Open Access
| 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 | |
- L. Baringo, A.J. Conejo, Strategic wind power investment, IEEE Trans. Power Syst. 29 (2014) 1250–1260 [CrossRef] [Google Scholar]
- 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]
- www.Mappi.net-www.Cartograf.fr©2009-2016 OnMyWeb Production, open source website [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- M.H. Hansen, Aeroelastic stability analysis of wind turbines using an eigenvalue approach, Wind Energy 7 (2004) 133–143 [CrossRef] [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.