Real-time monitoring, prognosis, and resilient control for wind turbine systems

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This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research in real-time monitoring, fault diagnosis, prognosis, and resilient control and design of wind turbine systems. After a strict peer-review process, 20 papers were selected, which represent the most recent progress of the real-time monitoring, diagnosis, prognosis, and resilient control methods/techniques in wind turbine systems.
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Controls & Reliability
Utility-Scale Wind
Journal Article
Gao, Zhiwei; Sheng, Shuangwen