High-speed imaging and image displacement identification techniques allow for high spatial resolution displacement field identification. To extend planar oscillation shapes to three-dimensional representations, frequency-domain triangulation of displacement amplitudes from multiple camera views is required. This method has been implemented in a Python package - pyidi3D. The proposed approach was validated on a impeller cover of a domestic vacuum cleaner suction unit, where operational deflection shapes were successfully identified up to 2500 Hz, with displacement amplitudes on the order of 0.1 µm.
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