Journal
COMPUTERS & STRUCTURES
Volume 83, Issue 8-9, Pages 599-612Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2004.11.007
Keywords
measurement system configuration; entropy; system identification; model selection; parameter estimation
Ask authors/readers for more resources
This paper presents a generic methodology for measurement system configuration when the goal is to identify the behaviour models that reasonably explain observations. For such tasks, the best measurement system provides maximum separation between candidate models. In this work, the degree of separation between models is measured using Shannon's Entropy Function. The location and type of measurement devices are chosen such that the entropy of candidate models is greatest. This methodology has been tested on a laboratory structure and, to demonstrate generality, an existing fresh water supply network in a town in Switzerland. In both cases, the methodology suggests an appropriate set of sensors for identifying the state of the system. (c) 2004 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