Journal
EUROPEAN JOURNAL OF CONTROL
Volume 20, Issue 1, Pages 4-13Publisher
ELSEVIER
DOI: 10.1016/j.ejcon.2013.06.004
Keywords
SHM systems; Multivariate identification; AR models; AR plus noise models
Categories
Ask authors/readers for more resources
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. (C) 2013 European Control Association. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available