Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures, Structural Health Monitoring, vol.34, issue.1, pp.129-142, 2008. ,
DOI : 10.1177/1475921708089823
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
Detection of abrupt changes: theory and application, Citeseer, vol.10, 1993. ,
URL : https://hal.archives-ouvertes.fr/hal-00008518
Non-stationary consistency of subspace methods, IEEE Transactions on Automatic Control, issue.6, pp.52974-984, 2007. ,
Robust Subspace Based Fault Detection???, IFAC Proceedings Volumes, vol.44, issue.1, 2010. ,
DOI : 10.3182/20110828-6-IT-1002.00842
Fault-diagnosis systems: an introduction from fault detection to fault tolerance, 2006. ,
DOI : 10.1007/3-540-30368-5
Van der Auweraer, and A. Vecchio. Input/output versus output-only data processing for structural identification?application to in-flight data analysis, Journal of Sound and Vibration, vol.295, pp.3-5531, 2006. ,
Comparison of input signals in subspace identification of multivariable ill-conditioned systems, Journal of Process Control, vol.18, issue.6, pp.582-593, 2008. ,
DOI : 10.1016/j.jprocont.2007.10.003
Input design for model order determination in subspace identification, AIChE Journal, vol.31, issue.8, pp.2124-2132, 2003. ,
DOI : 10.1002/aic.690490820
Subspace Identification for Linear Systems: Theory, Implementation, Applications. Kluwer, 1996. ,
DOI : 10.1007/978-1-4613-0465-4