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Structural Modal Identification Through High Speed Camera Video: Motion Magnification

机译:通过高速摄像机视频的结构模态识别:运动放大率

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摘要

Video cameras offer the unique capability of collecting high density spatial data from a distant scene of interest. They could be employed as remote monitoring or inspection sensors because of their commonplace use, simplicity, and relatively low cost. The difficulty is in interpreting the video data into a usable format, such as displacement, that is familiar to engineers. A methodology called motion magnification, developed for visualizing exaggerated versions of small displacements, is extended to modal identification in structures. Experiments in a laboratory setting on a cantilever beam were performed to verify the method against accelerometer and laser vibrometer measurements. Motion magnification is used for modal analysis of cantilever beams to visualize mode shapes and calculate mode shape curvature as a basis for damage detection. Suggestions for applications of this methodology and challenges in real-world implementations are given.
机译:摄像机提供从遥感场景中收集高密度空间数据的独特能力。由于它们的使用,简单性和相对较低,它们可用作远程监控或检测传感器。难度在于将视频数据解释为可用的格式,例如位移,这是对工程师熟悉的。用于可视化夸大的小型位移的夸大版本的动作放大率的方法被扩展到结构中的模态标识。进行悬臂梁上的实验室设定的实验,以验证加速度计和激光振动计测量的方法。运动倍率用于悬臂梁的模态分析,以可视化模式形状并将模式形状曲率计算为损坏检测的基础。给出了这种方法和挑战在现实世界实施中的应用的建议。

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