Review of damage detection methods for wind turbine blades
1 Yanzhao Electric Power Laboratory of North China Electric Power University,Baoding 071003,China
2 School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China
3 Hebei Key Laboratory of Knowledge Computing for Energy and Power,Baoding 071003,China
4 Engineering Research Center of Intelligent Computing for Complex Energy Systems,Ministry of Education,Baoding 071003,China
5 Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding 071003,China
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