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Home All issues Volume 12 (2025) Manufacturing Rev., 12 (2025) 12 References
Issue
Manufacturing Rev.
Volume 12, 2025
Advanced Manufacturing Research – Latest Developments
Article Number 12
Number of page(s) 10
DOI https://doi.org/10.1051/mfreview/2025008
Published online 25 April 2025
  1. Global Wind Energy Council, Wind power is crucial for combating climate change, https://gwec.net/wp-content/uploads/2012/06/Wind-climate-fact-sheet-low-res.pdf (accessed October 10, 2023) [Google Scholar]
  2. M. Soori, B. Arezoo, R. Dastres, Internet of Things for Smart Factories in Industry 4.0: A review, Internet Things Cyber-Phys. Syst. 3 (2023) 192–204 [CrossRef] [Google Scholar]
  3. S. Henning, W. Hasselbring, Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud, J. Syst. Softw. 208 (2024) 111879. [CrossRef] [Google Scholar]
  4. A. McCoy, W. Musial, R. Hammond, D. Mulas Hernando, P. Duffy, P. Beiter, P. Pérez, R. Baranowski, G. Reber, P. Spitsen, Offshore Wind Market Report: 2024 Edition, National Renewable Energy Laboratory, Golden, CO, NREL/TP-5000-90525, 2024. [Google Scholar]
  5. C. Pahl, Containerization and the PaaS Cloud, IEEE Cloud Comput. 2 (2015) 24–31 [CrossRef] [Google Scholar]
  6. L.A. Barroso, J. Clidaras, U. Hölzle, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, 2nd ed., Morgan & Claypool Publishers, 2013. [CrossRef] [Google Scholar]
  7. J.W. Rittinghouse, J.F. Ransome, Cloud Computing: Implementation, Management, and Security, CRC Press, 2009. [Google Scholar]
  8. S.J. Scott, P. Greaves, T. Macquart, A. Pirrera, Comparison of blade optimisation strategies for the IEA 15 MW reference turbine, J. Phys. Conf. Ser. 2265 (2022) 032029 [CrossRef] [Google Scholar]
  9. A. Lemartinel, M. Castro, O. Fouche, J.C. De Luca, J.F. Feller, Impact and strain monitoring in glass fibre reinforced epoxy laminates with embedded quantum resistive sensors (QRSs), Compos. Sci. Technol. 221 (2022) 109352. [CrossRef] [Google Scholar]
  10. M. Inalpolat, C. Niezrecki, Acoustic sensing-based operational monitoring of wind turbine blades, J. Phys. Conf. Ser. 1452 (2020) 012050. [CrossRef] [Google Scholar]
  11. S. Ding, C. Yang, S. Zhang, Acoustic-signal-based damage detection of wind turbine blades—A review, Sensors 23 (2023) 4987 [CrossRef] [Google Scholar]
  12. M.A. Fremmelev, P. Ladpli, E. Orlowitz, N. Dervilis, M. McGugan, K. Branner, A full-scale wind turbine blade monitoring campaign: Detection of damage initiation and progression using medium-frequency active vibrations, Struct. Health Monit. 22 (2023) 4171–4193 [CrossRef] [Google Scholar]
  13. A. Turner, T.W. Graver, Structural monitoring of wind turbine blades using fibre optic Bragg grating strain sensors, in: T. Proulx (Ed.), Experimental Mechanics on Emerging Energy Systems and Materials Vol. 5, Springer, New York, 2011, pp. 231–237 [Google Scholar]
  14. N.P. Avdelidis, T.-H. Gan, Non-destructive evaluation (NDE) of composites: Infrared (IR) thermography of wind turbine blades, in: Woodhead Publishing Series in Composites Science and Engineering, 2013, pp. 634–650. [Google Scholar]
  15. D.-W. Lim, S.C. Mantell, P.J. Seiler, Wireless structural health monitoring of wind turbine blades using an energy harvester as a sensor, presented at 32nd ASME Wind Energy Symposium, AIAA 2014-1395, January 201 [Google Scholar]
  16. S.-W. Choi, K.M. Farinholt, S.G. Taylor, A. Light-Marquez, G. Park, Damage identification of wind turbine blades using piezoelectric transducers, Shock Vib. (2014) Article ID 430854, 9 pages. [Google Scholar]
  17. S. Ding, C. Yang, S. Zhang, Acoustic-signal-based damage detection of wind turbine blades—A review, Sensors 23 (2023) 4987 [CrossRef] [Google Scholar]
  18. A. Carnero, C. Martín, M. Díaz, Structural health and intelligent monitoring of wind turbine blades with a motorised telescope, presented at 21st IEEE Int. Conf. Mach. Learn. Appl. (ICMLA), Nassau, Bahamas, 2022, pp. 105–112. [Google Scholar]
  19. J. Pacheco-Chérrez, O. Probst, Vibration-based damage detection in a wind turbine blade through operational modal analysis under wind excitation, Mater. Today 56, (2022) 291–297 [Google Scholar]
  20. F.P. Garcia Márquez, M. Papaelias, V.L. Jantara Junior, Introduction to non-destructive testing and condition monitoring techniques in wind energy, in: Wind Energy Engineering, Elsevier, 2023, pp. xxi–xxii. [Google Scholar]

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