First Results on Regularized Time-Varying Operational Modal Analysis

Research output: Chapter in Book/Report/Conference proceedingConference paper

2 Citations (Scopus)


This paper presents an efficient nonparametric time-varying time domain system identification method for the Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. In case of time-varying Operational Modal Analysis it is desired to carefully verify and track the vibration behavior, since during flutter appearance, system destruction can occur. In this work a method is provided to estimate the time-varying output autocorrelation function of vibrating structures and applied to a measurement of wind tunnel testing of an airplane. The proposed method is a novel extension of the regularization methods that have been developed for impulse response estimates of linear time-invariant systems. Using the proposed methodology, the estimated time-varying two-dimensional output autocorrelation model provides a good data-fit with respect to tracking of varying resonances.
Original languageEnglish
Title of host publication18th IFAC Symposium on System Identification SYSID 2018
Number of pages6
Publication statusPublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification: SYSID 2018 - AlbaNova University Center, Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018

Publication series

ISSN (Print)2405-8963


Conference18th IFAC Symposium on System Identification
Abbreviated titleSYSID 2018
Internet address


  • Bayesian methods
  • Filtering
  • Nonparametric methods
  • Operational Modal Analysis
  • Software for system identification
  • Time-varying system identification
  • smoothing


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