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Research Article

Characterization and Prediction of Wind Turbine Blade Damage Based on Fiber Grating Sensor

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  • @ARTICLE{10.4108/ew.5752,
        author={Xin Guan and Qizheng Mu and Xiaoju Yin and Yuxin Wang},
        title={Characterization and Prediction of Wind Turbine Blade Damage Based on Fiber Grating Sensor},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={4},
        keywords={wind turbine, wind turbine blade, damage detection, energy spectrum},
        doi={10.4108/ew.5752}
    }
    
  • Xin Guan
    Qizheng Mu
    Xiaoju Yin
    Yuxin Wang
    Year: 2024
    Characterization and Prediction of Wind Turbine Blade Damage Based on Fiber Grating Sensor
    EW
    EAI
    DOI: 10.4108/ew.5752
Xin Guan1, Qizheng Mu1, Xiaoju Yin2,*, Yuxin Wang3
  • 1: Shenyang Institute of Engineering
  • 2: Shenyang Institute of Automation
  • 3: Tianjin Agricultural University
*Contact email: lnsolyxj@163.com

Abstract

INTRODUCTION: As a renewable and clean use of energy, wind power generation has a very important role in the new energy generation industry. For the many parts of various wind turbines, the safety and reliability of wind turbine blades are very important. OBJECTIVES: The energy spectrum simulation algorithm included in the wavelet analysis method is used to simulate and analyzewind turbine blade damage, to verify the correctness and validity of wind turbine blade damage analysis. METHODS: Matlab simulation is used to introduce the experiments related to the static and dynamic detection of fiber grating sensors, analyze the signal characteristics of the wind turbine blade when it is damaged by the impact, and provide a basis for the analysis of the external damage of large wind turbine blade. RESULTS: The main results obtained in this paper are the following. By analyzing the decomposition of wavelet packets, the gradient change of wavelet impact energy spectrum before and after the wavelet damage was obtained and compared with the histogram, and the impact energy spectrum of each three-dimensional wavelet energy packet in the image was compared and analyzed, which can well realize the recognition of wavelet damage gradient for solid composite materials. CONCLUSION: With the help of Matlab simulation to collect the impact response signal, using the wavelet packet energy spectrum method to analyze the signal, can derive the characteristics of wind turbine blade damage.

Keywords
wind turbine, wind turbine blade, damage detection, energy spectrum
Received
2023-11-19
Accepted
2024-04-07
Published
2024-04-12
Publisher
EAI
http://dx.doi.org/10.4108/ew.5752

Copyright © 2024 X. Guan et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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