Automatic identification of the modal parameters of an offshore wind turbine using state-of-the-art operational modal analysis techniques

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Devriendt, C (Author) Other; Magalhães, F. (Author) FEUP; Weijtjens, W (Author) Other; De Sitter, G (Author) Other; Cunha, A. (Author) FEUP; Guillaume, P (Author) Other

Conference proceedings International

Title: 5th International Operational Modal Analysis Conference, IOMAC 2013

Pages: 1-12

5th International Operational Modal Analysis Conference, IOMAC 2013

Guimaraes, 13 May 2013 through 15 May 2013

Indexing

Scopus - 11 Citations

Other information

Authenticus ID: P-009-SH2

Abstract (EN): This paper will present and discuss the approach and the first results of a long-term dynamic monitoring campaign on an offshore wind turbine in the Belgian North Sea. It will be shown that state-of-the art operational modal analysis techniques and the use of appropriate vibration measurement equipment can provide accurate estimates of natural frequencies, damping ratios and mode shapes of offshore wind turbines. To allow a proper continuous monitoring during operation a fast and reliable solution, which is applicable on industrial scale, has been developed. The methods have been automated and their reliability improved, so that no human interaction is required and the system can track small changes in the dynamic behaviour of the offshore wind turbine. The advanced modal analysis tools, which will be used, include the poly-reference Least Squares Complex Frequency-domain estimator (pLSCF)-commercially known as PolyMAX-estimator and the covariance driven Stochastic Subspace Identification method (SSI-COV).

Language: English

Type (Professor's evaluation): Scientific