Inspection Enhancement of Wind Turbine Blades Using Novel Signal-Processing Approaches

被引:0
作者
Tsai, Chin-Shun [1 ]
Huang, Shyh-Jier [2 ]
Hsieh, Cheng-Tao [1 ]
机构
[1] Natl Cheng Kung Univ, Degree Elect Engn, Tainan 70101, Taiwan
[2] Univ Washington, Degree Elect Engn, Washington, DC USA
来源
2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3 | 2009年
关键词
Generalized time-bandwidth product based short-time Fourier transform; convex set; wind turbine blade;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, a signal-processing approach is applied to enhance the inspection of wind turbine blades. This method starts with a time-frequency representation of signals, where a generalized time-bandwidth product method integrated with short-time Fourier transform is developed and applied. It is followed by the utilization of convex set to help justify the contour map such that the blade-condition monitoring can be better realized. Through test signals received from the sensors, it was found that the proposed approach would discriminate the damaged structure from the healthy one under several scenarios, thereby ensuring a higher efficiency of wind power generation.
引用
收藏
页码:981 / +
页数:3
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