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Estimation of Dynamic Characteristics of Long-span Bridge Cables Using Image Signal Processing

机译：利用图像信号处理估计大跨度桥梁电缆的动力特性

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As to the long-span bridges, the health monitoring of a bridge can be identified by measuringrntension force on cable repeatedly. The tension force on cable is measured either by directrnmeasurement of stress of cable using load cell or hydraulic jack, or by vibration method estimatingrntension force using cable shape and measured dynamic characteristics. In this study, image signalrnprocessing was used to estimate the tension force of the remote cable using vibration method. Arnportable digital camcorder was used as a vision-based system in consideration of user conveniencernand economic feasibility. A digital image correlation (DIC) technique as one of digital imagernprocessing algorithm is applied to develop the image processing algorithm. The image transformrnfunction (ITF) was used to correct the geometric distortion between the deformed and undeformedrnimages, and to calculate the subpixel. The motion of the vision-based system was corrected using arnfixed object in the image, without installing an additional sensor, the resolution of dynamicrnresponses and modal frequencies were improved.
机译：对于大跨度桥梁，可以通过反复测量电缆上的拉力来识别桥梁的健康状况。电缆上的拉力可以通过使用称重传感器或液压千斤顶直接测量电缆的应力来测量，也可以通过振动方法使用电缆的形状和测得的动态特性估算拉力来进行测量。在这项研究中，使用图像信号处理通过振动方法估计远程电缆的张力。考虑到用户的便利性和经济可行性，便携式数码摄像机被用作基于视觉的系统。作为数字图像处理算法之一的数字图像相关技术（DIC）被用于开发图像处理算法。图像变换函数（ITF）用于校正变形和未变形图像之间的几何变形，并计算子像素。使用图像中的固定对象校正了基于视觉的系统的运动，而无需安装额外的传感器，从而改善了动态响应和模态频率的分辨率。

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