Efficient multi-order uncertainty computation for stochastic subspace identification

Matrix Computations

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

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

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

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

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

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

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

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

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

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

On the Effect of Intra- and Inter-Node Sampling Variability on Operational Modal Parameters in a Digital MEMS-Based Accelerometer Sensor Network for SHM: A Preliminary Numerical Investigation

Brambilla, M., Chiariotti, P., & Cigada, A. (2025) · Sensors · doi:10.3390/s25165044 · Cited by 5

An indirect data-driven model-updating framework to estimate soil–pile interaction parameters using output-only data

Ioakim, A., Greś, S., Döhler, M., Prendergast, L. J., & Chatzi, E. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.119699 · Cited by 3

Monitoring of sparsely observed structures by time-lagged Bayesian smoothing

Shereena, O. A., Sen, S., & Mevel, L. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113493 · Cited by 3

Automated modal identification of offshore wind turbine structure under mixed harmonic and random excitations

Song, J. X., Wu, Z., Shi, J.-L., Zhou, K., Wang, L.-J., Shu, Z., & Duan, M.-G. (2025) · Structures · doi:10.1016/j.istruc.2025.109706 · Cited by 3

The Influence of Parameter Choice in Operational Modal Analysis: A Case Study

Zabel, V., Magalhães, F., & Bucher, C. G. (2016) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-30249-2_14 · Cited by 3

Modalanalyse von Monitoringdaten eines Sendeturms

Marwitz, S., Zabel, V., & Könke, C. (2017) · Bautechnik · doi:10.1002/bate.201700081 · Cited by 3

Efficient uncertainty computation for modal parameters in stochastic subspace identification

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

On the Probability of Localizing Damages Based on Mode Shape Changes

Mendler, A., Greś, S., Döhler, M., & Keßler, S. (2022) · Lecture notes in civil engineering · doi:10.1007/978-3-031-07254-3_23 · Cited by 3

Towards uncertainty and sensitivity analysis for modal parameters identification during ice–structure interaction

Wang, C., Nord, T. S., Ziemer, G., & Li, G. (2023) · Ocean Engineering · doi:10.1016/j.oceaneng.2023.114224 · Cited by 3

Experimental Vibration Analysis on the Rykkjem Ferry Dock During Ferry Berthing

Siedziako, B., Fenerci, A., & Nord, T. S. (2023) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-031-36663-5_14 · Cited by 3

Automated Uncertainty-Based Clustering and Tracking of Modal Parameters Under Strong Variations

Priou, J., Greś, S., Mendler, A., Perrault, M., Guérineau, L., & Döhler, M. (2024) · Lecture notes in civil engineering · doi:10.1007/978-3-031-61421-7_56 · Cited by 3

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

Embedded subspace-based modal analysis and uncertainty quantification on wireless sensor platform PEGASE

Cam, V. L., Döhler, M., Pen, M. L., Guéguen, I., & Mevel, L. (2016) · HAL · Cited by 3

A digital twin platform for structural health monitoring

Talasila, P., Tcherniak, D., Jensen, A. M. D., Mahato, S., Medom, J. V., Ulriksen, M. D., Abbiati, G., Schörghofer-Queiroz, A., Larsen, P. G., & Damkilde, L. (2026) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1016/j.cacaie.2026.100086 · Cited by 2

Vibration Monitoring of the Rock Formation Above the Hatshepsut Temple

Mendler, A., Erazo, J. D. R., Ismael, M. A., Ezzy, M., Jacobs, B. W., Haberland, C., Krautblatter, M., Helal, H., & Große, C. U. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29649 · Cited by 2

Operational modal analysis with uncertainty quantification for SDDLV-based damage localization

Döhler, M., Marin, L., Mevel, L., & Bernal, D. P. (2015) · MATEC Web of Conferences · doi:10.1051/matecconf/20152002002 · Cited by 2

Variance computation for system matrices and transfer function from input/output subspace system identification

Greś, S., Döhler, M., & Mevel, L. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.861 · Cited by 2

System Identification of a Base-Isolated Bridge by Ambient and Forced Vibration Tests

Özçelik, Ö., & Amaddeo, C. (2017) · Journal of Testing and Evaluation · doi:10.1520/jte20150505 · Cited by 2

Stochastic Subspace-based Damage Detection with Uncertainty in the Reference Null Space

Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2017) · International Workshop on Structural Health Monitoring (IWSHM) · doi:10.12783/shm2017/13963 · Cited by 2

Modal analysis of slow varying non-stationary vibration by model updating with Schur complement

Bui, T.-T., Vu, V.-H., & Liu, Z. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108022 · Cited by 2

Finite element model updating of a ferry dock bridge

Siedziako, B., Nord, T. S., & Fenerci, A. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2647/18/182001 · Cited by 2

Optimal Sensor Placement with Minimal Predicted Posterior Variance

Mendler, A., Marsili, F., Keßler, S., & Große, C. U. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29612 · Cited by 1

Uncertainty propagation and subspace identification of isotropic wind turbines with the PO-MOESP algorithm

Hermes, A., Greś, S., & Riva, R. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113159 · Cited by 1

Structural Health Monitoring of Engineering Structures Using Digital Twins: A Digital Twin Platform Approach

Talasila, P., Tcherniak, D., Jensen, A. M. D., Mahato, S., Schörghofer-Queiroz, A., Ulriksen, M. D., Abbiati, G., Larsen, P. G., & Damkilde, L. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-96110-6_98 · Cited by 1

A two-stage framework for automated operational modal identification using OPTICS-KNN-based clustering

Chen, Y., Fu, W., Luo, Y., Shen, Y., Yang, H., & Wang, S. (2025) · Journal of Zhejiang University. Science A · doi:10.1631/jzus.a2400538 · Cited by 1

Robust online monitoring of aircraft modal parameters using data fusion-based mode tracking

Volkmar, R., Soal, K., Baum, M., & Böswald, M. (2026) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2026.114171 · Cited by 1

Confidence interval estimation for electromechanical mode parameters obtained from stochastic subspace identification

Jia, Y., He, Z. Y., & Liao, K. (2016) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.22366 · Cited by 1

Automatic Bayesian modal identification method for structures based on blind source separation

Su, L. Y., Zhang, J., Tang, Y.-N., & Huang, X. (2021) · Australian Journal of Structural Engineering · doi:10.1080/13287982.2021.1970700 · Cited by 1

Periodic System Approximation for Operational Modal Analysis of Operating Wind Turbine

Cadoret, A., Denimal, E., Leroy, J.-M., Pfister, J.-L., & Mevel, L. (2022) · Lecture notes in civil engineering · doi:10.1007/978-3-031-07254-3_16 · Cited by 1

A Data-Driven System Identification Method for Random Eigenvalue Problem Using Synchrosqueezed Energy and Phase Portrait Analysis

Mahato, S., Chakraborty, A., & Griškevičius, P. (2023) · Sensors · doi:10.3390/s23073421 · Cited by 1

Model Order Selection for Uncertainty Quantification in Subspace-Based OMA of Vestas V27 Blade

Greś, S., & Döhler, M. (2023) · Lecture notes in civil engineering · doi:10.1007/978-3-031-39117-0_5 · Cited by 1

Sensor placement optimal for the precision of modal parameter estimation with subspace methods

Greś, S., Döhler, M., Dertimanis, V. K., & Chatzi, E. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2647/21/212009 · Cited by 1

Uncertainty bound quantification for structural modal parameters via the random decrement technique

Xu, K., & Li, Q. S. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.112821 · Cited by 1

Detecting Changes in Boundary Conditions based on Sensitivity-based Statistical Tests

Mendler, A., (INRIA), I. N. D. R. E. I. E. E. A., Döhler, M., & Hille, F. (2022) · e-Journal of Nondestructive Testing · doi:10.58286/27311 · Cited by 1

Hybrid structural health monitoring using data-driven modal analysis and model-based Bayesian inference.

Zeng, J. (2021) · doi:10.18297/etd/3791 · Cited by 1

MPUQ-b: Bootstrapping Based Modal Parameter Uncertainty Quantification—Methodology and Application

Chauhan, S. (2017) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-54858-6_23

Discussion of using SSI-COV, refined FDD and multivariate AR model for operational modal analysis

Hsueh, W., Loh, C., & Kuo, T.-J. (2018) · Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems · doi:10.1117/12.2295877

Statistical Vibration-based Damage Localization on Saint-Nazaire Bridge Mock-up

Bhuyan, D. H., Lecieux, Y., Thomas, J., Lupi, F., Schoefs, F., Döhler, M., & Mevel, L. (2018) · Report · doi:10.2749/nantes.2018.s6-71

An algorithm for damage detection and localization Usibg output-only response for civil engineering structures subjected to seismic excitations

Frigui, F. O., Faye, J.-P., Martín, C., Dalverny, O., Pérès, F., & Judenherc, S. (2017) · Open Archive Toulouse Archive Ouverte (University of Toulouse)

Effects of structural rehabilitation on modal parameters of the Marlo Bridge

Siedziako, B., Nord, T. S., & Fenerci, A. (2023) · CRC Press eBooks · doi:10.1201/9781003323020-450

SEVEN YEARS OF CONTINUOUS DYNAMIC MONITORING OF BAIXO SABOR DAM

Pereira, S., Magalhães, F., Gomes, J. P., Cunha, Á. A. M. F., & de Lemos, J. V. (2023) · COMPDYN Proceedings · doi:10.7712/120123.10669.20790

Modal-Based Anisotropy Early Warning in Wind Turbine Rotor

Cadoret, A., Denimal, E., Leroy, J.-M., Pfister, J.-L., & Mevel, L. (2023) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.10.529

On Improving the Efficiency of Bayesian Stochastic Subspace Identification

O’Connell, B. J., & Rogers, T. J. (2024) · Lecture notes in civil engineering · doi:10.1007/978-3-031-61421-7_59

Predicting the Dynamic Behaviour of a Concrete Dam using Statistical and Machine Learning Models

Pereira, S., Mata, J., Magalhães, F., Gomes, J. P., & Cunha, Á. A. M. F. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29856

Automated modal parameter tracking with neural network based normalization of environmental perturbations

Eiffel, U. G., Priou, J., Greś, S., Sercel, Perrault, M., Sercel, Guérineau, L., Sercel, Desbazeille, M., Eiffel, U. G., et al. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29659

Quantifying Uncertainties in Damping Estimates from Operational Modal Analysis of a Tall Modular BuildingPreprint

Brewick, P. T., Hickey, J., LaFever, J., Moore, H., Fitzgerald, B., & Broderick, B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5400400

Uncertainty Quantification in Stochastic Subspace Identification Using a Simulation Method with DBSCAN-Based Outlier Detection

Wang, Y., Wang, J., Hua, X., Niu, H., & Feng, Z. (2025) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.rueng-1658

Damage Localization Using a Statistical Test on Residuals from the SDDLV Approach

Marin, L., Döhler, M., Bernal, D. P., & Mevel, L. (2013) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-1-4614-6564-5_15

Bayesian model updating of full-scale UHV transmission towers from field measurements

Tan, Z.-X., Wu, S.-Y., Fu, X., & Li, H.-N. (2026) · Structures · doi:10.1016/j.istruc.2026.111180 · Cited by 1

Signal-Based Dynamic Identification of Composite Steel–Concrete Bridges Using Short-Duration Records

Ferrara, M., Bertagnoli, G., Imperiale, A., & Masera, D. (2026) · Infrastructures · doi:10.3390/infrastructures11020050

Bayesian framework for distinguishing single from dual structural modes in two closely spaced spectral peaksPreprint

Fu, Z., Lam, H., Sun, Q., Wei, S., Zhu, Y., Zhang, C., Mingrui, Z. H. U., & Su, Y. H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6207156

Preliminary structural health monitoring results of a hybrid base-isolated building in Camerino, Italy

Morici, M., Principi, L., Gioiella, L., Micozzi, F., Zona, A., & Dall’Asta, A. (2026) · Procedia Structural Integrity · doi:10.1016/j.prostr.2025.12.213

Evaluation of dynamic characteristics of high-rise buildings with or without tuned liquid dampers under typhoon conditions

Hu, S., Sun, M., & Li, Y. (2026) · Measurement · doi:10.1016/j.measurement.2026.121127

Statistical transfer matrix-based damage localization and quantification for civil structures

Bhuyan, D. H. (2017) · doi:10.70675/581d2bfazc836z4028zac1cz84c22957d481

Subspace-based damage detection in engineering structures considering reference uncertainties and temperature effects

Viefhues, E. (2021) · doi:10.70675/b861f544z5b41z4c6fza470zc73a6f489889

Methods for robust and efficient vision-based operational modal analysis

Luo, Z. (2024) · doi:10.70675/97133ef0z9cf9z4055z94f1zfbf881a71ad5

Non-Contact Vibration Measurement of a Cantilever Beam Using Fused DIC and COV-SSI Methodology

Zhang, Y., Wang, H., Wu, C., Ma, R., & Liao, M. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-7322-6_34

Long-Term Tower Dynamic Tracking of 4.2MW Turbines from the WiValdi Research Wind Farm: First Results

Liesecke, L., Jonscher, C., Grießmann, T., & Rolfes, R. (2026) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3224/6/062013

Uncertainty Quantification of Data-Driven Stochastic Subspace Identification Based on Dynamic Programming

Hu, Z., Xu, H., Yang, Q., & Kong, F. (2026) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.rueng-1911

Local polynomial operational modal analysis (LP-OMA)

Parol, J., Husain, R., AlFoudari, A., AlSanad, S. A., & Al-Yaqoub, T. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.112590

Uncertainty-based mode selection for closely spaced modes in operational modal analysis of a wind turbine during assembly

Liesecke, L., Jonscher, C., Hofmeister, B., Grießmann, T., Govers, Y., & Rolfes, R. (2026) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-026-01104-2

Acoustic dynamic modal analysis through Bayesian inference with Hamiltonian Monte Carlo method

Shi, Y., Feng, D., Yu, L., Liu, Y., & Li, M. (2026) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2026.114789

Field investigation of structural responses of a supertall building during Super Typhoon Hagazah via hybrid measurements

Sun, M., Deng, S., Tang, Z., Li, Q. S., & Huang, S. (2026) · Journal of Building Engineering · doi:10.1016/j.jobe.2026.117288

Parameter Effects in Stochastic Subspace Identification: A Quality Assurance Framework

Nichani, K., Uhlig, S., Colson, B., Hettwer, K., Beering, C., & Knoth, S. (2026) · Procedia Structural Integrity · doi:10.1016/j.prostr.2026.08.067

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

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

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

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

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