Applying video magnification for vision-based operating deflection shape evaluation on a wind turbine blade cross-section
Applying video magnification for vision-based operating deflection shape evaluation on a wind turbine blade cross-section
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应用视频放大对风力涡轮机叶片横截面进行基于视觉的操作偏转形状评估
DOI：
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Zhu Mao
中科院分区：
文献类型：
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作者：
Aral Sarrafi;P. Poozesh;C. Niezrecki;Zhu Mao
基于相位的运动估计和视频放大是非接触和无目标的有效方法，用于提取振动结构的操作偏转形状。近年来，操作模态分析（OMA）和实验模态分析（EMA）作为研究最充分的结构动力学识别工具，受益于基于相位的运动估计和视频放大可以提供的独特优势。在这项研究中，采用基于相位的运动估计和视频放大技术来感知风力涡轮机叶片（WTB）横截面中的操作偏转形状和主导振动模式。此外，估计的谐振频率的商业加速度计的测量验证，以及表明基于相位的运动估计和视频放大提供的结果的可靠性。所识别的振动操作偏转形状和共振频率可以是用于设计改进以及有限元模型更新和模型验证的有价值的信息。此外，子部件结构研究可以利用从风力涡轮机叶片横截面上的基于视觉的OMA测试获得的结果。
Phase-based motion estimation and video magnification are non-contact and target-less efficient approaches that are being used to extract the operating deflection shapes of vibrating structures. In recent years, Operational Modal Analysis (OMA) and Experimental Modal Analysis (EMA) as the most well studied structural dynamics identification tools have benefited from the unique advantages that phase-based motion estimation and video magnification can offer. Within this study, the phase based motion estimation and video magnification techniques are adopted to perceive the operational deflection shapes and dominant vibration patterns in a Wind Turbine Blade (WTB) cross-section. Moreover, the estimated resonant frequencies are validate by the commercial accelerometer measurements as well that indicates the reliability of the results provided by phase-based motion estimation and video magnification. The identified vibrational operating deflection shapes and the resonant frequencies can be valuable information for design enhancement, as well as finite element model updating and model validation. Moreover, subcomponent structural studies can utilize the results obtained from the vision-based OMA test on the cross-section of the wind turbine blade.
DOI：
10.1177/1475921715624502
发表时间：
2016-01
期刊：
Structural Health Monitoring
影响因子：
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作者：
Arvin Ebrahimkhanlou;A. Farhidzadeh;S. Salamone
通讯作者：
Arvin Ebrahimkhanlou;A. Farhidzadeh;S. Salamone