Abstract
The active structural health monitoring (SHM) approach for the complex composite laminate structures of wind turbine blades (WTBs), addresses the important and complicated problem of signal noise. After illustrating the wind energy industry's development perspectives and its crucial requirement for SHM, an improved redundant second generation wavelet transform (IRSGWT) pre-processing algorithm based on neighboring coefficients is introduced for feeble signal denoising. The method can avoid the drawbacks of conventional wavelet methods that lose information in transforms and the shortcomings of redundant second generation wavelet (RSGWT) denoising that can lead to error propagation. For large scale WTB composites, how to minimize the number of sensors while ensuring accuracy is also a key issue. A sparse sensor array optimization of composites for WTB applications is proposed that can reduce the number of transducers that must be used. Compared to a full sixteen transducer array, the optimized eight transducer configuration displays better accuracy in identifying the correct position of simulated damage (mass of load) on composite laminates with anisotropic characteristics than a non-optimized array. It can help to guarantee more flexible and qualified monitoring of the areas that more frequently suffer damage. The proposed methods are verified experimentally on specimens of carbon fiber reinforced resin composite laminates.
Highlights
Wind energy is regarded as a key resource for meeting planned carbon emission reduction targets and achieving energy supply source diversification [1,2]
Aiming at extracting the weak signals from the polluted raw signals propagating in composite laminates for wind turbine blade applications, a proper improved redundant second generation wavelet transform (IRSGWT) algorithm based on neighboring coefficients is presented to help overcome the shortcomings of conventional wavelet threshold denoising [40,41,42]
The denoising algorithm of IRSGWT based on neighboring coefficients which was discussed in Section 3 was employed in the processing procedure
Summary
Wind energy is regarded as a key resource for meeting planned carbon emission reduction targets and achieving energy supply source diversification [1,2]. As the basic material of the structure, composites have played important roles in the wind power plant area, especially for wind turbine blades Along with their expanding applications, presence in essential parts and a higher proportion in structures, composites have become indicators for appraising advancements in structure design. In current SHM researches, the methods based on PZTs and active Lamb waves are the most frequently and broadly adopted effective methods for crucial structures due to their sensitivity for small sized damages. In the complex composite laminate structures of wind turbine blades, active monitoring faces a more serious and more complicated noise problem, so an appropriate denoising method must be used. The second section illustrates a view of the general damage analysis of wind turbine blades with composite structures. General Damage Analysis of Wind Turbine Blades with Composite Laminate Structures
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
