State space models for multi-setup operational modal analysis

Cara Cañas, Francisco Javier and Juan Ruiz, Jesús and Alarcón Álvarez, Enrique (2014). State space models for multi-setup operational modal analysis. In: "IX International Conference on Structural Dynamics", 30/06/2014-02/07/2014, Porto (Portugal). ISBN 978-972-752-165-4. pp. 2471-2476.

Description

Title: State space models for multi-setup operational modal analysis
Author/s:
  • Cara Cañas, Francisco Javier
  • Juan Ruiz, Jesús
  • Alarcón Álvarez, Enrique
Item Type: Presentation at Congress or Conference (Article)
Event Title: IX International Conference on Structural Dynamics
Event Dates: 30/06/2014-02/07/2014
Event Location: Porto (Portugal)
Title of Book: EURODYN 2014 : IX International Conference on Structural Dynamics : Proceedings
Date: July 2014
ISBN: 978-972-752-165-4
Subjects:
Freetext Keywords: Operational Modal Analysis, multiple setups of sensors, state space model, Expectation-Maximization algorithm
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

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Abstract

Operational Modal Analysis consists on estimate the modal parameters of a structure (natural frequencies, damping ratios and modal vectors) from output-only vibration measurements. The modal vectors can be only estimated where a sensor is placed, so when the number of available sensors is lower than the number of tested points, it is usual to perform several tests changing the position of the sensors from one test to the following (multiple setups of sensors): some sensors stay at the same position from setup to setup, and the other sensors change the position until all the tested points are covered. The permanent sensors are then used to merge the mode shape estimated at each setup (or partial modal vectors) into global modal vectors. Traditionally, the partial modal vectors are estimated independently setup by setup, and the global modal vectors are obtained in a postprocess phase. In this work we present two state space models that can be used to process all the recorded setups at the same time, and we also present how these models can be estimated using the maximum likelihood method. The result is that the global mode shape of each mode is obtained automatically, and subsequently, a single value for the natural frequency and damping ratio of the mode is computed. Finally, both models are compared using real measured data.

More information

Item ID: 39157
DC Identifier: http://oa.upm.es/39157/
OAI Identifier: oai:oa.upm.es:39157
Official URL: http://paginas.fe.up.pt/~eurodyn2014/CD/program.html
Deposited by: Biblioteca ETSI Industriales
Deposited on: 01 Feb 2016 14:08
Last Modified: 01 Feb 2016 14:08
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