xu, S., Petersen, Ø. W., Fang, G., Øiseth, O. A., & Ge, Y. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.112258 · Cited by 16 · see citing works

Statistical subspace-based damage detection with estimated reference

Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108241 · Cited by 16 · see citing works

Identification and uncertainty quantification of structural flexibility for reliability analysis

Li, P., & Zhang, J. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108104 · Cited by 15 · see citing works

In situ seismic testing for experimental modal analysis of civil structures

Bertero, S., Tarazaga, P. A., & Sarlo, R. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114773 · Cited by 15 · see citing works

Predictive probability of detection curves based on data from undamaged structures

Mendler, A., Döhler, M., & Große, C. U. (2023) · Structural Health Monitoring · doi:10.1177/14759217231193088 · Cited by 15 · see citing works

Stochastic Subspace Identification-Based Automated Operational Modal Analysis Considering Modal Uncertainty

Cho, K., & Cho, J.-R. (2023) · Applied Sciences · doi:10.3390/app132212274 · Cited by 17 · see citing works

Linear time periodic system approximation based on Floquet and Fourier transformations for operational modal analysis and damage detection of wind turbine

Cadoret, A., Denimal, E., Leroy, J.-M., Pfister, J.-L., & Mevel, L. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111157 · Cited by 15 · see citing works

Engineering performance of two analytical methodologies for estimating modal parameter uncertainty for structures

Su, L. Y., Huang, X., Zhang, J., & LaFave, J. M. (2021) · Structural Control and Health Monitoring · doi:10.1002/stc.2752 · Cited by 14 · see citing works

Statistical model-based optimization for damage extent quantification

Greś, S., Döhler, M., & Mevel, L. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.107894 · Cited by 14 · see citing works

Vibration-based model updating of a timber frame structure

Leyder, C., Chatzi, E., & Frangi, A. (2017) · Procedia Engineering · doi:10.1016/j.proeng.2017.09.141 · Cited by 14 · see citing works

Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System

Gao, R., Xia, Y., Wang, G., Yang, L., & Zhan, Y. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3316287 · Cited by 13 · see citing works

An improved stochastic subspace modal identification method considering uncertainty quantification

Zhou, K., Zhi, L., Wang, J., Hong, X., Xu, K., & Shu, Z. (2023) · Structures · doi:10.1016/j.istruc.2023.03.101 · Cited by 13 · see citing works

Low-rank approximation of Hankel matrices in denoising applications for statistical damage diagnosis of wind turbine blades

Greś, S., Tatsis, K., Dertimanis, V. K., & Chatzi, E. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2023.110391 · Cited by 13 · see citing works

Dynamic Modal Identification of a Long-Span Suspension Bridge Using Measured Acceleration Data during a Storm

Çetindemir, O., Zülfikar, A. C., & Apaydın, N. M. (2023) · Journal of Structural Engineering · doi:10.1061/jsendh.steng-11982 · Cited by 13 · see citing works

A bootstrap-based stochastic subspace method for modal parameter identification and uncertainty quantification of high-rise buildings

Xu, K., Li, Q. S., Zhou, K., & Han, X. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.109007 · Cited by 13 · see citing works

Automated Modal Identification Based on Improved Clustering Method

Wu, G., He, M., Liang, P., Chunsheng, Y., & Xu, Y. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/5698609 · Cited by 13 · see citing works

Uncertainty quantification of structural flexibility identified from input–output measurement data for reliability analysis

Li, P., Zhao, T., Zhang, J., Wei, J., Feng, M. Q., Feng, D., & Li, S. (2022) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12888 · Cited by 12 · see citing works

Automated identification and long-term tracking of modal parameters for a super high-rise building

Fu, S., Wu, J., Zhang, Q., & Xie, B. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.110141 · Cited by 12 · see citing works

Dynamic performance of a supertall building with an active tuned mass damper system during Super Typhoon Saola

Xu, K., Li, Q. S., Zhou, K., & Han, X. (2024) · Engineering Structures · doi:10.1016/j.engstruct.2024.118778 · Cited by 12 · see citing works

Modal Identification of 38 Supertall Buildings and Establishment of Predictive Models

Xu, K., Li, Q. S., Zhou, K., Han, X., & Wan, J.-W. (2023) · Journal of Structural Engineering · doi:10.1061/jsendh.steng-11907 · Cited by 12 · see citing works

Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram

He, M., Liang, P., Liu, J., & Liang, Z. (2024) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2023.05.007 · Cited by 11 · see citing works

A Bayesian approach to global mode shape identification using modal assurance criterion-based discrepancy model

Hızal, Ç. (2023) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2023.117774 · Cited by 11 · see citing works

Automated Operational Modal Analysis Based on DBSCAN Clustering

Chunsheng, Y., & Zhao, X. (2020) · International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) · doi:10.1109/icitbs49701.2020.00190 · Cited by 10 · see citing works

Variance analysis for model updating with a finite element based subspace fitting approach

Gautier, G., Mevel, L., Mencik, J., Serra, R., & Döhler, M. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.01.006 · Cited by 10 · see citing works

Influence of Environmental Conditions and Damage on Closely Spaced Modes

Jonscher, C., Hofmeister, B., Grießmann, T., & Rolfes, R. (2022) · Lecture notes in civil engineering · doi:10.1007/978-3-031-07322-9_91 · Cited by 10 · see citing works

Identification Uncertainties of Bending Modes of an Onshore Wind Turbine for Vibration‐Based Monitoring

Jonscher, C., Möller, S. K., Liesecke, L., Schuster, D., Hofmeister, B., Grießmann, T., & Rolfes, R. (2024) · Structural Control and Health Monitoring · doi:10.1155/2024/3280697 · Cited by 10 · see citing works

Statistical damage localization with stochastic load vectors using multiple mode sets

Bhuyan, M., Döhler, M., Lecieux, Y., Mevel, L., & Schoefs, F. (2017) · Structural Health Monitoring · doi:10.1177/1475921717714447 · Cited by 10 · see citing works

Effect of environmental factors on modal identification of a hydroelectric dam’s hollow-gravity concrete block

A., Y. V. A., Araújo, I. G., Villalba-Morales, J. D., & Aracayo, L. A. S. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00828-3 · Cited by 10 · see citing works

Orthogonal projection based subspace identification against colored noise

Hou, J., Liu, T., & Chen, F. (2017) · Control Theory and Technology · doi:10.1007/s11768-017-6003-7 · Cited by 9 · see citing works

Computer-Aided Structural Diagnosis of Bridges Using Combinations of Static and Dynamic Tests: A Preliminary Investigation

Garbowski, T., Cornaggia, A., Zaborowicz, M., & Sowa, S. (2023) · Materials · doi:10.3390/ma16247512 · Cited by 9 · see citing works

Python open-source signal processing and modeling/simulation for scientific research in structural dynamics—A review

Slavič, J., Zaletelj, K., Gorjup, D., Pasca, D. P., Aloisio, A., Kvåle, K. A., Frøseth, G. T., Weijtjens, W., Mujtaba, A., Česnik, M., et al. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113465 · Cited by 8 · see citing works

Linear Time Invariant Approximation for Subspace Identification of Linear Periodic Systems Applied to Wind Turbines

Cadoret, A., Denimal, E., Leroy, J.-M., Pfister, J.-L., & Mevel, L. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.07.104 · Cited by 8 · see citing works

An Automated Procedure for Continuous Dynamic Monitoring of Structures: Theory and Validation

Ardila, Y. V., Araújo, I. G., & Villalba-Morales, J. D. (2023) · Journal of Vibration Engineering & Technologies · doi:10.1007/s42417-023-01121-1 · Cited by 8 · see citing works

A hybrid output-only scheme for precise modal estimation and uncertainty quantification of large-scale structure through vibration-based measurements

Sun, M., Li, Q. S., & Huang, S. (2024) · Structures · doi:10.1016/j.istruc.2024.105898 · Cited by 7 · see citing works

Automated modal identification of offshore wind turbines via an uncertainty-quantified stochastic subspace method

Song, J. X., Zhou, K., Shu, Z., Cai, X., & Duan, M.-G. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.123152 · Cited by 7 · see citing works

Comparison of Simultaneous and Multi-setup Measurement Strategies in Operational Modal Analysis

Orlowitz, E., Andersen, P., & Brandt, A. (2015) · University of Southern Denmark Research Portal (University of Southern Denmark) · Cited by 7 · see citing works

Fast computation of uncertainty lower bounds for state-space model-based operational modal analysis

Shi, Y., Li, B., & Au, S. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108759 · Cited by 7 · see citing works

Automated intelligent modal identification and tracking for high-rise buildings without prior information

Zhou, K., Shi, J.-L., Fu, J., Song, J., Duan, M.-G., & He, Y. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.113056 · Cited by 7 · see citing works

Asymptotic analysis of subspace-based data-driven residual for fault detection with uncertain reference

Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.09.610 · Cited by 6 · see citing works

Monitor wind characteristics and wind‐induced responses of a skyscraper during two typhoons

Cao, J., Xiong, H., & Qin, X. (2022) · The Structural Design of Tall and Special Buildings · doi:10.1002/tal.1975 · Cited by 6 · see citing works

Modal parameter estimation of turbomachinery in operation taking into account friction damping

Amer, M., Ventura, C. E., Maroldt, N., Seume, J. R., & Wallaschek, J. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111414 · Cited by 5 · see citing works

Uncertainty in frequency response function estimates in experimental modal analysis

Steffensen, M. T., Tcherniak, D., & Thomsen, J. J. (2025) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2025.119168 · Cited by 5 · see citing works

Estimation of modal parameters and their uncertainty bounds from subspace-based system identification

Döhler, M., Hille, F., Mevel, L., & Rücker, W. (2013) · HAL · Cited by 5 · see citing works

Spectral anomaly detection for identifying prestress loss in prestressed concrete bridges: The PSC-A16 case study

Mariniello, G., Pastore, T., Asprone, D., & Cosenza, E. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.112506 · Cited by 5 · see citing works

Uncertainty quantification of modal characteristics identified from frequency-domain stochastic subspace identification

Reynders, E. P. B., & Maes, K. (2017) · Procedia Engineering · doi:10.1016/j.proeng.2017.09.231 · Cited by 5 · see citing works

Experimental investigation of structural modal identification using pixels intensity and motion signals from video-based imaging devices: performance, comparison and analysis

Merainani, B., Xiong, B., Baltazart, V., Dumoulin, J., Döhler, M., & Zhang, Q. (2021) · doi:10.1117/12.2595019 · Cited by 5 · see citing works

pyOMA2: A Python module for conducting operational modal analysis

Pasca, D. P., & Margoni, D. F. (2025) · The Journal of Open Source Software · doi:10.21105/joss.07656 · Cited by 4 · see citing works

Efficient and automatic mode separation based on compact-bandwidth regularization and spectral-energy metrics with application to long-time continuous monitoring of bridge structures

Zhu, J., Wang, L., Yang, F. C., & Lu, Z.-R. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.120910 · Cited by 4 · see citing works

Robust Automated Operational Modal Analysis Framework Based on Enhanced Stabilization Diagram and Hierarchical Density Estimation

Jiang, K., Jia, X., Han, Q., & Du, X. (2025) · Structural Control and Health Monitoring · doi:10.1155/stc/9464798 · Cited by 4 · see citing works

Sensitivity Analysis and Optimization of User-Defined Parameters in Covariance-Driven Stochastic Subspace Identification

Liu, W., Yang, N., Liu, B., Feng, H., Wang, B., Du, K., & Abruzzese, D. (2025) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455426502020 · Cited by 4 · see citing works

A new perspective on Bayesian operational modal analysis

O’Connell, B. J., Champneys, M. D., & Rogers, T. J. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.112949 · Cited by 4 · see citing works

Multi-Order Covariance Computation for Estimates in Stochastic Subspace Identification Using QR Decompositions

Döhler, M., Lam, X.-B., & Mevel, L. (2014) · IFAC Proceedings Volumes · doi:10.3182/20140824-6-za-1003.00883 · Cited by 4 · see citing works

Mast Arm Monitoring via Traffic Camera Footage: A Pixel-Based Modal Analysis Approach

Soleimani‐Babakamali, M. H., Moghadam, A., Sarlo, R., Hebdon, M. H., & Harvey, P. S. (2021) · Experimental Techniques · doi:10.1007/s40799-020-00422-4 · Cited by 4 · see citing works

Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method

A., Y. V. A., Araújo, I. G., Villalba-Morales, J. D., & Aracayo, L. A. S. (2021) · Latin American Journal of Solids and Structures · doi:10.1590/1679-78256725 · Cited by 4 · see citing works

Modal parameter identification for a roof overflow powerhouse under ambient excitation

Zhang, Y., Lian, J., & Liu, F. (2015) · Water Science and Engineering · doi:10.1016/j.wse.2015.12.004 · Cited by 4 · see citing works

MPUQ-b: Bootstrapping Based Modal Parameter Uncertainty Quantification—Fundamental Principles

Chauhan, S., & Ahmed, S. (2017) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-54858-6_22 · Cited by 4 · see citing works

Uncertainty calculation for modal parameters used with stochastic subspace identification: an application to a bridge structure

Hsu, W.-T., Loh, C., & Chao, S. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2083919 · Cited by 3 · see citing works

ESTIMATION OF MODAL PARAMETER UNCERTAINTIES USING STOCHASTIC SUBSPACE ALGORITHMS

Abdelghani, M., & Friswell, M. I. (2008)

Efficient uncertainty computation for modal parameters in stochastic subspace identification

Döhler, M., Mevel, L., & Andersen, P. (2012) · HAL · Cited by 3 · see citing works

An improved stochastic subspace identification for operational modal analysis

Zhang, G., Tang, B., & Tang, G. (2012) · Measurement · doi:10.1016/j.measurement.2012.01.012 · Cited by 93 · see citing works

Fast uncertainty computation for multi-order subspace-based method with QR decompositions

Lam, X.-B. (2020) · Technical Education Science/Giáo dục Kỹ thuật