Fatigue stress estimation of offshore wind turbine using a Kalman filter in combination with accelerometers

Nymfa Noppe, Konstantinos Tatsis, Eleni Chatzi, Christof Devriendt, Wout Weijtjens

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

7 Citations (Scopus)

Abstract

An accurate stress or strain history at fatigue critical locations is often needed for a fatigue assessment. Unfortunately it is not feasible to install strain gauges as these fatigue hotspots. This contribution compares two techniques to obtain a reliable stress history at any location of the turbine structure, one is based on modal decomposition and expansion, the other is based on a Kalman filter. Both techniques will be validated and compared using data from an offshore wind turbine monitored by OWI-lab. The monitored turbine is instrumented with strain gauges at the interface between transition piece and tower and accelerometers at multiple levels. The installed strain gauges allow to validate the proposed techniques with respect to the reality.

Original languageEnglish
Title of host publicationProceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics
Subtitle of host publicationInternational Conference on Noise and Vibration Engineering
EditorsD. Moens, W. Desmet, B. Pluymers, W. Rottiers
Pages4847-4855
Number of pages9
ISBN (Electronic)9789073802995
Publication statusPublished - 2018
EventISMA 2018 -
Duration: 17 Sep 201819 Sep 2018
https://www.isma-isaac.be/isma2018/

Publication series

NameProceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics

Conference

ConferenceISMA 2018
Period17/09/1819/09/18
Internet address

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