Vibration-based Damage Identification Methods: A Review and Comparative Study, Structural Health Monitoring, vol.10, issue.1, pp.83-111, 2011. ,
REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS, Mechanical Systems and Signal Processing, pp.855-878, 1999. ,
DOI : 10.1006/mssp.1999.1249
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.3-5769, 2004. ,
DOI : 10.1016/j.jsv.2003.07.016
URL : https://hal.archives-ouvertes.fr/inria-00071940
Subspace-based damage detection under changes in the ambient excitation statistics, Mechanical Systems and Signal Processing, vol.45, issue.1, pp.207-224, 2014. ,
DOI : 10.1016/j.ymssp.2013.10.023
Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis, Annual Reviews in Control, vol.42, pp.244-256, 2016. ,
DOI : 10.1016/j.arcontrol.2016.08.002
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge, Engineering Structures, vol.69, pp.183-193, 2014. ,
DOI : 10.1016/j.engstruct.2014.03.010
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
Subspace-based fault detection algorithms for vibration monitoring, Automatica, vol.36, issue.1, pp.101-109, 2000. ,
DOI : 10.1016/S0005-1098(99)00093-X
Subspace-Based Damage Detection on Steel Frame Structure Under Changing Excitation, Structural Health Monitoring Conference Proceedings of the Society for Experimental Mechanics Series, pp.167-174, 2014. ,
DOI : 10.1007/978-3-319-04570-2_19
Using local tests to estimate convergence rates for identification, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), pp.1985-1990, 2000. ,
DOI : 10.1109/CDC.2000.912155
First-Order Perturbation Analysis of Singular Vectors in Singular Value Decomposition, IEEE Transactions on Signal Processing, vol.56, issue.7, pp.3044-3049, 2008. ,
DOI : 10.1109/TSP.2007.916137