Study on Identification of Damage to Wind Turbine Blade Based on Support Vector Machine and Particle Swarm Optimization

Classification results of SVM-PSO In order to identify two failures of crack damage and edge damage to wind turbine blade, a damage identification system was designed by acoustic emission technique. This system took advantage of wireless technique for signal collection and transmission and upper com...

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Veröffentlicht in:	Journal of robotics and mechatronics 2015-06, Vol.27 (3), p.244-250
Hauptverfasser:	Gu, Guimei, Hu, Rang, Li, Yuanyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic emission Damage detection Data collection Data processing Particle swarm optimization Receiving Signal processing Support vector machines Turbine blades Wind damage Wind turbines
Online-Zugang:	Volltext
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