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High-Speed Camera based Experimental Modal Analysis for Dynamic Testing of an Automotive Coil Spring

机译:基于高速摄像头的实验模态分析,用于汽车线圈弹簧的动态测试

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Experimental modal analysis (EMA) is a measurement technique to assess the dynamical properties of mechanical components and systems in various phases of their life cycle, e.g. for design, end-of-line testing and health monitoring. The most common EMA uses accelerometers, which provide high frequency acceleration measurements at a few discrete locations. However, attached accelerometers may alter the systems mass and damping properties and multiple tests are required to obtain spatially dense information. To overcome these issues, in this paper we use high-speed cameras and video processing algorithms. In fact, cameras as contact-less sensors do not modify the dynamics of the system under test. Furthermore, cameras provide full-field displacement data, allowing to obtain spatially dense transfer functions with a single excitation, which reduces the experiment duration. On the downside, camera measurements are suitable for relatively low-frequency applications only and require optical contrast on the component surface. While previous camera based research was focused on flat, plate-like components, we demonstrate the methodology on a 3D automotive coil spring. We use a stereo vision setup to measure the 3D displacement field, employing Lucas-Kanade optical flow as feature tracker. Thereby, we make use of local averaging for noise reduction. As cameras are able to capture static information the geometry of the component is obtained in addition to the modal parameters. This allows for intuitive visualization of the EMA results. For the automotive coil spring under investigation we obtain the displacement field up to 140 Hz with an estimated displacement accuracy in the range of a few micrometer. The EMA results are compared to an accelerometer based EMA highlighting the advantages of camera based EMA. Furthermore, we investigate the sensitivity of the camera based EMA with respect to excitation and environmental conditions and discuss two alternative markers to enhance image contrast.
机译:实验模态分析(EMA)是一种测量技术,可在其生命周期的各个阶段评估机械组件和系统的动力学特性,例如用于设计,结束测试和健康监测。最常见的EMA使用加速度计,可在几个离散位置提供高频加速度测量。但是,附着的加速度计可能会改变系统质量和阻尼特性,并且需要进行多个测试以获得空间密集的信息。为了克服这些问题,在本文中,我们使用高速相机和视频处理算法。实际上,作为无接触式传感器的摄像机不会修改正在测试的系统的动力学。此外,摄像机提供了全场位移数据,从而可以通过单个激发获得空间密集的传递函数,从而减少了实验持续时间。不利的一面是,相机测量仅适用于相对较低的频率应用,并且需要在组件表面上进行光学对比度。虽然以前的基于相机的研究集中在平坦的板状组件上,但我们在3D汽车线圈弹簧上演示了方法。我们使用立体声视觉设置来测量3D位移字段,采用Lucas-Kanade光流作为功能跟踪器。因此,我们利用局部平均来减少降噪。由于相机能够捕获静态信息,因此除模态参数外还获得了组件的几何形状。这允许对EMA结果的直观可视化。对于正在研究的汽车线圈弹簧,我们获得了高达140 Hz的位移场,估计位移精度在几微米的范围内。将EMA结果与基于加速度计的EMA进行比较,该结果突出了基于相机的EMA的优势。此外,我们研究了基于摄像机的EMA对激发和环境条件的敏感性,并讨论了两个替代标记以增强图像对比度。

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