基于相机的动态振动分析使用基于变压器的模型CoTracker和动态模式分解
Liangliang Cheng1, Justin de Groot1, Kun Xie1
1Dynamics and Vibration Group, Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, 9712 CP Groningen, The Netherlands.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
本研究探讨使用CoTracker,一个计算机视觉模型,来测量结构振动. CoTracker显示了全场振动分析的巨大潜力,为传统加速度计提供了具有成本效益的替代方案.
科学领域:
- 结构健康监测 结构健康监测
- 计算机视觉 计算机视觉
- 机械工程 机械工程
背景情况:
- 加速度计是结构振动监测的标准,但成本昂贵,并提供基于点的数据.
- 计算机视觉和深度学习的进步使得像素级运动跟踪成为可能.
- 基于变压器的模型CoTracker在运动跟踪方面表现出色,但其在结构振动测量中的应用尚未得到充分探索.
研究的目的:
- 调查CoTracker模型在使用基于摄像头的系统提取全场结构振动时的有效性.
- 为了评估CoTracker在捕获模态分析密度点运动方面的性能.
- 将CoTracker与传统的加速度计和有限元法 (FEM) 进行比较,以测量振动.
主要方法:
- 使用CoTracker来跟踪一个横向光束的高速摄像机视频序列中的密度点运动.
- 使用延迟嵌入动态模式分解 (DMD) 进行模态分析,以提取模态参数.
- 将CoTracker结果与参考加速度计和FEM模拟数据进行比较.
主要成果:
- CoTracker成功捕获了密集点运动,表明结构振动.
- 模态参数,如自然频率,缓冲比率和模态形状,使用DMD进行了提取.
- CoTracker的性能与加速度计和FEM结果进行了验证,显示了高精度.
结论:
- CoTracker展示了无接触,全场结构振动测量的巨大潜力.
- 这种基于摄像头的方法为传统加速度计提供了一个有希望的,可能更具成本效益的替代方案.
- CoTracker适用于一般结构振动分析和状态监测.
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