Joint statistical analysis of multiple measurement setups for the estimation of vibrational modes

Cara Cañas, Francisco Javier and Juan Ruiz, Jesús and Alarcón Álvarez, Enrique (2013). Joint statistical analysis of multiple measurement setups for the estimation of vibrational modes. In: "IOMAC'13 - 5th. International Operational Modal Analysis Conference", 13/05/2013-15/05/2013, Guimaraes (Portugal).

Description

Title: Joint statistical analysis of multiple measurement setups for the estimation of vibrational modes
Author/s:
  • Cara Cañas, Francisco Javier
  • Juan Ruiz, Jesús
  • Alarcón Álvarez, Enrique
Item Type: Presentation at Congress or Conference (Article)
Event Title: IOMAC'13 - 5th. International Operational Modal Analysis Conference
Event Dates: 13/05/2013-15/05/2013
Event Location: Guimaraes (Portugal)
Title of Book: IOMAC'13 - 5th. International Operational Modal Analysis Conference
Date: 2013
Subjects:
Freetext Keywords: Multi-Setup Operational Modal Analysis, Assembling Mode shapes, Maximum Likelihood Estimation, 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

Computing the modal parameters of large structures in Operational Modal Analysis often requires to process data from multiple non simultaneously recorded setups of sensors. These setups share some sensors in common, the so-called reference sensors that are fixed for all the measurements, while the other sensors are moved from one setup to the next. One possibility is to process the setups separately what result 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 modes, while the natural frequencies and damping ratios are usually averaged. In this paper we present a state space model that can be used to process all setups at once so the global mode shapes are obtained automatically and subsequently only a value for the natural frequency and damping ratio of each mode is computed. We also present how this model can be estimated using maximum likelihood and the Expectation Maximization algorithm. We apply this technique to real data measured at a footbridge.

More information

Item ID: 30114
DC Identifier: http://oa.upm.es/30114/
OAI Identifier: oai:oa.upm.es:30114
Official URL: http://www.iomac.dk/
Deposited by: Biblioteca ETSI Industriales
Deposited on: 20 Jun 2014 08:35
Last Modified: 22 Sep 2014 11:47
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