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State space models for multi-setup operational modal analysis
Research Areas
  • Probabilistic theory and procedures,
  • Statistics,
  • Engineering,
  • Vibrations
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.
9th International Conference on Structural Dynamics, EURODYN 2014
Start Date
End Date
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Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014
  • Autor: Francisco Javier Cara Cañas (UPM)
  • Autor: Jesus Juan Ruiz (UPM)
  • Autor: Enrique Alarcon Alvarez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico
  • Grupo de Investigación: Ingeniería Sísmica: Dinámica de Suelos y Estructuras
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)