Operational Modal Analysis on Wind Turbine Hub

Martin Juul, Ole Balling, Rune Brincker

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this paper we present a dataset for Operational Modal Analysis (OMA) on a Vestas V112 wind turbine hub and illustrate how reliable Automatic OMA (AOMA) can be done on this structure. The chosen AOMA algorithm is called the Smallest Sphere Algorithm (SSA), and is based on the sliding filter stability diagram recently introduced by Olsen et al. We show how the SSA is able to identify all modes of the hub dataset reliable, including many closely spaced modes. The algorithm also successfully identifies two triple modes automatically. We show how a set of manually identified mode shapes compares to the Finite Element (FE) model. In this context it is discussed how the phenomenon of closely spaced modes is handled by rotating the identified modes into a basis defined by the FE model. A method for mode shape merging for multi setup testing is discussed.
Original languageEnglish
Title of host publicationTopics in Modal Analysis and Testing : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018
EditorsMichael Mains , Brandon J. Dilworth
Number of pages9
Volume9
PublisherSpringer
Publication date2018
Pages69-77
Chapter8
ISBN (Print)978-3-319-74699-9
ISBN (Electronic)978-3-319-74700-2
DOIs
Publication statusPublished - 2018
Event36th International Modal Analysis Conference - Orlando, United States
Duration: 12 Feb 201815 Feb 2018
Conference number: 36

Conference

Conference36th International Modal Analysis Conference
Number36
Country/TerritoryUnited States
CityOrlando
Period12/02/201815/02/2018

Keywords

  • Engineering
  • Vibration, Dynamical Systems, Control
  • Civil Engineering
  • Structural Mechanics
  • Mathematical and Computational Engineering

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