Fast detection of wind turbine blade damage using Cascade Mask R-DSCNN-aided drone inspection analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02450-6.pdf
Reference29 articles.
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4. Jha, S.K., Bilalovic, J., Jha, A., Patel, N., Zhang, H.: Renewable energy: present research and future scope of artificial intelligence. Renew. Sustain. Energy Rev. 77, 297–317 (2017)
5. Wymore, M.L., Van Dam, J.E., Ceylan, H., Qiao, D.: A survey of health monitoring systems for wind turbines. Renew. Sustain. Energy Rev. 52, 976–990 (2015)
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