Hybrid methodologies for modal parameters extraction for structural health monitoring

S. Villamizar-Delgado, J. M. Ramirez-Cortes, A. De Stefano, P. J. Escamilla-Ambrosio, M. G. Pulido-Navarro, J. Ortiz-Aguilar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, novel hybrid methodologies for modal parameters extraction using Empirical Mode Decomposition (EMD) based techniques combined with classic signal processing spectral analysis are presented. The modal frequencies are extracted by a methodology that combines EMD and Fast Fourier Transform (FFT). The damping factor is obtained by another methodology that uses FFT as a time-frequency estimator. The proposed methodologies were applied to real signals. Results have shown very good accuracy, precision, and low dispersion in comparison with other conventional methods.

Original languageEnglish
Title of host publication2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Conference Proceedings
EditorsLorena Garcia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509010844
DOIs
StatePublished - 18 Jul 2016
Event2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Cartagena, Colombia
Duration: 27 Apr 201629 Apr 2016

Publication series

Name2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Conference Proceedings

Conference

Conference2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016
Country/TerritoryColombia
CityCartagena
Period27/04/1629/04/16

Keywords

  • Modal parameter estimation
  • Structural Health Monitoring
  • damping evolution
  • joint EMD - FFT

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