B. Peeters and G. De-roeck, Stochastic System Identification for Operational Modal Analysis: A Review, Journal of Dynamic Systems, Measurement, and Control, vol.123, issue.4, pp.659-667, 2001.
DOI : 10.1115/1.1410370

E. Carden and P. Fanning, Vibration Based Condition Monitoring: A Review, Structural Health Monitoring, vol.3, issue.4, pp.355-377, 2004.
DOI : 10.1177/1475921704047500

W. Fan and P. Qiao, Vibration-based Damage Identification Methods: A Review and Comparative Study, Structural Health Monitoring, vol.10, issue.1, pp.83-111, 2011.
DOI : 10.1177/1475921710365419

J. M. Brownjohn, P. Xia, H. Hao, and Y. Xia, Civil structure condition assessment by FE model updating:, Finite Elements in Analysis and Design, vol.37, issue.10, pp.761-775, 2001.
DOI : 10.1016/S0168-874X(00)00071-8

M. Basseville, L. Mevel, and M. Goursat, Statistical model-based damage detection and localization: subspace-based residuals and damage-to-noise sensitivity ratios, Journal of Sound and Vibration, vol.275, issue.3-5, pp.769-794, 2004.
DOI : 10.1016/j.jsv.2003.07.016
URL : https://hal.archives-ouvertes.fr/inria-00071940

E. Balmès, M. Basseville, L. Mevel, H. Nasser, and W. Zhou, Statistical model-based damage localization: A combined subspace-based and substructuring approach, Structural Control and Health Monitoring, vol.44, issue.6, pp.857-875, 2008.
DOI : 10.1155/2007/69136

M. Döhler, L. Mevel, and F. Hille, Efficient Computation of Minmax Tests for Fault Isolation and Their Application to Structural Damage Localization, Proc. 19th IFAC World Congress, 2014.
DOI : 10.3182/20140824-6-ZA-1003.00881

D. Bernal, Load Vectors for Damage Localization, Journal of Engineering Mechanics, vol.128, issue.1, pp.7-14, 2002.
DOI : 10.1061/(ASCE)0733-9399(2002)128:1(7)
URL : https://hal.archives-ouvertes.fr/hal-00824106

Z. Duan, G. Yan, J. Ou, and B. F. Spencer, Damage detection in ambient vibration using proportional flexibility matrix with incomplete measured DOFs, Structural Control and Health Monitoring, vol.1, issue.2, pp.186-196, 2007.
DOI : 10.1002/stc.149

E. Reynders and G. De-roeck, A local flexibility method for vibration-based damage localization and quantification, Journal of Sound and Vibration, vol.329, issue.12, pp.2367-2383, 2010.
DOI : 10.1016/j.jsv.2009.04.026

D. Bernal, Load Vectors for Damage Location in Systems Identified from Operational Loads, Journal of Engineering Mechanics, vol.136, issue.1, pp.31-39, 2010.
DOI : 10.1061/(ASCE)EM.1943-7889.0000067

R. Pintelon, P. Guillaume, and J. Schoukens, Uncertainty calculation in (operational) modal analysis, Mechanical Systems and Signal Processing, vol.21, issue.6, pp.2359-2373, 2007.
DOI : 10.1016/j.ymssp.2006.11.007

E. Reynders, R. Pintelon, and G. De-roeck, Uncertainty bounds on modal parameters obtained from stochastic subspace identification, Mechanical Systems and Signal Processing, vol.22, issue.4, pp.948-969, 2008.
DOI : 10.1016/j.ymssp.2007.10.009

E. Carden and A. Mita, Challenges in developing confidence intervals on modal parameters estimated for large civil infrastructure with stochastic subspace identification, Structural Control and Health Monitoring, vol.35, issue.3, pp.53-78, 2011.
DOI : 10.1002/stc.358

S. Sankararaman and S. Mahadevan, Uncertainty quantification in structural damage diagnosis, Structural Control and Health Monitoring, vol.17, issue.2, pp.807-824, 2011.
DOI : 10.1002/stc.400

S. Sankararaman and S. Mahadevan, Bayesian methodology for diagnosis uncertainty quantification and health monitoring, Structural Control and Health Monitoring, vol.17, issue.2, pp.88-106, 2013.
DOI : 10.1002/stc.476

M. Döhler, L. Marin, D. Bernal, and L. , Statistical decision making for damage localization with stochastic load vectors, Mechanical Systems and Signal Processing, vol.39, issue.1-2, pp.1-2
DOI : 10.1016/j.ymssp.2012.12.011

B. Peeters and G. De-roeck, REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS, Mechanical Systems and Signal Processing, vol.13, issue.6, pp.855-878, 1999.
DOI : 10.1006/mssp.1999.1249

A. Benveniste and L. , Nonstationary Consistency of Subspace Methods, IEEE Transactions on Automatic Control, vol.52, issue.6, pp.974-984, 2007.
DOI : 10.1109/TAC.2007.898970

M. Döhler and L. , Fast multi-order computation of system matrices in subspace-based system identification, Control Engineering Practice, vol.20, issue.9, pp.882-894, 2012.
DOI : 10.1016/j.conengprac.2012.05.005

M. Döhler and L. , Efficient multi-order uncertainty computation for stochastic subspace identification, Mechanical Systems and Signal Processing, vol.38, issue.2, pp.346-366, 2013.
DOI : 10.1016/j.ymssp.2013.01.012

D. Bernal, Flexibility-Based Damage Localization from Stochastic Realization Results, Journal of Engineering Mechanics, vol.132, issue.6, pp.651-658, 2006.
DOI : 10.1061/(ASCE)0733-9399(2006)132:6(651)

D. Bernal, Damage Localization from the Null Space of Changes in the Transfer Matrix, AIAA Journal, vol.45, issue.2, pp.374-381, 2007.
DOI : 10.2514/1.25037

E. Reynders, J. Houbrechts, and G. De-roeck, Fully automated (operational) modal analysis, Mechanical Systems and Signal Processing, vol.29, pp.228-250, 2012.
DOI : 10.1016/j.ymssp.2012.01.007

M. Döhler, X. Lam, and L. , Uncertainty quantification for modal parameters from stochastic subspace identification on multi-setup measurements, Mechanical Systems and Signal Processing, vol.36, issue.2, pp.562-581, 2013.
DOI : 10.1016/j.ymssp.2012.11.011