Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
708251 | European Journal of Control | 2014 | 10 Pages |
Abstract
Structural Health Monitoring (SHM) methodologies are taking advantage of the development of new families of MEMS sensors and of the available network technologies. Advanced systems rely on intelligent bus-connected sensing units performing locally data filtering, elaboration and model identification. This paper describes a family of enhanced multivariate autoregressive models that can be used in SHM-oriented identification procedures and the implementation of a new advanced SHM system in the tower of the Engineering School of Bologna University. It describes also the results given by the considered procedure and a comparison of the implemented MEMS-based system with a traditional solution based on piezoelectric seismic accelerometers.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Roberto Guidorzi, Roberto Diversi, Loris Vincenzi, Claudio Mazzotti, Vittorio Simioli,