Vibration-based Identification of Hydrodynamic Loads and System Parameters for Offshore Wind Turbine Support Structures

D. J M Fallais, S. Voormeeren, E. Lourens

Research output: Contribution to journalConference articleScientificpeer-review

11 Citations (Scopus)
28 Downloads (Pure)

Abstract

For reliable structural health monitoring and possible lifetime extension of offshore wind turbine support structures, accurate predictions of the response of these structures at all critical locations are required. Response predictions in offshore wind applications are, however, affected by large uncertainties on environmental (wind/wave/soil) as well as system parameters (eigenfrequencies/damping). As a first step towards robust health monitoring in the presence of these uncertainties, a methodology for simultaneous estimation of a response equivalent hydrodynamic loading and a system parameter from measured vibration signals is proposed. Use is made of a recently proposed coupled input-state-parameter estimation technique based on the Extended Kalman filter. The identification process is driven by a limited set of artificially generated vibration response data in combination with an approximate reduced-order model of the support structure. The results show that the proposed method is capable of tracking both the response equivalent hydrodynamic loading and a parameter that is related to the stiffness of the substructure.

Original languageEnglish
Pages (from-to)191-198
Number of pages8
JournalEnergy Procedia
Volume94
DOIs
Publication statusPublished - 2016
Event13th Deep Sea Offshore Wind R&D Conference - Trondheim, Norway
Duration: 20 Jan 201622 Jan 2016
Conference number: 13
http://www.sintef.no/projectweb/deepwind_2016/

Keywords

  • Coupled input-state-parameter estimation
  • hydrodynamic load identification
  • offshore wind turbine
  • reduced-order model
  • support structure monitoring

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