A light lithium niobate transducer for the ultrasonic de-icing of wind turbine blades
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DOI: 10.1016/j.renene.2016.05.020
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Cited by:
- Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
- Zeng, Jing & Song, Bingliang, 2017. "Research on experiment and numerical simulation of ultrasonic de-icing for wind turbine blades," Renewable Energy, Elsevier, vol. 113(C), pages 706-712.
- Wang, Yibing & Xu, Yuanming & Su, Fei, 2020. "Damage accumulation model of ice detach behavior in ultrasonic de-icing technology," Renewable Energy, Elsevier, vol. 153(C), pages 1396-1405.
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Keywords
Piezoelectric ceramics; Ultrasonic transducer; Lead free material; Harmonic analysis; Wind turbine blade de-icing; Ultrasonic de-icing;All these keywords.
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