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Sensors 2015, 15(8), 19992-20005;

Damage Detection Based on Static Strain Responses Using FBG in a Wind Turbine Blade

1,2,* , 1,2
The State Key Laboratory for Manufacturing Systems Engineering, Xi’an 710049, China
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
State Key Laboratory of Strength and Vibration for Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China
School of Aerospace, Xi’an Jiaotong University, Xi’an 710049, China
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 25 May 2015 / Revised: 8 August 2015 / Accepted: 11 August 2015 / Published: 14 August 2015
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [2521 KB, uploaded 14 August 2015]   |  


The damage detection of a wind turbine blade enables better operation of the turbines, and provides an early alert to the destroyed events of the blade in order to avoid catastrophic losses. A new non-baseline damage detection method based on the Fiber Bragg grating (FBG) in a wind turbine blade is developed in this paper. Firstly, the Chi-square distribution is proven to be an effective damage-sensitive feature which is adopted as the individual information source for the local decision. In order to obtain the global and optimal decision for the damage detection, the feature information fusion (FIF) method is proposed to fuse and optimize information in above individual information sources, and the damage is detected accurately through of the global decision. Then a 13.2 m wind turbine blade with the distributed strain sensor system is adopted to describe the feasibility of the proposed method, and the strain energy method (SEM) is used to describe the advantage of the proposed method. Finally results show that the proposed method can deliver encouraging results of the damage detection in the wind turbine blade. View Full-Text
Keywords: wind turbine blade; CSD; FIF; SEM; MDDE wind turbine blade; CSD; FIF; SEM; MDDE

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Tian, S.; Yang, Z.; Chen, X.; Xie, Y. Damage Detection Based on Static Strain Responses Using FBG in a Wind Turbine Blade. Sensors 2015, 15, 19992-20005.

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