Structural Health Monitoring (SHM) methodologies are taking advantage of the development of the new families ofMEMS sensors and of the progress in network technologies; future systems will rely on intelligent sensors performing locally datafiltering, elaboration and model identification, connected over suitable buses. This paper describes some families of multivariatemodels that can be used in SHM–oriented identification procedures and, in particular, the extension of AR models known asAR+noise. It describes also the implementation of a new advanced SHM system, the Teleco SHM602, in the tower of theEngineering School of Bologna University and the multivariate models identified from the data collected by this system.
Structural monitoring of the Tower of the Faculty of Engineering in Bologna using MEMS-based sensing / R., Guidorzi; R., Diversi; Vincenzi, Loris; C., Mazzotti; V., Simioli. - ELETTRONICO. - 1:(2011), pp. 2499-2506. (Intervento presentato al convegno 8th International Conference on Structural Dynamics, EURODYN 2011 tenutosi a Leuven nel 4-6 july 2011).
Structural monitoring of the Tower of the Faculty of Engineering in Bologna using MEMS-based sensing
VINCENZI, Loris;
2011
Abstract
Structural Health Monitoring (SHM) methodologies are taking advantage of the development of the new families ofMEMS sensors and of the progress in network technologies; future systems will rely on intelligent sensors performing locally datafiltering, elaboration and model identification, connected over suitable buses. This paper describes some families of multivariatemodels that can be used in SHM–oriented identification procedures and, in particular, the extension of AR models known asAR+noise. It describes also the implementation of a new advanced SHM system, the Teleco SHM602, in the tower of theEngineering School of Bologna University and the multivariate models identified from the data collected by this system.
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