Issue
Mechanics & Industry
Volume 18, Number 8, 2017
Experimental Vibration Analysis
Article Number 806
Number of page(s) 9
DOI https://doi.org/10.1051/meca/2017046
Published online 13 April 2018
  1. L. Baringo, A.J. Conejo, Strategic wind power investment, IEEE Trans. Power Syst. 29 (2014) 1250–1260 [CrossRef] [Google Scholar]
  2. T. Sellami, Contribution à l'usage de l'analyse vibratoire comme outil de monitoring et de diagnostic d'avaries pour les machines électriques tournantes, thèse, Unversité de paris-Seine/Cergy Pontoise et Université de Monastir [Google Scholar]
  3. www.Mappi.net-www.Cartograf.fr©2009-2016 OnMyWeb Production, open source website [Google Scholar]
  4. T. Maatallah, N. Ghodhbane, S.B. Nasrallah, Assessment viability for hybrid energy system (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia, Renew. Sustain. Energy Rev. 59 (2016) 1639–1652 [CrossRef] [Google Scholar]
  5. J. Sopanen, V. Ruuskanen, J. Nerg, J. Pyrhonen, Dynamic torque analysis of a wind turbine drive train including a direct-driven permanent-magnet generator, IEEE Trans. Ind. Electron. 58 (2011) 3859–3867 [CrossRef] [Google Scholar]
  6. M.S. Allen, M.W. Sracic, S. Chauhan, M.H. Hansen, Output-only modal analysis of linear time-periodic systems with application to wind turbine simulation data, Mech. Syst. Signal Process. 25 (2011) 1174–1191 [CrossRef] [Google Scholar]
  7. M.H. Hansen, K. Thomsen, P. Fuglsang, T. Knudsen, Two methods for estimating aeroelastic damping of operational wind turbine modes from experiments, Wind Energy 9 (2006) 179–191 [CrossRef] [Google Scholar]
  8. K. Takizawa, B. Henicke, D. Montes, T.E. Tezduyar, M.C. Hsu, Y. Bazilevs, Numerical-performance studies for the stabilized space − time computation of wind-turbine rotor aerodynamics, Comput. Mech. 48 (2011) 647–657 [CrossRef] [Google Scholar]
  9. J.M. O'Brien, T.M. Young, D.C. O'Mahoney, P.C. Griffin, Horizontal axis wind turbine research: a review of commercial CFD, FE codes and experimental practices, Prog. Aerosp. Sci. 92 (2017) 1–24 [CrossRef] [Google Scholar]
  10. M.H. Hansen, Aeroelastic stability analysis of wind turbines using an eigenvalue approach, Wind Energy 7 (2004) 133–143 [CrossRef] [Google Scholar]
  11. H. Hirahara, M.Z. Hossain, M. Kawahashi, Y. Nonomura, Testing basic performance of a very small wind turbine designed for multi-purposes, Renew. Energy 30 (2005) 1279–1297 [CrossRef] [Google Scholar]
  12. M. Luczak, S. Manzato, B. Peeters, K. Branner, P. Berring, M. Kahsin, Updating finite element model of a wind turbine blade section using experimental modal analysis results, Shock Vib. (2014) [Google Scholar]
  13. J.P. Baqersad, P. Poozesh, C. Niezrecki, P. Avitabile, Comparison of modal parameters extracted using MIMO, SIMO, and impact hammer tests on a three-bladed wind turbine, in: Topics in Modal Analysis II, Springer, Cham, 8, 2014, pp. 185–197 [Google Scholar]
  14. A. Iliopoulos, R. Shirzadeh, W. Weijtjens, P. Guillaume, D. Van Hemelrijck, C. Devriendt, A modal decomposition and expansion approach for prediction of dynamic responses on a monopile offshore wind turbine using a limited number of vibration sensors, Mech. Syst. Signal Process. 68 (2016) 84–104 [CrossRef] [Google Scholar]
  15. J. Pacheco, G. Oliveira, F. Magalhães, A. Cunha, E. Caetano, Wind turbine vibration based SHM system: influence of the sensors layout and noise, Procedia Eng. 199 (2017) 2160–2216 [CrossRef] [Google Scholar]
  16. T. Sellami, H. Berriri, A.M. Darcherif, S. Jelassi, M.F. Mimouni, Modal and harmonic analysis of three-dimensional wind turbine models, Wind Eng. 40 (2016) 518–527 [CrossRef] [Google Scholar]
  17. T. Sellami, H. Berriri, S. Jelassi, A.M. Darcherif, M.F. Mimouni, Short-circuit fault tolerant control of a wind turbine driven induction generator based on sliding mode observers, Energies 10 (2017) 1611 [CrossRef] [Google Scholar]

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