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Vision-Based Faint Vibration Extraction Using Singular Value Decomposition

机译：基于奇异值分解的基于视觉的微弱振动提取

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摘要

Vibration measurement is important for understanding the behavior of engineering structures. Unlike conventional contact-type measurements, vision-based methodologies have attracted a great deal of attention because of the advantages of remote measurement, nonintrusive characteristic, and no mass introduction. It is a new type of displacement sensor which is convenient and reliable. This study introduces the singular value decomposition (SVD) methods for video image processing and presents a vibration-extracted algorithm. The algorithms can successfully realize noncontact displacement measurements without undesirable influence to the structure behavior. SVD-based algorithm decomposes a matrix combined with the former frames to obtain a set of orthonormal image bases while the projections of all video frames on the basis describe the vibration information. By means of simulation, the parameters selection of SVD-based algorithm is discussed in detail. To validate the algorithm performance in practice, sinusoidal motion tests are performed. Results indicate that the proposed technique can provide fairly accurate displacement measurement. Moreover, a sound barrier experiment showing how the high-speed rail trains affect the sound barrier nearby is carried out. It is for the first time to be realized at home and abroad due to the challenge of measuring environment.
机译：振动测量对于理解工程结构的行为很重要。与传统的接触式测量不同，基于视觉的方法由于具有远程测量，无干扰特性和无质量引入的优点而备受关注。它是一种新型的位移传感器，方便可靠。本研究介绍了用于视频图像处理的奇异值分解（SVD）方法，并提出了一种振动提取算法。该算法可以成功实现非接触式位移测量，而不会对结构行为产生不良影响。基于SVD的算法将与前几帧组合的矩阵分解，以获得一组正交图像基，而在此基础上所有视频帧的投影都描述了振动信息。通过仿真，详细讨论了基于SVD算法的参数选择。为了在实践中验证算法性能，执行了正弦运动测试。结果表明，所提出的技术可以提供相当准确的位移测量。此外，进行了一个声屏障实验，显示了高铁如何影响附近的声屏障。由于测量环境的挑战，这是首次在国内外实现。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|306865.1-306865.14|共14页
  • 作者

    Lei Xiujun; Guo Jie; Zhu Changan;

  • 作者单位

    Univ Sci & Technol China USTC, Dept Precis Machinery & Precis Instrumentat, Hefei 230027, Anhui, Peoples R China;

    Univ Sci & Technol China USTC, Dept Precis Machinery & Precis Instrumentat, Hefei 230027, Anhui, Peoples R China;

    Univ Sci & Technol China USTC, Dept Precis Machinery & Precis Instrumentat, Hefei 230027, Anhui, Peoples R China;

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