Transactions of Nanjing University of Aeronautics & Astronautics
Monitoring of Wind Turbine Blades Based on Dual-Tree Complex Wavelet Transform
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Abstract:
Structural health monitoring （SHM） in-service is very important for wind turbine system. Because the central wavelength of a fiber Bragg grating （FBG） sensor changes linearly with strain or temperature， FBG-based sensors are easily applied to structural tests. Therefore， the monitoring of wind turbine blades by FBG sensors is proposed. The method is experimentally proved to be feasible. Five FBG sensors were set along the blade length in order to measure distributed strain. However， environmental or measurement noise may cover the structural signals. Dual-tree complex wavelet transform （DT-CWT） is suggested to wipe off the noise. The experimental studies indicate that the tested strain fluctuate distinctly as one of the blades is broken. The rotation period is about 1 s at the given working condition. However， the period is about 0.3 s if all the wind blades are in good conditions. Therefore， strain monitoring by FBG sensors could predict damage of a wind turbine blade system. Moreover， the studies indicate that monitoring of one blade is adequate to diagnose the status of a wind generator.
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Project Supported:
This work was supported by the National Natural Science Foundation of China （No.11402112） and the National Key Technology Support Program （No.2012BAA01B02）.
Clc Number:
TP29
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