Wind Turbine Blade Condition Monitoring and Damage Detection by Image-based Method and Frequency-based Analysis

被引：0
|
作者：
Yang, Jiansheng [1 ]
Zhao, Ling [2 ]
Lang, Zi-Qiang [2 ]
Zhang, Yang [3 ]
机构：
[1] Guizhou Univ, Elect Engn Coll, Guiyang, Peoples R China
[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
[3] Univ Sheffield, Dept Mech Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC) | 2018年
关键词：
Wind turbine blade; condition monitoring; damage detection; vibration measurement; frequency-based analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wind turbine blade condition monitoring is necessary for planning blade maintenance. In this paper, a wind turbine blade condition monitoring and damage detection based on vibration measurement using a image-based system is proposed. Blade are measured in undamaged and damaged conditions under various vibration frequencies and displacement amplitudes. The results were compared and analysed in both time and frequency domains. Then a frequency-based index is proposed to quantify the vibration dynamics and detect the damage.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Surface damage detection method for blade of wind turbine based on image segmentation
    Hu, Bin
    Li, Weibin
    Song, Chao
    Yuan, Keyi
    Zhao, Fan
    Wei, Dong
    2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), 2020, : 154 - 158
  • [2] Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry
    Dong Junchao
    Luo Mingming
    Liu Jianfei
    Yang Wenrong
    LASER & OPTOELECTRONICS PROGRESS, 2024, 61 (09)
  • [3] Damage detection of wind turbine blade based on wavelet analysis
    Zhao, Qian
    Li, Wei
    Shao, Yichuan
    Yao, Xingjia
    Tian, Haonan
    Zhang, Jing
    2015 8th International Congress on Image and Signal Processing (CISP), 2015, : 1406 - 1410
  • [4] Image-based structural health monitoring of a research-scale wind turbine blade
    Loh, C. H.
    Huang, Y. T.
    Hsiung, W. Y.
    Yang, Y. S.
    LIFE-CYCLE OF STRUCTURAL SYSTEMS: DESIGN, ASSESSMENT, MAINTENANCE AND MANAGEMENT, 2015, : 1057 - 1063
  • [5] Wind turbine blade damage modelling for condition monitoring
    Xiao, JS
    Ma, CF
    Sharpe, DJ
    Infeld, DG
    ENERGY CONVERSION AND APPLICATION, VOL I AND II, 2001, : 1180 - 1184
  • [6] Research on Wind Turbine Blade Damage Detection Based on Image Recognition Technology
    Xing, Yi
    Song, Li
    Liu, Bo
    Chen, Yongyan
    Jiao, Xiaofeng
    Feng, Boyu
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2025, 46 (01): : 92 - 97
  • [7] Image-based Damage Recognition of Wind Turbine Blades
    Yu, Yajie
    Cao, Hui
    Liu, Shang
    Yang, Shuo
    Bai, Ruixian
    2017 2ND INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM), 2017, : 161 - 166
  • [8] Transmissibility Damage Indicator for Wind Turbine Blade Condition Monitoring
    Zhang, Long
    Lang, Ziqiang
    Yang, Wen-Xian
    2015 21ST INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2015, : 33 - 36
  • [9] Research on wind turbine blade damage identification method based on thermal infrared image
    Yin Y.
    Zhang Y.
    Wang J.
    Wu G.
    Su L.
    Wang C.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (02): : 492 - 497
  • [10] Wind turbine blade damage detection based on acoustic signals
    Yang, Chenchen
    Ding, Shaohu
    Zhou, Guangsheng
    SCIENTIFIC REPORTS, 2025, 15 (01):
12345