Open Access
Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|
|
---|---|---|
Article Number | 02041 | |
Number of page(s) | 4 | |
Section | Energy Equipment and Application | |
DOI | https://doi.org/10.1051/e3sconf/201911802041 | |
Published online | 04 October 2019 |
- Yang B, Sun D. Testing inspecting and monitoring technologies for wind turbine blades: A survey. Renewable & Sustainable Energy Reviews, 22 (8), 515-526 (2013). [CrossRef] [Google Scholar]
- Adams D, White J, Rumsey M, et al. Structural health monitoring of wind turbines: method and application to a HAWT. Wind Energy, 14 (4), 603-623 (2011). [CrossRef] [Google Scholar]
- Luping Li, Mangmang Li, Fenghua Jin, et al. The application of vibration detection technology in blade crack fault monitoring of wind turbine. Journal of Engineering for Thermal Energy and Power, 28 (2), 208-222 (2013). [Google Scholar]
- Tang J L, Soua S, Maes C, et al. An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades. Renewable Energy, 99, 170-179 (2016). [Google Scholar]
- Rezaeim M, Behzad M, Moradi H, et al. Modal-based damage identification for the nonlinear model of modern wind turbine blade. Renewable Energy, 94, 391–409 (2016). [Google Scholar]
- Lee J K, Park J Y, Oh K Y, et al. Transformation algorithm of wind turbine blade moment signals for blade condition monitoring. Renewable Energy, 79 (1), 209-218 (2014). [Google Scholar]
- Doroshtnasir M, Worzewski T, Krankenhagen R, et al. On-site inspection of potential defects in wind turbine rotor blades with thermography. Wind Energy, 19 (8), 1407-1422 (2016). [CrossRef] [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.