30 March 2009 Principal component analysis based system identification from digital camera measurement for frame structure
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Abstract
In this paper, a non-contact dynamic displacement measurement method based on video motion detection (VMD) technique and a structural modal identification technique based on the principal component analysis (PCA) is proposed for vibration tests and modal identification of frame structures. Relying on the instant digitized image acquiring using a digital video recorder and image processing based on the close-range photogrammetry theory, the dynamic deformation of a structure can be measured. The PCA is then employed to decompose the correlated structural deformation measurements into statistically uncorrelated ones. Under the condition of small damping, these uncorrelated data can be shown to be related to modal responses and can be used to estimate the modal parameters of a structure. To demo the process and validate its accuracy, a dynamic test on a scaled frame structure is conducted in the lab. Dynamic responses at given target point were obtained and structural modal parameters were estimated. Compared with the modal parameters obtained from the eigenvalue analysis of a FEM model, the proposed method is of enough precision for vibration tests and modal identification of frame structures.
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Ning Hou, Zhi Sun, "Principal component analysis based system identification from digital camera measurement for frame structure", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72922Y (30 March 2009); doi: 10.1117/12.816451; https://doi.org/10.1117/12.816451
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