Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (4MB) | Preview |
Cara Cañas, Francisco Javier ORCID: https://orcid.org/0000-0002-1543-3066, Juan Ruiz, Jesús
ORCID: https://orcid.org/0000-0003-2000-9013 and Alarcón Álvarez, Enrique
ORCID: https://orcid.org/0000-0001-6538-7814
(2014).
Estimating the modal parameters from multiple measurement setups using a joint state space model.
"Mechanical Systems and Signal Processing", v. 43
(n. 1-2);
pp. 171-191.
ISSN 0888-3270.
https://doi.org/10.1016/j.ymssp.2013.09.012.
Title: | Estimating the modal parameters from multiple measurement setups using a joint state space model |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Mechanical Systems and Signal Processing |
Date: | 3 February 2014 |
ISSN: | 0888-3270 |
Volume: | 43 |
Subjects: | |
Freetext Keywords: | Assembled mode shapes ; Multi-setup operational modal analysis ; Maximum likelihood estimation ; Expectation Maximization algorithm ; State space model |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Ingeniería de Organización, Administración de Empresas y Estadística |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (4MB) | Preview |
Computing the modal parameters of structural systems often requires processing data from multiple non-simultaneously recorded setups of sensors. These setups share some sensors in common, the so-called reference sensors, which are fixed for all measurements, while the other sensors change their position from one setup to the next. One possibility is to process the setups separately resulting in different modal parameter estimates for each setup. Then, the reference sensors are used to merge or glue the different parts of the mode shapes to obtain global mode shapes, while the natural frequencies and damping ratios are usually averaged. In this paper we present a new state space model that processes all setups at once. The result is that the global mode shapes are obtained automatically, and only a value for the natural frequency and damping ratio of each mode is estimated. We also investigate the estimation of this model using maximum likelihood and the Expectation Maximization algorithm, and apply this technique to simulated and measured data corresponding to different structures.
Item ID: | 23414 |
---|---|
DC Identifier: | https://oa.upm.es/23414/ |
OAI Identifier: | oai:oa.upm.es:23414 |
DOI: | 10.1016/j.ymssp.2013.09.012 |
Official URL: | http://www.sciencedirect.com/science/article/pii/S... |
Deposited by: | Biblioteca ETSI Industriales |
Deposited on: | 08 Apr 2014 05:50 |
Last Modified: | 03 Feb 2016 23:56 |