C. Farrar and K. Worden, An introduction to structural health monitoring, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.365, pp.303-315, 1851.

C. Farrar, S. Doebling, and D. Nix, Vibration-based structural damage identification, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Science, vol.359, pp.131-149, 1778.

E. Carden and P. Fanning, Vibration based condition monitoring: a review, Structural Health Monitoring, vol.3, issue.4, pp.355-377, 2004.

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.

J. Brownjohn, Structural health monitoring of civil infrastructure, Philosophical Transactions of the Royal Society of London A: Mathematical, vol.365, pp.589-622, 1851.

K. Worden, G. Manson, and N. Fieller, Damage detection using outlier analysis, Journal of Sound and Vibration, vol.229, issue.3, pp.647-667, 2000.

A. Deraemaeker, E. Reynders, G. De-roeck, and J. Kullaa, Vibration-based structural health monitoring using output-only measurements under changing environment, Mechanical Systems and Signal Processing, vol.22, issue.1, pp.34-56, 2008.

G. Comanducci, F. Magalhães, F. Ubertini, and Á. Cunha, On vibration-based damage detection by multivariate statistical techniques: Application to a long-span arch bridge, Structural Health Monitoring, vol.15, issue.5, pp.505-524, 2016.

J. M. Brownjohn, P. Xia, H. Hao, and Y. Xia, Civil structure condition assessment by FE model updating: methodology and case studies, Finite Elements in Analysis and Design, vol.37, issue.10, pp.761-775, 2001.

M. , Damage identification using inverse methods, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.365, pp.393-410, 1851.

E. Simoen, G. De-roeck, and G. Lombaert, Dealing with uncertainty in model updating for damage assessment: A review, Mechanical Systems and Signal Processing, vol.56, pp.123-149, 2015.

M. Limongelli, E. Chatzi, M. Döhler, G. Lombaert, and E. Reynders, Towards extraction of vibration-based damage indicators, Proc. 8th European Workshop on Structural Health Monitoring, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01344178

D. Bernal, Load vectors for damage localization, Journal of Engineering Mechanics, vol.128, issue.1, pp.7-14, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00824106

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.

L. Marin, M. Döhler, D. Bernal, and L. Mevel, Robust statistical damage localization with stochastic load vectors, Structural Control and Health Monitoring, vol.22, issue.3, pp.557-573, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01063723

M. Bhuyan, M. Döhler, Y. Lecieux, L. Mevel, and F. Schoefs, Statistical damage localization with stochastic load vectors using multiple mode sets, Structural Health Monitoring, vol.16, issue.5, pp.518-535, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01344206

D. Bernal and M. D. Ulriksen, Subspace exclusion zones for damage localization, Mechanical Systems and Signal Processing, vol.114, pp.120-127, 2019.

M. Basseville, L. Mevel, and M. Goursat, Statistical model-based damage detection and localization: subspace-based residuals and damage-tonoise sensitivity ratios, Journal of Sound and Vibration, vol.275, issue.3, pp.769-794, 2004.

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.15, issue.6, pp.857-875, 2008.

A. Benveniste, M. Basseville, and G. Moustakides, The asymptotic local approach to change detection and model validation, IEEE Transactions on Automatic Control, vol.32, issue.7, pp.583-592, 1987.
URL : https://hal.archives-ouvertes.fr/inria-00075990

M. Döhler, L. Mevel, and Q. Zhang, Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis, Annual Reviews in Control, vol.42, pp.244-256, 2016.

M. Basseville, M. Abdelghani, and A. Benveniste, Subspace-based fault detection algorithms for vibration monitoring, Automatica, vol.36, issue.1, pp.101-109, 2000.

E. Balmès, M. Basseville, F. Bourquin, L. Mevel, H. Nasser et al., Merging sensor data from multiple temperature scenarios for vibration-based monitoring of civil structures, Structural Health Monitoring, vol.7, issue.2, pp.129-142, 2008.

M. Döhler and L. Mevel, Subspace-based fault detection robust to changes in the noise covariances, Automatica, vol.49, issue.9, pp.2734-2743, 2013.

M. Döhler, L. Mevel, and F. Hille, Subspace-based damage detection under changes in the ambient excitation statistics, Mechanical Systems and Signal Processing, vol.45, issue.1, pp.207-224, 2014.

M. Döhler, F. Hille, L. Mevel, and W. Rücker, Structural health monitoring with statistical methods during progressive damage test of S101 Bridge, Engineering Structures, vol.69, pp.183-193, 2014.

C. Ventura, P. Andersen, L. Mevel, and M. Döhler, Structural Health Monitoring of the Pitt River Bridge in British Columbia, Proc. 6th World Conference on Structural Control and Monitoring, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01011750

S. Gres, P. Andersen, R. J. Johansen, M. D. Ulriksen, and L. Damkilde, A comparison of damage detection methods applied to civil engineering structures, International Conference on Experimental Vibration Analysis for Civil Engineering Structures, pp.306-316, 2017.

M. Döhler, F. Hille, and L. Mevel, Vibration-based monitoring of civil structures with subspace-based damage detection, Mechatronics for Cultural Heritage and Civil Engineering, pp.307-326, 2018.

R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2012.

C. E. Ventura, J. Lord, M. Turek, A. M. Sereci, D. Radulescu et al., Experimental studies and remote monitoring of IASC-ASCE benchmark test frame, Proc. 21st International Modal Analysis Conference (IMAC), 2003.

M. Bhuyan, E. Viefhues, M. Döhler, Y. Lecieux, L. Mevel et al., Output-only subspace and transfer matrix-based damage localization and quantification, Proc. 7th International Operational Modal Analysis Conference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01522138

J. Juang, Applied system identification, 1994.

A. Benveniste and L. Mevel, Nonstationary consistency of subspace methods, IEEE Transactions on Automatic Control AC, vol.52, issue.6, pp.974-984, 2007.

P. Van-overschee and B. D. Moor, Subspace Identification for Linear Systems: Theory, Implementation, Applications, 1996.

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.

M. Döhler and L. Mevel, Fast multi-order computation of system matrices in subspace-based system identification, Control Engineering Practice, vol.20, issue.9, pp.882-894, 2012.

A. Yan and J. Golinval, Null subspace-based damage detection of structures using vibration measurements, Mechanical Systems and Signal Processing, vol.20, issue.3, pp.611-626, 2006.

S. Gres, M. D. Ulriksen, M. Döhler, R. J. Johansen, P. Andersen et al., Statistical methods for damage detection applied to civil structures, Proc. 10th International Conference on Structural Dynamics (EURODYN), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01619442

E. Parloo, P. Guillaume, and M. Van-overmeire, Damage assessment using mode shape sensitivities, Mechanical Systems and Signal Processing, vol.17, issue.3, pp.499-518, 2003.

E. M. Hernandez, Identification of isolated structural damage from incomplete spectrum information using l1-norm minimization, Mechanical Systems and Signal Processing, vol.46, issue.1, pp.59-69, 2014.

M. Basseville, Information criteria for residual generation and fault detection and isolation, Automatica, vol.33, issue.5, pp.783-803, 1997.
URL : https://hal.archives-ouvertes.fr/inria-00073800

W. Heylen, S. Lammens, and P. Sas, Modal Analysis Theory and Testing, 1998.