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A Compressed Sensing Approach to Operational Modal Analysis Using Phase-Based Video Motion Magnification

机译:应用基于相位视频运动倍率的操作模态分析的压缩传感方法

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Phase-based video modal analysis is a modern method of extracting a modal model from a video of a structure's vibration response. The high spatial resolution inherent to cameras results in high-resolution mode shapes, an obvious advantage in any damage detection application. Unfortunately, the method is limited by the sampling rate of the camera, meaning the high-frequency modes often vital for damage localisation are unobtainable. This paper presents a novel application of compressive sensing to the phase-based video modal analysis method. Compressive sensing allows for signals to be recovered from far fewer samples than traditionally required by the Shannon-Nyquist theorem, thus extending the measurement range of a standard camera.
机译:基于相的视频模态分析是从结构振动响应的视频中提取模态模型​​的现代方法。相机固有的高空间分辨率导致高分辨率模式形状,在任何损坏检测应用中具有明显的优势。不幸的是,该方法受相机采样率的限制,这意味着高频模式通常对损坏定位至关重要。本文介绍了对基于相位的视频模态分析方法的压缩感应的新颖。压缩检测允许从少于传统上较少的样品中恢复信号,从而延伸标准相机的测量范围。

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