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.
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页数：6
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