Automated Operational Modal Analysis on a Full-Scale Wind Turbine Tower

Jens Kristian Mikkelsen, Esben Orlowitz, Peter Møller Juhl

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearch


This paper is concerned with the automated extraction of modal parameters (frequency and damping estimates) from accelerometer data measured on a full-scale wind turbine tower without its nacelle and blades installed. The proposed algorithm is based on an existing Operational Modal Analysis research software employing the Stochastic Subspace Identification algorithm for manual selection and extraction of modal parameters. The automatization of the algorithm is discussed in terms of the choices made and their consequences with respect to sensitivity and robustness. The algorithm is finally tested on a large experimental dataset consisting of 10 days of signals sampled at 25 Hz from two accelerometers mounted at the top of the tower in orthogonal directions. The automated algorithm is successful in time-tracking the development of the first two modes with respect to frequency and damping despite the challenge posed by the fact that due to the high degree of symmetry in the setup the
frequencies of the two modes are very similar.
Original languageEnglish
Publication date2023
Number of pages8
Publication statusPublished - 2023
EventIMAC-XLI: Keeping IMAC Weird: Traditional and Non-Traditional Applications of Structural Dynamics - Renaissance Austin Hotel, Austin, United States
Duration: 13. Feb 202316. Feb 2023


LocationRenaissance Austin Hotel
Country/TerritoryUnited States


  • Operational Modal Analysis
  • Modal parameter estimation
  • Automated method
  • Tracking of modes
  • Large structures


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