基于图像和频率分析的风力机叶片状态监测与损伤检测

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI:10.1109/ICMIC.2018.8529879

Jiansheng Yang, Ling Zhao, Z. Lang, Yang Zhang

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引用次数: 2

摘要

风力机叶片状态监测是规划叶片维护的必要条件。提出了一种基于图像的基于振动测量的风力机叶片状态监测与损伤检测系统。在不同的振动频率和位移幅值下，对叶片在未损坏和损坏的情况下进行了测量。在时域和频域对结果进行了比较和分析。然后提出了一种基于频率的指标来量化振动动力学和检测损伤。

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

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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来源期刊

2018 10th International Conference on Modelling, Identification and Control (ICMIC)

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