TY - GEN
T1 - Inspection enhancement of wind turbine blades using novel signal-processing approaches
AU - Tsai, Chin Shun
AU - Huang, Shyh Jier
AU - Hsieh, Cheng Tao
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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U2 - 10.1109/PSCE.2009.4840038
DO - 10.1109/PSCE.2009.4840038
M3 - Conference contribution
AN - SCOPUS:70349182347
SN - 9781424438112
T3 - 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
BT - 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
T2 - 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
Y2 - 15 March 2009 through 18 March 2009
ER -